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CMF and Scaled EFI OverlayCMF and Scaled EFI Overlay Indicator Overview The CMF and Scaled EFI Overlay indicator combines the Chaikin Money Flow (CMF) and a scaled version of the Elder Force Index (EFI) into a single chart. This allows traders to analyze both indicators simultaneously, facilitating better insights into market momentum and volume dynamics , specifically focusing on buying/selling pressure and momentum , without compromising the integrity of either indicator. Purpose Chaikin Money Flow (CMF): Measures buying and selling pressure by evaluating price and volume over a specified period. It indicates accumulation (buying pressure) when values are positive and distribution (selling pressure) when values are negative. Elder Force Index (EFI): Combines price changes and volume to assess the momentum behind market moves. Positive values indicate upward momentum (prices rising with strong volume), while negative values indicate downward momentum (prices falling with strong volume). By scaling the EFI to match the amplitude of the CMF, this indicator enables a direct comparison between pressure and momentum , preserving their shapes and zero crossings. Traders can observe the relationship between price movements, volume, and momentum more effectively, aiding in decision-making. Understanding Pressure vs. Momentum Chaikin Money Flow (CMF): - Indicates the level of demand (buying pressure) or supply (selling pressure) in the market based on volume and price movements. - Accumulation: When institutional or large investors are buying significant amounts of an asset, leading to an increase in buying pressure. - Distribution: When these investors are selling off their holdings, increasing selling pressure. Elder Force Index (EFI): - Measures the strength and speed of price movements, indicating how forceful the current trend is. - Positive Momentum: Prices are rising quickly, indicating a strong uptrend. - Negative Momentum: Prices are falling rapidly, indicating a strong downtrend. Understanding the difference between pressure and momentum is crucial. For example, a market may exhibit strong buying pressure (positive CMF) but weak momentum (low EFI), suggesting accumulation without significant price movement yet. Features Overlay of CMF and Scaled EFI: Both indicators are plotted on the same chart for easy comparison of pressure and momentum dynamics. Customizable Parameters: Adjust lengths for CMF and EFI calculations and fine-tune the scaling factor for optimal alignment. Preserved Indicator Integrity: The scaling method preserves the shape and zero crossings of the EFI, ensuring accurate analysis. How It Works CMF Calculation: - Calculates the Money Flow Multiplier (MFM) and Money Flow Volume (MFV) to assess buying and selling pressure. - CMF is computed by summing the MFV over the specified length and dividing by the sum of volume over the same period: CMF = (Sum of MFV over n periods) / (Sum of Volume over n periods) EFI Calculation: - Calculates the EFI using the Exponential Moving Average (EMA) of the price change multiplied by volume: EFI = EMA(n, Change in Close * Volume) Scaling the EFI: - The EFI is scaled by multiplying it with a user-defined scaling factor to match the CMF's amplitude. Plotting: - Both the CMF and the scaled EFI are plotted on the same chart. - A zero line is included for reference, aiding in identifying crossovers and divergences. Indicator Settings Inputs CMF Length (`cmf_length`): - Default: 20 - Description: The number of periods over which the CMF is calculated. A higher value smooths the indicator but may delay signals. EFI Length (`efi_length`): - Default: 13 - Description: The EMA length for the EFI calculation. Adjusting this value affects the sensitivity of the EFI to price changes. EFI Scaling Factor (`efi_scaling_factor`): - Default: 0.000001 - Description: A constant used to scale the EFI to match the CMF's amplitude. Fine-tuning this value ensures the indicators align visually. How to Adjust the EFI Scaling Factor Start with the Default Value: - Begin with the default scaling factor of `0.000001`. Visual Inspection: - Observe the plotted indicators. If the EFI appears too large or small compared to the CMF, proceed to adjust the scaling factor. Fine-Tune the Scaling Factor: - Increase or decrease the scaling factor incrementally (e.g., `0.000005`, `0.00001`, `0.00005`) until the amplitudes of the CMF and EFI visually align. - The optimal scaling factor may vary depending on the asset and timeframe. Verify Alignment: - Ensure that the scaled EFI preserves the shape and zero crossings of the original EFI. - Overlay the original EFI (if desired) to confirm alignment. How to Use the Indicator Analyze Buying/Selling Pressure and Momentum: - Positive CMF (>0): Indicates accumulation (buying pressure). - Negative CMF (<0): Indicates distribution (selling pressure). - Positive EFI: Indicates positive momentum (prices rising with strong volume). - Negative EFI: Indicates negative momentum (prices falling with strong volume). Look for Indicator Alignment: - Both CMF and EFI Positive: - Suggests strong bullish conditions with both buying pressure and upward momentum. - Both CMF and EFI Negative: - Indicates strong bearish conditions with selling pressure and downward momentum. Identify Divergences: - CMF Positive, EFI Negative: - Buying pressure exists, but momentum is negative; potential for a bullish reversal if momentum shifts. - CMF Negative, EFI Positive: - Selling pressure exists despite rising prices; caution advised as it may indicate a potential bearish reversal. Confirm Signals with Other Analysis: - Use this indicator in conjunction with other technical analysis tools (e.g., trend lines, support/resistance levels) to confirm trading decisions. Example Usage Scenario 1: Bullish Alignment - CMF Positive: Indicates accumulation (buying pressure). - EFI Positive and Increasing: Shows strengthening upward momentum. - Interpretation: - Strong bullish signal suggesting that buyers are active, and the price is likely to continue rising. - Action: - Consider entering a long position or adding to existing ones. Scenario 2: Bearish Divergence - CMF Negative: Indicates distribution (selling pressure). - EFI Positive but Decreasing: Momentum is positive but weakening. - Interpretation: - Potential bearish reversal; price may be rising but underlying selling pressure suggests caution. - Action: - Be cautious with long positions; consider tightening stop-losses or preparing for a possible trend reversal. Tips Adjust for Different Assets: - The optimal scaling factor may differ across assets due to varying price and volume characteristics. - Always adjust the scaling factor when analyzing a new asset. Monitor Indicator Crossovers: - Crossings above or below the zero line can signal potential trend changes. Watch for Divergences: - Divergences between the CMF and EFI can provide early warning signs of trend reversals. Combine with Other Indicators: - Enhance your analysis by combining this overlay with other indicators like moving averages, RSI, or Ichimoku Cloud. Limitations Scaling Factor Sensitivity: - An incorrect scaling factor may misalign the indicators, leading to inaccurate interpretations. - Regular adjustments may be necessary when switching between different assets or timeframes. Not a Standalone Indicator: - Should be used as part of a comprehensive trading strategy. - Always consider other market factors and indicators before making trading decisions. Disclaimer No Guarantee of Performance: - Past performance is not indicative of future results. - Trading involves risk, and losses can exceed deposits. Use at Your Own Risk: - This indicator is provided for educational purposes. - The author is not responsible for any financial losses incurred while using this indicator. Code Summary //@version=5 indicator(title="CMF and Scaled EFI Overlay", shorttitle="CMF & Scaled EFI", overlay=false) cmf_length = input.int(20, minval=1, title="CMF Length") efi_length = input.int(13, minval=1, title="EFI Length") efi_scaling_factor = input.float(0.000001, title="EFI Scaling Factor", minval=0.0, step=0.000001) // --- CMF Calculation --- ad = high != low ? ((2 * close - low - high) / (high - low)) * volume : 0 mf = math.sum(ad, cmf_length) / math.sum(volume, cmf_length) // --- EFI Calculation --- efi_raw = ta.ema(ta.change(close) * volume, efi_length) // --- Scale EFI --- efi_scaled = efi_raw * efi_scaling_factor // --- Plotting --- plot(mf, color=color.green, title="CMF", linewidth=2) plot(efi_scaled, color=color.red, title="EFI (Scaled)", linewidth=2) hline(0, color=color.gray, title="Zero Line", linestyle=hline.style_dashed) - Lines 4-6: Define input parameters for CMF length, EFI length, and EFI scaling factor. - Lines 9-11: Calculate the CMF. - Lines 14-16: Calculate the EFI. - Line 19: Scale the EFI by the scaling factor. - Lines 22-24: Plot the CMF, scaled EFI, and zero line. Feedback and Support Suggestions: If you have ideas for improvements or additional features, please share your feedback. Support: For assistance or questions regarding this indicator, feel free to contact the author through TradingView. --- By combining the CMF and scaled EFI into a single overlay, this indicator provides a powerful tool for traders to analyze market dynamics more comprehensively. Adjust the parameters to suit your trading style, and always practice sound risk management.
Penunjuk Pine Script®
oleh Rashino
OQBA Predictive Analysis EngineOQBA Predictive Analysis Engine (PAE) is an advanced predictive momentum and volatility-adaptive indicator designed to forecast trend shifts before they appear on traditional MACD-based tools. It combines linear-regression forecasting, MACD enhancement, R² stability analysis, and volatility-based confidence filtering to generate early and reliable BUY/SELL signals. 🔍 Core Features Predictive MACD Engine: Projects MACD, signal, and histogram values using linear regression to detect trend reversals ahead of time. Blended Price Forecasting: Smoothly mixes real price data with an optional forward-projection model for improved responsiveness. Enhanced Signal Smoothing: Integrates TEMA or EMA-based smoothing for cleaner and more stable momentum signals. Confidence System: Uses R² stability and ATR-based volatility to qualify signals and filter out market noise. Volatility Awareness: Automatically adjusts sensitivity depending on market expansion or compression. Strong Signal Detection: Highlights higher-quality signals when histogram momentum supports the predicted direction. On-Chart Visuals: Color-coded histogram, projected histogram, confidence levels, and optional background highlighting. 🚀 What This Indicator Helps You Do Anticipate early bullish or bearish shifts. Filter out low-probability signals during unstable or noisy market conditions. Track both real-time and projected momentum changes. Make more confident decisions using a transparent confidence metric. See BUY/SELL and BUY_STRONG/SELL_STRONG signals directly on the chart. 🧪 Recommended For Traders who want predictive signals rather than lagging confirmations. Momentum traders using MACD-style indicators. Swing traders, intraday traders, and algo-system testers. Anyone who wants a volatility-adaptive tool that avoids false signals. ⚙️ Customization Options Forecast blending weight MACD lengths & smoothing style Projection length Histogram smoothing Minimum confidence threshold ATR-based volatility filter Full visualization and alerts 📢 Alerts Included Predictive BUY Predictive SELL These alerts are triggered only when confidence and volatility conditions confirm the projected direction. 🔒 Premium Version Available A more advanced Premium version of this indicator is also available, offering additional features and enhanced predictive modules. For more information or access to the premium edition, feel free to contact me privately via : Telegram : t.me Email : techokba@gmail.com
Penunjuk Pine Script®
oleh oqba
FluidFlow OscillatorFluidFlow Oscillator: Study Material for Traders Overview The FluidFlow Oscillator is a custom technical indicator designed to measure price momentum and market flow dynamics by simulating fluid motion concepts such as velocity, viscosity, and turbulence. It helps traders identify potential buy and sell signals along with trend strength, momentum direction, and volatility conditions. This study explains the underlying calculation concepts, signal logic, visual cues, and how to interpret the professional dashboard table that summarizes key indicator readings. ________________________________________ How the FluidFlow Oscillator Works Core Mechanisms 1. Price Flow Velocity o Measures the rate of change of price over a specified flow length (default 40 bars). o Calculated as a percentage change of closing price: roc=close−closelen_flowcloselen_flow×100\text{roc} = \frac{\text{close} - \text{close}_{len\_flow}}{\text{close}_{len\_flow}} \times 100roc=closelen_flowclose−closelen_flow×100 o Smoothed by an EMA (Exponential Moving Average) to reduce noise, generating a "flow velocity" value. 2. Viscosity Factor o Analogous to fluid viscosity, it adjusts the flow velocity based on recent price volatility. o Volatility is computed as the standard deviation of close prices over the flow length. o The viscosity acts as a damping factor to slow down the flow velocity in highly volatile conditions. o This results in a "flow with viscosity" value, that smooths out the velocity considering market turbulence. 3. Turbulence Burst o Captures sudden changes or bursts in the flow by measuring changes between successive viscosity-adjusted flows. o The turbulence value is a smoothed absolute change in flow. o A burst boost factor is added to the oscillator to incorporate this rapid change component, amplifying signals during sudden shifts. 4. Oscillator Calculation o The raw oscillator value is the sum of flow with viscosity plus burst boost, scaled by 10. o Clamped between -100 and +100 to limit extremes. o Finally, smoothed again by EMA for cleaner visualization. ________________________________________ Signal Logic The oscillator works with complementary components to produce actionable signals: • Signal Line: An EMA-smoothed version of the oscillator for generating crossover-based signals. • Momentum: The rate of change of the oscillator itself, smoothed by EMA. • Trend: Uses fast (21-period EMA) and slow (50-period EMA) moving averages of price to identify market trend direction (uptrend, downtrend, or sideways). Signal Conditions • Bullish Signal (Buy): Oscillator crosses above the oversold threshold with positive momentum. • Bearish Signal (Sell): Oscillator crosses below the overbought threshold with negative momentum. Statuses The oscillator provides descriptive market states based on level and momentum: • Overbought • Oversold • Buy Signal • Sell Signal • Bullish / Bearish (momentum-driven) • Neutral (no clear trend) ________________________________________ Color System and Visualization The oscillator uses a sophisticated HSV color model adapting hues according to: • Oscillator value magnitude and sign (positive or negative) • Acceleration of oscillator changes • Smooth color gradients to facilitate intuitive understanding of trend strength and momentum shifts Background colors highlight overbought (red tint) and oversold (green tint) zones with transparency. ________________________________________ How to Understand the Professional Dashboard Table The FluidFlow Oscillator offers an integrated table at the bottom center of the chart. This dashboard summarizes critical indicator readings in 8 columns across 3 rows: Column Description SIGNAL Current signal status (e.g., Buy, Sell, Overbought) with color coding OSCILLATOR Current oscillator value (-100 to +100) with color reflecting intensity and direction MOMENTUM Momentum bias indicating strength/direction of oscillator changes (Strong Up, Up, Sideways, Down, Strong Down) TREND Current trend status based on EMAs (Strong Uptrend, Uptrend, Sideways, Downtrend, Strong Downtrend) VOLATILITY Volatility percentage relative to average, indicating market activity level FLOW Flow velocity value describing price momentum magnitude and direction TURBULENCE Turbulence level indicating sudden bursts or spikes in price movement PROGRESS Oscillator's position mapped as a percentage (0% to 100%) showing proximity to extreme levels Rows Explained • Row 1 (Header): Labels for each metric. • Row 2 (Values): Current numerical or descriptive values color-coded along a professional scheme: o Green or lime tones indicate positive or bullish conditions. o Red or orange tones indicate caution, sell signals, or bearish conditions. o Blue tones indicate neutral or stable conditions. • Row 3 (Status Indicators): Emoji-like icons and bars provide a quick visual gauge of each metric's intensity or signal strength: o For example, "🟢🟢🟢" suggests very strong bullish momentum, while "🔴🔴🔴" suggests strong bearish momentum. o Progress bar visually demonstrates oscillator movement toward oversold or overbought extremes. ________________________________________ Practical Interpretation Tips • A Buy signal with green colors and strong momentum usually precedes upward price moves. • An Overbought status with red background and red table colors warns of potential price corrections or reversals. • Watch the Turbulence to gauge market instability; spikes may precede price shocks or volatility bursts. • Confirm signals with the Trend and Momentum columns to avoid false entries. • Use the Progress bar to anticipate oscillations approaching key threshold levels for timing trades. ________________________________________ Alerts The oscillator supports alerts for: • Buy and sell signals based on oscillator crossovers. • Overbought and oversold levels reached. These help traders automate awareness of important market conditions. ________________________________________ Disclaimer The FluidFlow Oscillator and its signals are for educational and informational purposes only. They do not guarantee profits and should not be considered as financial advice. Always conduct your own research and use proper risk management when trading. Past performance is not indicative of future results. ________________________________________ This detailed explanation should help you understand the workings of the FluidFlow Oscillator, its components, signal logic, and how to analyze its professional dashboard for informed trading decisions.
Penunjuk Pine Script®
oleh aiTrendview-Charting-System
3
Standardized MACD Heikin-Ashi TransformedThe Standardized MACD Heikin-Ashi Transformed (St. MACD) is an advanced indicator designed to overcome the limitations of the traditional MACD. It offers a more robust and standardized measure of momentum, making it comparable across different timeframes and securities. By incorporating the Heikin-Ashi transformation, the St. MACD provides a smoother visualization of trends and potential reversals, enhancing its utility for traders seeking a clearer view of the underlying market direction. Methodology: The calculation of St. MACD begins with the traditional MACD, which computes the difference between two exponential moving averages (EMAs) of the price. To address the issue of non-comparability across assets, the St. MACD normalizes its values using the exponential average of the price's height. This normalization process ensures that the indicator's readings are not influenced by the absolute price levels, allowing for objective and quantitatively defined comparisons of momentum strength. Furthermore, St. MACD utilizes the Heikin-Ashi transformation, which involves deriving candles from the price data. These Heikin-Ashi candles provide a smoother representation of trends and help filter out noise in the market. A predictive curve of Heikin-Ashi candles within the St. MACD turns blue or red, indicating the prevailing trend direction. This feature enables traders to easily identify trend shifts and make better informed trading decisions. Advantages: St. MACD offers several key advantages over the traditional MACD- Standardization: By normalizing the indicator's values, St. MACD becomes comparable across different assets and timeframes. This makes it a valuable tool for traders analyzing various markets and seeking consistent momentum measurements. Heikin-Ashi Transformation: The integration of the Heikin-Ashi transformation smoothes out the indicator's fluctuations and enhances trend visibility. Traders can more easily identify trends and potential reversal points, improving their market analysis. Quantifiable Momentum: St. MACD's key levels represent the strength of momentum, providing traders with a quantifiable framework to gauge the intensity of market movements. This feature helps identify periods of increased or decreased momentum. Utility: The St. MACD indicator offers versatile utility for traders- Trend Identification: Traders can use the color-coded predictive curve of Heikin-Ashi candles to swiftly determine the prevailing trend direction. This aids in identifying potential entry and exit points in the market. Reversal Signals: Colored extremes within the St. MACD signal potential price reversals, alerting traders to potential turning points in the market. This assists in making timely decisions during market inflection points. Overbought/Oversold Conditions: The histogram version of St. MACD can be used in conjunction with the bands to detect short-term overbought or oversold market conditions, allowing traders to adjust their strategies accordingly. In conclusion, this tool addresses the limitations of the traditional MACD by providing a standardized and comparable momentum indicator. Its incorporation of the Heikin-Ashi transformation enhances trend visibility and assists traders in making more informed decisions. With its quantifiable momentum measurements and various utility features, the St. MACD is a valuable tool for traders seeking a clearer and more objective view of market trends and reversals. Key Features: Display Modes: MACD, Histogram or Hybrid Reversion Triangles by adjustable thresholds Bar Coloring Methods: MidLine, Candles, Signal Cross, Extremities, Reversions Example Charts: -Traditional limitations- -Comparisons across time and securities- -Showcase- See Also: -Other Heikin-Ashi Transforms-
Penunjuk Pine Script®
oleh EliCobra
53
Market Zone Analyzer[BullByte]Understanding the Market Zone Analyzer --- 1. Purpose of the Indicator The Market Zone Analyzer is a Pine Script™ (version 6) indicator designed to streamline market analysis on TradingView. Rather than scanning multiple separate tools, it unifies four core dimensions—trend strength, momentum, price action, and market activity—into a single, consolidated view. By doing so, it helps traders: • Save time by avoiding manual cross-referencing of disparate signals. • Reduce decision-making errors that can arise from juggling multiple indicators. • Gain a clear, reliable read on whether the market is in a bullish, bearish, or sideways phase, so they can more confidently decide to enter, exit, or hold a position. --- 2. Why a Trader Should Use It • Unified View: Combines all essential market dimensions into one easy-to-read score and dashboard, eliminating the need to piece together signals manually. • Adaptability: Automatically adjusts its internal weighting for trend, momentum, and price action based on current volatility. Whether markets are choppy or calm, the indicator remains relevant. • Ease of Interpretation: Outputs a simple “BULLISH,” “BEARISH,” or “SIDEWAYS” label, supplemented by an intuitive on-chart dashboard and an oscillator plot that visually highlights market direction. • Reliability Features: Built-in smoothing of the net score and hysteresis logic (requiring consecutive confirmations before flips) minimize false signals during noisy or range-bound phases. --- 3. Why These Specific Indicators? This script relies on a curated set of well-established technical tools, each chosen for its particular strength in measuring one of the four core dimensions: 1. Trend Strength: • ADX/DMI (Average Directional Index / Directional Movement Index): Measures how strong a trend is, and whether the +DI line is above the –DI line (bullish) or vice versa (bearish). • Moving Average Slope (Fast MA vs. Slow MA): Compares a shorter-period SMA to a longer-period SMA; if the fast MA sits above the slow MA, it confirms an uptrend, and vice versa for a downtrend. • Ichimoku Cloud Differential (Senkou A vs. Senkou B): Provides a forward-looking view of trend direction; Senkou A above Senkou B signals bullishness, and the opposite signals bearishness. 2. Momentum: • Relative Strength Index (RSI): Identifies overbought (above its dynamically calculated upper bound) or oversold (below its lower bound) conditions; changes in RSI often precede price reversals. • Stochastic %K: Highlights shifts in short-term momentum by comparing closing price to the recent high/low range; values above its upper band signal bullish momentum, below its lower band signal bearish momentum. • MACD Histogram: Measures the difference between the MACD line and its signal line; a positive histogram indicates upward momentum, a negative histogram indicates downward momentum. 3. Price Action: • Highest High / Lowest Low (HH/LL) Range: Over a defined lookback period, this captures breakout or breakdown levels. A closing price near the recent highs (with a positive MA slope) yields a bullish score, and near the lows (with a negative MA slope) yields a bearish score. • Heikin-Ashi Doji Detection: Uses Heikin-Ashi candles to identify indecision or continuation patterns. A small Heikin-Ashi body (doji) relative to recent volatility is scored as neutral; a larger body in the direction of the MA slope is scored bullish or bearish. • Candle Range Measurement: Compares each candle’s high-low range against its own dynamic band (average range ± standard deviation). Large candles aligning with the prevailing trend score bullish or bearish accordingly; unusually small candles can indicate exhaustion or consolidation. 4. Market Activity: • Bollinger Bands Width (BBW): Measures the distance between BB upper and lower bands; wide bands indicate high volatility, narrow bands indicate low volatility. • Average True Range (ATR): Quantifies average price movement (volatility). A sudden spike in ATR suggests a volatile environment, while a contraction suggests calm. • Keltner Channels Width (KCW): Similar to BBW but uses ATR around an EMA. Provides a second layer of volatility context, confirming or contrasting BBW readings. • Volume (with Moving Average): Compares current volume to its moving average ± standard deviation. High volume validates strong moves; low volume signals potential lack of conviction. By combining these tools, the indicator captures trend direction, momentum strength, price-action nuances, and overall market energy, yielding a more balanced and comprehensive assessment than any single tool alone. --- 4. What Makes This Indicator Stand Out • Multi-Dimensional Analysis: Rather than relying on a lone oscillator or moving average crossover, it simultaneously evaluates trend, momentum, price action, and activity. • Dynamic Weighting: The relative importance of trend, momentum, and price action adjusts automatically based on real-time volatility (Market Activity State). For example, in highly volatile conditions, trend and momentum signals carry more weight; in calm markets, price action signals are prioritized. • Stability Mechanisms: • Smoothing: The net score is passed through a short moving average, filtering out noise, especially on lower timeframes. • Hysteresis: Both Market Activity State and the final bullish/bearish/sideways zone require two consecutive confirmations before flipping, reducing whipsaw. • Visual Interpretation: A fully customizable on-chart dashboard displays each sub-indicator’s value, regime, score, and comment, all color-coded. The oscillator plot changes color to reflect the current market zone (green for bullish, red for bearish, gray for sideways) and shows horizontal threshold lines at +2, 0, and –2. --- 5. Recommended Timeframes • Short-Term (5 min, 15 min): Day traders and scalpers can benefit from rapid signals, but should enable smoothing (and possibly disable hysteresis) to reduce false whipsaws. • Medium-Term (1 h, 4 h): Swing traders find a balance between responsiveness and reliability. Less smoothing is required here, and the default parameters (e.g., ADX length = 14, RSI length = 14) perform well. • Long-Term (Daily, Weekly): Position traders tracking major trends can disable smoothing for immediate raw readings, since higher-timeframe noise is minimal. Adjust lookback lengths (e.g., increase adxLength, rsiLength) if desired for slower signals. Tip: If you keep smoothing off, stick to timeframes of 1 h or higher to avoid excessive signal “chatter.” --- 6. How Scoring Works A. Individual Indicator Scores Each sub-indicator is assigned one of three discrete scores: • +1 if it indicates a bullish condition (e.g., RSI above its dynamically calculated upper bound). • 0 if it is neutral (e.g., RSI between upper and lower bounds). • –1 if it indicates a bearish condition (e.g., RSI below its dynamically calculated lower bound). Examples of individual score assignments: • ADX/DMI: • +1 if ADX ≥ adxThreshold and +DI > –DI (strong bullish trend) • –1 if ADX ≥ adxThreshold and –DI > +DI (strong bearish trend) • 0 if ADX < adxThreshold (trend strength below threshold) • RSI: • +1 if RSI > RSI_upperBound • –1 if RSI < RSI_lowerBound • 0 otherwise • ATR (as part of Market Activity): • +1 if ATR > (ATR_MA + stdev(ATR)) • –1 if ATR < (ATR_MA – stdev(ATR)) • 0 otherwise Each of the four main categories shares this same +1/0/–1 logic across their sub-components. B. Category Scores Once each sub-indicator reports +1, 0, or –1, these are summed within their categories as follows: • Trend Score = (ADX score) + (MA slope score) + (Ichimoku differential score) • Momentum Score = (RSI score) + (Stochastic %K score) + (MACD histogram score) • Price Action Score = (Highest-High/Lowest-Low score) + (Heikin-Ashi doji score) + (Candle range score) • Market Activity Raw Score = (BBW score) + (ATR score) + (KC width score) + (Volume score) Each category’s summed value can range between –3 and +3 (for Trend, Momentum, and Price Action), and between –4 and +4 for Market Activity raw. C. Market Activity State and Dynamic Weight Adjustments Rather than contributing directly to the netScore like the other three categories, Market Activity determines how much weight to assign to Trend, Momentum, and Price Action: 1. Compute Market Activity Raw Score by summing BBW, ATR, KCW, and Volume individual scores (each +1/0/–1). 2. Bucket into High, Medium, or Low Activity: • High if raw Score ≥ 2 (volatile market). • Low if raw Score ≤ –2 (calm market). • Medium otherwise. 3. Apply Hysteresis (if enabled): The state only flips after two consecutive bars register the same high/low/medium label. 4. Set Category Weights: • High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %. • Medium Activity: Use the trader’s base weight inputs (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 % by default). D. Calculating the Net Score 5. Normalize Base Weights (so that the sum of Trend + Momentum + Price Action always equals 100 %). 6. Determine Current Weights based on the Market Activity State (High/Medium/Low). 7. Compute Each Category’s Contribution: Multiply (categoryScore) × (currentWeight). 8. Sum Contributions to get the raw netScore (a floating-point value that can exceed ±3 when scores are strong). 9. Smooth the netScore over two bars (if smoothing is enabled) to reduce noise. 10. Apply Hysteresis to the Final Zone: • If the smoothed netScore ≥ +2, the bar is classified as “Bullish.” • If the smoothed netScore ≤ –2, the bar is classified as “Bearish.” • Otherwise, it is “Sideways.” • To prevent rapid flips, the script requires two consecutive bars in the new zone before officially changing the displayed zone (if hysteresis is on). E. Thresholds for Zone Classification • BULLISH: netScore ≥ +2 • BEARISH: netScore ≤ –2 • SIDEWAYS: –2 < netScore < +2 --- 7. Role of Volatility (Market Activity State) in Scoring Volatility acts as a dynamic switch that shifts which category carries the most influence: 1. High Activity (Volatile): • Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal +1. • The script sets Trend weight = 50 % and Momentum weight = 35 %. Price Action weight is minimized at 15 %. • Rationale: In volatile markets, strong trending moves and momentum surges dominate, so those signals are more reliable than nuanced candle patterns. 2. Low Activity (Calm): • Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal –1. • The script sets Price Action weight = 55 %, Trend = 25 %, and Momentum = 20 %. • Rationale: In quiet, sideways markets, subtle price-action signals (breakouts, doji patterns, small-range candles) are often the best early indicators of a new move. 3. Medium Activity (Balanced): • Raw Score between –1 and +1 from the four volatility metrics. • Uses whatever base weights the trader has specified (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %). Because volatility can fluctuate rapidly, the script employs hysteresis on Market Activity State: a new High or Low state must occur on two consecutive bars before weights actually shift. This avoids constant back-and-forth weight changes and provides more stability. --- 8. Scoring Example (Hypothetical Scenario) • Symbol: Bitcoin on a 1-hour chart. • Market Activity: Raw volatility sub-scores show BBW (+1), ATR (+1), KCW (0), Volume (+1) → Total raw Score = +3 → High Activity. • Weights Selected: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Trend Signals: • ADX strong and +DI > –DI → +1 • Fast MA above Slow MA → +1 • Ichimoku Senkou A > Senkou B → +1 → Trend Score = +3 • Momentum Signals: • RSI above upper bound → +1 • MACD histogram positive → +1 • Stochastic %K within neutral zone → 0 → Momentum Score = +2 • Price Action Signals: • Highest High/Lowest Low check yields 0 (close not near extremes) • Heikin-Ashi doji reading is neutral → 0 • Candle range slightly above upper bound but trend is strong, so → +1 → Price Action Score = +1 • Compute Net Score (before smoothing): • Trend contribution = 3 × 0.50 = 1.50 • Momentum contribution = 2 × 0.35 = 0.70 • Price Action contribution = 1 × 0.15 = 0.15 • Raw netScore = 1.50 + 0.70 + 0.15 = 2.35 • Since 2.35 ≥ +2 and hysteresis is met, the final zone is “Bullish.” Although the netScore lands at 2.35 (Bullish), smoothing might bring it slightly below 2.00 on the first bar (e.g., 1.90), in which case the script would wait for a second consecutive reading above +2 before officially classifying the zone as Bullish (if hysteresis is enabled). --- 9. Correlation Between Categories The four categories—Trend Strength, Momentum, Price Action, and Market Activity—often reinforce or offset one another. The script takes advantage of these natural correlations: • Bullish Alignment: If ADX is strong and pointed upward, fast MA is above slow MA, and Ichimoku is positive, that usually coincides with RSI climbing above its upper bound and the MACD histogram turning positive. In such cases, both Trend and Momentum categories generate +1 or +2. Because the Market Activity State is likely High (given the accompanying volatility), Trend and Momentum weights are at their peak, so the netScore quickly crosses into Bullish territory. • Sideways/Consolidation: During a low-volatility, sideways phase, ADX may fall below its threshold, MAs may flatten, and RSI might hover in the neutral band. However, subtle price-action signals (like a small breakout candle or a Heikin-Ashi candle with a slight bias) can still produce a +1 in the Price Action category. If Market Activity is Low, Price Action’s weight (55 %) can carry enough influence—even if Trend and Momentum are neutral—to push the netScore out of “Sideways” into a mild bullish or bearish bias. • Opposing Signals: When Trend is bullish but Momentum turns negative (for example, price continues up but RSI rolls over), the two scores can partially cancel. Market Activity may remain Medium, in which case the netScore lingers near zero (Sideways). The trader can then wait for either a clearer momentum shift or a fresh price-action breakout before committing. By dynamically recognizing these correlations and adjusting weights, the indicator ensures that: • When Trend and Momentum align (and volatility supports it), the netScore leaps strongly into Bullish or Bearish. • When Trend is neutral but Price Action shows an early move in a low-volatility environment, Price Action’s extra weight in the Low Activity State can still produce actionable signals. --- 10. Market Activity State & Its Role (Detailed) The Market Activity State is not a direct category score—it is an overarching context setter for how heavily to trust Trend, Momentum, or Price Action. Here’s how it is derived and applied: 1. Calculate Four Volatility Sub-Scores: • BBW: Compare the current band width to its own moving average ± standard deviation. If BBW > (BBW_MA + stdev), assign +1 (high volatility); if BBW < (BBW_MA × 0.5), assign –1 (low volatility); else 0. • ATR: Compare ATR to its moving average ± standard deviation. A spike above the upper threshold is +1; a contraction below the lower threshold is –1; otherwise 0. • KCW: Same logic as ATR but around the KCW mean. • Volume: Compare current volume to its volume MA ± standard deviation. Above the upper threshold is +1; below the lower threshold is –1; else 0. 2. Sum Sub-Scores → Raw Market Activity Score: Range between –4 and +4. 3. Assign Market Activity State: • High Activity: Raw Score ≥ +2 (at least two volatility metrics are strongly spiking). • Low Activity: Raw Score ≤ –2 (at least two metrics signal unusually low volatility or thin volume). • Medium Activity: Raw Score is between –1 and +1 inclusive. 4. Hysteresis for Stability: • If hysteresis is enabled, a new state only takes hold after two consecutive bars confirm the same High, Medium, or Low label. • This prevents the Market Activity State from bouncing around when volatility is on the fence. 5. Set Category Weights Based on Activity State: • High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %. • Medium Activity: Use trader’s base weights (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %). 6. Impact on netScore: Because category scores (–3 to +3) multiply by these weights, High Activity amplifies the effect of strong Trend and Momentum scores; Low Activity amplifies the effect of Price Action. 7. Market Context Tooltip: The dashboard includes a tooltip summarizing the current state—e.g., “High activity, trend and momentum prioritized,” “Low activity, price action prioritized,” or “Balanced market, all categories considered.” --- 11. Category Weights: Base vs. Dynamic Traders begin by specifying base weights for Trend Strength, Momentum, and Price Action that sum to 100 %. These apply only when volatility is in the Medium band. Once volatility shifts: • High Volatility Overrides: • Trend jumps from its base (e.g., 40 %) to 50 %. • Momentum jumps from its base (e.g., 30 %) to 35 %. • Price Action is reduced to 15 %. Example: If base weights were Trend = 40 %, Momentum = 30 %, Price Action = 30 %, then in High Activity they become 50/35/15. A Trend score of +3 now contributes 3 × 0.50 = +1.50 to netScore; a Momentum +2 contributes 2 × 0.35 = +0.70. In total, Trend + Momentum can easily push netScore above the +2 threshold on its own. • Low Volatility Overrides: • Price Action leaps from its base (30 %) to 55 %. • Trend falls to 25 %, Momentum falls to 20 %. Why? When markets are quiet, subtle candle breakouts, doji patterns, and small-range expansions tend to foreshadow the next swing more effectively than raw trend readings. A Price Action score of +3 in this state contributes 3 × 0.55 = +1.65, which can carry the netScore toward +2—even if Trend and Momentum are neutral or only mildly positive. Because these weight shifts happen only after two consecutive bars confirm a High or Low state (if hysteresis is on), the indicator avoids constantly flipping its emphasis during borderline volatility phases. --- 12. Dominant Category Explained Within the dashboard, a label such as “Trend Dominant,” “Momentum Dominant,” or “Price Action Dominant” appears when one category’s absolute weighted contribution to netScore is the largest. Concretely: • Compute each category’s weighted contribution = (raw category score) × (current weight). • Compare the absolute values of those three contributions. • The category with the highest absolute value is flagged as Dominant for that bar. Why It Matters: • Momentum Dominant: Indicates that the combined force of RSI, Stochastic, and MACD (after weighting) is pushing netScore farther than either Trend or Price Action. In practice, it means that short-term sentiment and speed of change are the primary drivers right now, so traders should watch for continued momentum signals before committing to a trade. • Trend Dominant: Means ADX, MA slope, and Ichimoku (once weighted) outweigh the other categories. This suggests a strong directional move is in place; trend-following entries or confirming pullbacks are likely to succeed. • Price Action Dominant: Occurs when breakout/breakdown patterns, Heikin-Ashi candle readings, and range expansions (after weighting) are the most influential. This often happens in calmer markets, where subtle shifts in candle structure can foreshadow bigger moves. By explicitly calling out which category is carrying the most weight at any moment, the dashboard gives traders immediate insight into why the netScore is tilting toward bullish, bearish, or sideways. --- 13. Oscillator Plot: How to Read It The “Net Score” oscillator sits below the dashboard and visually displays the smoothed netScore as a line graph. Key features: 1. Value Range: In normal conditions it oscillates roughly between –3 and +3, but extreme confluences can push it outside that range. 2. Horizontal Threshold Lines: • +2 Line (Bullish threshold) • 0 Line (Neutral midline) • –2 Line (Bearish threshold) 3. Zone Coloring: • Green Background (Bullish Zone): When netScore ≥ +2. • Red Background (Bearish Zone): When netScore ≤ –2. • Gray Background (Sideways Zone): When –2 < netScore < +2. 4. Dynamic Line Color: • The plotted netScore line itself is colored green in a Bullish Zone, red in a Bearish Zone, or gray in a Sideways Zone, creating an immediate visual cue. Interpretation Tips: • Crossing Above +2: Signals a strong enough combined trend/momentum/price-action reading to classify as Bullish. Many traders wait for a clear crossing plus a confirmation candle before entering a long position. • Crossing Below –2: Indicates a strong Bearish signal. Traders may consider short or exit strategies. • Rising Slope, Even Below +2: If netScore climbs steadily from neutral toward +2, it demonstrates building bullish momentum. • Divergence: If price makes a higher high but the oscillator fails to reach a new high, it can warn of weakening momentum and a potential reversal. --- 14. Comments and Their Necessity Every sub-indicator (ADX, MA slope, Ichimoku, RSI, Stochastic, MACD, HH/LL, Heikin-Ashi, Candle Range, BBW, ATR, KCW, Volume) generates a short comment that appears in the detailed dashboard. Examples: • “Strong bullish trend” or “Strong bearish trend” for ADX/DMI • “Fast MA above slow MA” or “Fast MA below slow MA” for MA slope • “RSI above dynamic threshold” or “RSI below dynamic threshold” for RSI • “MACD histogram positive” or “MACD histogram negative” for MACD Hist • “Price near highs” or “Price near lows” for HH/LL checks • “Bullish Heikin Ashi” or “Bearish Heikin Ashi” for HA Doji scoring • “Large range, trend confirmed” or “Small range, trend contradicted” for Candle Range Additionally, the top-row comment for each category is: • Trend: “Highly Bullish,” “Highly Bearish,” or “Neutral Trend.” • Momentum: “Strong Momentum,” “Weak Momentum,” or “Neutral Momentum.” • Price Action: “Bullish Action,” “Bearish Action,” or “Neutral Action.” • Market Activity: “Volatile Market,” “Calm Market,” or “Stable Market.” Reasons for These Comments: • Transparency: Shows exactly how each sub-indicator contributed to its category score. • Education: Helps traders learn why a category is labeled bullish, bearish, or neutral, building intuition over time. • Customization: If, for example, the RSI comment says “RSI neutral” despite an impending trend shift, a trader might choose to adjust RSI length or thresholds. In the detailed dashboard, hovering over each comment cell also reveals a tooltip with additional context (e.g., “Fast MA above slow MA” or “Senkou A above Senkou B”), helping traders understand the precise rule behind that +1, 0, or –1 assignment. --- 15. Real-Life Example (Consolidated) • Instrument & Timeframe: Bitcoin (BTCUSD), 1-hour chart. • Current Market Activity: BBW and ATR both spike (+1 each), KCW is moderately high (+1), but volume is only neutral (0) → Raw Market Activity Score = +2 → State = High Activity (after two bars, if hysteresis is on). • Category Weights Applied: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Trend Sub-Scores: 1. ADX = 25 (above threshold 20) with +DI > –DI → +1. 2. Fast MA (20-period) sits above Slow MA (50-period) → +1. 3. Ichimoku: Senkou A > Senkou B → +1. → Trend Score = +3. • Momentum Sub-Scores: 4. RSI = 75 (above its moving average +1 stdev) → +1. 5. MACD histogram = +0.15 → +1. 6. Stochastic %K = 50 (mid-range) → 0. → Momentum Score = +2. • Price Action Sub-Scores: 7. Price is not within 1 % of the 20-period high/low and slope = positive → 0. 8. Heikin-Ashi body is slightly larger than stdev over last 5 bars with haClose > haOpen → +1. 9. Candle range is just above its dynamic upper bound but trend is already captured, so → +1. → Price Action Score = +2. • Calculate netScore (before smoothing): • Trend contribution = 3 × 0.50 = 1.50 • Momentum contribution = 2 × 0.35 = 0.70 • Price Action contribution = 2 × 0.15 = 0.30 • Raw netScore = 1.50 + 0.70 + 0.30 = 2.50 → Immediately classified as Bullish. • Oscillator & Dashboard Output: • The oscillator line crosses above +2 and turns green. • Dashboard displays: • Trend Regime “BULLISH,” Trend Score = 3, Comment = “Highly Bullish.” • Momentum Regime “BULLISH,” Momentum Score = 2, Comment = “Strong Momentum.” • Price Action Regime “BULLISH,” Price Action Score = 2, Comment = “Bullish Action.” • Market Activity State “High,” Comment = “Volatile Market.” • Weights: Trend 50 %, Momentum 35 %, Price Action 15 %. • Dominant Category: Trend (because 1.50 > 0.70 > 0.30). • Overall Score: 2.50, posCount = (three +1s in Trend) + (two +1s in Momentum) + (two +1s in Price Action) = 7 bullish signals, negCount = 0. • Final Zone = “BULLISH.” • The trader sees that both Trend and Momentum are reinforcing each other under high volatility. They might wait one more candle for confirmation but already have strong evidence to consider a long. --- • . --- Disclaimer This indicator is strictly a technical analysis tool and does not constitute financial advice. All trading involves risk, including potential loss of capital. Past performance is not indicative of future results. Traders should: • Always backtest the “Market Zone Analyzer ” on their chosen symbols and timeframes before committing real capital. • Combine this tool with sound risk management, position sizing, and, if possible, fundamental analysis. • Understand that no indicator is foolproof; always be prepared for unexpected market moves. Goodluck -BullByte! ---
Penunjuk Pine Script®
oleh BullByte
2
Consecutive CandlesSummary This indicator helps visualize short-term momentum by automatically drawing boxes around sequences of consecutive same-colored candles (bullish or bearish). It's designed to quickly highlight periods of sustained buying or selling pressure directly on your chart. How it Works Consecutive Candle Detection: The script monitors the chart bar by bar, tracking consecutive candles where close > open (bullish) or close < open (bearish). Box Drawing: When a sequence of same-colored candles reaches a user-defined minimum length (default is 3) and this sequence is then broken by an opposite-colored candle or a doji, a box is drawn. Box Boundaries: The top of the box is set to the highest high price reached during the sequence. The bottom of the box is set to the lowest low price reached during the sequence. The left edge of the box aligns with the start time of the first candle in the sequence. The right edge of the box aligns with the end time of the last candle in the sequence. Stability: Uses xloc = xloc.bar_time to ensure boxes remain accurately anchored to the price bars when zooming or panning the chart. Real-time Extension: For active sequences meeting the minimum length on the latest developing bar, the box is optionally extended to the right. Features Automatically identifies and boxes sequences of 3 or more (customizable) consecutive bullish candles. Automatically identifies and boxes sequences of 3 or more (customizable) consecutive bearish candles. Extends box in real-time for active qualifying sequences. Customizable minimum candle count (>= 2). Customizable colors for bullish/bearish boxes and borders. Settings You can customize the indicator via the Settings menu (gear icon): Minimum Consecutive Candles: Define how many candles in a row are needed to draw a box (Default: 3). Bullish Box Color: Set the fill color for boxes around bullish sequences. Bearish Box Color: Set the fill color for boxes around bearish sequences. Box Border Color: Set the color for the border of all boxes. Potential Use Cases Momentum Identification: Quickly spot periods of strong, uninterrupted buying or selling. Exhaustion/Reversal Signals: Very long sequences might indicate potential exhaustion, setting up reversal opportunities. Consolidation Breakouts: A box forming after a period of tight consolidation can highlight the range just before a potential breakout. Confirmation: Use the boxes as confirmation for entries or exits based on momentum shifts. Disclaimer: This indicator provides visual aids based on price action. It should not be used as a standalone trading system. Always use indicators in conjunction with your own analysis and risk management rules.
Penunjuk Pine Script®
oleh Jayaraman-SB
Luxy Sector & Industry RS AnalyzerEver wonder why some stocks soar while others in the same sector barely move? Or why your perfectly timed entry still loses money? Possibly the answer can be found in Relative Strength. The Luxy Sector & Industry RS Analyzer solves a critical problem that most traders overlook: picking strong stocks in strong sectors AND strong industries . It's not enough for a stock to go up - you want stocks that are crushing their competition at both the sector AND industry level. This indicator does the heavy lifting by automatically comparing your stock against its sector ETF, industry ETF, the broader market, sector leader, and industry leader, giving you a complete multi-level picture of relative performance. What makes this different? - Automatic sector AND industry detection - no manual setup required - Multi-level hierarchy analysis: Market → Sector → Industry → Stock - Multi-timeframe analysis (1 month to 1 year) in one glance - Industry ETF mapping (30+ industries covered) - Clear 0-100 scoring system with letter grades (A+ to F) - Works on stocks, crypto, forex, and commodities - Real-time updates with anti-repaint protection Think of it as your performance dashboard - instantly showing you if you're trading a champion or a laggard at every level of the market hierarchy. METHODOLOGY & ATTRIBUTION This indicator is based on classical Relative Strength (RS) analysis principles from technical analysis. RS methodology compares an asset's price performance against a benchmark to identify relative outperformance or underperformance. This concept has been used by professional traders and institutions for decades. Key Concepts Used: Relative Strength (RS) - Classical technical analysis concept measuring comparative performance Multi-Level Hierarchy Analysis - Market → Sector → Industry → Stock comparison Sector Rotation Analysis - Identifying which sectors are leading or lagging the market Industry Rotation Analysis - Identifying which industries are leading within their sectors Multi-period Performance Analysis - Evaluating strength across multiple timeframes Beta Calculation - Standard statistical measure of volatility relative to a benchmark DISCLAIMER: This indicator is for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy or sell. Past performance does not guarantee future results. Trading involves risk and may not be suitable for all investors. Always do your own research and consult with a financial advisor before making investment decisions. with all rows visible - capture when stock has strong RS score (70+) so users can see what a "good" setup looks like] WHAT THE INDICATOR SHOWS 1. AUTOMATIC ASSET TYPE DETECTION The indicator automatically identifies what you're analyzing and adjusts accordingly: Stocks - Compares to sector ETF (XLK, XLF, XLV, etc.) and SPY Crypto - Compares to Total Crypto Market Cap and Bitcoin Forex - Compares to relevant currency index (DXY, EXY, etc.) Commodities - Compares to Gold (GLD) as benchmark Indices - Compares to broader market indices How it works: The indicator reads your chart's asset type and ticker, then automatically maps it to the correct sector or benchmark. For stocks, it uses intelligent sector detection (looking at the sector field) to match you with the right sector ETF. For example: - Technology stocks get compared to XLK (Technology Select Sector SPDR) - Financial stocks get compared to XLF (Financial Select Sector SPDR) - Healthcare stocks get compared to XLV (Health Care Select Sector SPDR) This happens instantly when you add the indicator to any chart - no configuration needed. 2. SECTOR & MARKET BENCHMARKS What is a Sector ETF? A sector ETF is an exchange-traded fund that tracks a specific industry group. For example, XLK contains all major technology companies. By comparing your stock to its sector ETF, you can see if your stock is outperforming or underperforming its peers. The indicator shows three key comparison points: Stock vs Sector (Benchmark) This tells you how your stock performs compared to companies in the same industry. Positive numbers mean your stock is beating the sector average. Negative numbers mean it's lagging behind. Stock vs Market (SPY) This shows performance against the broader S&P 500 index. This is important because even if a stock beats its sector, the entire sector might be weak. You want stocks that beat both their sector AND the market. Sector vs Market This reveals "sector rotation" - whether money is flowing into or out of this sector. When this number is positive, the whole sector is hot and leading the market. This is powerful because strong sectors tend to lift all boats, making it easier to find winners. 3. MULTI-PERIOD PERFORMANCE ANALYSIS The indicator calculates performance across four timeframes simultaneously: 1 Month (1M) - Recent short-term momentum 3 Months (3M) - Medium-term trend strength 6 Months (6M) - Longer-term positioning 1 Year (1Y) - Full-cycle performance view Why multiple periods matter: A stock might look great over 1 month but terrible over 6 months - that's a red flag. The best stocks show consistent strength across all timeframes . When you see positive RS (Relative Strength) values across all four periods, you've found a stock with sustained outperformance. Each row in the table shows: - Raw performance percentage for that period - RS value (the difference compared to benchmark) - Color coding: Green for positive, red for negative, white for neutral 4. SECTOR LEADER COMPARISON The indicator automatically identifies and compares your stock to the sector leader - the dominant stock in that industry. Sector leaders by industry: Technology: Apple (AAPL) Healthcare: UnitedHealth (UNH) Financial: JPMorgan Chase (JPM) Energy: ExxonMobil (XOM) Consumer Discretionary: Amazon (AMZN) Consumer Staples: Walmart (WMT) And more... Why this matters: Comparing to the leader shows you if you're trading a champion or a follower. If your stock consistently beats the sector leader, you've found something special. If it's lagging the leader, you might want to trade the leader instead. Optional Custom Leader: You can override the automatic leader and compare to any stock you choose. This is useful if you want to benchmark against a specific competitor or reference stock. NEW! INDUSTRY ANALYSIS (STOCKS ONLY) The indicator now provides multi-level analysis by automatically detecting and comparing your stock to its specific industry , not just the broad sector. Why Industry matters: Technology sector (XLK) contains many different industries: Software, Semiconductors, Hardware, etc. A software stock might beat the broad tech sector but lag behind other software companies. Industry analysis provides this granular view. Industry ETF Mapping (30+ industries): Software/Applications: IGV (iShares Software ETF) Semiconductors: SMH (VanEck Semiconductor ETF) Biotech: IBB (iShares Biotechnology ETF) Pharmaceuticals: XPH (SPDR Pharmaceuticals ETF) Banks: KBE (SPDR S&P Bank ETF) Regional Banks: KRE (SPDR Regional Banking ETF) Oil & Gas Exploration: XOP (SPDR Oil & Gas Exploration ETF) Homebuilders: XHB (SPDR Homebuilders ETF) Retail: XRT (SPDR S&P Retail ETF) Aerospace & Defense: ITA (iShares U.S. Aerospace & Defense ETF) And many more... Industry Leader Mapping: The indicator also identifies the leader within each industry: Software: Microsoft (MSFT) Semiconductors: NVIDIA (NVDA) Biotech: Amgen (AMGN) Pharmaceuticals: Eli Lilly (LLY) Banks: JPMorgan (JPM) Oil Exploration: ConocoPhillips (COP) And more... New Table Rows for Stocks: Industry ETF Performance - How the specific industry performed (green background) Industry Leader Performance - How the top stock in the industry performed vs Industry RS - Your stock's outperformance vs its industry ETF Industry vs Sector RS - Is this industry hot or cold within its sector? vs Industry Leader RS - Your stock's performance vs the industry's best Why this is powerful: A stock that beats both its sector AND its industry is showing strength at every level. This indicates true relative strength, not just riding sector-wide momentum. Optional Custom Industry: You can override automatic detection for both Industry ETF and Industry Leader in settings. 5. RS SCORE & GRADING SYSTEM (0-100) The heart of the indicator is the RS Score - a weighted calculation that distills all the performance data into one clear number from 0 to 100. How the score is calculated: FOR STOCKS (with Industry data): The indicator splits the weight between Sector (60%) and Industry (40%): SECTOR RS (60% of total weight): 1 Month RS: 24% weight (40% × 0.6) 3 Month RS: 18% weight (30% × 0.6) 6 Month RS: 12% weight (20% × 0.6) 1 Year RS: 6% weight (10% × 0.6) INDUSTRY RS (40% of total weight): 1 Month RS: 16% weight (40% × 0.4) 3 Month RS: 12% weight (30% × 0.4) 6 Month RS: 8% weight (20% × 0.4) 1 Year RS: 4% weight (10% × 0.4) FOR OTHER ASSETS (Crypto, Forex, Commodities): Uses full 100% weight on benchmark: 1 Month RS: 40% weight 3 Month RS: 30% weight 6 Month RS: 20% weight 1 Year RS: 10% weight It starts at 50 (neutral) and adds or subtracts points based on your asset's relative strength in each period. Bonus points: +5 points if the sector is outperforming the market (sector rotation is bullish) +5 points if the industry is outperforming its sector (hot industry) - STOCKS ONLY +5 points if RS momentum is improving (getting stronger over time) -5 points if RS momentum is declining (getting weaker) The final score is capped between 0-100. Letter Grade System: 90-100: A+ - Elite performer, crushing the sector 85-89: A - Excellent, strong outperformer 80-84: A- - Very good, above average 75-79: B+ - Good, solid performer 70-74: B - Above average, decent strength 65-69: B- - Slightly above average 60-64: C+ - Average, neutral strength 55-59: C - Below average 50-54: C- - Weak, slight underperformance 45-49: D+ - Concerning weakness 40-44: D - Poor, significant underperformance 0-39: F - Failing, avoid this stock What scores mean for trading: - RS Score above 70: Strong stocks worth considering for long positions - RS Score 50-70: Average stocks, better opportunities elsewhere - RS Score below 50: Weak stocks, avoid or consider for shorts 6. CONSISTENCY SCORE This metric shows what percentage of time periods show positive RS . For STOCKS (with Industry data): Counts both Sector RS periods AND Industry RS periods (up to 8 total periods): - If a stock beats both sector and industry in all 4 periods each: Consistency = 100% (8/8) - If it beats in 6 out of 8 total periods: Consistency = 75% - If it beats in 4 out of 8 total periods: Consistency = 50% For OTHER ASSETS: Counts benchmark periods only (4 total): - If it beats benchmark in all 4 periods (1M, 3M, 6M, 1Y): Consistency = 100% - If it beats in 3 out of 4 periods: Consistency = 75% - If it beats in 2 out of 4 periods: Consistency = 50% Why consistency matters: A high RS Score with low consistency might indicate a recent spike that could fade. The best stocks show both high RS Score AND high consistency - they're strong now AND have been strong historically at both the sector AND industry level. Look for stocks with: Consistency above 75%: Very reliable strength across all levels Consistency 50-75%: Decent but check other metrics Consistency below 50%: Weak or erratic, proceed with caution 7. BETA CALCULATION (Volatility Measure) Beta measures how much more volatile your stock is compared to its sector. Beta > 1.2 : High volatility - stock moves more aggressively than sector (marked as "High") Beta 0.8-1.2 : Normal volatility - moves roughly in line with sector Beta < 0.8 : Low volatility - stock is more stable than sector (marked as "Low") Formula used: Beta = Correlation(Stock, Sector) × (Standard Deviation of Stock / Standard Deviation of Sector) This uses a 20-period calculation for reliability. How to use Beta: - High Beta stocks offer bigger gains but also bigger risks - good for aggressive traders - Low Beta stocks are more defensive - good for conservative positions - Match Beta to your risk tolerance and strategy 8. DAYS ABOVE/BELOW SECTOR This tracks consecutive periods (bars) where your stock outperforms or underperforms its sector. Days Above Sector: Counts how many bars in a row your stock has beaten the sector. 10+ days: Strong sustained strength (shown in bright green) 5-9 days: Building momentum (shown in yellow) 1-4 days: Early strength (shown in white) 0 days: Not currently outperforming Days Below Sector: Counts how many bars in a row your stock has lagged the sector. 10+ days: Sustained weakness (shown in bright red) 5-9 days: Losing momentum (shown in orange) 1-4 days: Minor weakness (shown in white) 0 days: Not underperforming (this is good!) Why this matters: Long streaks show trend persistence. A stock with 15+ days above sector is riding strong momentum. A stock with 15+ days below sector is in a sustained downtrend relative to peers. 9. PRICE VS 52-WEEK HIGH Shows where current price sits relative to its 52-week high (or equivalent for your timeframe). 95%+ (green) : Stock is near all-time highs - strong positioning 80-94% (yellow) : Stock is in a pullback but still relatively strong Below 80% : Stock has pulled back significantly from highs Why this matters: The strongest stocks stay near their highs. When you see a stock with high RS Score AND price near 52W high, you've found a stock with institutional support and strong buying pressure. 10. RELATIVE VOLUME Compares current volume to the 20-period average volume. 1.5x+ (green) : High volume - significant interest and participation Around 1.0x : Average volume - normal trading activity Below 1.0x : Low volume - less interest or inactive period Why volume matters: High relative volume confirms price moves. When a stock makes a strong move on 2x or 3x normal volume, it's more likely to sustain. Low volume moves are often just noise. 11. AVERAGE RS STRENGTH This calculates the average absolute value of all RS readings across the four timeframes. It shows the magnitude of divergence from the sector, regardless of direction. A high number means the stock moves very differently from its sector (could be much stronger or much weaker). A low number means it tracks closely with the sector. High Average RS: Stock has strong character, moves independently Low Average RS: Stock follows sector closely, lacks individual strength 12. SECTOR ROTATION SIGNAL This indicator automatically detects when a sector is experiencing bullish rotation - meaning money is flowing into the sector and it's outperforming the broader market. Condition for bullish rotation: Sector must be beating SPY (market) in both 1-month AND 3-month periods. Why this matters: Stocks in hot sectors tend to perform better because they have tailwinds from sector-wide buying. When sector rotation is bullish and your stock has a high RS Score, you've found an ideal setup. The indicator adds +5 bonus points to the RS Score when sector rotation is bullish. 13. MOMENTUM DETECTION The indicator compares 1-month RS to 3-month RS to detect if momentum is improving or declining. RS Momentum Improving: 1M RS is better than 3M RS - stock is getting stronger (adds +5 to score) RS Momentum Declining: 1M RS is worse than 3M RS - stock is getting weaker (subtracts -5 from score) Why momentum matters: You want to catch stocks as momentum is building, not after it's already peaked. Improving momentum suggests the strength is accelerating, not fading. 14. OVERALL ASSESSMENT & RECOMMENDATION The indicator provides two quick summary rows: Overall Rating: Based on grade and RS Score, you get an instant quality rating: Strong Leader (A/A+) - Top tier stock, crushing it Above Average (A-/B+) - Solid performer, better than most Average (B/B-) - Middle of the pack Below Average (C/C+) - Struggling, watch carefully Underperformer (D/F) - Weak stock, underperforming badly Trading Signal: Combines multiple factors to give setup quality: STRONG BUY SETUP - RS Score 70+, Consistency 75+, AND sector rotation bullish. This is the perfect storm - strong stock, consistent strength, hot sector. BULLISH - RS Score 60+, Consistency 50+. Good quality stock worth considering. NEUTRAL - RS Score 50+. Okay but not exciting, better opportunities exist. WEAK - RS Score 40-49. Below average, risky. AVOID - RS Score below 40. Stay away, too weak. IMPORTANT: These are educational signals only, not financial advice. Always do your own analysis and risk management. KEY FEATURES 1. AUTOMATIC EVERYTHING - Auto-detects asset type (stock, crypto, forex, commodity, index) - Auto-maps stocks to correct sector ETF (11 sectors covered) - Auto-maps stocks to correct industry ETF (30+ industries covered) - Auto-identifies sector leader AND industry leader - Auto-selects appropriate market benchmark - Zero configuration required - just add to chart 2. MULTI-ASSET SUPPORT Works on all asset classes: US Stocks - Compares to sector ETFs (XLK, XLF, XLV, etc.) Crypto - Compares to Total Crypto Market Cap Forex - Compares to currency indices (DXY, EXY, etc.) Commodities - Compares to Gold (GLD) Indices - Compares to broader market benchmarks 3. FLEXIBLE DISPLAY 9 table positions (top/middle/bottom, left/center/right) 4 size options (tiny, small, normal, large) Show/hide table completely Real-time indicator toggle 4. TIMEFRAME FLEXIBILITY Choose your analysis timeframe: Chart Timeframe (default) - Uses whatever timeframe your chart is on Fixed: 1 Hour, 4 Hours, Daily, Weekly - Forces calculations to specific timeframe This means you can be on a 5-minute chart but analyze RS on Daily timeframe if you prefer. 5. RS SCORE FILTERING Set a minimum RS Score threshold to only see strong stocks: Set to 0 - Shows all stocks Set to 70 - Only displays stocks with RS Score 70+ (strong stocks only) Warning message displays if stock doesn't meet threshold Perfect for screening - quickly scan multiple charts and the indicator only shows tables for stocks that pass your quality filter. 6. CUSTOM LEADER COMPARISON Override automatic leader detection: Compare to any ticker you choose Benchmark against specific competitors Use your own reference stocks 7. COMPREHENSIVE TOOLTIPS Every input parameter and every table row has detailed tooltips explaining: What the metric measures How to interpret the values What thresholds indicate strength/weakness Why it matters for trading Hover over any element to learn - it's like having a trading coach built in. 8. SMART ALERTS Built-in alert system for key events: Divergence Alerts: Get notified when your stock diverges significantly from its sector. Bullish Divergence: Stock beating sector by threshold percentage Bearish Divergence: Stock losing to sector by threshold percentage Set your threshold (default 5%) - this determines how big a divergence triggers the alert. RS Score Alerts: Get notified when RS Score crosses your threshold: Crossed Above: RS Score went from below to above your threshold (bullish) Crossed Below: RS Score dropped from above to below threshold (bearish) Set your threshold (default 70) to focus on strong stocks. Sector Rotation Alert: Fires when sector shows bullish rotation (outperforming market). HOW TO USE THE INDICATOR FOR SWING TRADERS: 1. Add indicator to your watchlist stocks 2. Look for RS Score 70+ with Consistency 75%+ 3. Check if sector rotation is bullish (bonus!) 4. Verify price is near 52W high (95%+) 5. Wait for entry setup on your chart 6. Use stop loss below key support Example Setup: Stock shows: - RS Score: 82 (Grade: A-) - Consistency: 100% (strong across all periods) - Sector Rotation: Bullish - Price vs 52W High: 96% - Days Above Sector: 12 days - Relative Volume: 1.8x This is a textbook strong stock in a hot sector near highs - ideal for swing long. FOR POSITION TRADERS: 1. Focus on 6-month and 1-year RS values 2. Look for sustained outperformance (Consistency 75%+) 3. Prefer lower Beta stocks (less volatility) 4. Check Days Above Sector for trend persistence 5. Monitor RS Score monthly, exit if drops below 60 FOR ACTIVE TRADERS: 1. Use on intraday timeframes (1H or 4H) 2. Set RS Score filter to 60+ for quick screening 3. Enable Divergence Alerts 4. Watch for momentum improving signal 5. Higher Beta stocks offer more movement FOR SHORT SELLERS: 1. Look for RS Score below 40 (Grade: D or F) 2. Check for declining momentum 3. Verify Days Below Sector is increasing (10+) 4. Sector rotation should be bearish 5. Price should be well off 52W high WHAT MAKES A PERFECT SETUP: The holy grail combination: RS Score: 75+ (A- or better) Consistency: 80%+ (strong across time - beats sector AND industry) Sector Rotation: Bullish (hot sector) Industry vs Sector: Positive (hot industry within sector) Days Above Sector: 10+ (sustained strength) Momentum: Improving (getting stronger) Price vs 52W High: 90%+ (near highs) Relative Volume: 1.5x+ (volume confirmation) When you find this combination, you've located a stock with every advantage in its favor - strong at the stock level, industry level, AND sector level. That's multi-level confirmation of relative strength. IMPORTANT NOTES Data Reliability: All calculations use lookahead=off for anti-repaint protection Historical values will never change Real-time indicator toggle only affects the visual clock icon, not data reliability All security requests are properly configured to prevent future data leakage Sector Mapping Notes: Sector detection uses TradingView's sector field Some stocks may not have sector data - indicator will adapt Sector ETFs used: XLK, XLF, XLV, XLE, XLY, XLP, XLI, XLB, XLRE, XLU, XLC Major market ETFs (SPY, QQQ, DIA) are treated as market benchmarks, not stocks Multi-Asset Notes: Crypto compares to CRYPTOCAP:TOTAL (total crypto market cap) Forex compares to relevant currency index based on base currency Commodities compare to Gold (GLD) as primary commodity benchmark Custom leaders can be set for any asset type FREQUENTLY ASKED QUESTIONS Q: What does RS Score of 75 actually mean? A: It means your stock is strongly outperforming its sector across multiple timeframes. The score is weighted toward recent performance (1-month gets 40% weight), so 75 indicates sustained relative strength with emphasis on current momentum. Q: My stock has high RS Score but is going down. Why? A: RS Score measures relative performance (vs sector/market), not absolute price direction. A stock can fall 5% while its sector falls 10% - that's still positive relative strength. In bear markets or sector corrections, high RS stocks often fall less than peers. Q: Should I only trade stocks with RS Score above 70? A: For long positions, yes - focus on 70+ scores. These stocks have proven they can beat their sector. However, for pairs trading or relative value plays, you might also short stocks with scores below 40 while longing stocks above 70. Q: What if my stock doesn't have a sector? A: The indicator handles this gracefully. If no sector is detected, it will compare directly to the market (SPY for stocks). Some rows may show N/A, but the indicator will still provide useful market-relative data. Q: Why does the sector sometimes show N/A? A: This happens when: 1) Your asset has no sector classification, 2) The stock IS the sector ETF itself, 3) You're analyzing a non-stock asset (crypto, forex, commodity). The indicator adapts by focusing on market-relative metrics instead. Q: Can I use this on cryptocurrencies? A: Yes! The indicator automatically detects crypto and compares to the Total Crypto Market Cap (CRYPTOCAP:TOTAL). You can also set a custom leader like Bitcoin (BTCUSD) to compare against the dominant crypto. Q: What's the difference between RS Score and Consistency? A: RS Score is the weighted average of how much you're beating the sector (magnitude). Consistency is what percentage of time periods show outperformance (reliability). You want both high - that means strong AND consistent. Q: Do the alerts repaint? A: No. All alerts fire only on bar close (barstate.isconfirmed) and use properly configured data with lookahead=off. Once an alert fires, it's final and won't change. Q: What timeframe should I use? A: For swing trading: Daily or Weekly. For day trading: 1H or 4H. For position trading: Weekly. Use "Chart Timeframe" mode and switch your chart timeframe to change the analysis period easily. Q: Why is Days Above Sector showing 0? A: This means your stock is not currently outperforming its sector. If Days Below Sector is also 0, it means the RS is exactly neutral (very rare). Check the actual RS values to see current standing. Q: Can I compare to a different market benchmark than SPY? A: Currently the indicator uses SPY (S&P 500) as the default US stock market benchmark. For crypto it uses CRYPTOCAP:TOTAL, for forex it uses currency indices, etc. The benchmark auto-adjusts based on asset type. Q: What's a good Beta value? A: It depends on your strategy. Aggressive traders prefer Beta above 1.2 (more volatility = bigger moves). Conservative traders prefer Beta 0.8-1.0 (more stable). Beta is neutral - it's about matching your risk tolerance. Q: How often does the table update? A: With Real-time Indicator enabled: Every tick (constant updates). With it disabled: Only on bar close. Either way, the underlying data is identical and non-repainting - the toggle only affects update frequency and the clock icon display. Q: My stock is showing "AVOID" but it's up 50% this year. Is the indicator wrong? A: Not necessarily. The indicator measures RELATIVE performance. If your stock is up 50% but the sector is up 100%, your stock is actually underperforming by 50%. The indicator helps you identify when you should switch to stronger stocks in the same sector. Q: What does "Strong Buy Setup" really mean? A: It means three things aligned: 1) RS Score above 70 (strong stock), 2) Consistency above 75% (reliable strength), 3) Sector rotation is bullish (hot sector). This combination historically correlates with stocks that continue outperforming. However, this is NOT financial advice - always do your own analysis. Q: Can I use this for options trading? A: Yes! High RS Score stocks make good candidates for call options (bullish bets) while low RS Score stocks may work for puts (bearish bets). Higher Beta stocks will have more volatile options (higher premiums but more movement). Q: Why is my crypto showing N/A for sector? A: Cryptocurrencies don't have "sectors" like stocks do. Instead, the indicator compares crypto to the total crypto market cap. This is normal and expected behavior. Q: What happens if I'm analyzing an ETF? A: If you're analyzing a sector ETF (like XLK), it will compare to SPY (market). If you're analyzing SPY itself, some comparisons won't be available (can't compare SPY to itself). The indicator intelligently adapts to avoid circular comparisons. Q: What if my stock doesn't have industry data? A: Not all stocks are mapped to specific industries (only 30+ major industries are covered). If no industry is detected, the indicator will still work using only sector analysis. The RS Score calculation will use 100% sector weight instead of the 60%/40% split. Q: Why does Industry vs Sector matter? A: Industry vs Sector shows if your specific industry is hot or cold within its broader sector. For example, Semiconductors (SMH) might be outperforming Technology sector (XLK) even though both are up. This helps you find not just strong sectors, but the strongest industries within those sectors. Q: Can I disable Industry analysis? A: Yes! In the "Industry Analysis" settings group, you can toggle off "Show Industry Analysis in Table" to hide all industry rows. However, even when hidden, industry data still contributes to the RS Score calculation for stocks. Q: Why is my Consistency Score lower for stocks than other assets? A: For stocks with industry data, Consistency counts 8 periods (4 Sector + 4 Industry periods) instead of just 4. This means the bar is higher - your stock needs to beat both sector AND industry consistently. A stock that beats sector in all 4 periods but lags industry in 2 periods will show 75% consistency (6/8), not 100%. BEST PRACTICES Use as a screening tool - Set RS Score filter to 70+ and quickly scan your watchlist. Only strong stocks will show the table. Combine with technical analysis - RS Score tells you WHAT to trade, your chart tells you WHEN to enter. Check multiple timeframes - Switch between Daily and Weekly to see if strength holds across different time horizons. Monitor sector rotation - When sector goes from bearish to bullish rotation, it's often a great time to enter stocks in that sector. Watch Industry vs Sector - Stocks in hot industries within hot sectors have double tailwinds. Prioritize Industry vs Sector positive values. Pay attention to consistency - High RS Score with low consistency might be a spike that fades. Look for 70%+ consistency across BOTH sector and industry. Use the leader comparison - If your stock consistently beats both sector leader AND industry leader, you may have found the next champion. Watch days above/below sector - Long streaks (15+ days) indicate strong trends. Look for these in conjunction with high RS Score. Set alerts on key stocks - Enable RS Score alerts at 70 threshold to get notified when watchlist stocks become strong. Consider Beta for position sizing - Size smaller positions in high Beta stocks, larger in low Beta stocks for balanced risk. Exit when RS Score drops - If a stock's RS Score falls below 60, consider reducing or exiting - the strength may be fading. Leverage industry-level insight - If Industry ETF is weak but stock is strong, that's standout strength. If Industry is hot but stock is lagging, consider switching to the industry leader instead. SETTINGS EXPLAINED Display Settings: Show Performance Table - Master on/off switch for the table Table Position - 9 positions available (corners, edges, center) Table Size - 4 sizes (tiny, small, normal, large) for different screen sizes Timeframe Settings: Chart Timeframe (recommended) - Dynamic, uses whatever chart TF you're on Fixed Timeframes - Locks analysis to 1H, 4H, Daily, or Weekly regardless of chart Filtering Settings: Minimum RS Score - Set threshold (0-100) for displaying table Show Warning - When enabled, displays message if stock doesn't meet filter Alert Settings: Divergence Alerts - Enable alerts when stock diverges from sector Threshold (%) - How big a divergence triggers alert (default 5%) RS Score Alerts - Enable alerts when RS Score crosses threshold Threshold - What RS Score level triggers alert (default 70) Sector Analysis Settings: Use Custom Sector ETF - Override automatic sector ETF detection Sector ETF Symbol - Enter any sector ETF to compare against Use Custom Sector Leader - Override automatic sector leader detection Sector Leader Symbol - Enter any ticker as sector leader Industry Analysis Settings: Use Custom Industry ETF - Override automatic industry ETF detection Industry ETF Symbol - Enter specific industry ETF (e.g., IGV, SMH) Use Custom Industry Leader - Override automatic industry leader detection Industry Leader Symbol - Enter specific industry leader Show Industry Analysis - Toggle all industry rows on/off Display Settings: Show Real-time Indicator - Toggle clock icon in header (doesn't affect data) WHAT THIS INDICATOR DOESN'T DO To set proper expectations: Does NOT provide entry/exit signals - this is a strength analyzer, not a trading system Does NOT predict future price movement - shows current and historical relative strength Does NOT guarantee profits - strong RS stocks can still decline Does NOT replace your own analysis - use as one tool among many Does NOT work on stocks with no sector data - will adapt but some rows show N/A This indicator is a decision support tool . It helps you identify which stocks are showing relative strength so you can make more informed trading decisions. You still need your own entry strategy, risk management, and position sizing rules. SUPPORT & CONTACT Questions or feedback? Use the comments section below or send me a message. If you find this indicator useful, please give it a boost and share with other traders who might benefit from relative strength analysis. FINAL REMINDER This indicator is a tool for analyzing relative strength - it shows you which stocks are outperforming their sector and market. It does NOT provide financial advice or trade signals. Always conduct your own research, manage your risk appropriately, and consult with a financial advisor before making investment decisions. Past performance of relative strength does not guarantee future results. Strong stocks can become weak, and sectors rotate in and out of favor. Use this indicator as part of a comprehensive trading strategy, not as a standalone decision-making system. Trade smart, manage risk, and may your RS Scores stay high! If you got till here and you like my work a BOOST and a COMMENT would make me happy
Penunjuk Pine Script®
oleh orenluxy
2
Trend Speed Analyzer (Zeiierman)█ Overview The Trend Speed Analyzer by Zeiierman is designed to measure the strength and speed of market trends, providing traders with actionable insights into momentum dynamics. By combining a dynamic moving average with wave and speed analysis, it visually highlights shifts in trend direction, market strength, and potential reversals. This tool is ideal for identifying breakout opportunities, gauging trend consistency, and understanding the dominance of bullish or bearish forces over various timeframes. █ How It Works The indicator employs a Dynamic Moving Average (DMA) enhanced with an Accelerator Factor, allowing it to adapt dynamically to market conditions. The DMA is responsive to price changes, making it suitable for both long-term trends and short-term momentum analysis. Key components include: Trend Speed Analysis: Measures the speed of market movements, highlighting momentum shifts with visual cues. Wave Analysis: Tracks bullish and bearish wave sizes to determine market strength and bias. Normalized Speed Values: Ensures consistency across different market conditions by adjusting for volatility. ⚪ Average Wave and Max Wave These metrics analyze the size of bullish and bearish waves over a specified Lookback Period: Average Wave: This represents the mean size of bullish and bearish movements, helping traders gauge overall market strength. Max Wave: Highlights the largest movements within the period, identifying peak momentum during trend surges. ⚪ Current Wave Ratio This feature compares the current wave's size against historical data: Average Wave Ratio: Indicates if the current momentum exceeds historical averages. A value above 1 suggests the trend is gaining strength. Max Wave Ratio: Shows whether the current wave surpasses previous peak movements, signaling potential breakouts or trend accelerations. ⚪ Dominance Dominance metrics reveal whether bulls or bears have controlled the market during the Lookback Period: Average Dominance: Compares the net difference between average bullish and bearish wave sizes. Max Dominance: Highlights which side had the stronger individual waves, indicating key power shifts in market dynamics. Positive values suggest bullish dominance, while negative values point to bearish control. This helps traders confirm trend direction or anticipate reversals. █ How to Use Identify Trends: Leverage the color-coded candlesticks and dynamic trend line to assess the overall market direction with clarity. Monitor Momentum: Use the Trend Speed histogram to track changes in momentum, identifying periods of acceleration or deceleration. Analyze Waves: Compare the sizes of bullish and bearish waves to identify the prevailing market bias and detect potential shifts in sentiment. Additionally, fluctuations in Current Wave ratio values should be monitored as early indicators of possible trend reversals. Evaluate Dominance: Utilize dominance metrics to confirm the strength and direction of the current trend. █ Settings Maximum Length: Sets the smoothing of the trend line. Accelerator Multiplier: Adjusts sensitivity to price changes. Lookback Period: Defines the range for wave calculations. Enable Table: Displays statistical metrics for in-depth analysis. Enable Candles: Activates color-coded candlesticks. Collection Period: Normalizes trend speed values for better accuracy. Start Date: Limits calculations to a specific timeframe. Timer Option: Choose between using all available data or starting from a custom date. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Penunjuk Pine Script®
oleh Zeiierman
38
SuperATR 7-Step Profit - Strategy [presentTrading] Long time no see! █ Introduction and How It Is Different The SuperATR 7-Step Profit Strategy is a multi-layered trading approach that integrates adaptive Average True Range (ATR) calculations with momentum-based trend detection. What sets this strategy apart is its sophisticated 7-step take-profit mechanism, which combines four ATR-based exit levels and three fixed percentage levels. This hybrid approach allows traders to dynamically adjust to market volatility while systematically capturing profits in both long and short market positions. Traditional trading strategies often rely on static indicators or single-layered exit strategies, which may not adapt well to changing market conditions. The SuperATR 7-Step Profit Strategy addresses this limitation by: - Using Adaptive ATR: Enhances the standard ATR by making it responsive to current market momentum. - Incorporating Momentum-Based Trend Detection: Identifies stronger trends with higher probability of continuation. - Employing a Multi-Step Take-Profit System: Allows for gradual profit-taking at predetermined levels, optimizing returns while minimizing risk. BTCUSD 6hr Performance █ Strategy, How It Works: Detailed Explanation The strategy revolves around detecting strong market trends and capitalizing on them using an adaptive ATR and momentum indicators. Below is a detailed breakdown of each component of the strategy. 🔶 1. True Range Calculation with Enhanced Volatility Detection The True Range (TR) measures market volatility by considering the most significant price movements. The enhanced TR is calculated as: TR = Max Where: High and Low are the current bar's high and low prices. Previous Close is the closing price of the previous bar. Abs denotes the absolute value. Max selects the maximum value among the three calculations. 🔶 2. Momentum Factor Calculation To make the ATR adaptive, the strategy incorporates a Momentum Factor (MF), which adjusts the ATR based on recent price movements. Momentum = Close - Close Stdev_Close = Standard Deviation of Close over n periods Normalized_Momentum = Momentum / Stdev_Close (if Stdev_Close ≠ 0) Momentum_Factor = Abs(Normalized_Momentum) Where: Close is the current closing price. n is the momentum_period, a user-defined input (default is 7). Standard Deviation measures the dispersion of closing prices over n periods. Abs ensures the momentum factor is always positive. 🔶 3. Adaptive ATR Calculation The Adaptive ATR (AATR) adjusts the traditional ATR based on the Momentum Factor, making it more responsive during volatile periods and smoother during consolidation. Short_ATR = SMA(True Range, short_period) Long_ATR = SMA(True Range, long_period) Adaptive_ATR = / Where: SMA is the Simple Moving Average. short_period and long_period are user-defined inputs (defaults are 3 and 7, respectively). 🔶 4. Trend Strength Calculation The strategy quantifies the strength of the trend to filter out weak signals. Price_Change = Close - Close ATR_Multiple = Price_Change / Adaptive_ATR (if Adaptive_ATR ≠ 0) Trend_Strength = SMA(ATR_Multiple, n) 🔶 5. Trend Signal Determination If (Short_MA > Long_MA) AND (Trend_Strength > Trend_Strength_Threshold): Trend_Signal = 1 (Strong Uptrend) Elif (Short_MA < Long_MA) AND (Trend_Strength < -Trend_Strength_Threshold): Trend_Signal = -1 (Strong Downtrend) Else: Trend_Signal = 0 (No Clear Trend) 🔶 6. Trend Confirmation with Price Action Adaptive_ATR_SMA = SMA(Adaptive_ATR, atr_sma_period) If (Trend_Signal == 1) AND (Close > Short_MA) AND (Adaptive_ATR > Adaptive_ATR_SMA): Trend_Confirmed = True Elif (Trend_Signal == -1) AND (Close < Short_MA) AND (Adaptive_ATR > Adaptive_ATR_SMA): Trend_Confirmed = True Else: Trend_Confirmed = False Local Performance 🔶 7. Multi-Step Take-Profit Mechanism The strategy employs a 7-step take-profit system █ Trade Direction The SuperATR 7-Step Profit Strategy is designed to work in both long and short market conditions. By identifying strong uptrends and downtrends, it allows traders to capitalize on price movements in either direction. Long Trades: Initiated when the market shows strong upward momentum and the trend is confirmed. Short Trades: Initiated when the market exhibits strong downward momentum and the trend is confirmed. █ Usage To implement the SuperATR 7-Step Profit Strategy: 1. Configure the Strategy Parameters: - Adjust the short_period, long_period, and momentum_period to match the desired sensitivity. - Set the trend_strength_threshold to control how strong a trend must be before acting. 2. Set Up the Multi-Step Take-Profit Levels: - Define ATR multipliers and fixed percentage levels according to risk tolerance and profit goals. - Specify the percentage of the position to close at each level. 3. Apply the Strategy to a Chart: - Use the strategy on instruments and timeframes where it has been tested and optimized. - Monitor the positions and adjust parameters as needed based on performance. 4. Backtest and Optimize: - Utilize TradingView's backtesting features to evaluate historical performance. - Adjust the default settings to optimize for different market conditions. █ Default Settings Understanding default settings is crucial for optimal performance. Short Period (3): Affects the responsiveness of the short-term MA. Effect: Lower values increase sensitivity but may produce more false signals. Long Period (7): Determines the trend baseline. Effect: Higher values reduce noise but may delay signals. Momentum Period (7): Influences adaptive ATR and trend strength. Effect: Shorter periods react quicker to price changes. Trend Strength Threshold (0.5): Filters out weaker trends. Effect: Higher thresholds yield fewer but stronger signals. ATR Multipliers: Set distances for ATR-based exits. Effect: Larger multipliers aim for bigger moves but may reduce hit rate. Fixed TP Levels (%): Control profit-taking on smaller moves. Effect: Adjusting these levels affects how quickly profits are realized. Exit Percentages: Determine how much of the position is closed at each TP level. Effect: Higher percentages reduce exposure faster, affecting risk and reward. Adjusting these variables allows you to tailor the strategy to different market conditions and personal risk preferences. By integrating adaptive indicators and a multi-tiered exit strategy, the SuperATR 7-Step Profit Strategy offers a versatile tool for traders seeking to navigate varying market conditions effectively. Understanding and adjusting the key parameters enables traders to harness the full potential of this strategy.
Strategi Pine Script®
oleh PresentTrading
7
Luxy Super-Duper SuperTrend Predictor Engine and Buy/Sell signalA professional trend-following grading system that analyzes historical trend patterns to provide statistical duration estimates using advanced similarity matching and k-nearest neighbors analysis. Combines adaptive Supertrend with intelligent duration statistics, multi-timeframe confluence, volume confirmation, and quality scoring to identify high-probability setups with data-driven target ranges across all timeframes. Note: All duration estimates are statistical calculations based on historical data, not guarantees of future performance. WHAT MAKES THIS DIFFERENT Unlike traditional SuperTrend indicators that only tell you trend direction, this system answers the critical question: "What is the typical duration for trends like this?" The Statistical Analysis Engine: • Analyzes your chart's last 15+ completed SuperTrend trends (bullish and bearish separately) • Uses k-nearest neighbors similarity matching to find historically similar setups • Calculates statistical duration estimates based on current market conditions • Learns from estimation errors and adapts over time (Advanced mode) • Displays visual duration analysis box showing median, average, and range estimates • Tracks Statistical accuracy with backtest statistics Complete Trading System: • Statistical trend duration analysis with three intelligence levels • Adaptive Supertrend with dynamic ATR-based bands • Multi-timeframe confluence analysis (6 timeframes: 5M to 1W) • Volume confirmation with spike detection and momentum tracking • Quality scoring system (0-70 points) rating each setup • One-click preset optimization for all trading styles • Anti-repaint guarantee on all signals and duration estimates METHODOLOGY CREDITS This indicator's approach is inspired by proven trading methodologies from respected market educators: • Mark Minervini - Volatility Contraction Pattern (VCP) and pullback entry techniques • William O'Neil - Volume confirmation principles and institutional buying patterns (CANSLIM methodology) • Dan Zanger - Volatility expansion entries and momentum breakout strategies Important: These are educational references only. This indicator does not guarantee any specific trading results. Always conduct your own analysis and risk management. KEY FEATURES 1. TREND DURATION ANALYSIS SYSTEM - The Core Innovation The statistical analysis engine is what sets this indicator apart from standard SuperTrend systems. It doesn't just identify trend changes - it provides statistical analysis of potential duration. How It Works: Step 1: Historical Tracking • Automatically records every completed SuperTrend trend (duration in bars) • Maintains separate databases for bullish trends and bearish trends • Stores up to 15 most recent trends of each type • Captures market conditions at each trend flip: volume ratio, ATR ratio, quality score, price distance from SuperTrend, proximity to support/resistance Step 2: Similarity Matching (k-Nearest Neighbors) • When new trend begins, system compares current conditions to ALL historical flips • Calculates similarity score based on: - Volume similarity (30% weight) - Is volume behaving similarly? - Volatility similarity (30% weight) - Is ATR/volatility similar? - Quality similarity (20% weight) - Is setup strength comparable? - Distance similarity (10% weight) - Is price distance from ST similar? - Support/Resistance proximity (10% weight) - Similar structural context? • Selects the 15 MOST SIMILAR historical trends (not just all trends) • This is like asking: "When conditions looked like this before, how long did trends last?" Step 3: Statistical Analysis • Calculates median duration (most common outcome) • Calculates average duration (mean of similar trends) • Determines realistic range (min to max of similar trends) • Applies exponential weighting (recent trends weighted more heavily) • Outputs confidence-weighted statistical estimate Step 4: Advanced Intelligence (Advanced Mode Only) The Advanced mode applies five sophisticated multipliers to refine estimates: A) Market Structure Multiplier (±30%): • Detects nearby support/resistance levels using pivot detection • If flip occurs NEAR a key level: Estimate adjusted -30% (expect bounce/rejection) • If flip occurs in open space: Estimate adjusted +30% (clear path for continuation) • Uses configurable lookback period and ATR-based proximity threshold B) Asset Type Multiplier (±40%): • Adjusts duration estimates based on asset volatility characteristics • Small Cap / Biotech: +40% (explosive, extended moves) • Tech Growth: +20% (momentum-driven, longer trends) • Blue Chip / Large Cap: 0% (baseline, steady trends) • Dividend / Value: -20% (slower, grinding trends) • Cyclical: Variable based on macro regime • Crypto / High Volatility: +30% (parabolic potential) C) Flip Strength Multiplier (±20%): • Analyzes the QUALITY of the trend flip itself • Strong flip (high volume + expanding ATR + quality score 60+): +20% • Weak flip (low volume + contracting ATR + quality score under 40): -20% • Logic: Historical data shows that powerful flips tend to be followed by longer trends D) Error Learning Multiplier (±15%): • Tracks Statistical accuracy over last 10 completed trends • Calculates error ratio: (estimated duration / Actual Duration) • If system consistently over-estimates: Apply -15% correction • If system consistently under-estimates: Apply +15% correction • Learns and adapts to current market regime E) Regime Detection Multiplier (±20%): • Analyzes last 3 trends of SAME TYPE (bull-to-bull or bear-to-bear) • Compares recent trend durations to historical average • If recent trends 20%+ longer than average: +20% adjustment (trending regime detected) • If recent trends 20%+ shorter than average: -20% adjustment (choppy regime detected) • Detects whether market is in trending or mean-reversion mode Three analysis modes: SIMPLE MODE - Basic Statistics • Uses raw median of similar trends only • No multipliers, no adjustments • Best for: Beginners, clean trending markets • Fastest calculations, minimal complexity STANDARD MODE - Full Statistical Analysis • Similarity matching with k-nearest neighbors • Exponential weighting of recent trends • Median, average, and range calculations • Best for: Most traders, general market conditions • Balance of accuracy and simplicity ADVANCED MODE - Statistics + Intelligence • Everything in Standard mode PLUS • All 5 advanced multipliers (structure, asset type, flip strength, learning, regime) • Highest Statistical accuracy in testing • Best for: Experienced traders, volatile/complex markets • Maximum intelligence, most adaptive Visual Duration Analysis Box: When a new trend begins (SuperTrend flip), a box appears on your chart showing: • Analysis Mode (Simple / Standard / Advanced) • Number of historical trends analyzed • Median expected duration (most likely outcome) • Average expected duration (mean of similar trends) • Range (minimum to maximum from similar trends) • Advanced multipliers breakdown (Advanced mode only) • Backtest accuracy statistics (if available) The box extends from the flip bar to the estimated endpoint based on historical data, giving you a visual target for trend duration. Box updates in real-time as trend progresses. Backtest & Accuracy Tracking: • System backtests its own duration estimates using historical data • Shows accuracy metrics: how well duration estimates matched actual durations • Tracks last 10 completed duration estimates separately • Displays statistics in dashboard and duration analysis boxes • Helps you understand statistical reliability on your specific symbol/timeframe Anti-Repaint Guarantee: • duration analysis boxes only appear AFTER bar close (barstate.isconfirmed) • Historical duration estimates never disappear or change • What you see in history is exactly what you would have seen real-time • No future data leakage, no lookahead bias 2. INTELLIGENT PRESET CONFIGURATIONS - One-Click Optimization Unlike indicators that require tedious parameter tweaking, this system includes professionally optimized presets for every trading style. Select your approach from the dropdown and ALL parameters auto-configure. "AUTO (DETECT FROM TF)" - RECOMMENDED The smartest option: automatically selects optimal settings based on your chart timeframe. • 1m-5m charts → Scalping preset (ATR: 7, Mult: 2.0) • 15m-1h charts → Day Trading preset (ATR: 10, Mult: 2.5) • 2h-4h-D charts → Swing Trading preset (ATR: 14, Mult: 3.0) • W-M charts → Position Trading preset (ATR: 21, Mult: 4.0) Benefits: • Zero configuration - works immediately • Always matched to your timeframe • Switch timeframe = automatic adjustment • Perfect for traders who use multiple timeframes "SCALPING (1-5M)" - Ultra-Fast Signals Optimized for: 1-5 minute charts, high-frequency trading, quick profits Target holding period: Minutes to 1-2 hours maximum Best markets: High-volume stocks, major crypto pairs, active futures Parameter Configuration: • Supertrend: ATR 7, Multiplier 2.0 (very sensitive) • Volume: MA 10, High 1.8x, Spike 3.0x (catches quick surges) • Volume Momentum: AUTO-DISABLED (too restrictive for fast scalping) • Quality minimum: 40 points (accepts more setups) • Duration Analysis: Uses last 15 trends with heavy recent weighting Trading Logic: Speed over precision. Short ATR period and low multiplier create highly responsive SuperTrend. Volume momentum filter disabled to avoid missing fast moves. Quality threshold relaxed to catch more opportunities in rapid market conditions. Signals per session: 5-15 typically Hold time: Minutes to couple hours Best for: Active traders with fast execution "DAY TRADING (15M-1H)" - Balanced Approach Optimized for: 15-minute to 1-hour charts, intraday moves, session-based trading Target holding period: 30 minutes to 8 hours (within trading day) Best markets: Large-cap stocks, major indices, established crypto Parameter Configuration: • Supertrend: ATR 10, Multiplier 2.5 (balanced) • Volume: MA 20, High 1.5x, Spike 2.5x (standard detection) • Volume Momentum: 5/20 periods (confirms intraday strength) • Quality minimum: 50 points (good setups preferred) • Duration Analysis: Balanced weighting of recent vs historical Trading Logic: The most balanced configuration. ATR 10 with multiplier 2.5 provides steady trend following that avoids noise while catching meaningful moves. Volume momentum confirms institutional participation without being overly restrictive. Signals per session: 2-5 typically Hold time: 30 minutes to full day Best for: Part-time and full-time active traders "SWING TRADING (4H-D)" - Trend Stability Optimized for: 4-hour to Daily charts, multi-day holds, trend continuation Target holding period: 2-15 days typically Best markets: Growth stocks, sector ETFs, trending crypto, commodity futures Parameter Configuration: • Supertrend: ATR 14, Multiplier 3.0 (stable) • Volume: MA 30, High 1.3x, Spike 2.2x (accumulation focus) • Volume Momentum: 10/30 periods (trend stability) • Quality minimum: 60 points (high-quality setups only) • Duration Analysis: Favors consistent historical patterns Trading Logic: Designed for substantial trend moves while filtering short-term noise. Higher ATR period and multiplier create stable SuperTrend that won't flip on minor corrections. Stricter quality requirements ensure only strongest setups generate signals. Signals per week: 2-5 typically Hold time: Days to couple weeks Best for: Part-time traders, swing style "POSITION TRADING (D-W)" - Long-Term Trends Optimized for: Daily to Weekly charts, major trend changes, portfolio allocation Target holding period: Weeks to months Best markets: Blue-chip stocks, major indices, established cryptocurrencies Parameter Configuration: • Supertrend: ATR 21, Multiplier 4.0 (very stable) • Volume: MA 50, High 1.2x, Spike 2.0x (long-term accumulation) • Volume Momentum: 20/50 periods (major trend confirmation) • Quality minimum: 70 points (excellent setups only) • Duration Analysis: Heavy emphasis on multi-year historical data Trading Logic: Conservative approach focusing on major trend changes. Extended ATR period and high multiplier create SuperTrend that only flips on significant reversals. Very strict quality filters ensure signals represent genuine long-term opportunities. Signals per month: 1-2 typically Hold time: Weeks to months Best for: Long-term investors, set-and-forget approach "CUSTOM" - Advanced Configuration Purpose: Complete manual control for experienced traders Use when: You understand the parameters and want specific optimization Best for: Testing new approaches, unusual market conditions, specific instruments Full control over: • All SuperTrend parameters • Volume thresholds and momentum periods • Quality scoring weights • analysis mode and multipliers • Advanced features tuning Preset Comparison Quick Reference: Chart Timeframe: Scalping (1M-5M) | Day Trading (15M-1H) | Swing (4H-D) | Position (D-W) Signals Frequency: Very High | High | Medium | Low Hold Duration: Minutes | Hours | Days | Weeks-Months Quality Threshold: 40 pts | 50 pts | 60 pts | 70 pts ATR Sensitivity: Highest | Medium | Lower | Lowest Time Investment: Highest | High | Medium | Lowest Experience Level: Expert | Advanced | Intermediate | Beginner+ 3. QUALITY SCORING SYSTEM (0-70 Points) Every signal is rated in real-time across three dimensions: Volume Confirmation (0-30 points): • Volume Spike (2.5x+ average): 30 points • High Volume (1.5x+ average): 20 points • Above Average (1.0x+ average): 10 points • Below Average: 0 points Volatility Assessment (0-30 points): • Expanding ATR (1.2x+ average): 30 points • Rising ATR (1.0-1.2x average): 15 points • Contracting/Stable ATR: 0 points Volume Momentum (0-10 points): • Strong Momentum (1.2x+ ratio): 10 points • Rising Momentum (1.0-1.2x ratio): 5 points • Weak/Neutral Momentum: 0 points Score Interpretation: 60-70 points - EXCELLENT: • All factors aligned • High conviction setup • Maximum position size (within risk limits) • Primary trading opportunities 45-59 points - STRONG: • Multiple confirmations present • Above-average setup quality • Standard position size • Good trading opportunities 30-44 points - GOOD: • Basic confirmations met • Acceptable setup quality • Reduced position size • Wait for additional confirmation or trade smaller Below 30 points - WEAK: • Minimal confirmations • Low probability setup • Consider passing • Only for aggressive traders in strong trends Only signals meeting your minimum quality threshold (configurable per preset) generate alerts and labels. 4. MULTI-TIMEFRAME CONFLUENCE ANALYSIS The system can simultaneously analyze trend alignment across 6 timeframes (optional feature): Timeframes analyzed: • 5-minute (scalping context) • 15-minute (intraday momentum) • 1-hour (day trading bias) • 4-hour (swing context) • Daily (primary trend) • Weekly (macro trend) Confluence Interpretation: • 5-6/6 aligned - Very strong multi-timeframe agreement (highest confidence) • 3-4/6 aligned - Moderate agreement (standard setup) • 1-2/6 aligned - Weak agreement (caution advised) Dashboard shows real-time alignment count with color-coding. Higher confluence typically correlates with longer, stronger trends. 5. VOLUME MOMENTUM FILTER - Institutional Money Flow Unlike traditional volume indicators that just measure size, Volume Momentum tracks the RATE OF CHANGE in volume: How it works: • Compares short-term volume average (fast period) to long-term average (slow period) • Ratio above 1.0 = Volume accelerating (money flowing IN) • Ratio above 1.2 = Strong acceleration (institutional participation likely) • Ratio below 0.8 = Volume decelerating (money flowing OUT) Why it matters: • Confirms trend with actual money flow, not just price • Leading indicator (volume often leads price) • Catches accumulation/distribution before breakouts • More intuitive than complex mathematical filters Integration with signals: • Optional filter - can be enabled/disabled per preset • When enabled: Only signals with rising volume momentum fire • AUTO-DISABLED in Scalping mode (too restrictive for fast trading) • Configurable fast/slow periods per trading style 6. ADAPTIVE SUPERTREND MULTIPLIER Traditional SuperTrend uses fixed ATR multiplier. This system dynamically adjusts the multiplier (0.8x to 1.2x base) based on: • Trend Strength: Price correlation over lookback period • Volume Weight: Current volume relative to average Benefits: • Tighter bands in calm markets (less premature exits) • Wider bands in volatile conditions (avoids whipsaws) • Better adaptation to biotech, small-cap, and crypto volatility • Optional - can be disabled for classic constant multiplier 7. VISUAL GRADIENT RIBBON 26-layer exponential gradient fill between price and SuperTrend line provides instant visual trend strength assessment: Color System: • Green shades - Bullish trend + volume confirmation (strongest) • Blue shades - Bullish trend, normal volume • Orange shades - Bearish trend + volume confirmation • Red shades - Bearish trend (weakest) Opacity varies based on: • Distance from SuperTrend (farther = more opaque) • Volume intensity (higher volume = stronger color) The ribbon provides at-a-glance trend strength without cluttering your chart. Can be toggled on/off. 8. INTELLIGENT ALERT SYSTEM Two-tier alert architecture for flexibility: Automatic Alerts: • Fire automatically on BUY and SELL signals • Include full context: quality score, volume state, volume momentum • One alert per bar close (alert.freq_once_per_bar_close) • Message format: "BUY: Supertrend bullish + Quality: 65/70 | Volume: HIGH | Vol Momentum: STRONG (1.35x)" Customizable Alert Conditions: • Appear in TradingView's "Create Alert" dialog • Three options: BUY Signal Only, SELL Signal Only, ANY Signal (BUY or SELL) • Use TradingView placeholders: {{ticker}}, {{interval}}, {{close}}, {{time}} • Fully customizable message templates All alerts use barstate.isconfirmed - Zero repaint guarantee. 9. ANTI-REPAINT ARCHITECTURE Every component guaranteed non-repainting: • Entry signals: Only appear after bar close • duration analysis boxes: Created only on confirmed SuperTrend flips • Informative labels: Wait for bar confirmation • Alerts: Fire once per closed bar • Multi-timeframe data: Uses lookahead=barmerge.lookahead_off What you see in history is exactly what you would have seen in real-time. No disappearing signals, no changed duration estimates. HOW TO USE THE INDICATOR QUICK START - 3 Steps to Trading: Step 1: Select Your Trading Style Open indicator settings → "Quick Setup" section → Trading Style Preset dropdown Options: • Auto (Detect from TF) - RECOMMENDED: Automatically configures based on your chart timeframe • Scalping (1-5m) - For 1-5 minute charts, ultra-fast signals • Day Trading (15m-1h) - For 15m-1h charts, balanced approach • Swing Trading (4h-D) - For 4h-Daily charts, trend stability • Position Trading (D-W) - For Daily-Weekly charts, long-term trends • Custom - Manual configuration (advanced users only) Choose "Auto" and you're done - all parameters optimize automatically. Step 2: Understand the Signals BUY Signal (Green Triangle Below Price): • SuperTrend flipped bullish • Quality score meets minimum threshold (varies by preset) • Volume confirmation present (if filter enabled) • Volume momentum rising (if filter enabled) • duration analysis box shows expected trend duration SELL Signal (Red Triangle Above Price): • SuperTrend flipped bearish • Quality score meets minimum threshold • Volume confirmation present (if filter enabled) • Volume momentum rising (if filter enabled) • duration analysis box shows expected trend duration Duration Analysis Box: • Appears at SuperTrend flip (start of new trend) • Shows median, average, and range duration estimates • Extends to estimated endpoint based on historical data visually • Updates mode-specific intelligence (Simple/Standard/Advanced) Step 3: Use the Dashboard for Context Dashboard (top-right corner) shows real-time metrics: • Row 1 - Quality Score: Current setup rating (0-70) • Row 2 - SuperTrend: Direction and current level • Row 3 - Volume: Status (Spike/High/Normal/Low) with color • Row 4 - Volatility: State (Expanding/Rising/Stable/Contracting) • Row 5 - Volume Momentum: Ratio and trend • Row 6 - Duration Statistics: Accuracy metrics and track record Every cell has detailed tooltip - hover for full explanations. SIGNAL INTERPRETATION BY QUALITY SCORE: Excellent Setup (60-70 points): • Quality Score: 60-70 • Volume: Spike or High • Volatility: Expanding • Volume Momentum: Strong (1.2x+) • MTF Confluence (if enabled): 5-6/6 • Action: Primary trade - maximum position size (within risk limits) • Statistical reliability: Highest - duration estimates most accurate Strong Setup (45-59 points): • Quality Score: 45-59 • Volume: High or Above Average • Volatility: Rising • Volume Momentum: Rising (1.0-1.2x) • MTF Confluence (if enabled): 3-4/6 • Action: Standard trade - normal position size • Statistical reliability: Good - duration estimates reliable Good Setup (30-44 points): • Quality Score: 30-44 • Volume: Above Average • Volatility: Stable or Rising • Volume Momentum: Neutral to Rising • MTF Confluence (if enabled): 3-4/6 • Action: Cautious trade - reduced position size, wait for additional confirmation • Statistical reliability: Moderate - duration estimates less certain Weak Setup (Below 30 points): • Quality Score: Below 30 • Volume: Low or Normal • Volatility: Contracting or Stable • Volume Momentum: Weak • MTF Confluence (if enabled): 1-2/6 • Action: Pass or wait for improvement • Statistical reliability: Low - duration estimates unreliable USING duration analysis boxES FOR TRADE MANAGEMENT: Entry Timing: • Enter on SuperTrend flip (signal bar close) • duration analysis box appears simultaneously • Note the median duration - this is your expected hold time Profit Targets: • Conservative: Use MEDIAN duration as profit target (50% probability) • Moderate: Use AVERAGE duration (mean of similar trends) • Aggressive: Aim for MAX duration from range (best historical outcome) Position Management: • Scale out at median duration (take partial profits) • Trail stop as trend extends beyond median • Full exit at average duration or SuperTrend flip (whichever comes first) • Re-evaluate if trend exceeds estimated range analysis mode Selection: • Simple: Clean trending markets, beginners, minimal complexity • Standard: Most markets, most traders (recommended default) • Advanced: Volatile markets, complex instruments, experienced traders seeking highest accuracy Asset Type Configuration (Advanced Mode): If using Advanced analysis mode, configure Asset Type for optimal accuracy: • Small Cap: Stocks under $2B market cap, low liquidity • Biotech / Speculative: Clinical-stage pharma, penny stocks, high-risk • Blue Chip / Large Cap: S&P 500, mega-cap tech, stable large companies • Tech Growth: High-growth tech (TSLA, NVDA, growth SaaS) • Dividend / Value: Dividend aristocrats, value stocks, utilities • Cyclical: Energy, materials, industrials (macro-driven) • Crypto / High Volatility: Bitcoin, altcoins, highly volatile assets Correct asset type selection improves Statistical accuracy by 15-20%. RISK MANAGEMENT GUIDELINES: 1. Stop Loss Placement: Long positions: • Place stop below recent swing low OR • Place stop below SuperTrend level (whichever is tighter) • Use 1-2 ATR distance as guideline • Recommended: SuperTrend level (built-in volatility adjustment) Short positions: • Place stop above recent swing high OR • Place stop above SuperTrend level (whichever is tighter) • Use 1-2 ATR distance as guideline • Recommended: SuperTrend level 2. Position Sizing by Quality Score: • Excellent (60-70): Maximum position size (2% risk per trade) • Strong (45-59): Standard position size (1.5% risk per trade) • Good (30-44): Reduced position size (1% risk per trade) • Weak (Below 30): Pass or micro position (0.5% risk - learning trades only) 3. Exit Strategy Options: Option A - Statistical Duration-Based Exit: • Exit at median estimated duration (conservative) • Exit at average estimated duration (moderate) • Trail stop beyond average duration (aggressive) Option B - Signal-Based Exit: • Exit on opposite signal (SELL after BUY, or vice versa) • Exit on SuperTrend flip (trend reversal) • Exit if quality score drops below 30 mid-trend Option C - Hybrid (Recommended): • Take 50% profit at median estimated duration • Trail stop on remaining 50% using SuperTrend as trailing level • Full exit on SuperTrend flip or quality collapse 4. Trade Filtering: For higher win-rate (fewer trades, better quality): • Increase minimum quality score (try 60 for swing, 50 for day trading) • Enable volume momentum filter (ensure institutional participation) • Require higher MTF confluence (5-6/6 alignment) • Use Advanced analysis mode with appropriate asset type For more opportunities (more trades, lower quality threshold): • Decrease minimum quality score (40 for day trading, 35 for scalping) • Disable volume momentum filter • Lower MTF confluence requirement • Use Simple or Standard analysis mode SETTINGS OVERVIEW Quick Setup Section: • Trading Style Preset: Auto / Scalping / Day Trading / Swing / Position / Custom Dashboard & Display: • Show Dashboard (ON/OFF) • Dashboard Position (9 options: Top/Middle/Bottom + Left/Center/Right) • Text Size (Auto/Tiny/Small/Normal/Large/Huge) • Show Ribbon Fill (ON/OFF) • Show SuperTrend Line (ON/OFF) • Bullish Color (default: Green) • Bearish Color (default: Red) • Show Entry Labels - BUY/SELL signals (ON/OFF) • Show Info Labels - Volume events (ON/OFF) • Label Size (Auto/Tiny/Small/Normal/Large/Huge) Supertrend Configuration: • ATR Length (default varies by preset: 7-21) • ATR Multiplier Base (default varies by preset: 2.0-4.0) • Use Adaptive Multiplier (ON/OFF) - Dynamic 0.8x-1.2x adjustment • Smoothing Factor (0.0-0.5) - EMA smoothing applied to bands • Neutral Bars After Flip (0-10) - Hide ST immediately after flip Volume Momentum: • Enable Volume Momentum Filter (ON/OFF) • Fast Period (default varies by preset: 3-20) • Slow Period (default varies by preset: 10-50) Volume Analysis: • Volume MA Length (default varies by preset: 10-50) • High Volume Threshold (default: 1.5x) • Spike Threshold (default: 2.5x) • Low Volume Threshold (default: 0.7x) Quality Filters: • Minimum Quality Score (0-70, varies by preset) • Require Volume Confirmation (ON/OFF) Trend Duration Analysis: • Show Duration Analysis (ON/OFF) - Display duration analysis boxes • analysis mode - Simple / Standard / Advanced • Asset Type - 7 options (Small Cap, Biotech, Blue Chip, Tech Growth, Dividend, Cyclical, Crypto) • Use Exponential Weighting (ON/OFF) - Recent trends weighted more • Decay Factor (0.5-0.99) - How much more recent trends matter • Structure Lookback (3-30) - Pivot detection period for support/resistance • Proximity Threshold (xATR) - How close to level qualifies as "near" • Enable Error Learning (ON/OFF) - System learns from estimation errors • Memory Depth (3-20) - How many past errors to remember Box Visual Settings: • duration analysis box Border Color • duration analysis box Background Color • duration analysis box Text Color • duration analysis box Border Width • duration analysis box Transparency Multi-Timeframe (Optional Feature): • Enable MTF Confluence (ON/OFF) • Minimum Alignment Required (0-6) • Individual timeframe enable/disable toggles • Custom timeframe selection options All preset configurations override manual inputs except when "Custom" is selected. ADVANCED FEATURES 1. Scalpel Mode (Optional) Advanced pullback entry system that waits for healthy retracements within established trends before signaling entry: • Monitors price distance from SuperTrend levels • Requires pullback to configurable range (default: 30-50%) • Ensures trend remains intact before entry signal • Reduces whipsaw and false breakouts • Inspired by Mark Minervini's VCP pullback entries Best for: Swing traders and day traders seeking precision entries Scalpers: Consider disabling for faster entries 2. Error Learning System (Advanced analysis mode Only) The system learns from its own estimation errors: • Tracks last 10-20 completed duration estimates (configurable memory depth) • Calculates error ratio for each: estimated duration / Actual Duration • If system consistently over-estimates: Applies negative correction (-15%) • If system consistently under-estimates: Applies positive correction (+15%) • Adapts to current market regime automatically This self-correction mechanism improves accuracy over time as the system gathers more data on your specific symbol and timeframe. 3. Regime Detection (Advanced analysis mode Only) Automatically detects whether market is in trending or choppy regime: • Compares last 3 trends to historical average • Recent trends 20%+ longer → Trending regime (+20% to estimates) • Recent trends 20%+ shorter → Choppy regime (-20% to estimates) • Applied separately to bullish and bearish trends Helps duration estimates adapt to changing market conditions without manual intervention. 4. Exponential Weighting Option to weight recent trends more heavily than distant history: • Default decay factor: 0.9 • Recent trends get higher weight in statistical calculations • Older trends gradually decay in importance • Rationale: Recent market behavior more relevant than old data • Can be disabled for equal weighting 5. Backtest Statistics System backtests its own duration estimates using historical data: • Walks through past trends chronologically • Calculates what duration estimate WOULD have been at each flip • Compares to actual duration that occurred • Displays accuracy metrics in duration analysis boxes and dashboard • Helps assess statistical reliability on your specific chart Note: Backtest uses only data available AT THE TIME of each historical flip (no lookahead bias). TECHNICAL SPECIFICATIONS • Pine Script Version: v6 • Indicator Type: Overlay (draws on price chart) • Max Boxes: 500 (for duration analysis box storage) • Max Bars Back: 5000 (for comprehensive historical analysis) • Security Calls: 1 (for MTF if enabled - optimized) • Repainting: NO - All signals and duration estimates confirmed on bar close • Lookahead Bias: NO - All HTF data properly offset, all duration estimates use only historical data • Real-time Updates: YES - Dashboard and quality scores update live • Alert Capable: YES - Both automatic alerts and customizable alert conditions • Multi-Symbol: Works on stocks, crypto, forex, futures, indices Performance Optimization: • Conditional calculations (duration analysis can be disabled to reduce load) • Efficient array management (circular buffers for trend storage) • Streamlined gradient rendering (26 layers, can be toggled off) • Smart label cooldown system (prevents label spam) • Optimized similarity matching (analyzes only relevant trends) Data Requirements: • Minimum 50-100 bars for initial duration analysis (builds historical database) • Optimal: 500+ bars for robust statistical analysis • Longer history = more accurate duration estimates • Works on any timeframe from 1 minute to monthly KNOWN LIMITATIONS • Trending Markets Only: Performs best in clear trends. May generate false signals in choppy/sideways markets (use quality score filtering and regime detection to mitigate) • Lagging Nature: Like all trend-following systems, signals occur AFTER trend establishment, not at exact tops/bottoms. Use duration analysis boxes to set realistic profit targets. • Initial Learning Period: Duration analysis system requires 10-15 completed trends to build reliable historical database. Early duration estimates less accurate (first few weeks on new symbol/timeframe). • Visual Load: 26-layer gradient ribbon may slow performance on older devices. Disable ribbon if experiencing lag. • Statistical accuracy Variables: Duration estimates are statistical estimates, not guarantees. Accuracy varies by: - Market regime (trending vs choppy) - Asset volatility characteristics - Quality of historical pattern matches - Timeframe traded (higher TF = more reliable) • Not Best Suitable For: - Ultra-short-term scalping (sub-1-minute charts) - Mean-reversion strategies (designed for trend-following) - Range-bound trading (requires trending conditions) - News-driven spikes (estimates based on technical patterns, not fundamentals) FREQUENTLY ASKED QUESTIONS Q: Does this indicator repaint? A: Absolutely not. All signals, duration analysis boxes, labels, and alerts use barstate.isconfirmed checks. They only appear after the bar closes. What you see in history is exactly what you would have seen in real-time. Zero repaint guarantee. Q: How accurate are the trend duration estimates? A: Accuracy varies by mode, market conditions, and historical data quality: • Simple mode: 60-70% accuracy (within ±20% of actual duration) • Standard mode: 70-80% accuracy (within ±20% of actual duration) • Advanced mode: 75-85% accuracy (within ±20% of actual duration) Best accuracy achieved on: • Higher timeframes (4H, Daily, Weekly) • Trending markets (not choppy/sideways) • Assets with consistent behavior (Blue Chip, Large Cap) • After 20+ historical trends analyzed (builds robust database) Remember: All duration estimates are statistical calculations based on historical patterns, not guarantees. Q: Which analysis mode should I use? A: • Simple: Beginners, clean trending markets, want minimal complexity • Standard: Most traders, general market conditions (RECOMMENDED DEFAULT) • Advanced: Experienced traders, volatile/complex markets (biotech, small-cap, crypto), seeking maximum accuracy Advanced mode requires correct Asset Type configuration for optimal results. Q: What's the difference between the trading style presets? A: Each preset optimizes ALL parameters for a specific trading approach: • Scalping: Ultra-sensitive (ATR 7, Mult 2.0), more signals, shorter holds • Day Trading: Balanced (ATR 10, Mult 2.5), moderate signals, intraday holds • Swing Trading: Stable (ATR 14, Mult 3.0), fewer signals, multi-day holds • Position Trading: Very stable (ATR 21, Mult 4.0), rare signals, week/month holds Auto mode automatically selects based on your chart timeframe. Q: Should I use Auto mode or manually select a preset? A: Auto mode is recommended for most traders. It automatically matches settings to your timeframe and re-optimizes if you switch charts. Only use manual preset selection if: • You want scalping settings on a 15m chart (overriding auto-detection) • You want swing settings on a 1h chart (more conservative than auto would give) • You're testing different approaches on same timeframe Q: Can I use this for scalping and day trading? A: Absolutely! The preset system is specifically designed for all trading styles: • Select "Scalping (1-5m)" for 1-5 minute charts • Select "Day Trading (15m-1h)" for 15m-1h charts • Or use "Auto" mode and it configures automatically Volume momentum filter is auto-disabled in Scalping mode for faster signals. Q: What is Volume Momentum and why does it matter? A: Volume Momentum compares short-term volume (fast MA) to long-term volume (slow MA). It answers: "Is money flowing into this asset faster now than historically?" Why it matters: • Volume often leads price (early warning system) • Confirms institutional participation (smart money) • No lag like price-based indicators • More intuitive than complex mathematical filters When the ratio is above 1.2, you have strong evidence that institutions are accumulating (bullish) or distributing (bearish). Q: How do I set up alerts? A: Two options: Option 1 - Automatic Alerts: 1. Right-click on chart → Add Alert 2. Condition: Select this indicator 3. Choose "Any alert() function call" 4. Configure notification method (app, email, webhook) 5. You'll receive detailed alerts on every BUY and SELL signal Option 2 - Customizable Alert Conditions: 1. Right-click on chart → Add Alert 2. Condition: Select this indicator 3. You'll see three options in dropdown: - "BUY Signal" (long signals only) - "SELL Signal" (short signals only) - "ANY Signal" (both BUY and SELL) 4. Choose desired option and customize message template 5. Uses TradingView placeholders: {{ticker}}, {{close}}, {{time}}, etc. All alerts fire only on confirmed bar close (no repaint). Q: What is Scalpel Mode and should I use it? A: Scalpel Mode waits for healthy pullbacks within established trends before signaling entry. It reduces whipsaws and improves entry timing. Recommended ON for: • Swing traders (want precision entries on pullbacks) • Day traders (willing to wait for better prices) • Risk-averse traders (prefer fewer but higher-quality entries) Recommended OFF for: • Scalpers (need immediate entries, can't wait for pullbacks) • Momentum traders (want to enter on breakout, not pullback) • Aggressive traders (prefer more opportunities over precision) Q: Why do some duration estimates show wider ranges than others? A: Range width reflects historical trend variability: • Narrow range: Similar historical trends had consistent durations (high confidence) • Wide range: Similar historical trends had varying durations (lower confidence) Wide ranges often occur: • Early in analysis (fewer historical trends to learn from) • In volatile/choppy markets (inconsistent trend behavior) • On lower timeframes (more noise, less consistency) The median and average still provide useful targets even when range is wide. Q: Can I customize the dashboard position and appearance? A: Yes! Dashboard settings include: • Position: 9 options (Top/Middle/Bottom + Left/Center/Right) • Text Size: Auto, Tiny, Small, Normal, Large, Huge • Show/Hide: Toggle entire dashboard on/off Choose position that doesn't overlap important price action on your specific chart. Q: Which timeframe should I trade on? A: Depends on your trading style and time availability: • 1-5 minute: Active scalping, requires constant monitoring • 15m-1h: Day trading, check few times per session • 4h-Daily: Swing trading, check once or twice daily • Daily-Weekly: Position trading, check weekly General principle: Higher timeframes produce: • Fewer signals (less frequent) • Higher quality setups (stronger confirmations) • More reliable duration estimates (better statistical data) • Less noise (clearer trends) Start with Daily chart if new to trading. Move to lower timeframes as you gain experience. Q: Does this work on all markets (stocks, crypto, forex)? A: Yes, it works on all markets with trending characteristics: Excellent for: • Stocks (especially growth and momentum names) • Crypto (BTC, ETH, major altcoins) • Futures (indices, commodities) • Forex majors (EUR/USD, GBP/USD, etc.) Best results on: • Trending markets (not range-bound) • Liquid instruments (tight spreads, good fills) • Volatile assets (clear trend development) Less effective on: • Range-bound/sideways markets • Ultra-low volatility instruments • Illiquid small-caps (use caution) Configure Asset Type (in Advanced analysis mode) to match your instrument for best accuracy. Q: How many signals should I expect per day/week? A: Highly variable based on: By Timeframe: • 1-5 minute: 5-15 signals per session • 15m-1h: 2-5 signals per day • 4h-Daily: 2-5 signals per week • Daily-Weekly: 1-2 signals per month By Market Volatility: • High volatility = more SuperTrend flips = more signals • Low volatility = fewer flips = fewer signals By Quality Filter: • Higher threshold (60-70) = fewer but better signals • Lower threshold (30-40) = more signals, lower quality By Volume Momentum Filter: • Enabled = Fewer signals (only volume-confirmed) • Disabled = More signals (all SuperTrend flips) Adjust quality threshold and filters to match your desired signal frequency. Q: What's the difference between entry labels and info labels? A: Entry Labels (BUY/SELL): • Your primary trading signals • Based on SuperTrend flip + all confirmations (quality, volume, momentum) • Include quality score and confirmation icons • These are actionable entry points Info Labels (Volume Spike): • Additional market context • Show volume events that may support or contradict trend • 8-bar cooldown to prevent spam • NOT necessarily entry points - contextual information only Control separately: Can show entry labels without info labels (recommended for clean charts). Q: Can I combine this with other indicators? A: Absolutely! This works well with: • RSI: For divergences and overbought/oversold conditions • Support/Resistance: Confluence with key levels • Fibonacci Retracements: Pullback targets in Scalpel Mode • Price Action Patterns: Flags, pennants, cup-and-handle • MACD: Additional momentum confirmation • Bollinger Bands: Volatility context This indicator provides trend direction and duration estimates - complement with other tools for entry refinement and additional confluence. Q: Why did I get a low-quality signal? Can I filter them out? A: Yes! Increase the Minimum Quality Score in settings. If you're seeing signals with quality below your preference: • Day Trading: Set minimum to 50 • Swing Trading: Set minimum to 60 • Position Trading: Set minimum to 70 Only signals meeting the threshold will appear. This reduces frequency but improves win-rate. Q: How do I interpret the MTF Confluence count? A: Shows how many of 6 timeframes agree with current trend: • 6/6 aligned: Perfect agreement (extremely rare, highest confidence) • 5/6 aligned: Very strong alignment (high confidence) • 4/6 aligned: Good alignment (standard quality setup) • 3/6 aligned: Moderate alignment (acceptable) • 2/6 aligned: Weak alignment (caution) • 1/6 aligned: Very weak (likely counter-trend) Higher confluence typically correlates with longer, stronger trends. However, MTF analysis is optional - you can disable it and rely solely on quality scoring. Q: Is this suitable for beginners? A: Yes, but requires foundational knowledge: You should understand: • Basic trend-following concepts (higher highs, higher lows) • Risk management principles (position sizing, stop losses) • How to read candlestick charts • What volume and volatility mean Beginner-friendly features: • Auto preset mode (zero configuration) • Quality scoring (tells you signal strength) • Dashboard tooltips (hover for explanations) • duration analysis boxes (visual profit targets) Recommended for beginners: 1. Start with "Auto" or "Swing Trading" preset on Daily chart 2. Use Standard Analysis Mode (not Advanced) 3. Set minimum quality to 60 (fewer but better signals) 4. Paper trade first for 2-4 weeks 5. Study methodology references (Minervini, O'Neil, Zanger) Q: What is the Asset Type setting and why does it matter? A: Asset Type (in Advanced analysis mode) adjusts duration estimates based on volatility characteristics: • Small Cap: Explosive moves, extended trends (+30-40%) • Biotech / Speculative: Parabolic potential, news-driven (+40%) • Blue Chip / Large Cap: Baseline, steady trends (0% adjustment) • Tech Growth: Momentum-driven, longer trends (+20%) • Dividend / Value: Slower, grinding trends (-20%) • Cyclical: Macro-driven, variable (±10%) • Crypto / High Volatility: Parabolic potential (+30%) Correct configuration improves Statistical accuracy by 15-20%. Using Blue Chip settings on a biotech stock may underestimate trend length (you'll exit too early). Q: Can I backtest this indicator? A: Yes! TradingView's Strategy Tester works with this indicator's signals. To backtest: 1. Note the entry conditions (SuperTrend flip + quality threshold + filters) 2. Create a strategy script using same logic 3. Run Strategy Tester on historical data Additionally, the indicator includes BUILT-IN duration estimate validation: • System backtests its own duration estimates • Shows accuracy metrics in dashboard and duration analysis boxes • Helps assess reliability on your specific symbol/timeframe Q: Why does Volume Momentum auto-disable in Scalping mode? A: Scalping requires ultra-fast entries to catch quick moves. Volume Momentum filter adds friction by requiring volume confirmation before signaling, which can cause missed opportunities in rapid scalping. Scalping preset is optimized for speed and frequency - the filter is counterproductive for that style. It remains enabled for Day Trading, Swing Trading, and Position Trading presets where patience improves results. You can manually enable it in Custom mode if desired. Q: How much historical data do I need for accurate duration estimates? A: Minimum: 50-100 bars (indicator will function but duration estimates less reliable) Recommended: 500+ bars (robust statistical database) Optimal: 1000+ bars (maximum Statistical accuracy) More history = more completed trends = better pattern matching = more accurate duration estimates. New symbols or newly-switched timeframes will have lower Statistical accuracy initially. Allow 2-4 weeks for the system to build historical database. IMPORTANT DISCLAIMERS No Guarantee of Profit: This indicator is an educational tool and does not guarantee any specific trading results. All trading involves substantial risk of loss. Duration estimates are statistical calculations based on historical patterns and are not guarantees of future performance. Past Performance: Historical backtest results and Statistical accuracy statistics do not guarantee future performance. Market conditions change constantly. What worked historically may not work in current or future markets. Not Financial Advice: This indicator provides technical analysis signals and statistical duration estimates only. It is not financial, investment, or trading advice. Always consult with a qualified financial advisor before making investment decisions. Risk Warning: Trading stocks, options, futures, forex, and cryptocurrencies involves significant risk. You can lose all of your invested capital. Never trade with money you cannot afford to lose. Only risk capital you can lose without affecting your lifestyle. Testing Required: Always test this indicator on a demo account or with paper trading before risking real capital. Understand how it works in different market conditions. Verify Statistical accuracy on your specific instruments and timeframes before trusting it with real money. User Responsibility: You are solely responsible for your trading decisions. The developer assumes no liability for trading losses, incorrect duration estimates, software errors, or any other damages incurred while using this indicator. Statistical Estimation Limitations: Trend Duration estimates are statistical estimates based on historical pattern matching. They are NOT guarantees. Actual trend durations may differ significantly from duration estimates due to unforeseen news events, market regime changes, or lack of historical precedent for current conditions. CREDITS & ACKNOWLEDGMENTS Methodology Inspiration: • Mark Minervini - Volatility Contraction Pattern (VCP) concepts and pullback entry techniques • William O'Neil - Volume analysis principles and CANSLIM institutional buying patterns • Dan Zanger - Momentum breakout strategies and volatility expansion entries Technical Components: • SuperTrend calculation - Classic ATR-based trend indicator (public domain) • Statistical analysis - Standard median, average, range calculations • k-Nearest Neighbors - Classic machine learning similarity matching concept • Multi-timeframe analysis - Standard request.security implementation in Pine Script For questions, feedback, or support, please comment below or send a private message. Happy Trading!
Penunjuk Pine Script®
oleh orenluxy
1
FRAMA Channel [BigBeluga]This is a trend-following indicator that utilizes the Fractal Adaptive Moving Average (FRAMA) to create a dynamic channel around the price. The FRAMA Channel helps identify uptrends, downtrends, and ranging markets by examining the relationship between the price and the channel's boundaries. It also marks trend changes with arrows, optionally displaying either price values or average volume at these key points. 🔵 IDEA The core idea behind the FRAMA Channel indicator is to use the fractal nature of markets to adapt to different market conditions. By creating a channel around the FRAMA line, it not only tracks price trends but also adapts its sensitivity based on market volatility. When the price crosses the upper or lower bands of the channel, it signals a potential shift in trend direction. If the price remains within the channel and crosses over the upper or lower bands without a breakout, the market is likely in a ranging phase with low momentum. This adaptive approach makes the FRAMA Channel effective in both trending and ranging market environments. 🔵 KEY FEATURES & USAGE ◉ Dynamic FRAMA Channel with Trend Signals: The FRAMA Channel uses a fractal-based moving average to create an adaptive channel around the price. When the price crosses above the upper band, it signals an uptrend and plots an upward arrow with the price (or average volume) value. Conversely, when the price crosses below the lower band, it signals a downtrend and marks the point with a downward arrow. This dynamic adaptation to market conditions helps traders identify key trend shifts effectively. ◉ Ranging Market Detection: If the price remains within the channel, and only the high crosses the upper band or the low crosses the lower band, the indicator identifies a ranging market with low momentum. In this case, the channel turns gray, signaling a neutral trend. This is particularly useful for avoiding false signals during periods of market consolidation. ◉ Color-Coded Candles and Channel Bands: Candles and channel bands are color-coded to reflect the current trend direction. Green indicates an upward trend, blue shows a downward trend, and gray signals a neutral or ranging market. This visual representation makes it easy to identify the market condition at a glance, helping traders make informed decisions quickly. ◉ Customizable Display of Price or Average Volume: On trend change signals, the indicator allows users to choose whether to display the price at the point of trend change or the average volume of 10 bars. This flexibility enables traders to focus on the information that is most relevant to their strategy, whether it's the exact price entery or the volume context of the market shift. Displaying the average volume allows to see the strength of the trend change. Price Data: Average Volume of points: 🔵 CUSTOMIZATION Length & Bands Distance: Adjust the length for the FRAMA calculation to control the sensitivity of the channel. A shorter length makes the channel more reactive to price changes, while a longer length smooths it out. The Bands Distance setting determines how far the bands are from the FRAMA line, helping to define the breakout and ranging conditions. Signals Data: Choose between displaying the price or the average volume on trend change arrows. This allows traders to focus on either the exact price level of trend change or the market volume context. Color Settings: Customize the colors for upward momentum, downward momentum, and neutral states to suit your charting preferences. You can also toggle whether to color the candles based on the momentum for a clearer visual of the trend direction. The FRAMA Channel indicator adapts to market conditions, providing a versatile tool for identifying trends and ranging markets with clear visual cues.
Penunjuk Pine Script®
oleh BigBeluga
34
Zigzag Simple [SCL]🟩  OVERVIEW Draws zigzag lines from pivot Highs to pivot Lows. You can choose between three different ways of calculating pivots:  • True Highs and Lows  • Williams pivots  • Oscillator pivots 🟩  HOW TO USE This indicator can be used to understand market structure, which is arguably the primary thing you need to be aware of when trading. The zigzag by itself does not display a market structure bias, nor any information about prices of pivots, HH and HL labels, or anything like that. Nevertheless, a simple zigzag is perhaps the easiest and most intuitive way to understand what price is doing. Choose a pivot style that you like, customise the colours and line style, and enjoy! 🟩  PIVOT TYPES EXPLAINED True Highs and Lows This is not an invention of mine (all credit to my humble mentor), but I haven't seen anyone else code them up. A true High is a close below the low of the candle with the highest high. A true Low is a close above the high of a candle with the lowest low. These are solid, price action-based pivots that can sometimes confirm quickly. Williams pivots This is how most people calculate pivots. They're simply the highest high for x bars back and x bars forwards. They're the vanilla of pivots IMO: serviceable but not very interesting. They're very convenient to code because there are built-in Pine functions for them: ta.pivothigh and ta.pivotlow . They confirm a predictable number of bars after they happen, which is great for coding but also makes the trader wait for confirmation. Oscillator pivots This is a completely different concept, which uses momentum in order to define pivots. For example, when you get a rise in momentum and momentum then drops a configurable amount, it confirms a pivot high, and vice versa for a pivot low. I don't know if anyone else does it –- although some indicators do mark pivots in momentum itself, and plenty do divergences, I wasn't able to find one that specifically marked *pivots in price* because of pivots in momentum 🤷‍♂️ Anyway, while this approach needs a whole investigation on its own, here we simply plot some pivots in a smoothed RSI. This indicator doesn't plot the actual momentum values -- for a more visual understanding of how this works, refer to the examples in the OscillatorPivots library. 🟩  UNIQUE ADVANTAGES In contrast to other zigzag indicators available, this one lets you choose between the standard and some more unique methods of generating the zigzags. Additionally, because it's based on libraries, it is relatively easy for programmers to use as a basis for experimentation. 🟩  GEEK STUFF Although there is considerable practical use for pivot-based zigzags in trading, this script is primarily a demonstration in coding -- specifically the power of libraries! Most of the script consists of setup, especially defining inputs. The final section sacrifices some readability for conciseness, simply to emphasise how little code you need when the heavy lifting is done by libraries . The actual calculations and drawing are achieved in just 8 lines. The equivalent code in the libraries is ~250 lines long. All libraries used are my own, public and open-source:  • MarketStructure  • DrawZigZag  • OscillatorPivots
Penunjuk Pine Script®
oleh SimpleCryptoLife
3
Ultimate Scalping Tool[BullByte]Overview The Ultimate Scalping Tool is an open-source TradingView indicator built for scalpers and short-term traders released under the Mozilla Public License 2.0. It uses a custom Quantum Flux Candle (QFC) oscillator to combine multiple market forces into one visual signal. In plain terms, the script reads momentum, trend strength, volatility, and volume together and plots a special “candlestick” each bar (the QFC) that reflects the overall market bias. This unified view makes it easier to spot entries and exits: the tool labels signals as Strong Buy/Sell, Pullback (a brief retracement in a trend), Early Entry, or Exit Warning . It also provides color-coded alerts and a small dashboard of metrics. In practice, traders see green/red oscillator bars and symbols on the chart when conditions align, helping them scalp or trend-follow without reading multiple separate indicators. Core Components Quantum Flux Candle (QFC) Construction The QFC is the heart of the indicator. Rather than using raw price, it creates a candlestick-like bar from the underlying oscillator values. Each QFC bar has an “open,” “high/low,” and “close” derived from calculated momentum and volatility inputs for that period . In effect, this turns the oscillator into intuitive candle patterns so traders can recognize momentum shifts visually. (For comparison, note that Heikin-Ashi candles “have a smoother look because take an average of the movement”. The QFC instead represents exact oscillator readings, so it reflects true momentum changes without hiding price action.) Colors of QFC bars change dynamically (e.g. green for bullish momentum, red for bearish) to highlight shifts. This is the first open-source QFC oscillator that dynamically weights four non-correlated indicators with moving thresholds, which makes it a unique indicator on its own. Oscillator Normalization & Adaptive Weights The script normalizes its oscillator to a fixed scale (for example, a 0–100 range much like the RSI) so that various inputs can be compared fairly. It then applies adaptive weighting: the relative influence of trend, momentum, volatility or volume signals is automatically adjusted based on current market conditions. For instance, in very volatile markets the script might weight volatility more heavily, or in a strong trend it might give extra weight to trend direction. Normalizing data and adjusting weights helps keep the QFC sensitive but stable (normalization ensures all inputs fit a common scale). Trend/Momentum/Volume/Volatility Fusion Unlike a typical single-factor oscillator, the QFC oscillator fuses four aspects at once. It may compute, for example, a trend indicator (such as an ADX or moving average slope), a momentum measure (like RSI or Rate-of-Change), a volume-based pressure (similar to MFI/OBV), and a volatility measure (like ATR) . These different values are combined into one composite oscillator. This “multi-dimensional” approach follows best practices of using non-correlated indicators (trend, momentum, volume, volatility) for confirmation. By encoding all these signals in one line, a high QFC reading means that trend, momentum, and volume are all aligned, whereas a neutral reading might mean mixed conditions. This gives traders a comprehensive picture of market strength. Signal Classification The script interprets the QFC oscillator to label trades. For example: • Strong Buy/Sell : Triggered when the oscillator crosses a high-confidence threshold (e.g. breaks clearly above zero with strong slope), indicating a well-confirmed move. This is like seeing a big green/red QFC candle aligned with the trend. • Pullbacks : Identified when the trend is up but momentum dips briefly. A Pullback Buy appears if the overall trend is bullish but the oscillator has a short retracement – a typical buying opportunity in an uptrend. (A pullback is “a brief decline or pause in a generally upward price trend”.) • Early Buy/Sell : Marks an initial swing in the oscillator suggesting a possible new trend, before it is fully confirmed. It’s a hint of momentum building (an early-warning signal), not as strong as the confirmed “Strong” signal. • Exit Warnings : Issued when momentum peaks or reverses. For instance, if the QFC bars reach a high and start turning red/green opposite, the indicator warns that the move may be ending. In other words, a Momentum Peak is the point of maximum strength after which weakness may follow. These categories correspond to typical trading concepts: Pullback (temporary reversal in an uptrend), Early Buy (an initial bullish cross), Strong Buy (confirmed bullish momentum), and Momentum Peak (peak oscillator value suggesting exhaustion). Filters (DI Reversal, Dynamic Thresholds, HTF EMA/ADX) Extra filters help avoid bad trades. A DI Reversal filter uses the +DI/–DI lines (from the ADX system) to require that the trend direction confirms the signal . For example, it might ignore a buy signal if the +DI is still below –DI. Dynamic Thresholds adjust signal levels on-the-fly: rather than fixed “overbought” lines, they move with volatility so signals happen under appropriate market stress. An optional High-Timeframe EMA or ADX filter adds a check against a larger timeframe trend: for instance, only taking a trade if price is above the weekly EMA or if weekly ADX shows a strong trend. (Notably, the ADX is “a technical indicator used by traders to determine the strength of a price trend”, so requiring a high-timeframe ADX avoids trading against the bigger trend.) Dashboard Metrics & Color Logic The Dashboard in the Ultimate Scalping Tool (UST) serves as a centralized information hub, providing traders with real-time insights into market conditions, trend strength, momentum, volume pressure, and trade signals. It is highly customizable, allowing users to adjust its appearance and content based on their preferences. 1. Dashboard Layout & Customization Short vs. Extended Mode : Users can toggle between a compact view (9 rows) and an extended view (13 rows) via the `Short Dashboard` input. Text Size Options : The dashboard supports three text sizes— Tiny, Small, and Normal —adjustable via the `Dashboard Text Size` input. Positioning : The dashboard is positioned in the top-right corner by default but can be moved if modified in the script. 2. Key Metrics Displayed The dashboard presents critical trading metrics in a structured table format: Trend (TF) : Indicates the current trend direction (Strong Bullish, Moderate Bullish, Sideways, Moderate Bearish, Strong Bearish) based on normalized trend strength (normTrend) . Momentum (TF) : Displays momentum status (Strong Bullish/Bearish or Neutral) derived from the oscillator's position relative to dynamic thresholds. Volume (CMF) : Shows buying/selling pressure levels (Very High Buying, High Selling, Neutral, etc.) based on the Chaikin Money Flow (CMF) indicator. Basic & Advanced Signals: Basic Signal : Provides simple trade signals (Strong Buy, Strong Sell, Pullback Buy, Pullback Sell, No Trade). Advanced Signal : Offers nuanced signals (Early Buy/Sell, Momentum Peak, Weakening Momentum, etc.) with color-coded alerts. RSI : Displays the Relative Strength Index (RSI) value, colored based on overbought (>70), oversold (<30), or neutral conditions. HTF Filter : Indicates the higher timeframe trend status (Bullish, Bearish, Neutral) when using the Leading HTF Filter. VWAP : Shows the V olume-Weighted Average Price and whether the current price is above (bullish) or below (bearish) it. ADX : Displays the Average Directional Index (ADX) value, with color highlighting whether it is rising (green) or falling (red). Market Mode : Shows the selected market type (Crypto, Stocks, Options, Forex, Custom). Regime : Indicates volatility conditions (High, Low, Moderate) based on the **ATR ratio**. 3. Filters Status Panel A secondary panel displays the status of active filters, helping traders quickly assess which conditions are influencing signals: - DI Reversal Filter: On/Off (confirms reversals before generating signals). - Dynamic Thresholds: On/Off (adjusts buy/sell thresholds based on volatility). - Adaptive Weighting: On/Off (auto-adjusts oscillator weights for trend/momentum/volatility). - Early Signal: On/Off (enables early momentum-based signals). - Leading HTF Filter: On/Off (applies higher timeframe trend confirmation). 4. Visual Enhancements Color-Coded Cells : Each metric is color-coded (green for bullish, red for bearish, gray for neutral) for quick interpretation. Dynamic Background : The dashboard background adapts to market conditions (bullish/bearish/neutral) based on ADX and DI trends. Customizable Reference Lines : Users can enable/disable fixed reference lines for the oscillator. How It(QFC) Differs from Traditional Indicators Quantum Flux Candle (QFC) Versus Heikin-Ashi Heikin-Ashi candles smooth price by averaging (HA’s open/close use averages) so they show trend clearly but hide true price (the current HA bar’s close is not the real price). QFC candles are different: they are oscillator values, not price averages . A Heikin-Ashi chart “has a smoother look because it is essentially taking an average of the movement”, which can cause lag. The QFC instead shows the raw combined momentum each bar, allowing faster recognition of shifts. In short, HA is a smoothed price chart; QFC is a momentum-based chart. Versus Standard Oscillators Common oscillators like RSI or MACD use fixed formulas on price (or price+volume). For example, RSI “compares gains and losses and normalizes this value on a scale from 0 to 100”, reflecting pure price momentum. MFI is similar but adds volume. These indicators each show one dimension: momentum or volume. The Ultimate Scalping Tool’s QFC goes further by integrating trend strength and volatility too. In practice, this means a move that looks strong on RSI might be downplayed by low volume or weak trend in QFC. As one source notes, using multiple non-correlated indicators (trend, momentum, volume, volatility) provides a more complete market picture. The QFC’s multi-factor fusion is unique – it is effectively a multi-dimensional oscillator rather than a traditional single-input one. Signal Style Traditional oscillators often use crossovers (RSI crossing 50) or fixed zones (MACD above zero) for signals. The Ultimate Scalping Tool’s signals are custom-classified: it explicitly labels pullbacks, early entries, and strong moves. These terms go beyond a typical indicator’s generic “buy”/“sell.” In other words, it packages a strategy around the oscillator, which traders can backtest or observe without reading code. Key Term Definitions • Pullback : A short-term dip or consolidation in an uptrend. In this script, a Pullback Buy appears when price is generally rising but shows a brief retracement. (As defined by Investopedia, a pullback is “a brief decline or pause in a generally upward price trend”.) • Early Buy/Sell : An initial or tentative entry signal. It means the oscillator first starts turning positive (or negative) before a full trend has developed. It’s an early indication that a trend might be starting. • Strong Buy/Sell : A confident entry signal when multiple conditions align. This label is used when momentum is already strong and confirmed by trend/volume filters, offering a higher-probability trade. • Momentum Peak : The point where bullish (or bearish) momentum reaches its maximum before weakening. When the oscillator value stops rising (or falling) and begins to reverse, the script flags it as a peak – signaling that the current move could be overextended. What is the Flux MA? The Flux MA (Moving Average) is an Exponential Moving Average (EMA) applied to a normalized oscillator, referred to as FM . Its purpose is to smooth out the fluctuations of the oscillator, providing a clearer picture of the underlying trend direction and strength. Think of it as a dynamic baseline that the oscillator moves above or below, helping you determine whether the market is trending bullish or bearish. How it’s calculated (Flux MA): 1.The oscillator is normalized (scaled to a range, typically between 0 and 1, using a default scale factor of 100.0). 2.An EMA is applied to this normalized value (FM) over a user-defined period (default is 10 periods). 3.The result is rescaled back to the oscillator’s original range for plotting. Why it matters : The Flux MA acts like a support or resistance level for the oscillator, making it easier to spot trend shifts. Color of the Flux Candle The Quantum Flux Candle visualizes the normalized oscillator (FM) as candlesticks, with colors that indicate specific market conditions based on the relationship between the FM and the Flux MA. Here’s what each color means: • Green : The FM is above the Flux MA, signaling bullish momentum. This suggests the market is trending upward. • Red : The FM is below the Flux MA, signaling bearish momentum. This suggests the market is trending downward. • Yellow : Indicates strong buy conditions (e.g., a "Strong Buy" signal combined with a positive trend). This is a high-confidence signal to go long. • Purple : Indicates strong sell conditions (e.g., a "Strong Sell" signal combined with a negative trend). This is a high-confidence signal to go short. The candle mode shows the oscillator’s open, high, low, and close values for each period, similar to price candlesticks, but it’s the color that provides the quick visual cue for trading decisions. How to Trade the Flux MA with Respect to the Candle Trading with the Flux MA and Quantum Flux Candle involves using the MA as a trend indicator and the candle colors as entry and exit signals. Here’s a step-by-step guide: 1. Identify the Trend Direction • Bullish Trend : The Flux Candle is green and positioned above the Flux MA. This indicates upward momentum. • Bearish Trend : The Flux Candle is red and positioned below the Flux MA. This indicates downward momentum. The Flux MA serves as the reference line—candles above it suggest buying pressure, while candles below it suggest selling pressure. 2. Interpret Candle Colors for Trade Signals • Green Candle : General bullish momentum. Consider entering or holding a long position. • Red Candle : General bearish momentum. Consider entering or holding a short position. • Yellow Candle : A strong buy signal. This is an ideal time to enter a long trade. • Purple Candle : A strong sell signal. This is an ideal time to enter a short trade. 3. Enter Trades Based on Crossovers and Colors • Long Entry : Enter a buy position when the Flux Candle turns green and crosses above the Flux MA. If it turns yellow, this is an even stronger signal to go long. • Short Entry : Enter a sell position when the Flux Candle turns red and crosses below the Flux MA. If it turns purple, this is an even stronger signal to go short. 4. Exit Trades • Exit Long : Close your buy position when the Flux Candle turns red or crosses below the Flux MA, indicating the bullish trend may be reversing. • Exit Short : Close your sell position when the Flux Candle turns green or crosses above the Flux MA, indicating the bearish trend may be reversing. •You might also exit a long trade if the candle changes from yellow to green (weakening strong buy signal) or a short trade from purple to red (weakening strong sell signal). 5. Use Additional Confirmation To avoid false signals, combine the Flux MA and candle signals with other indicators or dashboard metrics (e.g., trend strength, momentum, or volume pressure). For example: •A yellow candle with a " Strong Bullish " trend and high buying volume is a robust long signal. •A red candle with a " Moderate Bearish " trend and neutral momentum might need more confirmation before shorting. Practical Example Imagine you’re scalping a cryptocurrency: • Long Trade : The Flux Candle turns yellow and is above the Flux MA, with the dashboard showing "Strong Buy" and high buying volume. You enter a long position. You exit when the candle turns red and dips below the Flux MA. • Short Trade : The Flux Candle turns purple and crosses below the Flux MA, with a "Strong Sell" signal on the dashboard. You enter a short position. You exit when the candle turns green and crosses above the Flux MA. Market Presets and Adaptation This indicator is designed to work on any market with candlestick price data (stocks, crypto, forex, indices, etc.). To handle different behavior, it provides presets for major asset classes. Selecting a “Stocks,” “Crypto,” “Forex,” or “Options” preset automatically loads a set of parameter values optimized for that market . For example, a crypto preset might use a shorter lookback or higher sensitivity to account for crypto’s high volatility, while a stocks preset might use slightly longer smoothing since stocks often trend more slowly. In practice, this means the same core QFC logic applies across markets, but the thresholds and smoothing adjust so signals remain relevant for each asset type. Usage Guidelines • Recommended Timeframes : Optimized for 1 minute to 15 minute intraday charts. Can also be used on higher timeframes for short term swings. • Market Types : Select “Crypto,” “Stocks,” “Forex,” or “Options” to auto tune periods, thresholds and weights. Use “Custom” to manually adjust all inputs. • Interpreting Signals : Always confirm a signal by checking that trend, volume, and VWAP agree on the dashboard. A green “Strong Buy” arrow with green trend, green volume, and price > VWAP is highest probability. • Adjusting Sensitivity : To reduce false signals in fast markets, enable DI Reversal Confirmation and Dynamic Thresholds. For more frequent entries in trending environments, enable Early Entry Trigger. • Risk Management : This tool does not plot stop loss or take profit levels. Users should define their own risk parameters based on support/resistance or volatility bands. Background Shading To give you an at-a-glance sense of market regime without reading numbers, the indicator automatically tints the chart background in three modes—neutral, bullish and bearish—with two levels of intensity (light vs. dark): Neutral (Gray) When ADX is below 20 the market is considered “no trend” or too weak to trade. The background fills with a light gray (high transparency) so you know to sit on your hands. Bullish (Green) As soon as ADX rises above 20 and +DI exceeds –DI, the background turns a semi-transparent green, signaling an emerging uptrend. When ADX climbs above 30 (strong trend), the green becomes more opaque—reminding you that trend-following signals (Strong Buy, Pullback) carry extra weight. Bearish (Red) Similarly, if –DI exceeds +DI with ADX >20, you get a light red tint for a developing downtrend, and a darker, more solid red once ADX surpasses 30. By dynamically varying both hue (green vs. red vs. gray) and opacity (light vs. dark), the background instantly communicates trend strength and direction—so you always know whether to favor breakout-style entries (in a strong trend) or stay flat during choppy, low-ADX conditions. The setup shown in the above chart snapshot is BTCUSD 15 min chart : Binance for reference. Disclaimer No indicator guarantees profits. Backtest or paper trade this tool to understand its behavior in your market. Always use proper position sizing and stop loss orders. Good luck! - BullByte
Penunjuk Pine Script®
oleh BullByte
45
Adaptive DEMA Momentum Oscillator (ADMO)Overview: The Adaptive DEMA Momentum Oscillator (ADMO) is an open-source technical analysis tool developed to measure market momentum using a Double Exponential Moving Average (DEMA) and adaptive standard deviation. By dynamically combining price deviation from the moving average with normalized standard deviation, ADMO provides traders with a powerful way to interpret market conditions. Key Features: Double Exponential Moving Average (DEMA): The core calculation of the indicator is based on DEMA, which is known for being more responsive to price changes compared to traditional moving averages. This makes the ADMO capable of capturing trend momentum effectively. Standard Deviation Integration: A normalized standard deviation is used to adaptively weight the oscillator. This makes the indicator more sensitive to market volatility, enhancing responsiveness during high volatility and reducing sensitivity during calmer periods. Oscillator Representation: The final oscillator value is derived from the combination of the DEMA-based Z-score and the normalized standard deviation. This final value is visualized as a color-coded histogram, reflecting bullish or bearish momentum. Color-Coded Histogram: Bullish Momentum: Values above zero are colored using a customizable bullish color (default: light green). Bearish Momentum: Values below zero are colored using a customizable bearish color (default: red). How It Works: Inputs: DEMA Length: Defines the period used for calculating the Double Exponential Moving Average. It can be adjusted from 1 to 200 to suit different trading styles. Standard Deviation Length: Sets the lookback period for standard deviation calculations, which influences the responsiveness of the oscillator. Standard Deviation Weight (StdDev Weight): Controls the weight given to the normalized standard deviation, allowing customization of the oscillator's sensitivity to volatility. Calculation Steps: Double Exponential Moving Average Calculation: The DEMA is calculated using two exponential moving averages, which helps in reducing lag compared to a simple moving average. Z-score Calculation: The Z-score is derived by comparing the difference between the DEMA and its smoothed average (LSMA) to the standard deviation. This indicates how far the current value is from the mean in units of standard deviation. Normalized Standard Deviation: The standard deviation is normalized by subtracting the mean standard deviation and dividing by the standard deviation of the values. This helps to make the oscillator adaptive to recent changes in volatility. Final Oscillator Value: The final value is calculated by multiplying the Z-score with a factor based on the normalized standard deviation, resulting in a momentum indicator that adapts to different market conditions. Visualization: Histogram: The oscillator is plotted as a histogram, with color-coded bars showing the strength and direction of market momentum. Positive (bullish) values are shown in green, indicating upward momentum. Negative (bearish) values are shown in red, indicating downward momentum. Zero Line: A zero line is plotted to provide a reference point, helping users quickly determine whether the current momentum is bullish or bearish. Example Use Cases: Momentum Identification: ADMO helps identify the current market momentum by dynamically adapting to changes in market volatility. When the histogram is above zero and green, it indicates bullish conditions, whereas values below zero and red suggest bearish momentum. Volatility-Adjusted Signals: The normalized standard deviation weighting allows the ADMO to provide more reliable signals during different market conditions. This makes it particularly useful for traders who want to be responsive to market volatility while avoiding false signals. Trend Confirmation and Divergence: ADMO can be used to confirm the strength of a trend or identify potential divergences between price and momentum. This helps traders spot potential reversal points or continuation signals. Summary: The Adaptive DEMA Momentum Oscillator (ADMO) offers a unique approach by combining momentum analysis with adaptive standard deviation. The integration of DEMA makes it responsive to price changes, while the standard deviation adjustment helps it stay relevant in both high and low volatility environments. It's a versatile tool for traders who need an adaptive, momentum-based approach to technical analysis. Feel free to explore the code and adapt it to your trading strategy. The open-source nature of this tool allows you to adjust the settings and visualize the output to fit your personal trading preferences.
Penunjuk Pine Script®
oleh BullVisionCapital
6
Dynamo ╭━━━╮ ╰╮╭╮┃ ╱┃┃┃┣╮╱╭┳━╮╭━━┳╮╭┳━━╮ ╱┃┃┃┃┃╱┃┃╭╮┫╭╮┃╰╯┃╭╮┃ ╭╯╰╯┃╰━╯┃┃┃┃╭╮┃┃┃┃╰╯┃ ╰━━━┻━╮╭┻╯╰┻╯╰┻┻┻┻━━╯ ╱╱╱╱╭━╯┃ ╱╱╱╱╰━━╯ Overview Dynamo is built to be the Swiss-knife for price-movement & strength detection, it aims to provide a holistic view of the current price across multiple dimensions. This is achieved by combining 3 very specific indicators(RSI, Stochastic & ADX) into a single view. Each of which serve a different purpose, and collectively provide a simple, yet powerful tool to gauge the true nature of price-action. Background Dynamo uses 3 technical analysis tools in conjunction to provide better insights into price movement, they are briefly explained below: Relative Strength Index(RSI) RSI is a popular indicator that is often used to measure the velocity of price change & the intensity of directional moves. RSI computes the relative strength of the current price by comparing the security’s bullish strength versus bearish strength for a given period, i.e. by comparing average gain to average loss. It is a range bound(0-100) variable that generates a bullish reading if average gain is higher, and a bullish reading if average loss is higher. Values over 50 are generally considered bullish & values less than 50 indicate a bearish market. Values over 70 indicate an overbought condition, and values below 30 indicate oversold condition. Stochastic Stochastic is an indicator that aims to measure the momentum in the market, by comparing most recent closing price of the security to its price range for a given period. It is based on the assumption that price tends to close near the recent high in an up trend, and it closes near the recent low during a down trend. It is also range bound(0-100), values over 80 indicate overbought condition and values below 20 indicate oversold condition. Average Directional Index(ADX) ADX is an indicator that can quantify trend strength, it is derived from two underlying indices, known as Directional Movement Index(DMI). +DMI represents strength of the up trend, and -DMI represents strength of the down trend, and ADX is the average of the two. ADX is non-directional or trend-neutral, which means, it does not follow the direction of the price, instead ADX will rise only when there is a strong trend, it does not matter if it’s an up trend or a down trend. Typical ranges of ADX are 25-50 for a strong trend, anything below 25 is considered as no trend or weak trend. ADX can frequently shoot upto higher values, but it generally finds exhaustion levels around the 60-75 range. About the script All these indicators are very powerful tools, but just like any other indicator they have their limitations. Stochastic & ADX can generate false signals in volatile markets, meaning price wouldn’t always follow through with what’s being indicated. ADX may even fail to generate a signal in less volatile markets, simply because it is based on moving averages, it tends to react slower to price changes. RSI can also lose it’s effectiveness when markets are trending strong, as it can stay in the overbought or oversold ranges for an extended period of time. Dynamo aims to provide the trader with a much broader perspective by bringing together these contrasting indicators into a single simplified view. When Stochastic becomes less reliable in highly volatile conditions, one can cross validate their deduction by looking at RSI patterns. When RSI gets stuck in overbought or oversold range, one can refer to ADX to get better picture about the current trend. Similarly, various combinations of rules & setups can be formulated to get a more deterministic view, when working with either of these indicators. There many possible use cases for a tool like this, and it totally depends on how you want to use it. An obvious option is to use it to trigger signals only after it has been confirmed by two or more indicators, for example, RSI & Stochastic make a great combination for cross-over or cross-under strategies. Some of the other options include trend detection, strength detection, reversals or price rejection points, possible duration of a trend, and all of these can very easily be translated into effective entry and exit points for trades. How to use it Dynamo is an easy-to-use tool, just add it to your chart and you’re good to start with your market analysis. Output consists of three overlapping plots, each of which tackle price movement from a slightly different angle. Stochastic:  A momentum indicator that plots the current closing price in relation to the price-range over a given period of time. Can be used to detect the direction of the price movement, potential reversals, or duration of an up/down move. Plotted as grey coloured histograms in the background. Relative Strength Index(RSI): RSI is also a momentum indicator that measures the velocity with which the price changes. Can be used to detect the speed of the price movement, RSI divergences can be a nice way to detect directional changes. Plotted as an aqua coloured line. Average Directional Index(ADX):  ADX is an indicator that is used to measure the strength of the current trend. Can be used to measure how strong the price movement is, both up and down, or to establish long terms trends. Plotted as an orange coloured line. Features Provides a well-rounded view of the market movement by amalgamating some of the best strength indicators, helping traders make better informed decisions with minimal effort. Simplistic plots that aim to convey clean signals, as a result, reducing clutter on the chart, and hopefully in the trader's head too. Combines different types of indicators into a single view, which leads to an optimised use of the precious screen real-estate. Final Note Dynamo is designed to be minimalistic in functionality and in appearance, as it is being built to be a general purpose tool that is not only beginner friendly, but can also be highly-configurable to meet the needs of pro traders. Thresholds & default values for the indicators are only suggestions based on industry standards, they may not be an exact match for all markets & conditions. Hence, it is advisable for the user to test & adjust these values according their securities and trading styles. The chart highlights one of many possible setups using this tool, and it can used to create various types of setups & strategies, but it is also worth noting that the usability & the effectiveness of this tool also depends on the user’s understanding & interpretation of the underlying indicators. Lastly, this tool is only an indicator and should only be perceived that way. It does not guarantee anything, and the user should do their own research before committing to trades based on any indicator.
Penunjuk Pine Script®
oleh sudoMode
4
DRM StrategyOne of the ways I go when I develop strategies is by reducing the number of parameters and removing fixed parameters and levels. In this strategy, I'm trying to create an RSI indicator with a dynamic length. Length is computed based on the correlation between Price and its momentum. You can set min and max values for the RSI, and if the correlation is close to 1, we'll be at a min RSI value. When it's -1, we'll be at the max level. I got this idea from Sofien Kaabar's book. The strategy is super simple, and there might be much room for improvement. Performance on the deep backtesting is not excellent, so I think the strategy needs some filters for regimes, etc. Thanks to @MUQWISHI for helping me code it. Disclaimer Please remember that past performance may not indicate future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script don’t provide any financial advice.
Strategi Pine Script®
oleh QuantNomad
5
Squeeze Momentum MTF [LPWN]//ENGLISH Squeeze momentum of lazy bear, multiple time frames, It gives you information if the cycles with high temporality momentums are in harmony, by default two more momentums are shown, I prefer to use only one extra, in the options you can change the time frame of the momentums, in addition to the momentums you can add the RSI and ADX, if the momentum look small, you can change the value of general scale to make them bigger, the table gives us information on how the momentums and the adx are, in the options you can set the candles to color according to the harmony of the momentums // SPANISH Squeeze momentum de lazy bear, multiple time frames, te da informacion si los ciclos con momentums de temporalidad alta estan en armonia,por defecto se muestran dos momentums mas, yo prefiero usar solo uno extra, en las opcoines puedes cambiar la temporalidad de los momentums, ademas de los momentums puedes agregar el RSI y el ADX, si el momentum se ve pequeño, puedes cambiar el valor de general scale para hacerlos mas grandes, la tabla nos da infomracion de como estan los momentums y el adx, en las opciones puedes poner que las velas se pongan del color de acuerdo a la armonia de los momentums
Penunjuk Pine Script®
oleh Lupown
10
Trend Friendly RSITrend Friendly RSI Unlike the standard RSI, "Trend Friendly RSI" adapts to the trend. RSI and other momentum-based oscillators cannot give a buy signal in uptrends and a sell signal in downtrends because they do not take into account the momentum of the trend and behave as if the price is in a constant sideways trend. "Trend Friendly RSI", on the other hand, takes into account the momentum of the trend of your chosen length and subtracts it from the current momentum, thus giving more realistic buy and sell signals. use it to identify your long-term investments and trading entry points for hodl. It would be wise to use this indicator for assets that you have done fundamental analysis and are sure of the trend direction. it doesn't know what the price will do, it just shows the points that are suitable for you. remember this indicator will fail in horizontal trends.
Penunjuk Pine Script®
oleh faytterro
8
Mobo BandsThis indicator is the Mobo Bands (Momentum Breakout Bands). These bands are bollinger bands that have an adjusted standard deviation. There are Buy signals when it has momentum breakouts above the bands for moves to the upside and Sell signals when it has momentum breakouts below the bands for moves to the downside. The bands simply suggest that all markets have periods of chop which we all know to be true. While the price is inside the bands it is said to be trendless. Once the breakouts happen you can take trades in the breakout direction. I like to use these to swing trade options on the hourly timeframe but the bands should work on most instruments and timeframes. I like to use it to take swings on SPY on the 1 hour chart for entries and use the Daily chart for trend confirmation.
Penunjuk Pine Script®
oleh barrettdenning
34
True Strength Index with Crossovers Alerts🚀 True Strength Index (TSI) with Visual Crossover Alerts Hey everyone! I’m sharing my customized True Strength Index (TSI) indicator, which I've boosted with clear visual signals and alert conditions based on my personal, high-probability trading strategy. The True Strength Index is a powerful, oscillation-based momentum indicator that smooths price movements twice using Exponential Moving Averages (EMAs). This double-smoothing process helps to filter out market noise, giving you a much clearer view of momentum changes than basic indicators. 🛠️ How This Script Works This script focuses on the crucial interaction between the TSI line and its Signal Line: TSI Line (Blue): Tracks momentum direction and strength. Signal Line (Red): A simple EMA of the TSI line, used to determine short-term trend shifts. Visual Buy/Sell Signals: To make signals impossible to miss, I've added distinct visual markers: 🟢 Green Dot: A "Buy Signal" is plotted at the bottom of the indicator pane when the TSI crosses above the Signal Line (bullish crossover). 🔴 Red Dot: A "Sell Signal" is plotted at the bottom when the TSI crosses below the Signal Line (bearish crossover). Additionally, I've included named alertconditions so you can set up real-time notifications for these exact crossovers in the TradingView Alert system. 🧠 My Trading Logic: Combining TSI with RSI I don't use the TSI in isolation. My favorite approach is to use this TSI indicator as a timing tool, but only when it aligns with the overall momentum context defined by the Relative Strength Index (RSI). This is the key to my strategy: Bullish Trade Filter: I only take a BUY signal (Green Dot) when my RSI indicator is already in a bullish territory (above 50). Bearish Trade Filter: I only take a SELL signal (Red Dot) when my RSI indicator is already in a bearish territory (below 50). This combination ensures you are trading with the underlying momentum trend, improving the probability of success. ⚙️ My Recommended Custom Settings For the best results with this strategy, I recommend using the following custom settings. You can enter these values in the "Inputs" tab when adding the indicator to your chart. 1. TSI (Alerts) Settings Long Length - 60 Higher value for smoother price change data. Short Length -30 Medium-term smoothing for clearer momentum shifts. Signal Length - 9 Short length for a responsive signal line. 2. Companion RSI Settings (RSI+) RSI Length - 150 A long look-back period for highly accurate trend filtering. MA1 Length - 60 Used for additional smoothing. MA2 Length - 150 Used for powerful trend confluence.
Penunjuk Pine Script®
oleh Charted_Trades
Guppy Multiple Moving Average (GMMA)The GMMA Momentum Indicator plots 12 EMAs on your chart, divided into two groups: Short-term EMAs (6 lines, default periods: 3, 5, 8, 10, 12, 15): Represent short-term trader sentiment and momentum. Long-term EMAs (6 lines, default periods: 30, 35, 40, 45, 50, 60): Reflect long-term investor behavior and broader market trends. By analyzing the interaction between these two groups, the indicator identifies: Bullish and bearish trends based on the relative positions of the short- and long-term EMAs. Momentum strength through the spread or convergence of the EMAs. Potential reversals or breakouts via compression signals. This PineScript version enhances the traditional GMMA by adding visual cues like background colors, bearish signals, and compression detection, making it ideal for swing traders seeking clear, actionable insights. The GMMA Momentum Indicator provides several key features: 1. Trend Identification Bullish Trend: When the short-term EMAs (green lines) are above the long-term EMAs (blue lines) and spreading apart, it signals strong upward momentum. The chart background turns light green to highlight this condition. Bearish Trend: When the short-term EMAs cross below the long-term EMAs and converge, it indicates downward momentum. The background turns light red, and an orange downward triangle appears above the bar to mark a new bearish signal. 2. Momentum Analysis The spread between the short-term EMAs reflects the strength of short-term momentum. A wide spread suggests strong momentum, while a tight grouping indicates weakening momentum or consolidation. Similarly, the long-term EMAs act as dynamic support or resistance, guiding traders on the broader trend. 3. Compression Detection Compression occurs when both the short-term and long-term EMAs converge, signaling low volatility and a potential breakout or reversal. A yellow upward triangle appears below the bar when compression is detected, alerting traders to watch for price action. 4. Visual Cues Green short-term EMAs: Show short-term trader activity. Blue long-term EMAs: Represent long-term investor sentiment. Background colors: Light green for bullish trends, light red for bearish trends, and transparent for neutral conditions. Orange downward triangles: Mark new bearish trends. Yellow upward triangles: Indicate compression, hinting at potential breakouts. How to Use the GMMA Momentum Indicator for Swing Trading Swing trading involves capturing price moves over days to weeks, and the GMMA Momentum Indicator is an excellent tool for this strategy. Here’s how to use it effectively: 1. Identifying Trade Entries Buy Opportunities: Look for a bullish trend (green background) where the short-term EMAs are above the long-term EMAs and spreading apart, indicating strong momentum. A compression signal (yellow triangle) followed by a breakout above resistance or a bullish candlestick pattern can confirm an entry. Example: On a daily chart, if the short-term EMAs cross above the long-term EMAs and the background turns green, consider entering a long position, especially if volume supports the move. Sell Opportunities: Watch for a bearish signal (orange downward triangle) or a bearish trend (red background) where the short-term EMAs cross below the long-term EMAs. Example: If the short-term EMAs collapse below the long-term EMAs and an orange triangle appears, it may signal a shorting opportunity or a time to exit longs. 2. Managing Trades Use the long-term EMAs as dynamic support (in uptrends) or resistance (in downtrends) to set stop-loss levels or trail stops. Monitor the spread of the short-term EMAs. A widening spread suggests the trend is strong, while convergence may indicate it’s time to take profits or tighten stops. 3. Anticipating Reversals Compression signals (yellow triangles) highlight periods of low volatility, often preceding significant price moves. Combine these with price action (e.g., breakouts or reversals) or other indicators (e.g., RSI or volume) for confirmation. Example: If a compression signal appears near a key support level and the price breaks upward, it could signal the start of a new bullish swing. 4. Best Practices Timeframes: The indicator works well on daily or 4-hour charts for swing trading, but you can adjust the EMA periods for shorter (e.g., 1-hour) or longer (e.g., weekly) timeframes. Confirmation: Combine the GMMA with other tools like support/resistance levels, candlestick patterns, or oscillators (e.g., MACD) to reduce false signals. Risk Management: Always use proper position sizing and stop-losses, as EMAs are lagging indicators and may produce delayed signals in choppy markets.
Penunjuk Pine Script®
oleh thrilledFalcon14