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Regime EngineRegime Engine Overview Regime Engine is a market regime detection system that classifies price action into bullish, bearish, or neutral states using weighted exponential moving average analysis. Once the regime is identified, the indicator generates buy and sell signals based on Donchian channel breakouts, filtered by ADX trend strength and RSI momentum conditions. The Money Line The core of regime detection is the Money Line, a weighted combination of two exponential moving averages. By default, the short EMA (8 periods) receives 60% weight while the long EMA (24 periods) receives 40% weight. This weighting allows the Money Line to be more responsive than a simple long-period average while remaining smoother than a short-period average alone. The Money Line changes color based on the current regime: green for bullish, red for bearish, and yellow for neutral. This provides immediate visual feedback about the market state. Regime Classification The indicator determines market regime by comparing the relative positions of the short and long EMAs while also considering RSI levels to avoid classifying overbought or oversold conditions as trend states. Bullish regime is identified when the short EMA is above the long EMA and RSI is not in overbought territory. This combination suggests upward momentum that is not yet exhausted. Bearish regime is identified when the short EMA is below the long EMA and RSI is not in oversold territory. This indicates downward momentum with room to continue. Neutral regime applies when the EMAs are close together or RSI conditions prevent trend classification. The indicator provides two optional methods for enhanced neutral detection. Neutral Zone Detection Markets often transition through periods where trend direction is unclear. The indicator offers two complementary methods for detecting these neutral zones. The slope method examines the rate of change of the Money Line relative to ATR. When the Money Line is moving slowly (slope below a tolerance threshold), the market is classified as neutral regardless of EMA positioning. The EMA distance method calculates the percentage distance between the short and long EMAs. When they are within a specified percentage of each other, the EMAs are considered too close to reliably indicate direction. Either or both methods can be enabled, and if either triggers, the regime is classified as neutral. Donchian Channel Signals Buy and sell signals are generated when price interacts with the Donchian channel boundaries. The Donchian channel plots the highest high and lowest low over a lookback period (default 20 bars), offset by one bar to prevent repainting. Buy signals trigger when price touches or breaks below the lower Donchian band, indicating a potential support level. Sell signals trigger when price touches or breaks above the upper Donchian band, indicating potential resistance. An optional setting requires the close to confirm the break rather than just the wick, providing more conservative signal generation. ADX Trend Strength Filter The Average Directional Index filters signals to ensure they occur during trending conditions. When enabled, signals only fire if ADX exceeds the threshold (default 24), confirming that the market has sufficient directional momentum for breakout trades to succeed. The indicator uses Wilder's original smoothing method for ADX calculation, providing the traditional interpretation of trend strength values. RSI Momentum Filter RSI provides additional signal filtering to ensure entries occur at favorable momentum levels. Buy signals require RSI to be at or below the oversold threshold (default 30), indicating potential exhaustion of selling pressure. Sell signals require RSI to be at or above the overbought threshold (default 70), suggesting exhaustion of buying pressure. These filters can be disabled for traders who prefer unfiltered Donchian breakout signals. BBWP Volatility Monitoring Bollinger Band Width Percentile measures current volatility relative to its historical range. The indicator calculates BB width and ranks it against the specified lookback period (default 252 bars, approximately one trading year). BBWP above 70% indicates elevated volatility, which may signal trend acceleration or potential reversals. BBWP below 30% indicates compressed volatility, often preceding significant moves. The information panel displays the current BBWP reading with color coding to highlight these conditions. Signal Cooldown To prevent signal clustering during extended breakout periods, a configurable cooldown prevents new signals of the same type for a specified number of bars after each signal. This ensures each signal represents a distinct trading opportunity. Visual Components The Donchian channel can display shaded bands between the upper and lower boundaries. The shading color reflects the current regime: green for bullish, magenta for bearish, and blue for neutral. This provides at-a-glance context for where price is trading within its recent range. An ADX strength bar at the bottom of the chart uses color coding: white for weak trend (ADX below 15), orange for ranging (ADX 15-24), and blue for trending (ADX above 24). This matches the trend strength display in the information panel. Price labels appear at signal locations showing the signal type and entry price. Labels are automatically cleaned up after reaching a configurable history limit to maintain chart performance. Signal candles are highlighted in blue, making it easy to identify exactly which bars generated signals when reviewing historical performance. Information Panel A compact table displays key metrics: current regime bias, trend strength classification, BBWP volatility reading, RSI level, and ADX value. Each metric is color-coded to highlight favorable or unfavorable conditions. The panel can be positioned at any corner or middle edge of the chart. An alternative label-based display anchored to the chart is also available for those who prefer that format. Trend Persistence Option By default, the regime is recalculated on every bar. An optional persistence mode changes this behavior so that the regime only changes on EMA crossovers. This reduces regime flipping during choppy conditions but may delay regime recognition during gradual trend changes. How to Use Monitor the Money Line color and information panel for current regime. In bullish regimes, focus on buy signals at the lower Donchian band as potential pullback entries. In bearish regimes, focus on sell signals at the upper band as potential short entries or exit points. Use the ADX strength indicator to gauge signal reliability. Signals during trending conditions (blue ADX bar) have historically higher success rates than signals during ranging conditions (orange bar) or weak trends (white bar). Watch BBWP for volatility context. Low BBWP readings suggest a significant move may be developing, while high readings indicate the current move may be overextended. The combination of regime awareness, Donchian breakout signals, and ADX/RSI filtering provides a structured approach to identifying trading opportunities across different market conditions. Settings Guidance The default settings work well for cryptocurrency and forex markets on intraday timeframes. For stocks or longer timeframes, consider increasing the EMA periods and Donchian lookback. The ADX threshold can be adjusted based on the typical ADX range for the traded instrument. The RSI filter levels can be relaxed (higher oversold, lower overbought) for more signals or tightened for higher-quality but less frequent signals. The cooldown period should be adjusted based on timeframe, with shorter timeframes typically requiring longer cooldown periods.
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Neural Fusion ProNeural Fusion Pro Overview Neural Fusion Pro is a multi-factor scoring system that combines numerous technical analysis methods into a single unified score. Rather than requiring traders to monitor multiple indicators separately, this system synthesizes trend strength, momentum oscillators, volume confirmation, price structure, and price action quality into one composite reading that adapts to current market conditions. The Scoring System At the heart of this indicator is a weighted scoring algorithm that produces a value between -1.0 and +1.0. Positive scores indicate bullish conditions across the measured factors, while negative scores suggest bearish conditions. The magnitude of the score reflects the strength of conviction across indicators. The score is calculated from five distinct components, each capturing a different aspect of market behavior. Users can adjust the weight given to each component based on their trading style and market preferences. Component 1: Trend Strength and Direction This component uses the Average Directional Index to measure trend strength and the Directional Movement indicators to determine trend direction. When ADX exceeds the trending threshold, indicating a directional market, the component contributes a positive score if the positive directional indicator leads, or a negative score if the negative directional indicator leads. In ranging markets where ADX is low, this component contributes minimally to avoid false trend signals. Component 2: Multi-Factor Momentum Rather than relying on a single oscillator, this component synthesizes readings from RSI, MACD histogram, Stochastic, CCI, and Rate of Change. Each oscillator is normalized to a common scale and weighted according to its reliability characteristics. RSI readings are compared against dynamic thresholds that adjust based on trend state, making the indicator more forgiving in uptrends and more demanding in downtrends. The component also includes divergence detection. When price makes a higher high but RSI makes a lower high (bearish divergence), or when price makes a lower low but RSI makes a higher low (bullish divergence), the divergence score adjusts the momentum component accordingly. Component 3: Volume Confirmation Volume provides crucial confirmation of price movements. This component analyzes On-Balance Volume relative to its moving average and measures the slope of OBV to determine whether volume is supporting the price trend. Additionally, it monitors relative volume by comparing current volume to its recent average, adding confirmation when volume spikes accompany price movements. Component 4: Price Structure and Volatility This component evaluates where price sits within the dynamic bands and considers the current volatility regime. When price is near the lower band, the component contributes a bullish score, suggesting potential support. When price is near the upper band, it contributes a bearish score, suggesting potential resistance. The volatility regime assessment uses ATR percentile ranking. Low volatility periods often precede significant moves, while extremely high volatility may indicate unsustainable conditions. Component 5: Price Action Quality This component examines the character of recent candles by tracking the ratio of bullish to bearish candles over a lookback period. Consistent bullish price action contributes a positive score, while consistent bearish action contributes negatively. This helps filter signals by confirming that price behavior aligns with other factors. Dynamic Bands The indicator plots adaptive bands around a central basis line. The basis can be configured as either a simple or exponential moving average. Band width is determined by ATR multiplied by a dynamic factor that incorporates both ADX (expanding bands in trending markets) and the Chaikin Oscillator (expanding bands during strong accumulation or distribution). These bands serve multiple purposes: they provide visual context for price position, they define signal trigger zones, and they help identify overextended conditions. Trend State Detection The indicator classifies market conditions into three states that affect signal generation and threshold levels. Strong Uptrend is identified when ADX is rising, ADX exceeds the strong trend threshold, and the positive directional indicator exceeds the negative. This state triggers the most aggressive buy settings, allowing entries on shallow pullbacks. Downtrend is identified when the negative directional indicator exceeds positive DI and ADX confirms directional movement. This state applies the most conservative buy settings, requiring deep oversold conditions before generating buy signals. Neutral applies when neither trend condition is met, using moderate threshold settings appropriate for range-bound or transitional markets. Dynamic RSI Thresholds A key innovation is the automatic adjustment of RSI thresholds based on trend state. In a strong uptrend, the buy RSI threshold might be set to 50, allowing entries when RSI merely pulls back to neutral rather than requiring oversold conditions. The sell threshold rises to 72, keeping traders in positions longer during favorable conditions. In downtrends, the buy RSI threshold drops to 25, ensuring buys only trigger on genuine capitulation. The sell threshold drops to 64, making exits easier to trigger. In neutral markets, traditional oversold and overbought levels apply, with buy triggers around RSI 30 and sell triggers around RSI 68. This adaptive approach prevents the common problem of indicators that work well in one market environment but fail in others. Dynamic Cooldown The signal cooldown period adjusts based on trend strength. During normal conditions, a standard cooldown prevents signal clustering. When ADX exceeds the strong trend threshold and is rising, indicating a powerful trend, the cooldown period extends. This helps traders stay in winning positions longer by reducing the frequency of counter-trend signals. Cascade Protection The indicator includes protection mechanisms to prevent overtrading and averaging down into losing positions. The BBWP (Bollinger Band Width Percentile) monitor tracks current volatility relative to historical levels. When BBWP exceeds a threshold, indicating a volatility spike often associated with sharp moves, all buy signals are frozen. This protects against entering during panic selloffs or blow-off tops. The consecutive buy counter tracks how many buy signals have occurred without an intervening sell. After reaching the maximum (default 3), no additional buy signals are generated until a sell occurs. This prevents the destructive pattern of repeatedly buying a declining asset. Both protection mechanisms are displayed in the information panel, allowing traders to understand why signals may or may not be firing. Signal Generation Buy signals require price to touch or penetrate the lower band, RSI to be below the dynamic threshold, and the market to be in a trending state (when that filter is enabled). Additionally, the cooldown period must have elapsed and cascade protection must not be blocking buys. Sell signals require price to touch or penetrate the upper band, RSI to be above the dynamic threshold, and the cooldown to have elapsed. Signal labels display the entry price, signal type (shallow dip, capitulation, extended, bounce sell, or neutral), and the current position in the consecutive buy count. Visual Components The indicator provides multiple layers of visual feedback. Cloud shading between the bands changes based on whether the composite score is in a buy zone or sell zone. Green clouds indicate bullish score readings, while red clouds indicate bearish readings. Background coloring reflects the overall market regime. Green background indicates a bullish regime (positive DI leadership with volume confirmation), red indicates bearish regime, and white indicates neutral conditions. An ADX bar at the bottom of the chart uses color coding: white for ranging (very low ADX), orange for flat, and blue for trending conditions. The information panel displays the composite score with color coding, current trend state, active RSI thresholds, divergence status, BBWP freeze status, buy counter, market regime, ADX value with trend indicator, current cooldown setting, and live RSI reading color-coded against the active thresholds. A debug panel can be enabled to show the individual component scores, helping users understand what is driving the composite reading. How to Use Monitor the composite score in the information panel. Readings above the buy threshold combined with price near the lower band represent potential long entries. Readings below the sell threshold with price near the upper band suggest exit opportunities. Pay attention to the trend state. In strong uptrends, be more willing to buy dips and more patient with holding positions. In downtrends, require stronger confirmation before entering and be quicker to take profits on bounces. Watch the cascade protection status. If BBWP shows frozen or the buy counter is approaching maximum, exercise additional caution regardless of other signals. Use the dynamic RSI thresholds as context. When the panel shows buy RSI threshold at 50 (strong uptrend), even a pullback to RSI 45 is a potential entry. When the threshold shows 25 (downtrend), wait for genuine capitulation conditions. Component Weight Adjustment The relative importance of each scoring component can be adjusted through the settings. The default weights emphasize trend strength (30%) and momentum (25%), with volume (20%), price structure (15%), and price action (10%) providing confirmation. For trend-following strategies, consider increasing trend and momentum weights. For mean-reversion approaches, increase the price structure weight to emphasize band position. The weights should sum to approximately 1.0 for proper score scaling. Settings Guidance The default settings are calibrated for cryptocurrency markets on lower timeframes. For traditional markets or longer timeframes, consider adjusting the ADX trending threshold (lower values for less volatile assets), the dynamic RSI levels for each trend state, and the cascade protection parameters. The Heikin Ashi option for band calculation can provide smoother bands but may introduce slight lag. The default setting uses standard price data for better real-time accuracy.
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Helix Protocol 7Helix Protocol 7 Overview Helix Protocol 7 is a trend-adaptive signal engine that automatically adjusts its buy and sell criteria based on current market conditions. Rather than using fixed thresholds that work well in some environments but fail in others, Helix detects whether the market is in a strong uptrend, neutral consolidation, or downtrend, then applies the appropriate signal parameters for each state. This adaptive approach helps traders buy dips aggressively in confirmed uptrends while requiring much stricter conditions before buying in downtrends. Core Philosophy The fundamental insight behind Helix is that the same indicator readings mean different things in different market contexts. An RSI of 45 during a strong uptrend represents a healthy pullback and buying opportunity. That same RSI of 45 during a confirmed downtrend might just be a brief pause before further decline. Helix encodes this context-awareness directly into its signal logic. The Money Line At the center of the indicator is the Money Line, which can be configured as either a linear regression line or a weighted combination of exponential moving averages. Linear regression provides a mathematically optimal fit through recent price data, while the weighted EMA option offers more responsiveness to recent price action. The slope of the Money Line determines whether the immediate price trend is bullish, bearish, or neutral, which affects the color of the bands and cloud shading. Dynamic Envelope Bands Upper and lower bands are calculated using Average True Range multiplied by a dynamic factor. When ADX indicates trending conditions, the bands automatically widen to accommodate larger price swings. The Chaikin Accumulation/Distribution indicator also influences band width, with strong accumulation or distribution causing additional band expansion. This dual adaptation helps the bands remain relevant across different volatility regimes. Trend State Detection Helix classifies market conditions into four distinct states using a combination of ADX behavior and Directional Movement analysis. Strong Uptrend requires ADX to be rising (gaining momentum), ADX value above a threshold (default 25), and the positive directional indicator exceeding the negative. This combination confirms not just that price is rising, but that the trend is strengthening. Strong Downtrend uses the same ADX requirements but with the negative directional indicator dominant. This identifies accelerating downward momentum. Weak Downtrend is detected when ADX is falling (trend losing steam) but negative DI still exceeds positive DI. This often represents the exhaustion phase of a decline. Neutral applies when none of the above conditions are met, typically during consolidation or when directional indicators are close together. Adaptive Signal Thresholds The indicator uses Fisher Transform and RSI as its primary oscillators, but the trigger levels change based on trend state. During Strong Uptrend, buy conditions are relaxed significantly. The Fisher threshold might be set to 1.0 (only slightly below neutral) and RSI to 50, allowing entries on minor pullbacks within the established trend. Sell conditions are tightened, requiring Fisher above 2.5 and RSI above 70, letting winning positions run longer. During Neutral conditions, both buy and sell thresholds return to traditional oversold and overbought levels. Fisher must reach -2.0 for buys and +2.0 for sells, with RSI requirements around 30 and 65 respectively. During Downtrend, buy conditions become very strict. Fisher must reach extreme oversold levels like -2.5 and RSI must drop below 25, ensuring buys only trigger on genuine capitulation. Sell conditions are loosened, allowing exits on any meaningful bounce. This asymmetric approach embodies the trading principle of being aggressive when conditions favor you and defensive when they do not. Band Touch Signals In addition to oscillator-based signals, Helix generates signals when price touches the dynamic bands. A touch of the lower band indicates potential support and generates a buy signal. A touch of the upper band suggests potential resistance and generates a sell signal. These band-based signals work alongside the oscillator signals, providing entries even when Fisher and RSI have not reached their thresholds. Extreme Move Detection Sometimes price moves so violently that it penetrates the bands by an unusual amount. Helix measures this penetration depth as a percentage of ATR and can flag these as "extreme" signals. Extreme signals have special properties: they can fire intra-bar (before the candle closes) to catch wick entries, they can bypass normal cooldown periods, and they can optionally bypass volatility freezes. This allows the indicator to capture panic selling events that might be missed by waiting for candle closes. Cascade Protection System A critical feature for risk management is the built-in cascade protection that prevents averaging down into oblivion. The system has two components. First, it tracks Bollinger Band Width Percentile, which measures current volatility relative to its historical range. When BBWP exceeds a threshold (default 92%), indicating a volatility spike often associated with sharp directional moves, all buy signals are temporarily frozen. This prevents entries during the most dangerous market conditions. Second, it counts consecutive buy signals without an intervening sell. After reaching the maximum (default 3), no additional buy signals are generated until a sell occurs. This absolute limit prevents the common mistake of repeatedly buying a falling asset. The protection status is displayed in the information panel, showing current BBWP level and the consecutive buy count. RSI Divergence Detection Helix includes automatic detection of RSI divergences, which often precede trend reversals. Regular bullish divergence occurs when price makes a lower low but RSI makes a higher low, suggesting weakening downside momentum. Regular bearish divergence is the opposite pattern at tops. Hidden divergences, which suggest trend continuation rather than reversal, are also detected and can be displayed optionally. Divergence lines are drawn directly on the price chart connecting the relevant pivot points. Signal Cooldown To prevent signal clustering and overtrading, a configurable cooldown period prevents new signals for a set number of bars after each signal. This ensures each signal represents a distinct trading opportunity. Visual Components The indicator provides comprehensive visual feedback. The Money Line changes color based on slope direction. The cloud shading between bands reflects trend bias. An ADX bar at the bottom of the chart uses color coding to show trend state at a glance: lime for strong uptrend, red for downtrend, white for ranging (very low ADX), orange for flat, and blue for trending but not yet strong. Price labels appear at signal locations showing the entry or exit price, the trigger type (band touch, uptrend dip, capitulation, etc.), and the current position in the consecutive buy count. The information panel displays current trend state, divergence status, BBWP freeze status, buy counter, ADX with direction arrow, DI spread, Fisher and RSI values, and the current active thresholds for buy and sell signals. A compact mode is available for mobile devices. How to Use In strong uptrends, look for buy signals on pullbacks to the Money Line or lower band. The relaxed thresholds will generate more frequent entries, which is appropriate when trend momentum is confirmed. Consider letting sell signals pass if the trend remains strong. In neutral markets, treat signals more selectively. Both buy and sell signals require significant oscillator extremes, making them higher-probability but less frequent. In downtrends, exercise extreme caution with buy signals. The strict requirements mean buys only trigger on major oversold conditions. Respect sell signals promptly, as the loosened thresholds are designed to protect capital. Always monitor the cascade protection status. If BBWP shows frozen or the buy counter is at maximum, the indicator is warning you that conditions are dangerous for new long entries. Settings Guidance The default settings are calibrated for cryptocurrency markets on 5-minute timeframes. For other assets or timeframes, consider adjusting the ADX threshold for strong trend detection (lower for less volatile assets), the Fisher and RSI thresholds for each trend state, and the BBWP freeze level based on the asset's typical volatility profile. The indicator includes a debug panel that can be enabled to show the detailed state of all conditions, useful for understanding why signals are or are not firing.
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MoneyLine CipherMoneyLine Cipher Overview MoneyLine Cipher is a trend-following indicator designed to identify high-probability entry and exit points by combining multiple technical analysis methods into a unified signal system. The indicator adapts its behavior based on current market conditions, becoming more aggressive in strong trends and more conservative in choppy or uncertain markets. Core Concept: The Money Line At the heart of this indicator is the Money Line, a linear regression line that acts as a dynamic center of price action. Unlike a simple moving average, linear regression fits a straight line through recent prices using least-squares methodology, providing a smoother representation of the underlying trend direction. The slope of this line determines whether the market is in a bullish, bearish, or neutral state. Dynamic Envelope Bands The indicator plots upper and lower bands around the Money Line using Average True Range (ATR) as the volatility measure. What makes these bands unique is their adaptive multiplier system. When the ADX (Average Directional Index) indicates a strong trend, the bands automatically widen to accommodate larger price swings and avoid premature exits. In ranging or weak trend conditions, the bands contract to provide tighter entry and exit zones. This dynamic adjustment helps the indicator perform consistently across different market environments. Trend State Detection The indicator classifies market conditions into five distinct states: Strong Uptrend, Uptrend, Neutral, Downtrend, and Strong Downtrend. This classification uses three complementary methods working together. First, the Directional Movement Index (DMI) measures the spread between positive and negative directional indicators. A large positive spread suggests bullish momentum, while a large negative spread indicates bearish pressure. Second, On-Balance Volume (OBV) confirms whether volume supports the indicated trend direction. For a Strong Uptrend classification, OBV must be rising above its moving average, confirming that buying pressure backs the price movement. Third, ADX must exceed a minimum threshold for Strong trend classifications, ensuring that only genuinely trending markets receive the Strong designation. Signal Generation Buy and sell signals are generated using Fisher Transform and Aroon indicators, but with a crucial enhancement: the trigger thresholds adjust dynamically based on the current trend state. The Fisher Transform converts price data into a Gaussian normal distribution, making turning points easier to identify. In a Strong Uptrend, the buy threshold relaxes (making buys easier to trigger) while the sell threshold tightens (making sells harder to trigger). This allows traders to stay in winning positions longer during favorable conditions. The opposite applies in downtrends, where the system becomes quick to exit and reluctant to enter long positions. The Aroon indicator measures how recently price made a new high or low within the lookback period. Combined with Fisher Transform, this dual-confirmation approach reduces false signals that might occur when using either indicator alone. Band touches also generate signals. When price reaches the lower band, a potential buy zone is identified. When price reaches the upper band, a potential sell zone is flagged. Cascade Protection System A key feature is the built-in protection against averaging down into a losing position. The system tracks consecutive buy signals and limits them to a configurable maximum (default: 3). After reaching this limit, no additional buy signals are generated until a sell signal resets the counter. This prevents the common mistake of repeatedly buying during a sustained decline. Additionally, the indicator monitors Bollinger Band Width Percentile (BBWP), which measures current volatility relative to historical volatility. When BBWP exceeds a threshold (indicating a volatility spike often associated with sharp moves), buy signals are temporarily frozen. This protects against entering during panic selloffs or blow-off tops. Extreme Move Detection Sometimes price moves so aggressively that it penetrates the bands by an unusual amount. The indicator detects these extreme moves and can generate signals even during normal cooldown periods. The logic is that an extreme band penetration represents a significant overextension that warrants attention regardless of recent signal history. These extreme signals are visually distinguished from regular signals. RSI Divergence The indicator includes RSI divergence detection as an additional confirmation tool. When price makes a lower low but RSI makes a higher low (bullish divergence), it suggests weakening downside momentum and a potential reversal. Bearish divergence (price higher high, RSI lower high) warns of potential tops. Both regular and hidden divergences are detected and marked on the chart. Signal Cooldown To prevent overtrading and signal clustering, a configurable cooldown period prevents new signals for a set number of bars after each signal. This spacing ensures that each signal represents a distinct trading opportunity rather than repeated triggers on the same price movement. Visual Display The indicator provides a comprehensive information panel showing current trend state, BBWP status, consecutive buy count, ADX reading, Fisher and Aroon values, cooldown status, and current dynamic thresholds. An ADX bar at the bottom of the chart provides quick visual reference for trend strength and direction using color coding. Signal labels display the entry or exit price along with the current buy count (for buy signals), helping traders track their position sizing. How to Use In uptrending markets, look for buy signals near the lower band, particularly when the trend state shows Uptrend or Strong Uptrend. These represent pullback opportunities within an established trend. In downtrending markets, the indicator naturally reduces buy signals and increases sell sensitivity, helping traders avoid catching falling knives. In neutral or ranging conditions, signals from both directions are generated with moderate thresholds, suitable for mean-reversion trading within the bands. Monitor the BBWP and consecutive buy counter in the info panel. If BBWP shows "FROZEN" or the buy counter approaches the maximum, exercise additional caution with new long entries. Settings Guidance The default settings are optimized for 5-minute cryptocurrency charts but can be adjusted for other timeframes and assets. Key parameters to consider adjusting include the Money Line length (shorter for more responsive, longer for smoother), ATR multiplier range (wider bands reduce signals but improve accuracy), and the various threshold values for trend classification.
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Shannon Entropy (Quant Lab)🟦 Shannon Entropy = The level of "order" or "chaos" in the market. This indicator gives you the answer to the question: "Is the market currently orderly and understandable, or is it random and chaotic?" No other classical indicator can accurately show this. The value of Entropy is between 0 and 1: ⸻ 🟩 1) Entropy = 0.0 – 0.3 → Structured, orderly, readable market During these periods, the price: • A trend forms • Ranges work clearly • Patterns (head & shoulders, flag, triangle) form smoothly • Systems like Z-score, VWAP, EMA work very cleanly • Data for modeling (algorithmic strategies, ML) is high quality Think of this region as follows: The market "works according to rules," it's easy to trade. ⸻ 🟧 2) Entropy = 0.3 – 0.7 → Normal behavior region In this region: • Neither too orderly nor too chaotic • Most systems operate at an average rate • We can say the market is healthy It is tradable; however, the conditions are not perfect. ⸻ 🟥 3) Entropy = 0.7 – 1.0 → Chaos / Noise / Manipulation region This is the MOST DANGEROUS REGION OF THE MARKET. What happens? • Prices jump randomly left and right. • Wicks increase excessively. • Fake breakouts multiply. • The win rate of strategies decreases. • Trend-following systems constantly generate "false signals." • Even mean-reversion systems are caught off guard. • ML models learn junk data during these periods. • Generally, news, liquidation cascades, and manipulation periods increase entropy. This period perfectly illustrates: "There is no logic in this market right now — it's moving randomly." Therefore, it's a period where you need to be very careful: Reduce position size. • Trade less. • Avoid unnecessary risks. • Tighten stop losses. • Don't use leverage. This is your risk alert panel. ⸻ 🔥 The real superpower Entropy gives you: Trend selection and system selection Entropy → Determines which strategy you will use. ✔ Low Entropy → Trend following or mean-reversion that works like a toy ✔ High Entropy → Even opening a trade is risky ✔ Normal Entropy → Most strategies work Building a strategy without this information is unprofessional. ⸻ 🧠 Critical summary (you can even copy and paste it as a description in TradingView): Low entropy → market is structured, patterns & trends are reliable High entropy → market is chaotic, noisy, unpredictable; avoid aggressive trading Entropy tells you if your strategy has a high chance or low chance of working ⸻ 🟦 Signals Entropy gives in practice: 🔹 Entropy is falling → The market is stabilizing → A major trend or strong move is approaching. 🔹 Entropy is rising → The market is becoming chaotic → Sudden spike, a period of trading in prayer mode, extra risk. 🔹 Low Entropy + VR > 1 + High ER → FULL TREND MARKET A true “trend paradise” period. 🔹 Low Entropy + VR < 1 + High FDI → RANGE MARKET A paradise of mean reversion. 🔹 High Entropy + High VoV → DANGEROUS PERIOD Big explosions, news, and liquidations happen here. ⸻ ⭐ IN SHORT: Entropy = an indicator of how randomly the market behaves. • 0–0.3 → regular, good, reliable market • 0.3–0.7 → normal market • 0.7–1.0 → chaotic, dangerous market It tells you at a glance whether you should trade during this period or not.
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Lead/Lag Correlation (Quant Lab)How to use it? (Briefly) • otherSymbol: The asset you think could be the leader • Example: If you are on a BTC chart → BINANCE:ETHUSDT, TOTAL3, USDT.D etc. • lagBars: • If you say 5: You are looking to see if there is a correlation between the movement of the other instrument 5 bars ago and your current movement. • In other words, is the other one leading? • corr (green/red line): • Close to +1 → strong positive correlation • Close to -1 → strong negative correlation • Close to 0 → no correlation Lead/Lag interpretation: • If the correlation is high for a specific lagBars (e.g., 0.7+): ➜ The otherSymbol you chose could be a strong "leader" for your current chart. In other words, its movement 5 bars ago is now explaining yours.
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Rolling Skewness & Kurtosis (Quant Lab)🔹 Skewness (Asymmetric Risk) • Skew > 0 (green) → Right tail heavier: • More frequent positive extreme movements • Higher probability of pump/sharp rally • Skew < 0 (red) → Left tail heavier: • Higher risk of crash, dump, liquidation • Skew ≈ 0 → Distribution is symmetrical, neither right nor left side is dominant 🔹 Excess Kurtosis (Intensity of Extreme Movements) • Kurt > 0 → Fat tails: • More extreme movements compared to a normal distribution • Increased risk of unexpected large spikes, flash moves • Kurt < 0 → Thin tail: • More “calm” distribution, fewer extreme movements This pair tells you: “Which direction could this instrument explode in right now? and has the intensity of extreme movements increased?”
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Fractal Dimension (Katz, Quant Lab)This indicator estimates the Katz Fractal Dimension of the price series over a rolling window. It computes: • L = sum of absolute price changes within the window • d = maximum distance between any point and the first point in the window • n = window length Then applies Katz’s formula: FDI = ln(n) / (ln(n) + ln(d / L)) The resulting Fractal Dimension typically lies between 1.0 and 2.0: • FDI ≈ 1.0–1.3 → Strong, directional trend (low randomness) • FDI ≈ 1.3–1.5 → Mixed / transitional behavior • FDI ≈ 1.5–2.0 → Noisy, choppy, mean-reverting / range market
Penunjuk Pine Script®
oleh akmans
Variance Ratio & Efficiency Ratio (Quant Lab)1️⃣ Variance Ratio (VR) Formula: VR ≈ Var(q-step returns) / (q × Var(1-step returns)) Interpretation: • VR ≈ 1 → The market is like a random walk; neither trend nor mean-reversion is dominant. • VR > 1 → Trend behavior is dominant. • Trend-following systems (EMA, Supertrend, breakout) work better. • VR < 1 → Mean-reversion is dominant. • Range/reversal strategies (Z-score, Bollinger fade, RSI reversal) work better. In short: • VR > 1 → Trending market • VR < 1 → Mean-reverting market This tells you: “Should I build a trend system or a mean-reversion system for this instrument?” ⸻ 2️⃣ Efficiency Ratio (ER) Formula logic: ER = |Close_now – Close_n-bars-ago| / Σ|Close_i – Close_{i+1}| In other words: • Numerator → Net movement over N bars • Denominator → Total noise over N bars Interpretation: • ER ≈ 1 → The price has moved in almost a straight line in one direction. → The trend is very efficient, noise is low. • ER ≈ 0 → The price has fluctuated a lot but hasn't gone anywhere definitively. → A complete noise/range market. This tells you: “How clear is the trend in this last N bars, and how much noise is there?” ⸻ 🔥 The intelligence provided by both together: • VR > 1 and ER is high (0.6–1.0) → ➜ Strong, high-quality trend. Golden age for trend-following. • VR > 1 but ER is low (0.2–0.4) → ➜ Trend exists but there is a lot of noise, many fake movements. • VR < 1 and ER is low → ➜ Net range / sideways market. Ideal for mean-reversion.
Penunjuk Pine Script®
oleh akmans
Rolling Z-Score (Quant Lab)What does this Z-Score measure? • src (default = close) → the value of the series you selected • len → the window you are measuring based on the average of the last few bars • Z ≈ 0 → price close to the average • Z > 2 → price 2 standard deviations above the average (extremely positive deviation) • Z < -2 → 2 standard deviations below the average (extremely negative deviation) In modern mean-reversion strategies: • Z > +2 → short / take profit candidate • Z < –2 → long / dip buy candidate
Penunjuk Pine Script®
oleh akmans
DR/IDR, fractals, break + EMA Clouds + VWAPThis indicator is a powerful, multi-layered trading tool that combines three distinct forms of market analysis—volume, trend, and opening volatility—onto a single chart. 1. Opening Range Breakout (ORB) System This is the foundation of the indicator, designed to capture the initial volatility and set key price boundaries for the trading day. Time Focus: The indicator's primary analysis is centered on a specific, user-defined time period (default is 9:30 AM to 10:30 AM New York Time). Nothing related to the ORB drawing will appear on the chart before this session starts. Wick High/Low (The Trigger): These lines track the absolute highest and lowest prices reached during the time window. They define the full extent of the initial range and are used to determine when a genuine breakout occurs. Body High/Low (The Range & Targets): These lines track the highest and lowest open/close prices of the candles within the session. This area forms the central, shaded zone, representing the core consolidation area. Range Shading: The background between the Body High and Body Low is shaded, but this visual feature only appears during the active forming time window (e.g., 9:30 AM to 10:30 AM) to maintain chart clarity. Fractals: While the range is forming, the indicator detects 5-bar Williams Fractal patterns that occur inside the range. These small triangles (▲ or ▼) highlight minor reversal points established by the early trading action. Breakout Signal: After the user-defined time window closes, the indicator waits. If a subsequent candle's price moves above the Wick High or below the Wick Low, a "BREAK" label is displayed on that candle. It is programmed to label only the first decisive break in each direction per day. Extension Targets: When a breakout occurs, target lines are automatically projected above the Body High (for a bullish break) or below the Body Low (for a bearish break). The distance between these targets is calculated based on a user-defined fraction (e.g., 0.5 steps) of the total height of the Body Range. Line Cutoff: For tidiness, you can set a "Stop Time" (e.g., 4:00 PM) after which the ORB lines will automatically disappear. 2. EMA Clouds (Trend and Momentum) Four distinct Exponential Moving Average (EMA) clouds are plotted to provide a dynamic, multi-speed view of the market's trend and momentum. Structure: Each "Cloud" is the shaded area between two EMAs (one shorter length and one longer length). The indicator includes four customizable pairs (defaulting to common settings like 8/9, 8/14, 34/50, and 14/21). Trend Coloring: The clouds are color-coded: Bullish (Greenish): The shorter EMA is trading above the longer EMA, signaling upward momentum. Bearish (Reddish): The shorter EMA is trading below the longer EMA, signaling downward momentum. Application: These clouds are used to confirm the overall market direction or identify potential zones of support and resistance. 3. Volume-Weighted Average Price (VWAP) The VWAP is a crucial anchor for measuring the market's efficiency throughout the trading day. Function: It calculates the average price of the asset, giving more weight to prices where higher volume was traded. Context: It helps traders quickly determine if the current price is trading at a premium (above VWAP) or a discount (below VWAP) relative to the day's volume. Reset: The VWAP line automatically resets at the beginning of each trading day. Customization: The VWAP line can be toggled on or off, and its color and width are fully adjustable.
Penunjuk Pine Script®
oleh ChadAnt
Standard Deviation Levels with Settlement Price and VolatilityStandard Deviation Levels with Settlement Price and Volatility. This indicator plots the standard deviation levels based on the settlement price and the implied volatility. It works for all Equity Stocks and Futures. For Futures Symbol Volatility Symbol (Implied Volatility) NQ VXN ES VIX YM VXD RTY RVX CL OVX GC GVZ BTC DVOL The plot gives you an ideas that the price has what probability staying in the range of 1SD,2SD,3SD ( In normal distribution method) Please provide the feedback or comments if you find any improvements
Penunjuk Pine Script®
oleh ASstocks
In-Range Rolling SL In-Range Rolling SL Indicator Guide The In-Range Rolling SL indicator is a dynamic stop-loss system designed for intraday trading that identifies squeeze conditions and trade entry opportunities based on rolling price windows. Core Concept The indicator analyzes the highest high and lowest low over a defined lookback period (default: 2 candles) to establish an "in-range" zone. When price stays within this range without breaking either boundary, it creates a squeeze condition—signaling potential breakout opportunities. Trading Strategy Wait for the Squeeze Setup The most effective approach is to wait for the in-range stop-loss squeeze to form. This occurs when both the long SL (green line) and short SL (red line) are active simultaneously, indicated by the yellow status dot (🟡) in the indicator table. Analyze the wick high/close relationship against the in-range SL while price remains compressed—this setup identifies which side is more likely to break first. Entry Timing and Risk Management Long Entry: Enter when a candle closes above the in-range short SL (red line) without any wick above it. This "perfect breakout candle" confirms bullish momentum. Your entry should be around the region, with your stop-loss placed just below the top of the breakout candle's high. Short Entry: Enter when a candle closes below the in-range long SL (green line). The stop-loss for short trades should be set 34.26 points above your entry for appropriate risk protection. Risk-Reward Considerations If you enter at the low of a breakout candle, expect only 8.26 points of drawdown potential. However, if you accidentally go long and your stop gets hit, you'll experience the full in-range stop-loss distance as your loss. Advanced Techniques Failed Breakout Trap: If a follow-up candle doesn't make a higher high after the initial breakout, consider adding a "winner" for compensation rather than holding for a trap. When your buy-stop sits on top of the breakout candle high, this isn't a valid long trade setup. Flip Trade Opportunity: In-range stop-loss attempts to flip often provide ideal entry points. If the up candle doesn't break the previous low, this validates the long continuation. Long Scalp Trading: A failed long scalp can be traded if you missed the initial market open down-up-down trend. With a stop-loss of 34 points and potential profit exceeding 50 points, this provides favorable risk-reward ratios. Sustained Loss Management: Stop-loss for long positions should target 26 points maximum loss. The indicator automatically invalidates stop-losses when price violates them, keeping your chart clean for the next setup. ------------------------- In-Range Rolling SL Indicator Guide The In-Range Rolling SL indicator is a dynamic stop-loss system designed for intraday trading that identifies squeeze conditions and breakout opportunities based on rolling price windows. How the Indicator Works The indicator tracks the highest high and lowest low over your selected lookback period (default: 2 candles) to establish dynamic support and resistance levels. These levels create an "in-range" zone that adapts as new price action develops. Visual Components Green Line (Long SL): The rolling window's lowest low - your stop-loss level for long positions Red Line (Short SL): The rolling window's highest high - your stop-loss level for short positions Status Indicators: 🟡 Yellow: Squeeze condition (both SLs active) 🟢 Green: Long-only setup 🔴 Red: Short-only setup ⚪ White: Neutral (no active SLs) The Squeeze Setup Strategy Step 1: Wait for the Squeeze The most effective way to use the In-Range Rolling SL is to wait for the in-range stop-loss squeeze to form. During the squeeze, both the green and red lines are active, meaning price has stayed within the rolling window without breaking either boundary. This compression phase indicates that it's "go time" to prepare your trade. While in the squeeze, analyze the wick high/close relationship against the in-range SL levels. This analysis helps you determine which side is more likely to split when the breakout occurs. Step 2: Identify the Perfect Breakout Long Breakout: A perfect breakout candle should close above the in-range stop-loss high (red line) without any wick above it. This clean breakout demonstrates strong momentum and reduces the risk of a false breakout. Short Breakout: Look for a candle that closes below the in-range SL low (green line), indicating a short-side trade is coming up. Step 3: Entry Execution Long Entry: Your entry should be around the region of the breakout. Position your stop-loss just below the top of the breakout candle's high. This placement protects you from failed breakouts while giving the trade room to develop. Short Entry: Enter as the candle closes below the in-range SL low. The stop-loss for short-side trades is typically 34.26 points of potential loss based on the indicator's measurements. Risk-Reward Analysis Entry at Breakout Low If you enter here at the low of the breakout candle, you're looking at only 8.26 points of drawdown potential. This represents your best-case entry scenario. Accidental Wrong-Side Entry However, if you accidentally go long here and your stop gets hit, you'll experience the full in-range stop-loss distance as your loss. This emphasizes the importance of waiting for clear breakout confirmation. Long Scalp Opportunity A failed long scalp can be traded here if you missed the market open down-up-down trend. With a stop-loss of 34 points and potential profit greater than 50 points, this setup offers a favorable risk-reward ratio of approximately 1:1.5. Advanced Trade Management Failed Breakout Recognition Follow-Up Candle Validation: If a follow-up candle did not make a higher high than the breakout candle, this could be a trap. Your buy-stop on top of the breakout candle high is not a valid long trade setup in this scenario. Consider adding a "winner" for compensation rather than holding through the potential reversal. Flip Trade Opportunities In-range stop-loss tries to flip to the other side often provide excellent entries. If the up candle did not break the previous low, this validates the long continuation and suggests the squeeze is resolving to the upside. Sustained Position Management Stop-Loss Guidelines: Stop-loss for long positions should be 26 points of maximum loss. The indicator table displays the delta (Δ) showing your real-time distance to the active stop-loss, helping you manage risk dynamically. Entry Timing: Your entry should be around the region where the breakout confirms, rather than chasing price after a large move. In order to prepare your trade, position your stop-loss on top of the breakout candle's high for long trades. Practical Example from the Chart Looking at the MNQ1! chart, you can see multiple squeeze formations throughout the session. The most notable sequence shows: An initial downtrend creating a squeeze setup A perfect breakout candle closing above the red line without upper wick The subsequent candle validating the move Later, a failed breakout attempt that created a short opportunity Multiple flip attempts that provided re-entry points for scalpers The indicator's table in the top-right continuously updates with the current SL levels, gap size, candle size, and delta values - giving you all the information needed to assess each trade's risk-reward profile in real-time.
Penunjuk Pine Script®
oleh DeLeBlanc
SCOTTGO Advanced MACD🌟 Custom MACD: Enhanced Visuals & Crossover Signals This indicator is a highly customized version of the traditional Moving Average Convergence Divergence (MACD) oscillator, designed to provide clear, immediate visual confirmation of signal line crossovers and zero-line crossings. Core Features: MACD Crossover Shadow Fill: The area between the MACD line and the Signal line is filled with a customizable shadow. This instantly visualizes whether the MACD is above (bullish crossover) or below (bearish crossover) the Signal line. Signal Crossover Markers (Arrows & Dots): Crossover Dot: A small, configurable solid dot is plotted exactly at the point where the MACD and Signal lines intersect, providing pinpoint accuracy for the crossover event. Crossover Arrows: Customizable up (green) and down (red) arrows are plotted using a small numerical offset from the crossover point, ensuring visibility without cluttering the indicator lines. Zero-Line Crossing Markers: Distinct, small markers (circles/diamonds) are used to signal when the MACD line crosses the zero line, indicating a shift in momentum relative to the baseline. Customizable MA Type: The user can select either Exponential Moving Average (EMA) or Simple Moving Average (SMA) for both the MACD oscillator calculation and the signal line calculation. This indicator is ideal for traders who rely on MACD crossovers and require precise, configurable visual feedback directly on the chart.
Penunjuk Pine Script®
oleh SCOTTGO
Liquidity Sweep + FVG Entry Model//@version=5 indicator("Liquidity Sweep + FVG Entry Model", overlay = true, max_labels_count = 500, max_lines_count = 500) // Just to confirm indicator is loaded, always plot close: plot(close, color = color.new(color.white, 0)) // ───────────────────────────────────────────── // PARAMETERS // ───────────────────────────────────────────── len = input.int(5, "Liquidity Lookback") tpMultiplier = input.float(2.0, "TP Distance Multiplier") // ───────────────────────────────────────────── // LIQUIDITY SWEEP DETECTION // ───────────────────────────────────────────── lowestPrev = ta.lowest(low, len) highestPrev = ta.highest(high, len) sweepLow = low < lowestPrev and close > lowestPrev sweepHigh = high > highestPrev and close < highestPrev // Plot liquidity levels plot(lowestPrev, "Liquidity Low", color = color.new(color.blue, 40), style = plot.style_line) plot(highestPrev, "Liquidity High", color = color.new(color.red, 40), style = plot.style_line) // ───────────────────────────────────────────── // DISPLACEMENT DETECTION // ───────────────────────────────────────────── bullDisp = sweepLow and close > open and close > close bearDisp = sweepHigh and close < open and close < close // ───────────────────────────────────────────── // FAIR VALUE GAP (FVG) // ───────────────────────────────────────────── bullFVG = low > high bearFVG = high < low // we’ll store the last FVG lines var line fvgTop = na var line fvgBottom = na // clear old FVG lines when new one appears if bullFVG or bearFVG if not na(fvgTop) line.delete(fvgTop) if not na(fvgBottom) line.delete(fvgBottom) // Bullish FVG box if bullFVG fvgTop := line.new(bar_index , high , bar_index, high , extend = extend.right, color = color.new(color.green, 60)) fvgBottom := line.new(bar_index , low, bar_index, low, extend = extend.right, color = color.new(color.green, 60)) // Bearish FVG box if bearFVG fvgTop := line.new(bar_index , low , bar_index, low , extend = extend.right, color = color.new(color.red, 60)) fvgBottom := line.new(bar_index , high, bar_index, high, extend = extend.right, color = color.new(color.red, 60)) // ───────────────────────────────────────────── // ENTRY, SL, TP CONDITIONS // ───────────────────────────────────────────── var line slLine = na var line tp1Line = na var line tp2Line = na f_deleteLineIfExists(line_id) => if not na(line_id) line.delete(line_id) if bullDisp and bullFVG sl = low tp1 = close + (close - sl) * tpMultiplier tp2 = close + (close - sl) * (tpMultiplier * 1.5) f_deleteLineIfExists(slLine) f_deleteLineIfExists(tp1Line) f_deleteLineIfExists(tp2Line) slLine := line.new(bar_index, sl, bar_index + 1, sl, extend = extend.right, color = color.red) tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1, extend = extend.right, color = color.green) tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2, extend = extend.right, color = color.green) label.new(bar_index, close, "BUY Entry FVG Retest SL Below Sweep", style = label.style_label_up, color = color.new(color.green, 0), textcolor = color.white) if bearDisp and bearFVG sl = high tp1 = close - (sl - close) * tpMultiplier tp2 = close - (sl - close) * (tpMultiplier * 1.5) f_deleteLineIfExists(slLine) f_deleteLineIfExists(tp1Line) f_deleteLineIfExists(tp2Line) slLine := line.new(bar_index, sl, bar_index + 1, sl, extend = extend.right, color = color.red) tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1, extend = extend.right, color = color.green) tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2, extend = extend.right, color = color.green) label.new(bar_index, close, "SELL Entry FVG Retest SL Above Sweep", style = label.style_label_down, color = color.new(color.red, 0), textcolor = color.white)
Penunjuk Pine Script®
oleh Acoounts19071
Volatility Value BandsThis indicator is a modern adaptation of Mark Helweg's original Value Charts concept, focused on visually displaying volatility zones and "extreme value" areas directly on the price chart. It does not replicate the original work but draws inspiration from the logic of normalizing price by volatility to highlight statistically stretched regions. 1. Introduction This study displays three lines directly on the chart: - a central reference line (base), - an upper overvaluation band, - and a lower undervaluation band. The bands are calculated from the relationship between price, moving average, and volatility (via true range/ATR), following Mark Helweg's Value Charts concept but with a custom implementation and adjustable parameters for different assets and timeframes. This allows objectively visualizing when price is in a statistically extended region relative to its recent behavior. 2. Key Features - Volatility-normalized base The indicator converts price deviation into "value units" using a combination of moving average and smoothed volatility (true range/ATR), making levels comparable across different assets and time horizons. - Auto-adjusting limits (optional) An automatic mode can calculate upper and lower limits from recent value unit extremes, using a configurable sampling window and percentile, allowing bands to adapt to the current volatility regime without manual recalibration. - Direct plot on price chart The three lines (central, upper, and lower) are drawn directly on the main asset chart (`overlay`), making it easy to read context: it's clear when price "touches" or breaks the volatility bands without switching to a separate pane. - Flexible parameters Users can control: - base moving average period (length) - volatility factor (manual or automatic) - independent windows for volatility and limits calculation - limits mode (auto or manual) and percentile used This allows adapting behavior to different markets (stocks, indices, forex, crypto). 3. How to Use - Basic interpretation - When price approaches or exceeds the upper band, it indicates a statistically overvalued zone where the asset is stretched upward relative to recent volatility. - When price approaches or exceeds the lower band, it indicates a statistically undervalued zone. - The central line serves as a reference for recent "average value," derived from the base moving average. - Recommended initial setup - Choose the Value Chart period (e.g., 144 bars) for the base. - Enable automatic limits mode for coherent bands matching the asset's volatility. - Adjust the limits window and percentile for tighter bands (more signals) or wider bands (fewer but more extreme). - Best practices - Use bands as context filters, not standalone buy/sell signals. Combine with trend, market structure, or other confirmation indicators. - Avoid decisions solely because price touched a band; in strong trends, price can "walk the edge" for extended periods. - Always follow TradingView community rules when publishing: clearly state in the description that the study is "inspired by Mark Helweg's Value Charts concept," without claiming official status, reproducing proprietary code, or violating copyrights.
Penunjuk Pine Script®
oleh destrobr0685
MorphWave Bands [JOAT]MorphWave Bands - Adaptive Volatility Envelope System MorphWave Bands create a dynamic price envelope that automatically adjusts its width based on current market conditions. Unlike static Bollinger Bands, this indicator blends ATR and standard deviation with an efficiency ratio to expand during trending conditions and contract during consolidation. What This Indicator Does Plots adaptive upper and lower bands around a customizable moving average basis Automatically adjusts band width using a blend of ATR and standard deviation Detects volatility squeezes when bands contract to historical lows Highlights breakouts when price moves beyond the bands Provides squeeze alerts for anticipating volatility expansion Adaptive Mechanism The bands adapt through a multi-step process: // Blend ATR and Standard Deviation blendedVol = useAtrBlend ? (atrVal * 0.6 + stdVal * 0.4) : stdVal // Normalize volatility to its historical range volNorm = (blendedVol - volLow) / (volHigh - volLow) // Create adaptive multiplier adaptMult = baseMult * (0.5 + volNorm * adaptSens) This creates bands that respond to market regime changes while maintaining stability. Squeeze Detection A squeeze is identified when band width drops below a specified percentile of its historical range: Background highlighting indicates active squeeze conditions Low percentile readings suggest compressed volatility Squeeze exits often precede directional moves Inputs Overview Band Length — Period for basis calculation (default: 20) Base Multiplier — Starting band width multiplier (default: 2.0) MA Type — Choose from SMA, EMA, WMA, VWMA, or HMA Adaptation Lookback — Historical period for normalization (default: 50) Adaptation Sensitivity — How much bands respond to volatility changes Squeeze Threshold — Percentile below which squeeze is detected Dashboard Information Current trend direction relative to basis and bands Band width percentage Squeeze status (Active or None) Efficiency ratio Current adaptive multiplier value How to Use It Look for squeeze conditions as potential precursors to breakouts Use band touches as dynamic support/resistance references Monitor breakout signals when price closes beyond bands Combine with momentum indicators for directional confirmation Alerts Upper/Lower Breakout — Price exceeds band boundaries Squeeze Entry/Exit — Volatility compression begins or ends Basis Crosses — Price crosses the center line This indicator is provided for educational purposes. It does not constitute financial advice. — Made with passion by officialjackofalltrades
Penunjuk Pine Script®
oleh officialjackofalltrades
Emmanuel Optuma Bar Colors v2This script colours TradingView’s Bar Chart to follow a simple, powerful bar-type logic used in Optuma-style analysis. It makes the chart easier to read by showing the relationship between: Up bars Down bars Outside bars Inside bars 🔍 Bar Type Detection Up Bar Close > Previous close → Indicates upward strength → Coloured Green Down Bar Close < Previous close → Indicates downward pressure → Coloured Red Outside Bar High > Previous high and Low < Previous low → Market expands its range → Coloured Blue Inside Bar High < Previous high and Low > Previous low → Market contracts inside the previous bar → Follows previous bar’s colour 🎨 Colour Rules Summary Bar Type Colour Meaning Up Bar 🟩 Green Bullish pressure Down Bar 🟥 Red Bearish pressure Outside Bar 🔵 Blue Range expansion, bar resets structure Inside Bar Same as previous bar Market indecision, continuation 🧠 Inside Bar Logic (Very Important) Inside bars always copy the colour of the previous bar, which means: If the previous bar was Green → inside bar becomes Green If the previous bar was Red → inside bar becomes Red If the previous bar was Blue → inside bar becomes Blue This keeps the structure visually consistent and easy to read. 📈 Why This Helps Traders This approach makes it easier to see: ✔ Trend continuation Inside bars keep the trend colour, making swings clearer. ✔ Trend weakness Inside bars after outside bars show contraction. ✔ Breakouts Blue outside bars stand out as moments of range expansion. ✔ Market rhythm The chart becomes easier to follow for beginners and advanced traders. 🧩 How to Use It Set chart type to Bars Add the script Hide default colours (barcolor replaces them) This instantly transforms TradingView into a teaching-friendly chart like Optuma.
Penunjuk Pine Script®
oleh madue2014
Unmitigated MTF High Low - Cave Diving Plot IntroductionThe Unmitigated MTF High Low - Cave Diving Plot is a multi-timeframe (MTF) indicator designed for NQ and ES futures traders who want to identify high-probability entry and exit zones based on unmitigated price levels. The "Cave Diving" visualization helps you navigate between support (floor) and resistance (ceiling) zones, while the integrated Strat analysis provides directional context. Who Is This For? Futures traders (NQ, ES) trading during ETH and RTH sessions Scalpers and day traders looking for precise entry/exit levels Traders using The Strat methodology for directional analysis Anyone seeking confluence between price action and key levels Core Concepts 1. Unmitigated Level: An unmitigated level is a price high or low that has been created but not yet tested (touched) by price. These levels act as magnets - price often returns to test them.Key Properties: Resistance (Highs): Price has created a high but hasn't revisited it Support (Lows): Price has created a low but hasn't revisited it Mitigation: When price touches a level, it becomes "mitigated" and loses strength 2. The Cave Diving MetaphorThink of trading as cave diving between two zones: ┌─────────────────────────────────┐ │ CEILING (Upper Band) │ ← 1st & 2nd Unmitigated Highs │ 🟥 Resistance Zone │ ├─────────────────────────────────┤ │ │ │ THE TUNNEL │ ← Price navigates here │ (Trading Channel) │ │ │ ├─────────────────────────────────┤ │ 🟢 Support Zone │ │ FLOOR (Lower Band) │ ← 1st & 2nd Unmitigated Lows └─────────────────────────────────┘ Trading Concept: Ceiling: Formed by the 1st and 2nd most recent unmitigated highs Floor: Formed by the 1st and 2nd most recent unmitigated lows Tunnel: The space between ceiling and floor where price operates Cave Diving: Navigating between these zones for entries and exits 3. Session-Based Age TrackingLevels are tracked by session age: Session: 6:00 PM to 5:00 PM NY time (23-hour window) Age 0: Created in the current session (today) Age 1: Created 1 session ago (yesterday) Age 2+: Older levels (more significant) Why Age Matters: Older unmitigated levels are typically stronger magnets Fresh levels (Age 0) may be weaker and easier to break Age 2+ levels often provide high-probability reversal zones Indicator Components Visual Elements 1. Colored Bands (Cave Zones)Upper Band (Pink/Maroon - 95% transparency) Space between 1st and 2nd unmitigated highs Acts as resistance zone Price often hesitates or reverses here Lower Band (Teal - 95% transparency) Space between 1st and 2nd unmitigated lows Acts as support zone Price often finds buyers here 2. Information Table Located in your chosen corner (default: Bottom Right), the table displays: 5 most recent unmitigated highs (top section) Tunnel row (middle separator) 5 most recent unmitigated lows (bottom section) Reading the TableTable Structure ┌────────┬──────────┬────────┬───────┐ │ Level │ $ │ Points │ Age │ ├────────┼──────────┼────────┼───────┤ │ ↑↑↑↑↑ │ 21,450.25│ +45.30 │ 3 │ ← 5th High (oldest) │ ↑↑↑↑ │ 21,425.50│ +32.75 │ 2 │ ← 4th High │ ↑↑↑ │ 21,410.00│ +25.00 │ 1 │ ← 3rd High │ ↑↑ │ 21,400.75│ +18.50 │ 1 │ ← 2nd High │ ↑ │ 21,395.25│ +12.00 │ 0 │ ← 1st High (newest) ├────────┼──────────┼────────┼───────┤ │ Tunnel │ 🟢 │ Δ 85.50│ 2U │ ← Current State ├────────┼──────────┼────────┼───────┤ │ ↓ │ 21,310.00│ -15.25 │ 0 │ ← 1st Low (newest) │ ↓↓ │ 21,295.50│ -22.75 │ 1 │ ← 2nd Low │ ↓↓↓ │ 21,280.25│ -30.00 │ 1 │ ← 3rd Low │ ↓↓↓↓ │ 21,265.75│ -38.50 │ 2 │ ← 4th Low │ ↓↓↓↓↓ │ 21,250.00│ -45.00 │ 3 │ ← 5th Low (oldest) └────────┴──────────┴────────┴───────┘Column Breakdown Column 1: Level (Arrows) Green arrows (↑): Resistance levels above current price Red arrows (↓): Support levels below current price Arrow count: Indicates recency (1 arrow = newest, 5 arrows = oldest) Why This Matters: More arrows = older level = stronger magnet for price Column 2: $ (Price) Exact price of the unmitigated level Use this for limit orders and stop placement Column 3: Points (Distance) Positive (+) for highs: Points above current price Negative (-) for lows: Points below current price Helps gauge proximity to key levels Trading Application: If you're +2.50 points from resistance, a reversal may be imminent If you're -45.00 points from support, you're far from the floor Column 4: Age (Sessions) Number of full 6pm-5pm sessions the level has survived Age 0: Created today (current session) Age 1+: Created in previous sessions Significance Ladder: Age 0: Weak, may break easily Age 1-2: Medium strength Age 3+: Strong, high-probability reaction zone Tunnel Row (Critical Information)│ Tunnel │ 🟢 │ Δ 85.50│ 2U │ └─┬─┘ └─┬─┘ └──┬──┘ └─┬─┘ │ │ │ │ Label Direction Range Strat 1. Tunnel Label: Identifies the separator row 2. Direction Indicator (🟢/🔴) 🟢 Green Circle: Current 15m bar closed bullish (above previous close) 🔴 Red Circle: Current 15m bar closed bearish (below previous close) 3. Δ (Delta/Range) Distance in points between 1st High and 1st Low Shows the tunnel width (trading range) Example: Δ 85.50 = 85.50 points between ceiling and floor Trading Use: Wide tunnel (>100 points): More room to trade, consider range strategies Narrow tunnel (<50 points): Tight range, expect breakout 4. Strat Pattern 1: Inside bar (consolidation) 2U: 2 Up (bullish directional bar) 2D: 2 Down (bearish directional bar) 3: Outside bar (expansion/volatility) Color Coding: Green: 2U (bullish) Red: 2D (bearish) Yellow: 3 (expansion) Gray: 1 (inside/neutral)
Penunjuk Pine Script®
oleh DeLeBlanc
1