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VSA-Stopping Volume VSA Stopping Volume Indicator Stopping Volume occurs when candles show decreasing body sizes (narrow spreads) while volume steadily increases. Example chart: As you see: 3 consecutive candles in same direction (all green OR all red) Body sizes (spreads) decreasing progressively: Candle 1 > Candle 2 > Candle 3 Volume increasing progressively: Volume 1 < Volume 2 < Volume 3 This pattern indicates price absorption - increased buying/selling pressure but declining price movement, often signaling exhaustion and potential reversal. Indicator Features This indicator detects Stopping Volume candlestick clusters with two signal types: 🔹 BUY/SELL Signals: Generated when pattern occurs at support/resistance zones 🔹 Directional Alerts (▲-green, ▼-red): Generated when pattern occurs outside key levels Trading Guidelines: ⚠️ Auto-drawn S/R zones are reference only - manual level plotting recommended for accuracy 📊 Best for scalping: M5, M10, M15 timeframes 🛡️ Stop Loss: Place beyond the S/R zone you're trading 🎯 Take Profit: Based on your risk management Key Concept: Volume expansion + price contraction = potential reversal, especially at SnR levels. Perfect for scalpers looking to catch reversals at critical zones!

Penunjuk Pine Script®

oleh dangtunglam14

Trend Gauge [BullByte]Trend Gauge Summary A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status. ________________________________________ ## 1. Purpose of the Indicator Why this was built Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades. Key Design Goals Signal Aggregation Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically. Market Regime Awareness Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts. Magnitude-Based Scaling Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength. Momentum Divergence Penalty Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries. Confidence Transparency Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable. Momentum Acceleration Visualization Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making. Compact Informational Dashboard Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment. ________________________________________ ## 2. Why a Trader Should Use It Main benefits and use cases 1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals. 2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts. 3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized. 4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal. 5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions. 6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator. 7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts. 8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic. 9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications. ________________________________________ ## 3. Component Rationale (“Why These Specific Indicators?”) Each sub-component was chosen because it adds complementary information about trend or momentum: 1. EMA Cross o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets. 2. VWMA Momentum o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum. 3. Volume Spikes o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars. 4. ATR Breakout o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal. 5. Higher-Timeframe EMA Alignment o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases. 6. ADX Regime Filter (Manual Calculation) o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired). 7. RSI Pivot-Divergence Penalty o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise. 8. Confidence Meter o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals. 9. Δ Score Momentum View o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator. 10. Dashboard • A table in the indicator pane’s top-right with 11 rows: 1. EMA Cross status 2. VWMA Momentum status 3. Volume Spike status 4. ATR Breakout status 5. Higher-Timeframe Trend status 6. Score (numeric) 7. Confidence % 8. Regime (“Trending” or “Ranging”) 9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”) 10. Gauge bar visually representing score magnitude • All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency. ________________________________________ ## 4. What Makes This Indicator Stand Out • Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals. • Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1. • Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time. • Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric. • Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early. • Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts. • Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias. • Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear. • Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips. • Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations. ________________________________________ ## 5. Recommended Timeframes & Tuning • Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However: o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence. o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart). • Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust: o ADX threshold (e.g., 20–30) based on instrument volatility. o VWMA and ATR scaling lengths to match average volatility cycles. o Pivot lookback for divergence: shorter for faster markets, longer for slower ones. • Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor. ________________________________________ ## 6. How Scoring and Logic Works (Step-by-Step) 1. Compute Sub-Scores o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0. o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to . o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0. o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low. o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment. 2. ADX Regime Weighting o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.” o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired). 3. Aggregate Raw Score o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero. 4. Divergence Penalty o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:  If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).  If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty. o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright. 5. Normalize and Smooth o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range. o Optional EMA smoothing of this normalized score to reduce noise. 6. Interpretation o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral. o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”). o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration. o Confidence: Percentage of sub-indicators aligned with the score’s sign. o Regime: Indicates whether trend-based signals are fully weighted or down-weighted. ________________________________________ ## 7. Oscillator Plot & Visualization: How to Read It Main Score Line & Area The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds. Δ Score Histogram If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar. Divergence Highlight Fill If enabled, when a pivot-based divergence is confirmed: • Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish. • Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish. These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag. Trend Direction Label When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur. Dashboard Panel In the indicator pane’s top-right, a table shows: 1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled” 2. VWMA Momentum status: similarly 3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled” 4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled” 5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled” 6. Score: numeric value (rounded) 7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low) 8. Regime: “Trending” or “Ranging” (colored accordingly) 9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”) 10. Gauge: a bar of blocks representing |score|/100 All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny). ________________________________________ ## 8. Example Usage (Illustrative Scenario) Example: BTCUSD 5 Min 1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small. 2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment. 3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits. 4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur. 5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section. 6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right. ________________________________________ ## 9. Inputs Explanation A concise yet clear summary of inputs helps users understand and adjust: 1. General Settings • Theme (Dark/Light): Choose background-appropriate colors for the indicator pane. • Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible. 2. Indicator Settings • Enable EMA Cross: Toggle on/off basic EMA alignment check. o Fast EMA Length and Slow EMA Length: Periods for EMAs. • Enable VWMA Momentum: Toggle VWMA momentum check. o VWMA Length: Period for VWMA. o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum. • Enable Volume Spike: Toggle volume spike detection. o Volume SMA Length: Period to compute average volume. o Volume Spike Multiplier: How many times above average volume qualifies as spike. o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish. • Enable ATR Breakout: Toggle ATR breakout detection. o ATR Length: Period for ATR. o Breakout Lookback: Bars to look back for recent highs/lows. o ATR Multiplier: Multiplier for breakout threshold. • Enable Higher Timeframe Trend: Toggle HTF EMA alignment. o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off. • Enable ADX Regime Filter: Toggles regime-based weighting. o ADX Length: Period for manual ADX calculation. o ADX Threshold: Value above which market considered trending. o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5). • Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude. o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum. • Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR. o ATR Scale Cap: Maximum multiple of ATR used for breakout strength. • Enable Price-RSI Divergence: Toggle divergence detection. o RSI Length for Divergence: Period for RSI. o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low. o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5). 3. Score Settings • Smooth Score: Toggle EMA smoothing of normalized score. • Score Smoothing Length: Period for smoothing EMA. • Weak Threshold: Absolute score value under which trend is considered weak or neutral. • Medium Threshold: Score above Weak but below Medium is moderate. • Strong Threshold: Score above this indicates strong trend. 4. Visualization Settings • Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true. • Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true. Each input has a tooltip in the code. ________________________________________ ## 10. Limitations, Repaint Notes, and Disclaimers 10.1. Repaint & Lag Considerations • Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result: o Divergence labels or fills appear with a delay equal to the pivot lookback. o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag. o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed. • Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars. • No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off. 10.2. Market & Noise Considerations • In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters. • On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features. • On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals. 10.3. Not a Standalone Trading System • This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management. • Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context). • No guarantees: past behavior does not guarantee future performance. 10.4. Disclaimers • Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice. • Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management. • No Guarantees: The author is not responsible for trading outcomes based on this indicator. • License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms. ________________________________________ ## 11. Alerts • The indicator defines three alert conditions: 1. Bullish Trend: when the aggregated score crosses above the Weak threshold. 2. Bearish Trend: when the score crosses below the negative Weak threshold. 3. Neutral Trend: when the score returns within ±Weak after being outside. Good luck – BullByte

Penunjuk Pine Script®

TEMA with Slope Color [MrBuCha]This TEMA indicator is particularly useful for trend following strategies. The key innovation here is using a higher timeframe (default 1-hour) to get a broader perspective on the trend direction, while the color-coding makes it immediately obvious whether the momentum is bullish (blue) or bearish (orange). The 200-period length makes this more suitable for swing trading rather than day trading, as it filters out short-term noise and focuses on significant trend movements. // What is TEMA and How Does It Work? TEMA (Triple Exponential Moving Average) is a technical indicator that builds upon the standard EMA to reduce lag and provide faster response to price changes. The calculation process is: EMA1 = EMA of closing price with specified length EMA2 = EMA of EMA1 with the same length EMA3 = EMA of EMA2 with the same length TEMA = 3 × (EMA1 - EMA2) + EMA3 This formula helps reduce the lag inherent in smoothing calculations, making TEMA more responsive to price movements compared to other moving averages. Default Values Length: 200 periods Timeframe: "60" (1 hour) Slope Colors Blue: When TEMA is trending upward (tema_current > tema_previous) Orange: When TEMA is trending downward (tema_current ≤ tema_previous) Pros and Cons Summary Advantages: Fast Response: Reduces lag better than SMA and regular EMA Easy to Use: Color-coded slope makes trend direction immediately visible Multi-timeframe Capability: Can display TEMA from higher timeframes Trend Following: Excellent for identifying trend direction Visual Clarity: Clear color signals help with quick decision making Disadvantages: False Signals: Prone to whipsaws in sideways/choppy markets Noise in Volatility: Frequent color changes during high volatility periods Not Suitable for Scalping: Length of 200 is quite long for short-term trading Still Lagging: Despite improvements, it remains a lagging indicator Requires Confirmation: Should be used with other indicators for better accuracy Best Use Cases: Medium to long-term trend following Identifying major trend changes Multi-timeframe analysis Combine with momentum oscillators for confirmation Trading Tips: Wait for color confirmation before entering trades Use higher timeframe TEMA for overall trend bias Combine with support/resistance levels Avoid trading during consolidation periods

Penunjuk Pine Script®

PhenLabs - Market Fluid Dynamics 📊 Market Fluid Dynamics - Version: PineScript™ v6 📌 Description The Market Fluid Dynamics - Phen indicator is a new thinking regarding market analysis by modeling price action, volume, and volatility using a fluid system. It attempts to offer traders control over more profound market forces, such as momentum (speed), resistance (thickness), and buying/selling pressure. By visualizing such dynamics, the script allows the traders to decide on the prevailing market flow, its power, likely continuations, and zones of calmness and chaos, and thereby allows improved decision-making. This measure avoids the usual difficulty of reconciling multiple, often contradictory, market indications by including them within a single overarching model. It moves beyond traditional binary indicators by providing a multi-dimensional view of market behavior, employing fluid dynamic analogs to describe complex interactions in an accessible manner. 🚀 Points of Innovation Integrated Fluid Dynamics Model: Combines velocity, viscosity, pressure, and turbulence into a single indicator. Normalized Metrics: Uses ATR and other normalization techniques for consistent readings across different assets and timeframes. Dynamic Flow Visualization: Main flow line changes color and intensity based on direction and strength. Turbulence Background: Visually represents market stability with a gradient background, from calm to turbulent. Comprehensive Dashboard: Provides an at-a-glance summary of key fluid dynamic metrics. Multi-Layer Smoothing: Employs several layers of EMA smoothing for a clearer, more responsive main flow line. 🔧 Core Components Velocity Component: Measures price momentum (first derivative of price), normalized by ATR. It indicates the speed and direction of price changes. Viscosity Component: Represents market resistance to price changes, derived from ATR relative to its historical average. Higher viscosity suggests it’s harder for prices to move. Pressure Component: Quantifies the force created by volume and price range (close - open), normalized by ATR. It reflects buying or selling pressure. Turbulence Detection: Calculates a Reynolds number equivalent to identify market stability, ranging from laminar (stable) to turbulent (chaotic). Main Flow Indicator: Combines the above components, applying sensitivity and smoothing, to generate a primary signal of market direction and strength. 🔥 Key Features Advanced Smoothing Algorithm: Utilizes multiple EMA layers on the raw flow calculation for a fluid and responsive main flow line, reducing noise while maintaining sensitivity. Gradient Flow Coloring: The main flow line dynamically changes color from light to deep blue for bullish flow and light to deep red for bearish flow, with intensity reflecting flow strength. This provides an immediate visual cue of market sentiment and momentum. Turbulence Level Background: The chart background changes color based on calculated turbulence (from calm gray to vibrant orange), offering an intuitive understanding of market stability and potential for erratic price action. Informative Dashboard: A customizable on-screen table displays critical metrics like Flow State, Flow Strength, Market Viscosity, Turbulence, Pressure Force, Flow Acceleration, and Flow Continuity, allowing traders to quickly assess current market conditions. Configurable Lookback and Sensitivity: Users can adjust the base lookback period for calculations and the sensitivity of the flow to viscosity, tailoring the indicator to different trading styles and market conditions. Alert Conditions: Pre-defined alerts for flow direction changes (positive/negative crossover of zero line) and detection of high turbulence states. 🎨 Visualization Main Flow Line: A smoothed line plotted below the main chart, colored blue for bullish flow and red for bearish flow. The intensity of the color (light to dark) indicates the strength of the flow. This line crossing the zero line can signal a change in market direction. Zero Line: A dotted horizontal line at the zero level, serving as a baseline to gauge whether the market flow is positive (bullish) or negative (bearish). Turbulence Background: The indicator pane’s background color changes based on the calculated turbulence level. A calm, almost transparent gray indicates low turbulence (laminar flow), while a more vibrant, semi-transparent orange signifies high turbulence. This helps traders visually assess market stability. Dashboard Table: An optional table displayed on the chart, showing key metrics like ‘Flow State’, ‘Flow Strength’, ‘Market Viscosity’, ‘Turbulence’, ‘Pressure Force’, ‘Flow Acceleration’, and ‘Flow Continuity’ with their current values and qualitative descriptions (e.g., ‘Bullish Flow’, ‘Laminar (Stable)’). 📖 Usage Guidelines Setting Categories Show Dashboard - Default: true; Range: true/false; Description: Toggles the visibility of the Market Fluid Dynamics dashboard on the chart. Enable to see key metrics at a glance. Base Lookback Period - Default: 14; Range: 5 - (no upper limit, practical limits apply); Description: Sets the primary lookback period for core calculations like velocity, ATR, and volume SMA. Shorter periods make the indicator more sensitive to recent price action, while longer periods provide a smoother, slower signal. Flow Sensitivity - Default: 0.5; Range: 0.1 - 1.0 (step 0.1); Description: Adjusts how much the market viscosity dampens the raw flow. A lower value means viscosity has less impact (flow is more sensitive to raw velocity/pressure), while a higher value means viscosity has a greater dampening effect. Flow Smoothing - Default: 5; Range: 1 - 20; Description: Controls the length of the EMA smoothing applied to the main flow line. Higher values result in a smoother flow line but with more lag; lower values make it more responsive but potentially noisier. Dashboard Position - Default: ‘Top Right’; Range: ‘Top Right’, ‘Top Left’, ‘Bottom Right’, ‘Bottom Left’, ‘Middle Right’, ‘Middle Left’; Description: Determines the placement of the dashboard on the chart. Header Size - Default: ‘Normal’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’, ‘Huge’; Description: Sets the text size for the dashboard header. Values Size - Default: ‘Small’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’; Description: Sets the text size for the metric values in the dashboard. ✅ Best Use Cases Trend Identification: Identifying the dominant market flow (bullish or bearish) and its strength to trade in the direction of the prevailing trend. Momentum Confirmation: Using the flow strength and acceleration to confirm the conviction behind price movements. Volatility Assessment: Utilizing the turbulence metric to gauge market stability, helping to adjust position sizing or avoid choppy conditions. Reversal Spotting: Watching for divergences between price and flow, or crossovers of the main flow line above/below the zero line, as potential reversal signals, especially when combined with changes in pressure or viscosity. Swing Trading: Leveraging the smoothed flow line to capture medium-term market swings, entering when flow aligns with the desired trade direction and exiting when flow weakens or reverses. Intraday Scalping: Using shorter lookback periods and higher sensitivity to identify quick shifts in flow and turbulence for short-term trading opportunities, particularly in liquid markets. ⚠️ Limitations Lagging Nature: Like many indicators based on moving averages and lookback periods, the main flow line can lag behind rapid price changes, potentially leading to delayed signals. Whipsaws in Ranging Markets: During periods of low volatility or sideways price action (high viscosity, low flow strength), the indicator might produce frequent buy/sell signals (whipsaws) as the flow oscillates around the zero line. Not a Standalone System: While comprehensive, it should be used in conjunction with other forms of analysis (e.g., price action, support/resistance levels, other indicators) and not as a sole basis for trading decisions. Subjectivity in Interpretation: While the dashboard provides quantitative values, the interpretation of “strong” flow, “high” turbulence, or “significant” acceleration can still have a subjective element depending on the trader’s strategy and risk tolerance. 💡 What Makes This Unique Fluid Dynamics Analogy: Its core strength lies in translating complex market interactions into an intuitive fluid dynamics framework, making concepts like momentum, resistance, and pressure easier to visualize and understand. Market View: Instead of focusing on a single aspect (like just momentum or just volatility), it integrates multiple factors (velocity, viscosity, pressure, turbulence) to provide a more comprehensive picture of market conditions. Adaptive Visualization: The dynamic coloring of the flow line and the turbulence background provide immediate, adaptive visual feedback that changes with market conditions. 🔬 How It Works Price Velocity Calculation: The indicator first calculates price velocity by measuring the rate of change of the closing price over a given ‘lookback’ period. The raw velocity is then normalized by the Average True Range (ATR) of the same lookback period. Normalization enables comparison of momentum between assets or timeframes by scaling for volatility. This is the direction and speed of initial price movement. Viscosity Calculation: Market ‘viscosity’ or resistance to price movement is determined by looking at the current ATR relative to its longer-term average (SMA of ATR over lookback * 2). The further the current ATR is above its average, the lower the viscosity (less resistance to price movement), and vice-versa. The script inverts this relationship and bounds it so that rising viscosity means more resistance. Pressure Force Measurement: A ‘pressure’ variable is calculated as a function of the ratio of current volume to its simple moving average, multiplied by the price range (close - open) and normalized by ATR. This is designed to measure the force behind price movement created by volume and intraday price thrusts. This pressure is smoothed by an EMA. Turbulence State Evaluation: A equivalent ‘Reynolds number’ is calculated by dividing the absolute normalized velocity by the viscosity. This is the proclivity of the market to move in a chaotic or orderly fashion. This ‘reynoldsValue’ is smoothed with an EMA to get the ‘turbulenceState’, which indicates if the market is laminar (stable), transitional, or turbulent. Main Flow Derivation: The ‘rawFlow’ is calculated by taking the normalized velocity, dampening its impact based on the ‘viscosity’ and user-input ‘sensitivity’, and orienting it by the sign of the smoothed ‘pressureSmooth’. The ‘rawFlow’ is then put through multiple layers of exponential moving average (EMA) smoothing (with ‘smoothingLength’ and derived values) to reach the final ‘mainFlow’ line. The extensive smoothing is designed to give a smooth and clear visualization of the overall market direction and magnitude. Dashboard Metrics Compilation: Additional metrics like flow acceleration (derivative of mainFlow), and flow continuity (correlation between close and volume) are calculated. All primary components (Flow State, Strength, Viscosity, Turbulence, Pressure, Acceleration, Continuity) are then presented in a user-configurable dashboard for ease of monitoring. 💡 Note: The “Market Fluid Dynamics - Phen” indicator is designed to offer a unique perspective on market behavior by applying principles from fluid dynamics. It’s most effective when used to understand the underlying forces driving price rather than as a direct buy/sell signal generator in isolation. Experiment with the settings, particularly the ‘Base Lookback Period’, ‘Flow Sensitivity’, and ‘Flow Smoothing’, to find what best suits your trading style and the specific asset you are analyzing. Always combine its insights with robust risk management practices.

Penunjuk Pine Script®

[blackcat] L3 Dynamic Cross OVERVIEW The L3 Dynamic Cross indicator is a powerful tool designed to assist traders in identifying potential buy and sell opportunities through the use of dynamic moving averages. This versatile script offers a wide range of customizable options, allowing users to tailor the moving averages to their specific needs and preferences. By providing clear visual cues and generating precise crossover signals, it helps traders make informed decisions about market trends and potential entry/exit points 📈💹. FEATURES Multiple Moving Average Types: Simple Moving Average (SMA): Provides a straightforward average of prices over a specified period. Exponential Moving Average (EMA): Gives more weight to recent prices, making it responsive to new information. Weighted Moving Average (WMA): Assigns weights to all prices within the look-back period, giving more importance to recent prices. Volume Weighted Moving Average (VWMA): Incorporates volume data to provide a more accurate representation of price movements. Smoothed Moving Average (SMMA): Averages out fluctuations to create a smoother trend line. Double Exponential Moving Average (DEMA): Reduces lag by applying two layers of exponential smoothing. Triple Exponential Moving Average (TEMA): Further reduces lag with three layers of exponential smoothing. Hull Moving Average (HullMA): Combines weighted moving averages to minimize lag and noise. Super Smoother Moving Average (SSMA): Uses a sophisticated algorithm to smooth out price data while preserving trend direction. Zero-Lag Exponential Moving Average (ZEMA): Eliminates lag entirely by adjusting the calculation method. Triangular Moving Average (TMA): Applies a double smoothing process to reduce volatility and enhance trend identification. Customizable Parameters: Length: Adjust the period for both fast and slow moving averages to match your trading style. Source: Select different price sources such as close, open, high, or low for more nuanced analysis. Visual Representation: Fast MA: Displayed as a green line representing shorter-term trends. Slow MA: Shown as a red line indicating longer-term trends. Crossover Signals: Generate buy ('BUY') and sell ('SELL') labels based on crossover events between the fast and slow moving averages 🏷️. Clear visual cues help traders quickly identify potential entry and exit points. Alert Functionality: Receive real-time notifications when crossover conditions are met, ensuring timely action 🔔. Customizable alert messages for personalized trading strategies. Advanced Trade Management: Support for pyramiding levels allows traders to manage multiple positions effectively. Fine-tune your risk management by setting the number of allowed trades per signal. HOW TO USE Adding the Indicator: Open your TradingView chart and go to the indicators list. Search for L3 Dynamic Cross and add it to your chart. Configuring Settings: Choose your desired Moving Average Type from the dropdown menu. Adjust the Fast MA Length and Slow MA Length according to your trading timeframe. Select appropriate Price Sources for both fast and slow moving averages. Monitoring Signals: Observe the plotted lines on the chart to track short-term and long-term trends. Look for buy and sell labels that indicate potential trade opportunities. Setting Up Alerts: Enable alerts based on crossover conditions to receive instant notifications. Customize alert messages to suit your trading plan. Managing Positions: Utilize the pyramiding feature to handle multiple entries and exits efficiently. Keep track of your position sizes relative to the defined pyramiding levels. Combining with Other Tools: Integrate this indicator with other technical analysis tools for confirmation. Use additional filters like volume, RSI, or MACD to enhance decision-making accuracy. LIMITATIONS Market Conditions: The effectiveness of the indicator may vary in highly volatile or sideways markets. Be cautious during periods of low liquidity or sudden price spikes 🌪️. Parameter Sensitivity: Different moving average types and lengths can produce varying results. Experiment with settings to find what works best for your asset class and timeframe. False Signals: Like any technical indicator, false signals can occur. Always confirm signals with other forms of analysis before executing trades. NOTES Historical Data: Ensure you have enough historical data loaded into your chart for accurate moving average calculations. Backtesting: Thoroughly backtest the indicator on various assets and timeframes using demo accounts before deploying it in live trading environments 🔍. Customization: Feel free to adjust colors, line widths, and label styles to better fit your chart aesthetics and personal preferences. EXAMPLE STRATEGIES Trend Following: Use the indicator to ride trends by entering positions when the fast MA crosses above/below the slow MA and exiting when the opposite occurs. Mean Reversion: Identify overbought/oversold conditions by combining the indicator with oscillators like RSI or Stochastic. Enter counter-trend positions when the moving averages diverge significantly from the mean. Scalping: Apply tight moving average settings to capture small, quick profits in intraday trading. Combine with volume indicators to filter out weak signals.

Penunjuk Pine Script®

oleh blackcat1402

Triple EMA + Volume/Price Signals Overview This script merges three exponential moving averages (EMA) with adaptive volume thresholds to identify high-confidence trends. Unlike basic volume indicators, it triggers signals only when volume exceeds both a user-defined absolute value (e.g., 500k) and a percentage increase (e.g., 5%) – reducing noise in volatile markets. Key Features Triple EMA System: Short (9), Medium (21), and Long (50) EMAs for trend direction. Bullish Signal: Short EMA > Medium EMA > Long EMA. Bearish Signal: Short EMA < Medium EMA < Long EMA. Dual-Threshold Volume Confirmation: Absolute Volume: Highlight bars where volume exceeds X (e.g., 500,000). Percentage Increase: Highlight bars where volume rises by Y% (e.g., 5%) vs. prior bar. Users can enable/disable either threshold. Customizable Alerts: Trigger alerts only when both EMA alignment and volume conditions are met. How It Works Trend + Volume Synergy: A bullish EMA crossover alone might be a false breakout. This script requires additional volume confirmation (e.g., 500k volume + 5% spike) to validate the move. Flexibility: Adjust thresholds for different assets: Stocks: Higher absolute volume (e.g., 1M shares). Crypto: Smaller absolute volume but larger % spikes (e.g., 10%). Usage Examples Swing Trading: Set EMA lengths to 20/50/200 and volume thresholds to 500k + 5% on daily charts. Scalping: Use 5/13/21 EMAs with 100k volume + 3% spikes on 5-minute charts.

Penunjuk Pine Script®

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MLB Momentum Indicator MLB Momentum Indicator is a no‐lookahead technical indicator designed to signal intraday trend shifts and potential reversal points. It combines several well‐known technical components—Moving Averages, MACD, RSI, and optional ADX & Volume filters—to deliver high‐probability buy/sell signals on your chart. Below is an overview of how it works and what each part does: 1. Moving Average Trend Filter The script uses two moving averages (fast and slow) to determine the primary trend: isUpTrend if Fast MA > Slow MA isDownTrend if Fast MA < Slow MA You can select the MA method—SMA, EMA, or WMA—and customize lengths. Why it matters: The indicator only gives bullish signals if the trend is up, and bearish signals if the trend is down, helping avoid trades that go against the bigger flow. 2. MACD Confirmation (Momentum) Uses MACD (with user‐defined Fast, Slow, and Signal lengths) to check momentum: macdBuySignal if the MACD line crosses above its signal line (bullish) macdSellSignal if the MACD line crosses below its signal line (bearish) Why it matters: MACD crossovers confirm an emerging momentum shift, aligning signals with actual price acceleration rather than random fluctuation. 3. RSI Overbought/Oversold Filter RSI (Relative Strength Index) is calculated with a chosen length, plus Overbought & Oversold thresholds: For long signals: the RSI must be below the Overbought threshold (e.g. 70). For short signals: the RSI must be above the Oversold threshold (e.g. 30). Why it matters: Prevents buying when price is already overbought or shorting when price is too oversold, filtering out possible poor‐risk trades. 4. Optional ADX Filter (Trend Strength) If enabled, ADX must exceed a chosen threshold (e.g., 20) for a signal to be valid: This ensures you’re only taking trades in markets that have sufficient directional momentum. Why it matters: It weeds out choppy, sideways conditions where signals are unreliable. 5. Optional Volume Filter (High‐Participation Moves) If enabled, the indicator checks whether current volume is above a certain multiple of its moving average (e.g., 1.5× average volume). Why it matters: High volume often indicates stronger institutional interest, validating potential breakouts or reversals. 6. ATR & Chandelier (Visual Reference) For reference only, the script can display ATR‐based stop levels or a Chandelier Exit line: ATR (Average True Range) helps gauge volatility and can inform stop‐loss distances. Chandelier Exit is a trailing stop technique that adjusts automatically as price moves. Why it matters: Though this version of the script doesn’t execute trades, these lines help you see how far to place stops or how to ride a trend. 7. Final Bullish / Bearish Signal When all conditions (trend, MACD, RSI, optional ADX, optional Volume) line up for a long, a green “Long” arrow appears. When all conditions line up for a short, a red “Short” arrow appears. Why it matters: You get a clear, on‐chart signal for each potential entry, rather than needing to check multiple indicators manually. 8. Session & Date Filtering The script allows choosing a start/end date and an optional session window (e.g. 09:30–16:00). Why it matters: Helps limit signals to a specific historical backtest range or trading hours, which can be crucial for day traders (e.g., stock market hours only). Putting It All Together Primary Trend → ensures you trade in line with the bigger direction. MACD & RSI → confirm momentum and avoid overbought/oversold extremes. ADX & Volume → optional filters for strong trend strength & genuine interest. Arrows → each potential buy (Long) or sell (Short) signal is clearly shown on your chart. Use Cases 5‐Minute Scalping: Shorter RSI/MACD lengths to catch small, frequent intraday moves. Swing Trading: Larger MAs, bigger RSI thresholds, and using ADX to filter only major trends. Cautious Approach: Enable volume & ADX filters to reduce false signals in choppy markets. Benefits & Limitations Benefits: Consolidates multiple indicators into one overlay. Clear buy/sell signals with optional dynamic volatility references. Flexible user inputs adapt to different trading styles/timeframes. Limitations: Like all technical indicators, it can produce false signals in sideways or news‐driven markets. Success depends heavily on user settings and the particular market’s behavior. Summary The MLB Momentum Indicator combines a trend filter (MAs), momentum check (MACD), overbought/oversold gating (RSI), and optional ADX/Volume filters to create clear buy/sell arrows on your chart. This approach encourages trading in sync with both trend and momentum, and helps avoid suboptimal entries when volume or trend strength is lacking. It can be tailored to scalp micro‐moves on lower timeframes or used for higher‐timeframe swing trading by adjusting the input settings.

Penunjuk Pine Script®

oleh digitalsolomon_com

High and Low with Horizontal Table High and Low with Horizontal Table Indicator Overview The "High and Low with Horizontal Table" indicator is designed for traders who wish to monitor key levels based on specific candle times, along with dynamic risk-to-reward ratios and ATR-based values. This indicator features real-time calculations, visual cues, and a table for quick reference of the calculated values. Key Features Custom Time Inputs: Users can define two specific time inputs to select the candles for the High and Low prices. These times can target the same or separate candles. ATR-based Calculation: The indicator allows users to apply an ATR Multiplier to adjust the calculation of key levels. By default, the ATR multiplier is set to 1.2, but users can adjust it to their preferred value (e.g., 1.5 or 2). Risk-to-Reward (R:R) Calculation: The Risk-to-Reward Ratio (R:R) is used to calculate potential Take Profit (TP) levels based on the high and low of the selected candle(s). The default R:R ratio is 2.0, but it can be customized to suit the trader’s strategy. Visual Markings: The High and Low values are plotted with subtle markers on the chart (cross style) for easy identification. The display of these markers is subdued for minimal visual distraction. Horizontal Table Display: A horizontal table is generated in the top-right corner of the chart, providing a quick reference for the following values: High and Low of the selected candle(s) High + ATR Multiplier and Low - ATR Multiplier R:R ratio Buy TP and Sell TP levels Each value is displayed with a reasonable number of decimal places (4 decimals) for major forex pairs, XAUUSD, and BTCUSD. Input Parameters Hour and Minute for High Candle: Select the time for the candle that will determine the High. Hour and Minute for Low Candle: Select the time for the candle that will determine the Low. ATR Multiplier: A customizable input for adjusting the ATR-based calculations (default is 1.2). Risk-to-Reward (R:R): Set the ratio to determine the TP levels (default is 2.0). How It Works The user defines two distinct time inputs (one for the High and one for the Low). At the specified times, the indicator captures the High and Low prices of the candles. The ATR is calculated and adjusted by the user-defined ATR Multiplier to determine buffers above the High and below the Low. The Risk-to-Reward ratio is applied to calculate the Take Profit levels. All of these values are displayed on the chart and updated in real time. The horizontal table ensures quick reference to all the key levels without cluttering the main chart. Use Cases Trend Trading: Identify potential support and resistance levels based on specific timeframes and adjust TP targets using ATR. Scalping: Use the ATR and R:R calculations to target precise entry and exit points. Market Opens: Track key market opens (such as New York and London) with candle times that reflect your trading strategy. Conclusion The High and Low with Horizontal Table indicator is a powerful tool for traders looking to combine precise candle-based level tracking with ATR-based risk management. By displaying key levels and TP targets in a clear, tabular format, traders can quickly assess and act on key price levels throughout their trading sessions.

Penunjuk Pine Script®

Vortex Sniper Elite @DaviddTech Vortex Sniper Elite @DaviddTech Vortex Sniper Elite @DaviddTech is a comprehensive trading system designed to deliver high-probability trade setups across all market conditions. By seamlessly integrating adaptive baseline detection, squeeze momentum analysis, and advanced vortex filtering, this indicator provides traders with a complete edge-based approach to market analysis. 🔥 Key Features: Complete Model Integration: Baseline: Advanced McGinley Dynamic indicator for superior trend detection Confirmation #1: Enhanced TTM Squeeze for momentum and volatility analysis Confirmation #2: Dual Tether Line system for dynamic market structure mapping Volatility Filter: Specialized Vortex indicator for precision entry timing Adaptive Stop Loss: Proprietary trailing stop system based on ATR calculations Advanced Visual Dashboard: Real-time component analysis with strength metrics Color-coded signal status for immediate trade assessment Squeeze state monitoring with visual confirmation Vortex divergence strength percentage for optimal entries Premium Signal Detection: Multi-timeframe compatible system for scaling strategies Automated buy/sell signals at optimal entry points Clear exit signals for risk management Squeeze momentum visualization for timing precision DaviddTech Alpha Edge System: Gradient transparency algorithm for visual trend strength confirmation Bar coloring system based on momentum direction Background highlighting for active signal states Dashboard for ease of understanding 💰 Trading Applications: Sniper Entries: Utilize the Vortex confirmation to pinpoint precise entry points Trend Alignment: McGinley baseline establishes the primary market direction Volatility Awareness: TTM Squeeze identifies optimal market conditions Risk Management: Set stops based on the adaptive trailing stop system Position Management: Monitor dashboard metrics for changing market conditions Vortex Sniper Elite @DaviddTech represents the culmination of the DaviddTech methodology in one cohesive system. Whether you're a day trader seeking precise entries or a swing trader looking for significant market moves, this indicator delivers the structured approach needed to consistently extract profits from any market condition. DaviddTech Trading System Explained: The DaviddTech methodology follows a strict component-based approach: The Baseline establishes the primary trend direction, acting as your first filter Confirmation Indicators validate potential trade setups only when aligned with the baseline The Volatility/Volume Indicator ensures you only enter trades with sufficient directional momentum A Trailing Stop System provides mathematically optimized exit points Vortex Sniper Elite integrates all these components into a visually intuitive system that eliminates guesswork and enforces disciplined trading decisions. Recommended Settings: This indicator comes pre-configured with optimized parameters, but feel free to adjust based on your timeframe: For day trading: Reduce Baseline and TTM lengths by 30-40% For swing trading: Consider increasing Tether and Trail Stop lengths by 25-50% For scalping: Focus on Vortex confirmation with shorter timeframes Best Practices: Wait for all components to align before entering trades Use the dashboard to evaluate the strength of each signal Monitor squeeze states for potential volatility expansion Let the trailing stop system handle your exits Backtest across multiple timeframes to find your optimal settings

Penunjuk Pine Script®

oleh daviddtech

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Volume Delta with Custom Colors and Min Delta Input ### Indicator Description: **Volume Delta with Custom Colors and Min Delta Input** --- Volume Delta with Custom Colors and Min Delta Input is a powerful and flexible indicator for analyzing volume delta (the difference between buying and selling volume) on TradingView charts. This indicator visualizes volume delta with customizable colors and allows filtering based on a minimum delta value. It is an ideal tool for traders who want to gain deeper insights into market activity and identify significant volume changes. --- ### Key Features: Volume Delta Visualization: - The indicator displays volume delta as candlesticks, where: - Green candles indicate positive delta (buying volume dominance). - Red candles indicate negative delta (selling volume dominance). Customizable Colors: - Users can choose their preferred colors for positive and negative delta to tailor the indicator to their preferences. Minimum Delta Volume Filter: - Added functionality to set a minimum delta volume threshold. This helps ignore insignificant volume changes and focus on important movements. Flexible Timeframe Selection: - The indicator supports analyzing volume delta on a different timeframe than the current chart. For example, you can analyze hourly volume delta on a daily chart. Adaptive Settings: - Users can configure the moving average (SMA) period and standard deviation multiplier to calculate the delta threshold. --- ### How to Use the Indicator: Add the Indicator to Your Chart: - Search for the indicator in the TradingView library and add it to your chart. Configure the Settings: - Positive Delta Bar Color: Choose the color for bars with positive delta. - Negative Delta Bar Color: Choose the color for bars with negative delta. - Minimum Delta Volume: Set the minimum delta volume value to be displayed. - Use Custom Timeframe: Enable if you want to analyze volume on a different timeframe. - Timeframe: Specify the desired timeframe for volume analysis (e.g., "1H" for hourly). - SMA Period: Set the moving average period for delta calculation. - Delta Multiplier: Adjust the standard deviation multiplier to fine-tune the delta threshold. Analyze the Chart: - Green candles indicate buying volume dominance, while red candles indicate selling volume dominance. - Use the minimum delta volume filter to focus on significant movements. --- ### Benefits of the Indicator: Flexibility: Customizable colors, timeframe selection, and filtering make the indicator versatile for various trading strategies. Clarity: Volume delta visualization as candlesticks allows for quick assessment of market activity. Noise Reduction: The minimum delta volume filter helps ignore insignificant changes and focus on important movements. --- ### Example Use Cases: For Scalping: Use a minute timeframe and set a minimum delta volume filter to identify short-term volume anomalies. For Long-Term Trading: Analyze volume delta on daily or weekly timeframes to identify key support and resistance levels. --- ### Recommendations: Use the indicator in combination with other technical analysis tools (e.g., support/resistance levels or trendlines) to improve signal accuracy. Experiment with the settings to adapt the indicator to your trading strategies. --- Volume Delta with Custom Colors and Min Delta Input is an essential tool for traders who want to gain a deeper understanding of market dynamics and make more informed trading decisions. Try it out today and see its effectiveness for yourself!

Penunjuk Pine Script®

oleh freewaydemontrade

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Multi-Timeframe Stochastic Overview Purpose of the Multi-Timeframe Stochastic Indicator: The Multi-Timeframe Stochastic Indicator provides a consolidated view of market conditions across multiple timeframes (M1, M5, M15, H1) based on the Stochastic Oscillator, a popular technical analysis tool. The main objective is to allow traders to quickly assess momentum and potential trend reversals across different timeframes on a single chart, helping to make informed trading decisions. --- General Purpose of Stochastic Oscillator: The Stochastic Oscillator measures the relationship between a security's closing price and its price range over a given period, aiming to identify momentum, overbought/oversold levels, and potential reversal points. It works on the assumption that: 1. In uptrends, prices tend to close near their highs. 2. In downtrends, prices tend to close near their lows. It consists of two lines: %K (fast line): Represents the raw Stochastic value. %D (slow line): A moving average of %K, used to smooth the data for better signals. The indicator is generally used to: Identify Overbought (price above 80% threshold) and Oversold (price below 20% threshold) conditions. Spot Bullish and Bearish divergences for potential trend reversals. Evaluate momentum strength within a trend. --- How This Multi-Timeframe Indicator Enhances Stochastic's Utility: 1. Multi-Timeframe Overview: The indicator calculates Stochastic values for multiple timeframes (1-minute, 5-minute, 15-minute, and 1-hour) and displays their market conditions (e.g., Bullish, Bearish, Overbought, Oversold, or Indecision) in an organized table format. This gives traders a broad perspective on short-term, mid-term, and long-term trends simultaneously. 2. Market Condition Summary: Bullish: Indicates upward momentum (both %K and %D > 50%). Bearish: Indicates downward momentum (both %K and %D < 50%). Overbought: Suggests potential trend exhaustion (both %K and %D > 80%). Oversold: Suggests a potential reversal to the upside (both %K and %D < 20%). Indecision: Highlights uncertainty when %K and %D are on opposite sides of the 50% level. 3. Quick Decision-Making: The color-coded table (green for Bullish/Overbought, red for Bearish/Oversold, orange for Indecision) allows traders to quickly identify dominant conditions and momentum alignment across timeframes, helping in trade confirmation. 4. Trend Analysis: By observing alignment or divergence in market conditions across timeframes, traders can gauge the strength of a trend or anticipate reversals. For example: If all timeframes show "Bullish," it suggests strong momentum. If smaller timeframes are "Overbought" while larger ones are "Bearish," it warns of a possible pullback. 5. Customizable Parameters: The indicator allows customization of Stochastic K, D, smoothing values, and overbought/oversold levels, enabling users to tailor the analysis to specific trading styles or market conditions. --- Use Cases: 1. Scalping: A scalper can use lower timeframes (e.g., M1, M5) to find overbought/oversold zones for quick trades. 2. Swing Trading: Swing traders can align smaller timeframes with higher ones (e.g., M15 and H1) to confirm momentum before entering a trade. 3. Trend Reversals: Overbought or oversold conditions across all timeframes may indicate a major reversal point, helping traders plan exits or countertrend entries. 4. Trend Continuation: Consistent bullish or bearish conditions across all timeframes confirm the continuation of a trend, providing confidence to hold positions. --- Summary: This indicator enhances the traditional Stochastic Oscillator by giving a multi-timeframe snapshot of market momentum, overbought/oversold conditions, and trend direction. It enables traders to quickly assess the overall market state, spot opportunities, and make more informed trading decisions.

Penunjuk Pine Script®

Williams %R Intensity Overview "Williams %R Intensity" is a unique indicator that combines the classic Williams %R with a dynamic intensity-based visualization. This indicator helps traders identify overbought and oversold conditions with enhanced clarity while also predicting potential future crossovers using smoothed slope calculations. It is tailored for traders seeking a more nuanced approach to trend detection and momentum analysis. Features and How It Works Core Calculation: Williams %R : Measures the current closing price relative to the highest high and lowest low over a user-defined length (default: 14). Exponential Moving Average (EMA) : Smoothens the %R values for better trend tracking (default length: 14). Overbought/Oversold Zones : Upper and lower threshold levels are set at -20 (overbought) and -80 (oversold), making it easier to identify extreme conditions. Intensity Visualization: The intensity is calculated based on the absolute distance between Williams %R and its EMA. The closer the value is to extreme levels, the more pronounced the visual intensity, capping at 90% transparency. Overbought conditions are highlighted in red; oversold conditions in teal. Crossover Signals: Bullish Cross: When Williams %R crosses above its EMA in the oversold zone. Bearish Cross: When Williams %R crosses below its EMA in the overbought zone. The background color changes (lime for bullish, red for bearish) to highlight these critical moments when enabled via the "Show Cross & Predicted Cross Signal" option. Future Cross Prediction: Uses the smoothed slope of %R to estimate future values over a customizable number of steps. Predicts potential bullish or bearish crosses based on the interaction between the predicted Williams %R and EMA. Light green and light red background colors indicate predicted bullish and bearish crosses, respectively. How to Use Trend Detection: Use the Williams %R and its EMA to identify ongoing trends and confirm their strength. Overbought/Oversold Analysis: Pay attention to crosses in extreme zones (-20 and -80) for potential reversals. Intensity-Based Filtering: The intensity visualization helps to focus on the most significant conditions, reducing noise. Cross Prediction: Enable "Show Cross & Predicted Cross Signal" to anticipate future turning points and plan trades proactively. Example Applications Scalping: Monitor rapid crossovers in lower timeframes for quick entries and exits. Swing Trading: Use the overbought/oversold zones and cross predictions to identify longer-term reversal opportunities. Risk Management: The intensity visualization can be used to filter out weak signals, ensuring higher-quality trade setups. Chart Information For clarity and compliance with publishing standards: The chart should display the full symbol, timeframe, and the script name ("Williams %R Intensity"). Ensure the indicator is visible and properly configured for the chart.

Penunjuk Pine Script®

BRT MACD Custom BRT MACD Custom — Adaptive and Flexible MACD for Multi-Timeframe Analysis The BRT MACD Custom is an advanced version of the traditional MACD indicator, offering additional flexibility and adaptability for multi-timeframe trading. This custom script allows traders to adjust the calculation parameters for MACD to suit their specific trading strategy, timeframe, and market conditions. Key Features Multi-Timeframe Support Unlike the standard MACD, this indicator lets you choose a specific timeframe (different from the chart timeframe) for calculating MACD values. This feature provides more flexibility in analyzing market trends on multiple timeframes without changing the main chart. Example: You can analyze MACD on a 15-minute timeframe even when your chart is set to 1-minute, giving you broader market insights. Customizable EMA and Signal Settings Users can adjust the fast and slow EMA lengths as well as the signal smoothing to better align with their preferred trading strategies. The script allows switching between the two popular types of moving averages — SMA or EMA — for both the MACD and the signal line. Volatility-Based Adaptive EMA The script includes an adaptive mechanism for EMA calculation. When the selected timeframe closes, the indicator dynamically adjusts the calculation, ensuring the MACD values respond quickly to market volatility. This makes the indicator more reactive compared to static MACD implementations. Shift Options for MACD, Signal, and Histogram The indicator allows shifting the MACD, signal line, and histogram values by one or more bars. This can be useful for backtesting and simulating strategies where you anticipate future price movements. Signal Alerts for Long and Short Trades The script generates visual signals when certain conditions are met, indicating potential long or short trade opportunities. These signals are based on MACD and histogram crossovers: Long Signal: Triggered when MACD is above the signal line and both are rising. Short Signal: Triggered when MACD is below the signal line and both are falling. Custom Plotting The MACD line, signal line, and histogram are plotted on the chart for easy visualization. The histogram changes colors to reflect positive or negative momentum: Green shades when MACD is above the signal line. Red shades when MACD is below the signal line. Applications in Trading The BRT MACD Custom is ideal for traders who need flexibility in their technical analysis. Its multi-timeframe capabilities and customizable moving averages make it suitable for day trading, swing trading, and long-term investing across a variety of markets. Scalping: Use the 1-minute or 5-minute timeframe to identify short-term trends while calculating MACD on a higher timeframe such as 15 or 30 minutes. Swing Trading: Apply the indicator on 1-hour or 4-hour charts to detect mid-term trends. Long-Term Investing: Analyze daily or weekly charts with longer EMA periods to confirm market direction before making large investments.

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Machine Learning Signal Filter Introducing the "Machine Learning Signal Filter," an innovative trading indicator designed to leverage the power of machine learning to enhance trading strategies. This tool combines advanced data processing capabilities with user-friendly customization options, offering traders a sophisticated yet accessible means to optimize their market analysis and decision-making processes. Importantly, this indicator does not repaint, ensuring that signals remain consistent and reliable after they are generated. Machine Learning Integration The "Machine Learning Signal Filter" employs machine learning algorithms to analyze historical price data and identify patterns that may not be immediately apparent through traditional technical analysis. By utilizing techniques such as regression analysis and neural networks, the indicator continuously learns from new data, refining its predictive capabilities over time. This dynamic adaptability allows the indicator to adjust to changing market conditions, potentially improving the accuracy of trading signals. Key Features and Benefits Dynamic Signal Generation: The indicator uses machine learning to generate buy and sell signals based on complex data patterns. This approach enables it to adapt to evolving market trends, offering traders timely and relevant insights. Crucially, the indicator does not repaint, providing reliable signals that traders can trust. Customizable Parameters: Users can fine-tune the indicator to suit their specific trading styles by adjusting settings such as the temporal synchronization and neural pulse rate. This flexibility ensures that the indicator can be tailored to different market environments. Visual Clarity and Usability: The indicator provides clear visual cues on the chart, including color-coded signals and optional display of signal curves. Users can also customize the table's position and text size, enhancing readability and ease of use. Comprehensive Performance Metrics: The indicator includes a detailed metrics table that displays key performance indicators such as return rates, trade counts, and win/loss ratios. This feature helps traders assess the effectiveness of their strategies and make data-driven decisions. How It Works The core of the "Machine Learning Signal Filter" is its ability to process and learn from large datasets. By applying machine learning models, the indicator identifies potential trading opportunities based on historical data patterns. It uses regression techniques to predict future price movements and neural networks to enhance pattern recognition. As new data is introduced, the indicator refines its algorithms, improving its accuracy and reliability over time. Use Cases Trend Following: Ideal for traders seeking to capitalize on market trends, the indicator helps identify the direction and strength of price movements. Scalping: With its ability to provide quick signals, the indicator is suitable for scalpers aiming for rapid profits in volatile markets. Risk Management: By offering insights into trade performance, the indicator aids in managing risk and optimizing trade setups. In summary, the "Machine Learning Signal Filter" is a powerful tool that combines the analytical strength of machine learning with the practical needs of traders. Its ability to adapt and provide actionable insights makes it an invaluable asset for navigating the complexities of financial markets. The "Machine Learning Signal Filter" is a tool designed to assist traders by providing insights based on historical data and machine learning techniques. It does not guarantee profitable trades and should be used as part of a comprehensive trading strategy. Users are encouraged to conduct their own research and consider their financial situation before making trading decisions. Trading involves significant risk, and it is possible to lose more than the initial investment. Always trade responsibly and be aware of the risks involved.

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oleh Julien_Exe

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RSI Divergence Strategy what is "RSI Divergence Strategy"? it is a RSI strategy based this indicator: what it does? it gives buy or sell signals according to RSI Divergences. it also has different variables such as "take profit", "stop loss" and trailing stop loss. how it does it? it uses the "RSI Divergence" indicator to give signal. For detailed information on how it works, you can visit the link above. The quantity of the inputs is proportional to the rsi values. Long trades are directly traded with "RSI" value, while short poses are traded with "100-RSI" value. How to use it? The default settings are for scalp strategy but can be used for any type of trading strategy. you can develop different strategies by changing the sections. It is quite simple to use. RSI length is length of RSİ source is source of RSİ RSİ Divergence lenght is length of line on the RSI The "take profit", "stop" and "trailing stop" parts used in the "buy" group only affect buys. The "sell" group is similarly independent of the variables in the "buy" group. The "zoom" section is used to enlarge or reduce the indicator. it only changes the appearance, it does not affect the results of the strategy.

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Volume Zone Oscillator (VZO)My interpretation of Walid Khalil's Volume Zone Oscillator (VZO) as published in the 2009 International Federation of Technical Analysis Journal. This VZO indicator is also the same as Danielle Shay's popular Simpler Trading TurboVZO indicator. ABOUT: The oscillator breaks up volume activity into positive and negative categories. It is positive when the current closing price is greater than the prior closing price and negative when it's lower than the prior closing price. The resulting curve plots through relative percentage levels that yield a series of buy and sell signals, depending on level and indicator direction. HOW TO USE THE INDICATOR: The default period is 14 but can be adjusted after backtesting. The VZO points to a positive trend when it rises above and maintains the 5% level, and a negative trend when it falls below the 5% level and fails to turn higher. Oscillations between the 5% and 40% levels mark a bullish trend zone, while oscillations between -40% and 5% mark a bearish trend zone. Meanwhile, readings above 40% signal an overbought condition, while readings above 60% signal an extremely overbought condition. Alternatively, readings below -40% indicate an oversold condition, which becomes extremely oversold below -60%. Kahlil recommends confirming VZO signals with a 14-period average directional index (ADX), with values greater than 18 pointing to a trending market - search Tradingview's built-in indicators for the Directional Movement Index (DMI). INTRADAY SCALPING: Whilst the VZO is already smoothed with an exponential moving average, the indicator settings include an additional 'smoothing' function to remove any excess 'noise' in the plots for intraday use.

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oleh Beardy_Fred

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Master Yoda (10-in-1) v1.0 [R2D2]Yoda (10-in-1) v1.0 Master Yoda 10-in-1 is a comprehensive, professional-grade trading suite designed to consolidate your entire workflow into a single indicator. By combining 10 core technical indicators (plus a bonus 11th ) into one modular overlay, this tool overcomes the "max indicator" limit on charts while providing deep, multi-timeframe (MTF) market analysis. This script operates on a philosophy of Filters vs. Triggers : Filters : Define the environment (e.g., Is the trend Bullish? Is Volatility low?). Triggers : Execute the precise entry (e.g., Price crosses VWAP, MACD crosses Zero). 1. EMA Filter (The Trend Backbone) Type : Trend Filter Logic : Uses Fast (Default: 9) and Slow (Default: 21) Exponential Moving Averages. How to Use: Trend-Following Mode : Select this in settings to trade only when the Fast EMA is above the Slow EMA. Counter-Trend Mode : Select this to catch reversals (Fast EMA below Slow EMA). Visual : The background color changes Green/Red based on this trend alignment. 2. MACD (Momentum Trigger) Type : Momentum Trigger Logic : Standard (12, 26, 9) convergence divergence. How to Use: Zero-Line Cross : Unlike standard signal crosses, this module triggers signals when the MACD line crosses the Zero Line. Bullish : Crosses Over 0. Bearish : Crosses Under 0. 3. RSI (Safe Bottom Finder) Type : Mean Reversion Filter Logic : Relative Strength Index (Length 14). How to Use: Filter Logic : The script only permits Long signals when RSI is in "safe" territory (Oversold, default < 30) and Short signals when Overbought (default > 70). Strategy : Prevents buying at the absolute top or selling at the absolute bottom. 4. VWAP (Institutional Value) Type : Mean Reversion Trigger Logic : Volume Weighted Average Price with Standard Deviation Bands. How to Use: Mean Reversion : Designed for counter-trend trading. Long Trigge r: Price crosses the Lower Band (Value Zone). Short Trigger : Price crosses the Upper Band (Premium Zone). 5. Stoch RSI (The Scalper's Edge) Type : Momentum Filter (High Sensitivity) Logic : Stochastic Oscillator applied to RSI data. How to Use: Fast Signals : Best used on lower timeframes (5m, 15m) for scalping. Bullish : %K line crosses %D line while below the Oversold threshold (20). 6. TTM Squeeze (Volatility Breakout) Type : Volatility Trigger Logic : Measures Bollinger Bands inside Keltner Channels. How to Use: Squeeze (Red Dot) : Volatility is compressing. A big move is imminent. Wait. Fire (Green Dot) : Volatility has expanded. Trade the breakout. Visuals : Dots appear at the bottom of the chart to indicate Squeeze status. 7. ADX (Trend Strength) Type : Chop Filter Logic : Average Directional Index. How to Use: Filter Chop : Trading in a flat market is dangerous. ADX filters out trades unless the trend strength is > 25. Confirm Direction : Ensures the DI+ (Bulls) or DI- (Bears) is dominant. 8. SuperTrend (Trailing Stop) Type : Trend Filter Logic : ATR-based trailing stop (Factor 3.0, Length 10). How to Use: Bias Enforcement : If the line is Green, only Longs are allowed. If Red, only Shorts. Stop Loss : Use the SuperTrend line as your dynamic trailing stop-loss level. 9. MFI (Volume-Weighted RSI) Type : Volume Filter Logic : Money Flow Index. How to Use: Smart Money : Confirms if volume supports the price action. Filter : Only permits trades when MFI confirms an extreme (Overbought/Oversold) to avoid false breakouts on low volume. 10. ATR Channels (Reversal Bands) Type : Reversal Trigger Logic : Moving Average ± (ATR * Multiplier). How to Use: Statistical Extremes : When price hits the outer ATR bands, it is statistically extended. Signal : Triggers a reversal trade (Long at Lower Band, Short at Upper Band). Bonus : 11. PSAR (Parabolic SAR) Type : Trend Filter Logic : Parabolic Stop and Reverse. How to Use: Visual Bias : Purple dots below price = Bullish Trend. Purple dots above = Bearish Trend. Dashboard & Visuals Status Table : A "Heads Up Display" in the top-right corner shows the real-time status (BULL/BEAR) of every enabled indicator. Buy/Sell Labels : Triangle shapes on the chart indicate confirmed entry points based on your active Triggers and Filters. Dynamic Background : Shaded background highlights the dominant EMA trend direction. Alerts The script comes with built-in alert conditions for automation: Yoda Long : Triggers when all active filters pass and a Long trigger fires. Yoda Short : Triggers when all active filters pass and a Short trigger fires. How to Configure You do not need to use all 10 indicators at once! Use the Settings menu to toggle them based on your strategy: Trend Trading : Enable EMA, SuperTrend, and MACD. Scalping : Enable Stoch RSI and VWAP. Breakouts : Enable TTM Squeeze and ADX. Disclaimer : This tool is for educational purposes only. Past performance does not guarantee future results. Always manage your risk.

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oleh R2D2_4Life

Dollar Ladder Ruler Dollar Ladder Ruler — Intraday Price Levels A clean, automatic price ladder overlay that draws consistent horizontal dollar-based levels around the current price to help visualize psychological support/resistance zones and intraday reaction areas. Designed specifically for SPY, QQQ, large-cap stocks, and options scalping. Levels drawn • $0.50 → thin white dashed • $1.00 → thin white solid • $2.50 → medium bold • $5.00 → thick bold • $10.00 → thick gold (major levels) Why this is useful • Highlights psychological whole/half dollar magnets • Makes bounces/rejections obvious • Great for scalping, 0DTE, and day trading • Automatically recenters around current price • No manual drawing required • Lightweight + updates in real time Best used on • 1m–5m charts • SPY / QQQ / high-liquidity tickers • Intraday trading Adjust Range Above/Below Price ($) to control how many levels are shown.

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ScalpFlow: Dynamic Range & Structure Engine "Intraday S/R + Fractal Liquidity Mapper" Navigate the Noise with Precision Structure Mapping In the world of 5-minute scalping, the biggest challenge is identifying true trend shifts versus minor noise. ScalpFlow transforms your chart into a structural map, grouping price action into time-based "Blocks" that automatically label market highs and lows. Stop guessing where the next support level is—ScalpFlow draws it for you based on realized market volatility. Key Features Automated Block Structure: Groups price action into clear visual boxes. Each box is color-coded (Bullish/Bearish) and automatically identifies HH (Higher Highs), LH (Lower Highs), LL (Lower Lows), and HL (Higher Lows). Instant S/R Projection: The script identifies the High and Low of the previous completed block and projects them forward as dashed Support & Resistance lines. This gives you immediate targets for breakouts or mean-reversion trades. Fractal HH/LL Labels: High-speed "Mini-Pivots" (Fractals) are labeled on the candles themselves, allowing you to spot micro-reversals before the larger block even closes. Dynamic Trend-Line Midpoints: A blue trend line connects the midpoints of every block, providing a smoothed visual representation of the overall price trajectory. Scalper’s HUD: A clean dashboard in the bottom-right corner that tells you exactly where price is relative to the range: "BREAKOUT UP," "INSIDE RANGE," or "BREAKDOWN DOWN." Integrated VWAP: Standardized institutional volume weighting to ensure you are trading with the "Value" of the day. The Scalper's Edge This tool is designed for "Structure Traders." By seeing the market as a series of boxes rather than just lines, you can easily identify "Equality Highs" (EQH) or "Equality Lows" (EQL)—common areas where liquidity sits and where big moves often begin. Best Used For: Asset: Crypto (BTC/ETH), Forex (Major pairs), and Equities. Timeframe: 1-Minute to 15-Minute (Optimized for 5m). Style: Trend Following, Breakout Trading, and Range Scalping.

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Forex Renko Leaderboard Forex Warlord: Kinetic Velocity Leaderboard This indicator is a specialized dashboard designed to rank the 7 Major Forex pairs based on their real-time "Kinetic Velocity" and acceleration. Unlike standard strength meters that measure relative price change, the Warlord Engine calculates exactly how fast a pair is generating net profits per second, accounting for the "Physics" of the market: drag (spread costs) and inertia (lag). It is designed specifically for momentum traders who need to know not just which pair is moving, but which pair is moving fast enough to overcome the cost of the spread and generate immediate net return. HOW IT WORKS The script runs a "Virtual Renko" simulation on your time-based chart (works best on 1-second or 1-minute timeframes). It tracks price movement in "Bricks" and calculates a standardized "Score" for each pair. The Score represents "Net Pips per Second." -- A positive score (> 0.00) means the price is moving fast enough to clear the spread and generate profit. -- A negative score (< 0.00) means the price is moving too slowly, and the spread cost is eating the volatility. The system then applies a "Smart Decay" penalty. If a pair is moving fast but starting to decelerate (slowing down), its score is penalized to prevent you from buying the top. HOW TO USE IT 1. Attach the indicator to any chart (EURUSD, 1-Second or 1-Minute recommended for high-speed scalping). 2. Look at the Dashboard on the right side of the screen. 3. Identify the Rank #1 Pair. This is the currency currently moving with the highest velocity. 4. Check the "Action" Column: -- TRADE (Green): The pair is Rank #1 AND its velocity is high enough to be profitable. -- NO TRADE (Red): The pair is moving too slowly, or the spread cost is too high relative to the move. -- SPREAD > MAX (Red): The calculated move does not clear your specified "Max Broker Cost." -- NO TRADE (ZONE) (Red): The market is in the "Dead Zone" (typically 17:00-18:00 EST), where spreads widen and liquidity vanishes. 5. Check the "State" Icon: -- Rocket: The pair is accelerating. This is the ideal entry signal. -- Warning: The pair is decelerating. Caution is advised as momentum is fading. ALERTS The indicator features a built-in alert system. You can create an alert in TradingView to notify you specifically when the "Renko Leaderboard Ranking" changes. This allows you to wait for the market to tell you which pair is taking the lead without staring at the screen. INPUTS & SETTINGS -- Renko Brick Size (Pips): The most critical tuning knob. Determines the sensitivity of the engine. Smaller bricks (e.g., 2-3 pips) make it hyper-sensitive for scalping. Larger bricks (e.g., 10 pips) tune it for swing trends. Changing this instantly recalculates the entire board. -- Max Broker Cost (Pips): Your "Hurdle Rate." If a pair's projected profit does not clear this cost (default 1.0 pip), the dashboard will forbid the trade. -- Dead Zone Start/End (Hour): Hard-coded risk management. By default, it blocks all signals between 17:00 and 18:00 EST (New York Close) to protect you from high-spread rollover hours. -- HMA Time Dilation: A smoothing factor to prevent noise on 1-second charts. DISCLAIMER This tool is for informational purposes only. It measures past velocity to rank current momentum. Past performance is not indicative of future results. Always verify the actual bid/ask spread on your broker before executing, as the script uses a fixed spread calculation.

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GORDAUM SCALP Outside Bar + VWAP + RSI Scale + Range POC + FiBO 📘 OFFICIAL MANUAL SCALP INDICATOR – OUTSIDE BAR + VWAP + RSI + RANGE (POC / VA) + FIBONACCI 📌 INDICATOR OVERVIEW This indicator was developed for SCALPING operations, focusing on fast entries, reduced risk exposure, and false signal filtering. The strategy combines price action, momentum, fair value, and range structure, delivering clear, objective, and visual signals, without subjective interpretation. 🔧 INDICATOR COMPONENTS The indicator is composed of 5 main pillars: 1️⃣ OUTSIDE BAR (PRICE ACTION) The Outside Bar represents a candle that completely engulfs the previous candle, indicating clear buyer or seller aggression and a potential start of a short movement, ideal for scalping. This is the main entry trigger. 2️⃣ VWAP (FAIR PRICE OF THE DAY) VWAP represents the volume-weighted average price and is widely used by institutional traders. Basic rules: Price above VWAP indicates bullish bias. Price below VWAP indicates bearish bias. The strategy does not trade against VWAP. 3️⃣ RSI WITH STRENGTH SCALE (ANTI-FALSE ENTRY) RSI is used as a momentum strength indicator. The indicator measures the distance of RSI from the 50 level, classifying signals as: Weak signal (gray): RSI very close to 50, trap zone. Medium signal (yellow/orange): moderate strength. Strong signal (green/red): RSI far from 50, higher probability of real movement. The farther RSI is from 50, the lower the chance of false entries. 4️⃣ MARKET RANGE – POC, VAH AND VAL The indicator identifies the current market range and builds a value-based reading: POC (Point of Control): area where price trades the most. VAH (Value Area High): top of the value area. VAL (Value Area Low): bottom of the value area. Key concept: Price near the POC indicates consolidation and false entries. Price reacting near VAH or VAL indicates cleaner trades. This context is marked on the chart with a second marker (dot). 5️⃣ DYNAMIC FIBONACCI (CONTEXT AND TARGETS) Fibonacci levels are calculated automatically based on the recent market range, projecting the following levels: 0.5 0.618 0.666 1.0 These levels act as targets, partial exits, rejection zones, or continuation areas. 🔺 TYPES OF SIGNALS ON THE CHART The indicator works with two simultaneous markers: Arrow (Outside Bar): indicates a potential entry based on Outside Bar, VWAP, and RSI. Dot (Range Context): indicates price position within the range: Gray: price at POC (trap zone). Yellow: middle of the range. Green or red: price near VAH or VAL (favorable zone). ✅ TRADING RULES LONG (BUY) SETUP: Price above VWAP. Bullish Outside Bar formation. RSI above 50. Green or yellow arrow. Green dot indicating proximity to VAL. When arrow and dot align, the trade is valid. SHORT (SELL) SETUP: Price below VWAP. Bearish Outside Bar formation. RSI below 50. Red or orange arrow. Red dot indicating proximity to VAH. Dual confirmation increases trade probability. ❌ WHEN NOT TO TRADE Avoid trades when: Arrow is gray. Dot is gray (price at POC). RSI is too close to 50. Market is clearly ranging. Not trading is also a professional decision. 🎯 STOP LOSS AND TARGETS Stop Loss: Below the Outside Bar low for long trades. Above the Outside Bar high for short trades. Targets: Next Fibonacci level. Opposite VAH or VAL. Minimum risk-to-reward ratio of 1:1. ⏱️ RECOMMENDED TIMEFRAMES 1 minute 2 minutes 3 minutes Renko charts with small bricks. ⚠️ IMPORTANT CONSIDERATIONS This indicator is not a trading robot. It provides context and entry triggers. Execution and risk management are the trader’s responsibility. 🧠 STRATEGY PHILOSOPHY This setup was created to avoid overtrading, eliminate entries in the middle of the range, and operate only where the market truly moves. Price away from value creates opportunity. Price inside value creates traps.

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oleh CryptoViewWord

Purra Buy Sell Signals indicator.lk's purra buy sell is a precision-tuned indicator designed specifically for XAU/USD (Gold) 5-minute scalping. It combines a smoothed trend-filter (based on a multi-stage EMA cascade with adaptive smoothing) and an ATR-based trailing stop logic to generate high-confidence Buy and Sell signals directly on the price chart. Ideal for short-term traders seeking clean, responsive entries with minimal lag, this tool helps you: Catch early trend reversals Avoid choppy false signals Execute fast scalps during active gold sessions (London & Asian overlap) Built with risk-aware logic and visual clarity in mind—green labels = long opportunities, red labels = short setups. Fully compatible with alerts for automated trade execution. Optimized for XAUUSD on the 5-minute timeframe. Works best during high-liquidity hours. 🛠️ How to Use (for Gold 5-Minute Scalping) Apply to Chart: Add the indicator to XAU/USD (Gold) on the 5-minute timeframe. Signal Interpretation: Green "Buy" label below bar: Strong bullish momentum—consider long entry. Red "Sell" label above bar: Strong bearish momentum—consider short entry. Confirmation Tips: Trade only when the background ribbon or trend line (if enabled) aligns with the signal direction (green = uptrend, red = downtrend). Avoid signals during major news events or low volatility (e.g., late NY session). For higher accuracy, combine with price action (e.g., rejection candles, break of micro structure). Risk Management: Use tight stop-losses just beyond recent swing points. Target 1:1 or 1:2 risk-reward; gold moves fast on 5M! Alerts: Enable TradingView alerts on “Purra Long” / “Purra Short” conditions for real-time notifications.

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oleh ewinacademy

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TA Confluence Scanner v2.9 | Mint_Algo 📘 TA Confluence Scanner Introduction The TA Confluence Scanner is a multi-factor trend system designed to filter market noise and identify high-probability trade setups. By combining adaptive algorithms (KAMA) with Price Action methodologies (SMC, Breakouts, Fractals), this indicator operates on the principle of Confluence : a signal is only valid when multiple independent tools agree on the direction. Instead of relying on a single lagging indicator (like just MA fast and slow crossover), this script acts as a "Scanner," evaluating the market state through Volatility, Trend Structure, and Equilibrium. ─────────────────────────────────────────────────── Important Note To make this "Plug & Play," I have included optimized presets in the settings for different timeframes (1m/15m-1h/4h-1D) and trading styles (Scalper, Intraday, Swing, Investor) tested on symbols: FX:EURUSD IG:NASDAQ BITSTAMP:BTCUSD BINANCE:ETHUSD CAPITALCOM:US500 OANDA:XAUUSD NASDAQ:AAPL NASDAQ:TSLA BUT default settings already include a good preset which excludes most of the noise and grabs the trend better (fewer entries, but quality is higher). Check the presets at the bottom 👇 ─────────────────────────────────────────────────── Core Features Adaptive Trend Filter (KAMA): Adjusts to market volatility to distinguish between chop and true trends. SMC Equilibrium (EQ) Fans: A three-tiered dynamic structure (Fast, Medium, Slow) for trailing stops and targets. Confluence Counter: Visually displays the strength of a signal (e.g., "Strong 4/6") based on how many factors align. Re-Entry Logic: Identifies low-risk entry points within an existing trend. Automated S/R & Breakouts: Detects key pivot levels and structural breaks. ─────────────────────────────────────────────────── Settings & Components Breakdown 1. KAMA (Primary Trend Filter) The backbone of the system. It calculates the Efficiency Ratio (ER) of price movement. How it works: If the ER is high (strong trend), KAMA follows price closely. If ER is low (ranging), KAMA flattens out to prevent false signals. Tuning: Fast (ER ~100/5/60): For Scalping. Smooth: Default settings are optimized for a balance between lag and noise reduction. 2. SMC Equilibrium (EQ Structure) Based on the HL2 formula (High+Low / 2), this creates a "fan" of three lines: EQ1 (Fast): The aggressive line. Used for early exits or scalping stops. EQ2 (Medium): The baseline trend structure. EQ3 (Slow): The major trend container. Used for position trading. Usage: Use these lines to gauge how far price has deviated from its "fair value." 3. Breakout & Internal Trend Lookback Period: Defines the range for a valid breakout. A lower lookback (e.g., 10) gives earlier signals but more noise; a higher lookback (e.g., 20-30) confirms significant structural breaks. Internal Trend: A simplified SMA check to ensure immediate momentum aligns with the macro trend. 4. Signal Strength (The Confluence Meter) The indicator counts active signals from: KAMA, Internal Trend, S/R, FVG, Breakout, and EQ. Strong Signal: When the count hits your threshold (e.g., 4/6 ). This suggests a high-probability reversal or breakout. Medium Signal (Triangles): These appear when the trend is active but not all filters align. These are excellent continuation/re-entry points. ─────────────────────────────────────────────────── How to Trade (Strategy Guide) 🎯 The Entry Wait for a Strong Signal (Large Label). This confirms that volatility, structure, and momentum have aligned. Conservative: Wait for the candle to close. Aggressive: Enter on the breakout of the KAMA line. 🔄 Re-Entry & Continuation Markets rarely move in a straight line. Scenario: You missed the initial "Strong" entry, or you took profit and want to re-enter. The Signal: Look for the small Triangles (Medium signals). These often appear after a pullback when price resumes the main trend. Logic: If the main KAMA trend is still green/red, but the "Strong" signal isn't firing, a Triangle indicates a safe place to add to a position. ⚠️ Pyramiding & Risk Management (Advanced) The EQ Lines (Fast/Medium/Slow) are designed for a tiered position management strategy: Entry: Open position (e.g., 0.03 lots). First Take Profit: When price extends far beyond EQ1 (Fast) , lock in partial profits. Trailing Stop: Move your Stop Loss to trace the EQ2 (Medium) line. Trend Riding: Hold the "Runner" portion of your position until price closes back under EQ3 (Slow) or the KAMA line. Tip: Use William Fractals (Period 2) to pinpoint exact swing highs/lows for tightening stops. ─────────────────────────────────────────────────── Presets & Optimized Settings To make this "Plug & Play," I have included optimized presets in the settings for different trading styles. (If you don't see some parameters, that means they are turned off in trading mode) ⚡ SCALPER (1m - 5m) KAMA: ER: 100 Fast Length: 15 Slow Length: 30 FVG: Size %: 0.01 Trend Detection: Length: 20 Breakout: Lookback Period: 10 S/R Detection: Pivot Length: 10 Tolerance: 0.3 SMC EQ: Default: 10 EQ1: 10 EQ2 (Main): 30 EQ3: 120 Signal Strength: Strong: 4 Medium: 3 📊 INTRADAY (15m - 1H) KAMA: ER: 100 Fast Length: 5 Slow Length: 30 Trend Detection: Length: 100 Breakout: Lookback Period: 30 S/R Detection: Pivot Length: 20 Tolerance: 0.5 SMC EQ: Default: 10 EQ1: 10 EQ2 (Main): 40 EQ3: 80 Signal Strength: Strong: 4 Medium: 3 📈 SWING (4H - 1D) KAMA: ER: 30 Fast Length: 4 Slow Length: 30 Trend Detection: Length: 50 Breakout: Lookback Period: 20 S/R Detection: Pivot Length: 30 Tolerance: 0.7 SMC EQ: Default: 10 EQ1: 10 EQ2: 50 EQ3 (Main): 60 Signal Strength: Strong: 4 Medium: 3 💼 INVESTOR (4H - 1D+) KAMA: ER: 30 Fast Length: 5 Slow Length: 10 Trend Detection: Length: 100 Breakout: Lookback Period: 50 S/R Detection: Pivot Length: 30 Tolerance: 0.7 SMC EQ: Default: 10 EQ1: 10 EQ2: 50 EQ3 (Main): 100 Signal Strength: Strong: 4 Medium: 3 ─────────────────────────────────────────────────── Notes FVG (Fair Value Gaps): Optional. Enable if you trade volatile assets like Crypto/Gold where imbalances are common. Support/Resistance: The built-in Pivot system is optional. Disable it if you prefer drawing your own levels to keep the chart clean. Recommended Pairing: For best results, pair this with a momentum oscillator like RSI to detect the range regime of a trend. Or DI+ and DI- (when it crosses over each other, that means the "range of possible" regime change of a trend). ─────────────────────────────────────────────────── Disclaimer: This tool is for informational purposes only. "Confluence" increases probability but does not guarantee results. Always manage your risk.

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Pilih data pasaran disediakan oleh ICE Data Services. Pilih data rujukan disediakan oleh FactSet. Copyright © 2026 FactSet Research Systems Inc.Copyright © 2026, American Bankers Association. Rangkaian data CUSIP disediakan oleh FactSet Research Systems Inc. Semua hak cipta terpelihara. Pengisian SEC dan dokumen lain disediakan oleh Quartr.© 2026 TradingView, Inc.

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Peraturan Dalaman
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Idea

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Skrip Pine

Penunjuk & strategi
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Widget
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Lightweight Charts™
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Peluang pertumbuhan

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