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LogTrend Retest EngineLogTrend Retest Engine (LTRE) LogTrend Retest Engine (LTRE) is an advanced trend-continuation overlay designed to identify high-probability breakout retests using logarithmic regression , volatility-adjusted deviation bands , and market regime filtering . Unlike traditional channels or moving averages, LTRE models price behavior in log space , allowing it to adapt naturally to exponential market moves common in crypto, indices, and long-term trends. 🔹 How It Works Logarithmic Regression Core Performs linear regression on log-transformed price and time Produces a structurally accurate trend midline that scales with price growth Volatility-Adjusted Deviation Bands Dynamic upper and lower zones based on statistical deviation ATR weighting expands or contracts bands as volatility changes Adaptive Lookback (Optional) Automatically adjusts regression length using volatility pressure Faster response in high-volatility environments, smoother in consolidation 🔹 Market Regime Detection LTRE actively filters conditions using: R² trend strength (trend quality, not just slope) Volatility compression vs expansion User-defined minimum trend strength threshold Signals are disabled during ranging or low-quality conditions . 🔹 Breakout → Retest Signal Logic LTRE does not chase breakouts. Signals trigger only when: 1. Price breaks cleanly outside the deviation band 2. Market regime is confirmed as trending 3. Price performs a controlled retest within a user-defined tolerance BUY Break above upper band → retest → trend confirmed SELL Break below lower band → retest → trend confirmed This structure is designed to reduce false breakouts and late entries. 🔹 Visual & Projection Tools Clean midline and deviation bands Optional filled zones Optional future trend projection for forward structure planning On-chart statistics for trend strength and volatility compression 🔹 Best Use Cases Trend continuation & pullback strategies Crypto, Forex, Indices, and equities Works best on 15m and higher timeframes ⚠️ Disclaimer LTRE is a decision-support tool , not a complete trading system. Always use proper risk management and confirm signals with additional structure, volume, or higher-timeframe context. Built for traders who wait for structure — not noise.
Wskaźnik Pine Script®
od Cryptobingbong
Adaptive Log Trend Zones + Retest SignalsAdaptive Log Trend Zones + Retest Signals Adaptive Log Trend Zones is a trend-following overlay built to identify high-probability breakout retests in strong market conditions. It combines logarithmic regression , volatility-adaptive behavior , and ATR-based trend zones to help traders stay aligned with dominant momentum while avoiding chop. 🔹 Core Features Logarithmic Regression Midline Uses linear regression on log price to better handle exponential market moves Produces smoother, more realistic trend structure on higher timeframes Volatility-Adaptive Lookback Automatically expands or contracts the regression length based on ATR volatility Reacts faster in high volatility, smoother in consolidation Dynamic Trend Zones Upper and lower bands are ATR-adjusted and trend-colored Optional future projection for visual trend guidance Breakout → Retest Signal Logic Detects clean breakouts beyond the trend zone Waits for a controlled pullback (retest) before signaling Signals only trigger when trend strength is confirmed Trend Quality Filter Internal regime detection filters out low-quality, sideways conditions Uses slope strength and volatility compression to validate entries 🔹 Signals BUY : Bullish breakout followed by a valid retest in a trending regime SELL : Bearish breakout followed by a valid retest in a trending regime Signals are designed for trend continuation , not mean reversion. 🔹 Best Use Cases Crypto, Forex, and Index markets Higher timeframes (15m+ recommended) Trend continuation and pullback strategies ⚠️ Notes This indicator is not a standalone trading system . Always use proper risk management and confirm signals with structure, volume, or higher-timeframe context. Designed for traders who prefer structure, patience, and momentum alignment.
Wskaźnik Pine Script®
od Cryptobingbong
Cumulative Volume Delta (CVD) Suite [QuantAlgo]🟢 Overview The Cumulative Volume Delta (CVD) Suite is a comprehensive toolkit that tracks the net difference between buying and selling pressure over time, helping traders identify significant accumulation/distribution patterns, spot divergences with price action, and confirm trend strength. By visualizing the running balance of volume flow, this indicator reveals underlying market sentiment that often precedes significant price movements. 🟢 How It Works The indicator begins by determining the optimal timeframe for delta calculation. When auto-select is enabled, it automatically chooses a lower timeframe based on your chart period, e.g., using 1-second bars for minute charts, 5-second bars for 5-minute charts, and progressively larger intervals for higher timeframes. This granular approach captures volume flow dynamics that might be missed at the chart level. Once the timeframe is established, the indicator calculates volume delta for each bar using directional classification: getDelta() => close > open ? volume : close < open ? -volume : 0 When a bar closes higher than it opens (bullish candle), the entire volume is counted as positive delta representing buying pressure. Conversely, when a bar closes lower than its open (bearish candle), volume becomes negative delta representing selling pressure. This classification is applied to every bar in the selected lower timeframe, then aggregated upward to construct the delta for each chart bar: array deltaValues = request.security_lower_tf(syminfo.tickerid, lowerTimeframe, getDelta()) float barDelta = 0.0 if array.size(deltaValues) > 0 for i = 0 to array.size(deltaValues) - 1 barDelta := barDelta + array.get(deltaValues, i) This aggregation process sums all the individual delta values from the lower timeframe bars that comprise each chart bar, capturing the complete volume flow activity within that period. The resulting bar delta then feeds into the various display calculations: rawCVD = ta.cum(barDelta) // Cumulative sum from chart start smoothCVD = ta.sma(rawCVD, smoothingLength) // Smoothed for noise reduction rollingCVD = math.sum(barDelta, rollingLength) // Rolling window calculation Note: This directional bar approach differs from exchange-level orderflow CVD, which uses tick data to separate aggressive buy orders (executed at the ask price) from aggressive sell orders (executed at the bid price). While this method provides a volume flow approximation rather than pure tape-reading precision, it offers a practical and accessible way to analyze buying and selling dynamics across all timeframes and instruments without requiring specialized data feeds on TradingView. 🟢 Key Features The indicator offers five distinct visualization modes, each designed to reveal different aspects of volume flow dynamics and cater to various trading strategies and market conditions. 1. Oscillator (Raw): Displays the true cumulative volume delta from the beginning of chart history, accompanied by an EMA signal line that helps identify trend direction and momentum shifts. When CVD crosses above the signal line, it indicates strengthening buying pressure; crosses below suggest increasing selling pressure. This mode is particularly valuable for spotting long-term accumulation/distribution phases and identifying divergences where CVD makes new highs/lows while price fails to confirm, often signaling potential reversals. 2. Oscillator (Smooth): Applies a simple moving average to the raw CVD to filter out noise while preserving the underlying trend structure, creating smoother signal line crossovers. Use this when trading trending instruments where you need confirmation of genuine volume-backed moves versus temporary volatility spikes. 3. Oscillator (Rolling): Calculates cumulative delta over only the most recent N bars (configurable window length), effectively resetting the baseline and removing the influence of distant historical data. This approach focuses exclusively on current market dynamics, making it highly responsive to recent shifts in volume pressure and particularly useful in markets that have undergone regime changes or structural shifts. This mode can be beneficial for traders when they want to analyze "what's happening now" without legacy bias from months or years of prior data affecting the readings. 4. Histogram: Renders the per-bar volume delta as individual histogram bars rather than cumulative values, showing the immediate buying or selling pressure that occurred during each specific candle. Positive (green) bars indicate that bar closed higher than it opened with buying volume, while negative (red) bars show selling volume dominance. This mode excels at identifying sudden volume surges, exhaustion points where large delta bars fail to move price, and bar-by-bar absorption patterns where one side is aggressively consuming the other's volume. 5. Candles: Transforms CVD data into OHLC candlestick format, where each candle's open represents the CVD at the start of the bar and subsequent intra-bar delta changes create the high, low, and close values. This visualization reveals the internal volume flow dynamics within each time period, showing whether buying or selling pressure dominated throughout the bar's formation and exposing intra-bar reversals or sustained directional pressure. Use candle wicks and bodies to identify volume acceptance/rejection at specific CVD levels, similar to how price candles show acceptance/rejection at price levels. ▶ Built-in Alert System: Comprehensive alerts for all display modes including bullish/bearish momentum shifts (CVD crossing signal line), buying/selling pressure detection (histogram mode), and bullish/bearish CVD candle formations. Fully customizable with exchange and timeframe placeholders. ▶ Visual Customization: Choose from 5 color presets (Classic, Aqua, Cosmic, Ember, Neon) or create your own custom color schemes. Optional price bar coloring feature overlays CVD trend colors directly onto your main chart candles, providing instant visual confirmation of volume flow and making divergences immediately apparent. Optional info label with configurable position and size displays current CVD values, data source timeframe, and mode at a glance.
Wskaźnik Pine Script®
od QuantAlgo
EDUVEST Lorentzian ClassificationEDUVEST Lorentzian Classification - Machine Learning Signal Detection ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY This indicator enhances the original Lorentzian Classification concept by jdehorty with EduVest's visual modifications and alert system integration. The core innovation is using Lorentzian distance instead of Euclidean distance for k-NN classification, providing more robust pattern recognition in financial markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WHAT IT DOES - Generates BUY/SELL signals using machine learning classification - Displays kernel regression estimate for trend visualization - Shows prediction values on each bar - Provides trade statistics (Win Rate, W/L Ratio) - Includes multiple filter options (Volatility, Regime, ADX, EMA, SMA) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW IT WORKS 【Lorentzian Distance Calculation】 Unlike Euclidean distance, Lorentzian distance uses logarithmic transformation: d = Σ log(1 + |xi - yi|) This provides: - Better handling of outliers - More stable distance measurements - Reduced sensitivity to extreme values 【Feature Engineering】 The classifier uses up to 5 configurable features: - RSI (Relative Strength Index) - WT (WaveTrend) - CCI (Commodity Channel Index) - ADX (Average Directional Index) Each feature is normalized using the n_rsi, n_wt, n_cci, or n_adx functions. 【k-Nearest Neighbors Classification】 1. Calculate Lorentzian distance between current bar and historical bars 2. Find k nearest neighbors (default: 8) 3. Sum predictions from neighbors 4. Generate signal based on prediction sum (>0 = Long, <0 = Short) 【Kernel Regression】 Uses Rational Quadratic kernel for smooth trend estimation: - Lookback Window: 8 - Relative Weighting: 8 - Regression Level: 25 【Filters】 - Volatility Filter: Filters signals during extreme volatility - Regime Filter: Identifies market regime using threshold - ADX Filter: Confirms trend strength - EMA/SMA Filter: Trend direction confirmation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW TO USE 【Recommended Settings】 - Timeframe: 15M, 1H, 4H, Daily - Neighbors Count: 8 (default) - Feature Count: 5 for comprehensive analysis 【Signal Interpretation】 - Green BUY label: Long entry signal - Red SELL label: Short entry signal - Bar colors: Green (bullish) / Red (bearish) prediction strength 【Trade Statistics Panel】 - Winrate: Historical win percentage - Trades: Total (Wins|Losses) - WL Ratio: Win/Loss ratio - Early Signal Flips: Premature signal changes 【Filter Recommendations】 - Enable Volatility Filter for ranging markets - Enable Regime Filter for trend confirmation - Use EMA Filter (200) for higher timeframes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS Original Lorentzian Classification concept and MLExtensions library by jdehorty. Enhanced with visual modifications and alert integration by EduVest. License: Mozilla Public License 2.0
Wskaźnik Pine Script®
od EduVest_doro
EDUVEST UTBOT ADJ - Adaptive ATR Trailing StopEDUVEST UTBOT ADJ - Adaptive ATR Trailing Stop with Session-Based Sensitivity ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY This indicator is an enhanced version of the classic UT Bot concept, featuring automatic session-based ATR sensitivity adjustment. Unlike the original UT Bot which uses a fixed sensitivity value, this version dynamically adapts to different trading sessions (Tokyo, London, New York) and automatically detects asset characteristics to optimize signal generation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WHAT IT DOES - Generates BUY and SELL signals based on ATR trailing stop crossovers with a moving average - Automatically adjusts sensitivity based on current trading session (Tokyo/London/NY) - Auto-detects asset type and applies optimized parameters for each instrument - Displays real-time session information and volatility status - Provides alert functionality with customizable cooldown periods ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW IT WORKS 【Core Logic: ATR Trailing Stop】 The indicator calculates an ATR-based trailing stop using the formula: Trailing Stop = Price ± (Sensitivity × ATR) When price is above the trailing stop and rising, the stop trails below price. When price is below the trailing stop and falling, the stop trails above price. 【Signal Generation】 - BUY Signal: Price crosses above the trailing stop AND Moving Average crosses above the trailing stop - SELL Signal: Price crosses below the trailing stop AND Moving Average crosses below the trailing stop 【Session-Based Sensitivity Adjustment】 The indicator adjusts ATR sensitivity based on trading session (JST timezone): - Tokyo (08:00-15:00): Lower sensitivity (reduced by adjustment value) - typically quieter markets - London (15:00-23:00): Base sensitivity - moderate volatility - New York (23:00-08:00): Higher sensitivity (increased by adjustment value) - higher volatility 【Dynamic ATR Adjustment】 When enabled, the indicator compares current ATR to its smoothed average: - ATR Ratio = Current ATR / SMA(ATR, smoothing period) - Volatility Multiplier = 1.0 + (Sensitivity × (2.0 - ATR Ratio)) This reduces sensitivity during high volatility (fewer false signals) and increases sensitivity during low volatility (faster response). 【Auto Asset Detection】 The indicator automatically detects the traded instrument and applies optimized parameters: - Stable pairs (USDJPY, EURUSD, USDCHF): Base sensitivity 1.5-1.8 - Moderate pairs (AUDUSD, USDCAD, EURJPY): Base sensitivity 2.0-2.3 - Volatile pairs (GBPUSD): Base sensitivity 2.8 - Commodities (GOLD/XAUUSD): Base sensitivity 3.5 - Indices (NASDAQ/NAS100): Base sensitivity 4.0 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW TO USE 【Recommended Settings】 - Timeframe: 15 minutes or higher (15M, 1H, 4H recommended) - Best performance on: Forex majors, Gold, NASDAQ - Enable "Auto Asset Detection" for optimized parameters 【Entry Rules】 - BUY: Enter long when green BUY label appears - SELL: Enter short when pink SELL label appears 【Session Panel】 The top-right panel displays: - Current trading session (Tokyo/London/NY) - Volatility status (High Chance/Medium Chance/Caution) - Mode (AUTO/MANUAL) 【Alert Setup】 1. Enable "Viewer Alert Display" in settings 2. Set cooldown period (default: 15 minutes) to avoid signal spam 3. Create alert with "Any alert() function call" condition 【Important Notes】 - This indicator does not repaint - signals are confirmed at bar close - Lower timeframes (1M, 5M) may generate excessive signals - Always use proper risk management and confirm with other analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ SETTINGS OVERVIEW 🎯 Alert Settings - Viewer Alert Display: Enable/disable alert labels - Cooldown Function: Prevent rapid consecutive signals - Cooldown Time: Minutes between alerts (5-60) 🔧 Dynamic ATR Settings - Enable Dynamic ATR: Auto-adjust based on volatility - ATR Period: Calculation period (default: 14) - ATR Smoothing: Smoothing period for ratio calculation - Volatility Sensitivity: How much to adjust (0.1-1.0) 🕐 Session ATR Adjustment - Enable Time Adjustment: Session-based sensitivity - Show Session Info: Display session panel 📊 Asset Settings - Auto Asset Detection: Automatically optimize for instrument - Manual settings available when auto-detection is disabled ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS Based on the original UT Bot concept by QuantNomad. Enhanced with session-based adaptation and auto-asset detection by EduVest. License: Mozilla Public License 2.0
Wskaźnik Pine Script®
od EduVest_doro
Volatility Trend Score [BackQuant]Volatility Trend Score Overview Volatility Trend Score is a trend-strength and regime-evaluation indicator built to measure directional persistence, not just direction. Most trend tools answer “up or down” using slope, crossovers, or a single condition. This indicator answers a more useful question for real trading: “How consistently is trend structure holding up once volatility is accounted for?” It does this by building a volatility-scaled trailing structure (ATR-based) and then scoring how that structure evolves over a configurable lookback range. The output is a continuous score that rises when trend is persistent and decays when price action becomes noisy, mean-reverting, or unstable. What it is measuring (the real goal) This indicator is not trying to predict reversals. It is trying to quantify whether the market is behaving like a trend market or a chop market. It focuses on: Persistence: does structure keep pushing in one direction bar after bar? Stability: are pullbacks being absorbed without breaking the trailing structure? Regime: is the market trending strongly enough to justify directional bias? If you already have entries from other systems, this becomes a high-quality trend filter and trade management layer. Core idea At its foundation, the indicator combines two parts: A volatility-adjusted trailing level derived from ATR and a user-defined factor. A rolling persistence score that compares the current trail to prior trail values over a configurable loop window. The trailing structure adapts to volatility and enforces one-sided movement, while the scoring logic converts that behavior into a numeric measure of trend quality. Inputs and what they actually control Average True Range Period (calc_p) Defines the ATR window used to estimate volatility. A higher value smooths the volatility estimate and makes the trailing structure less reactive. Factor (atr_factor) Scales the ATR band size. Higher values widen the trailing band, filtering more noise, reducing flip frequency, and generally producing slower but more stable regimes. For Loop Start/End (start/end) Defines the comparison window used to build the score. It effectively sets how many historical trail values the current trail is compared against. Shorter ranges produce a faster, more responsive score. Longer ranges produce a slower, more “confidence-based” score that only climbs when trend persistence is sustained. Long/Short Thresholds (thresL/thresS) Convert a continuous score into regime thresholds. Long threshold is a “trend quality requirement” for bullish bias. Short threshold is used as a deterioration / breakdown trigger via crossunder logic. Volatility-adjusted trailing structure The trailing line is built from ATR bands around price: up = close + ATR * factor dn = close - ATR * factor Then a trailing value is maintained with one-sided ratcheting behavior: If dn rises above the previous trail, the trail steps up (ratchets upward). If up drops below the previous trail, the trail steps down (ratchets downward). This “ratchet” behavior is important. It prevents the trail from oscillating with small countertrend moves, forcing the trail to represent meaningful structure rather than micro-noise. On-chart, this trail often behaves like dynamic support/resistance in trends. Why the trail is a better base than raw price Price itself is noisy, and volatility changes the meaning of “big move” vs “small move.” By anchoring structure to ATR: A move is interpreted relative to current volatility, not in absolute points. High-volatility chop is less likely to be misread as a trend. Trend structure is normalized across assets and timeframes more reliably. This is why the score remains usable even when switching from low-vol assets to high-vol crypto pairs. Trend scoring logic The score is built by repeatedly comparing the current trailing value to trailing values from prior bars across a loop window: If current trail > trail , add +1 If current trail < trail , add -1 This is a persistence test, not a momentum calculation. In a strong trend, the trail should generally keep stepping in the trend direction, so current values will be greater than many past values (bullish) or lower than many past values (bearish). In chop, the trail fails to progress meaningfully, so the score compresses, oscillates, or bleeds out. How to interpret the score Think of the score as a “trend conviction meter”: High positive values: bullish persistence, structure is advancing consistently. Low positive values: bullish bias may exist, but trend quality is weak or unstable. Near zero: indecision, range behavior, or frequent structure challenges. Negative values: bearish dominance or sustained deterioration in structure. The speed of score change matters too: Fast expansion suggests a fresh regime gaining traction. Slow grind suggests mature trend continuation. Rapid compression often signals consolidation, exhaustion, or a transition phase. Signals and regime transitions This script uses two different styles of conditions (important detail): Long condition: score > long threshold (state-based, persistent while true). Short condition: crossunder(score, short threshold) (event-based trigger). That means: Long bias can remain active as long as score stays above the long threshold. Short regime flips are triggered at the moment the score breaks down through the short threshold. On the chart, long/short shapes are only plotted when the regime flips (first bar of the change), not on every bar, using: Long shape when signal becomes 1 and previous signal was -1 Short shape when signal becomes -1 and previous signal was 1 This keeps signals clean and avoids spam, making it usable for alerts and regime tagging. Visual presentation The indicator is designed to work both as a panel oscillator and as an on-chart overlay: Score plot (oscillator): color reflects active regime state. Optional trail on price: volatility-scaled structure line on chart. Optional threshold reference lines: clear regime boundaries. Optional candle coloring: makes regime obvious without reading the panel. Optional background shading: useful for quick scanning and backtesting visually. You can use only the score, only the trail, or both together depending on your workflow. Practical use cases 1) Trend filter for systems Use the score as a regime gate: Allow long entries only when score is above the long threshold. Avoid longs when score compresses toward zero or loses the threshold. Treat the short threshold break as “trend is no longer healthy.” This often improves system expectancy by reducing exposure during low-conviction conditions. 2) Trend quality grading Instead of treating all uptrends as equal: Higher score = higher persistence, better continuation odds. Score plateau = trend losing pressure, continuation becomes less reliable. Score decay while price rises = trend is getting weaker under the hood. This is useful for position sizing or deciding whether to add to winners. 3) Trade management and exits Two complementary tools exist here: Trail line can act as a dynamic stop reference or structure invalidation level. Score behavior can be used to scale out when persistence fades (before a full flip). Many traders use the trail for “hard structure” and the score for “soft deterioration.” 4) Breakout confirmation vs fakeouts A breakout that immediately fails to build score is often low quality. Healthy breakouts usually come with score expansion as structure advances. Fakeouts often revert quickly, score fails to climb, and regime stays unstable. Tuning guidelines These are general behaviors you can expect when adjusting settings: Higher ATR period and factor: slower regimes, fewer flips, cleaner structure. Lower ATR period and factor: faster reaction, more sensitivity, more noise risk. Longer loop range: score becomes more “confidence-based,” slower to change. Shorter loop range: score becomes more “tactical,” faster but more jittery. A good way to tune is to pick the trail behavior first (ATR period and factor), then tune the score window (loop) to match how quickly you want “trend conviction” to build. Market behavior focus Volatility Trend Score is most valuable in markets where volatility shifts frequently and fake trends are common, especially crypto. It is designed to: Stay out of low-quality chop where most indicators whipsaw. Quantify when volatility is being expressed directionally (constructive trend). Provide a clean regime framework for filtering, alignment, and management. Summary Volatility Trend Score converts volatility-adjusted structure into a quantified measure of trend persistence. By combining an ATR-based trailing mechanism with a rolling comparison score, it provides a more reliable read on trend quality than single-condition indicators. It is best used as a regime filter, a trend strength gauge, and a trade management layer, helping you stay aligned with strong directional phases while avoiding low-conviction envir
Wskaźnik Pine Script®
od BackQuant
13
HMA Trend Scalper V1[wjdtks255] Overview This indicator is a high-performance trend-following system optimized for crypto futures trading. It provides clear entry signals and dynamic, real-time risk management tools to help traders stay on the right side of the market. Key Features Dynamic Trend Tracking: Uses a specialized HMA (Hull Moving Average) to filter market noise and identify the core trend. Real-time TP/SL Extension: Unlike static indicators, the Take Profit (TP) and Stop Loss (SL) lines extend candle-by-candle along with the price action. Clean Chart UI: Lines only exist from the entry point to the current candle, preventing chart clutter. Automatic Completion: Once the price hits a target, the line stops extending and marks the result (Target Hit or Stop Out). Trading Strategy (How to Trade) 1. Long Entry (🚀 LONG) Condition: The price must be above the trend line, and a breakout of the recent 5-candle high must occur with significant volume. Action: Enter a Long position when the "🚀 LONG" label appears. Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line. 2. Short Entry (💀 SHORT) Condition: The price must be below the trend line, and a breakdown of the recent 5-candle low must occur with significant volume. Action: Enter a Short position when the "💀 SHORT" label appears. Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line. 3. Risk Management Stop Loss: The indicator automatically calculates the optimal SL based on recent volatility (ATR) and swing points. Take Profit: The TP is set at a calculated ratio to ensure a positive risk-to-reward setup. Settings Trend Sensitivity: Adjust the HMA length to match your preferred timeframe (Scalping vs. Swing). Volume Multiplier: Filter out weak moves by increasing the volume breakout requirement. Custom Styles: Fully customize line colors, widths, and styles (Solid, Dashed, Dotted) in the settings menu.
Wskaźnik Pine Script®
od wjdtks255
9
Zero-Lag ATR Trend [BackQuant]Zero-Lag ATR Trend Overview Zero-Lag ATR Trend is a volatility-adaptive trend-following overlay designed to identify directional market regimes with minimal delay while preserving structural clarity. The indicator combines a zero-lag moving average framework with a zero-lag volatility model to produce a trailing trend line that reacts quickly to meaningful price changes without becoming unstable or overly sensitive. Unlike conventional ATR-based trend tools that rely on lagging averages and delayed volatility estimates, this indicator applies zero-lag logic to both the trend centerline and the volatility calculation. The result is a trend structure that aligns more closely with real-time price action while still maintaining the discipline required for trend continuation trading. Core design philosophy The core idea behind Zero-Lag ATR Trend is simple: Reduce signal delay without sacrificing trend integrity. Adapt dynamically to changing volatility regimes. Provide a single, clean structure that defines trend direction, continuation, and invalidation. Instead of stacking multiple indicators, the script builds a complete trend framework from two tightly integrated components: a zero-lag trend spine and a zero-lag ATR trailing mechanism. Zero-lag trend spine The trend spine is constructed using a zero-lag moving average (ZLMA). This is achieved by applying a corrective step to a traditional moving average, effectively compensating for smoothing delay. Conceptually, the process works as follows: A base moving average is calculated from the selected price source. That moving average is then passed through a zero-lag correction. The correction pulls the line closer to current price without introducing noise. This produces a trend line that reacts faster than standard EMA, SMA, or HMA signals, particularly during early trend acceleration phases. Multiple moving-average types can be used inside the zero-lag framework, allowing traders to fine-tune responsiveness based on asset behavior and timeframe. Zero-lag volatility model Volatility is measured using True Range, but instead of applying classic ATR smoothing, the indicator uses a zero-lag smoothing pass on the True Range itself. This approach offers several advantages: Volatility expands more quickly during impulse moves. Volatility contracts faster during consolidations. Band width adjusts in near real-time to changing conditions. The smoothed zero-lag ATR is multiplied by a user-defined factor to create adaptive upper and lower boundaries around the trend spine. These boundaries define how much counter-movement price is allowed before the trend structure is invalidated. Volatility-aware trailing structure The trailing output is the defining feature of the indicator. It behaves as a one-directional trailing structure: In bullish conditions, the trailing line can only move upward. In bearish conditions, the trailing line can only move downward. Minor pullbacks inside the volatility envelope do not flip the trend. This logic prevents the indicator from reacting to shallow retracements and focuses instead on structural trend changes. Because the trailing behavior is volatility-scaled, the indicator remains stable during high volatility while still responding promptly during regime shifts. Trend flips and regime transitions Trend direction is determined by changes in the trailing structure itself rather than raw price crosses. A trend flip occurs only when price movement is strong enough, relative to current volatility, to force the trailing line to reverse direction. This means: Bullish flips represent genuine transitions into upward regimes. Bearish flips represent genuine transitions into downward regimes. Sideways noise is largely filtered out. As a result, the indicator is well suited for identifying medium-to-long trend phases rather than short-term oscillations. Visual structure and chart clarity The visual design is intentionally minimal and functional: The main trailing line is color-coded by trend direction. An optional ribbon or cloud reinforces directional bias. Optional candle coloring aligns price bars with the active trend. These elements allow traders to assess trend state instantly without interpreting multiple signals or overlays. How to use for trend following Trend bias Maintain a bullish bias while price holds above the trailing line. Maintain a bearish bias while price holds below the trailing line. Entries Trend flips can be used as initial directional entries. Pullbacks toward the trailing line often act as continuation opportunities. Momentum confirmation can be layered on top for additional confluence. Trend management The trailing line naturally functions as a dynamic stop reference. As long as price respects the trailing structure, the trend remains valid. A flip in direction signals a full regime transition rather than a minor correction. Why zero-lag matters for trend trading Traditional trend indicators often react late, especially during fast expansions, resulting in delayed entries and early exits. By reducing lag in both the trend calculation and the volatility model, Zero-Lag ATR Trend aims to capture a larger portion of directional moves while maintaining consistency and discipline. This makes it particularly effective for momentum-based trend following, breakout continuation strategies, and traders who prioritize staying aligned with dominant market structure rather than predicting reversals. Summary Zero-Lag ATR Trend is a complete trend-following framework built around responsiveness, adaptability, and clarity. Its zero-lag architecture allows it to respond earlier to meaningful price changes, while its volatility-aware trailing logic ensures that trends are only invalidated when structure truly breaks. The result is a clean, intuitive tool that supports disciplined trend participation across assets and timeframes.
Wskaźnik Pine Script®
od BackQuant
5
VWAP Gravity Oscillator (VGO) (Intraday Only)VWAP Gravity Oscillator (VGO) The VWAP Gravity Oscillator (VGO) is an intraday analytical indicator designed to quantify price displacement from VWAP and the rate of change of that displacement. The indicator models VWAP as a statistical equilibrium level and evaluates: Price deviation from VWAP (Delta) Momentum and acceleration of that deviation via MACD This framework enables assessment of trend persistence versus mean-reversion pressure in intraday price action. Methodology VWAP Delta Measures the signed distance between price and VWAP, representing directional bias relative to equilibrium. MACD on Delta Captures the first- and second-order dynamics of VWAP deviation, highlighting acceleration, deceleration, and potential inflection points. Zero Line Represents price–VWAP equilibrium. Crossings may indicate regime transitions. Interpretation Guidelines Positive Delta Price is trading above VWAP with positive directional bias. Negative Delta Price is trading below VWAP with negative directional bias. Increasing MACD Expansion of VWAP deviation (trend reinforcement). Decreasing or reversing MACD Contraction of VWAP deviation (mean-reversion risk). Intended Applications Intraday trend validation Early detection of trend exhaustion Mean-reversion risk assessment Filtering low-conviction or balanced market conditions Implementation Notes Designed exclusively for intraday timeframes Automatically suppressed on higher-timeframe charts Intended as a contextual analysis tool, not a standalone signal generator Conceptual Summary VGO evaluates whether price is diverging from, stabilising around, or reverting toward VWAP by analysing both displacement and its rate of change.
Wskaźnik Pine Script®
od gokul4trading
Minervini Ultimate +VCPMinervini Ultimate Suite (SEPA Dashboard) This indicator implements Mark Minervini's "Trend Template" criteria combined with a Volatility Contraction Pattern (VCP) detector and a custom Relative Strength rating. It is designed to help traders visualize the technical health of a stock based on stage analysis concepts. This indicator serves as a complete Control System (Dashboard) for Mark Minervini's SEPA trading strategy. Instead of manually checking five different metrics on every chart, this indicator performs the mathematical calculations and presents the "bottom line" in a single, organized table. 1. What This Indicator Does The goal is to ensure you never enter a trade blindly. It verifies the stock against Minervini's strict requirements: Trend: Is the stock in a healthy Stage 2 Uptrend? Relative Strength: Is it stronger than the general market? Buy Risk: Is it the right time to buy, or is the price extended? Pressure: Are institutions accumulating or distributing? VCP: Is there a breakout opportunity (volatility contraction) right now? 2. Key Benefits Time-Saving: Instead of drawing lines and calculating percentages manually, you get immediate visual feedback (Green/Red). Discipline: The indicator will flag "Extended" (Red) if you attempt to buy a stock that has run up too much, saving you from late entries and unnecessary losses. Precision Timing: The VCP feature (Blue Dots) helps you identify the "calm before the storm"—the exact moment volatility contracts, which often precedes a major breakout. 3. Indicator Parameters & Features A. Minervini Pressure (Buying vs. Selling) What it checks: Money flow over the last 20 days. Calculation: Sums up volume on "Up Days" (Green) versus volume on "Down Days" (Red). Meaning: 🟢 Buying: More money is entering than leaving. A sign of institutional accumulation. 🔴 Selling: Selling pressure dominates. The price may be rising, but without strong volume backing. B. Buy Risk (Price Extension) What it checks: The distance of the current price from the 50-Day Moving Average. Minervini strictly warns against "chasing" stocks. Signals: 🟢 Low Risk: Price is within 0% – 15% of the 50MA. This is the ideal "Buy Zone". 🟡 Caution: Price is 15% – 25% away. Buy with increased caution. 🔴 Extended: Price is >25% from the MA. Do not buy. The probability of a pullback is high. ⚪ Broken: Price is below the 50MA. The short-term trend is damaged. C. TPR - Trend Template (Trend Power Rating) What it checks: Is the stock in a Stage 2 Uptrend? Strict Rules (All must be true for a PASS): Price > 50MA > 150MA > 200MA. The 200MA is trending UP (positive slope). Price is near the 52-Week High (within 25%). Price is above the 52-Week Low (at least 25%). Meaning: 🟢 PASSED: Technically healthy and ready to move. 🔴 FAILED: The trend structure is broken (e.g., MAs are entangled). D. RPR Score (Relative Performance Rating) What it checks: How strong the stock is compared to the general market (S&P 500 / SPY). Calculation: Weighted performance over 3, 6, 9, and 12 months vs. the SPY. The score ranges from 1 to 99. Meaning: 🟢 80-99: Market Leader. These are the stocks Minervini targets. 🟡 70-80: Good, but not elite. ⚪ Below 70: Laggard (weaker than the market). E. VCP Action (Volatility Contraction Pattern) What it checks: Monitors price tightness. It calculates the range between the highest close and lowest close over the last 5 days. Meaning: 🔵 SQUEEZE (Blue Text + Blue Dot on Chart): The price range has contracted to less than 2.5%. Why it matters: When a stock stops moving wildly and trades in a tight range ("Flat Line"), it indicates supply has dried up. A high-volume breakout often follows immediately.
Wskaźnik Pine Script®
od noam73
2
Trend Force Index (HTF Momentum)📌 Description Trend Force Index • HTF Momentum (TFI-HTF) is a market context and trend-strength indicator designed to help traders understand directional force, momentum quality, and higher-timeframe bias. This tool measures directional impulse and trend pressure using a dual-average force model, normalized by volatility. Instead of producing buy or sell signals, it focuses on how strong a move is, which side controls the market, and whether price is in a trending or compressing state. 🔍 What This Indicator Shows Directional Force: Identifies bullish, bearish, and neutral force zones Momentum Quality: Differentiates strong trends from weak or fading moves Compression Zones: Highlights low-force environments where trades are often lower quality Higher-Timeframe Context (HTF): Displays directional bias from a higher timeframe for alignment Volatility Normalization: Adapts to changing market conditions using ATR 🧭 How to Use Use force direction to confirm price action or structure-based setups Trade in alignment with HTF bias for higher-probability context Avoid entries during compression / low-force zones Best used alongside price action, market structure, VWAP, or support & resistance 🎛 UI Presets PRO Mode: Clean, subdued visuals for experienced traders BEGINNER Mode: Higher contrast visuals for easier interpretation ⚠️ Important Notes This indicator does NOT generate buy or sell signals.It is intended for analysis, confirmation, and market context only. Always combine with your own trading plan and risk management ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only.It does not constitute financial advice or trade recommendations.All trading decisions and associated risks remain the sole responsibility of the user.Past market behavior does not guarantee future results.
Wskaźnik Pine Script®
od Market_Logic_India
MDZ Strategy v4.2 - Multi-factor trend strategyWhat This Strategy Does MDZ (Momentum Divergence Zones) v4.2 is a trend-following strategy that enters long positions when multiple momentum and trend indicators align. It's designed for swing trading on higher timeframes (2H-4H) and uses ATR-based position management. The strategy waits for strong trend confirmation before entry, requiring agreement across five different filters. This reduces trade frequency but aims to improve signal quality. Entry Logic A long entry triggers when ALL of the following conditions are true: 1. EMA Stack (Trend Structure) Price > EMA 20 > EMA 50 > EMA 200 This "stacked" alignment indicates a strong established uptrend 2. RSI Filter (Momentum Window) RSI between 45-75 (default) Confirms momentum without entering overbought territory 3. ADX Filter (Trend Strength) ADX > 20 (default) Ensures the trend has sufficient strength, not a ranging market 4. MACD Confirmation MACD line above signal line Histogram increasing (momentum accelerating) 5. Directional Movement +DI > -DI Confirms bullish directional pressure Exit Logic Positions are managed with ATR-based levels: ParameterDefaultDescriptionStop Loss2.5 × ATRBelow entry priceTake Profit6.0 × ATRAbove entry priceTrailing Stop2.0 × ATROptional, activates after entry The default configuration produces a 1:2.4 risk-reward ratio. Presets The strategy includes optimized presets based on historical testing: PresetTimeframeNotes1H Standard1 HourMore frequent signals2H Low DD2 HourConservative settings3H Optimized3 HourBalanced approach4H Swing4 HourWider stops for swing tradesCustomAnyFull manual control Select "Custom" to adjust all parameters manually. Inputs Explained EMAs Fast EMA (20): Short-term trend Slow EMA (50): Medium-term trend Trend EMA (200): Long-term trend filter RSI Length: Lookback period (default 14) Min/Max: Entry window to avoid extremes ADX Min ADX: Minimum trend strength threshold Risk Stop Loss ATR: Multiplier for stop distance Take Profit ATR: Multiplier for target distance Trail ATR: Trailing stop distance (if enabled) Session (Optional) Filter entries by time of day Recommended OFF for 3H+ timeframes What's Displayed Info Panel (Top Right) Current preset Trend status (Strong/Wait) ADX, RSI, MACD readings Position status Risk-reward ratio Stats Panel (Top Left) Net P&L % Total trades Win rate Profit factor Maximum drawdown Chart EMA lines (20 blue, 50 orange, 200 purple) Green background during strong uptrend Triangle markers on entry signals Important Notes ⚠️ This is a long-only strategy. It does not take short positions. ⚠️ Historical results do not guarantee future performance. Backtests show what would have happened in the past under specific conditions. Markets change, and any strategy can experience drawdowns or extended losing periods. ⚠️ Risk management is your responsibility. The default settings risk 100% of equity per trade for backtesting purposes. In live trading, appropriate position sizing based on your risk tolerance is essential. ⚠️ Slippage and commissions matter. The backtest includes 0.02% commission and 1 tick slippage, but actual execution costs vary by broker and market conditions. Best Practices Test on your specific market — Results vary significantly across different instruments Use appropriate position sizing — Never risk more than you can afford to lose Combine with your own analysis — No indicator replaces understanding market context Paper trade first — Validate the strategy matches your trading style before risking capital Alerts Two alerts are available: MDZ Long Entry: Fires when all entry conditions are met Uptrend Started: Fires when EMA stack first aligns bullish Methodology This strategy is based on the principle that trend continuation has better odds than reversal when multiple timeframe momentum indicators agree. By requiring five independent confirmations, it filters out weak setups at the cost of fewer total signals. The ATR-based exits adapt to current volatility rather than using fixed pip/point targets, which helps the strategy adjust to different market conditions. Questions? Leave a comment below.
Strategia Pine Script®
od VolForge
NICHI (NuwenPham's Ichimoku)NICHI (NuwenPham’s Ichimoku) NICHI is a dual-engine Ichimoku indicator designed for modern, high-volatility markets. It preserves a faithful traditional Ichimoku while introducing an advanced, filter-driven Ichimoku framework for research, visualization, and discretionary trading. The goal of NICHI is not to replace Ichimoku — but to extend it. Overview NICHI includes two independent Ichimoku systems that can be enabled separately or together. 1. Standard Ichimoku A clean, traditional Hosoda Ichimoku using Donchian midpoints: Tenkan-sen (short period) Kijun-sen (medium period) Senkou Span A & B (forward displaced) Chikou Span (lagging) Design choice: The Standard Ichimoku is intentionally plotted in a separate pane to avoid cluttering the price chart. It serves as a reference / regime baseline, not a visual overlay. 2. Advanced Ichimoku The Advanced system keeps the Ichimoku structure intact but replaces the Donchian calculations with selectable smoothing filters. Each Ichimoku component (Tenkan, Kijun, Senkou B, Chikou) can be calculated using modern filters designed to handle volatility, noise, and regime shifts. Supported filters include: McGinley Dynamic (MD) VWMA (exchange or tick-derived volume) EMA / DEMA / SMA / SMMA / WMA ALMA / LSMA / Hull MA COVWMA / FRAMA / KAMA 50th Percentile Moving Median This allows Ichimoku to behave as: A smoother trend system A volatility-adaptive framework A momentum-responsive overlay Enhanced Cloud (Kumo) Modeling Advanced Kumo logic includes: Independent forward offsets for Span A and Span B Bull / bear regime classification aligned with how the cloud is actually drawn Adaptive cloud coloring Neutral cloud state when spans disagree This avoids misleading regime signals when different offsets are used. Directional Persistence Tracking NICHI tracks directional streaks for key components: Tenkan direction Kijun direction Span A direction Span B direction These persistence counters stabilize coloring, reduce flicker, and improve visual clarity during transitions. Bar Coloring Modes (Advanced) Three bar-coloring frameworks are included. Kumo-Based Above cloud → bullish Below cloud → bearish Inside cloud → neutral Tenkan / Kijun-Based Above both → bullish Below both → bearish Chikou-Based Chikou above past price → bullish Chikou below past price → bearish Each mode is intentionally distinct and serves a different trading style. Moving Average Overlays NICHI includes four optional moving average overlays (MA1–MA4): Configurable type, length, width, and source Intended for bias, confluence, or higher-timeframe context Controlled as code-level constants by design What Changed Since BETA This release promotes NICHI from beta to stable with the following key improvements: Chikou regime logic fixed: Chikou comparisons now reference historical price only, eliminating any future lookahead behavior. Kumo bull/bear alignment clarified: Cloud regime classification now matches how the cloud is visually drawn when Span A and Span B use different forward offsets. Kijun direction tracking corrected: Kijun coloring now reflects Kijun movement, not Tenkan movement. Bar coloring gated: Bar coloring is applied only when Advanced Ichimoku is enabled, preventing unintended behavior when using Standard mode alone. General stability and cleanup: Minor bug fixes, consistency improvements, and documentation clarity. Notes Advanced Ichimoku is intended for research and visualization, not as a turnkey strategy. Standard Ichimoku remains a faithful baseline. If reporting issues, please include symbol, timeframe, and a screenshot.
Wskaźnik Pine Script®
od NuwenPham
ML-Inspired Adaptive Momentum Strategy (TradingView v6)This strategy demonstrates an adaptive momentum approach using volatility-normalized trend strength. It is designed for educational and analytical purposes and uses deterministic, fully transparent logic compatible with Pine Script v6. ML-Inspired Concept (Educational Context) Pine Script cannot train or execute real machine-learning models. Instead, this strategy demonstrates ML-style thinking by: Converting price data into features Normalizing features to account for volatility differences Producing a bounded confidence score Applying thresholds for decision making This is not predictive AI and does not claim forecasting capability. Strategy Logic EMA is used to measure directional bias EMA slope represents momentum change ATR normalizes the slope (feature scaling) A clamped score between −1 and +1 is generated Trades trigger only when the score exceeds defined thresholds Risk & Execution Position size capped at 5% equity Commission and slippage included for realistic testing Signals are calculated on closed bars only Purpose This script is intended to help traders explore adaptive momentum concepts and understand how feature normalization can be applied in systematic trading strategies.
Strategia Pine Script®
od AIScripts
4 Bar Sequential Counter (9 to 13) [DotGain]4-Bar Sequential Counter (Seq4) This indicator identifies potential trend exhaustion phases using a strict sequential count based on the relationship between the current closing price and the closing price four bars earlier. How it works • A bullish sequence is counted as long as the current close remains below the close from 4 bars ago. • A bearish sequence is counted as long as the current close remains above the close from 4 bars ago. • The count resets immediately if the respective condition is no longer met. • The sequence counts up to a maximum of 13 , after which it resets and a new sequence may begin. Visualization • Only counts from 9 to 13 are displayed on the chart. • Bullish sequences are plotted below price bars. • Bearish sequences are plotted above price bars. • The minimalist design keeps the chart clean and focused on potentially relevant exhaustion zones. Interpretation • A count of 9 may indicate an early sign of market overextension. • A count of 13 represents a more advanced sequence and a higher probability of consolidation or corrective price action. • This indicator is not a standalone trading system and should be used in combination with trend analysis, volume, and support/resistance levels. Alerts • Bullish sequence at 9 • Bullish sequence at 13 • Bearish sequence at 9 • Bearish sequence at 13 Disclaimer This "4-Bar Sequential Counter (9–13)" (Seq4) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. This indicator is an independent implementation of a sequential counting method and is not affiliated with, or endorsed by any trademarked trading concepts or methodologies. The signals generated by this tool (Green and Red) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital. Past performance does not guarantee future results. This indicator highlights sequential price exhaustion patterns and may generate false, lagging, or incomplete signals. Markets can remain unpredictable longer than you can remain solvent. The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
Wskaźnik Pine Script®
od DotGain
Multi-indicator Signal Builder [Skyrexio]Overview Multi-Indicator Signal Builder is a versatile, all-in-one script designed to streamline your trading workflow by combining multiple popular technical indicators under a single roof. It features a single-entry, single-exit logic, intrabar stop-loss/take-profit handling, an optional time filter, a visually accessible condition table, and a built-in statistics label. Traders can choose any combination of 12+ indicators (RSI, Ultimate Oscillator, Bollinger %B, Moving Averages, ADX, Stochastic, MACD, PSAR, MFI, CCI, Heikin Ashi, and a “TV Screener” placeholder) to form entry or exit conditions. This script aims to simplify strategy creation and analysis , making it a powerful toolkit for technical traders. Indicators Overview RSI (Relative Strength Index) Measures recent price changes to evaluate overbought or oversold conditions on a 0–100 scale. Ultimate Oscillator (UO) Uses weighted averages of three different timeframes, aiming to confirm price momentum while avoiding false divergences. Bollinger %B Expresses price relative to Bollinger Bands, indicating whether price is near the upper band (overbought) or lower band (oversold). Moving Average (MA) Smooths price data over a specified period. The script supports both SMA and EMA to help identify trend direction and potential crossovers. ADX (Average Directional Index) Gauges the strength of a trend (0–100). Higher ADX signals stronger momentum, while lower ADX indicates a weaker trend. Stochastic Compares a closing price to a price range over a given period to identify momentum shifts and potential reversals. MACD (Moving Average Convergence/Divergence) Tracks the difference between two EMAs plus a signal line, commonly used to spot momentum flips through crossovers. PSAR (Parabolic SAR) Plots a trailing stop-and-reverse dot that moves with the trend. Often used to signal potential reversals when price crosses PSAR. MFI (Money Flow Index) Similar to RSI but incorporates volume data. A reading above 80 can suggest overbought conditions, while below 20 may indicate oversold. CCI (Commodity Channel Index) Identifies cyclical trends or overbought/oversold levels by comparing current price to an average price over a set timeframe. Heikin Ashi A type of candlestick charting that filters out market noise. The script uses a streak-based approach (multiple consecutive bullish or bearish bars) to gauge mini-trends. TV Screener A placeholder condition designed to integrate external buy/sell logic (like a TradingView “Buy” or “Sell” rating). Users can override or reference external signals if desired. Unique Features Multi-Indicator Entry and Exit You can selectively enable any subset of 12+ classic indicators, each with customizable parameters and conditions. A position opens only if all enabled entry conditions are met, and it closes only when all enabled exit conditions are satisfied, helping reduce false triggers. Single-Entry / Single-Exit with Intrabar SL/TP The script supports a single position at a time. Once a position is open, it monitors intrabar to see if the price hits your stop-loss or take-profit levels before the bar closes, making results more realistic for fast-moving markets. Time Window Filter Users may specify a start/end date range during which trades are allowed, making it convenient to focus on specific market cycles for backtesting or live trading. Condition Table and Statistics A table at the bottom of the chart lists all active entry/exit indicators. Upon each closed trade, an integrated statistics label displays net profit, total trades, win/loss count, average and median PnL, etc. Seamless Alerts and Automation • Configure alerts in TradingView using “Any alert() function call.” • The script sends JSON alert messages you can route to your own webhook. • The indicator can be integrated with Skyrexio alert bots to automate execution on major cryptocurrency exchanges. Optional MA/PSAR Plots For added visual clarity, optionally plot the chosen moving averages or PSAR on the chart to confirm signals without stacking multiple indicators. Methodology Multi-Indicator Entry Logic When multiple entry indicators are enabled (e.g., RSI + Stochastic + MACD), the script requires all signals to align before generating an entry. Each indicator can be set for crossovers, crossunders, thresholds (above/below), etc. This “AND” logic aims to filter out low-confidence triggers. Single-Entry Intrabar SL/TP • One Position At a Time: Once an entry signal triggers, a trade opens at the bar’s close. • Intrabar Checks: Stop-loss and take-profit levels (if enabled) are monitored on every tick. If either is reached, the position closes immediately, without waiting for the bar to end. Exit Logic All Conditions Must Agree: If the trade is still open (SL/TP not triggered), then all enabled exit indicators must confirm a closure before the script exits on the bar’s close. Time Filter Optional Trading Window: You can activate a date/time range to constrain entries and exits strictly to that interval. Justification of Methodology Indicator Confluence: Combining multiple tools (RSI, MACD, etc.) can reduce noise and false signals. Intrabar SL/TP: Capturing real-time spikes or dips provides a more precise reflection of typical live trading scenarios. Single-Entry Model: Straightforward for both manual and automated tracking (especially important in bridging to bots). Custom Date Range: Helps refine backtesting for specific market conditions or to avoid known irregular data periods. How to Use Add the Script to Your Chart • In TradingView, open Indicators , search for “Multi-indicator Signal Builder” . • Click to add it to your chart. Configure Inputs • Time Filter: Set a start and end date for trades. • Alerts Messages: Input any JSON or text payload needed by your external service or bot. • Entry Conditions: Enable and configure any indicators (e.g., RSI, MACD) for a confluence-based entry. • Close Conditions: Enable exit indicators, along with optional SL (negative %) and TP (positive %) levels. Set Up Alerts • In TradingView, select “Create Alert” → Condition = “Any alert() function call” → choose this script. • Entry Alert: Triggers on the script’s entry signal. • Close Alert: Triggers on the script’s close signal (or if SL/TP is hit). • Skyrexio Alert Bots: You can route these alerts via webhook to Skyrexio alert bots to automate order execution on major crypto exchanges (or any other supported broker). Visual Reference • A condition table at the bottom summarizes active signals. • Statistics Label updates automatically as trades are closed, showing PnL stats and distribution metrics. Backtesting Guidelines Symbol/Timeframe: Works on multiple assets and timeframes; always do thorough testing. Realistic Costs: Adjust commissions and potential slippage to match typical exchange conditions. Risk Management: If using the built-in stop-loss/take-profit, set percentages that reflect your personal risk tolerance. Longer Test Horizons: Verify performance across diverse market cycles to gauge reliability. Example of statistic calculation Test Period: 2023-01-01 to 2025-12-31 Initial Capital: $1,000 Commission: 0.1%, Slippage ~5 ticks Trade Count: 680 (varies by strategy conditions) Win rate: 75.44% (varies by strategy conditions) Net Profit: +90.14% (varies by strategy conditions) Disclaimer This indicator is provided strictly for informational and educational purposes. It does not constitute financial or trading advice. Past performance never guarantees future results. Always test thoroughly in demo environments before using real capital. Enjoy exploring the Multi-Indicator Signal Builder! Experiment with different indicator combinations and adjust parameters to align with your trading preferences, whether you trade manually or link your alerts to external automation services. Happy trading and stay safe!
Wskaźnik Pine Script®
od Skyrexio
LBMA London Gold Fix Times [Auto DST]## Overview This lightweight indicator automatically marks the **LBMA Gold Price Fixing** times on your chart using vertical lines. It is designed specifically for **XAUUSD (Gold)** traders who need to monitor institutional liquidity and volatility shifts during the London session. The indicator tracks the two key daily fixing moments: * **AM Fix:** 10:30 (London Time) * **PM Fix:** 15:00 (London Time) ## Key Features * **🌍 Auto Daylight Saving Time (DST):** Built with the `Europe/London` timezone parameter. It automatically adjusts to British Summer Time (BST) and GMT, so you never have to manually change the UTC offset settings. * **⚡ Minimalist Design:** Draws clean vertical lines without cluttering your chart with text labels. * **🎨 Fully Customizable:** You can adjust the line color, width, and style (Solid, Dashed, Dotted) for both AM and PM sessions independently. ## Why are these times important? The London Gold Fix (LBMA Gold Price) is the global benchmark for physical gold settlement. Major institutions, central banks, and mining companies settle contracts at these times. Consequently, **10:30** and **15:00** (London time) often witness: 1. Significant spikes in volatility. 2. Trend reversals or accelerations. 3. Massive volume injection. ## Usage Tips * **Timeframe:** This indicator works best on **Intraday Timeframes** (1-minute to 30-minute charts). * *Note:* It may not be visible on H1 (1-hour) charts or higher because the fix times (e.g., 10:30) occur in the middle of an hourly candle. * **Setup:** Simply add it to your chart. No timezone configuration is required; the script calculates London time internally. ## Settings * **AM Fix Color:** Default is Blue (London Morning). * **PM Fix Color:** Default is Red (London Afternoon/US Morning overlap). * **Line Style:** Choose between Solid, Dashed, or Dotted lines. 概述 (Overview) 这是一个轻量级的辅助指标，通过垂直线在图表上自动标记 LBMA 伦敦金定盘价（LBMA Gold Price Fixing） 的时刻。它是专为 XAUUSD（黄金） 交易者设计的，旨在帮助大家捕捉伦敦时段内机构流动性和市场波动的关键节点。 该指标会自动锁定每天两个核心的定盘时间： 上午定盘 (AM Fix): 10:30 (伦敦时间) 下午定盘 (PM Fix): 15:00 (伦敦时间) 主要功能 (Key Features) 🌍 自动识别夏令时 (Auto DST): 代码内置 Europe/London 时区参数。无论英国处于夏令时 (BST) 还是冬令时 (GMT)，指标都会自动精准对齐，无需用户手动调整时区设置。 ⚡ 极简主义设计: 仅绘制干净的垂直线，不显示任何文字标签，避免遮挡K线或干扰视线。 🎨 高度可定制: 您可以独立调整上午和下午定盘线的颜色、粗细以及样式（实线、虚线或点线）。 为什么要关注这两个时间点？ LBMA 伦敦金定盘价是全球实物黄金结算的基准价格。大型金融机构、中央银行和金矿公司通常会在这个时间点集中进行合约结算。因此，在伦敦时间 10:30 和 15:00 前后，市场经常会出现： 波动率瞬间激增。 短期趋势的反转或加速。 巨量成交量的涌入。 使用建议 (Usage Tips) 适用周期: 建议在 日内分时图（1分钟、5分钟、15分钟或30分钟）上使用。 注意: 在 1小时 (H1) 或更大的周期上，线条可能无法显示，因为定盘时间（如 10:30）发生在整点K线的内部，无法被单独标记。 设置方法: 加载指标即可使用。无论您本地电脑的时间设置如何，脚本内部会自动计算正确的伦敦时间。 参数设置 (Settings) AM Fix Color: 上午定盘线颜色（默认为蓝色）。 PM Fix Color: 下午定盘线颜色（默认为红色，此时往往也是美盘初期的波动高峰）。 Line Style: 线条样式选择（实线、虚线、点线）。
Wskaźnik Pine Script®
od trad7595
Vdubus Momentum Lock (Overlay)The Top Indicator: "Vdubus Momentum Lock (Overlay)" The Bottom Indicator: "Vdubus TrixStoch HMA" Purpose: Precision timing. It shows you exactly when the pullbacks happen. The Trigger Zones (48 / 52): Buy Zone (Below 48): When the Blue line dips into this zone, the market is "reloading" for a buy. Sell Zone (Above 52): When the Blue line pops into this zone, the market is "reloading" for a sell. The Confluence Circles: Green Dot ("Dip"): Appears only if HMA is Green AND Trix is Rising. This filters out bad buy signals during downtrends. Red Dot ("Rally"): Appears only if HMA is Red AND Trix is Falling. This filters out bad sell signals during uptrends. 3. The Strategy: A. Entry Logic (The Sniper) Trend Check: Is HMA 100 Green or Red? Momentum Check: Is TRIX 34 agreeing with the HMA? Trigger: Buy: Stoch K crosses under 48. Sell: Stoch K crosses over 52. Pulse Re-Entry: If Trix momentum was lost briefly but snaps back into alignment, re-enter immediately (even without a Stoch signal). B. Exit Logic (The Safety) Momentum Exit: If the TRIX slope flips against you (e.g., you are Long, but Trix turns down), CLOSE IMMEDIATELY. Hard Deck (HMA Flip): If the HMA line changes color, CLOSE EVERYTHING. This is the emergency brake.
Wskaźnik Pine Script®
od vdubus
Adaptive Trend Envelope [BackQuant]Adaptive Trend Envelope Overview Adaptive Trend Envelope is a volatility-aware trend-following overlay designed to stay responsive in fast markets while remaining stable during slower conditions. It builds a dynamic trend spine from two exponential moving averages and surrounds it with an adaptive envelope whose width expands and contracts based on realized return volatility. The result is a clean, self-adjusting trend structure that reacts to market conditions instead of relying on fixed parameters. This indicator is built to answer three core questions directly on the chart: Is the market trending or neutral? If trending, in which direction is the dominant pressure? Where is the dynamic trend boundary that price should respect? Core trend spine At the heart of the indicator is a blended trend spine: A fast EMA captures short-term responsiveness. A slow EMA captures structural direction. A volatility-based blend weight dynamically shifts influence between the two. When short-term volatility is low relative to long-term volatility, the fast EMA has more influence, keeping the trend responsive. When volatility rises, the blend shifts toward the slow EMA, reducing noise and preventing overreaction. This blended output is then smoothed again to form the final trend spine, which acts as the structural backbone of the system. Volatility-adaptive envelope The envelope surrounding the trend spine is not based on ATR or fixed percentages. Instead, it is derived from: Log returns of price. An exponentially weighted variance estimate. A configurable multiplier that scales envelope width. This creates bands that automatically widen during volatile expansions and tighten during compression. The envelope therefore reflects the true statistical behavior of price rather than an arbitrary distance. Inner hysteresis band Inside the main envelope, an inner band is constructed using a hysteresis fraction. This inner zone is used to stabilize regime transitions: It prevents rapid flipping between bullish and bearish states. It allows trends to persist unless price meaningfully invalidates them. It reduces whipsaws in sideways conditions. Trend regime logic The indicator operates with three regime states: Bullish Bearish Neutral Regime changes are confirmed using a configurable number of bars outside the adaptive envelope: A bullish regime is confirmed when price closes above the upper envelope for the required number of bars. A bearish regime is confirmed when price closes below the lower envelope for the required number of bars. A trend exits back to neutral when price reverts through the trend spine. This structure ensures that trends are confirmed by sustained pressure rather than single-bar spikes. Active trend line Once a regime is active, the indicator plots a single dominant trend line: In a bullish regime, the lower envelope becomes the active trend support. In a bearish regime, the upper envelope becomes the active trend resistance. In neutral conditions, price itself is used as a placeholder. This creates a simple, actionable visual reference for trend-following decisions. Directional energy visualization The indicator uses layered fills to visualize directional pressure: Bullish energy fills appear when price holds above the active trend line. Bearish energy fills appear when price holds below the active trend line. Opacity gradients communicate strength and persistence rather than binary states. A subtle “rim” effect is added using ATR-based offsets to give depth and reinforce the active side of the trend without cluttering the chart. Signals and trend starts Discrete signals are generated only when a new trend regime begins: Buy signals appear at the first confirmed transition into a bullish regime. Sell signals appear at the first confirmed transition into a bearish regime. Signals are intentionally sparse. They are designed to mark regime shifts, not every pullback or continuation, making them suitable for higher-quality trend entries rather than frequent trading. Candle coloring Optional candle coloring reinforces regime context: Bullish regimes tint candles toward the bullish color. Bearish regimes tint candles toward the bearish color. Neutral states remain visually muted. This allows the chart to communicate trend state even when the envelope itself is partially hidden or de-emphasized. Alerts Built-in alerts are provided for key trend events: Bull trend start. Bear trend start. Transition from trend to neutral. Price crossing the trend spine. These alerts support hands-off trend monitoring across multiple instruments and timeframes. How to use it for trend following Trend identification Only trade in the direction of the active regime. Ignore counter-trend signals during confirmed trends. Entry alignment Use the first regime signal as a structural entry. Use pullbacks toward the active trend line as continuation opportunities. Trend management As long as price respects the active envelope boundary, the trend remains valid. A move back through the spine signals loss of trend structure. Market filtering Periods where the indicator remains neutral highlight non-trending environments. This helps avoid forcing trades during chop or compression. Adaptive Trend Envelope is designed to behave like a living trend structure. Instead of forcing price into static rules, it adapts to volatility, confirms direction through sustained pressure, and presents trend information in a clean, readable form that supports disciplined trend-following workflows.
Wskaźnik Pine Script®
od BackQuant
12
Volatility Regimes | GainzAlgo📊 OVERVIEW: ========= This is a comprehensive ATR-based trading system designed for professional traders who need advanced volatility analysis, precise trade management, and intelligent market regime detection. The indicator combines multiple proven volatility concepts into one powerful, customizable tool. ⭐ WHY THIS SYSTEM IS UNIQUE AND WORTHY OF PUBLICATION: ==================================================== This is not simply a collection of ATR-based indicators placed together. It represents a unified volatility analysis framework where each component is specifically designed to work in concert with the others, creating a complete trading workflow that cannot be replicated by using multiple separate indicators. 🔗 SYNERGISTIC INTEGRATION - How Components Work Together: 🧠 1. CONTEXT-AWARE ANALYSIS The Volatility Regime Detection acts as the "brain" of the system, classifying market conditions into 4 distinct phases. Every other component then adapts its behavior based on this regime classification: - ATR Bands expand/contract with regime changes - Stop Loss distances automatically adjust (tighter in compression, wider in high volatility) - Take Profit targets scale proportionally to current regime - Signal sensitivity filters itself based on market phase 📐 2. UNIFIED VOLATILITY FOUNDATION All calculations share a single ATR baseline calculation, ensuring internal consistency across the entire system. When ATR changes, every element updates in perfect synchronization: - Bands recalculate from the same ATR value - Risk management levels use the same volatility measurement - Regime classification and signals reference identical data 🛡️ 3. INTEGRATED RISK MANAGEMENT The system doesn't just show WHERE to enter - it calculates HOW MUCH to risk: - Dynamic Stop Loss adapts to current ATR automatically - Position Size Calculator uses the dynamic stop to compute exact quantities - Take Profit levels scale proportionally, maintaining optimal risk:reward ✅ 4. TWO-STAGE SIGNAL CONFIRMATION The alert system creates a logical progression: Step 1: Volatility Breakout → Market energy is building Step 2: Trend Confirmation → Direction confirmed with volatility support This prevents false breakouts by requiring both volatility AND direction. 🏦 5. PROFESSIONAL WORKFLOW INTEGRATION The system mirrors how institutional traders analyze markets: Phase 1: Assess regime → What's the market doing? Phase 2: Identify setup → Where's the opportunity? Phase 3: Calculate risk → What's my exposure? Phase 4: Set targets → Where do I take profit? Phase 5: Monitor regime → When do conditions change? ❌ WHY NOT USE SEPARATE INDICATORS? - Separate ATR Bands: Don't know about regime changes, remain static - Separate Regime Indicator: Doesn't automatically adjust stop/targets - Separate Position Calculator: Doesn't know your actual ATR-based stop - Manual Integration: Requires constant mental calculation and cross-referencing 🧮 DETAILED CALCULATION METHODOLOGY: ================================= 📏 ATR (AVERAGE TRUE RANGE) CALCULATION: - True Range = Maximum of: 1. Current High - Current Low 2. Absolute value of (Current High - Previous Close) 3. Absolute value of (Current Low - Previous Close) - ATR = Simple Moving Average of True Range over specified period (default: 14) 📊 DYNAMIC ATR BANDS: - Upper Band = Current Close + (ATR × Band Multiplier) - Lower Band = Current Close - (ATR × Band Multiplier) - Band 1: 1.0× ATR (closest support/resistance) - Band 2: 2.0× ATR (intermediate zone) - Band 3: 3.0× ATR (extended zone) 🌡️ VOLATILITY REGIME CLASSIFICATION: Step 1: Calculate ATR Baseline - Baseline ATR = SMA or EMA of ATR over long period (default: 50 bars) - This represents "normal" volatility for the instrument Step 2: Calculate ATR Ratio - ATR Ratio = Current ATR ÷ Baseline ATR - Example: If current ATR = 70 and baseline = 50, ratio = 1.40 Step 3: Classify Regime Based on Ratio - COMPRESSION: Ratio < 0.70 (ATR is 30% below normal) Market consolidating, volatility contracting, energy building - EXPANSION: Ratio between 1.15 and 1.40 (ATR is 15-40% above normal) Volatility breaking out, early phase of directional movement - HIGH VOLATILITY: Ratio > 1.40 (ATR is 40%+ above normal) Strong sustained trend with high participation - EXHAUSTION: ATR declining after high volatility period Requires: Previous high ratio + declining ATR over X bars (default: 5) Trend maturity, potential reversal or consolidation approaching 🛑 DYNAMIC STOP LOSS CALCULATION: - For Long Positions: Stop Loss = Entry Price - (ATR × SL Multiplier) - For Short Positions: Stop Loss = Entry Price + (ATR × SL Multiplier) - Default Multiplier: 2.0× ATR - Adjusts automatically: Wider in high volatility, tighter in compression 🎯 TAKE PROFIT LEVELS: - TP1 = Entry Price ± (ATR × TP1 Multiplier) - TP2 = Entry Price ± (ATR × TP2 Multiplier) - TP3 = Entry Price ± (ATR × TP3 Multiplier) - Direction (+ or -) depends on trade direction 📦 POSITION SIZE CALCULATION: Formula: Position Size = Account Risk Amount ÷ Stop Loss Distance Step-by-step: 1. Risk Amount = Account Size × (Risk Percentage ÷ 100) 2. Stop Distance = |Entry Price - Stop Loss Price| 3. Position Size = Risk Amount ÷ Stop Distance 📈 ATR PERCENTILE RANKING: - >80% = Extremely high volatility - 20-80% = Normal volatility range - <20% = Extremely low volatility 🌀 VOLATILITY CONTRACTION PATTERN: Detects extended low-volatility periods indicating imminent breakout. 🧭 TREND DETECTION SIGNALS: Bullish: Price > MA AND Current ATR > ATR MA Bearish: Price < MA AND Current ATR > ATR MA ⚡ VOLATILITY BREAKOUT SIGNALS: Triggered when ATR exceeds its moving average by a defined threshold. 🧩 CORE FEATURES: ============== 1. ATR BANDS (Dynamic Support/Resistance) 2. VOLATILITY REGIME DETECTION 3. DYNAMIC STOP LOSS SYSTEM 4. MULTIPLE TAKE PROFIT LEVELS 5. SUPPORT & RESISTANCE LEVELS 6. RISK MANAGEMENT CALCULATOR 7. ATR PERCENTILE RANKING 8. VOLATILITY CONTRACTION PATTERN 9. TREND DETECTION SIGNALS 10. VOLATILITY BREAKOUT SIGNALS ⚙️ RECOMMENDED SETTINGS BY TRADING STYLE: ====================================== DAY TRADING • SWING TRADING • POSITION TRADING • SCALPING 📘 HOW TO USE THIS INDICATOR: ========================== STEP 1: Identify Market Regime STEP 2: Wait for Entry Signal STEP 3: Set Stop Loss STEP 4: Set Take Profits STEP 5: Position Sizing STEP 6: Monitor & Manage 🔔 ALERT SYSTEM: ============= Alerts for volatility breakouts, trend changes, regime transitions, ATR band crossings, contraction completion, and percentile extremes. 🎨 CUSTOMIZATION: ============== All visuals, thresholds, multipliers, colors, alerts, and risk parameters can be fully customized. ⚠️ IMPORTANT DISCLAIMER: ===================== This indicator is a volatility analysis tool and does NOT provide financial advice. Past performance does not guarantee future results. All trading involves substantial risk. All trading decisions are the sole responsibility of the user.
Wskaźnik Pine Script®
od GainzAlgo
103
Adaptive Strength Overlay (MTF) [BackQuant]Adaptive Strength Overlay (MTF) A multi-timeframe RSI strength visualizer that projects oscillator “pressure” directly onto price using adaptive gradient fills between percent bands. Built to make strength, exhaustion, and regime context readable at a glance, without needing to stare at a separate oscillator panel. Mean-Reversion mode example What this indicator does This indicator converts RSI strength into a chart overlay that reacts to momentum and extremes, then visualizes it as colored “pressure zones” around price. Instead of plotting RSI in a sub-window, it: Builds 1 to 3 symmetric percent bands above and below price. Computes RSI strength on up to 3 different timeframes (MTF). Smooths RSI with your selected moving average type. Maps RSI values into discrete transparency “buckets”. Fills between the bands with a gradient whose opacity reflects strength or exhaustion. Displays a compact RSI table for all enabled timeframes. Provides alert conditions for extremes and midline shifts on each timeframe. The result is an overlay that looks like a dynamic envelope. When strength rises, the envelope “lights up” in the direction of the move. When strength becomes stretched, the outer zones become visually prominent. Core idea: “Strength as an overlay” RSI is normally interpreted in a separate oscillator panel. That makes context-switching slow: You check price action. You look down at RSI. You mentally translate RSI into risk or trend bias. This script removes that translation step by projecting strength directly onto the price area, using band fills as a visual language: More visible fill = stronger strength or more extreme condition (depending on mode). Less visible fill = weak strength or neutral state. Two operating modes 1) Trend mode Trend mode emphasizes strength aligned with direction: When RSI is strong on the upside, upper bands become more visible. When RSI is strong on the downside, lower bands become more visible. Neutral RSI fades, so the chart de-clutters during chop. Use Trend mode when: You want a clean trend-following overlay. You want to quickly see which timeframe(s) are powering the move. You want to filter entries to moments when strength confirms direction. 2) Mean-Reversion mode Mean-Reversion mode flips the emphasis to highlight exhaustion against the move : Upper extremes become a “potential exhaustion” cue. Lower extremes become a “potential exhaustion” cue. The overlay is tuned to make stretched conditions obvious. This is not an automatic “short overbought / long oversold” system. It is a visualization mode that makes “extended” conditions stand out faster, especially when multiple timeframes align. How the bands work (Percent Bands) The indicator constructs up to three symmetric envelopes around price: Band 1: percent1 scaled by scale Band 2: percent2 scaled by scale (optional) Band 3: percent3 scaled by scale (optional) The percent bands are simple deviations from the selected price source: Upper = price * (1 + (percent * scaling)/100) Lower = price * (1 - (percent * scaling)/100) Why this matters: It anchors “strength visualization” to meaningful price distance. It makes the overlay comparable across assets because it’s percent-based. It gives you a consistent spatial frame for reading momentum versus extension. Multi-timeframe engine (MTF) The script runs the same strength calculation on up to three timeframes: Timeframe 1 uses the chart timeframe by default (empty string input). Timeframe 2 is optional and defaults to Daily. Timeframe 3 is optional and defaults to Weekly. Each timeframe has: Its own RSI period (len, len2, len3). Its own smoothing length (slen, slen2, slen3). The same smoothing type selection (EMA, HMA, etc). This creates a layered view: TF1 often reflects tactical pressure (entries/exits). TF2 reflects structural pressure (swing context). TF3 reflects macro bias (regime context). When multiple timeframes agree, the fills stack and the overlay becomes visually louder. When they disagree, the overlay looks mixed or muted, which is exactly the point. Smoothing options (why so many) Raw RSI can be noisy. This script lets you smooth RSI with multiple MA types, which changes how “responsive” the overlay feels: EMA/RMA smooth without lagging as hard as SMA. HMA responds faster but can be twitchy. LINREG can feel more “structural”. ALMA and T3/TEMA provide heavier smoothing profiles with different lag characteristics. This isn’t cosmetic. Your smoothing choice affects: How early the overlay “lights up” in Trend mode. How long extremes remain highlighted in Mean-Reversion mode. How often fills flicker in chop. Strength mapping (the transparency buckets) Instead of mapping RSI to a continuous color scale, the script uses a discrete transparency ladder. That creates a clean, readable visual that avoids constant flickering. The logic assigns two transparency values per timeframe: Upper-side transparency responds to lower RSI zones (weak upside strength). Lower-side transparency responds to higher RSI zones (strong upside strength). Then the script uses those transparencies differently depending on mode: Trend mode shows “strength aligned with direction”. Mean-Reversion mode swaps the emphasis so “extremes” stand out as potential stretch. You can think of it as: Trend mode highlights continuation strength. Mean-Reversion mode highlights potential exhaustion. Fill stacking (how the overlay is built) The overlay uses layered fills: Fill from price to Band 1 Fill from Band 1 to Band 2 (if enabled) Fill from Band 2 to Band 3 (if enabled) Upper side uses the negative color (typically red) and lower side uses the positive color (typically green), because upper bands represent “above price” space and lower bands represent “below price” space. The intensity is controlled by the computed transparency per timeframe and selected mode. Important behavior: Disabling Band 2 or Band 3 can change how the stacked fills look, because you are removing fill segments. If you want a clean look, run only Band 1. If you want a “regime heat” look, run Bands 1–3 with higher scaling. Table (MTF RSI dashboard) A compact table prints RSI values for each configured timeframe: Row labels show TF. Values show the smoothed RSI output that drives the overlay. Use it for quick confirmation: If overlay looks strong but table RSI is neutral, your band settings might be too tight. If TF3 RSI is extreme while TF1 is neutral, you are likely in a macro stretched regime with local consolidation. Alerts (built-in) Alerts are provided for each timeframe separately, covering: Entering upper extreme (cross above 70) Exiting upper extreme (cross below 70) Entering lower extreme (cross below 30) Exiting lower extreme (cross above 30) Bullish midline cross (cross above 50) Bearish midline cross (cross below 50) This enables workflows like: Notify when TF2 enters extreme, then wait for TF1 mean-reversion confirmation. Notify when TF3 crosses midline, then only take TF1 trend setups in that direction. How to use it (practical reads) Trend mode reads Strong continuation: TF1 and TF2 fills become clearly visible on the same side. Healthy pullback: TF1 fades but TF2 stays visible, suggesting underlying structure remains strong. Chop warning: fills alternate or remain mostly invisible, indicating neutral strength. Mean-Reversion mode reads Exhaustion zones: outer fills become prominent near the extremes, signaling stretched conditions. Compression after extreme: fill fades while price stabilizes, suggesting “cooling off” rather than immediate reversal. Multi-TF stretch: TF2 and TF3 extremes together often mark higher significance zones. Recommended setup presets Preset A: Clean trend overlay Mode: Trend Bands: only Band 1 Scale: 1–2 Smoothing: EMA, moderate slen (6–10) TF2: Daily on intraday charts Preset B: Regime and exhaustion mapper Mode: Mean-Reversion Bands: Bands 1–3 Scale: 2–4 Smoothing: T3 or RMA, slightly higher slen TF2: Daily, TF3: Weekly Limitations This is a strength visualization tool, not a full entry/exit system. Percent bands are not volatility-adjusted, they are distance frames. In very high vol conditions, you may need higher band percentages or higher scaling. MTF values update on their own timeframe closes, so higher timeframes will step rather than update every bar.
Wskaźnik Pine Script®
od BackQuant
Polynomial Regression Channel [ChartPrime]⯁ OVERVIEW The Polynomial Regression Channel fits price action using advanced polynomial regression, extending beyond simple linear or logarithmic models. By leveraging matrix calculations, it builds a curved regression line that adapts to swings more naturally. The channel includes extrapolated forward projections, helping traders visualize where price may gravitate in the near future. Midline color shifts reflect directional bias, while prediction ranges are marked with dashed extensions, labeled prices, and a live table for clarity. ⯁ KEY FEATURES Polynomial Regression Core: Uses matrix algebra to calculate a polynomial fit of customizable degree, adapting to complex, non-linear market structures. polyreg(source, length, degree, extrapolate) => total = length + extrapolate X_all = matrix.new(total, degree + 1, 0.0) for i = 0 to total - 1 for j = 0 to degree matrix.set(X_all, i, j, math.pow(i, j)) // y (length × 1), oldest→newest over the fit window y = matrix.new(length, 1, 0.0) for i = 0 to length - 1 matrix.set(y, i, 0, source ) // X_train (first `length` rows of X_all) X_tr = matrix.new(length, degree + 1, 0.0) for i = 0 to length - 1 for j = 0 to degree matrix.set(X_tr, i, j, matrix.get(X_all, i, j)) // OLS via normal equations: (X'X)^(-1)b = X'y ⇒ b = (X'X)^(-1) X'y Xt = matrix.transpose(X_tr) // X' XtX = matrix.mult(Xt, X_tr) // (X'X) Xty = matrix.mult(Xt, y) // X'y XtX_inv = matrix.inv(XtX) // (X'X)^(-1) b = matrix.mult(XtX_inv, Xty) // b = (X'X)^(-1) X'y // Predictions for all rows (fit + extrap) preds = matrix.mult(X_all, matrix.col(b,0)) preds Extrapolated Future Projections: Forward-looking range (dashed lines + circular markers) shows where the fitted polynomial suggests price may move. Dynamic Midline Coloring: Regression midline shifts green when slope turns upward and magenta when slope turns downward, giving instant directional context. Channel Boundaries: Upper and lower levels expand from the midline using a volatility-based offset, framing potential overbought and oversold conditions. Top-Right Data Table: A live table displays Upper, Middle, and Lower Prediction values, updating in real time for quick reference without scanning the chart. ⯁ USAGE Use the regression midline to gauge underlying market bias; green slopes suggest continuation, magenta slopes caution for weakness. Watch dashed extrapolated ranges as potential targets or reaction zones during upcoming sessions. Price labels and table values act as precise reference levels for planning entries, exits, or stop placement. Increase Degree for more curve-fitting on choppy markets, or keep it low for broader trend approximation. Adjust Period and Extrapolate length to balance stability vs. responsiveness. ⯁ CONCLUSION The Polynomial Regression Channel offers a mathematically advanced way to visualize price trends and anticipate future paths. With matrix-driven polynomial fitting, extrapolated projections, and integrated live labels, it combines statistical rigor with practical trading visuals — a robust upgrade over standard regression channels.
Wskaźnik Pine Script®
od ChartPrime
13