Mulakan

Trendfollowing

Hybrid Pivot SuperTrend and Range DetectorHybrid Pivot SuperTrend and Range Detector: A Complete Market Phase Solution Introduction: The Purpose of the Indicator Financial markets inherently operate in two distinct phases: trending and ranging. Traditional technical indicators often excel in one environment but fail drastically in the other. Trend-following tools generate false signals during market consolidations, while oscillators and mean-reversion tools get overwhelmed during explosive breakouts. The Hybrid Pivot SuperTrend and Range Detector was engineered to solve this exact dilemma. It is an advanced, dual-engine technical analysis tool designed to dynamically adapt to the current market state. By merging a sophisticated consolidation detector with a structural trend-following system, this script identifies high-probability trading opportunities regardless of whether the market is moving sideways or accelerating into a new trend. Its primary purpose is to provide traders with clear, actionable intelligence, allowing them to trade support and resistance bounces during flat markets, and seamlessly transition into trend-following mode the moment a breakout occurs. Core Mechanics: How It Detects Buy and Sell Signals This indicator is built upon a complex interaction between market volatility, structural pivot points, and price action behavior. It divides its logic into distinct engines that work in tandem: 1. The Dynamic Range Detector The foundation of the ranging logic utilizes a Simple Moving Average (SMA) paired with an Average True Range (ATR) multiplier. The script scans historical price action for consecutive bars where the price remains tightly coiled within the SMA plus/minus the ATR threshold. Once this consolidation is mathematically confirmed, the script draws a visual boundary box. Range Buy (R-Buy): Triggered when the price dips into the lower boundary (Support) and shows rejection, suggesting a bounce back to the mean. Range Sell (R-Sell): Triggered when the price pushes into the upper boundary (Resistance) and is rejected downward. To eliminate visual noise, the script features a smart signal-locking mechanism. Once a valid trend breakout occurs, it disables all "R-Signals" until a brand-new consolidation box is formed, preventing traders from catching falling knives. 2. The Pivot Point SuperTrend Unlike the traditional SuperTrend that relies on a simple median price, this script calculates its baseline using structural Pivot Highs and Pivot Lows. This creates a weighted, more structurally sound center line. By applying an ATR multiplier (Factor) to this pivot center line, it forms dynamic upper and lower trailing stop bands. When the price crosses these bands, the trend direction flips. 3. Breakout and Trend Signals (T-Signals) The trend system issues signals when momentum shifts: Trend Buy (T-Buy): Initiated when the SuperTrend flips bullish, or an existing bullish trend coincides with a clean breakout above the Range Detector's upper box. Trend Sell (T-Sell): Initiated when the SuperTrend flips bearish, or a bearish trend coincides with a breakdown below the Range box. 4. The Smart Retest & Pullback Engine One of the most advanced features of this script is its order-execution delay system. Breakouts are notoriously prone to "fake-outs." When a T-Buy or T-Sell is detected, the indicator can be set to hold the signal in a pending state. It calculates a target retracement level (measured in standard price ticks or percentages). The final signal is only plotted when the price pulls back to retest this breakout level. If the market is too aggressive and runs away without retesting, a built-in safety timer (max_wait_bars) ensures the signal fires anyway, guaranteeing you do not miss a massive parabolic move. Practical Application: Setup and Ideal Markets Because of its highly modular settings, this indicator is incredibly versatile, but it requires tuning based on the asset class and timeframe you are trading. Recommended Settings: For Intraday Traders (15m to 1H): Keep the Range Width relatively tight (around 0.8 to 1.5) to catch micro-consolidations. Set the SuperTrend ATR Factor to 2.0 or 3.0 to react quickly to intraday momentum shifts. The Retest mode should be set to "Ticks" to capitalize on precise order block retests. For Swing Traders (4H to Daily): Increase the Minimum Range Length to ensure you are only identifying major multi-day consolidations. A wider SuperTrend ATR Factor (3.0 to 4.0) is recommended to avoid getting chopped out by daily market noise. Suitable Markets: Forex: Currency pairs like EUR/USD or GBP/JPY are highly mean-reverting and respect structural ranges well, making the Range Detector exceptionally profitable during the Asian or early London sessions. Cryptocurrency: Bitcoin and altcoins are notorious for long periods of low-volatility chopping followed by violent breakouts. The Hybrid system shines here, especially using the Retest Engine to avoid the initial breakout manipulation (liquidity grabs) common in crypto. Indices: Assets like the S&P 500 or NASDAQ tend to have a strong upward drift. Traders can use the SuperTrend component to trail stop-losses effectively while using the Range Detector to buy minor pullbacks during the broader uptrend. Attribution: Pivot Point SuperTrend A special thanks and full credit must be given to the talented TradingView developer, LonesomeTheblue, for the original concept and foundational code of the Pivot Point SuperTrend. By innovatively utilizing structural Pivot Highs and Lows to calculate the baseline rather than the traditional median price, LonesomeTheblue created a significantly more robust trend-following tool. Their brilliant logic serves as the critical trend-detection engine within this hybrid script, and this adaptation builds directly upon their exceptional work. Attribution: Range Detector I would also like to express my sincere gratitude and attribute full credit to LuxAlgo for the foundational logic behind the Range Detector component. LuxAlgo’s original open-source script masterfully demonstrated how to mathematically identify market consolidations using a combination of a Simple Moving Average and ATR thresholds. Their elegant method for drawing dynamic support and resistance boxes provides the core ranging mechanics of this hybrid indicator, allowing it to expertly navigate sideways market conditions.
Penunjuk Pine Script®
oleh TaninWiselyWealth
Trend Structure Scale-In👋 What's up traders, Decided to finally share this one after a lot of testing, tweaking, and more chart staring than I'd like to admit. Trend Mitigation Scale-In Pro is built around a simple idea: trade with the trend, wait for quality pullbacks, and let probabilities do the heavy lifting. The strategy combines: • EMA200 trend filtering • Pivot structure detection • Engulfing candle confirmation • Mitigation-based entries • Controlled scale-ins on pullbacks • Fixed basket take-profit management The goal isn't to catch every move. It's to stay aligned with the bigger trend and focus on higher-quality setups while keeping execution simple. Like every strategy, it's not perfect and should always be tested thoroughly before being used on a live account. I'm constantly building, testing, and improving new ideas, so feedback is always appreciated. If you find it useful, a ⭐ Favorite, 👍 Like, or 🚀 Boost helps more than you think and motivates me to keep sharing. Wishing everyone green charts and disciplined trading. 🏆 Good luck out there. — Tomukasss
Strategi Pine Script®
oleh Tomukasss
1
Support and Resistance Retest Breakout Signals [AlgoAlpha]🟠 OVERVIEW This script identifies support and resistance zones using pairs of swing highs and swing lows that occur within a volatility-adjusted price tolerance. Instead of drawing levels from a single pivot, it waits for two matching swings to confirm a zone, helping filter out isolated highs and lows that may have little significance. Each zone contains a buy/sell volume balance estimate calculated from lower timeframe data. This provides additional context about the activity that formed the zone and helps visualize whether buying or selling pressure was more dominant during its creation. The script also tracks how price interacts with existing zones after they form. When price fully breaks through a zone and later retests it, bullish or bearish retest signals are generated based on the direction of the breakout. 🟠 CONCEPTS Swing Matching — Two swing highs or two swing lows must occur within a volatility-adjusted tolerance before a resistance or support zone is created. Volatility-Adjusted Tolerance — The script uses the standard deviation of price over a lookback period to determine how close swing points must be to qualify as the same zone. Support and Resistance Zones — Zones are built from the full price structure around matched swing points rather than from a single horizontal price level. Volume Balance — Lower timeframe buying and selling volume is aggregated between the two swings that formed the zone to estimate directional participation. Breakout Retest Logic — Price must first move completely beyond a zone, then close through it, and finally revisit the zone before a retest signal is confirmed. 🟠 FEATURES Support and Resistance Zones — Highlights confirmed support and resistance areas formed from recurring swing lows and swing highs. Volume Balance Display — Shows buy and sell volume balance bars inside each zone for visual participation analysis. Retest Signals — Displays signals when price breaks above a zone and successfully retests it. 🟠 HOW TO USE Watch for newly formed support and resistance zones to identify areas where price has repeatedly reacted. Compare the buy/sell balance bars inside each zone to understand the volume profile that formed the level. Look for bullish retest signals after price breaks above a resistance zone and returns to test it from above. Look for bearish retest signals after price breaks below a support zone and returns to test it from below. Use larger Time Horizon values to focus on major market structure and smaller values to detect more frequent zones. Enable overlap prevention when you want fewer but more distinct zones on the chart. Use alerts to monitor new zones and confirmed retest events without continuously watching the chart. 🟠 CONCLUSION Support and Resistance Retest Breakout Signals combines volatility-adjusted zone detection, lower timeframe volume balance analysis, and breakout retest confirmation into a single workflow. It identifies areas where price has repeatedly reacted, measures the participation behind those areas, and tracks whether breakouts successfully hold during retests. This gives traders a structured view of support, resistance, and post-breakout behavior.
Penunjuk Pine Script®
oleh AlgoAlpha
5
Skew MTF TrendMulti-timeframe trend structure at a glance. Three fully configurable timeframes on one chart every average colored by its native timeframe's trend state: green above, red below, gray neutral. Main Timeframe (default 4H) EMAs 21, 50, 100, 200. A ribbon fills between the 21/50/100 — green when bull-stacked, red when bear-stacked, gray when mixed. HTF 1 (default Daily) EMAs 50 and 200 with trend coloring. HTF 2 (default Weekly) EMAs 21, 50, 200 and SMA 200 with trend coloring. All three timeframes can be changed to any combination. Linewidth scales by layer (Main: 2, HTF 1: 3, HTF 2: 4) for instant visual separation. Master toggles show/hide each timeframe with one click. Every period and line is independently configurable. Trend Table A compact table in the bottom right reads trend state per timeframe using the 50 EMA and 200 EMA: ▲ Green — price above both the 50 EMA and 200 EMA (uptrend) ▼ Red — price below both the 50 EMA and 200 EMA (downtrend) ● Gray — price between the 50 and 200, or mixed (pending) The table dynamically displays each selected timeframe, updating automatically when settings change. Trading with it The 50 EMA is the key level that defines the trend. The 200 EMA is the level you trade into. Uptrend — Price holds the 50 EMA as support, table showing ▲. Dips into the 50 EMA and the ribbon are buying opportunities. If price dips deeper, the 200 EMA is the next level to bid — the last line of trend defense. Downtrend — Price rejects the 50 EMA as resistance, table showing ▼. Rips into the 50 EMA and the ribbon are selling opportunities. The 200 EMA above is the level to sell into on deeper retracements. Chop — Price is caught between the 50 and 200, table showing ● on one or more timeframes. Neither side has control. Reduce size or sit flat until the 50 EMA cleanly holds or rejects. When all three timeframes agree, the trend is strong. When they disagree, conditions are transitional.
Penunjuk Pine Script®
oleh SkewTrades
2
UT Bot v2 - ATR Trailing StopIf you're familiar with the original UT Bot: the core logic is the same. This version focuses on cleaner visuals, improved code quality, better customization, built-in alerts, and integrated strategy support, while preserving the underlying ATR trailing stop methodology. UT Bot v2 is a modernized implementation of the original UT Bot, built around the same ATR-based trailing stop logic that made the original popular. The indicator uses an adaptive trailing stop based on the Average True Range (ATR). When price crosses the stop level, the trend state flips and a new trailing stop begins to form in the opposite direction. Rather than changing the algorithm, this release focuses on making it clearer, easier to configure, and more practical for everyday use. Features Classic ATR trailing stop logic Clean and intuitive trend visualization Buy and sell signal markers Configurable ATR period and multiplier Customizable price source Built-in TradingView alerts Integrated strategy for backtesting Lightweight and easy to understand Methodology UT Bot v2 is not a predictive indicator. It does not attempt to forecast future price movements or identify exact market tops and bottoms. Instead, it is a trend-following and risk management tool that dynamically adjusts its trailing stop using market volatility measured by ATR. Like most trend-following systems, it tends to perform best during sustained directional moves and may generate whipsaws during ranging or low-volatility conditions. Philosophy The goal of UT Bot has always been to provide a simple, transparent, and systematic trailing stop framework, rather than a "holy grail" trading system. This version preserves that philosophy while improving readability, customization, visualization, and integration with TradingView alerts and strategy testing.
Strategi Pine Script®
oleh QuantNomad
5
Dual Range Reversion and Trend Tracker By WiselyWealth Comprehensive Guide to the Dual Range Reversion and Trend Tracker 1. Introduction: Purpose and Concept The Dual Range Reversion and Trend Tracker is a sophisticated, highly versatile technical indicator built in Pine Script. Financial markets generally alternate between two distinct behavioral phases: range-bound consolidation and directional trends. Traditional indicators often fail because they are designed to excel in only one of these environments, leading to false signals, or "whipsaws," when market conditions inevitably shift. This script is engineered to solve that exact problem. Its primary purpose is to seamlessly adapt to shifting market structures by combining a mean-reversion strategy for sideways markets with a robust trend-following system for directional breakouts. By utilizing a smart, internal synchronization logic that prevents these two contrasting methodologies from clashing, the indicator provides traders with a cohesive, all-in-one suite designed to maximize their trading edge in both choppy and trending environments. 2. Core Working Mechanics: Signal Detection Engine This indicator operates through two distinct mathematical engines, filtering its entries through an advanced pullback system. The Range Detector and Reversion Engine (R-Signals): The foundation of the sideways market analysis relies on a dynamically calculated Average True Range (ATR) band plotted around a Simple Moving Average (SMA). The script continuously scans for price action that remains confined within these ATR bands for a minimum consecutive number of bars. When the price successfully stays within this threshold, the script maps out a visible "Range Box" representing an active consolidation zone. Instead of trading the breakout, this specific engine hunts for liquidity sweeps or false breakouts. An R-Buy is triggered when the price drops below the established lower boundary but manages to close back inside the box, effectively catching a "spring" or bear trap. Conversely, an R-Sell is generated when the price pierces the upper boundary but fails to hold, closing back inside to signal a bull trap. The Alpha Trend Tracker (T-Signals): When the market breaks out of consolidation and establishes a true directional move, the Alpha Trend component takes over. This system gauges momentum using either the Money Flow Index (MFI) or the Relative Strength Index (RSI), smoothed by an ATR-based trailing threshold. A T-Buy or T-Sell signal is triggered when the underlying Alpha Trend line crosses its own historical value, indicating a fundamental shift in broader market momentum. Advanced Retest and Pullback Filter: Unlike amateur trend systems that buy blindly into overextended breakouts, this script features an intelligent "Retest Mode." When a preliminary trend signal fires, the script calculates a specific pullback target—measured in either price ticks or a percentage drop. The system then enters a "pending" state. The final T-Buy or T-Sell signal will only be printed on the chart if the price retraces to touch this calculated target, ensuring a superior entry price. If the market aggressively runs away without pulling back, a built-in timer (max_wait_bars) ensures the trade is still executed before the move is missed entirely. Smart Signal Synchronization (The Lock Mechanism): Mean reversion and trend following are inherently conflicting strategies. To prevent chaotic, overlapping signals, the script employs an automatic locking mechanism. The moment a directional trend signal (T-Signal) fires, the script instantly disables all range-bound reversion signals (R-Signals). The reversion engine remains locked until the trend exhausts itself and the algorithm detects the formation of a brand-new, valid consolidation box. 3. Application: How to Use and Best Practices To extract the maximum value from the Dual Range Reversion and Trend Tracker, traders must align the script’s parameters with the specific asset class being traded. Optimal Settings: For highly volatile assets like cryptocurrencies, consider increasing the "Range Width" (ATR Multiplier) to 1.5 or 2.0 to prevent minor wicks from constantly invalidating the range boxes. If you are trading fast-moving indices (like NASDAQ), keep the "Retest Value" relatively tight (e.g., a small tick count) and the "Max Candles to wait" to 3-5 bars. This ensures you catch the micro-pullbacks without getting left behind. Additionally, if you are trading Forex pairs on broker feeds that do not provide reliable volume data, you must check the "Change calculation (no volume data)" box. This shifts the Alpha Trend engine from using MFI to RSI, maintaining the indicator's mathematical integrity. Suitable Markets and Timeframes: This indicator thrives in markets that display clear structural shifts between accumulation phases and aggressive markup phases. It is highly effective on major Forex pairs, large-cap Cryptocurrencies, and global Equity Indices. While it functions on lower timeframes, the sheer amount of intraday market noise can trigger premature signals. It is highly recommended to deploy this indicator on medium to high timeframes—such as the 15-minute, 1-hour, or 4-hour charts. These timeframes provide the algorithm with enough clean data to establish mathematically significant ranges, leading to highly reliable trend breakouts and reversion setups. Credits and Acknowledgements This indicator, the Dual Range Reversion and Trend Tracker, would not be possible without the brilliant foundational contributions of two highly respected developers in the TradingView community. First, I would like to extend my deepest gratitude to KivancOzbilgic for the original AlphaTrend indicator. His innovative approach to combining ATR with volume-weighted momentum (MFI/RSI) forms the core of the trend-tracking engine in this script, allowing for highly accurate breakout detections and dynamic trailing support. Second, a special thanks to LuxAlgo for their exceptional Range Detector script. Their elegant logic for mathematically defining and visually highlighting market consolidations serves as the exact backbone for the mean-reversion phase of this tool. This combined script is a derivative work that bridges these two powerful concepts into a unified trading system. All credits for the foundational mathematical structures belong to KivancOzbilgic and LuxAlgo.
Penunjuk Pine Script®
oleh TaninWiselyWealth
Momentum Leader ATR Risk MapMomentum Leader ATR Risk Map is a position-management indicator designed to help traders visualize where a leading stock is trading relative to its 50-period SMA and ATR-based extension levels. The goal is not to generate automatic buy or sell signals. Instead, this tool provides a structured risk map for momentum leaders by combining: • ATR extension from a configurable SMA baseline • Positive extension bands for profit-taking and risk management • Negative extension bands for pullback, add-zone, and damage-control reference levels • Relative strength scoring versus a benchmark such as SPY • SMA trend status • Optional liquidity, sector RS, and industry RS filters • Nearest upside and downside map levels shown directly in the table By default, the indicator uses a Daily anchor and 50-period SMA baseline, making it suitable for swing trading and longer-term position management in momentum leaders. A 24-hour / 1440-minute anchor is also available for users who prefer to evaluate instruments with extended-hours or near-24-hour trading behavior. Core Risk Map Levels: Positive Extension Zones: • +2.95x ATR: High-RS leader zone • +4.56x ATR: Super momentum zone • +5.27x ATR: Approximate 2σ risk zone • +7.83x ATR: Approximate 3σ profit zone • +10.00x ATR: Extreme / trail-only zone Negative Extension Zones: • -1.00x ATR: Pullback • -2.00x ATR: Add zone • -3.00x ATR: Deep pullback • -4.56x ATR: Damage control • -5.27x ATR: Washout / reclaim-needed zone The table is designed to answer a few practical questions quickly: • Is the stock still acting like a leader? • Is price extended, normal, or damaged relative to the SMA/ATR map? • Is the SMA trend still constructive? • Is relative strength still intact across multiple lookback windows? • Where is the nearest upside ATR map level? • Where is the nearest downside ATR map level? Relative Strength Logic: The RS Score compares the current symbol against a user-selected benchmark over 21, 63, 126, and 252 anchor bars. A score of 4 of 4 means the symbol is outperforming the benchmark across all four lookback windows. Optional Advanced Inputs: The indicator includes optional sector and industry RS inputs for users who want to manually compare the stock against relevant ETFs such as XLK, SMH, IGV, XBI, XLE, XLF, or other sector/industry proxies. These are turned off by default to keep the tool frictionless. A liquidity filter is also available, but it is turned off by default so the indicator can remain focused on the risk map itself. Credit and Inspiration: This indicator was inspired by concepts shared by several market educators and traders: • Jeff Sun / @jfsrev x.com • @i_manage_risk x.com • StratLab / @StratLaboratory x.com Their publicly shared work on relative strength, momentum leadership, ATR extension frameworks, risk management, and scaling into or out of leaders helped shape the conceptual foundation for this tool. This script is an independent implementation. It is not affiliated with, sponsored by, or endorsed by Jeff Sun, @i_manage_risk, StratLab, or @StratLaboratory, and it is not intended to replicate their complete methodologies. Suggested Use: This indicator is best used as a position-management overlay for stocks that have already been identified as potential leaders through a separate screening process. It can help define areas where the stock may be: • Acting normally within a leadership trend • Becoming extended into profit-taking zones • Pulling back toward constructive support • Losing momentum or entering damage-control territory Important Notes: ATR extension levels are reference zones, not guaranteed targets or support/resistance levels. A stock can remain extended for longer than expected, especially during strong momentum regimes. Conversely, deep pullbacks can signal deterioration rather than opportunity if leadership and trend structure are no longer intact. Use this tool alongside broader market context, earnings risk, volume behavior, trend structure, and personal risk-management rules. This indicator is for educational and informational purposes only and does not constitute financial advice.
Penunjuk Pine Script®
oleh Stereotypical
Regression Trend Reversal Signals & Forecasts [AlgoAlpha]🟠 OVERVIEW Regression Trend Reversal Signals & Forecasts combines multiple regression methods into a single trend and reversal framework. It allows traders to choose between Linear Regression, Theil-Sen Regression, LOESS smoothing, Nadaraya-Watson smoothing, Polynomial Regression, and a Kalman Filter to estimate the underlying price path. The selected regression line acts as the center of a dynamic channel. The channel width is based on the standard deviation of the distance between price and the regression line, allowing it to adapt to changing market conditions. The script also identifies potential reversal conditions when price extends beyond the channel and then shows signs of rejection. In addition, it can project the current regression slope forward to provide a simple forecast of the current trend path. 🟠 CONCEPTS Regression Line — A statistical estimate of the underlying price trend. Different methods can be selected, ranging from straight-line regressions to adaptive smoothing techniques. Theil-Sen Regression — A robust regression method that uses median slopes from all point pairs, reducing the influence of outlier price spikes. LOESS Regression — A locally weighted regression that fits nearby observations more heavily than distant observations to create a smooth trend curve. Nadaraya-Watson Smoothing — A kernel-weighted averaging method that estimates trend by assigning larger weights to recent observations. Kalman Filter — A recursive estimation method that continuously updates the trend estimate as new prices arrive. Polynomial Regression — A curved regression model that can capture non-linear trend structures using higher-order polynomial functions. Regression Deviation Bands — Channel boundaries calculated from the standard deviation of price relative to the regression line. Regression Slope — The rate of change of the regression estimate used to determine trend direction and forecast projections. 🟠 FEATURES Regression Channel — Dynamic bands expand and contract based on how far price deviates from the regression line. Trend Flip Signals — Generates directional markers when the regression trend changes from rising to falling or from falling to rising. Reversal Signals — Marks potential bullish and bearish reversals when price extends beyond the channel and begins rejecting those extremes. Forecast Projection — Extends the current regression slope into future bars and optionally displays projected channel boundaries. 🟠 HOW TO USE Select a regression method that matches the market behavior you want to analyze. Linear and Theil-Sen are suited to directional trends, while LOESS, Nadaraya-Watson, and Kalman provide smoother adaptive estimates. Use the regression line as the primary trend reference. Rising regression values indicate strengthening conditions, while falling values indicate weakening conditions. Monitor the channel boundaries for extended price movement away from the regression estimate. Watch for bullish reversal markers below the lower band after downside extensions and bearish reversal markers above the upper band after upside extensions. Use trend flip signals as confirmation that the regression slope has changed direction. Compare price location within the channel to gauge whether price is trading near trend equilibrium or at an extreme deviation. Use the forecast projection as a continuation estimate of the current regression slope rather than a prediction of future market behavior. 🟠 CONCLUSION Regression Reversal Signals combines multiple regression techniques, adaptive deviation channels, reversal detection, and forward projections into a single framework. By allowing traders to switch between several trend estimation methods, it provides different perspectives on trend structure and price deviation. The indicator helps identify trend direction, potential reversals, and areas where price has moved unusually far from its estimated path.
Penunjuk Pine Script®
oleh AlgoAlpha
11
Adaptive Momentum Strength Score (AMSS)There is a specific kind of frustration that every serious trader knows. The setup looks right. The candle closes with conviction. The oscillator confirms. You enter and the move immediately stalls, reverses, or dissolves into noise. Later you realize the volume was weak, volatility never truly expanded, or directional pressure had already started fading before the entry. That frustration is not a discipline problem. It is an information problem. Most momentum indicators measure one piece of the puzzle. RSI measures price velocity. Volume indicators measure participation. Bollinger Bands measure volatility state. Each tells part of the story. The Adaptive Momentum Strength Score was built on the conviction that momentum quality can only be evaluated meaningfully when several complementary market forces are read together, not after the fact, but simultaneously, on every bar. The Core Framework The purpose of the composite score is straightforward: to answer not just whether price is moving, but whether the move is supported by the conditions that tend to give momentum its staying power. The score is normalized between 0 and 100 and built from three independent components. The first measures candle impulse relative to ATR not raw candle size, but how decisive the current bar is in the context of what normal looks like for this asset right now. The second measures volume participation by comparing current volume against its moving average, distinguishing genuine momentum expansion from the kind of low-participation drift that precedes failed breakouts far more often than it precedes continuation. The third measures volatility expansion through Bollinger Band width relative to its own average, detecting the transition from compression into expansion as a market begins releasing stored energy. Each component is independently normalized before combining. By default, volume participation carries the greatest weight of the three — a deliberate choice reflecting the observation that genuine participation tends to be the most reliable differentiator between momentum that follows through and momentum that fades. Candle impulse and volatility expansion carry equal secondary weight, acknowledging that decisive price movement and volatility expansion both contribute meaningfully to momentum quality without either being treated as a primary condition on its own. All weights remain fully adjustable for traders who prefer a different emphasis across different assets or timeframes. What separates this framework from most traditional oscillators is that momentum strength, directional pressure, market regime, momentum acceleration, and signal confirmation are kept as independent layers that work together while remaining individually interpretable. The goal is not to compress everything into a single binary output but to provide a structured view of how momentum is developing and whether broader conditions are genuinely supportive. Adaptive Thresholds A composite score is only as useful as the threshold that determines when it becomes meaningful. The indicator supports two threshold modes. Fixed mode works cleanly in stable trending environments where volatility expression is consistent. Adaptive mode the recommended default calculates the threshold dynamically using rolling score averages and standard deviation scaling, then clamps it within a defined range. As market character shifts, the threshold recalibrates automatically rather than forcing traders to manually adjust a static level every time volatility conditions change. The practical consequence is worth understanding directly. In a static-threshold oscillator, a compression phase floods the chart with false crossovers while a genuine expansion phase can produce delayed or missed signals. The adaptive threshold adjusts to both conditions without intervention. The active level is always displayed as the orange reference line, there is never ambiguity about where the signal boundary sits. The score is additionally classified into Weak, Moderate, and Strong states relative to the active threshold, allowing momentum quality to be evaluated quickly without relying on raw numerical values alone. Directional Pressure The score measures momentum magnitude. Direction is handled through a completely separate layer. Directional bias is established through a two-part confirmation test on every bar. Price must sit on the correct side of a short-period directional EMA, and the average ATR-normalized candle direction over the recent lookback must clear a pressure threshold, meaning a single extended wick or isolated candle cannot flip the directional label on its own. The result is a three-state classification that updates in real time: Bullish, Bearish, or Neutral. This label colors the score line and feeds directly into the signal confirmation logic. Regime Classification Not all momentum signals carry equal weight. A score crossover during an expanding market is a categorically different event from the same crossover inside a compressed, coiling environment and treating them identically is one of the more common ways momentum-based approaches produce inconsistent results. The indicator measures the range of the score over a lookback window and classifies conditions into three states. Compressed means the score has been operating within a narrow band, the market is coiling, energy may be building, and momentum signals in this state generally exhibit lower follow-through and greater variability, although strong expansions can emerge from prolonged compression. Balanced reflects normal trending or ranging conditions. Expanding means the score range has broken above the expansion threshold the market is releasing energy, and momentum signals carry stronger continuation characteristics during this state. Regime classification can be applied as a filter to triangle signals or used purely as context within the dashboard. Momentum Velocity Knowing where the score is tells you the current momentum level. Knowing how fast it is changing tells you something more useful, where momentum is likely heading before price makes it obvious. The velocity engine calculates the rate of change of the score relative to its own standard deviation, producing a normalized reading that classifies momentum as Accelerating, Decelerating, or Flat. When the score is rising rapidly against its recent volatility baseline, conditions are classified as Accelerating. When the score is fading even if it remains above the threshold the label shifts to Decelerating, and the score line renders at reduced opacity as a visual signal that underlying momentum may be exhausting before price visibly reacts. For traders who have held into momentum reversals that showed no obvious price-level warning, this layer provides an early internal warning signal within the indicator's architecture that conditions are beginning to shift. Two Signal Tiers The indicator produces signals on two distinct levels, and the distinction between them is worth understanding precisely. Threshold dots appear whenever the score crosses the active threshold while directional pressure is already aligned. They are intentionally sensitive as early directional momentum awareness signals indicating that conditions are beginning to strengthen, even though the broader filter stack may not yet be confirmed. Experienced traders use them to shift attention and begin evaluating whether a fuller setup is developing. Triangle signals are the fully confirmed output. A triangle only appears when the score crosses the threshold, directional pressure agrees, and every enabled filter in the active gate stack also confirms simultaneously. This is not a smoothed version of the dot signal. It is a categorically different signal type representing the convergence of multiple independent conditions at the same moment. The separation is deliberate. Dots keep traders informed of developing momentum. Triangles reserve the strongest visual output for the moments that genuinely earn it. The Signal Gate Stack Before any triangle reaches the chart it passes through up to four independent gates, stackable in any combination. The current-timeframe EMA filter blocks signals running counter to local trend structure. The higher-timeframe EMA filter adds a structural second opinion from a broader timeframe, 4-hour by default with an option to use only confirmed closed bars to avoid incomplete higher-timeframe calculations. The regime filter restricts signals during compressed conditions or limits them to expanding phases only. The cooldown gate enforces a minimum bar gap between consecutive signals, suppressing the cluster of repeat triggers that commonly fire around a single momentum event and dilute signal quality. The dashboard always displays exactly which gates are active. Traders never need to guess why a triangle did or did not appear, the filter logic is visible at all times. Reading the Indicator: A Practical Workflow 1. Assess market regime first . Check the Info Table before anything else. Compressed conditions mean the score has been coiling in a tight range crossovers here often require greater selectivity, as follow-through tends to be less reliable until expansion begins, and participation should be approached more selectively. Expanding conditions deserve closer attention, as momentum signals generally carry stronger continuation characteristics during these phases. 2. Verify directional alignment. Confirm that the score line color and the Direction label in the dashboard match your intended trade direction. A technically valid score crossover against prevailing directional pressure is a lower-quality setup by design. 3. Watch for the threshold dot on the score pane . A small circle plots on the score line the moment momentum crosses the active threshold while directional pressure is already aligned. This is your early awareness signal. It means conditions are beginning to strengthen, but the broader confirmation stack may not yet be complete. Use it to shift attention to the price chart, not necessarily to trigger execution. 4. Wait for the triangle on the price chart . The triangle is the confirmed execution signal. It only appears when the score has crossed the threshold, directional pressure agrees, and every enabled gate in your active filter stack has confirmed simultaneously. Depending on your settings, this may include EMA alignment, regime validation, and cooldown logic. No triangle means at least one required condition has not been met, regardless of how the score looks in the pane below. 5. Check momentum velocity before entry. An Accelerating label at the point of the triangle adds meaningful weight to the setup. A Decelerating label on an otherwise valid triangle is a caution not necessarily a reason to avoid the trade, but a reminder that momentum quality may be less aggressive, follow-through may develop more gradually, or reversal risk may be beginning to increase. 6. Manage the trade with velocity as context, not as a standalone exit signal . If the score remains above or near the threshold but the line has dimmed signaling Decelerating momentum the move may be losing force even while price continues in the same direction. This does not automatically invalidate the trade or imply immediate exit. Instead, use velocity as an additional layer of context alongside price structure, trend conditions, and your existing risk-management framework. What This Indicator Is Designed For The Adaptive Momentum Strength Score is not a standalone trading system and does not attempt to be one. It is a momentum context engine — a structured framework for evaluating whether the conditions behind a price move reflect genuine strength and participation or whether they represent the kind of isolated, low-quality momentum that tends to produce less reliable continuation. Every design decision in this script traces back to a single conviction: durable edge in trading does not come from reacting faster to a single signal. It comes from reading multiple independent market forces simultaneously and acting only when they converge. That is what this indicator was built to do and that is the only thing it claims to do well. My Scripts/Indicators/Systems are for educational purposes only!
Penunjuk Pine Script®
oleh ScriptoPro
Adaptive Trend Ribbon [Alpha Extract]A sophisticated adaptive trend-following framework that combines volatility-responsive moving averages, ribbon stack analysis, ATR-based trend rails, ADX confirmation, pullback continuation signals, and a real-time confidence dashboard into one complete market regime tool. The indicator is designed to identify bullish and bearish trend environments, filter weak conditions, highlight confirmed trend flips, and provide structured stop guidance through an adaptive ATR rail. By adjusting ribbon sensitivity based on current volatility, the system aims to stay responsive during expansion phases while remaining smoother during quieter market conditions. 🔶 Adaptive Volatility-Based Ribbon Engine Implements a multi-layer adaptive EMA ribbon that automatically modifies its effective moving-average lengths based on current volatility conditions. When volatility expands, the ribbon becomes more responsive by shortening its dynamic length. When volatility contracts, the ribbon lengthens to reduce noise and avoid unnecessary whipsaw. volRatioRaw = atrAverage > 0 ? atr / atrAverage : 1.0 volRatio = clamp(volRatioRaw, 0.35, 2.75) emaFast = adaptiveEma(src, baseFast, volRatio, adaptStrength) This creates a trend ribbon that adapts to the market environment instead of relying on fixed moving-average behaviour across all conditions. 🔶 Six-Layer Trend Structure Uses six adaptive moving averages ranging from fast to anchor length to define market structure across multiple trend speeds. The ribbon includes fast, mid, slow, and anchor components, allowing traders to see whether short-term momentum is aligned with broader trend direction. A clean bullish trend forms when the ribbon is stacked from fastest above slowest, while a clean bearish trend forms when the ribbon is stacked from fastest below slowest. Mixed ribbon conditions indicate compression, transition, or weaker directional conviction. 🔶 Bullish & Bearish Stack Detection Identifies strong directional alignment through full ribbon stack confirmation. Bullish stack conditions require every faster ribbon layer to sit above the slower layer beneath it, while bearish stack conditions require the opposite alignment. This gives traders a simple way to distinguish clean trend environments from sideways or indecisive price action. 🔶 ATR Trend Rail System Features a built-in ATR-based trend stop that acts as the main regime rail. The rail flips direction when price breaks through the active stop level, creating a clear bullish or bearish trend state. longCandidateStop = railBasis - atr * atrMult shortCandidateStop = railBasis + atr * atrMult railDirection := close < trendStop ? -1 : 1 The stop can be based on the ribbon midline, close, or HL2, giving traders flexibility in how the trend rail is anchored. 🔶 Regime Flip Signal Logic Generates long and short signals when the trend rail flips direction and the confirmation conditions are satisfied. A bullish signal occurs when the regime flips into bullish structure, while a bearish signal occurs when the regime flips into bearish structure. Signals are filtered through ADX and directional movement confirmation when enabled, helping reduce low-quality flips during weak or choppy market conditions. 🔶 ADX & Directional Movement Confirmation Integrates ADX confirmation to measure whether the market has enough directional strength to justify a trend signal. The system also checks directional movement by comparing +DI and -DI, allowing bullish regimes to favour positive directional pressure and bearish regimes to favour negative directional pressure. This confirmation layer helps separate true trend expansion from random price movement. 🔶 Pullback Continuation Alerts Includes optional pullback continuation logic designed to identify trend resumption after price interacts with the adaptive ribbon. When price pulls into the ribbon area and then closes back in the trend direction, the system can trigger continuation alerts. This is useful for traders who prefer entering after a trend has already been established rather than only trading the initial regime flip. 🔶 Confidence Scoring Framework Calculates a real-time trend confidence score by combining multiple components of trend quality, including ribbon stack alignment, price position relative to the ATR rail, ADX strength, directional movement, and spread between fast and anchor ribbon layers. The score provides a quick snapshot of how strong and confirmed the current trend environment is. 🔶 Dynamic Trend Coloring System Uses adaptive color logic to visually represent bullish, bearish, and neutral/mixed conditions. Candles, ribbon lines, fills, the ATR stop rail, and the status panel all update according to the current regime. When ADX confirmation is enabled but the filter has not passed, the system fades the trend color to show that the regime exists but confirmation is weaker. 🔶 Real-Time Status Panel Features a compact dashboard that displays the most important trend information directly on the chart. The panel includes: • Current regime • Confidence percentage • Confirmation status • ADX value • Volatility ratio • Ribbon stack condition • Active stop level This allows traders to quickly assess whether the market is bullish, bearish, filtered, mixed, or entering a stronger trend phase. 🔶 Flexible Risk Rail Basis Allows the ATR stop rail to be calculated from different price references depending on the trader’s preferred style. Ribbon Mid creates a smoother institutional-style trend rail, Close makes the rail more reactive, and HL2 provides a balanced price reference. This flexibility makes the indicator suitable for both faster trend-following styles and slower swing-trend systems. 🔶 Clean Overlay Visual Design Displays the full adaptive ribbon directly on price with optional candle coloring, background regime shading, trend stop plotting, and signal markers. The ribbon uses layered transparency to maintain chart readability while still showing the strength and direction of the trend structure. The result is a clean visual layout that can be used as a primary trend framework or as a confirmation layer alongside other systems. 🔶 Comprehensive Alert System Includes alerts for the most important trend events: • Adaptive Ribbon Long • Adaptive Ribbon Short • Bullish Pullback Continuation • Bearish Pullback Continuation • Long Trend Exit • Short Trend Exit These alerts allow traders to monitor trend flips, pullback continuations, and invalidation events without needing to constantly watch the chart. 🔶 Why Choose Adaptive Trend Ribbon ? This indicator provides a complete adaptive trend-following environment by combining responsive moving-average structure, volatility-adjusted behaviour, ATR-based trend rails, ADX confirmation, continuation logic, and live confidence scoring. Instead of relying on a single moving average or fixed trend signal, it evaluates multiple layers of trend quality before confirming direction. The adaptive ribbon helps traders understand whether the market is strongly aligned, weakening, transitioning, or mixed. The ATR rail provides a clear trend invalidation reference, while the confidence panel gives immediate context on whether the trend has enough structure and strength behind it. Perfect for trend-following traders, swing traders, momentum traders, and systematic traders who want a cleaner way to identify confirmed bullish and bearish regimes with built-in risk guidance.
Penunjuk Pine Script®
oleh AlphaExtract
Regime-Adaptive Trend Engine [AlgoPoint]Regime-Adaptive Trend Engine adapts the SuperTrend ATR multiplier dynamically based on real-time market regime detection. Instead of a fixed multiplier (e.g., 3x ATR), this indicator uses a 4-component weighted regime score — ADX strength, volatility ratio, price efficiency, and trend consistency — to tighten the band in trending markets (earlier entries) and widen it in choppy conditions (fewer false signals). 🔹 HOW IT WORKS 1. REGIME DETECTOR • ADX Strength (30%) — normalized 0–1 from ADX 15–35 range • Volatility Ratio (30%) — short-term vs long-term ATR expansion • Price Efficiency (25%) — directional movement vs total noise • Trend Consistency (15%) — % of bars aligned with current bias 2. ADAPTIVE MULTIPLIER Regime Score 0–1 → ATR Multiplier linearly interpolated: • Trending (score ≥ 0.7): tight 2.0–2.9x • Transition (score 0.4–0.7): balanced 2.9–4.1x • Choppy (score < 0.4): wide 4.1–5.0x 3. SUPERTREND ENGINE Standard SuperTrend logic with dynamic multiplier. Bands clamp to prevent repainting. 🔹 FEATURES • Real-time regime dashboard (score %, multiplier, state label) • Regime background gradient (intensity = confidence) • LONG/SHORT signal labels at trend changes • Alert conditions for entries and regime shifts • 11 customizable input parameters • No repainting — uses only confirmed bar data 🔹 HOW TO USE • Monitor the dashboard: green = trend, yellow = transition, red = chop • In trending regime: trust tighter signals for early entries • In choppy regime: bands widen automatically — wait for confirmation • Combine with volume analysis for higher-probability setups • Use alerts for automated trend change notifications The indicator does not predict direction — it measures market state and adapts sensitivity accordingly. Your decision, your trade.
Penunjuk Pine Script®
oleh Iamalala
6
Nadaraya-Watson Regression Liquidity Sweeps [AlgoAlpha]🟠 OVERVIEW This script combines Nadaraya-Watson regression, momentum analysis, and liquidity level tracking into a single workflow. It measures the slope of a smoothed price regression curve, converts that slope into a normalized oscillator, and uses momentum shifts to identify areas where liquidity may be resting. The oscillator is built from the rate of change of the Nadaraya-Watson estimate rather than price itself. This allows momentum transitions to be measured relative to the underlying regression trend. When momentum weakens after an extended move, the script records swing-based liquidity levels that can later be swept by price. A volatility-adjusted Nadaraya-Watson band is also displayed on the chart. This provides context for trend direction, momentum strength, and potential rebound conditions around the regression value. 🟠 CONCEPTS Nadaraya-Watson Regression — A kernel-based smoothing method that estimates an underlying price curve by weighting nearby historical data more heavily than distant data. Normalized Regression Slope — The change in the Nadaraya-Watson estimate divided by its recent standard deviation, allowing momentum strength to be compared across different market conditions. Liquidity Sweep Level — A horizontal level created from a swing high or swing low when momentum begins to weaken, representing an area that may later attract price. Oscillator Signal Line — An EMA of the normalized oscillator used to identify momentum crossovers and momentum phase changes. Rebound Condition — A signal generated when price moves back through the Nadaraya-Watson value while oscillator direction remains aligned with the prevailing momentum bias. 🟠 FEATURES Normalized Nadaraya-Watson Oscillator — Measures momentum using the slope of a smoothed regression curve. Liquidity Sweep Detection — Creates liquidity levels when bullish or bearish momentum begins to weaken. Volatility-Adjusted Regression Band — Displays a dynamic overlay around the Nadaraya-Watson estimate using smoothed ATR values. Momentum Weakening Signals — Marks locations where oscillator momentum begins to lose strength against the current directional bias. Rebound Signals — Highlights situations where price reclaims or loses the regression value while momentum remains aligned with trend direction. 🟠 HOW TO USE Monitor the oscillator relative to its signal line to identify momentum shifts and changes in directional bias. Watch for newly created liquidity levels after momentum weakening events, as these levels may become future sweep targets. Use sweeps of upper or lower liquidity levels to identify areas where price has taken resting liquidity. Look for bullish rebound signals when price reclaims the regression value while bullish momentum remains active. Look for bearish rebound signals when price loses the regression value while bearish momentum remains active. Combine oscillator direction, liquidity levels, and regression band structure to build context around trend continuation or reversal scenarios. 🟠 CONCLUSION The Nadaraya-Watson Regression Liquidity Sweeps indicator combines regression-based momentum analysis, volatility-adjusted trend structure, and liquidity level tracking. By linking momentum transitions to swing-derived liquidity zones, it helps identify where liquidity may be forming and when it has been swept. This provides traders with additional context for trend analysis, pullbacks, and potential reversal areas.
Penunjuk Pine Script®
oleh AlgoAlpha
20
Supertrend NexusSupertrend Nexus A next-generation trend engine built around the core principles of Supertrend, enhanced with adaptive volatility, trend quality analysis, efficiency measurement, and multi-timeframe confirmation. Traditional Supertrend indicators are designed to answer one primary question: "Has trend direction changed?" Supertrend Nexus expands on that concept by transforming a simple trend-following system into a complete market interpretation framework designed to answer: • Is the trend strengthening or weakening? • Is movement efficient or choppy? • Is higher timeframe direction supporting the move? • Is current price action extended? • Is continuation or exhaustion more likely? • Is the setup high quality or lower probability? Features Adaptive Supertrend Engine Builds upon traditional ATR-based Supertrend calculations Optional adaptive multiplier system Automatically adjusts sensitivity based on market efficiency Helps reduce noise while responding more dynamically to changing market conditions Efficiency Ratio Analysis Measures directional movement relative to market noise Identifies whether price action is efficient or choppy Helps filter lower-quality conditions Higher Timeframe Alignment Optional HTF trend confirmation Compares local trend conditions against broader market direction Helps align setups with larger directional pressure EMA Trend Confirmation Additional trend validation layer Helps identify whether price is trading with or against prevailing direction Trend Quality Scoring Combines multiple components into an overall signal-strength framework: • Trend alignment • Higher timeframe agreement • Efficiency ratio • Distance from Supertrend • Adaptive trend behavior Decision Dashboard Supertrend Nexus converts raw market data into a simplified decision engine. Includes: • Market State analysis • Signal Strength meter • Trade Quality grading • Trend direction classification • Higher timeframe alignment • Efficiency state • Risk and behavior analysis • Next-action guidance Market State Examples Bullish Trend Confirmed Trend direction and confirmations aligned Bearish Trend Confirmed Downside trend pressure supported by confirmation filters Bullish / HTF Conflict Local direction differs from broader market trend Mixed Trend State Conditions are conflicting or lower quality Risk / Behavior Examples Examples may include: • Continuation favored • Pullback risk increasing • Choppy conditions present • Whipsaw risk elevated • Extended trend behavior Suggested Uses Can be combined with: • Market structure • Supply and demand zones • Liquidity sweeps • Volume Profile / POC analysis • Higher timeframe bias • Risk management systems About TrendGenY Indicators TrendGenY indicators are built from market experience, creative concepts, and a constant pursuit of unique perspectives. Rather than following conventional ideas, the focus is on uncovering alternative insights and viewing market behavior through different angles to reveal information that traditional tools may overlook and help traders build a more meaningful edge in the market.
Penunjuk Pine Script®
oleh TrendGenY
Trend Volatility RegimeThe Trend Volatility Regime is an all-in-one trend-following model that identifies changes in the market regime by combining moving-average crossover signals with volatility-adaptive trailing stops. It features an integrated backtesting engine that provides institutional-grade insights into historical strategy performance, along with a built-in alert system that notifies investors in real time when regime changes occur. The model integrates seamlessly into the price chart and presents backtest results in a clear, color-coded table benchmarked against buy-and-hold. At its core, the model combines two complementary trend detection components to determine the prevailing market regime. The first component identifies the underlying structural trend using a volatility-adjusted moving-average crossover based on the spread between fast and slow moving averages. The second component identifies trend reversals using an adaptive trailing stop based on changes in price and volatility. Bullish and bearish regimes occur when both crossover and volatility signals are directionally aligned, while conflicting signals result in neutral regimes. Bullish Crossover Signal = (Fast MA – Slow MA) > (ATR × Trend Margin) Bearish Crossover Signal = (Fast MA – Slow MA) < –(ATR × Trend Margin) Bullish Volatility Signal = Price > (Highest Price – (Volatility × Stop Factor)) Bearish Volatility Signal = Price < (Lowest Price + (Volatility × Stop Factor)) By default, the model applies an asymmetric regime design in which conflicting signals default to a bullish regime unless half-equity positions are enabled in the menu. This asymmetric design reflects the tendency of risk assets to deteriorate gradually while recovering more abruptly. The moving-average component captures the slower deterioration typically observed during market tops, while the trailing stop component responds more dynamically to faster reversals typically observed at market bottoms. This helps reduce overreaction to corrections during uptrends while still allowing for faster re-entry following sharp recoveries. To evaluate the performance of different parameter configurations, the model includes a built-in table with the following metrics: CAGR = Compounded Annual Growth Rate. Excess = CAGR in excess of buy-and-hold. Sharpe = CAGR per unit of standard deviation. Sortino = CAGR per unit of downside deviation. Calmar = CAGR relative to maximum drawdown. Max DD = Largest peak-to-trough decline in value. Alpha (α) = Excess annualized risk-adjusted returns. Win Rate = Ratio of profitable trades to total trades. Profit Factor = Total gross profit per unit of losses. Expectancy = Average expected return per trade. Turnover = Average annualized change in exposure. This indicator is designed with flexibility in mind, enabling users to specify the start date of the backtesting period, the preferred trend type, volatility type, and regime visualization. Supported regime visualizations include line, candle, and shaded background. Supported moving-average types include the Exponential Moving Average (EMA), Simple Moving Average (SMA), Wilder’s Moving Average (RMA), and Weighted Moving Average (WMA). Supported volatility types include the Average True Range (ATR), Standard Deviation (SD), and Mean Absolute Deviation (MAD). Supported price sources include Close, HL2, HLC3, and OHLC4. The table follows an intuitive color-coded logic that allows for quick performance comparison against buy-and-hold (B&H): CAGR = Green indicates above 0%, while red indicates below 0%. Excess = Green indicates above 0%, while red indicates below 0%. Sharpe = Green indicates better than B&H, while red indicates worse. Sortino = Green indicates better than B&H, while red indicates worse. Calmar = Green indicates better than B&H, while red indicates worse. Max DD = Green indicates better than B&H, while red indicates worse. Alpha (α) = Green indicates above 0%, while red indicates below 0%. Win Rate = Green indicates above 50%, while red indicates below 50%. Profit Factor = Green indicates above 2, while red indicates below 1. Expectancy = Green indicates above 0%, while red indicates below 0%. In summary, the Trend Volatility Regime is a comprehensive trend-following tool designed to help investors stay on the right side of the market by identifying key changes in the market regime. By combining volatility-adjusted moving-average crossover signals with adaptive volatility-based trailing stops, the model seeks to maximise participation during uptrends while reducing exposure during sustained downtrends. While the model provides valuable historical insights, users should remain mindful that past results may not necessarily persist under future market conditions.
Penunjuk Pine Script®
oleh QuantitativeAlpha
3
Darvas Box Theory [Alpha Extract]A sophisticated momentum breakout and trend-continuation framework based on Nicolas Darvas’ classic box theory, rebuilt with modern confirmation filters, adaptive risk management, and real-time trade-state tracking. This indicator identifies consolidation ranges, validates breakout conditions through volume and trend confirmation, manages long-side breakout entries, trails stops through higher boxes, and displays a live status dashboard for complete market structure awareness. By combining box compression, volatility filtering, breakout validation, and structured stop logic, the system provides a clean and disciplined framework for trading momentum expansion after consolidation. 🔶 Advanced Darvas Box Detection Engine Implements a dynamic Darvas box construction model that identifies price consolidation ranges using configurable confirmation bars. The system continuously scans recent market structure, defines the highest high as the box ceiling, the lowest low as the box floor, and validates the range only when the box meets minimum volatility-adjusted height requirements. candidateTop = ta.highest(high, boxLen) candidateBottom = ta.lowest(low, boxLen) heightOk = (candidateTop - candidateBottom) >= atr * minBoxAtr This ensures boxes are not created from meaningless low-range noise and instead represent tradable compression zones with enough structure to support breakout analysis. 🔶 ATR-Filtered Box Quality Control Features an adaptive box validation system using Average True Range to measure whether a box has enough height relative to current market volatility. Traders can adjust the Minimum Box Height setting to control how selective the indicator becomes. A lower ATR threshold creates more boxes and more frequent signals, while a higher threshold filters out weak consolidations and focuses only on larger, cleaner market structures. 🔶 Optional Rising Box Requirement Includes an optional rising-box filter designed for classic Darvas-style momentum trading. When enabled, the system only accepts new boxes if their ceiling is higher than the previous box top, helping traders focus on progressive bullish structure and avoid lower-quality sideways chop. This is useful for traders who want to trade continuation setups only when the market is forming higher price ranges. 🔶 Breakout Confirmation Framework Provides flexible breakout detection using either candle close confirmation or wick-based confirmation. Close mode requires price to close beyond the box boundary for stronger confirmation, while Wick mode reacts as soon as price trades beyond the box level for faster but more aggressive signals. upBreakRaw = boxReady and (breakoutMode == "Close" ? close > boxTop : high > boxTop) longSignal = breakoutUp and volumeOk and trendOk This allows traders to choose between conservative confirmation and faster momentum detection depending on their strategy style. 🔶 Volume Breakout Validation Integrates volume confirmation to help filter weak breakouts and highlight expansion moves supported by stronger market participation. The system compares current volume against a moving average baseline and requires breakout volume to exceed a configurable multiplier. This helps identify breakouts with real participation rather than low-volume fakeouts. 🔶 Trend Filter Integration Uses a configurable EMA trend filter to align breakout signals with the broader market direction. When enabled, long breakout signals are only accepted when price is trading above the selected trend EMA. This keeps the system focused on momentum continuation setups rather than counter-trend breakouts with weaker follow-through potential. 🔶 Automated Darvas Trade State Engine Transforms box breakouts into a structured trade-management framework. When price breaks above a completed box with valid trend and volume confirmation, the system enters a long trade state, stores the entry price, initializes the stop level, and begins live trade tracking. The indicator then monitors whether price continues into higher boxes, generates add signals, or exits when the stop or downside breakdown condition is triggered. 🔶 Add Signal & Higher Box Continuation Logic Features higher-box continuation logic that identifies additional momentum opportunities while already in a long position. If a new confirmed breakout occurs above the original entry price while the trade is active, the system generates an Add signal and updates the trade structure. This helps traders scale into trending moves as the market builds new Darvas boxes above the previous structure. 🔶 Adaptive Stop Management System Provides three different stop modes for flexible risk management: • Box Floor — places the stop at the bottom of the Darvas box. • Breached Ceiling — uses the breakout ceiling as the protective reference. • ATR — applies a volatility-adjusted trailing stop based on ATR. baseStop = stopMode == "Breached Ceiling" ? boxTop : stopMode == "ATR" ? src - atr * atrStopMult : boxBottom exitSignal := tradeState == 1 and (src < trailStop or breakoutDown) This allows traders to choose between structural, breakout-level, or volatility-based protection depending on their trading approach. 🔶 Trail Stop To Higher Boxes Includes automatic stop advancement as price confirms higher boxes. When enabled, the stop trails upward with stronger box structures, helping lock in gains while allowing the trend to continue. This creates a disciplined trend-following system that protects profits without exiting too early during strong momentum phases. 🔶 Breakdown & Exit Logic Implements clean exit handling when price falls below the active trailing stop or breaks down through the box floor. This gives the system a defined invalidation structure and prevents trades from remaining active after momentum has failed. Exit markers are displayed directly on the chart for fast visual confirmation. 🔶 Real-Time Status Dashboard Features a compact live dashboard displaying the most important Darvas trade and box information in real time. The table shows: • Current trade state • Box top • Box floor • Volume ratio • Trend filter status • Distance to breakout • Box height relative to ATR • Open R multiple This gives traders an immediate overview of whether the market is forming a box, preparing for breakout, actively in a trade, or filtered by trend/volume conditions. 🔶 Clean Visual Box Architecture Creates a clear visual representation of forming and completed Darvas boxes using configurable colors, transparency, top and bottom level lines, breakout markers, exit markers, and optional grey candle overlay. Forming boxes are displayed separately from completed bullish or bearish boxes, making it easy to distinguish live consolidation from confirmed breakout structure. The system also manages historical box limits automatically to keep charts clean and prevent visual overload. 🔶 Performance Optimization & Historical Box Management Uses efficient array-based storage and automatic cleanup logic to manage historical boxes, lines, and chart objects. Traders can control how many completed boxes remain visible, allowing the indicator to preserve historical context while maintaining smooth TradingView performance. This makes the tool suitable for both short-term and long-term chart analysis. 🔶 Comprehensive Alert System Includes alert conditions for the most important Darvas events: • Darvas Box Buy • Darvas Box Add • Darvas Box Exit These alerts allow traders to monitor breakout opportunities, continuation setups, and invalidation events without watching the chart constantly. 🔶 Why Choose Darvas Box Theory ? This indicator modernizes the classic Darvas Box strategy by combining traditional breakout structure with advanced confirmation logic, volatility filtering, dynamic stop management, and real-time trade monitoring. Instead of simply drawing static boxes, the system evaluates whether each range has enough volatility, confirms whether breakouts are backed by volume, checks whether price is aligned with the broader trend, and then manages the trade through structured stop logic. The result is a clean momentum trading framework designed to help traders identify compression, wait for confirmed expansion, manage entries with discipline, scale into higher-box continuation, and exit when the structure fails. Perfect for trend-following traders, breakout traders, swing traders, and systematic momentum traders looking for a more complete version of the classic Darvas Box methodology.
Penunjuk Pine Script®
oleh AlphaExtract
Adaptive Volatility Stop MTF# Adaptive Volatility Stop MTF (AVS MTF) — v1.2 **Open-source • Pine Script® v6 • Mozilla Public License 2.0** --- ## What this indicator does AVS MTF is a multi-timeframe volatility-stop indicator. It runs four independent volatility-stop engines — one on the chart timeframe and one each on synthetically derived 3×, 5×, and 15× higher timeframes — and combines their directional states into a weighted bias score from −10 to +10. Every stop adapts its ATR period and ATR multiplier in real time using the **Kaufman Efficiency Ratio (ER)**, so stops tighten in trending markets and widen in choppy ones. Three additional integrated subsystems sit on top of the base engine: - A **Hawkes self-exciting point process** that detects volatility clustering and proportionally raises the firing threshold during vol cascades - A **data-integrity layer** that auto-detects asset class and flags degraded data (HEALTH = OK / Degraded / Critical) - An **optional calibration tracker** that reports the engine's measured past hit rate per signal tier with Wilson 95% confidence intervals The indicator does not predict future prices. It is a structured visualization tool for reading multi-timeframe trend agreement and volatility regime. --- ## Why this is a "mashup" — and why each component is necessary This script combines four documented techniques: 1. **Volatility Stop** (Chande) 2. **Kaufman Efficiency Ratio** 3. **Multi-Timeframe Aggregation** 4. **Hawkes Self-Exciting Process** Each component addresses a specific failure mode of the previous one. The integration is what makes the indicator useful: **1. Volatility Stop (base layer)** — A trailing stop that ratchets in the trend direction by `ATR × multiplier`. By itself this is a classic indicator. Its weakness is well known: in choppy markets it flips constantly because ATR alone cannot tell whether price movement is directional or noise. **2. Kaufman Efficiency Ratio (adaptation layer)** — ER = (net move) / (total path traveled), bounded in . High ER = trending; low ER = ranging. We use ER to adapt the volatility stop's ATR period (shorter in trends) AND ATR multiplier (tighter in trends). This addresses the choppy-flip problem of the bare volatility stop. **3. Multi-Timeframe Aggregation (context layer)** — Adapting a single-TF stop is not enough. A "buy" signal on the chart TF means little if the dominant 15× TF is firmly bearish. We run the same adaptive engine on 4 timeframe tiers (Chart, 3×, 5×, 15×) and compute a weighted bias score where higher TFs carry more weight (1, 2, 3, 4). The score gates which signal tiers may fire. **4. Hawkes Volatility-Cluster Detector (suppression layer)** — Even an adaptive, multi-TF stop fires false signals inside volatility cascades (news events, gap-and-go opens). A Hawkes process tracks an "intensity" that rises with each shock and decays each bar. When intensity / its own baseline exceeds a configurable multiple, the engine raises the bias-score floor required to fire new signals. The lift is proportional — at mild excess only marginal signals are held back; at severe excess only Major-tier flips can fire. A "vol+ / vol++ / vol+++" badge in the dashboard shows the current suppression level. The combination is what's original here. None of these four components on its own solves the problems the other three address. AVS MTF chains them in a specific order so each layer compensates for the prior layer's weakness. --- ## How to use it **Setup is minimal.** Add to chart, default settings work on intraday timeframes (5m, 15m, 1H) on liquid instruments (futures, large-cap equities, major crypto pairs). **Read the dashboard top-down:** - **SCORE** (−10 to +10): weighted MTF agreement. ≥ +4 = bullish bias, ≤ −4 = bearish. - **BIAS**: text translation of the score (STRONG BULLISH / BULLISH BIAS / NEUTRAL / etc.). - **REGIME**: TRENDING / DIRECTIONAL / CHOPPY / TRANSITION. - **CONVERG**: how tightly the four stops cluster — HIGH = strong cross-TF agreement. - **HEALTH**: OK / DGR / CRIT. Tooltip shows per-source detail. **Important: if HEALTH shows CRIT, the indicator is unreliable on this instrument.** **Read the HTF Alignment Ribbon (top of chart):** four colored cells — Chart, 3×, 5×, 15× — showing each timeframe's directional state. When all four match color, you have full HTF alignment. **Signal hierarchy (visual priority):** - ▲ / ▼ **Filled label** (Major flip on 15× TF) — highest conviction - ▲ / ▼ **Small triangle** (Trend flip on 5× TF) — strong - ▲ / ▼ **Tiny triangle** (Scalp flip on 3× TF) — short-horizon - ● **Circle** (pullback / band re-touch entry, opt-in display) — momentum continuation - ✚ **Gold cross** (all higher TFs aligned simultaneously, opt-in display) — rare alignment event **The Hawkes badge is your filter cue.** When you see `DGR vol++` in the regime row, the indicator is suppressing weak signals. You will see fewer Scalp/Trend signals during these periods. This is intentional — those are the periods where false flips cluster. **The Calibration Panel (optional, off by default)** reports the engine's measured hit rate on past Trend and Major signals with Wilson 95% confidence intervals. The evaluation rule: a signal is counted as "hit" if price moves at least 0.5 × ATR in the signal direction within N bars (default 10). This is past-only descriptive data — **not a backtest, not a forward prediction, and it does not account for transaction costs, slippage, or execution.** --- ## What's in v1.2 (this version) - **Flip Persistence Filter** — three modes (Off / Strict / Adaptive). Strict requires a 2-bar close hold beyond the new stop; Adaptive requires the flip-bar close to clear the prior stop by ≥ N × ATR (default 0.5×). Reduces wick-flip whiplash at HTF transitions. Default = Off (preserves v1.1 behavior). - **Session-Opening Signal Filter** — suppresses Trend and Major flips during the first N bars of each intraday session (default 3 bars). Overnight gap bars contaminate ATR and produce spurious flips at the open. Affects intraday TFs only; ignored on daily/weekly. Default = Off. - **Conviction-Strength Labels** — optional small label next to Trend and Major signals showing the bias score at firing time. Four modes (Auto / Minimal / Verbose / Off). Auto mode adapts size to chart TF and hides on ≤2-min charts where signals cluster densely. Drawing objects only — no plot-slot cost. - **HTF Alignment Ribbon** — compact 4-cell horizontal strip showing the bull/bear state of every timeframe. Auto-places opposite the dashboard. Drawing object — no plot-slot cost. - **Alert system reorganized** — the alert dialog now exposes the 10 most actionable conditions. All other event notifications fire automatically via `alert()` blocks. Set up an alert with condition **"Any alert() function call"** on this script to receive every event. --- ## Originality / what makes this different from existing public scripts There are many volatility-stop indicators on TradingView, and several multi-timeframe wrappers. AVS MTF differs in three specific ways: 1. **Independent ER adaptation per timeframe.** Most MTF wrappers compute a single ER on the chart TF and apply the same multiplier across timeframes. AVS MTF runs a separate ER calculation on each tier so adaptation is mathematically correct at every timeframe — the 15× TF doesn't get the chart TF's noise-window applied to it. 2. **Proportional Hawkes suppression integrated with the bias-score gate.** The Hawkes lift is added directly to the score-floor used by the signal-firing logic. This is not a binary "block signals during high volatility" filter — the suppression scales smoothly with measured volatility-cluster intensity. 3. **Asset-class-aware data integrity.** Auto-detects Equity / Futures / Index / FX / Crypto and adjusts which validation checks apply (e.g., the volume filter is auto-disabled on volumeless instruments like spot indices, where it would silently mis-fire). --- ## Settings worth knowing - **Adaptive Mode** = "Both" (default): adapts both ATR period AND multiplier from ER. Set to "Off" for fixed-parameter behavior comparable to a classic volatility stop. - **Fast/Slow ATR Bounds**: the range across which ER adaptation moves the ATR period. Wider = more dramatic adaptation. - **Hawkes Max Score Lift**: how aggressive the volatility-cluster suppression is. Default 2.0 = at peak intensity, a signal needing |score| > 2 will need |score| > 4. Set to 0 to disable suppression while keeping the badge descriptive. - **Flip Persistence Filter** (v1.2): Off / Strict / Adaptive. Use Strict on slow trending markets, Adaptive on faster-moving instruments. - **Session-Opening Filter** (v1.2): Off by default. Turn on for markets with strong open-bar volatility (NSE, NYSE, etc.). - **Conviction Labels** (v1.2): Auto by default. Adapts to chart TF automatically. - **Calibration Panel**: OFF by default. Turn on to see past hit rates with Wilson 95% CIs. --- ## Important disclaimer This indicator is provided for **educational and informational purposes only**. It does NOT constitute financial, investment, trading, or any other form of advice. - Past performance of any signal does not guarantee future results. - The calibration panel reports descriptive past-only outcomes using a fixed evaluation rule. It is NOT a backtest, NOT a forward prediction, and does NOT account for transaction costs, slippage, or execution. - All trading involves substantial risk of loss. - Use proper risk management including position sizing and stop-loss orders. - The author is not a licensed financial advisor. Consult a qualified professional before making any financial decisions. --- ## License Released under the Mozilla Public License 2.0 (TradingView default open-source license). --- ## References - Perry Kaufman — *Trading Systems and Methods* (Efficiency Ratio + KAMA framework) - Alan Hawkes (1971) — *Spectra of some self-exciting and mutually exciting point processes* - Edwin B. Wilson (1927) — *Probable inference, the law of succession, and statistical inference* (Wilson score interval) Open-source — feedback, forks, and improvement suggestions welcome via the script comments.
Penunjuk Pine Script®
oleh Market_Logic_India
Multi-Factor Regime Engine Pro [MarkitTick]💡 This indicator represents a robust framework designed to quantify market regimes by analyzing an array of price action, volatility, and momentum metrics. By synthesizing ten distinct market features into a unified confidence score, it dynamically adjusts its threshold bands, providing a highly adaptive approach to trend identification on any standard chart. ✨ Originality and Utility Standard trend-following tools often rely on static lookback periods and fixed multipliers, which can lead to delayed signals during sudden market shifts or excessive false signals during consolidation. This indicator diverges from traditional methods by introducing a dynamic, feature-engineered confidence score. Instead of relying on a single data point like closing price or standard volatility, it aggregates inputs from momentum oscillators, directional movement indices, volume profiles, and standard deviation bands. This multi-dimensional analysis allows the indicator's bands to compress during high-confidence trends and expand during uncertain, low-confidence environments, offering a highly responsive and adaptive utility for modern chart analysis. Furthermore, it incorporates strict internal safeguards to prohibit execution on non-standard charts, ensuring the integrity of the data and preventing repainting vulnerabilities. 🔬 Methodology and Concepts ● The Feature Engineering Engine The core of this indicator is built upon extracting ten distinct normalized features from the market data, evaluating multiple dimensions of price action simultaneously: Momentum Normalization: Utilizes relative strength metrics, centered and scaled, to gauge underlying momentum bias without relying on absolute thresholds. Directional Strength: Analyzes directional movement indices to quantify the strength of the current trajectory, applying directional penalties when negative movement overpowers positive movement. Moving Average Distances: Measures the current price relative to fast and slow moving averages, standardizing the distance using the Average True Range to identify structural overextension. Rate of Change Standardization: Normalizes the rate of change against its own rolling standard deviation to detect statistical anomalies in speed and acceleration. Standard Deviation Extremes: Evaluates the position of the price relative to upper and lower Bollinger Bands, calculating the precise percentile of the close within the volatility envelope. Volatility Stability: Compares short-term volatility against long-term volatility baselines to measure market stress and detect rapid expansions. Volume Anomalies: Assesses current volume against its simple moving average, clamping the result to identify participation spikes that validate price movement. Price Action Consistency: Calculates the ratio of bullish to bearish closes within the defined lookback period, serving as a raw footprint of buyer versus seller control. ● The Confidence Score Assembly These standardized features are separated into distinct sub-components. A Directional Score identifies the probable path of the trend by weighting momentum and moving average slopes. A Quality Score measures the structural integrity of that trend by analyzing volume participation and volatility stability. These are mathematically combined to produce a Raw Confidence value. This raw output undergoes an adaptive smoothing process using a dynamic moving average, resulting in a highly stable, final Confidence Score bounded precisely between 0% and 100%. ● Adaptive Ratcheting Bands The calculated Confidence Score directly influences the width of the trend bands. When the confidence is high, the internal multiplier decreases, tightening the bands closer to the price action to capture shifts quickly and protect accumulated distance. Conversely, when confidence is low, the bands expand to avoid noise and erratic whipsaws. The bands utilize a state-machine logic that only ratchets in the direction of the trend, acting as a trailing threshold that reacts to both price crosses and sudden regime shifts identified by extreme volatility spikes. 🎨 Visual Guide ● Heatmap Candles The indicator actively repaints the chart candles based on a calculated mathematical "stress" metric. Colors transition dynamically from a baseline trend color (Deep Sky Blue for bullish conditions, Radical Red for bearish conditions) to a bright orange "Regime Alert" color when underlying volatility spikes significantly. Candle body opacity is heavily controlled by the alignment of the price action with the overall trend direction, fading to a darker tone during contrary movements or low-confidence pullbacks. ● ML Supertrend Band Displayed as a prominent, solid line representing the adaptive trailing threshold on the chart. This band is colored Deep Sky Blue during bullish market phases and Radical Red during bearish phases, updating in real-time as the state machine ratchets. ● Confidence Gradient Cloud This visual element fills the spatial gap between the median price baseline and the trailing Supertrend band. The exact opacity and gradient of this cloud are mapped directly to the Confidence Score. A highly opaque, solid cloud represents high confidence, while a highly transparent, fading cloud visually indicates low confidence and potential market transition. ● Visual Labels Small directional visual markers appear directly above or below the price action when a trend flip occurs. These labels display an arrow alongside a precise percentage value, representing the exact calculated Confidence Score at the moment the signal was generated. ● Info Table Located statically in the top right corner, this dashboard displays crucial real-time internal metrics. It includes the current trend direction, a visual text-based progress bar for the Confidence Score, the live Adaptive Multiplier value adjusting in real-time, the selected Model configuration, and a dynamic text alert that triggers during active Regime Shifts. 📖 How to Use ● Trend Identification Observe the dominant color of the ML Supertrend Band and the Confidence Gradient Cloud. Deep Sky Blue strongly indicates a bullish environment, while Radical Red suggests a bearish environment. The visibility and thickness of the cloud serve as your primary visual gauge of the trend's structural health. ● Interpreting the Confidence Metric Monitor the Confidence Score inside the Info Table or at signal generation. A high percentage (e.g., above 70%) suggests that multiple underlying market factors (volume, momentum, standard deviation) are in full agreement with the current directional bias. A rapidly dropping confidence score often precedes a period of choppy consolidation or warns of a potential reversal, allowing for tighter risk parameters. ● Reading Heatmap Candles for Shifts When the standard colored candles begin transitioning toward the bright orange Regime Alert color, it indicates an abnormal spike in volatility combined with a directional momentum shift. This visually warns the user of a potential "Regime Shift" where the market is undergoing severe internal stress. These specific visual cues often signal an impending breakout from a range or a violent capitulation event. ⚙️ Inputs and Settings ● Model Configuration Strategic Cycle Mode: Allows the choice between an "Auto" mode and a "Custom" mode. Auto mode dynamically selects the most mathematically optimal lookback lengths, thresholds, and weighting coefficients based purely on the current timeframe in seconds. Strategic Cycle: When in custom mode, this determines the core lookback period for all volatility and momentum calculations. Smaller values drastically increase reactivity, while larger values provide smoother, long-term macroeconomic analysis. Macro Trend Threshold: Sets the baseline mathematical width of the threshold bands. Higher values require significantly larger price movements to trigger a trend flip, reducing noise. Prediction Weight: Controls the internal sensitivity of the bands to rapid changes in the Confidence Score, determining how aggressively the bands compress. ● Visual Settings & Colors Dedicated toggles are provided to enable or disable the Confidence Labels, the Info Table, and the Heatmap Candles to keep the chart interface as clean as desired. All core graphical colors, including the specific bands, gradient clouds, table text, and alert highlights, are fully customizable by the user via hex selection. ● Webhook Settings The indicator is pre-configured to output detailed, formatted JSON payloads designed for external execution automation. Users can securely define specific action strings for entering and closing both long and short positions directly within the settings menu, mapping exactly to their webhook parser logic. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Multi-Variate Feature Standardization The mathematical foundation of this tool relies heavily on statistical normalization techniques designed to process heterogeneous data. Financial time series data is notoriously non-stationary and spans vastly different numerical scales. To effectively combine disparate metrics like Volume (often measured in millions) and relative strength oscillators (strictly bounded between 0 and 100), the indicator employs rigorous Min-Max scaling and localized Z-score approximations. For instance, the rate of change is evaluated against its own rolling standard deviation over a defined period, successfully standardizing the momentum readout into a continuous, comparable spectrum bounded cleanly between -1.0 and 1.0. ● Linear Weighted Ensembles The internal architecture utilizes a deterministic linear weighted model to synthesize the final output. By assigning highly specific fractional coefficients to directional features (like the exponential moving average slope and relative strength) and structural features (like Bollinger Band width extremes and volatility stability), the script constructs a singular composite index. This mirrors standard ensemble methodologies found in data science, where the consensus of multiple independent weak learners generates a stronger, more reliable predictive metric than any single indicator could achieve in isolation. ● Volatility-Adjusted State Machines The adaptive threshold logic operates as a strict finite-state machine incorporating the Average True Range metric. The specific mathematical innovation lies in rendering the ATR multiplier as an inverse linear function of the composite confidence index. In quantitative terms, this produces a dynamically dampened volatility envelope. When the composite index approaches a maximum value indicating high convergence, the dampening factor aggressively compresses the envelope, mathematically acknowledging that high-conviction trends exhibit less erratic mean-reversion behavior and therefore require drastically tighter invalidation levels to preserve structural alpha. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Penunjuk Pine Script®
oleh MarkitTick
Trend Flow StrategyFrom traditional EMA crosses to Weis Wave volume analysis, RSI reversals, MACD crossovers, Bollinger Band reversion/breakout, SuperTrend flips, Ichimoku breakouts, and a confluence scoring mode that votes across indicators, Trend Flow Strategy is a multi-mode directional trading system that supports 20 different entry styles. Important characteristics:ATR-based trailing stop, take profit, and stop loss A filter for volume confirmation The ADX trend strength filter is optional. VWAP crossover or side filter With complete TV backtest compatibility, the Python optimizer's partial exit is available.It can be used with any instrument and in any time frame. Select the entry technique that best suits your market; adjust the ATR multipliers, enable trailing, and let the strategy take care of the rest. WARNING:This is for educational and informational purposes only. Not financial advice.
Strategi Pine Script®
oleh neediness999
AlphaTrend Momentum Matrix [MarkitTick]💡 The AlphaTrend Momentum Matrix is an advanced, comprehensive trend-following architecture designed to dynamically track market momentum, manage dynamic trade states, and seamlessly bridge the gap between technical charting and automated execution. Far from a simple overlay, this script acts as a multi-layered analytical suite. It evaluates primary trend direction using volatility and volume-weighted money flow, filters out market noise with a custom state-matrix, and projects actionable higher-timeframe data onto the active chart. Furthermore, it incorporates an internal mathematical framework capable of dynamically calculating strict risk-to-reward targets and dispatching meticulously formatted JSON payloads for external webhook execution. ✨ Originality and Utility ● The Momentum Matrix Advantage While traditional trend indicators rigidly lock onto moving averages or standard price bands, the AlphaTrend Momentum Matrix thrives on market dynamism. Its true utility lies in its multifaceted approach to trend validation. It introduces an exclusive "ATR Breakout Override" system—a custom logic module that forces a trend recalibration if an explosive price movement severely disrupts the standard deviation envelope, regardless of standard trailing conditions. This ensures the indicator remains highly responsive to sudden, high-impact market events without waiting for lagging conditions to catch up. ● Automated Payload and State Management A standout feature of this tool is its embedded Trade State system. It does not merely paint a signal on the chart; it internalizes the exact entry price, computes a precise stop-loss based on the active AlphaTrend baseline, and mathematically projects a 1:2 risk-to-reward Take Profit target. This localized tracking seamlessly interfaces with the built-in Alert Engine, dynamically injecting these critical metrics into formatted JSON templates ready for third-party automated execution systems. 🔬 Methodology and Concepts ● AlphaTrend Core Engine The primary directional engine relies on the interplay between the Average True Range (ATR) and the Money Flow Index (MFI). A trailing upper band (Support) and lower band (Resistance) are calculated using a user-defined ATR coefficient. The script interrogates the 14-period MFI; if the MFI reads above 50, indicating positive money flow momentum, the algorithm biases toward the Support band, updating it only when the price makes higher lows. Conversely, an MFI below 50 shifts the bias to the Resistance band. ● Breakout Override Protocol To counteract the inherent lag of volume-weighted smoothing, the indicator employs a momentum breakout scanner. By measuring the absolute distance between the previous two closing prices and comparing it against the prior ATR multiplied by a sensitivity factor, the script can definitively detect volatility shocks. If a shock occurs concurrently with a directional price cross over the active AlphaTrend line, the system immediately forces a directional shift, bypassing the standard MFI requirements. ● Signal Filtering and Matrix Constraints Raw signal crossovers are notoriously noisy during consolidation. To mitigate whipsaw trades, this script implements a continuous loop counter (the K and O matrices). It tracks the consecutive bars since the last primary buy or sell condition. A signal is only declared "valid" if it successfully breaks the historical sequence of the opposing trend counter, ensuring that localized micro-fluctuations do not trigger premature trade entries. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Volatility and the Average True Range Developed by J. Welles Wilder Jr. in 1978, the Average True Range is a foundational pillar of this indicator. The ATR scientifically quantifies absolute market volatility by decomposing the entire range of an asset's periodic price action, factoring in gaps and limit moves. By applying a multiplier to the ATR, this script establishes a statistically significant standard deviation envelope, distinguishing between normal market "breathing" and definitive structural shifts. ● Volume-Weighted Momentum via Money Flow Index The MFI, created by Gene Quigley and Colin Dysart, represents an evolution of the Relative Strength Index (RSI). From an academic standpoint, the MFI incorporates volume into its momentum calculation, producing a more robust metric of buying and selling pressure. It uses the Typical Price (High + Low + Close / 3) multiplied by volume to calculate raw money flow. The 50-level threshold serves as the equilibrium point; sustaining above this level empirically signifies net accumulation, providing the mathematical justification for the indicator's bullish bias. ● Algorithmic State Machines The signal filtering mechanism and the internal Trade State tracker are practical applications of Finite State Machines (FSM) commonly used in quantitative algorithmic design. The script holds memory of its current operational state (Long, Short, Neutral) and refuses state transitions unless specifically validated mathematical conditions (boolean logic gates) are met, significantly reducing error rates inherent in purely reactive, memory-less indicators. ● Repainting and Lookahead Warning This script utilizes the request component to pull Higher Timeframe (HTF) context into the primary chart. Crucially, it employs the barmerge.lookahead_on parameter. While this creates a visually perfect, non-lagging representation of higher timeframe trends when analyzing historical data, it introduces lookahead bias. Traders must understand that historical HTF visuals and signals may appear with perfect precision on past bars, but real-time execution will lack this future data context, potentially resulting in different localized behavior in live markets. 🎨 Visual Guide ● The AlphaTrend Trailing Line Up Trend (Bullish): A bold, solid step-line tracking below the price, rendered in a distinctive golden-yellow (#F0D080). Down Trend (Bearish): A bold, solid step-line tracking above the price, colored in a deep crimson (#7A2010). ● The Cloud Fill Dynamic Channel: A semi-transparent shaded area connecting the active AlphaTrend line to a central Cloud Reference Line (a smoothing of the typical price). This cloud visually represents the buffer zone of the current trend. Color Coding: The cloud dynamically changes color to match the dominant trend (Gold for bullish, Crimson for bearish), allowing for rapid peripheral analysis of market conditions. ● Price Action Overrides Colored Candles: The bodies and wicks of the actual price candles are uniformly colored to reflect the AlphaTrend matrix state, instantly identifying periods of alignment or divergence. ● Execution Elements Signal Labels: Distinct "BUY" and "SELL" textual shapes appear precisely on the chart at the moment the state matrix validates a trend shift. HTF Stepline: When enabled, a secondary, smoothed step-line appears to show the overarching macro trend, colored accordingly to dictate the broader market regime. 📖 How to Use ● Trend Riding and Context The most effective way to utilize this tool is to align the primary chart timeframe with the HTF AlphaTrend line. If the HTF line is Gold, you should strictly look for "BUY" signals generated by the primary indicator to trade in the direction of the macro trend, ignoring temporary bearish signals as minor pullbacks. ● Momentum Breakout Confirmation When you observe a sudden color change accompanied by an unusually large price bar, this is often the Breakout Override triggering. These scenarios represent high-momentum events. Instead of waiting for a retest, aggressive traders may use these specific signals to capture immediate volatility expansions, placing their stop-loss strictly on the opposite side of the newly formed AlphaTrend line. ● Automating Your Strategy For quantitative traders, the indicator handles the heavy lifting of trade logic. Ensure you configure the exact JSON payload strings required by your third-party execution platform (like 3Commas, PineConnector, etc.) in the settings. The indicator will autonomously calculate your risk/reward parameters upon every valid signal and fire a perfectly formatted JSON alert. ⚙️ Inputs and Settings • ⚙️ Core Calculations ATR Multiplier: Defines the sensitivity of the trailing line. Lower values (e.g., 0.5) track price closely for scalping; higher values (e.g., 2.0) provide wide breathing room for swing trades. ATR & MFI Lookback Period: The standard window (default 14) for calculating both volatility and volume momentum. Display Signals: Toggles the visibility of the "BUY" and "SELL" chart labels. • 🛡️ Breakout Override Enable ATR Breakout Override: Turns the momentum-shock detection system on or off. Breakout Sensitivity: Determines how large a price jump must be (relative to the ATR) to force a trend change. Lower values trigger more aggressively. • 🕐 Higher Timeframe Show HTF AlphaTrend: Projects the higher timeframe data onto the current chart. HTF Timeframe: The specific macro timeframe to monitor (e.g., Daily "D" when trading on the 1-Hour chart). • ☁️ Cloud Fill Show Cloud Fill: Toggles the visual buffer zone on the chart. Cloud Reference Length: Adjusts the smoothing period of the central reference line. Color Candles: Enables or disables the overriding of standard chart candle colors based on trend direction. • 🔌 Webhook Execution Config Payload Actions: Four distinct text fields where you can define the exact syntax your external bot requires for entering longs, entering shorts, closing longs, and closing shorts. These values are automatically injected into the dynamic JSON alert string. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Penunjuk Pine Script®
oleh MarkitTick
8
Adaptive Trend Intelligence + SMC + RVOL + ML - FloAlgoThis indicator combines an Adaptive SuperTrend with Smart Money Concepts (SMC) market structure, Relative Volume (RVOL) filtering, and an online Machine Learning model to produce high-confidence trend-following signals. How It Works Adaptive SuperTrend — A SuperTrend band whose ATR multiplier scales automatically based on the short/long volatility ratio. In quiet markets the band tightens; in expansions it widens. An optional noise filter requires price to hold on the new side for N bars before a flip is accepted, eliminating whipsaws. SMC Market Structure Engine — Uses a Stochastic Momentum Oscillator to detect overbought/oversold pivots and build an alternating High/Low swing chain. From those swings it tracks Dow-Theory labels (HH, HL, LH, LL), draws a zigzag, plots S/R zones, and detects BOS (Break of Structure) when price closes beyond the previous major swing confirming trend continuation, and CHoCH (Change of Character) when price closes beyond the prior opposing major swing signaling a trend flip. Both events require an established trend direction and fire only against the correct structural level, preventing false signals on internal corrections. RVOL Filter — Computes directional buy/sell volume from candle structure and ranks it against a rolling percentile. Signals are suppressed unless the directional volume percentile clears a configurable threshold, keeping entries to high-participation moves only. Online ML Model — A logistic regression model with L2 regularisation trained incrementally on every confirmed SuperTrend flip. It learns 17 features per signal including candle shape, volume, momentum, ATR slope, RSI, Bollinger position, RVOL, and SMC bias, then resolves each trade when the next flip occurs. Probability is displayed in the info table and can gate signals via a minimum confidence threshold. Visual Elements SuperTrend line with bull/bear fill ▲ / ▼ signal arrows and labels BOS / CHoCH labels at structure breaks HH / HL / LH / LL Dow labels at each pivot Zigzag lines connecting momentum pivots S/R zone boxes, colour-coded and fading on break Info table showing Signal, Trend, ML Confidence, RVOL, Momentum, Volatility, Quality, MS Bias, and last Structure event Key Settings ATR Length — lookback for ATR calculation ATR Multiplier — base band width Adaptive Multiplier — auto-scales multiplier with volatility ratio Noise Filter (bars) — bars price must hold before flip is confirmed RVOL Lookback — rolling window for volume percentile ranking RVOL Min Percentile % — minimum directional volume percentile to allow a signal Min ML Probability % — minimum ML model confidence to allow a signal Stochastic Length — sensitivity of the momentum pivot oscillator Overbought / Oversold — stochastic zone thresholds for pivot detection Filter Signals by MS — gate signals to align with SMC trend direction Max S/R Zones per Side — maximum supply/demand boxes kept on chart
Penunjuk Pine Script®
oleh FloAlgo
Whale Liquidity and Absorption Profile [AlgoAlpha]🟠 OVERVIEW The Whale Liquidity and Absorption Profile maps intrabar buying, selling, delta, and absorption activity into stacked horizontal profiles. It samples lower timeframe volume data inside each chart candle, then groups that activity into price bins to show where aggressive participation and absorption occurred across a configurable lookback range. The script separates strong and weak activity using a percentile-based strength filter. It also builds a delta heatmap, absorption profile, historical absorption heatmap, and local absorption zones. Together, these components help traders identify where liquidity entered the market, where imbalance formed, and where price may react again. 🟠 CONCEPTS Intrabar Sampling — Lower timeframe volume and directional data are requested using request.security_lower_tf() to reconstruct buying and selling activity inside each chart candle. Strength Filter — Intrabar volume samples are ranked by percentile. Volumes above the selected percentile threshold are classified as strong activity while lower values are treated as weak activity. Delta Profile — Buy volume minus sell volume calculated per price bin. Positive delta shows aggressive buying while negative delta shows aggressive selling. Absorption Volume — Bullish volume occurring in upper wicks and bearish volume occurring in lower wicks. This is used to estimate where opposing liquidity absorbed incoming pressure. Price Bins — The full price range inside the lookback is divided into vertical bins. All volume, delta, and absorption calculations are aggregated into these bins. Absorption Peaks — Local highs in the absorption profile compared against neighboring bins. These areas are drawn as support and resistance zones. 🟠 FEATURES Multi-Layer Volume Profile — Displays stacked buying and selling activity across price levels. • Separates strong bullish, weak bullish, weak bearish, and strong bearish volume. • Optional strong-only mode hides weak participation and normalizes the profile using only strong activity. Delta Heatmap — Displays signed delta values directly inside each profile cell. • Positive delta highlights dominant buying pressure. • Negative delta highlights dominant selling pressure. Absorption Profile — Aggregates wick-based absorption activity into a separate horizontal profile. (Buys at high wicks, Sells at low wicks) Historical Absorption Heatmap — Creates rolling 5-bar heatmap snapshots to show where historical absorption accumulated over time. Absorption Zones — Detects local absorption peaks and projects them across the chart as potential reaction areas. Strong Activity Bubbles — Marks the strongest intrabar buying and selling events directly on price using percentile-ranked bubble tiers. 🟠 HOW TO USE Load 2 instances of the indicator to bypass box drawing limits and use both the Absorption heatmap and the profiles. Watch for stacked strong bullish volume combined with positive delta — this can show aggressive participation entering a price region. Watch for stacked strong bearish volume combined with negative delta — this can show heavy selling pressure dominating a level. Use absorption zones as areas where price previously encountered opposing liquidity — these zones may act as future reaction points. Compare delta against absorption — strong positive delta with heavy upper-wick absorption can indicate trapped buyers or resistance. Use the historical absorption heatmap to locate repeated liquidity interaction zones that price continues to respect over time. Increase profile resolution for tighter price detail and reduce it for broader structural zones. Enable strong-only mode to isolate high-participation liquidity events and remove weaker intrabar activity from the profile. 🟠 CONCLUSION Whale Liquidity and Absorption Profile combines intrabar volume profiling, delta analysis, and wick-based absorption detection into a single structured framework. The indicator separates strong and weak participation while mapping where liquidity was absorbed across price levels. This gives traders a clearer view of imbalance, participation strength, and potential reaction zones inside the current market structure.
Penunjuk Pine Script®
oleh AlgoAlpha
28
RMA ATR BandsRMA ATR Bands is a directional volatility trend indicator built around a smoothed RMA baseline combined with asymmetric ATR expansion bands. Unlike traditional symmetric ATR envelopes, the indicator uses independent upper and lower ATR multipliers to create adaptive directional filtering and trend regime detection. This allows the system to respond differently to bullish and bearish volatility conditions while maintaining a smoother baseline structure through RMA smoothing. Bullish regime: • Price closes above the upper ATR expansion band Bearish regime: • Price closes below the lower ATR expansion band
Penunjuk Pine Script®
oleh SchizoQuant
11
Adaptive Flow II | AnonycryptousAdaptive Flow II | Anonycryptous Description & user manual Why this indicator is different Most trend-following indicators use a fixed moving average. A 50-period EMA moves at the same speed whether the market is trending hard or grinding sideways. It cannot distinguish between a clean directional move and noise. It gives the same weight to a volatile consolidation as it does to a strong impulse. The result is signals that arrive late in trends and fire repeatedly during chop. Adaptive Flow v2 works differently. At its core is a Kaufman Adaptive Moving Average — a moving average that measures the efficiency of price movement on every single bar and adjusts its own speed accordingly. When price is moving cleanly in one direction with low noise, the flow line accelerates toward price. When price is churning sideways with high volatility and no direction, the flow line nearly stops moving. It adapts. Automatically. Without requiring any manual intervention. V2 builds significantly on this foundation. It adds five configurable stop modes, full market structure detection through BOS and CHoCH events, three independent signal filters, dynamic extension bands, a session-anchored VWAP, and an expanded dashboard. The result is a complete adaptive trend and structure system — not just a trend indicator, but a context-aware trading framework. Important notice Adaptive Flow v2 generates signals based on technical indicator alignment. These signals are not financial advice. They do not predict the future. They do not guarantee profitability. All trading decisions are made entirely by the user. Always manage your own risk. Always apply your own judgment. 1. Overview Adaptive Flow v2 is an adaptive trend-following indicator built around a Kaufman Adaptive Moving Average with a configurable stop engine and full market structure detection. What it includes: - Kaufman Adaptive Moving Average rendered as a neon glow line with four stacked plot layers - Five stop modes: ATR Trailing, Supertrend, Chandelier, Donchian, and Volatility Pivot - Cloud fill between the flow line and the stop line, reflecting the current trend state - Dynamic extension bands above and below the flow line at configurable ATR distance - BOS and CHoCH structure detection with BOS confirmation filter - Pivot high and low target lines that change color when broken - EMA 200 macro trend filter with higher timeframe support - ADX filter for directional environment confirmation - Session filter to restrict signals to a configurable trading window - Signal cooldown to prevent repeated triggering - Session-anchored VWAP with daily and custom session modes - Bar coloring reflecting the current trend state - Three presets: default, fast, and smooth - Live dashboard with 13 data rows - Seven alert conditions 2. The flow line — Kaufman Adaptive Moving Average The flow line is the visual heart of Adaptive Flow. On every bar it calculates an Efficiency Ratio — a measure of how directionally efficient price movement is relative to total volatility over the lookback period. When the Efficiency Ratio is high — price is moving strongly in one direction with low noise — the flow line accelerates toward price. When the Efficiency Ratio is low — price is ranging with high volatility — the flow line nearly stops moving. This adaptive behavior means the flow line naturally stays close to price during strong trends and pulls away only during genuine transitions. It is not a lagging average that mechanically follows price at a fixed delay. It responds to market character. The flow line is rendered with four stacked plot layers — a sharp core at full opacity and three progressively wider, more transparent layers behind it — creating a neon glow effect that makes it visually distinct on any chart. The noise filter adds an additional gate: KAMA only advances when the price displacement exceeds ATR × threshold. This prevents the flow line from reacting to insignificant micro-movements during low-momentum conditions. Disable it for maximum responsiveness in strong trending environments. 3. Stop engine — five modes The stop engine calculates a dynamic stop level from the flow line. All five modes use the flow line as their reference point, not raw price. This means the stop inherits KAMA's adaptive smoothing before calculating any distance. When the flow line crosses the stop level, the trend flips and a signal fires. 3.1 ATR Trailing (default) The stop trails the flow line at a fixed ATR distance using a ratchet mechanism — it only moves in the direction of the trend and locks in the floor or ceiling. This produces the characteristic smooth, flowing wave that follows the flow line closely. The cloud between the flow line and the stop gives a live view of the trend zone width. Default and recommended for most users. 3.2 Supertrend ATR band above or below the flow line with ratchet mechanism. Similar to ATR Trailing but calculated differently, producing a more angular step-like stop line. More angular appearance, fewer intermediate flips. 3.3 Chandelier The stop trails the highest or lowest flow line value over a configurable lookback window, then subtracts or adds ATR × multiplier. Exits when the flow line has sustained a reversal beyond the lookback range. Better for trending markets where you want to trail a historical extreme rather than the current level. 3.4 Donchian The stop follows the highest or lowest flow line value over a rolling window with no ATR component. Purely range-based. The stop level is exactly the rolling high or low of the flow line — clean, simple, no volatility scaling. 3.5 Volatility Pivot The stop anchors to the last confirmed pivot high or low of the flow line plus an ATR buffer. Structurally aware — the stop sits at a level where the flow line previously reversed, not at an arbitrary distance. Best for traders who want the stop to respect structure rather than trail at a fixed distance. 4. Extension bands When enabled, two bands are drawn above and below the flow line at ATR × multiplier distance. They are not stop levels — they are extension context. When price reaches the upper band during a bullish trend, it may indicate an overextended condition. When price compresses back toward the flow line after touching a band, it may indicate a pullback area. The bands move with the flow line and adapt to current volatility. 5. Market structure — BOS and CHoCH Adaptive Flow v2 includes a full market structure detection engine that runs alongside the adaptive trend engine. Pivot highs and lows are detected on price using configurable left and right bar lookbacks. When price closes beyond a confirmed swing level, the indicator classifies the event as either a Break of Structure or a Change of Character. A BOS fires when price closes beyond a swing level in the direction of the existing structural trend — confirming continuation. Drawn as a dashed line A CHoCH fires when price closes beyond a swing level against the existing structural trend — signaling a potential reversal. Drawn as a solid line. The BOS confirmation requirement prevents false reversals. When set to 1 (default), at least one BOS must confirm the current structural trend before a CHoCH can flip it. This blocks the common false reversal where a sharp pullback briefly closes beyond a swing level before the trend reasserts. Pivot target lines are drawn automatically at the last confirmed pivot high and low. They extend to the right and change color when price closes through them. 6. Signal filters Three optional filters are available. All three can be combined. A signal only fires when all active filters agree. EMA 200 — always active as a macro filter. Bullish signals only fire above the EMA 200. Bearish signals only below. Set the EMA 200 timeframe to a higher timeframe (1H or 4H) when trading on lower timeframes — the native EMA 200 on a 1-minute chart only covers a few hours and provides no meaningful macro context. ADX filter — when enabled, signals only fire when ADX is at or above the configured threshold. Below this level the market is typically ranging and directional signals carry less weight. Default threshold of 20 removes the weakest trend environments. Session filter — when enabled, signals only fire during the configured trading window. Defined in HHMM-HHMM format using exchange timezone. Outside the window the flow line continues calculating but no new signals are generated. Signal cooldown — minimum bars between two signals in the same direction. Prevents repeated triggering during choppy conditions around the stop level. 7. VWAP The VWAP provides a volume-weighted price reference that resets at the start of each session. It represents the average price paid weighted by volume — a key reference for intraday value and institutional order flow. Daily mode resets every calendar day. Custom mode anchors to a specific session defined by start and end times in HHMM-HHMM format. Timezone selection ensures correct boundary alignment. 8. Presets Three preset configurations are available. Selecting a preset overrides the core KAMA calculation parameters. Default — balanced for swing trading on 4H and daily charts. Adaptive length 14 | Fast constant 2 | Slow constant 30 | Noise threshold 0.3. Fast — built for scalping on 1 to 15 minute charts. Adaptive length 6 | Fast constant 2 | Slow constant 15 | Noise threshold 0.15. Shorter lookback for faster momentum shift detection. Lower noise threshold preserves full adaptive speed. Smooth — designed for position trading on daily and weekly charts. Adaptive length 21 | Fast constant 3 | Slow constant 40 | Noise threshold 0.5. Extended lookback demands sustained momentum before accelerating. Aggressive noise filtering for high-conviction reads only. 9. Dashboard The dashboard displays the live state of all indicator components and updates on every bar. Rows displayed: - Adaptive Flow — indicator name with trend-colored header and current timeframe - Trend — current flow line direction: bullish or bearish - Stop Mode — active stop mode in use - Structure — current structural direction from BOS/CHoCH logic - EMA 200 — whether price is above or below the macro filter - VWAP — whether price is above or below session value - ADX — current ADX value with confirmation indicator - Session — whether the session filter is active and the current bar is inside the window - Noise Filter — whether the noise gate is active - Stop Distance — distance from current close to stop level in ATR multiples and as a percentage - Trend Bars — number of bars the current trend has been active - BOS Count — number of confirmed BOS events in the current structural direction - Signal — last signal fired: buy, sell, CHoCH, BOS, or none 10. Settings reference KAMA & Calculation - Price Source: input for the flow line calculation - Adaptive Length: efficiency ratio lookback period - Fast Constant: smoothing speed during trending conditions - Slow Constant: smoothing speed during ranging conditions - Enable Noise Filter: toggle the displacement gate - Noise Threshold: minimum ATR multiple required to advance the flow line - Preset: Default, Fast, or Smooth Stop Engine - Stop Mode: ATR Trailing, Supertrend, Chandelier, Donchian, or Volatility Pivot - ATR Length: volatility measurement period - ATR Multiplier: distance scaling for the stop level - Stop Lookback: rolling window for Chandelier and Donchian modes - Pivot Buffer: ATR buffer for Volatility Pivot mode Market Structure - Show BOS / CHoCH: toggle structure detection - Pivot Left / Right Bars: swing confirmation lookback - Max Structure Levels: maximum lines shown on chart - BOS Required Before CHoCH Flip: false reversal filter - Show Pivot Target Lines: toggle automatic target lines - Target Line Color and Width Signal Filters - EMA 200 Timeframe: leave empty for chart timeframe - Show EMA 200: toggle line and label visibility - EMA 200 Color - Enable ADX Filter: toggle directional environment gate - ADX Length and Threshold - Enable Session Filter: toggle session-based signal restriction - Session Window: HHMM-HHMM format - Signal Cooldown: bars between signals VWAP - Session: Daily or Custom - Timezone: UTC, Exchange, or major financial center timezone - Session Window: for Custom mode - Show VWAP: toggle line and label - VWAP Color Visuals - Bull Color and Bear Color - Cloud Transparency: fill between flow line and stop - Show Extension Bands: toggle ATR extension bands - Extension Band Multiplier: distance from flow line - Show Reversal Signals: toggle triangle markers - Color Candles: toggle bar coloring - Candle Transparency Dashboard - Show Dashboard - Size: Tiny, Small, or Normal - Position: Top Left, Top Right, Bottom Left, or Bottom Right 11. How to use 11.1 Initial setup Select a preset matching your primary trading style. Set the EMA 200 timeframe to a higher timeframe when trading on lower timeframes — 60 for 1H, 240 for 4H. Set the VWAP to Daily or configure a custom session matching your primary market. Choose a stop mode — ATR Trailing is the default and works well across all timeframes. Enable the session filter and ADX filter if you want stricter signal conditions. 11.2 Reading the chart The flow line and its glow indicate the current adaptive trend. Green indicates a bullish environment. Red indicates a bearish environment. The cloud between the flow line and the stop shows the trend zone width — a wide cloud indicates strong momentum, a narrowing cloud indicates the flow line is slowing. The stop line is where the trend flips. A reversal signal fires when the flow line crosses it. Triangle markers appear at the stop line at the signal bar. Extension bands show how far price has moved from adaptive value. Price at the upper band in a bullish trend may indicate overextension. Price returning toward the flow line after touching a band may offer a pullback reference. BOS and CHoCH lines show structural context. Use them to understand whether the trend is in a confirmation phase (BOS firing repeatedly) or approaching a potential reversal (flow line slowing while price approaches a structural level). 11.3 Timeframe guide 1 to 5 minutes — Fast preset. EMA 200 timeframe set to 60 or 240. Session filter recommended. 15 to 30 minutes — Fast or Default preset. EMA 200 timeframe 240 or D. 1 hour to 4 hours — Default preset. Native EMA 200 or D timeframe. Daily and above — Smooth preset. Native EMA 200. 11.4 Stop mode selection guide ATR Trailing — best for most situations. Smooth, flowing, closely follows the flow line. Supertrend — fewer flips, more angular. Good for lower timeframe noise reduction. Chandelier — suited for trending markets where you want to trail a recent high or low. Donchian — clean range-based stop with no ATR influence. Simple and transparent. Volatility Pivot — best when you want the stop at a structurally meaningful KAMA level. 11.5 Context Adaptive Flow v2 identifies adaptive trend direction and market structure. It does not filter by fundamental events, news, or macro calendar. A bullish signal during a risk-off macro event may fail more often than one in a clear trending environment. Always apply your own context and judgment alongside the indicator output. 12. Alerts Seven alert conditions are available: - Bull Trend: flow line crosses above the stop level, EMA 200 above, all active filters passed. - Bear Trend: flow line crosses below the stop level, EMA 200 below, all active filters passed. - Any Trend Change: fires on either bull or bear trend signal. - Bull CHoCH: market structure flips to bullish via Change of Character. - Bear CHoCH: market structure flips to bearish via Change of Character. - Bull BOS: bullish Break of Structure confirms trend continuation. - Bear BOS: bearish Break of Structure confirms trend continuation. All alerts include exchange, ticker, and interval in the message. 13. Disclaimer This indicator is provided for educational and informational purposes only. All outputs are based on historical price action calculations and do not guarantee future results. Trading financial instruments involves significant risk of loss. Past performance does not indicate future results. Use at your own discretion.
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