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Flipped Inverted Z-Score (Subpane)Flipped Inverted Z-Score (Subpane) Indicator What It Does This indicator measures how far an asset's current price deviates from its long-term average, expressed as a Z-Score — a statistical measure of standard deviations from the mean. The description "flipped inverted" means the score rises when price is above its long-term average (bullish territory) and falls when price is below it (bearish territory), making it intuitive to read at a glance. The indicator also highlights when an asset is overheated (orange) and when the asset has cooled off significantly (blue). Oftentimes when an asset is overheated investors are taking profit, and when an asset is oversold investors are accumulating. It's important though to note that an asset can be overbought or oversold for a long period of time (or may in fact never return to prior highs or lows). The z-score highlights bright green and bright red at extreme values, further enhancing these overbought and oversold areas. The indicator occupies a separate subpane below your main chart, so it never clutters your price action. Core Calculations Three values drive everything: 1-Year Moving Average (MA) — the long-term baseline representing "fair value" Standard Deviation Proxy MA — a shorter MA used to normalize the deviation, making the score comparable across different assets and price ranges Flipped Z-Score — computed as -(1Y MA - Price) / Std Dev MA, so positive = price above fair value, negative = price below The Z-Score is dimensionless and asset-agnostic, meaning it works equally well on Bitcoin at $100k or a stock at $15. This normalization is the key benefit over a plain moving average crossover indicator. Visual Elements Z-Score Line The main line changes color dynamically: 🟢 Lime — Strongly above threshold (bullish momentum) 🟩 Green — Mildly positive (above zero, below threshold) 🟥 Maroon — Mildly negative (below zero, above threshold) 🔴 Red — Strongly below threshold (bearish momentum) Slow & Fast Moving Averages of the Z-Score Two smoothed MAs are overlaid on the Z-Score line itself, helping filter noise and identify trend direction within the indicator. Both turn green above zero and red below zero. Background Highlighting (Hot/Cold Zones) An optional orange or blue background appears when conditions align for potentially overbought or oversold readings: 🟠 Orange background — Z-Score is elevated, above both MAs, and exceeds the hot threshold → potential overbought/overheated zone 🔵 Blue background — Z-Score is depressed, below both MAs, and exceeds the cold threshold → potential oversold/undervalued zone Crossover Dots (Optional Alerts) Small colored dots mark moments when the Z-Score crosses above or below the Slow MA — useful as entry/exit signal triggers or for setting TradingView alerts. Baseline Reference Line A horizontal line at zero marks the dividing line between price being above or below long-term fair value. (Additional lines can be added to help as references. You may find that certain assets are less volatile, and therefore deviate less from the base reference line. This difference may also occur over time for example in the case of a new asset versus a more mature asset.) User-Configurable Settings Setting Default — What It Controls Price Source (Close) — Which OHLCV value drives the calculation 1-Year MA Period (365 bars) — Long-term "fair value" baseline length Std Dev Proxy Period (150 bars) — Normalization window, shorter = more sensitive Z-Score Deviation Threshold (±SD) (0.50) — Where the line color flips from mild to strong Background Hot Threshold (0.34) — Minimum Z-Score to trigger orange background Background Cold Threshold (0.40) — Minimum Z-Score depth to trigger blue background Enable Background Highlighting (On) — Toggle hot/cold background on or off Show Horizontal Reference Lines (On) — Toggle the zero baseline line Show Z-Score Moving Averages (On) — Toggle the slow and fast MA lines Slow MA Period (50 bars) — Smoothing period for the trend-following MA Fast MA Period (3 bars) — Smoothing period for the responsive MA Show Crossover Dots (Off) — Toggle the MA crossover signal dots Practical Use Cases Macro cycle positioning — on daily/weekly charts with default 365-bar settings, the score gives a birds-eye view of where an asset sits in its broader cycle, useful for sizing positions larger or smaller Overbought/oversold screening — orange and blue backgrounds highlight historically stretched conditions worth watching for reversals Trend confirmation — when the Z-Score, Slow MA, and Fast MA are all aligned on the same side of zero, it confirms the broader trend direction Cross-asset comparison — because the score is normalized, you can apply identical settings to BTC, ETH, SPY, or any stock and compare readings directly Alert triggers — crossover dots (when enabled) give discrete signal events you can attach TradingView alerts to, removing the need to watch the chart constantly Tips for Tuning Shorter timeframes (1H, 4H): consider reducing the 1-Year MA period and Std Dev period proportionally, and uncomment the threshold lines in the source code for finer visual guidance More sensitive signals: lower the Fast MA period toward 1–2 and tighten the deviation threshold Reduce noise: raise the Slow MA period and increase the hot/cold thresholds so backgrounds only appear during truly extreme readings
Wskaźnik Pine Script®
od chillcrypto
EMA MACD Trend Decision TableEMA MACD Decision Table v6 This Pine Script v6 overlay indicator summarizes trend, momentum, volume, higher-timeframe context, and ATR-based planning levels into one decision table. The indicator uses EMA 9, EMA 21, EMA 50, EMA 100, EMA 200, MACD, RSI, ADX / DMI, volume confirmation, optional higher-timeframe EMA trend, and ATR risk planning. It produces a numeric decision score on every bar. Bullish confirmations add points, bearish confirmations subtract points, and the final score is converted into Strong Buy, Buy, Neutral, Sell, or Strong Sell. BUY labels appear only when the score first reaches Strong Buy territory. SELL labels appear only when the score first reaches Strong Sell territory. This tool is designed for chart context and planning. It is not financial advice and does not guarantee trade results. Scoring Logic Condition | Score --- | --- EMA 9 above EMA 21 and price above EMA 50 | +2 EMA 9 below EMA 21 and price below EMA 50 | -2 Price above EMA 200 | +1 Price below EMA 200 | -1 MACD above signal and histogram above 0 | +2 MACD below signal and histogram below 0 | -2 MACD bullish crossover | +1 MACD bearish crossover | -1 RSI above 55 | +1 RSI below 45 | -1 ADX above threshold and +DI above -DI | +1 ADX above threshold and -DI above +DI | -1 Volume above average and candle closes above open | +1 Volume above average and candle closes below open | -1 Higher-timeframe close above its EMA when enabled | +1 Higher-timeframe close below its EMA when enabled | -1 Decision Output Score Range | Decision --- | --- >= 5 | Strong Buy 2 to 4 | Buy -1 to 1 | Neutral -2 to -4 | Sell <= -5 | Strong Sell Decision Table Rows Row | What It Shows | How To Read It --- | --- | --- Decision | Final decision and total score | Main summary of bullish, bearish, or mixed confirmation Last Price | Latest close and price direction | Shows current price context Bar Change | Close-to-close change and percent change | Positive is above prior close, negative is below prior close O / H / L | Current open, high, and low | Shows current candle range EMA 9 / EMA 21 | Short-term EMA relationship | EMA 9 above EMA 21 is bullish, below is bearish EMA 50 / EMA 200 | Medium and long trend context | Price above EMA 200 supports bullish trend, below supports bearish trend MACD | MACD state and histogram | Bullish when MACD is above signal and histogram is positive RSI | RSI state and value | Above 55 bullish, below 45 bearish, above 70 overbought, below 30 oversold ADX / DMI | Trend strength and direction | Strong +DI lead is bullish, strong -DI lead is bearish Volume | Volume confirmation | Above-average bullish candle confirms buyers; bearish candle confirms sellers HTF Trend | Optional higher-timeframe EMA trend | Bullish above HTF EMA, bearish below, Off when disabled ATR | Current Average True Range | Risk planning unit Long Plan | ATR-based long stop and target | Reference levels only Short Plan | ATR-based short stop and target | Reference levels only Candle Color Meaning Score Range | Meaning | Candle Color --- | --- | --- >= 5 | Strong Buy | Lime 2 to 4 | Buy | Green -1 to 1 | Neutral | Normal chart color -2 to -4 | Sell | Maroon <= -5 | Strong Sell | Red ATR Planning Formulas Plan | Formula --- | --- Long stop | close - ATR * stop multiplier Long target | close + (close - long stop) * reward/risk Short stop | close + ATR * stop multiplier Short target | close - (short stop - close) * reward/risk Data Window Values Code | Meaning --- | --- 2 | Strong Buy 1 | Buy 0 | Neutral -1 | Sell -2 | Strong Sell Alert Logic The script includes alerts for Strong Buy Decision, Strong Sell Decision, MACD Bullish Cross, and MACD Bearish Cross. Strong decision alerts trigger when the score enters strong buy or strong sell territory. MACD alerts are based only on MACD line and signal line crossovers. Reading The Output Green output means bullish confirmations are stronger. Red output means bearish confirmations are stronger. Gray output means conditions are mixed or neutral. The decision score is strongest when trend, momentum, volume, and higher-timeframe direction all agree.
Wskaźnik Pine Script®
od patelanishp
Estrategia DPO - ArteDeJubilarte**English Description** This strategy combines the Detrended Price Oscillator (DPO), MACD, ADX/DI and two simple moving averages to identify higher-quality trend continuation signals. The main entry logic is based on the DPO crossing the zero line, confirmed by MACD direction, directional movement through +DI/-DI, and a fast SMA crossing a slow SMA within a configurable confirmation window. The system includes visual BUY, SELL and EXIT signals, configurable alerts, optional session filters, Stop Loss, Take Profit and Trailing Stop management. The DPO has been implemented in a non-repainting operational format, avoiding future-looking displacement and making the signals more realistic for backtesting and live chart analysis. Designed primarily for Forex pairs on the 1-hour timeframe, this script is intended for educational, analytical and testing purposes. **Signature** Fran Contreras Judicial Expert in Finance, Wealth, Real Estate and Civil/Commercial Mediation. MiFID II Financial Analyst. Quantum Algorithm Creator. Decentralized Blockchain Assets and Tokenization. 🌐 Perito Profesional Visit my TradingView profile for more information. ================ **Descripción en Español** Esta estrategia combina el Detrended Price Oscillator (DPO), MACD, ADX/DI y dos medias móviles simples para identificar señales de continuación de tendencia con mayor calidad técnica. La lógica principal de entrada se basa en el cruce del DPO sobre la línea cero, confirmado por la dirección del MACD, el movimiento direccional mediante +DI/-DI y el cruce de una media móvil rápida sobre una media móvil lenta dentro de una ventana configurable de confirmación. El sistema incluye señales visuales de COMPRA, VENTA y CIERRE, alertas configurables, filtro horario opcional, Stop Loss, Take Profit y Trailing Stop. El DPO ha sido programado en formato operativo sin repainting, evitando desplazamientos visuales que miren datos futuros y haciendo que las señales sean más realistas tanto para backtesting como para análisis en gráfico real. Diseñado principalmente para pares Forex en temporalidad de 1 hora, este script está orientado a fines educativos, analíticos y de prueba. **Firma** Fran Contreras Perito Judicial en Finanzas, Patrimonio, Inmuebles y Mediación Civil/Mercantil. Analista Financiero MiFID II. Creativo de Algoritmos Cuánticos. Activos Blockchain Descentralizados y Tokenización. 🌐 Perito Profesional Visita los datos de mi perfil de TradingView para más información.
Strategia Pine Script®
od ArteDeJubilarte
EFI & MACD Advanced Pro Indicator Synopsis: EFI & MACD Advanced Pro This custom TradingView indicator—created for Simon20cent—is a dual-momentum confirmation filter designed to isolate high-probability trend phases by synchronising a volume-weighted oscillator with a trend-following moving average cross. It strips away chart noise by compressing two distinct indicator panels into a single, highly scannable visual pane. Core Components & Logic The system monitors the interaction between two classic technical metrics: 1. Elder’s Force Index (EFI): Measures the directional power of a move by multiplying price change by volume. It determines whether buyers or sellers dominate the volume profile (Value > 0 or < 0). 2. MACD vs. Signal Line: Tracks classic moving average momentum. A bullish state is triggered when the fast MACD line crosses above the slow Signal line (MACD > Signal). Visual Matrix (How to Read the Pane) The indicator renders exclusively as a zero-anchored Column Chart, utilizing four distinct conditions: * 🟩 Bright Green Column (+1.0): Full Bullish Alignment. The EFI is above zero and accelerating upward, while the MACD line is securely above its signal line. * 🟥 Bright Red Column (-1.0): Full Bearish Alignment. The EFI is below zero and accelerating downward, while the MACD line is securely below its signal line. * 🟦 Light Blue Column (+0.5): Divergence / Market Out of Alignment. The indicators do not agree, but the EFI remains positive (>0), suggesting weak bullish underlying volume. * 📘 Dark Navy Column (-0.5): Divergence / Market Out of Alignment. The indicators do not agree, but the EFI remains negative (<0), suggesting weak bearish underlying volume. Advanced Institutional Features * Momentum Grading (Two-Tone Gradients): The columns automatically shift to a darker shade of green or red if structural momentum begins to flatten, providing an early structural warning before a trend formally breaks. * Trend Exhaustion Alerts (Orange Triangles): Small orange triangles automatically print above or below the columns the exact moment a strong green or red streak loses velocity, marking ideal profit-taking windows. * Integrated Alert Engine: Features pre-built Pine Script hooks for Bullish Alignment, Bearish Alignment, and Trend Exhaustion, allowing you to link the indicator directly to TradingView phone push notifications or email alerts. 🟢 Long Exit Warning (Orange Triangle pointing Downward) This prints at the top of the pane (+1.1) to signal it is time to scale out or close a long position. It triggers when you are in a valid long streak (Green columns), but the very next bar suffers a breakdown in power: * The Math: The indicator checks if Elder's Force Index (EFI) starts falling compared to the previous bar, OR if the MACD Line slips back below the Signal Line. * The Meaning: Buyers are running out of breath. Even though price might still be hovering near the highs, the volume-weighted power (EFI) is dropping, meaning institutional buying pressure has dried up. 🔴 Short Exit Warning (Orange Triangle pointing Upward) This prints at the bottom of the pane (-1.1) to signal it is time to cover your short position. It triggers when you are in a valid short streak (Red columns), but seller momentum hits exhaustion: * The Math: The indicator checks if EFI starts rising (climbing back toward zero), OR if the MACD Line crosses back above the Signal Line. * The Meaning: Sellers are exhausted. The downward volume is thinning out, and profit-taking by larger players is likely about to cause a bullish bounce or a prolonged squeeze. 💡 Trading Strategy Tip Do not use these orange triangles to open new trades. Treat them strictly as protective exit signals. When you see one appear while you are in profit, it means the high-velocity phase of that specific wave has ended, and the indicator is about to print unaligned blue columns.
Wskaźnik Pine Script®
od Simon20cent
Momentum Conviction [HermesCore]WHAT THIS INDICATOR DOES Momentum Conviction watches two things at the same moment: where price momentum turns, and how much agreement stands behind that turn. The turn is an EMA crossover — the fast EMA (Exponential Moving Average) crossing the slow one — but only when the MACD histogram (Moving Average Convergence Divergence, a standard momentum gauge) is leaning the same way. A LONG fires when the fast EMA crosses above the slow EMA while MACD momentum is positive; a SHORT is the exact mirror. A cross with no momentum behind it is ignored. Every signal that does fire is then graded 0 to 5 by a conviction score, built from five independent checks the moment the signal prints. You decide how much conviction you require: show every signal, or raise the minimum and keep only the ones with weight behind them. WHY IT IS DIFFERENT Most moving-average tools print an arrow on every cross and leave you to separate the real ones from the noise by eye. My rules are: A cross is not a signal on its own. It has to happen while MACD momentum agrees. A large share of the crosses that fail are crosses that fired into flat or opposing momentum; gating on the histogram removes them before they ever reach the chart. The score is a filter, not decoration. It is not a confidence label added after the fact — it is five yes/no facts, known at signal time, summed. Set a minimum and the weak signals never appear. The higher timeframe gets a vote, not the final word. One of the five points is HTF agreement, so you can weigh it without being ruled by it. ADX is deliberately excluded. I tested it repeatedly on the charts this was built for and it did not earn a place. Everything updates on confirmed bars only. No intrabar flicker, no repainting, and the higher-timeframe reads use no look-ahead. HOW TO READ THE CHART LONG bubble (green, below the bar) and SHORT bubble (red, above it) mark each qualifying signal. Bubble size is adjustable. The gradient EMA cloud is aqua when the fast EMA sits above the slow one (uptrend lean) and magenta when below. The slow EMA carries a soft gold glow so the spine of the trend is always easy to find. A faint background tint colours the whole pane in the trend colour — a peripheral regime cue, nothing to act on by itself. A faint gold background band shows the previous day's and previous week's range, for context on where price sits inside the larger structure. THE CONVICTION SCORE Each check is worth one point, decided at signal time, and never changes afterwards: Momentum strength — the MACD histogram is larger than its own 50-bar average: the push is bigger than this market's normal push. +1 Slope agreement — the fast EMA is itself moving in the signal's direction, not merely crossing. +1 Higher-timeframe trend — the chosen HTF (4H by default) is trending the same way; its price and 50/200 EMAs agree. +1 Not over-extended — price is within a set ATR (Average True Range, a volatility measure) distance of the slow EMA, so you are not entering after the move has already run. +1 RSI room — RSI (Relative Strength Index, 0–100) is not already at an extreme in the signal's direction; there is room left to travel. +1 Five of five is a cross with bigger-than-normal momentum, sloping the right way, aligned with the higher timeframe, entered near value, with room to run. Zero is a bare cross with nothing behind it. The minimum-score input is where you set your own bar. HOW I USE IT The defaults are deliberately fast (EMA 2/12) — a low-timeframe, many-signals setting. Slow the lengths down for swing work and you get fewer, heavier signals. I treat a high-score signal that agrees with the higher timeframe as the one worth acting on, and a low-score signal as information about the tape rather than a trade. The honest part: this is trend and momentum logic. It earns its keep when the market trends and gives a good deal of it back in ranges. The regime tint and the HTF vote exist to keep you on the right side of that question, not to solve it — be honest with yourself about which regime you are actually in. SETTINGS THAT MATTER EMA fast/slow and MACD lengths — the engine. Defaults are fast; raise them for higher timeframes and fewer, heavier signals. Minimum score (0) — your conviction bar. 0 shows everything; raise it to thin the chart to signals with agreement behind them. Higher timeframe (4H) — the trend you check against. Match it to your horizon. Max distance to slow EMA (2.0 ATR) — how far from value still counts as "not over-extended." RSI overbought/oversold (72/28) — the "room left" thresholds. Each score component can be switched off individually if you want to see what it contributes on its own. ALERTS Momentum Conviction LONG and Momentum Conviction SHORT, both firing on the confirmed close of the signal bar, with ticker and timeframe in the message. CALCULATION DETAILS All logic evaluates on confirmed bars. A signal cannot appear or disappear inside a forming candle. The trigger is the fast/slow EMA cross; the gate is the sign of the MACD histogram on the same close. The higher-timeframe trend uses that timeframe's prior-bar close and 50/200 EMAs, requested with no look-ahead, so it does not repaint. The conviction score is computed once, at signal time, from the values listed above. HONEST LIMITATIONS This is trend-following momentum. In a range it will cross back and forth and hand gains back; no filter removes that, it only thins it. The score is a hypothesis about signal quality, not a measured edge. This indicator does not keep score for you. If you want to know whether higher scores actually perform better on your symbol, run the matching strategy version in the Strategy Tester with realistic costs and read the result yourself. The defaults trade often. On a live account, slippage and spread on frequent entries matter more than the chart suggests — cost everything before you believe anything. Signals are evaluated at the close; real fills happen later and worse. Treat the chart as the ideal case. It runs on any symbol and timeframe, but "runs" is not "has an edge" — whether it works on your market is yours to verify. Past behaviour is not the next signal. Not financial advice. It manages no positions and places no orders. ORIGINALITY The ingredients — EMA crosses, MACD, RSI, ATR — are as old as charting. The momentum-gated trigger, the five-factor conviction score and its use as a hard filter, the regime-aware visual language and the non-repaint construction are my own work in Pine v6. Every value the script uses is recomputable from the rules above. Questions and suggestions are welcome in the comments. Enjoy.
Wskaźnik Pine Script®
od hermescore
Kinetic Momentum & Capitulation Model (KMCM)🚀 KMCM Adaptive Regime Oscillator (KMCM) The KMCM (Kinetic Momentum & Capitulation Model) is a volatility-adaptive market regime oscillator designed to quantify directional energy imbalance by integrating price momentum, volume mass dynamics, and statistical energy dispersion into a single bounded regime signal. Rather than treating price as a simple time series, KMCM reconstructs market behavior as an energy system where movement intensity is jointly determined by velocity and participation. The core objective of KMCM is to detect regime transitions between momentum expansion, neutral equilibrium, and capitulation-driven stress phases. It does this by modeling market activity as a normalized kinetic system and transforming the resulting distribution into a bounded oscillator ranging approximately between -100 and +100. Unlike traditional momentum indicators that rely primarily on price derivatives (ROC, RSI, MACD), KMCM incorporates volume-adjusted mass and volatility-adaptive scaling. This allows the indicator to remain structurally stable across different volatility regimes and asset classes while preserving sensitivity to regime shifts. 💡 Key Features 🧠 Kinetic Market Model: KMCM interprets market behavior as a simplified physical system where price velocity represents momentum and volume represents mass. The resulting “energy” formulation captures the intensity of participation behind directional moves rather than price movement alone. 📊 Volume-Normalized Mass Scaling: Volume is normalized against its adaptive moving average to construct a relative participation metric. This ensures that abnormal volume expansions or contractions are properly reflected in regime intensity rather than absolute scale distortions. 🔬 Volatility-Adaptive Period Engine: All internal computation windows are dynamically adjusted using ATR-based volatility ratios. This prevents overfitting to fixed time horizons and ensures that the model self-adapts to changing market regimes. ⚡ Statistical Energy Transformation: Directional energy is derived from velocity-squared magnitude scaled by participation mass, then standardized using z-score normalization. This produces a statistically consistent representation of market stress and expansion phases. 🛡️ Nonlinear Compression Layer: A hyperbolic tangent transformation compresses raw statistical output into a bounded oscillator space. This preserves extreme regime information while preventing signal saturation during high volatility events. 📉 Dual-Threshold Regime Logic: Market conditions are classified into three primary states: * Expansion Regime (Above Upper Threshold): Strong directional imbalance and momentum continuation pressure * Neutral Regime (Between Thresholds): Balanced market structure and reduced directional conviction * Capitulation Regime (Below Lower Threshold): Stress-driven liquidation dynamics and downside exhaustion phases 🔬 Mathematical Logic and Structure KMCM is built on a multi-layer statistical energy framework that converts raw market microstructure into a normalized regime oscillator. The process begins by computing velocity as a rate of change over an ATR-adaptive window. This velocity is then combined with a volume-derived mass factor, which represents relative participation intensity compared to its historical baseline. A kinetic energy proxy is constructed by squaring velocity and scaling it with normalized mass. This formulation ensures that large directional moves with strong participation are weighted disproportionately higher than low-volume price fluctuations. To stabilize the signal, directional energy is standardized using a rolling mean and standard deviation, producing a z-score representation of market imbalance. This step transforms raw energy into a distribution-aware signal that is comparable across time and assets. The z-score output is then passed through a hyperbolic tangent function, compressing it into a bounded regime oscillator. This step ensures nonlinear saturation control while preserving structural extremes. Finally, exponential smoothing is applied to reduce microstructure noise, and slope filtering is used to eliminate short-term directional instability. This results in a stable regime oscillator that prioritizes structural shifts over transient fluctuations. In essence, KMCM does not attempt to predict price direction. It models the *intensity and structure of market participation* as a kinetic system and translates it into a unified regime framework of expansion, neutrality, and capitulation. 🛠️ How to Use 1. Expansion Regime (Above Upper Threshold): Indicates strong directional momentum supported by elevated participation. Trend continuation strategies and breakout positioning are statistically favored. 2. Capitulation Regime (Below Lower Threshold): Represents forced liquidation, panic-driven behavior, or exhaustion of selling pressure. Reversal or mean reversion structures become more relevant. 3. Neutral Regime (Between Thresholds): Signals equilibrium conditions where directional conviction is weak. Range-based strategies or reduced exposure conditions are more appropriate. 🎛️ Settings * Minimum Velocity Period (7–21): Controls sensitivity of momentum detection * Volume Period (30–150): Defines adaptive participation baseline * Upper Threshold (30): Expansion boundary for regime classification * Lower Threshold (-30): Capitulation boundary for regime classification * Smoothing Length (7 EMA): Stabilization layer for signal refinement 📌 Credits and Origins KMCM is engineered by @gunebak4n as a volatility-adaptive kinetic regime framework designed to unify momentum, volume, and statistical dispersion into a single structural oscillator. The model is intended for regime-based analysis rather than directional prediction, emphasizing structural transitions over raw price movement. The design prioritizes robustness across volatility regimes, making it suitable for discretionary traders, quantitative researchers, and systematic strategy development workflows focused on regime awareness. ⚠️ Disclaimer All outputs generated by KMCM are probabilistic and non-deterministic. This indicator does not predict future price direction or guarantee outcomes. It is a structural market analysis tool intended to support decision-making under uncertainty. Proper risk management is required at all times.
Wskaźnik Pine Script®
od gunebak4n
Quantum Imbalance Trap [MarkitTick]💡 This advanced analytical tool is a comprehensive market structure and momentum suite designed to identify high-probability institutional-style footprints through structural price imbalances, relative volume anomalies, and dynamic volatility tracking. By integrating a sophisticated multi-layered filtering engine, it provides traders with a complete visual and statistical ecosystem, featuring dynamic risk-to-reward mapping, session-specific filters, advanced RSI divergence checks, and automated JSON webhook alerts for seamless algorithmic integration. ✨ Originality and Utility What sets this tool apart from conventional momentum oscillators is its holistic, data-driven approach to signal validation. It does not merely detect large candles; it synthesizes the candlestick's body-to-range ratio, compares localized volume to a historical moving average, and optionally requires structural liquidity sweeps and RSI divergences before flagging an event. Furthermore, the inclusion of fully formatted, localized JSON alerts containing precise targets and confidence scores makes this indicator highly utilitarian for traders utilizing automated execution bots. The real-time, non-invasive dashboard completely eliminates the need for manual risk-to-reward drawing tools, drastically reducing cognitive load. 🔬 Methodology and Concepts The core engine operates on a strict, multi-variable confluence matrix: Imbalance & Volume Detection: Evaluates the specific relationship between a candle's real body and its total range (high-to-low). A signal triggers only if this ratio exceeds a user-defined threshold simultaneously with a volume surge that breaches a defined multiplier of the historical volume SMA. Momentum & Trend Alignment: Utilizes a fast versus slow Simple Moving Average crossover to dictate the immediate micro-trend, ensuring signals fire in the direction of the active order flow. RSI Divergence: An optional mechanical filter that compares recent price action against a 14-period RSI to locate classic bullish or bearish divergences, adding a layer of exhaustion-reversal logic. Liquidity Sweeps: Analyzes recent price nodes to determine if local swing highs or lows were structurally breached (swept) prior to the imbalance, indicating potential trap mechanics. MTF Validation: Safely references a non-repainting higher timeframe (HTF) 20-period SMA. It dynamically penalizes the mathematical "Confidence Score" if the micro-signal contradicts the macro trend. 🎨 Visual Guide • Chart Elements Entry Zone Boxes: Semi-transparent cyan boxes indicating the optimal dynamic re-entry area based on a 0.35x ATR modifier. Signal Labels: Upward (cyan) or downward (orange) triangles marking the exact trigger candle with localized text. Risk-to-Reward Lines: Solid colored lines for the Entry point, dashed deep pink lines for the Stop Loss (SL), and dotted lines for Take Profit (TP) levels 1, 2, and 3. Price Labels: Text annotations extending rightward from the action, detailing the exact price coordinate and R-multiple for each respective TP level. • On-Chart Dashboard Positioned in the top-right corner with a sleek, dark-themed background and custom-colored text mappings. Row-by-Row Metrics: Displays the asset ticker, localized Micro Trend, HTF Macro Trend, Imbalance Percentage, Volume Spike Percentage, and an aggregated Confidence Score using active visual block meters (█/░). Live Tracking: Monitors the active trade state (Long/Short/Idle), current ATR value, dynamically tracked Entry/SL/TP prices, and a live tracking of the floating Risk-to-Reward (R) metric. 📖 How to Use Wait for a definitive signal label to plot on the chart, confirming that the baseline imbalance, volume, and enabled filters have aligned. Consult the on-chart dashboard to review the "Confidence Score." A higher percentage (closer to 100%), supported by solid block meters and HTF alignment, indicates a structurally superior setup. Utilize the automatically generated Entry, Stop Loss, and TP lines to establish risk parameters before executing a position. The shaded zone box identifies an optimal area to scale in. For algorithmic setups, configure your external bot to parse the automated JSON alert strings to execute trades completely hands-free based on the indicator's defined R-multiples. ⚙️ Inputs and Settings Every aspect of the logic and visual output is fully customizable through categorized input groups: • Signal Detection Imbalance Lookback (Bars): Dictates the lookback window for volume averages, momentum SMAs, and localized swing structures. ATR Period: The lookback length for the Average True Range calculation, governing dynamic SL distances. Body-to-Range Threshold: The minimum percentage the solid candle body must occupy relative to its entire wick-to-wick range. Volume Spike Multiplier: The exact threshold multiplier by which current volume must exceed the volume SMA. RSI Divergence Confirmation: A toggle to mandate an active RSI divergence for signal validation. • Smart Money Concepts Require Liquidity Sweep: When toggled, the engine mandates a structural sweep of the recent highest high or lowest low before plotting a signal. • Order Flow Higher Timeframe Alignment: Mandates that the localized signal matches the structural bias of a higher timeframe. Higher Timeframe: A dropdown selection to dictate the exact MTF resolution referenced (e.g., 60 minutes). Dynamic Re-entry Zone: Toggles the persistent forward extension of the Entry Zone boxes for continued visual reference. • Risk Management Stop Loss ATR Multiplier: Defines the precise mathematical distance of the stop loss line, scaling automatically with asset volatility. Take Profit 1, 2, and 3 (R-Multiple): Exact floating-point settings to define the distances of targets based strictly on Risk-Reward multiples. • Alerts & Sessions Bullish / Bearish Signal Alert: Toggles for activating the fully structured JSON alert webhooks. Enable Session Filter: Activates strict time-based operational windows. London / New York Open: Specific boolean toggles to restrict signal detection exclusively to the London (07:00–10:30 UTC) and/or New York (12:30–15:00 UTC) trading sessions. • Dashboard & Visual Style Show Entry Zone / Show Price Labels: Toggles to hide or display specific on-chart visual elements to manage chart clutter. Background / Text Colors: Dedicated color pickers for the dashboard table aesthetics. Bullish / Bearish / Target Colors: Complete hex/RGB customization for trend alignments, signal labels, and every dynamically drawn Risk-to-Reward line. 🔍 Deconstruction of the Underlying Scientific and Academic Framework The algorithmic foundation of this indicator heavily relies on volume-weighted price kinematics and statistical normalization. By isolating the body-to-range differential, the code mathematically abstracts the concept of aggressive, one-sided market participation, filtering out symmetric volatility (dojis) in favor of asymmetric momentum. The integration of relative volume acts as an independent confirming variable, a critical tenet in auction market theory, which postulates that true price discovery requires heavy transactional density. The "Confidence Score" utilizes a multivariate linear normalization technique. It aggregates disparate data arrays—imbalance depth, volume intensity, and momentum velocity—into a bounded 0-100 percentage scale. Crucially, it applies a deterministic penalty if the micro-trend contradicts the macro-trend, rooted in the fractal nature of time-series analysis where higher-degree trends exhibit stronger gravitational pull on price action. Finally, the risk mechanics are anchored in dynamic expectancy models; by utilizing the Average True Range (ATR) multiplied by user-defined R-variables, the script ensures that standard deviation and local variance are constantly factored into target projection, honoring the mathematical realities of market heteroskedasticity. ⚠️ 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. We 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.
Wskaźnik Pine Script®
od MarkitTick
Squeeze Momentum + ADX MemoThis indicator is a comprehensive technical analysis tool that combines the volatility detection of the Squeeze Momentum with the trend strength of the ADX (Average Directional Index). It is optimized to provide a clear reading of price action across multiple timeframes. Unlike standard oscillators, this customized version by Memo integrates a dynamic Multi-Timeframe (MTF) info panel and a visual scaling system, allowing you to monitor strength and momentum in a single pane without cluttering your price chart. 🛠 KEY FEATURES Squeeze Momentum: Identifies compression phases (red dots) and volatility breakouts (green dots). Dynamic ADX: ADX and DI+/DI- lines are proportionally scaled to the histogram for intuitive visualization. Multi-Timeframe Analysis (MTF): A dedicated dashboard shows trend strength and direction (EMA 200) for both the current chart and a higher timeframe (e.g., 1D). Divergence Detector: Automatically identifies Bullish and Bearish divergences (BULL/BEAR DIV). Signal Labels: LONG and SHORT markers triggered when trend strength is confirmed. 📘 DETAILED USER GUIDE 1. Understanding the Elements Histogram: Cyan/Blue (Bullish), Red/Maroon (Bearish). Center Dots: Red dots indicate the market is "squeezing" (price compression/accumulation). Green dots indicate the squeeze has released and a trend is underway. White Line (ADX): Above the Critical Level (23) indicates a strong trend. Below 23 suggests a range-bound or "choppy" market. 2. Trading Strategy (High Probability Setup) LONG Entry (Buy): Squeeze: Red dots must be present (accumulation phase). Shift: Histogram starts moving up or changes to recovery colors. Strength: The ADX (white line) crosses above the critical level (23). Confirmation: DI+ (green) must be above DI- (red). Macro Filter: The dashboard must show a BULLISH trend on the Higher Timeframe. SHORT Entry (Sell): Squeeze: Red dots must be present. Shift: Histogram starts dropping with increasing momentum. Strength: The ADX crosses above the critical level (strength is gaining on the downside). Confirmation: DI- (red) must be above DI+ (green). Macro Filter: The dashboard must show a BEARISH trend on the Higher Timeframe. 3. Divergences & Exits Use the BULL DIV and BEAR DIV labels as warning signals. A divergence against your current position is a clear sign to take profits or tighten your Stop Loss. 4. Info Panel (Dashboard) ADX Metric: If both timeframes (Current and Higher) are green, the probability of a successful trend trade increases significantly. Trend: Based on the 200 EMA. Memo's Golden Rule: Avoid trading against the higher timeframe trend to stay away from "fakeouts."
Wskaźnik Pine Script®
od glicia007
Sin RSI Footprint■ Overview The Sin RSI Footprint【ALT_analyst】 indicator brings the concept of footprint charting to momentum oscillators. Instead of mapping trading volume at price levels, this script peers inside the current higher-timeframe candle to map the internal momentum using Lower Timeframe (LTF) RSI data. By visualizing exactly where and how momentum was distributed within a single bar, traders can identify hidden exhaustion, hidden accumulation/distribution, and intra-bar divergences that are invisible on standard charts. ■ Core Modes & How It Works The script utilizes request.security_lower_tf to fetch an array of LTF RSI and Close prices for the duration of the current chart's bar. It then processes this data in one of two distinct visualization modes: 1. Matrix Mode (Traditional Price Level) This mode acts like a traditional footprint or volume profile, but for RSI. ■ The Calculation The script divides the high-to-low range of the current candle into user-defined bins (e.g., 10 rows). It calculates the step size: step = (high - low) / Matrix Rows For each LTF data point, it determines the correct row using: math.floor((close - low) / step) Why this calculation is used To map momentum to specific price levels, allowing you to see if buyers or sellers were exhibiting strong momentum at the extremes or the middle of the candle. Actual Output Values The script outputs an averaged RSI value (ranging from 0.00 to 100.00) for each specific price row. The boxes are colored based on this average (0-9 for extreme oversold, 90-100 for extreme overbought). 2. Stack Mode (Vertical Momentum) This mode stacks LTF RSI prints vertically above or below the candle based on a baseline threshold. ■ The Calculation By default, if the LTF RSI is > 50, it is categorized as bullish and stacked above the candle's high. If <= 50, it is stacked below the candle's low. The height of each box is calculated dynamically using: box_height = ATR * Box Height Multiplier Why this calculation is used Separating prints above and below the candle isolates bullish vs. bearish momentum bursts. Using ATR for box height ensures the boxes remain visually proportionate across different assets and timeframes regardless of absolute price volatility. Actual Output Values The output generates box coordinates (Top, Bottom, Left, Right) relative to the chart's price scale. The text inside represents the exact LTF RSI value at that sequence point (e.g., 72, 34). ■ Key Features Noise Filter (Hide Range): Clean up the chart by hiding neutral RSI values (e.g., hiding everything between 40 and 60). This leaves only the significant momentum extremes visible. Highlight & Enlarge: Automatically expand the width and height of boxes that contain extreme RSI readings (e.g., > 80 or < 20) to instantly draw your eye to critical exhaustion points. Compression Logic: Consecutive LTF RSI prints that fall into the same color tier and threshold are grouped into a single, taller block to prevent chart clutter. Custom Color Themes: Choose from Normal, Aurora, Rainbow, or Monochrome to suit your chart background. Rendering Modes: Includes a Real-time mode for live trading and an "Ultra-Light" Historical Camera Track mode to efficiently review past data without exceeding Pine Script's drawing limits. ■ How to Use 1. Spotting Reversals (Matrix Mode) Look for deep red (overbought) RSI footprints concentrated at the very top of a bullish candle. If the next candle fails to break that high, it suggests momentum exhaustion at resistance. 2. Confirming Breakouts (Stack Mode) When price breaks a key level, look at the Stack Mode. A large stack of green/blue boxes above the candle confirms sustained LTF bullish momentum driving the move, rather than a single anomalous tick. 3. Filtering Noise Set the "Hide Range" to 35-65. The indicator will now only display footprint boxes when the LTF RSI reaches true overbought/oversold extremes, making it highly effective for identifying turning points. ■ Developer's Note As a fundamental characteristic of the RSI, momentum patterns observed on higher timeframes tend to carry greater reliability due to the natural reduction of market noise. To capture the purest momentum shifts, it is recommended to begin your analysis on larger timeframes. Disclaimer: This script maps mathematical momentum and does not guarantee future price movements. It is best used in conjunction with price action and broader market context.
Wskaźnik Pine Script®
od ALT_analyst
Stockbee Signals DashboardStockbee Signals Stockbee Signals combines three key Stockbee-style indicators into a single visual dashboard: TI65 – Trend strength based on short-term vs. long-term moving averages. MDT – Price position relative to the 126-day moving average. M20 – Momentum breakout/breakdown signal based on 30-day price action. The indicator displays each signal as a color-coded bar and provides an alert when all three signals are bullish. Signal Colors 🟢 Green = Bullish ⚪ Gray = Neutral 🔴 Red = Bearish Indicator Components TI65 Measures the ratio of the 7-day moving average to the 65-day moving average. Interpretation: Green: TI65 > 1.05 Gray: TI65 between 0.95 and 1.05 Red: TI65 < 0.95 A green TI65 indicates a strong uptrend. MDT Measures the stock price relative to its 126-day moving average. Interpretation: Green: MDT > 1.10 Gray: MDT between 0.90 and 1.10 Red: MDT < 0.90 A green MDT indicates the stock is trading significantly above its longer-term trend. M20 Identifies significant momentum moves over the previous 30 trading days. Bullish M20 (Green): Price is at least 20% above the 30-day low, or Price has risen at least $20 from the 30-day low Minimum volume requirement is met Bearish M20 (Red): Price is at least 20% below the 30-day high, or Price has fallen at least $20 from the 30-day high Minimum volume requirement is met Neutral (Gray): Neither bullish nor bearish conditions are met Triple Green Signal A Triple Green Signal occurs when: TI65 is Green MDT is Green M20 is Green When all three conditions are met, the indicator triggers the alert: “Stockbee Signal => GREEN” This represents alignment across trend, relative strength, and momentum. These values can be used in TradingView Pine Screener (Add as favorite to use that way). This combination identifies stocks showing strong trend, relative strength, and momentum characteristics. I personally use it as an overlay indicator in the lower pane behind another indicator which shows only when I bring mouse-over. When all three continues to be green helps me make decision on holding the stocks longer as the overall trend is intact and maximize returns. Disclaimer: This script is not validated or endrosed by Stockbee and solely based on interpretation of different videos I watched. If anyone sees the logic being inaccurate, please suggest. This tool is intended for scanning, watchlist building, and identifying stocks that may deserve further research. This indicator is for educational and research purposes only. It is not financial advice. Always perform your own analysis and risk management before making trading decisions.
Wskaźnik Pine Script®
od TXInvestor
Stoch RSI - (Crossover Visual Upgrade)Stochastic RSI (Crossover Visual Upgrade) - Enhanced Momentum Indicator This script is an optimized version of the standard Stochastic RSI. While maintaining the familiar logic of the original indicator, I have introduced a dynamic color-coding system for the K-line to help traders instantly identify momentum shifts and crossovers. Why this version is useful: In fast-paced markets, distinguishing between bullish and bearish momentum on a standard Stochastic RSI can be difficult. This version simplifies the process by automatically changing the color of the Fast K-line: Blue: Indicates the Fast line (K) is above the Slow line (D), signaling potential bullish momentum. Red: Indicates the Fast line (K) is below the Slow line (D), signaling potential bearish momentum. This visual upgrade helps reduce eye strain and allows you to make quicker trading decisions without needing to closely track line overlaps. Key Features: Dynamic Color-Coding: Real-time color updates for the K-line based on its position relative to the D-line. Clean Visuals: Retains the classic bands and structure while improving readability for day trading. Lightweight & Efficient: Optimized for performance so it won't clutter your chart. How to use: Simply add the indicator to your chart. The Fast K-line will change color dynamically as it crosses the Slow D-line, giving you an immediate visual confirmation of the current momentum direction. Author's Note: I created this visual upgrade because I prefer a cleaner look when monitoring stochastic crossovers during fast trades. I wanted to remove the guesswork when glancing at the indicator. Since I found it very helpful for my own setup, I decided to share it with the community. Big thanks to Gemini for helping me craft this description. I hope you find this useful!
Wskaźnik Pine Script®
od qxjrtn4xq5
TDI - (Crossover Visual Upgrade)TDI - (Crossover Visual Upgrade) - Enhanced Momentum Tracking This script is an optimized version of the classic Traders Dynamic Index (TDI). While keeping the original calculation logic, I have introduced visual enhancements and alert features to help traders react faster to market momentum changes. Why this version is useful: The original TDI can sometimes be difficult to read during fast-moving markets. This version features a dynamic RSI line that changes color based on its position relative to the Bollinger Band midline. This allows traders to instantly spot trend reversals and crossovers without needing to squint at the screen. Key Features: Dynamic Color-Coding: The Fast MA line automatically shifts color when crossing the Bollinger Band midline, providing an immediate visual cue for potential entry or exit points. Smart Alert System: Integrated alerts for bullish and bearish crossovers, ensuring you never miss a critical setup. On-Chart Labeling: Option to display crossover labels directly on the main chart for better price-action context (with customizable settings). Configurable Limits: Adjustable label history to keep your chart clean. How to use: Add the indicator to your chart. The RSI line will turn green when above the midline and red when below, signaling the immediate momentum bias. Configure alerts via the standard TradingView "Alert" menu by selecting the crossover conditions. Credits: This script is based on the original Traders Dynamic Index logic by LazyBear. Author's Note: I developed this version of the TDI to improve visual clarity because I personally trade at a fast pace. I wanted to eliminate the need to spend extra time and mental energy double-checking whether the RSI has crossed the Bollinger Band midline. Since I built this for my own workflow, I decided to share it with the community in case others are facing the same issue. Big thanks to Gemini for helping me craft this description. I hope you find this indicator useful for your trading!
Wskaźnik Pine Script®
od qxjrtn4xq5
BB + MACD v6.1.5 (Qing Smart Distribution)Strategy Summary: Qing BB + MACD v6.1.5 (Smart Distribution) Concept A long‑only momentum strategy that catches confirmed breakouts (Bollinger Basis + MACD) and actively manages exits by detecting distribution, trend exhaustion, or blow‑off tops. The goal is to ride the middle part of a trend while exiting before a major reversal. 📈 Entry – “ECU Confirming Solid Rise” Conditions (all required): Price breakout – close crosses above the 20‑period SMA (Bollinger Basis) or MACD line crosses above signal line while price is already above the Basis and histogram > 0. Solid momentum – MACD histogram is positive and rising (higher than previous bar). Volume confirmation – current volume ≥ 20‑period average (optional but enabled by default). Bullish candle – close > open. Why: Only enter when momentum is actively accelerating – not on weak or fading bounces. 📉 Exits – Three Independent Stop/Target Mechanisms Exit Type Condition When triggered Smart Distribution Price touched or approached upper BB within last 3 bars + MACD histogram shrinking for 2 consecutive bars + red candle & no new high Exits near potential tops where smart money may be distributing Hard Trend End close < (Basis – ATR(14)×0.5) and red candle Breaks trend support – ATR‑based safety net Blow‑off Top close > upper BB and MACD line > 0 and MACD line > signal line × 2.5 Captures extreme parabolic moves (exits early, avoids deep retrace) ⚠️ The strategy exits completely when any of the three conditions becomes true. 🎛️ User Inputs (adjustable) Bollinger Bands: length 20, multiplier 2.0 MACD: (6, 12, 8) Exit ATR buffer: 0.5 (hard trend end sensitivity) Volume filter: on/off 🧠 Key Insight Most breakout strategies buy the break and hold until a trailing stop is hit. This script instead watches how the market behaves near resistance (upper BB, stalling candles, shrinking histogram). It treats those as early warnings that the trend is losing internal strength – even if price hasn’t reversed yet.
Strategia Pine Script®
od Z8830
MACD Mean Reversion ShadingMACD Mean Reversion Shading This indicator is a visual MACD tool designed to make MACD/signal-line momentum shifts easier to read at a glance. Unlike a standard MACD display that only plots the MACD line, signal line, and histogram, this version emphasizes the relationship between the MACD and signal line by coloring the MACD line, plotting optional crossover dots, and shading the space between the MACD and signal line. The purpose is to help traders quickly identify potential mean-reversion momentum turns after extended moves, especially when MACD begins crossing back toward the signal line. How it works The indicator calculates MACD using customizable EMA lengths. The default settings are: Fast EMA: 8 Slow EMA: 21 Signal EMA: 5 These faster settings are designed to be more responsive than the traditional 12/26/9 MACD. When the MACD line is above the signal line, the indicator colors the MACD line green and shades the area between the two lines green. When the MACD line is below the signal line, the MACD line turns red and the shaded area turns red. Optional dots mark MACD/signal-line crossovers: Green dot: MACD crosses above the signal line Red dot: MACD crosses below the signal line The histogram can be displayed using either two-color or four-color logic. The four-color mode distinguishes between rising/falling momentum above and below the zero line. Multi-timeframe option The script can calculate MACD using the current chart timeframe or an alternate user-selected timeframe. This allows traders to view higher- or lower-timeframe MACD behavior while staying on the current chart. How to use it This script is not intended to be a standalone buy/sell system. It is designed as a visual momentum and mean-reversion aid. Potential uses include: Spotting MACD/signal-line turns after extended directional moves Identifying when bearish momentum is weakening Identifying when bullish momentum is strengthening Comparing MACD momentum across different chart timeframes Using the shaded MACD/signal area as a quick visual trend/momentum filter A green shaded region suggests MACD is above its signal line. A red shaded region suggests MACD is below its signal line. Traders should combine this with price structure, support/resistance, trend, volume, and broader market context. Original contribution The main contribution of this script is its visual treatment of MACD/signal-line interaction: dynamic line coloring, shaded MACD/signal spread, crossover dots, four-color histogram behavior, and optional multi-timeframe calculation in one configurable tool.
Wskaźnik Pine Script®
od Retire_by_50
MACD + Timeframe DisplayHave you ever maximized your MACD pane to get a closer look at a crossover, only to realize the top toolbar disappeared and you forgot exactly which timeframe you were analyzing? This indicator solves that frustrating UI quirk. This script is a 1:1 replica of TradingView’s standard built-in MACD, but with one major quality-of-life upgrade: it features a dynamic, built-in display table in the top right corner of the indicator pane that continuously tracks your active chart timeframe. Because the text is drawn directly onto the indicator's canvas, it stays perfectly visible even when the pane is double-clicked and maximized. Key Features: Classic MACD Math: Uses the exact same calculations, inputs, and histogram color schemes as the default TradingView MACD. Your signals and familiar aesthetics remain completely unchanged. Smart Timeframe Formatting: Automatically detects your active timeframe and converts raw minutes into a clean, human-readable format. Instead of displaying "60" or "240", it dynamically formats the text to "1H", "4H", "15m", "1D", etc. Unobtrusive UI: The timeframe is displayed in a clean, semi-transparent box in the top right corner of the pane, ensuring it doesn't block your view of the moving averages or histogram. How to use: Simply add it to your chart, replace your old MACD, and customize your moving average lengths just like you normally would. The timeframe display is entirely automatic!
Wskaźnik Pine Script®
od PratikKharat1990
McGinley Dynamic + LWPI ConfluenceWHAT IT DOES This overlay combines two complementary reads of the market into a single confluence framework: the McGinley Dynamic, an adaptive trend line that speeds up when price runs and slows down in quiet conditions, and the Larry Williams Proxy Index (LWPI), a volatility-scaled balance-of-power oscillator. A signal prints only when both engines agree: trend direction from the McGinley Dynamic, momentum confirmation from the LWPI. WHY COMBINE THEM Every fixed-length moving average lags by a constant amount, which makes it too slow in fast markets and too jumpy in slow ones. The McGinley Dynamic addresses that by scaling its own smoothing factor with the ratio of price to its previous value — but, like any trend line, it says nothing about who is actually in control of the move. The LWPI measures exactly that: the average open-to-close pressure normalized by ATR. On its own, however, the LWPI whipsaws inside strong trends. Each component covers the other's blind spot, which is the reason for the mashup: the McGinley Dynamic decides direction, the LWPI decides timing. HOW IT WORKS 1. Trend engine — McGinley Dynamic: MD = MD + (price - MD ) / max(k * N * (price / MD )^4, 1) The fourth-power ratio term automatically widens the divisor when price stretches away from the line, reducing overshoot and whipsaw versus EMAs of comparable length. Price above the line = bullish regime (line plots green), below = bearish (red). 2. Momentum engine — LWPI: LWPI = 50 * SMA(open - close, N) / ATR(N) + 50 Readings below 50 mean closes are dominating opens relative to volatility (buyers in control); above 50, sellers are in control. Optional smoothing (SMA/EMA/WMA/RMA) is available for noisy symbols. 3. Confluence logic: - Long state: price above McGinley Dynamic AND LWPI below 50 - Short state: price below McGinley Dynamic AND LWPI above 50 A triangle prints on the first bar a state becomes active. The optional candle coloring shows the full extent of each state; the dashboard in the top-right corner summarizes trend, momentum and confluence at a glance. 4. ATR reference bands: Dotted bands at +/- ATR * multiplier around price provide volatility context, e.g. for evaluating whether a stop distance is realistic for the symbol and timeframe. They are informational and not part of the signal logic. HOW TO USE IT Works on any market and timeframe; it was designed with trending instruments in mind (crypto, FX majors, index futures). A simple workflow: read the regime from the line color, wait for the LWPI to hand momentum back to the trend side, and use the confluence triangle as your alert to start analyzing — not as an automatic entry. The three built-in alerts (long confluence, short confluence, trend flip) let you monitor multiple symbols without watching charts. SETTINGS All defaults are textbook values, not curve-fitted: McGinley length 14 with the standard 0.6 constant from the original formula, LWPI period 8, ATR 14 with a 2.0 multiplier. Every input is documented with tooltips. CREDITS The McGinley Dynamic concept belongs to John R. McGinley, CMT. The Larry Williams Proxy Index concept was popularized on TradingView by loxx, whose open-source work this script's momentum component builds on, with thanks. DISCLAIMER This is an educational tool for market analysis. It is not financial advice and no performance is implied or promised. Always do your own research.
Wskaźnik Pine Script®
od SfericaTrading
Adaptive Divergence Core [JOAT]Adaptive Divergence Core is an open-source Pine Script v6 oscillator that combines HMA-smoothed RSI behavior, adaptive percentile bands, confirmed divergence lines, and regime fills. It is designed to make oscillator extremes relative to the current chart sample instead of relying only on fixed overbought and oversold levels. The script is useful when standard oscillator thresholds are too rigid. A market can stay strong or weak for long periods. Adaptive Divergence Core recalculates upper and lower fields from recent oscillator distribution, then plots confirmed divergence only after both price and oscillator pivots are confirmed. Core Concepts 1. HMA-RSI Core The oscillator blends RSI on raw price, RSI on HMA-smoothed price, and an HMA-smoothed RSI value. It is centered around zero for easier bullish and bearish reading. hmaSource = ta.hma(src, hmaLen) rawRsi = ta.rsi(src, rsiLen) rsiOnHma = ta.rsi(hmaSource, rsiLen) smoothedRsi = ta.hma(rawRsi, smoothLen) core = (rsiOnHma * 0.58 + smoothedRsi * 0.42) - 50.0 2. Adaptive Percentile Bands The upper and lower bands are calculated from rolling percentiles of the oscillator. This lets the bands adapt to the recent distribution of momentum. upperRaw = ta.percentile_nearest_rank(core, percentileLength, upperPercentile) lowerRaw = ta.percentile_nearest_rank(core, percentileLength, lowerPercentile) 3. Extreme Fields Additional 95th and 5th percentile fields help show deeper oscillator stretch zones beyond the primary adaptive bands. 4. Confirmed Divergence Detection Bearish divergence requires price to form a higher confirmed pivot high while the oscillator forms a lower confirmed pivot high. Bullish divergence requires price to form a lower confirmed pivot low while the oscillator forms a higher confirmed pivot low. 5. Regime Fill The script fills the oscillator against zero and against its guide line, making positive and negative regimes easy to read without large markers. Features HMA-RSI oscillator: Blends raw RSI, RSI on HMA, and smoothed RSI Adaptive percentile bands: Upper and lower thresholds adjust to recent oscillator behavior Extreme bands: Additional outer fields for deeper stretch readings Confirmed divergence lines: Divergences plot only after price and oscillator pivots confirm Divergence labels: Small S Div and B Div labels are placed near confirmed divergence lines Divergence line cap: Old lines are deleted to respect object limits Optional candle tint: Can color chart candles from the oscillator pane setting Dashboard: Shows core value, bands, divergence counts, and current field Alerts: Divergence, band entry, and band release conditions Input Parameters Core: Source: Price source RSI Length: Base RSI period HMA Price Length: HMA source smoothing HMA RSI Smooth: Smoothing for the raw RSI component Adaptive Bands: Percentile Length: Lookback used for adaptive thresholds Upper Percentile: Upper adaptive threshold percentile Lower Percentile: Lower adaptive threshold percentile Divergence: Divergence Left Bars / Right Bars: Pivot confirmation settings Maximum Divergence Lines: Object cap for plotted divergence lines Divergence Labels: Shows or hides compact divergence labels Visuals: Tint Candles: Optional candle tint from the oscillator state Show Dashboard: Shows or hides the compact top-right pane dashboard Palette: Selects the local JOAT color preset How to Use This Indicator Step 1: Read the Core Relative to Zero Values above zero show positive oscillator regime. Values below zero show negative oscillator regime. Step 2: Use Adaptive Bands When core enters the upper or lower adaptive band, momentum is stretched relative to its recent sample. Step 3: Evaluate Divergence After Confirmation Divergence lines are delayed by pivot confirmation. This is intentional and avoids projecting unconfirmed pivots into the past. Indicator Limitations Divergences confirm late because pivots need right-side bars Adaptive bands depend on the selected lookback and can shift over time Divergence is context, not a complete trade plan During strong trends, oscillator stretch can persist for many bars Originality Statement Adaptive Divergence Core is original in its HMA-RSI blend, rolling percentile threshold system, confirmed pivot divergence logic, and compact dashboard. It uses public Pine v6 functions to build a distinct oscillator workflow. Disclaimer This script is provided for educational and informational use only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Oscillator divergences can fail or remain early for extended periods. Always use independent analysis and proper risk management. -Made with passion by jackofalltrades
Wskaźnik Pine Script®
od officialjackofalltrades