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Indikator dan strategi

Volume And ROC Surge DetectorSharing this indicator I made for myself. Volume and ROC are early indicators of long moves. When ROC + Volume happens together, it's BOOM. This indicator called, Volume + ROC Surge Detector is a real-time momentum alert indicator designed to spot early institutional activity and explosive price moves. It combines Volume Surge analysis with Price Rate of Change (ROC) to identify when price and participation align. The script monitors abnormal volume relative to a moving average and confirms direction using ROC strength. When both volume expansion and directional momentum occur together, it triggers high-confidence “Boom” signals for bullish or bearish moves. To avoid noise, the indicator includes state-based alert control, ensuring each signal fires only once per condition change and only in real-time, not on historical bars. Key Features 1. Detects bullish and bearish ROC momentum shifts 2. Identifies positive and negative volume anomalies 3. Flags combined Volume + ROC “Boom” events 4. Real-time alerts only (no repaint, no bar-close spam) 5. Duplicate alert prevention using internal state tracking 6. Clean on-chart visual markers for instant recognition. Disable visuals for cleaner chart. Best Use Cases: 1. Catching breakouts and breakdowns early 2. Spotting smart money participation 3. Momentum confirmation for trend, intraday, and swing trading 4. Works across stocks, crypto, and indices Alerts: 1. ROC Bullish Alert When it fires: Price Rate of Change (ROC) crosses above the positive ROC threshold Alert messages: 🟢 ROC Change Bullish → TICKER @ price What it means: Price momentum has turned strongly bullish. Early sign of upside acceleration 2. ROC Bearish Alert When it fires: Price ROC crosses below the negative ROC threshold Alert message: 🔴 ROC Change Bearish → TICKER @ price What it means: Price momentum has turned strongly bearish. Early sign of downside acceleration 3. Positive Volume Surge Alert When it fires: Current volume exceeds Average Volume × Volume Surge Multiplier Alert message: 📈 +Ve Vol Change → TICKER @ volume What it means: Unusual participation / smart money activity. Strength entering the move 4. Negative Volume Alert (Volume Dry-Up) When it fires: Current volume drops below Average Volume ÷ Volume Surge Multiplier Alert message: 📉 -Ve Vol Change → TICKER @ volume What it means: Participation is fading. Trend exhaustion or consolidation risk 5. Boom Bull Alert (High-Conviction Signal) When it fires: Both conditions occur together: Bullish ROC AND Volume Surge (high participation) Alert message: 💥 Boom Volume + ROC Bull → TICKER @ price What it means: Momentum + volume alignment. Strong breakout / continuation probability 6. Boom Bear Alert (High-Conviction Signal) When it fires: Both conditions occur together: Bearish ROC AND Volume Surge (high participation) Alert message: 💣 Boom Volume + ROC Bear → TICKER @ price What it means: Momentum + volume alignment to the downside. Strong breakdown / continuation probability This indicator is built for traders who want clarity, speed, and signal discipline—not lagging confirmations or noisy alerts.
Indikator Pine Script®
oleh arupnj2018
Trinity Multi-Timeframe CCITrinity Multi-Timeframe CCI Indicator This Pine Script indicator is a powerful **multi-timeframe Commodity Channel Index (MTF CCI)** tool that displays three CCI lines on a single pane: - **Current timeframe** (whatever chart you're viewing, e.g., 1h, 15m, etc.) - **4-hour timeframe** - **Daily timeframe** All three use the same CCI length (default 20, adjustable) and are fully customizable—you can enable/disable each line, change its timeframe, color, and thickness. Horizontal levels at 0 (dashed white by default), +100 (red), and -100 (green) are also included and fully editable. ### Core Functionality & Visual Signals The standout feature is the **dynamic coloring of the current timeframe CCI line**: - **Green**: Strong **bullish alignment**. This occurs when **all three CCIs are above the zero line** AND the current timeframe CCI is the **highest** of the three (leading the move upward with higher-timeframe confirmation). - **Red**: Strong **bearish alignment**. This occurs when **all three CCIs are below the zero line** AND the current timeframe CCI is the **lowest** of the three (leading the move downward with higher-timeframe confirmation). - **Yellow**: Neutral or no clear alignment (default state when the above conditions aren't met). An optional light background shading (green or red) highlights when the indicator is in a bullish or bearish state. Small triangle markers appear on the pane when a new bullish or bearish alignment forms, and built-in alerts notify you of new signals or when a signal ends. These are editable to enable or disable. ### How Traders Can Use It This indicator helps identify **high-probability trend continuations or reversals** by combining momentum (CCI) across multiple timeframes with alignment confirmation: - **Trend-following entries**: A green current line (especially with a fresh alert) suggests strong upward momentum backed by higher timeframes—ideal for long entries or adding to positions in an uptrend. - **Bearish entries/short setups**: A red current line signals strong downward momentum confirmed across timeframes—good for short entries or exiting longs. - **Confluence filter**: Use it as a filter for other strategies. Only take trades in the direction of the alignment (e.g., only long if current line is green). - **Early warning of weakness**: When the current line turns yellow after being green/red, it often signals the trend is losing multi-timeframe support—useful for tightening stops or taking partial profits. In essence, it visually answers the question: “Is the short-term momentum not only strong, but also aligned with and leading the medium- and long-term momentum?” When the answer is yes (green or red), it highlights moments of **multi-timeframe confluence**—some of the most reliable setups in technical trading. The alerts make it practical for active traders: you get notified the moment a strong aligned signal appears, without needing to watch the chart constantly. It's clean, highly customizable, and focuses on one clear concept—**multi-timeframe CCI leadership**—making it excellent for trend, swing, and even intraday traders looking for higher-timeframe confirmation.
Indikator Pine Script®
oleh EMA34TRADER
Long Short Trading System With TableSmart Trading System Pro is an advanced TradingView indicator designed for precision and clarity. It combines Order Blocks, Liquidity Zones, EMA trend alignment, MACD, RSI, Volume, and ATR-based risk management to generate high-quality LONG / SHORT signals. 🔹 Clear trade direction 🔹 Smart entry, stop-loss & multi-level take-profit 🔹 Automatic risk/reward & leverage calculation 🔹 Clean visual dashboard for fast decision-making Built for traders who value structure, confirmation, and risk control. Best suited for crypto, forex, and indices on all timeframes. Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results. You are solely responsible for your trading decisions and outcomes.
Indikator Pine Script®
oleh Albay16
Clock&Flow: Elements of Cycle Analysis 2nd partClock&Flow – Elements of Cycle Analysis (ECA) | Complete Suite Elements of Cycle Analysis (ECA) is an advanced cyclic analysis suite designed to interpret the market through time, structure, strength, and energy, combining cycles, volatility, and participation into a single operational framework. The suite consists of two complementary modules: 🔹ECA 1 – Cycles, Structure, and Volatility (Overlay: True) ECA 1 is dedicated to the structural and temporal analysis of the market. Cyclic SMAs (Cyclic Ratio) Moving averages are calibrated according to nominal cycles and timeframes to monitor multiple cycles simultaneously (from the lower cycle to the upper cycles). Crossovers between fast and slow SMAs certify the closing or transition of the cycle related to the faster SMA. The specific cycle is identified in the Info Table at the bottom right (for 15m - 1h - 2h - 1D timeframes). You can select the number of cycles to observe and the asset type to apply them to: Index: Standard quotes (e.g., Cash sessions). Future: Extended quotes (24h). 50-200: Classic institutional references for the medium-long term. ATR-based Dynamic Cyclic Channels The channels represent a lower cycle and its upper counterpart; their width is determined by the observed timeframe and calculated based on average volatility (ATR). Volatility is not treated as noise but as a structural component of the cycle, essential for contextualizing excesses, compressions, and expansions. Info Table and Quick Guide Dynamic tables automatically link SMAs, timeframes, and time cycles, providing an immediate reading of the current cyclic context. Time Bands (Weekly / Daily) Temporal visualization helps identify cyclic pivots and rhythm transitions. 🔹 ECA 2 – Market Excesses, Strength, and Energy ECA 2 analyzes how the market moves within the cyclic structure. Excesses and Divergences (Cyclic Stochastic) An oscillator calibrated on the same cyclic ratio as the suite. Crossovers between the lower cycle (blue) and upper cycle (red) signal potential phase changes. In areas of excess, divergences often confirm the closing and restart of a cycle. Directional Movement System (DMS) The ADX measures the strength of the movement, while +DI and -DI indicate direction. A simultaneous crossover of ADX, +DI, and -DI signals imminent acceleration, even before the strength is fully expressed. Market Pulse – Real Market Energy The Market Pulse measures the amount of real energy moving through the market by relating three factors: Price Velocity Normalized Volume Volatility (ATR relative to price) These three factors are combined multiplicatively: if one is missing, the impulse weakens. The zero line represents a state of energy equilibrium; values above or below indicate a real imbalance (bullish or bearish). Note: Market Pulse is not a classic oscillator and should not be interpreted as overbought or oversold; it is used to evaluate the energetic quality of a movement. Operational Convergence The maximum operational effectiveness of the ECA suite is achieved when all modules converge on the same market phase. When cyclic timing, volatility, price structure, trend strength, and movement energy align, the context signals a high-probability operational phase. The system is applicable to any timeframe or asset because it is not bound by dogmatic or subjective interpretations of technical or fundamental analysis; instead, it leverages what is actually happening in the market. Major chart patterns and Volume Profile (technically not includable in this specific suite) provide further confirmation. Under these conditions, the signal does not originate from a single indicator but from the consistency of the entire system: time, volatility, and energy moving in the same direction. Entries should always be accompanied by proper risk management. –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Clock&Flow – Elements of Cycle Analysis (ECA) | Suite Completa Elements of Cycle Analysis (ECA) è una suite avanzata di analisi ciclica progettata per leggere il mercato attraverso tempo, struttura, forza ed energia, combinando cicli, volatilità e partecipazione in un unico framework operativo. La suite è composta da due moduli complementari: 🔹 ECA 1 – Cicli, Struttura e Volatilità (overlay true) ECA 1 è dedicato all’analisi strutturale e temporale del mercato. SMA cicliche (ratio ciclica) Le medie mobili sono calibrate in funzione dei cicli nominali e del timeframe per monitorare più cicli simultaneamente (dal ciclo inferiore fino ai cicli superiori). Gli incroci tra SMA veloci e lente certificano la chiusura o transizione del ciclo correlato alla SMA più veloce. Il ciclo in questione è segnalato nella info table in basso a destra (per i time frame 15’ - 1h - 2h - 1D) Puoi selezionare il numero dei cicli da osservare e su quali asset applicarle (Index = quotazioni standard / Future = quotazioni estese / 50-200 i classici riferimenti istituzionali per il medio-lungo periodo Canali ciclici dinamici basati su ATR I canali rappresentano un ciclo inferiore e il suo superiore, l’ampiezza è data dal time frame osservato e calcolata sulla volatilità media (ATR). La volatilità non è trattata come rumore, ma come componente strutturale del ciclo, utile per contestualizzare eccessi, compressioni ed espansioni. Info Table e Quick Guide Tabelle dinamiche collegano automaticamente SMA, timeframe e cicli temporali, fornendo una lettura immediata del contesto ciclico in corso. Time Bands (Weekly / Daily) La visualizzazione temporale aiuta a individuare pivot ciclici e transizioni di ritmo. –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– 🔹 ECA 2 – Eccessi, Forza ed Energia del Mercato ECA 2 analizza come il mercato si muove all’interno della struttura ciclica. Eccessi e divergenze (Stochastic ciclico) Oscillatore calibrato sulla stessa ratio ciclica della suite. Gli incroci tra ciclo inferiore (blu) e superiore (rosso) segnalano potenziali cambi di fase; in area di eccesso, le divergenze certificano spesso la chiusura e ripartenza del ciclo. Directional Movement System (DMS) L’ADX misura la forza del movimento, mentre +DI e –DI ne indicano la direzione. L’incrocio simultaneo di ADX, +DI e –DI segnala un’accelerazione imminente, anche in assenza di forza già espressa. Market Pulse – Energia reale del mercato Il Market Pulse misura quanta energia reale sta attraversando il mercato mettendo in relazione: velocità del prezzo volume normalizzato volatilità (ATR rapportato al prezzo) I tre fattori sono combinati in modo moltiplicativo: se uno manca, l’impulso si indebolisce. La linea dello zero rappresenta una condizione di equilibrio energetico; valori sopra o sotto indicano uno sbilanciamento reale, rialzista o ribassista. Il Market Pulse non è un oscillatore classico e non va interpretato in termini di ipercomprato o ipervenduto: serve a valutare la qualità energetica del movimento. La massima efficacia operativa della suite ECA si ottiene quando tutti i moduli convergono sulla stessa fase di mercato. Quando tempi ciclici, volatilità, struttura del prezzo, forza del trend ed energia del movimento risultano allineati, il contesto segnala una fase ad alta probabilità operativa. È applicabile su qualunque time frame o asset perché non è vincolato a dogmatiche e soggettive interpretazioni di analisi tecnica - fondamentale ma sfrutta ciò che realmente sta accadendo sul mercato. I principali pattern grafici e il Volume Profile (in questa suite tecnicamente non inseribili) forniscono ulteriori conferme e/o indicazioni. In queste condizioni il segnale non nasce da un singolo indicatore, ma dalla coerenza dell’intero sistema: tempo, volatilità ed energia si muovono nella stessa direzione. Gli ingressi vanno sempre accompagnati da una corretta gestione del rischio.
Indikator Pine Script®
oleh JoMerende
Clock&Flow: Elements of Cycle Analysis 1st partClock&Flow – Elements of Cycle Analysis (ECA) | Complete Suite Elements of Cycle Analysis (ECA) is an advanced cyclic analysis suite designed to interpret the market through time, structure, strength, and energy, combining cycles, volatility, and participation into a single operational framework. The suite consists of two complementary modules: 🔹 ECA 1 – Cycles, Structure, and Volatility (Overlay: True) ECA 1 is dedicated to the structural and temporal analysis of the market. Cyclic SMAs (Cyclic Ratio) Moving averages are calibrated according to nominal cycles and timeframes to monitor multiple cycles simultaneously (from the lower cycle to the upper cycles). Crossovers between fast and slow SMAs certify the closing or transition of the cycle related to the faster SMA. The specific cycle is identified in the Info Table at the bottom right (for 15m - 1h - 2h - 1D timeframes). You can select the number of cycles to observe and the asset type to apply them to: Index: Standard quotes (e.g., Cash sessions). Future: Extended quotes (24h). 50-200: Classic institutional references for the medium-long term. ATR-based Dynamic Cyclic Channels The channels represent a lower cycle and its upper counterpart; their width is determined by the observed timeframe and calculated based on average volatility (ATR). Volatility is not treated as noise but as a structural component of the cycle, essential for contextualizing excesses, compressions, and expansions. Info Table and Quick Guide Dynamic tables automatically link SMAs, timeframes, and time cycles, providing an immediate reading of the current cyclic context. Time Bands (Weekly / Daily) Temporal visualization helps identify cyclic pivots and rhythm transitions. 🔹 ECA 2 – Market Excesses, Strength, and Energy ECA 2 analyzes how the market moves within the cyclic structure. Excesses and Divergences (Cyclic Stochastic) An oscillator calibrated on the same cyclic ratio as the suite. Crossovers between the lower cycle (blue) and upper cycle (red) signal potential phase changes. In areas of excess, divergences often confirm the closing and restart of a cycle. Directional Movement System (DMS) The ADX measures the strength of the movement, while +DI and -DI indicate direction. A simultaneous crossover of ADX, +DI, and -DI signals imminent acceleration, even before the strength is fully expressed. Market Pulse – Real Market Energy The Market Pulse measures the amount of real energy moving through the market by relating three factors: Price Velocity Normalized Volume Volatility (ATR relative to price) These three factors are combined multiplicatively: if one is missing, the impulse weakens. The zero line represents a state of energy equilibrium; values above or below indicate a real imbalance (bullish or bearish). Note: Market Pulse is not a classic oscillator and should not be interpreted as overbought or oversold; it is used to evaluate the energetic quality of a movement. Operational Convergence The maximum operational effectiveness of the ECA suite is achieved when all modules converge on the same market phase. When cyclic timing, volatility, price structure, trend strength, and movement energy align, the context signals a high-probability operational phase. The system is applicable to any timeframe or asset because it is not bound by dogmatic or subjective interpretations of technical or fundamental analysis; instead, it leverages what is actually happening in the market. Major chart patterns and Volume Profile (technically not includable in this specific suite) provide further confirmation. Under these conditions, the signal does not originate from a single indicator but from the consistency of the entire system: time, volatility, and energy moving in the same direction. Entries should always be accompanied by proper risk management. –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Clock&Flow – Elements of Cycle Analysis (ECA) | Suite Completa Elements of Cycle Analysis (ECA) è una suite avanzata di analisi ciclica progettata per leggere il mercato attraverso tempo, struttura, forza ed energia, combinando cicli, volatilità e partecipazione in un unico framework operativo. La suite è composta da due moduli complementari: 🔹 ECA 1 – Cicli, Struttura e Volatilità (overlay true) ECA 1 è dedicato all’analisi strutturale e temporale del mercato. SMA cicliche (ratio ciclica) Le medie mobili sono calibrate in funzione dei cicli nominali e del timeframe per monitorare più cicli simultaneamente (dal ciclo inferiore fino ai cicli superiori). Gli incroci tra SMA veloci e lente certificano la chiusura o transizione del ciclo correlato alla SMA più veloce. Il ciclo in questione è segnalato nella info table in basso a destra (per i time frame 15’ - 1h - 2h - 1D) Puoi selezionare il numero dei cicli da osservare e su quali asset applicarle (Index = quotazioni standard / Future = quotazioni estese / 50-200 i classici riferimenti istituzionali per il medio-lungo periodo Canali ciclici dinamici basati su ATR I canali rappresentano un ciclo inferiore e il suo superiore, l’ampiezza è data dal time frame osservato e calcolata sulla volatilità media (ATR). La volatilità non è trattata come rumore, ma come componente strutturale del ciclo, utile per contestualizzare eccessi, compressioni ed espansioni. Info Table e Quick Guide Tabelle dinamiche collegano automaticamente SMA, timeframe e cicli temporali, fornendo una lettura immediata del contesto ciclico in corso. Time Bands (Weekly / Daily) La visualizzazione temporale aiuta a individuare pivot ciclici e transizioni di ritmo. –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– 🔹 ECA 2 – Eccessi, Forza ed Energia del Mercato ECA 2 analizza come il mercato si muove all’interno della struttura ciclica. Eccessi e divergenze (Stochastic ciclico) Oscillatore calibrato sulla stessa ratio ciclica della suite. Gli incroci tra ciclo inferiore (blu) e superiore (rosso) segnalano potenziali cambi di fase; in area di eccesso, le divergenze certificano spesso la chiusura e ripartenza del ciclo. Directional Movement System (DMS) L’ADX misura la forza del movimento, mentre +DI e –DI ne indicano la direzione. L’incrocio simultaneo di ADX, +DI e –DI segnala un’accelerazione imminente, anche in assenza di forza già espressa. Market Pulse – Energia reale del mercato Il Market Pulse misura quanta energia reale sta attraversando il mercato mettendo in relazione: velocità del prezzo volume normalizzato volatilità (ATR rapportato al prezzo) I tre fattori sono combinati in modo moltiplicativo: se uno manca, l’impulso si indebolisce. La linea dello zero rappresenta una condizione di equilibrio energetico; valori sopra o sotto indicano uno sbilanciamento reale, rialzista o ribassista. Il Market Pulse non è un oscillatore classico e non va interpretato in termini di ipercomprato o ipervenduto: serve a valutare la qualità energetica del movimento. La massima efficacia operativa della suite ECA si ottiene quando tutti i moduli convergono sulla stessa fase di mercato. Quando tempi ciclici, volatilità, struttura del prezzo, forza del trend ed energia del movimento risultano allineati, il contesto segnala una fase ad alta probabilità operativa. È applicabile su qualunque time frame o asset perché non è vincolato a dogmatiche e soggettive interpretazioni di analisi tecnica - fondamentale ma sfrutta ciò che realmente sta accadendo sul mercato. I principali pattern grafici e il Volume Profile (in questa suite tecnicamente non inseribili) forniscono ulteriori conferme e/o indicazioni. In queste condizioni il segnale non nasce da un singolo indicatore, ma dalla coerenza dell’intero sistema: tempo, volatilità ed energia si muovono nella stessa direzione. Gli ingressi vanno sempre accompagnati da una corretta gestione del rischio.
Indikator Pine Script®
oleh JoMerende
Xbirch_Turtle_ Crypto_CalcМодернизированная стратегия Черепах. Вход/выход по каналу Дончиана, стопы по величине ATR, возможность выбора лонг/шорт/всё. Имеется пирамидинг - добавление по +0,5ATR от первого бая, не более 4х входов. Модернизированный стоп - по ATR от первого бая. Не финансовый совет. A modernized Turtle strategy. Entry/exit based on the Donchian Channel, stops based on the ATR value, and the ability to choose long/short/all options. Pyramiding is available – adding +0.5 ATR from the first buy, with a maximum of four entries. The modernized stop is based on the ATR value from the first buy. This is not financial advice.
Strategi Pine Script®
oleh Xbirch
RSI Divergence Indicator (Fixed RSI Color + MTF Table)This script combines a classic RSI divergence indicator with a multi–timeframe RSI dashboard. Main features: Detects and plots: Regular bullish & bearish RSI divergence Hidden bullish & hidden bearish RSI divergence Dynamic RSI line color: Green in strong bullish zone Red in strong bearish zone Yellow in neutral zone Standard RSI levels: 70 / 30 overbought–oversold 50 midline with highlighted band MTF RSI table: Compact RSI dashboard on the right side of the chart Timeframes: 1m, 5m, 15m, 30m, 1h, 4h, 8h, 12h, 1D (each can be turned on/off) Background color highlights extreme RSI: Red / orange for overbought Lime for oversold This tool is designed to help traders quickly see divergence signals on the current chart while also monitoring RSI conditions across multiple timeframes in one place.
Indikator Pine Script®
oleh xmochi1
Participation-Weighted Orderflow Bubbles (HTF / LTF Context ToolThis indicator visualizes participation-weighted market pressure by aggregating lower-timeframe price and volume data into higher-timeframe context bubbles. It is designed to help identify directional dominance, balance, and absorption across timeframes. This is a context and bias tool, not a trade signal generator. What the indicator shows Each bubble represents a single chart bar, built from lower-timeframe candles. Total Notional Aggregated volume multiplied by price from lower-timeframe candles. Buy / Sell Proxies Lower-timeframe candles are classified based on where they close within their range: – Close near the high → buy-side proxy – Close near the low → sell-side proxy – Middle of the range → neutral Delta (USD and %) Buy proxy notional minus sell proxy notional, expressed as both absolute USD delta and percentage of total notional. Bubble colors Green Buy-side participation dominance. Sell color (user configurable) Sell-side participation dominance. The default is chosen for visibility on bearish candles and can be changed in settings. Grey Balanced participation. Indicates two-way trade, consolidation, or auction. Yellow (Absorption) High notional with limited price movement, suggesting potential absorption or distribution. Coloring uses both relative dominance (delta percentage) and absolute dominance (minimum delta in USD), which improves behavior on higher timeframes. Bubble size and visuals Bubble size scales with total notional. HD glow layers adapt automatically by timeframe. Bubbles are drawn in front of candles for clarity. Optional text displays delta and total notional. Hovering over a bubble shows detailed information including total notional, buy/sell/neutral proxies, delta values, absorption status, and the number of lower-timeframe candles used. Timeframe behavior The indicator is designed to work across multiple timeframes. On higher timeframes, more grey bubbles are expected due to natural auction and balance behavior. Colored bubbles on higher timeframes represent sustained participation rather than short-term momentum. Visual density and performance are automatically adjusted on higher timeframes. How to use it Recommended workflow: 1. Higher timeframe (1H, 4H, Daily) Use the bubbles to identify dominant buy or sell participation, balance zones, and absorption near highs or lows. 2. Lower timeframe (5m, 15m) Take trades in alignment with the most recent higher-timeframe dominance. Be cautious or range-focused inside higher-timeframe balance zones. Use structure and price action for entries. What this indicator is not This indicator does not show true bid/ask data. It does not display actual market versus limit orders. It does not replace a DOM or exchange orderflow feed. It should not be used as a standalone entry signal. The indicator works within TradingView’s available data and provides a probabilistic, participation-weighted view of market pressure rather than true tape or orderflow data. Best practices Use a 1-minute lower timeframe for best results. Avoid setting the lower timeframe too high relative to the chart timeframe. Combine this tool with structure, levels, and session context. Treat grey bubbles as information about balance, not as noise. This tool is intended for traders who want better context and bias, not more signals.
Indikator Pine Script®
oleh shabahat_kazmi1
Universal Moving Average🙏🏻 UMA (Universal Moving Average) represents the most natural and prolly ‘the’ final general universal entity for calculating rolling typical value for any type of time-series. Simply via different weighting schemes applied together, it encodes: Location of each datapoint in corresponding fields (price, time, volume) Informational relevance of each datapoint via using windowing functions that are fundamental in nature and go beyond DSP inventions & approximations Innovation in state space (in our case = volatility) The real beauty of this development: being simply a weighting scheme that can be applied to anything: be it weighted median , weighted quantile regression, or weighted KDE , or a simple weighted mean (like in this script). As long as a method accepts weights, you can harness the power of this entity. It means that final algorithmic complexity will match your initial tool. As a moving ‘average’ it beats ALMA, KAMA, MAMA, VIDYA and all others because it is a simple and general entity, and all it does is encoding ‘all’ available information. I think that post might anger a lot of people, because lotta things will be realized as legacy and many paywalls gonna be ignored, specially for the followers of DSP cult, the ones who yet don’t understand that aggregated tick data is not a signal omg, it’s a completely different type of time series where your methods simply don’t fit even closely. I am also sorry to inform y’all, that spectral analysis is much closer to state-space methods in spirit than to DSP. But in fact DSP is cool and I love it, well for actual signals xD ... Weights explained & how to use them: as I already said, the whole thing is based on combining different set of weights, and you can turn them on/off in script settings. Btw I've set em up defaults so you can use the thing on price data out of the box right away. Price, Time, Volume weights: encode location of every datapoint in Price & TIme & Volume field Howtouse: u have to disable one weight that corresponds to the field you apply UMA to. E.g if you apply UMA to prices, you turn off price weighting And turn on time and volume weighting. Or if you apply UMA to volume delta, you turn off volume weighting And turn on price and time weighting. Higher prices are more important, this asymmetry is confirmed and even proved by the fact that prices can’t be negative (don’t even mention that incorrect rollover on CL contract in 2k20...). Signal weights: encode actuality/importance/relevance of datapoints. Howtouse: in DSP terms, it provides smoothing, but also compensates for the lag it introduces. This smoothness is useful if you use slope reversals for signal generation aka watching peaks and valleys in a moving average shape. It's also better to perturb smoothed outputs with this , this way you inject high freq content back, But in controlled way! Signal = information. The fundamental universal entity behind so-called “smoothing” in DSP has nothing to do with signals and goes eons beyond DSP. This is simply about measuring the relevance of data in time. First, new datapoints need some time to be “embedded” into the timeline, you can think of it as time proof, kinda stuff needs time to be proved, accepted; while earliest datapoints lose relevance in time. Second, along with the first notion, at the same time there’s the counter notion that simply weights new data more, acting as a counterweight from the down-weighting of the latest datapoints introduced by the first notion. The first part can be represented as PDF of beta(2, 2) window (a set of weights in our case). It’s actually well known as the Welch window, that lives in between so called statistical and DSP worlds, emerges in multiple contexts. Mainstream DSP users tho mostly don’t use this one, they use primitive legacy windowing function, you can find all kinds on this wiki page. Now the second part, where DSP adepts usually stop, is to introduce the second compensating windowing function. Instead they try to reduce window size, or introduce other kinds of volatility weights, do some tricks, but it ain’t provides obviously. The natural step here is to simply use the integral of the initial window; if the initial window is beta(2, 2) then what we simply need is CDF of beta(2, 2), in fact the vertically inverted shape of it aka survival function . That’s it bros. Simply as that. When both of these are applied you have smth magical, your output becomes smooth and yet not lagging. No arbitrary windowing functions, tricks with data modification etc Why beta(2, 2)? It naturally arises in many contexts, it’s based on one of the most fundamental functions in the universe: x^2. It has finite support. I can talk more bout it on request, but I am absolutely sure this is it. ^^ impulse response of the resulting weighs together (green) compared with uniform weights aka boxcar (red). Made with this script . Weighing by state: encodes state-space innovation of each datapoint, basically magnitude of changes, strength of these changes, aka volatility. Howtouse: this makes your moving average volatility aware in proper math ways. The influence of datapoints will be stronger when changes are stronger. This is weighting by innovations, or weighting by volatility by using squared returns. Why squared returns? They encode state‑space innovations properly because the innovation of any continuous‑time semimartingale is about its quadratic variation, and quadratic variation is built from squared increments, not absolute increments. Adaptive length is not the right way to introduce adaptivity by volatility xD. When you weight datapoints by squared returns you’re already dynamically varying ‘effective’ data size, you don’t need anything else. ... It’s all good, progress happens, that’s how the Universe works, that's how Universal Moving Average works. Time to evolve. I might update other scripts with this complete weighting scheme, either by my own desire or your request. ... ∞
Indikator Pine Script®
oleh gorx1
1
SMC Alpha Sentiment Pro [Binance Futures Data]The SMC Alpha Sentiment Pro is an advanced decision-support tool developed for the Crypto Trade community. Unlike traditional lagging indicators, this script focuses on Market Sentiment and Smart Money Concepts (SMC) by analyzing real-time data from Binance Futures. 🔍 Key Data Points: Open Interest (OI): Tracks new capital entering the market to confirm trend strength. Long/Short Ratio (LSR): Identifies retail positioning. We look for "Smart Money" opportunities when retail (LSR > 1) is trapped or providing liquidity for institutional moves. RSI & ATR: Used to identify exhaustion levels and ensure sufficient volatility for the trade. Volume Filter: A built-in security layer that validates signals only when current volume exceeds the 20-period average. 🚥 Signal Logic: SMC LONG: Triggered when OI is rising, LSR is below 1 and falling (retail selling), RSI is showing extreme strength (>= 68), and volume is surging. SMC SHORT: Triggered when OI is rising, LSR is above 1 and rising (retail buying), RSI is showing extreme weakness (<= 32), and volume is surging. 📈 Best Practices: Timeframe: Optimized for 15-minute (15M) charts. Exchange: Specifically designed to pull ticker data from Binance Futures. Disclaimer: This script is for educational purposes only. Trading involves significant risk.
Indikator Pine Script®
oleh MarechalKhan
1
Linear Regression ChannelsThis indicator dynamically identifies and plots the best-fit linear regression channels based on recent pivot points, optimizing for statistical strength across user-defined depths. How It Works (Technical Methodology) 1. Pivot Point Detection The indicator uses Pine Script's ta.pivothigh() and ta.pivotlow() functions with a configurable sensitivity length to detect swing highs and lows. All recent pivot indices are stored in an array (limited to avoid performance issues), providing potential starting points for regression calculations. 2. Multi-Depth Evaluation Users input comma-separated "Pivot History Depths" (e.g., "5,20,50"). For each depth: - The script evaluates regression fits starting from the most recent pivots, up to the specified depth count. - It calculates linear regression statistics for each possible channel originating from those pivot bars backward to the current bar. 3. Linear Regression Calculation For each candidate channel: - Slope (m) and intercept (b) are computed using least-squares method. - R-squared (R²) measures goodness of fit (how well price follows the trend line). - Standard error of the estimate is calculated to quantify volatility around the regression line. - A composite score = R² × log(length) prioritizes stronger fits on longer periods. 4. Best-Fit Selection and Validation - Only channels with R² ≥ user-defined minimum (default 0.5) are considered valid. - The channel with the highest score for each depth is selected and drawn. - This ensures the most statistically significant and relevant channels are displayed, avoiding weak or short-term noise. 5. Channel Construction - Mean Line: The regression trend line extended slightly into the future. - Inner Channels: ± user-configurable standard deviation multiplier (default 2.0σ) around the mean. - Outer Bands: ±1.5× the inner deviation for additional visual context. - Filled areas between mean and inner channels for better visibility. - Color: Green shades for upward slopes (bullish trend), red shades for downward slopes (bearish trend). 6. Dashboard and Statistics - Optional table in the top-right corner displays for each depth: - Depth value - R² (colored green if >0.7, orange otherwise) - Slope (Beta) – positive blue for uptrend, red for downtrend - Current Z-Score: How many standard deviations the latest close is from the expected regression value (yellow if |Z| > 2) How to Use Regression channels help identify trending markets, potential mean reversion, and overextension. - Upward Channels (Green): Price above the mean may indicate strength; pullbacks to the mean or lower band offer long opportunities. Overextension above upper band could signal exhaustion. - Downward Channels (Red): Price below the mean may indicate weakness; rallies to the mean or upper band offer short opportunities. Overextension below lower band could signal capitulation. - High R² (>0.7): Strong trending channel – trade in direction of slope. - Low R²: Choppy/range-bound market – avoid trend-following trades. - Z-Score: |Z| > 2 suggests price is statistically overextended from the trend (potential reversion setup). - Multi-Depth: Smaller depths catch short-term trends; larger depths capture major trends. Use multiple for confluence across timeframes. Combine with volume, support/resistance, or other indicators for confirmation. Disclaimer This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Indikator Pine Script®
oleh s3u1l
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy This Pine Script v6 strategy is designed for cryptocurrency markets operating on 5-minute and faster timeframes. It combines volatility regime detection, multi-path signal confirmation, and adaptive risk management to identify momentum-based trading opportunities in perpetual futures markets. Core Design Principles The strategy addresses three challenges specific to cryptocurrency trading: 24/7 market operation without session boundaries requires continuous monitoring and execution logic Volatility regimes shift rapidly, demanding adaptive stop and target calculations Tick-level responsiveness is critical for capturing momentum moves before they complete Strategy Architecture 1. Signal Generation Stack The strategy uses multiple technical indicators calibrated for cryptocurrency momentum: MACD with parameters 8/21/5 (fast/slow/signal) optimized for crypto acceleration phases EMA ribbon using 8/21/34 periods with slope analysis to assess trend structure Volume impulse detection combining SMA baseline, standard deviation, and z-score filtering RSI (21 period) and MFI (21 period) for momentum confirmation Bollinger Bands and Keltner Channels for squeeze detection 2. Volatility Regime Classification The strategy normalizes ATR as a percentage of price and classifies market conditions into three regimes: Compression (< 0.8% ATR): Reduced position sizing, tighter stops (1.05x ATR), lower profit targets (1.6x ATR) Expansion (0.8% - 1.6% ATR): Standard risk parameters, balanced risk-reward (1.55x stop, 2.05x target) Velocity (> 1.6% ATR): Wider stops (2.1x ATR), amplified targets (2.8x ATR), tighter trailing offsets ATR is calculated over 21 periods and smoothed with a 13-period EMA to reduce noise from wicks. 3. Multi-Path Entry System Four independent signal pathways contribute to a composite strength score (0-100): Trend Break (30 points): Requires EMA ribbon alignment, positive slope, and structure breakout above/below recent highs/lows Momentum Surge (30 points): MACD histogram exceeds adaptive baseline, MACD line crosses signal, RSI/MFI above/below thresholds, with volume impulse confirmation Squeeze Release (25 points): Bollinger Bands compress inside Keltner Channels, then release with momentum bias Micro Pullback (15 points): Shallow retracements within trend structure that reset without breaking support/resistance Additional scoring modifiers: Volume impulse: +5 points when present, -5 when absent Regime bonus: +5 in velocity, -2 in compression Cycle bias: +5 when aligned, -5 when counter-trend Trades only execute when the composite score reaches the minimum threshold (default: 55) and all filters agree. 4. Risk Management Framework Position sizing is calculated from: RiskCapital = Equity × (riskPerTradePct / 100) StopDistance = ATR × StopMultiplier(regime) Quantity = min(RiskCapital / StopDistance, MaxExposure / Price) The strategy includes: Risk per trade: 0.65% of equity (configurable) Maximum exposure: 12% of equity (configurable) Regime-adaptive stop and target multipliers Adaptive trailing stops based on ATR and regime Kill switch that disables new entries after 6.5% drawdown Momentum fail-safe exits when MACD polarity flips or ribbon structure breaks 5. Additional Filters Cycle Oscillator : Measures price deviation from 55-period EMA. Requires cycle bias alignment (default: ±0.15%) before entry BTC Dominance Filter : Optional filter using CRYPTOCAP:BTC.D to reduce long entries during risk-off periods (rising dominance) and short entries during risk-on periods Session Filter : Optional time-based restriction (disabled by default for 24/7 operation) Strategy Parameters All default values used in backtesting: Core Controls Enable Short Structure: true Restrict to Session Window: false Execution Session: 0000-2359:1234567 (24/7) Allow Same-Bar Re-Entry: true Optimization Constants MACD Fast Length: 8 MACD Slow Length: 21 MACD Signal Length: 5 EMA Fast: 8 EMA Mid: 21 EMA Slow: 34 EMA Slope Lookback: 8 Structure Break Window: 9 Regime Intelligence ATR Length: 21 Volatility Soothing: 13 Low Vol Regime Threshold: 0.8% ATR High Vol Regime Threshold: 1.6% ATR Cycle Bias Length: 55 Cycle Bias Threshold: 0.15% BTC Dominance Feed: CRYPTOCAP:BTC.D BTC Dominance Confirmation: true Signal Pathways Volume Baseline Length: 34 Volume Impulse Multiplier: 1.15 Volume Z-Score Threshold: 0.5 MACD Histogram Smoothing: 5 MACD Histogram Sensitivity: 1.15 RSI Length: 21 RSI Momentum Trigger: 55 MFI Length: 21 MFI Momentum Trigger: 55 Squeeze Length: 20 Bollinger Multiplier: 1.5 Keltner Multiplier: 1.8 Squeeze Release Momentum Gate: 1.0 Micro Pullback Depth: 7 Minimum Composite Signal Strength: 55 Risk Architecture Risk Allocation per Trade: 0.65% Max Exposure: 12% of Equity Base Risk/Reward Anchor: 1.8 Stop Multiplier • Low Regime: 1.05 Stop Multiplier • Medium Regime: 1.55 Stop Multiplier • High Regime: 2.1 Take Profit Multiplier • Low Regime: 1.6 Take Profit Multiplier • Medium Regime: 2.05 Take Profit Multiplier • High Regime: 2.8 Adaptive Trailing Engine: true Trailing Offset Multiplier: 0.9 Quantity Granularity: 0.001 Kill Switch Drawdown: 6.5% Strategy Settings Initial Capital: $100,000 Commission: 0.04% (0.04 commission_value) Slippage: 1 tick Pyramiding: 1 (no position stacking) calc_on_every_tick: true calc_on_order_fills: true Visualization Features The strategy includes: EMA ribbon overlay (8/21/34) with customizable colors Regime-tinted background (compression: indigo, expansion: purple, velocity: magenta) Dynamic bar coloring based on signal strength divergence Signal labels for entry points On-chart dashboard displaying regime, ATR%, signal strength, position status, stops, targets, and risk metrics Recommended Usage Timeframes The strategy is optimized for 5-minute charts. It can operate on 3-minute and 1-minute timeframes for faster scalping, or 15-minute for swing confirmation. When using higher timeframes, consider: Increasing structure lookback windows Raising RSI trigger thresholds above 58 to filter noise Extending volume baseline length Markets Designed for high-liquidity cryptocurrency perpetual futures: BTC/USDT, BTC/USD perpetuals ETH perpetuals Major L1 tokens with sufficient volume For thinner order books, increase volume impulse multiplier and adjust quantity granularity to match exchange minimums. Limitations and Compromises Backtesting Considerations TradingView strategy backtesting does not replicate broker execution. Actual fills, slippage, and commissions may differ The strategy uses calc_on_every_tick=true and calc_on_order_fills=true to reduce bar-close distortions, but real execution still depends on broker infrastructure At least 200 historical bars are required to stabilize regime classification, volume baselines, and cycle context Market Structure Dependencies BTC dominance feed ( CRYPTOCAP:BTC.D ) may lag during low-liquidity periods or weekends. Consider disabling the filter if data quality degrades Volume impulse detection assumes consistent order book depth. During extreme volatility or exchange issues, volume signatures may be unreliable Regime classification based on ATR percentage assumes normal volatility distributions. During black swan events, regime thresholds may not adapt quickly enough Parameter Sensitivity Default parameters are tuned for BTC/ETH perpetuals on 5-minute charts. Different assets or timeframes require recalibration The composite signal strength threshold (55) balances selectivity vs. opportunity. Higher values reduce false signals but may miss valid setups Risk per trade (0.65%) and max exposure (12%) are conservative defaults. Aggressive scaling increases drawdown risk Execution Constraints Same-bar re-entry requires broker support for rapid order placement Quantity granularity must match exchange contract minimums Kill switch drawdown (6.5%) may trigger during normal volatility cycles, requiring manual reset Performance Expectations This strategy is a framework for momentum-based cryptocurrency trading. Performance depends on: Market conditions (trending vs. ranging) Exchange execution quality Parameter calibration for specific assets Risk management discipline Backtest results shown in publications reflect specific market conditions and parameter sets. Past performance does not indicate future results. Always forward test with paper trading or broker simulation before deploying live capital. Code Structure The strategy is organized into functional sections: Configuration groups for parameter organization Helper functions for position sizing and normalization Core indicator calculations (MACD, EMA, ATR, RSI, MFI, volume analytics) Regime classification logic Multi-path signal generation and composite scoring Entry/exit orchestration with risk management Visualization layer with dashboard and chart elements The source code is open and can be modified to suit your trading requirements. Everyone is encouraged to understand the logic before deploying and to test thoroughly in their target markets. Modification Guidelines When adapting this strategy: Document any parameter changes in your publication Test modifications across different market regimes Validate position sizing logic for your exchange's contract specifications Consider exchange-specific limitations (funding rates, liquidation mechanics, order types) Conclusion This strategy provides a structured approach to cryptocurrency momentum trading with regime awareness and adaptive risk controls. It is not a guaranteed profit system, but rather a framework that requires understanding, testing, and ongoing calibration to market conditions. You should thoroughly understand the logic, test extensively in their target markets, and manage risk appropriately. The strategy's effectiveness depends on proper parameter tuning, reliable execution infrastructure, and disciplined risk management. Disclaimer This script and its documentation are for educational and informational purposes only. They do not constitute financial advice, investment recommendations, or trading advice of any kind. Trading cryptocurrencies and derivatives involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by backtesting, does not guarantee future results. This strategy is provided "as is" without any warranties or guarantees of profitability You should not rely solely on this strategy for making trading decisions Always conduct your own research and analysis before making any financial decisions Consider consulting with a qualified financial advisor before engaging in trading activities The authors and contributors are not responsible for any losses incurred from using this strategy Cryptocurrency trading can result in the loss of your entire investment Only trade with capital you can afford to lose Use this strategy at your own risk. The responsibility for any trading decisions and their consequences lies entirely with you.
Strategi Pine Script®
oleh officialjackofalltrades
Engulfing Strategy Core Concept: This is a price action trading strategy that identifies high-probability trade setups by combining multi-timeframe engulfing patterns with Current Market Price (CMP) validation. How It Works: H4 Setup Zone (Primary Timeframe) Identifies Bullish or Bearish Engulfing patterns on the 4-hour timeframe When detected, marks a zone at the high and low of the engulfed candle This zone represents the initial setup area M30 Trade Control Zone (Confirmation Timeframe) Looks for Engulfing patterns on the 30-minute timeframe These patterns must form within or near the H4 setup zone Acts as a confirmation that the setup is valid CMP Validation (Current Market Price) Monitors where price is currently trading relative to the zones Validates whether the pattern is still active or has been invalidated Helps determine entry timing and stop loss placement Trade Setup: Bullish Setup: Red candle engulfed by green candles → Zone marked at red candle's high/low → Wait for M30 confirmation → Enter when CMP validates the pattern Bearish Setup: Green candle engulfed by red candles → Zone marked at green candle's high/low → Wait for M30 confirmation → Enter when CMP validates the pattern
Indikator Pine Script®
oleh DianAsradi