Rozpocznij

SPRZEDAJ

TickCharts [crlmx]Volume-based candlestick chart - each candle represents a fixed dollar volume, rather than a time interval. A configurable bar statistics table shows delta, CVD, and volume breakdowns per candle. Reveals market participation pace, institutional activity, and regime shifts through candle formation speed. Key Features Dollar volume threshold candles (default $1M) Tick-accurate volume via TradingView footprint API (Premium or above) Bar statistics table with 6 configurable rows below candles 9 data types per row: Time, Volume, Delta, Buy, Sell, Delta %, Buy %, Sell %, Session CVD Volume progress label showing dollar amount, threshold and percentage on the live candle Streamlined input / UI brought to you by crlmx Trading Applications Volume candles compress during consolidation and expand during breakouts Fast candle succession signals high participation; slow formation signals stalling CVD tracks cumulative order flow direction across the visible range Delta and CVD rows show buyer/seller dominance per candle Recommended settings: Crypto (BTC/ETH): Candle Volume: $5M-$10M Index Futures (ES/NQ): Candle Volume: $1M-$2M Commodities (Gold): Candle Volume: $500K-$1M Version History v0.42 (Latest - 07 Mar 2026) Updated LTF Volume calculation to Footprint API Added Bar statistics table with 6 configurable rows and 9 data types Added row customisation
Wskaźnik Pine Script®
od crlmx
MyTradeEdge.com Pro Levels & Zones [MTE]MyTradeEdge.com Pro Levels & Zones An all-in-one futures trading overlay that combines supply & demand zones, multi-session key levels, and confluence-scored buy/sell signals on a single chart. Features Supply & Demand Zones Automatically detects institutional supply (red) and demand (green) zones using 60-minute pivot structure. Zones extend in real-time and are removed when invalidated by price or age. Configurable minimum zone size and max zone age. Confluence-Scored Signals Buy and sell signals fire when price enters a fresh zone, rated 1-5 stars based on how many factors align: Volume delta direction VWAP proximity and trend bias Nearby key levels (PDH/PDL, PMH/PML, POC, London session) Higher star ratings = higher conviction setups. A built-in cooldown prevents signal spam. Session Levels London & Asia session highs/lows displayed as live-updating steplines Pre-market (PMH/PML) and overnight (ONH/ONL) ranges Opening Print captured at RTH open Key Levels Toggle any combination of: PDH, PDL, PDC, PMH, PML, PWH, PWL, ONH, ONL, Opening Print — drawn as clean dashed lines with price labels. Additional Tools (off by default) VWAP — standard anchored to session POC — intraday volume Point of Control Fair Value Gaps — bullish/bearish imbalances with configurable minimum size Opening Range (ORB) — 15 or 30 minute RTH opening range box Recommended Use Instruments: NQ, ES, and other futures (zone size defaults tuned for NQ) Timeframes: 1-15 min intraday charts Workflow: Use zones + key level confluence to identify high-probability entries. Look for 4-5 star signals at levels where multiple references converge. Settings All features are independently toggleable. Defaults are optimized for NQ on a 5-minute chart. Adjust "Min Zone Size" for your instrument (NQ: 20-50 pts, ES: 5-15 pts). Adjust the instrument recommendations or workflow section if you want to target a broader audience beyond futures.
Wskaźnik Pine Script®
od blu3manx
Hidden Markov Model: Baum-Welch [UAlgo]Hidden Markov Model: Baum-Welch is a regime detection and reversal signaling indicator that applies a 3 state Hidden Markov Model to normalized log returns and continuously adapts its parameters using an online Baum Welch expectation maximization routine. The script is designed to classify the market into three latent regimes, then express that classification as real time probabilities for Bull, Range, and Bear conditions. The indicator runs in its own pane ( overlay=false ) and outputs: Probability curves for the three regimes A dominant regime score scaled to 0 to 1 A regime strip visualization for quick bias reading Adaptive background coloring based on the dominant regime and confidence Optional regime shift markers Optional buy and sell reversal markers driven by strict multi condition logic The core idea is that price behavior can be modeled as transitions between hidden states that each have their own return distribution. The script fits a Gaussian emission model for each state, estimates state transition probabilities, and updates the posterior probability of each state on every bar. It retrains the full model at fixed intervals, while using a faster one step forward update between retrains for efficiency. This implementation is not a simple threshold oscillator. It is a full mini HMM engine built in Pine with: Scaled forward and backward algorithms Expectation step producing gamma and xi posteriors Maximization step updating initial distribution, transition matrix, state means, and state variances Safeguards such as variance floors and transition floors to maintain numerical stability The output is a regime aware probability system that can be used for bias, context, and reversal confirmation rather than simple entry signals. Educational tool only. Not financial advice. 🔹 Features 🔸 1) Three State Hidden Markov Model Regime Engine The model uses three hidden states and continuously estimates the probability of being in each state: Bull regime Range regime Bear regime This gives a probabilistic regime map rather than a single hard classification. 🔸 2) Baum Welch Training with Scheduled Retraining The script retrains its parameters using an EM routine at a user defined interval in bars. Each retrain runs a configurable number of EM iterations. Between retrains, the indicator performs a one step forward Bayesian update of the posterior state probabilities. This structure balances adaptability with performance. 🔸 3) Normalized Log Return Observations The observation series is a z score normalized log return: Log returns convert price changes into additive units An EMA and rolling standard deviation normalize the series to stabilize the HMM fit This helps the HMM learn regimes based on relative return behavior rather than raw price scale. 🔸 4) Automatic Bull, Range, and Bear Role Assignment The model learns state means. The script then assigns roles by ranking those learned means: The state with the lowest mean becomes the Bear state The state with the highest mean becomes the Bull state The remaining state is treated as Range This keeps regime labeling consistent even as the internal state ordering shifts during training. 🔸 5) Probabilities and Dominant Regime Visualization The script plots: Bull probability curve Range probability curve Bear probability curve It also plots an area for the dominant probability and a regime strip that makes it easy to see the dominant regime quickly without reading the full curves. 🔸 6) Regime Score Line (Bull minus Bear) A continuous score is calculated as Bull probability minus Bear probability, then scaled to a 0 to 1 range. This score becomes the main regime momentum signal used for rebound and reversal logic. 🔸 7) Adaptive Background Coloring by Regime and Confidence The pane background color changes based on the dominant regime. Transparency adapts according to confidence, so strong regime certainty produces a more visible background while low certainty remains subtle. 🔸 8) Strict Signal Filters for Bias and Reversal The indicator provides bias filters: Bull bias when Bull probability and confidence exceed thresholds and the dominant regime is Bull Bear bias when Bear probability and confidence exceed thresholds and the dominant regime is Bear It also provides reversal style buy and sell signals based on a multi condition framework described in the calculations section. 🔸 9) Reversal Logic Combining Extremes, Rebounds, and Transition Edge Reversal signals are not generated by a single crossover. The script requires: An extreme score pivot An extreme regime probability at that pivot A rebound trigger through predefined rebound levels A minimum probability and confidence filter A transition asymmetry and edge condition that favors switching toward the target regime A momentum condition requiring Bull probability rising and Bear probability falling for buys, and the inverse for sells A time window limit so reversals must occur within a limited number of bars after the extreme This creates a high selectivity reversal engine. 🔸 10) Transition Matrix Insight and Switch Edge Metrics The script computes predicted transition probabilities toward Bull and Bear using the current posterior and the transition matrix. It also measures transition asymmetry between Bull to Bear and Bear to Bull and uses these values as part of reversal confirmation. This adds structural information that classic oscillators do not capture. 🔸 11) Anti Duplicate Reversal Signals Once a pivot extreme has been used to generate a reversal signal, it is marked as consumed so the same pivot cannot repeatedly trigger additional buy or sell signals. This helps avoid signal repetition. 🔸 12) Full Informational Label Output A live info label prints: Current regime Current signal text Confidence Bull, Range, Bear probabilities Log likelihood Key trigger thresholds Reversal settings and edge settings This provides transparency into what the model is currently seeing and why signals are or are not appearing. 🔹 Calculations 1) Observation Series: Normalized Log Returns The script uses log returns: logRet = math.log(close / nz(close , close)) Then normalizes them with an EMA mean and rolling standard deviation: retMean = nz(ta.ema(logRet, normLength), 0.0) retStd = math.max(nz(ta.stdev(logRet, normLength), 0.0), 1e-6) obs = (logRet - retMean) / retStd This creates an observation series with more stable scale properties across time. 2) Rolling Observation Window The HMM is trained on a rolling window of length windowLen . Only the most recent processRecentBars are processed to control load: startBar = last_bar_index - processRecentBars activeRange = bar_index >= (startBar < 0 ? 0 : startBar) If active, the observation is appended and the oldest one is removed: if array.size(obsWindow) < windowLen array.push(obsWindow, obs) else array.shift(obsWindow) array.push(obsWindow, obs) The model is ready only when the window is full. 3) Model Initialization The script initializes a 3 state model with: Uniform initial state probabilities A transition matrix seeded with high persistence and equal small jump probabilities State means initialized around zero with a configured separation State variances initialized to a configured starting value Key logic: Stay probability equals initialPersistence Jump probability equals the remaining probability split across other states This gives the HMM a stable starting point before training. 4) Emission Model: Gaussian per State Each state emits observations using a Gaussian density: math.exp(-0.5 * d * d / varS) / math.sqrt(TWO_PI * varS) Variance uses a floor: float varS = math.max(array.get(this.vr, s), varMin) This prevents variance collapse and numeric instability. 5) Forward Algorithm with Scaling The script computes the forward probabilities alpha and applies scaling coefficients c to prevent underflow. It then recovers log likelihood from the scaling coefficients: this.logLik := -sum(log(c )) This is essential because HMM sequences quickly underflow without scaling. 6) Backward Algorithm with Scaling The backward probabilities beta are computed using the scaling values from the forward pass, ensuring alpha and beta remain numerically stable across the entire window. 7) Expectation Step: Gamma and Xi Gamma represents posterior probability of being in state i at time t . Xi represents posterior probability of transitioning from i to j between t and t+1 . Xi is normalized per time step: xij = xi_raw / denom Gamma is computed as the sum of xi across outgoing transitions for each state: gamma(t, i) = sum_j xi(t, i, j) 8) Maximization Step: Updating Parameters Initial probabilities update from gamma at time 0: pi = gamma(0, i) Transition probabilities update from xi sums divided by gamma sums, with a transition floor and row normalization: Each transition is clamped to transitionFloor Each row is normalized to sum to 1 Means update as weighted averages of observations using gamma weights. Variances update as weighted squared deviation sums with a variance floor. 9) Retraining Schedule and Online Updates The model retrains when: It is not initialized yet Or the bar index matches the retrain interval shouldRetrain = ready and (not modelInitialized or bar_index % retrainEveryBars == 0) On retrain, Baum Welch is run for emIterations . Between retrains, the script performs a one step forward update of the posterior: hmm.forwardOne(posterior, obs, varianceFloor, posteriorTmp) This provides continuous posterior updates without full retraining on every bar. 10) Role Mapping to Bull, Range, Bear The script assigns which internal state corresponds to Bear and Bull by looking at the learned means: Bear state is the state with the minimum mean Bull state is the state with the maximum mean Range is the remaining state index This mapping updates dynamically as the model learns. 11) Regime Score and Confidence The regime score is: score = pBull - pBear It is then scaled to 0 to 1: score01 = 0.5 + 0.5 * score Confidence is: confidence = max(pBull, pRange, pBear) This confidence drives background alpha and signal gating. 12) Probability Filters for Bias Bull filter requires: Bull probability above bullProbTrigger Confidence above signalConfidenceMin Bear filter requires similar conditions for Bear probability. Bias validity adds the requirement that the dominant regime role matches the direction: Bull bias requires dominantRole equals 1 Bear bias requires dominantRole equals minus 1 13) Extreme Pivot Logic for Reversal Candidates The script looks for pivots in the score line: ta.pivotlow(score01, pivotStrength, 1) ta.pivothigh(score01, pivotStrength, 1) It stores the most recent pivot low and pivot high along with the associated Bull or Bear probability at the pivot bar. A low extreme is valid if: Score at pivot is below dipScoreLevel Bear probability at pivot exceeds extremeProbMin A high extreme is valid if: Score at pivot is above topScoreLevel Bull probability at pivot exceeds extremeProbMin 14) Rebound Triggers After an extreme, the script waits for rebound triggers: Up rebound: ta.crossover(score01, reboundUpLevel) Down rebound: ta.crossunder(score01, reboundDownLevel) Rebound must occur within the reversal window bars from the extreme pivot. 15) Transition Edge and Asymmetry Logic The script computes predicted probabilities of switching toward Bull or Bear using the transition matrix and current posterior. It also computes transition asymmetry between the Bull to Bear and Bear to Bull transitions. A bullish switch condition requires: Switch edge greater than hmmEdgeMin Transition asymmetry favoring Bear to Bull at or above transitionAsymMin Bull probability greater than Bear probability A bearish switch condition uses the mirrored logic. This adds a model based confirmation that a regime switch is plausible, not only that the score bounced. 16) Momentum Confirmation Bull momentum requires: Bull probability rising Bear probability falling Bear momentum requires the opposite. These conditions prevent signals when probabilities are flat or conflicting. 17) Final Reversal Signal Construction Buy reversal requires: Valid low extreme Not consumed Inside reversal window Rebound up Bull probability and confidence filter Bullish HMM switch condition Bull momentum Sell reversal requires the mirrored set of conditions. The sell is suppressed if a buy is simultaneously true so conflicting signals do not print on the same bar. 18) Visualization Output The script plots: Probability curves for each regime A dominant probability area A thick score line colored by regime A regime strip column plot Fills between Bull and Bear curves and between rebound levels Adaptive background Optional markers for regime shifts Reversal markers as glow plus label style plots The info label consolidates the most important current state and threshold data for transparency.
Wskaźnik Pine Script®
od UAlgo
1
TX Smooth ReversalOverview: The CDSA Smooth Reversal is a quantitative trading tool designed to identify high-probability price exhaustion and reversal points. By combining Multi-Timeframe (MTF) alignment with a sophisticated Band Engine based on KAMA (Kaufman Adaptive Moving Average), this indicator filters out market noise and focuses on institutional-grade reversal zones. Key Features: KAMA-Adaptive Bands: Unlike standard Bollinger Bands, our bands use an Efficiency Ratio (ER) to adapt to market volatility, expanding during trends and contracting during consolidations. Probabilistic Reversal Scoring: A proprietary logic that calculates the likelihood of a reversal based on price deviation, volume characteristics, and trend exhaustion. MTF Fusion Gate: Ensures that signals only appear when multiple timeframes (Micro, Operational, and Regime) are in alignment, significantly reducing false signals. Heikin Ashi Integration: Optional HA logic processing to smooth out erratic price action for long-term trend analysis. Live Dashboard: Real-time monitoring of Bull/Bear reversal probabilities and MTF status directly on your chart. How to Trade: Bullish Reversal (BUY): Look for the "BUY" label when the Bull Probability is high (>75%) and price touches the lower outer bands. Bearish Reversal (SELL): Look for the "SELL" label when the Bear Probability is high (>75%) and price reaches the upper outer bands. MTF Confirmation: Ensure the "MTF Alignment" on the dashboard matches your trade direction for the highest win-rate setups. Settings: Algorithm Mode: Choose between Conservative (fewer, higher quality signals), Normal, or Aggressive. Alignment Threshold: Adjust how strictly the different timeframes must agree before a signal is triggered.
Wskaźnik Pine Script®
od Tonzlnxz
Adaptive Volatility Trend [WillyAlgoTrader]Adaptive Volatility Trend (AVT) is a trend-following overlay indicator that dynamically adjusts its sensitivity to market conditions using the Kaufman Efficiency Ratio and ATR-based volatility bands. Unlike static moving averages or fixed-width channels, AVT continuously adapts: it accelerates in strong directional moves and slows down during choppy, range-bound price action — reducing whipsaws where most trend indicators fail. 🔍 WHAT MAKES IT ORIGINAL The core innovation is a self-tuning mechanism built on three adaptive layers: 1. Kaufman Efficiency Ratio (ER) as an adaptive engine. The ER measures how "efficient" price movement is — the ratio of net directional change to total path traveled over N bars. An ER near 1.0 means price moved in a clean straight line (strong trend); near 0.0 means it went sideways with lots of noise. AVT uses the smoothed ER to dynamically blend between a fast constant (2-period EMA speed) and a slow constant (30-period EMA speed), producing an Adaptive Moving Average that responds quickly in trends and becomes sluggish in chop. 2. ER-scaled ATR bands. The volatility channel doesn't just use raw ATR × multiplier. It incorporates the Efficiency Ratio to narrow the bands during trending conditions (where ER is high) and widen them during ranging markets (where ER is low). This means the channel contracts when the trend is clean — keeping signals tight — and expands when price is noisy — filtering out false breakouts. 3. Composite Signal Scoring System (0–100). Every signal receives a quality score based on three weighted components: — Trend strength (0–40 pts): derived from the Efficiency Ratio magnitude — Momentum (0–30 pts): RSI distance from the neutral 50-level in the signal direction — Volume confirmation (0–30 pts): current volume relative to its 20-period average Only signals exceeding the user-defined minimum score threshold are displayed — letting you filter out low-conviction setups. ⚙️ HOW IT WORKS Trend detection: The indicator calculates an Adaptive Moving Average using the Kaufman method. The slope of this line determines trend direction: if the line rises by more than 5% of current ATR, the trend is classified as bullish; if it falls by the same threshold, bearish. A small dead zone (ATR × 0.05) prevents noise from flipping the trend. Signal generation: A BUY signal fires when: — Trend flips from bearish/neutral to bullish (slope turns positive) — Price is above the adaptive line — RSI is not in overbought territory (if RSI filter is enabled) — Volume exceeds its moving average × threshold (if volume filter is enabled; auto-disabled on forex) — Composite score meets the minimum threshold — Bar is confirmed (close-based, no repainting) SELL signals use the mirror logic. Anti-repaint compliance: All signals require barstate.isconfirmed — they only trigger on the close of the bar and never change on historical data. A warmup period (minimum 50 bars or 2× Trend Length) prevents unreliable early signals. Volume filter on forex: The indicator automatically detects instruments with no volume data (common on forex pairs) and bypasses the volume filter for those symbols, so it works seamlessly across asset classes. 📖 HOW TO USE Reading the chart: — Green trend line + upward slope = bullish regime — Red trend line + downward slope = bearish regime — Yellow trend line = neutral / transitioning — ▲ labels below bars = confirmed BUY signal — ▼ labels above bars = confirmed SELL signal — The shaded channel around the trend line shows volatility-adjusted support/resistance zones Quick-start presets: — Conservative (Length 30 / ATR 20 / Mult 2.5): fewer signals, higher reliability — suited for swing trading on 4H–Daily — Default (Length 20 / ATR 14 / Mult 2.0): balanced for most timeframes — Aggressive (Length 12 / ATR 10 / Mult 1.5): more signals — suited for 15min–1H — Scalping (Length 8 / ATR 7 / Mult 1.2): fast response — optimized for 1–5min charts Signal quality: Use the Score value in the dashboard to gauge conviction: — 70–100: strong trend + momentum + volume alignment — 40–69: moderate setup, consider additional confluence — Below threshold: signal filtered out (not shown) Dashboard panel: Displays current trend direction, last signal with its score, Efficiency Ratio %, RSI value, timeframe, and indicator version. Position is adjustable to any corner of the chart. Alerts & automation: Supports both standard TradingView alert messages and JSON webhook format for integration with 3Commas, Alertatron, or custom bots. Alert messages include ticker, price, timeframe, and signal score. ⚙️ KEY SETTINGS REFERENCE — Trend Length (default 21): lookback for adaptive MA — higher = smoother, lower = faster — ATR Length (default 14): period for volatility bands — higher = wider bands — Band Multiplier (default 2.0): ATR multiplier for channel width — higher = fewer false signals — RSI Filter (on by default): blocks buy signals when RSI > 70, sell signals when RSI < 30 — Volume Filter (on by default): requires volume > SMA(20) × 1.2 — auto-disabled on forex — Min Signal Score (default 40): minimum composite score for signal display — Efficiency Smoothing (default 5): EMA smoothing of the Kaufman ER ⚠️ IMPORTANT NOTES — This indicator does not use future data. No lookahead, no repainting. — Past performance shown on any chart does not guarantee future results. — AVT is a tool for identifying trend direction and generating signal candidates — it is not a complete trading system. Always use proper risk management and consider additional confluence before entering trades. — The indicator works best in trending markets. In prolonged sideways conditions, even filtered signals may produce whipsaws — the Efficiency Ratio in the dashboard helps you assess whether the current market is trending enough for signal reliability.
Wskaźnik Pine Script®
od WillyAlgoTrader
2
Gold Breakout Trader⚙️ Gold short-term entries off M1 timeframe every 2 hours every day with SL/TP targets. 📦 2-Hour Breakout Structure: The indicator plots a new set of dynamic zones every two hours, providing a fresh breakout structure based on the most recent price action. This is the default setting and is designed for intraday trading. 🎯 Precision Entry & Exit Levels: A central gray box is plotted, with Buy Stop and Sell Stop lines automatically placed 2 USD away from its borders. This buffer creates a neutral zone and helps filter out noise. 💰 Pre-Defined Profit Targets: Three Take Profit TP zones are plotted for both long and short trades TP1, TP2, TP3. These zones are spaced apart, providing clear targets for managing trades. ⚙️ Fully Customizable Spacing: Every element is adjustable. You can change the buffer between the gray box and stop lines, the gap between the stop lines and the first TP zone, and the gaps between each subsequent TP zone. 🔔 M1 Breakout Alerts: The indicator includes a powerful alerts module that triggers when an M1 candle closes above the Buy Stop level or below the Sell Stop level. This provides real-time notifications for potential trade entries. 🎨 Clean Visuals & Clear Labels: The zones are color-coded teal for buy-side, red/purple for sell-side for instant recognition. The Buy Stop and Sell Stop labels are also colored to match their respective directions, ensuring zero confusion. ⚙️ Trading Strategy & Logic This strategy is designed for precision and requires patience. The core idea is to wait for the market to confirm a breakout of the established 2-hour range before entering a trade. 📌 Entry Logic 1. 🕒 Wait for a New Zone: Allow the indicator to plot a new 2-hour structure. Do not trade old or expired zones. 2. 🔔 Set Your Alerts: In TradingView, create a new alert and select the indicator. For the condition, choose "Any alert() function call" and set it to trigger "Once Per Bar Close". This will notify you the moment a candle closes across a stop level. 3. 👀 Wait for the M1 Close: For a Long Buy Trade, wait for an M1 candle to close above the Buy Stop line. For a Short Sell Trade, wait for an M1 candle to close below the Sell Stop line. 4. ✅ Enter on Confirmation: Once you receive the alert and visually confirm the M1 candle has closed past the level, you can enter the trade. 🛑 Stop Loss SL Placement The stop loss is designed to be tight and objective, providing a clear invalidation of the trade idea. ⬇️ For a Long Trade, the Stop Loss should be placed at the Sell Stop line the level on the opposite side of the gray box. ⬆️ For a Short Trade, the Stop Loss should be placed at the Buy Stop line. 🎯 Take Profit TP Strategy The indicator provides three clear targets. How you use them depends on your trade management style. 🥇 TP1: The first level of resistance/support. This is an ideal target for taking partial profits and moving your stop loss to breakeven. 🥈 TP2 & TP3: Subsequent targets for scaling out of the position or for your final profit target. ⚠️ IMPORTANT NOTICE This indicator and the accompanying strategy are provided for educational purposes only. Trading financial markets involves substantial risk, and past performance is not indicative of future results. The logic described is based on a specific set of rules and does not guarantee profit. Always conduct your own analysis and risk management before entering any trade. The creators are not responsible for any financial losses incurred.
Wskaźnik Pine Script®
od ProjectSyndicate
16
MidZone Breakout Pro 🚀 MidZone Breakout Pro — Smart Balance Zone Signals 🧭 Equilibrium-Based Market Insight MidZone Breakout Pro identifies key balance levels in the market and highlights directional opportunities when price decisively moves away from equilibrium. 📐 Dynamic Midpoint Zone Mapping Automatically plots a central price balance zone derived from recent market ranges, helping traders visualize fair value and expansion areas. 🎯 Clear Buy & Sell Signals Generates clean bullish and bearish signals when price exits the balance zone with momentum. 🎨 High-Visibility Zone Visualization Color-coded zones, background shading, and bold signal markers provide instant clarity without chart clutter. 🎚 Customizable Sensitivity Adjustable lookback period and zone width allow seamless adaptation across scalping, intraday, and swing trading. 🕰 Non-Repainting Signals All signals are calculated using confirmed price action and remain stable on historical charts. ⚡ Lightweight & Fast Performance Optimized design ensures smooth performance across all instruments and timeframes. 🛠 How to Use (Safe Version) 📉 **Buy Signal**: Appears when price moves strongly above the balance zone 📈 **Sell Signal**: Appears when price moves strongly below the balance zone 🟨 **Neutral Zone**: Indicates consolidation or equilibrium conditions Best used in combination with trend direction, support/resistance, or volume confirmation. ⚠️ Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice. Always apply proper risk management.
Wskaźnik Pine Script®
od ChandraBose2002
4
Volume Anomaly Reversal DetectionVolume Anomaly Reversal Detection (VARD System) 🎯 What This Indicator Does This indicator identifies potential trend reversals by detecting abnormal volume activity that often precedes significant price movements. It combines volume anomaly detection with dynamic trend analysis to generate actionable BUY/SELL signals. 📊 Core Concept & Methodology Volume Anomaly Detection The indicator analyzes directional volume (buying vs selling pressure) from a lower timeframe and calculates Z-scores to identify statistically significant volume spikes. Z-Score Formula: Z = (Current Volume - Average Volume) / Standard Deviation When volume exceeds the threshold (default: 3 standard deviations above mean), it signals unusual market activity - often caused by forced liquidations or capitulation. Dynamic Trend Filter A custom trend-following algorithm based on ATR (Average True Range) bands determines the current market direction: Price above lower band = Uptrend Price below upper band = Downtrend Signal Logic Volume anomaly detected during an existing trend Trend reversal confirmed within the confirmation window Signal generated = BUY or SELL label appears ⚙️ Settings Explained SettingDefaultDescriptionAnalysis Timeframe15minLower timeframe for volume samplingStatistical Lookback200Bars used for Z-score calculationAnomaly Sensitivity3.0Z-score threshold (lower = more signals)Confirmation Window50Max bars between anomaly and trend flipATR Multiplier2.0Trend band widthTrend Period10ATR calculation length 📖 How To Use Entry Signals BUY: Green label appears below bar - consider long positions SELL: Red label appears above bar - consider short positions Volume Anomaly Markers (⬥) Small diamonds indicate detected volume spikes These are early warnings before confirmed signals Useful for anticipating potential reversals Trend Bands Colored zones show active signal direction Stay with the trend until opposite signal appears Best Practices Confirm with price action - Look for support/resistance levels Use appropriate timeframes - Works on all timeframes, but 1H-4H recommended Manage risk - Always use stop losses Avoid ranging markets - Best in trending/volatile conditions ⚠️ Important Notes No indicator is perfect - Use as part of a complete trading strategy Volume data required - Will show warning if volume unavailable Not financial advice - Always do your own research 🔔 Alerts Available BUY Signal Confirmed SELL Signal Confirmed Volume Anomaly (Buy Setup) Volume Anomaly (Sell Setup)
Wskaźnik Pine Script®
od A1TradingHub
6
Next Candle PredictorAdvanced TradingView Indicator for Precise Buy and Sell Signals Overview: The Predicta Futures - Next Candle Predictor is a cutting-edge TradingView indicator designed to forecast the next candle's direction in futures and cryptocurrency markets. Leveraging a multi-indicator confluence strategy, this tool provides traders with actionable long and short prediction percentages, enhanced by dynamic ADX-based thresholds and visual projection candles. Ideal for scalping, day trading, or swing trading on platforms like MEXC or Binance futures, it combines Supertrend, MACD, RSI, Stochastic, ADX, and volume analysis to deliver high-probability buy and sell signals while minimizing false positives. Key Features: • Multi-Indicator Confluence Scoring: Integrates Supertrend for trend direction, EMAs (8, 21, 50) for alignment, MACD for momentum crossovers, RSI for overbought/oversold conditions, Stochastic for divergence detection, ADX for trend strength, and volume ratios for confirmation. A customizable confluence score (0-6) ensures signals meet user-defined criteria, reducing whipsaws in volatile markets. • Dynamic Prediction Thresholds: ADX-driven adjustments lower the required prediction percentage (e.g., 60% in strong trends) for "PERFECT TIME" entries, adapting to market conditions like ranging or trending phases. • Visual Analysis Table: A sleek, color-coded dashboard displays progress bars for each indicator, prediction percentages, and status (e.g., "PERFECT TIME" or "WAIT"). Supports long and short analyses with intuitive ASCII bars for quick scans. • Projection Candles: Simulates potential next-candle outcomes with volatility-scaled (via Bollinger Bands width) green long and red short candles, aiding in visualizing price targets. • Buy/Sell Signals and Alerts: Generates labeled "BUY" and "SELL" arrows on EMA crossovers within confirmed trends, with separate alerts for basic signals and high-confluence "PERFECT TIME" opportunities. • Customizable Inputs: Adjust ATR periods, Supertrend factors, minimum confluence scores, and volume ratios to tailor the indicator for stocks, forex, or crypto perpetual futures. How It Works: This TradingView script calculates long and short scores using weighted contributions from key indicators, normalizing them into prediction percentages. A confluence check—factoring trend, EMA alignment, MACD, Stochastic, volume, and ADX—triggers "PERFECT TIME" only when conditions align robustly. For example: • In a downtrend (Supertrend red), with bearish MACD and Stochastic, and sufficient volume, the indicator highlights short opportunities. • Dynamic thresholds ensure aggressive entries in strong trends (ADX >25) and conservative ones in weak trends. • Backtested for reliability, it excels in identifying reversals and continuations, making it a must-have for traders seeking an edge in futures trading strategies. Usage Instructions: 1. Add the indicator to your TradingView chart. (Search: Next Candle Predictor) 2. Customize settings via the inputs panel (e.g., set minConfluence to 5 for stricter signals). 3. Monitor the analysis table for predictions and confluence scores. 4. Act on "BUY/SELL" labels or "PERFECT TIME" alerts, combining with your risk management. 5. Enable projection candles for visual forecasting of the next bar. Compatible with all timeframes, from 1-minute scalping to daily swings. Note: This is not financial advice; always verify signals with additional analysis. Join thousands of traders enhancing their strategies—add it to your charts today and elevate your trading performance! Please rate and review if it boosts your trades! Thank you!
Wskaźnik Pine Script®
od PredictaFutures
39
Next Candle PredictorAdvanced TradingView Indicator for Precise Buy and Sell Signals Overview: The Predicta Futures - Next Candle Predictor is a cutting-edge TradingView indicator designed to forecast the next candle's direction in futures and cryptocurrency markets. Leveraging a multi-indicator confluence strategy, this tool provides traders with actionable long and short prediction percentages, enhanced by dynamic ADX-based thresholds and visual projection candles. Ideal for scalping, day trading, or swing trading on platforms like MEXC or Binance futures, it combines Supertrend, MACD, RSI, Stochastic, ADX, and volume analysis to deliver high-probability buy and sell signals while minimizing false positives. Key Features: * Multi-Indicator Confluence Scoring: Integrates Supertrend for trend direction, EMAs (8, 21, 50) for alignment, MACD for momentum crossovers, RSI for overbought/oversold conditions, Stochastic for divergence detection, ADX for trend strength, and volume ratios for confirmation. A customizable confluence score (0-6) ensures signals meet user-defined criteria, reducing whipsaws in volatile markets. * Dynamic Prediction Thresholds: ADX-driven adjustments lower the required prediction percentage (e.g., 60% in strong trends) for "PERFECT TIME" entries, adapting to market conditions like ranging or trending phases. * Visual Analysis Table: A sleek, color-coded dashboard displays progress bars for each indicator, prediction percentages, and status (e.g., "PERFECT TIME" or "WAIT"). Supports long and short analyses with intuitive ASCII bars for quick scans. * Projection Candles: Simulates potential next-candle outcomes with volatility-scaled (via Bollinger Bands width) green long and red short candles, aiding in visualizing price targets. Buy/Sell Signals and Alerts: Generates labeled "BUY" and "SELL" arrows on EMA crossovers within confirmed trends, with separate alerts for basic signals and high-confluence "PERFECT TIME" opportunities. * Customizable Inputs: Adjust ATR periods, Supertrend factors, minimum confluence scores, and volume ratios to tailor the indicator for stocks, forex, or crypto perpetual futures. How It Works: This TradingView script calculates long and short scores using weighted contributions from key indicators, normalizing them into prediction percentages. A confluence check—factoring trend, EMA alignment, MACD, Stochastic, volume, and ADX—triggers "PERFECT TIME" only when conditions align robustly. For example: In a downtrend (Supertrend red), with bearish MACD and Stochastic, and sufficient volume, the indicator highlights short opportunities. Dynamic thresholds ensure aggressive entries in strong trends (ADX >25) and conservative ones in weak trends. Backtested for reliability, it excels in identifying reversals and continuations, making it a must-have for traders seeking an edge in futures trading strategies. Usage Instructions: 1. Add the indicator to your TradingView chart. 2. Customize settings via the inputs panel (e.g., set minConfluence to 5 for stricter signals). 3. Monitor the analysis table for predictions and confluence scores. 4. Act on "BUY/SELL" labels or "PERFECT TIME" alerts, combining with your risk management. 5. Enable projection candles for visual forecasting of the next bar. Compatible with all timeframes, from 1-minute scalping to daily swings. Note: This is not financial advice; always verify signals with additional analysis. Rate and review if it boosts your trades! Thank you!
Wskaźnik Pine Script®
od PredictaFutures
Strategy: HMA 50 + Supertrend SniperHMA 50 + Supertrend Confluence Strategy (Trend Following with Noise Filtering) Description: Introduction and Concept This strategy is designed to solve a common problem in trend-following trading: Lag vs. False Signals. Standard Moving Averages often lag too much, while price action indicators can generate false signals during choppy markets. This script combines the speed of the Hull Moving Average (HMA) with the volatility-based filtering of the Supertrend indicator to create a robust "Confluence System." The primary goal of this script is not just to overlay two indicators, but to enforce a strict rule where a trade is only taken when Momentum (HMA) and Volatility Direction (Supertrend) are in perfect agreement. Why this combination? (The Logic Behind the Mashup) Hull Moving Average (HMA 50): We use the HMA because it significantly reduces lag compared to SMA or EMA by using weighted calculations. It acts as our primary Trend Direction detector. However, HMA can be too sensitive and "whipsaw" during sideways markets. Supertrend (ATR-based): We use the Supertrend (Factor 3.0, Period 10) as our Volatility Filter. It uses Average True Range (ATR) to determine the significant trend boundary. How it Works (Methodology) The strategy uses a boolean logic system to filter out low-quality trades: Bullish Confluence: The HMA must be rising (Slope > 0) AND the Close Price must be above the Supertrend line (Uptrend). Bearish Confluence: The HMA must be falling (Slope < 0) AND the Close Price must be below the Supertrend line (Downtrend). The "Choppy Zone" (Noise Filter): This is a unique feature of this script. If the HMA indicates one direction (e.g., Rising) but the Supertrend indicates the opposite (e.g., Downtrend), the market is considered "Choppy" or indecisive. In this state, the script paints the candles or HMA line Gray and exits all positions (optional setting) to preserve capital. Visual Guide & Signals To make the script easy to interpret for traders who do not read Pine Script, I have implemented specific visual cues: Green Cross (+): Indicates a LONG entry signal. Both HMA and Supertrend align bullishly. Red Cross (X): Indicates a SHORT entry signal. Both HMA and Supertrend align bearishly. Thick Line (HMA): The main line changes color based on the trend. Green: Bullish Confluence. Red: Bearish Confluence. Gray: Divergence/Choppy (No Trade Zone). Thin Step Line: This is the Supertrend line, serving as your dynamic Trailing Stop Loss. Strategy Settings HMA Length: Default is 50 (Mid-term trend). ATR Factor/Period: Default is 3.0/10 (Standard for trend catching). Exit on Choppy: A toggle switch allowing users to decide whether to hold through noise or exit immediately when indicators disagree. Risk Warning This strategy performs best in trending markets (Forex, Crypto, Indices). Like all trend-following systems, it may experience drawdown during prolonged accumulation/distribution phases. Please backtest with your specific asset before using it with real capital.
Strategia Pine Script®
od Gustav_Rex
3
SuperTrend Oscillator [ChartPrime]⯁ OVERVIEW The SuperTrend Oscillator is a hybrid momentum–trend indicator that transforms the classic SuperTrend into a full-strength oscillator. Instead of simply plotting SuperTrend direction on the chart, this tool measures the distance between price and SuperTrend, normalizes it by volatility, and converts it into a dynamic oscillator that highlights trend strength, momentum extremes, and high-precision reversal points. ⯁ CONCEPTS SuperTrend Engine: The indicator extracts the SuperTrend baseline and direction using ATR-based volatility. This acts as the core structure from which the oscillator is built. Volatility-Adjusted Oscillation: (close − SuperTrend) is divided by ATR to standardize momentum across all markets and timeframes. Adaptive Oscillator Types: The signal can be transformed using HMA, EMA, or SMA smoothing for varying responsiveness. Momentum Extremes: Values above +1.7 or below −1.7 signal stretched price conditions where reversals are more likely. Reversal Logic: The oscillator compares its current value with its value three bars ago. Large positive or negative pivots indicate momentum shifts. ⯁ FEATURES Trend-Colored SuperTrend Line The SuperTrend line shifts color based on direction, giving immediate context for oscillator readings. Full Oscillator Transformation Converts price–SuperTrend distance into a normalized oscillator, showing when momentum is expanding, contracting, or reaching exhaustion. Gradient Momentum Coloring The oscillator line and candles are colored using a two-sided gradient: • Red tones for bearish momentum • Orange/cream tones for bullish momentum • Gray tones for low momentum This makes strength visually intuitive. Extreme Zones (±1.7 Bands) Built-in upper and lower thresholds highlight zones where price is statistically overextended. Dual Fill Layers The area above/below zero is filled in different colors to emphasize bullish or bearish oscillator regime. Reversal Diamonds The script highlights significant reversals when: • Momentum shifts downward from high values (bearish pivot) • Momentum shifts upward from deep lows (bullish pivot) These diamonds help pinpoint exhaustion-based turning points. ⯁ HOW TO USE Identify Trend Strength: A rising oscillator above 0 confirms bullish SuperTrend conditions; falling below 0 confirms bearish ones. Spot Momentum Extremes: Readings above +1.7 or below −1.7 often signal overextended price moves. Use Reversal Diamonds as Pivot Alerts: Diamond markers indicate high-probability turning points when momentum sharply reverses from extreme zones. Confirm Trend Shifts with Color Changes: Candle and oscillator colors shift based on momentum direction, providing clean visual alignment with SuperTrend direction. Combine with Structure or OB Zones: Reversal signals become more reliable when they occur at key S/R, order blocks, or liquidity sweeps. ⯁ CONCLUSION The SuperTrend Oscillator modernizes the SuperTrend by transforming it into a volatility-aware oscillator with clear reversal markers, trend coloring, and momentum normalization. This tool is ideal for traders who want both trend context and precise timing signals, blending SuperTrend’s reliability with the dynamics of a professional-grade momentum oscillator.
Wskaźnik Pine Script®
od ChartPrime
7
Buy/Sell Signals [WynTrader]Hello dear Friend Here is a new version ( B-S_251121_wt ) of my Buy/Sell Signals indicator. Some calculation updates and useful enhancements have been applied. Concepts This Buy/Sell Signals indicator generates Buy/Sell signals as accurately as possible, identifying trend changes. Compared to other tools that detect trend shifts, this one is simple, easy to use, and demonstrates its efficiency on its own. - Its features are carefully designed to minimize false signals while ensuring optimal signal placement. - The Table results allow you to quickly evaluate signal performance, both on their own and compared to a Buy & Hold strategy. - The Table calculations are fully synchronized with the visible chart (WYSIWYG – What You See Is What You Get). You can also scroll the chart across different date ranges to see how a stock or product performs under various market conditions. - Seeing Buy/Sell signals on a chart is appealing, but assessing their performance in a Table makes it even more convincing. And without running a full backtest, you can get a clear overview of overall performance immediately. Features This indicator generates Buy/Sell signals using: - Fast and Slow Moving Averages (adjustable). - Bollinger Bands (adjustable). - Filters (optional, adjustable) to refine signals, including : Bollinger Bands Lookback Trend Filter; High-Low vs Candle Range Threshold %; Distance from Fast and Slow MAs Threshold %. - Results are displayed in a Table on the chart, based on the currently visible start and end dates. Functionality - The indicator aims to confirm trend changes through timely Buy/Sell signals. - It uses two Moving Averages and Bollinger Bands, combined with filters such as BB Lookback, -- The variable settings have been tested with a mix of manual and AI testing to find the optimal configuration. You can adjust the variables to suit your goals. - The design is simple, with clear parameters and instant readability of Buy/Sell Signals on the chart and in the Table results, without complex interpretation needed. - It works effectively by requiring both trend confirmation and volatility control management. - Signals are timed to be as accurate as possible, avoiding futile weak or false ones. - A Table shows the effectiveness of the signals on the current visible chart, providing immediate, realistic feedback. The Buy & Hold strategy results are also included for comparison with the Buy/Sell swing strategy. The Buy & Hold results start from the first Buy signal to ensure a fair comparison. - Changing the parameters instantly updates the Table, giving a quick, at-a-glance performance check. Caution - No technical tool is perfect; it cannot predict disasters, wars, or the actions of large fund managers or short sellers. - After testing thousands of TradingView indicators over 24 years, I’ve found none to be 100% accurate all the time. - This Buy/Sell Signals indicator may outperform some others but is still not perfect. So, just be aware, and don’t be fooled by this tool.
Wskaźnik Pine Script®
od Wyn-Trader
Buy/Sell Hull Crossover Signals (Fast & Slow)This indicator generates buy and sell signals using fast- and slow-period Hull Moving Averages (HMAs). A bullish signal occurs when the fast HMA crosses above the slow HMA, while a bearish signal triggers when it crosses below. To reduce repainting, you can optionally require confirmation on bar close. The script includes visual tools such as a color-shifting ribbon between HMAs, optional background shading to show market regime, and lightweight buy/sell labels for quick signal recognition. Alerts are built in so you can automate notifications when crossover conditions occur. Designed to be simple, responsive, and easy to layer into existing strategies, this indicator helps traders spot momentum shifts and trend transitions with clarity.
Wskaźnik Pine Script®
od VibeAlgos
McMillan Volatility Bands (MVB) – with Entry Logic// McMillan Volatility Bands (MVB) with signal + entry logic // Author: ChatGPT for OneRyanAlexander // Notes: // - Bands are computed using percentage volatility (log returns), per the Black‑Scholes framing. // - Inner band (default 3σ) and outer band (default 4σ) are configurable. // - A setup occurs when price closes outside the outer band, then closes back within the inner band. // The bar that re‑enters is the "signal bar." We then require price to trade beyond the signal bar's // extreme by a user‑defined cushion (default 0.34 * signal bar range) to confirm entry. // - Includes alertconditions for both setups and confirmed entries.
Wskaźnik Pine Script®
od ryan.rybarczyk
BUY/SELL/R/BBuy/Sell/R/B by SeanKidd Purpose: A clean, anchored signal system combining StochRSI crossovers, CVI top/bottom detection, and a MACD direction line that moves with price. ⚙️ How It Works BUY / SELL – Generated from a higher-timeframe StochRSI crossover. BUY (Green) → %K crosses above %D SELL (Red) → %K crosses below %D R (Reverse) – Yellow “R” appears above the candle when the CVI model detects a local top or exhaustion point. B (Bottom) – Blue “B” appears below the candle when CVI detects a local bottom. MACD Direction Line – Green = MACD above Signal → bullish momentum Red = MACD below Signal → bearish momentum The line rides just above the candles, offset by ATR so it always tracks price. 🧭 How to Use It Add the indicator: Search for Buy/Sell/R/B by SeanKidd under Community Scripts. Click ★ to favorite it. Apply it to your chart. Open ⚙️ Settings → Inputs Calculation Timeframe (StochRSI) → pick how fast or slow you want signals (default Weekly). MACD Line Offset (ATR ×) → raise or lower the MACD line if it overlaps candles. Adjust Top/Bottom thresholds to control how often R/B appear. Toggle Highlight bars or Color candles for visual clarity. Go to Settings → Scales and ensure it’s set to ✅ “Scale with Price Chart” or ✅ same scale side as the candles. This keeps everything perfectly attached to the chart. Optional: Add alerts Create → Alert → Condition → Buy/Sell/R/B by SeanKidd Choose: SRSI BUY, SRSI SELL, Top (R), or Bottom (B). 📈 Reading the Chart Marker Meaning Color Position BUY StochRSI %K cross above %D Lime Below bar SELL StochRSI %K cross below %D Red Above bar R CVI-detected top / reversal Yellow Above bar B CVI-detected bottom Blue Below bar Line MACD momentum direction Green/Red Above highs 💡 Tips Works on any symbol or timeframe. Slower charts (Daily–Weekly) give cleaner swing signals. Faster charts (15m–1h) show short-term reversals. Combine the MACD line direction with BUY/SELL for stronger confirmation.
Wskaźnik Pine Script®
od Seankidd
1
Quantum Fluxtrend [CHE] Quantum Fluxtrend — A dynamic Supertrend variant with integrated breakout event tracking and VWAP-guided risk management for clearer trend decisions. Summary The Quantum Fluxtrend builds on traditional Supertrend logic by incorporating a midline derived from smoothed high and low values, creating adaptive bands that respond to market range expansion or contraction. This results in fewer erratic signals during volatile periods and smoother tracking in steady trends, while an overlaid event system highlights breakout confirmations, potential traps, or continuations with visual lines, labels, and percentage deltas from the close. Users benefit from real-time VWAP calculations anchored to events, providing dynamic stop-loss suggestions to help manage exits without manual adjustments. Overall, it layers signal robustness with actionable annotations, reducing noise in fast-moving charts. Motivation: Why this design? Standard Supertrend indicators often generate excessive flips in choppy conditions or lag behind in low-volatility drifts, leading to whipsaws that erode confidence in trend direction. This design addresses that by centering bands around a midline that reflects recent price spreads, ensuring adjustments are proportional to observed variability. The added event layer captures regime shifts explicitly, turning abstract crossovers into labeled milestones with trailing VWAP for context, which helps traders distinguish genuine momentum from fleeting noise without over-relying on raw price action. What’s different vs. standard approaches? - Baseline reference: Diverges from the classic Supertrend, which uses average true range for fixed offsets from a median price. - Architecture differences: - Bands form around a central line averaged from smoothed highs and lows, with offsets scaled by half the range between those smooths. - Regime direction persists until a clear breach of the prior opposite band, preventing premature reversals. - Event visualization draws persistent lines from flip points, updating labels based on price sustainment relative to the trigger level. - VWAP resets at each event, accumulating volume-weighted prices forward for a trailing reference. - Practical effect: Charts show fewer direction changes overall, with color-coded annotations that evolve from initial breakout to continuation or trap status, making it easier to spot sustained moves early. VWAP lines provide a volume-informed anchor that curves with price, offering visual cues for adverse drifts. How it works (technical) The process starts by smoothing high and low prices over a user-defined period to form upper and lower references. A midline sits midway between them, and half the spread acts as a base for band offsets, adjusted by a multiplier to widen or narrow sensitivity. On each bar, the close is checked against the previous bar's opposite band: crossing above expands the lower band downward in uptrends, or below contracts the upper band upward in downtrends, creating a ratcheting effect that locks in direction until breached. Persistent state tracks the current regime, seeding initial bands from the smoothed values if no prior data exists. Flips trigger new horizontal lines at the breach level, styled by direction, alongside labels that monitor sustainment—price holding above for up-flips or below for down-flips keeps the regime, while reversal flags a trap. Separately, at each flip, a dashed VWAP line initializes at the breach price and extends forward, accumulating the product of typical prices and volumes divided by total volume. This yields a curving reference that updates bar-by-bar. Warnings activate if price strays adversely from this VWAP, tinting the background for quick alerts. No higher timeframe data is pulled, so all computations run on the chart's native resolution, avoiding lookahead biases unless repainting is enabled via input. Parameter Guide SMA Length — Controls smoothing of highs and lows for midline and range base; longer values dampen noise but increase lag. Default: 20. Trade-offs: Shortens responsiveness in trends (e.g., 10–14) but risks more flips; extend to 30+ for stability in ranging markets. Multiplier — Scales band offsets from the half-range; higher amplifies to capture bigger swings. Default: 1.0. Trade-offs: Above 1.5 widens for volatile assets, reducing false signals; below 0.8 tightens for precision but may miss subtle shifts. Show Bands — Toggles visibility of basic and adjusted band lines for reference. Default: false. Tip: Enable briefly to verify alignment with price action. Show Background Color — Displays red tint on VWAP adverse crosses for visual warnings. Default: false. Trade-offs: Helps in live monitoring but can clutter clean charts. Line Width — Sets thickness for event and VWAP lines. Default: 2. Tip: Thicker (3–5) for emphasis on key levels. +Bars after next event — Extends old lines briefly before cleanup on new flips. Default: 20. Trade-offs: Longer preserves history (40+) at resource cost; shorter keeps charts tidy. Allow Repainting — Permits live-bar updates for smoother real-time view. Default: false. Tip: Disable for backtest accuracy. Extension 1 Settings (Show, Width, Size, Decimals, Colors, Alpha) — Manages dotted connector from event label to current close, showing percentage change. Defaults: Shown, width 2, normal size, 2 decimals, lime/red for gains/losses, gray line, 90% transparent background. Trade-offs: Fewer decimals for clean display; adjust alpha for readability. Extension 2 Settings (Show, Method, Stop %, Ticks, Decimals, Size, Color, Inherit, Alpha) — Positions stop label at VWAP end, offset by percent or ticks. Defaults: Shown, percent method, 1.0%, 20 ticks, 4 decimals, normal size, white text, inherit tint, 0% alpha. Trade-offs: Percent for proportional risk; ticks for fixed distance in tick-based assets. Alert Toggles — Enables notifications for breakouts, continuations, traps, or VWAP warnings. All default: true. Tip: Layer with chart alerts for multi-condition setups. Reading & Interpretation The main Supertrend line colors green for up-regimes (price above lower band) and red for down (below upper band), serving as a dynamic support/resistance trail. Flip shapes (up/down triangles) mark regime changes at band breaches. Event lines extend horizontally from flips: green for bull, red for bear. Labels start blank and update to "Bull/Bear Cont." if price sustains the direction, or "Trap" if it reverses, with colors shifting lime/red/gray accordingly. A dotted vertical links the trailing label to the current close, mid-labeled with the percentage delta (positive green, negative red). VWAP dashes yellow (bull) or orange (bear) from the event, curving to reflect volume-weighted average. At its end, a left-aligned label shows suggested stop price, annotated with offset details. Background red hints at weakening if price crosses VWAP opposite the regime. Deltas near zero suggest consolidation; widening extremes signal momentum buildup or exhaustion. Practical Workflows & Combinations - Trend following: Enter long on green flip shapes confirmed by higher highs, using the event line as initial stop below. Trail stops to VWAP for bull runs, exiting on trap labels or red background warnings. Filter with volume spikes to avoid low-conviction breaks. - Exits/Stops: Conservative: Set hard stops at suggested SL labels. Aggressive: Hold through minor traps if delta stays positive, but cut on regime flip. Pair with momentum oscillators for overbought pullbacks. - Multi-asset/Multi-TF: Defaults suit forex/stocks on 15m–4H; for crypto, bump multiplier to 1.5 for volatility. Scale SMA length proportionally across timeframes (e.g., double for daily). Combine with structure tools like Fibonacci for confluence on event lines. Behavior, Constraints & Performance Live bars update lines and labels dynamically if repainting is allowed, but signals confirm on close for stability—flips only trigger post-bar. No higher timeframe calls, so no inherent lookahead, though volume weighting assumes continuous data. Resources cap at 1000 bars back, 50 lines/labels max; events prune old ones on new flips to stay under budget, with brief extensions for visibility. Arrays or loops absent, keeping it lightweight. Known limits include lag in extreme gaps (e.g., overnight opens) where bands may not adjust instantly, and VWAP sensitivity to sparse volume in illiquid sessions. Sensible Defaults & Quick Tuning Start with SMA 20, multiplier 1.0 for balanced response across majors. For choppy pairs: Lengthen SMA to 30, multiplier 0.8 to tighten bands and cut flips. For trending equities: Shorten to 14, multiplier 1.2 for quicker entries. If traps dominate, enable bands to inspect range compression; for sluggish signals, reduce extension bars to focus on recent events. What this indicator is—and isn’t This serves as a visualization and signal layer for trend regimes and breakouts, highlighting sustainment via annotations and risk cues through VWAP—ideal atop price action for confirmation. It is not a standalone system, predictive oracle, or risk calculator; always integrate with broader analysis, position sizing, and stops. Use responsibly as an educational tool. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Wskaźnik Pine Script®
od chervolino
PDB - RSI Based Buy/Sell signals with 4 MARSI Based Buy/Sell Signals on Price chart + 4 MA System This indicator plots RSI-based Buy & Sell signals directly on the price chart , combined with a 4-Moving-Average trend filter (20/50/100/200) for higher accuracy and cleaner trade timing. The signal triggers when RSI reaches user-defined overbought/oversold levels, but unlike a standard RSI, this version plots the signals **on the chart**, not in the RSI window — making entries and exits easier to see in real time. RSI Levels Are Fully Customizable The default RSI thresholds are 30 (oversold) and 70 (overbought). However, you can adjust these to fit your trading style. For example: > When day trading on the 5–15 min timeframe, I personally use 35 (oversold) and 75 (overbought) to catch moves earlier. > The example shown in the preview image uses 10-minute timeframe settings. You can change the RSI levels to trigger signals from **any value you choose**, allowing you to tailor the indicator to scalping, day trading, or swing trading. 4 Moving Averages Included: 20, 50, 100, 200 MAs act as dynamic trend filters so you can: ✔ trade signals only in the direction of trend ✔ avoid false reversals ✔ identify momentum shifts more clearly Works on all markets and timeframes — crypto, stocks, FX, indices.
Wskaźnik Pine Script®
od PrintDemBandz
Buy/Sell Signals [WynTrader]My name is WynTrader. I cumulate 24 years of experience. This Indicator produces Buy/Sell Signals using these features: - Fast and Slow Moving averages (modifiable) optimized at EMA-8 and SMA-35 - Bollinger Bands (modifiable) optimized at Basis-18 and Multiplier-1 Also, the Buy/Sell Signals are conditioned by three Filters (optionable, modifiable) : . Bollinger-Bands Lookback . High-Low vs Candle Range % . Distance from Fast and Slow Moving averages % The Results Calculation presented in a Table are based : - on the Current Chart Visible Range (optionable) or - on the specified TIme Frame Start and End Dates (modifiable) The Table shows Calculation Results of the Buy and Sell Signals that are activated on the chart, with the Number of Trades (Signals), the Winning Points and the Win Rate %. The Buy&Hold starts calculation at the first Buy encountered. So be surprised by my Buy/Sell Indicator. But always remember that the world is not perfect. The Graal Indicator, even with AI, doesn't already exist, maybe one day (all of us richier...), but not now. , depending on the chart product (stocks...), volatility, probabilities, unpredictable behaviour. , the moves, etc. Enjoy WynTrader P. s. : My name is WynTrader. I cumulate 24 years of experience. In 2001, I took an intensive technical analysis course taught by an exceptional friend, Cyril, who taught me everything I know. The foundation I gained through his teaching remains solid and relevant to this day, never failing me. Before i made this Indicator, I have used many Trading View Buy/Sell Indicators using alone or combined RSI, SMI, OBV, MACD ATR, ADX, Neural, Fractal, Geometry, etc., that are already available for the Trading View community. A great thanks to those who give their time that help me build this tool. Note that I'm not a programmer, so... ;-)
Wskaźnik Pine Script®
od Wyn-Trader
5
BUY & SELL Probability (M5..D1) - MTFMTF Probability Indicator (M5 to D1) Indicator — Dual Histogram with Buy/Sell Labels This indicator is designed to provide a probabilistic bias for bullish or bearish conditions by combining three different analytical components across multiple timeframes. The goal is to reduce noise from single-indicator signals and instead highlight confluence where trend, momentum, and strength agree. Why this combination is useful - EMA(200) Trend Filter: Identifies whether price is trading above or below a widely used long-term moving average. - MACD Momentum: Detects short-term directional momentum through line crossovers. - ADX Strength: Measures how strong the trend is, preventing signals in weak or flat markets. By combining these, the indicator avoids situations where one tool signals a trade but others do not, helping to filter out low-probability setups. How it works - Each timeframe (M5, M15, H1, H4, D1) generates its own trend, momentum, and strength score. - Scores are weighted according to user-defined importance and then aggregated into a single probability. - Proximity to recent support and resistance levels can adjust the final score, accounting for nearby barriers. - The final probability is displayed as: - Histogram (subwindow): Green bars for bullish probability >50%, red bars for bearish <50%. - On-chart labels: Showing exact buy/sell percentages on the last bar for quick reference. Inputs - EMA length (default 200), MACD settings, ADX period. - Weights for each timeframe and component (trend, momentum, strength). - Optional boost for the chart’s current timeframe. - Smoothing length for probability values. - Lookback period for support/resistance adjustment. How to use it - A green histogram above zero indicates bullish probability >50%. - A red histogram below zero indicates bearish probability >50%. - Neutral readings near 50% show low confluence and may be best avoided. - Users can adjust weights to emphasize higher or lower timeframes, depending on their trading style. Notes - This script does not guarantee profitable trades. - Best used together with price action, volume, or additional confirmation tools. - Signals are calculated only on closed bars to avoid repainting. - For testing and learning purposes — not financial advice.
Wskaźnik Pine Script®
od DenizTheTrader
Cumulative Volume Delta (SB-1) 2.0 📈 Cumulative Volume Delta (CVD) — Stair-Step + Threshold Alerts 🔍 Overview This Cumulative Volume Delta (CVD) tool visualizes aggressive buying and selling pressure in the market by plotting candlestick-style bars based on volume delta. It helps traders understand which side — buyers or sellers — is exerting more control on lower timeframes and highlights momentum shifts through stair-step patterns and delta threshold breaks. Resets to zero at EOD Ideal for futures traders, scalpers, and intraday strategists looking for orderflow-based confirmation. 🧠 What Is CVD? CVD (Cumulative Volume Delta) measures the difference between market buys and sells over a specific timeframe. When the delta is rising, it suggests buyers are being more aggressive. Falling delta suggests seller dominance. This script aggregates volume delta from a lower timeframe and plots it in a higher timeframe context, allowing you to track microstructure shifts within larger candles. 📊 Features ✅ CVD Candlesticks Each bar represents volume delta as an OHLC-style candle using: Open: Delta at the start of the bar High/Low: Peak delta range Close: Final delta value at bar close Teal candles = Net buying pressure Red candles = Net selling pressure ✅ Threshold Levels (Key Visual Zones) The script includes horizontal dashed lines at: +5,000 and +10,000 → Signify strong buying pressure -5,000 and -10,000 → Signify strong selling pressure 0 line → Neutrality line (no net pressure) These levels act as volume-based support/resistance zones and breakout confirmation tools. For example: A CVD cross above +5,000 shows buyers taking control A CVD cross above +10,000 implies strong bullish momentum A CVD cross below -5,000 or -10,000 signals intense selling pressure 📈 Stair-Step Pattern Detection Detects two specific volume-based continuation setups: Bullish Stair-Step: Both the high and low of the CVD candle are higher than the previous candle Bearish Stair-Step: Both the high and low of the CVD candle are lower than the previous candle These patterns often appear during trending moves and serve as confirmation of strength or continuation. Visual markers: 🟢 Green triangles below bars = Bullish stair-step 🔴 Red triangles above bars = Bearish stair-step 🔔 Alert Conditions Get real-time alerts when: Bullish Stair-Step is detected Bearish Stair-Step is detected CVD crosses above +5,000 CVD crosses below -5,000 📢 Alerts only trigger on crossover, not every time CVD remains above or below. This avoids repetitive notifications. ⚙️ Inputs & Customization Anchor Timeframe: The higher timeframe to which CVD data is applied (default: 1D) Lower Timeframe: The timeframe used to calculate the CVD delta (default: 5 minutes) Optional Override: Use custom timeframe toggle to force your own micro timeframe 📌 How to Use This CVD Indicator (Step-by-Step Guide) ✅ 1. Confirm Bias Using the Zero Line The zero line (0 CVD) represents neutral pressure — neither buyers nor sellers are dominating. Use it as your first filter: 🔼 If CVD is above 0 and rising → Buyer control 🔽 If CVD is below 0 and falling → Seller control 🧠 Tip: CVD rising while price is consolidating may signal hidden buyer interest. ✅ 2. Watch for Crosses of Key Levels: +5,000 and +10,000 These levels act as momentum thresholds: Level Signal Type What It Means +5,000 Buyer breakout Buyers are starting to dominate +10,000 Strong bull bias Strong institutional or algorithmic buying flow -5,000 Seller breakout Sellers are taking control -10,000 Strong bear bias Heavy selling pressure is entering the market Wait for CVD to cross above +5K or below -5K to confirm the active side. Use these crossovers as entry triggers, breakout confirmations, or trade filters. 🔔 Alerts fire only when the level is first crossed, not every bar above/below. ✅ 3. Use Stair-Step Patterns for Continuation Confirmation The indicator shows stair-step patterns using triangle signals: 🟢 Green triangle below bar = Bullish stair-step Suggests a higher high and higher low in delta → buyers stepping up 🔴 Red triangle above bar = Bearish stair-step Suggests lower highs and lower lows in delta → selling pressure building Use stair-step signals: To confirm a continuation of trend As an entry or add-on signal Especially after a threshold breakout 🧠 Example: If CVD breaks above +5K and forms bullish stairs → confirms strong trend, ideal for momentum entries. ✅ 4. Combine with Price Action or Structure CVD works best when used with price, not in isolation. For example: 📉 Price makes a new low but CVD doesn’t → potential bullish divergence 📈 CVD surges while price lags → buyers are absorbing, breakout likely Use it with: VWAP Orderblocks Liquidity sweeps Break of market structure/MSS/BOS ✅ 5. Set Anchor Timeframe = Daily Set Lower Timeframe = 5 minutes (default) This lets you: See intraday flow inside daily bars Confirm whether a daily candle is being built on net buying or selling 🧠 You’re essentially seeing intra-bar aggression within a bigger time structure. 🧭 Example Trading Setup Bullish Scenario: CVD is rising and above 0 CVD crosses above +5,000 → alert fires Green stair-step appears Price breaks local resistance or liquidity sweep completes ✅ Consider long entry with structure and CVD alignment 🎯 Place stops below last stair-step or structural low 📌 Final Notes This tool does not repaint and is designed to work in real-time across all futures, crypto, and equity instruments that support volume data. If your symbol does not provide volume, the script will notify you. Use it in confluence with VWAP, liquidity zones, or structure breaks for high-confidence trades.
Wskaźnik Pine Script®
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