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Smart Money Concepts Probability (Expo) RitSmart Money Concepts Probability (Expo) — v2 Overview This indicator maps market structure using confirmed swing pivots and quantifies the follow-through of SMC events—CHoCH, SMS, and BMS—as real-time probabilities. It adds robust filters (ATR swing size, multi-timeframe bias) and statistically honest display (Laplace smoothing and Wilson confidence bands) to reduce noise and make the stats you see on the chart closer to what actually plays out. How it works Detects confirmed swing highs/lows with ta.pivothigh/ta.pivotlow. Tracks a structure state machine: bias flips to CHoCH (±1), confirms to SMS (±2), then BMS/continuations (>|±2|). Logs every transition as a success (continuation) or failure (reversion) and computes: Raw Win%, Laplace-smoothed probability, and Wilson confidence interval. Draws Premium/Discount/Mid zones between the latest swing high/low and shows contextual probability labels at the extremes. Filters & Upgrades ATR swing filter: ignores tiny breaks; only counts pivots that exceed a user-set multiple of ATR. MTF bias gate: only allows bullish sequences when price is above an HTF moving average (and vice-versa). Label throttle: minimum bar spacing between plotted events to keep charts readable. Response vs. Period: choose short-term or long-term structure resolution. Outputs & Visuals On-chart labels/lines for CHoCH/SMS/BMS (bull/bear colors). Top-right table with Wins, Losses, Profitability, Laplace p̂, and Wilson CI (with sample-size guard). Probability labels near current Up/Dn extremes. Optional alerts containing ticker, timeframe, and the current probability summary. Using the stats Profitability = all-time raw follow-through rate. Laplace p̂ stabilizes small-N swings. Wilson CI shows a conservative range; the lower bound is a practical “floor.” For best results, align entries with MTF bias, ensure swings pass the ATR filter, and favor entries in Discount (for longs) / Premium (for shorts) when the structure agrees. Notes This is an analytical tool, not a signal service. Always validate on your markets/timeframes and combine with risk management.
Pine Script® Indikator
von yuji52289
Cumulative Returns by Session [BackQuant]Cumulative Returns by Session What this is This tool breaks the trading day into three user-defined sessions and tracks how much each session contributes to return, volatility, and volume. It then aggregates results over a rolling window so you can see which session has been pulling its weight, how streaky each session has been, and how sessions relate to one another through a compact correlation heatmap. We’ve also given the functionality for the user to use a simplified table, just by switching off all settings they are not interested in. How it works 1) Session segmentation You define APAC, EU, and US sessions with explicit hours and time zones. The script detects when each session starts and ends on every intraday bar and records its open, intraday high and low, close, and summed volume. 2) Per-session math At each session end the script computes: Return — either Percent: (Close−Open)÷Open×100(Close − Open) ÷ Open × 100(Close−Open)÷Open×100 or Points: (Close−Open)(Close − Open)(Close−Open), based on your selection. Volatility — either Range: (High−Low)÷Open×100(High − Low) ÷ Open × 100(High−Low)÷Open×100 or ATR scaled by price: ATR÷Open×100ATR ÷ Open × 100ATR÷Open×100. Volume — total volume transacted during that session. 3) Storage and lookback Each day’s three session stats are stored as a row. You choose how many recent sessions to keep in memory. The script then: Builds cumulative returns for APAC, EU, US across the lookback. Computes averages, win rates, and a Sharpe-like ratio avgreturn÷avgvolatilityavg return ÷ avg volatilityavgreturn÷avgvolatility per session. Tracks streaks of positive or negative sessions to show momentum. Tracks drawdowns on cumulative returns to show worst runs from peak. Computes rolling means over a short window for short-term drift. 4) Correlation heatmap Using the stored arrays of session returns, the script calculates Pearson correlations between APAC–EU, APAC–US, and EU–US, and colors the matrix by strength and sign so you can spot coupling or decoupling at a glance. What it plots Three lines: cumulative return for APAC, EU, US over the chosen lookback. Zero reference line for orientation. A statistics table with cumulative %, average %, positive session rate, and optional columns for volatility, average volume, max drawdown, current streak, return-to-vol ratio, and rolling average. A small correlation heatmap table showing APAC, EU, US cross-session correlations. How to use it Pick the asset — leave Custom Instrument empty to use the chart symbol, or point to another symbol for cross-asset studies. Set your sessions and time zones — defaults approximate APAC, EU, and US hours, but you can align them to exchange times or your workflow. Choose calculation modes — Percent vs Points for return, Range vs ATR for volatility. Points are convenient for futures and fixed-tick assets, Percent is comparable across symbols. Decide the lookback — more sessions smooths lines and stats; fewer sessions makes the tool more reactive. Toggle analytics — add volatility, volume, drawdown, streaks, Sharpe-like ratio, rolling averages, and the correlation table as needed. Why session attribution helps Different sessions are driven by different flows. Asia often sets the overnight tone, Europe adds liquidity and direction changes, and the US session can dominate range expansion. Separating contributions by session helps you: Identify which session has been the main driver of net trend. Measure whether volatility or volume is concentrated in a specific window. See if one session’s gains are consistently given back in another. Adapt tactics: fade during a mean-reverting session, press during a trending session. Reading the tables Cumulative % — sum of session returns over the lookback. The sign and slope tell you who is carrying the move. Avg Return % and Positive Sessions % — direction and hit rate. A low average but high hit rate implies many small moves; the reverse implies occasional big swings. Avg Volatility % — typical intrabars range for that session. Compare with Avg Return to judge efficiency. Return/Vol Ratio — return per unit of volatility. Higher is better for stability. Max Drawdown % — worst cumulative give-back within the lookback. A quick way to spot riskiness by session. Current Streak — consecutive up or down sessions. Useful for mean-reversion or regime awareness. Rolling Avg % — short-window drift indicator to catch recent turnarounds. Correlation matrix — green clusters indicate sessions tending to move together; red indicates offsetting behavior. Settings overview Basic Number of Sessions — how many recent days to include. Custom Instrument — analyze another ticker while staying on your current chart. Session Configuration and Times Enable or hide APAC, EU, US rows. Set hours per session and the specific time zone for each. Calculation Methods Return Calculation — Percent or Points. Volatility Calculation — Range or ATR; ATR Length when applicable. Advanced Analytics Correlation, Drawdown, Momentum, Sharpe-like ratio, Rolling Statistics, Rolling Period. Display Options and Colors Show Statistics Table and its position. Toggle columns for Volatility and Volume. Pick individual colors for each session line and row accents. Common applications Session bias mapping — find which window tends to trend in your market and plan exposure accordingly. Strategy scheduling — allocate attention or risk to the session with the best return-to-vol ratio. News and macro awareness — see if correlation rises around central bank cycles or major data releases. Cross-asset monitoring — set the Custom Instrument to a driver (index future, DXY, yields) to see if your symbol reacts in a particular session. Notes This indicator works on intraday charts, since sessions are defined within a day. If you change session clocks or time zones, give the script a few bars to accumulate fresh rows. Percent vs Points and Range vs ATR choices affect comparability across assets, so be consistent when comparing symbols. Session context is one of the simplest ways to explain a messy tape. By separating the day into three windows and scoring each one on return, volatility, and consistency, this tool shows not just where price ended up but when and how it got there. Use the cumulative lines to spot the steady driver, read the table to judge quality and risk, and glance at the heatmap to learn whether the sessions are amplifying or canceling one another. Adjust the hours to your market and let the data tell you which session deserves your focus.
Pine Script® Indikator
von BackQuant
Stocks Multi-Indicator Alerts (cryptodaddy)//@version=6 // Multi-Indicator Alerts // -------------------------------------------- // This script combines technical indicators and basic analyst data // to produce composite buy and sell signals. Each block is heavily // commented so future modifications are straightforward. indicator("Multi-Indicator Alerts", overlay=true, max_labels_count=500) //// === Daily momentum indicators === // Relative Strength Index measures price momentum. rsiLength = input.int(14, "RSI Length") rsi = ta.rsi(close, rsiLength) // Money Flow Index incorporates volume to track capital movement. // In Pine Script v6 the function only requires a price source and length; // volume is taken from the built-in `volume` series automatically. mfLength = input.int(14, "Money Flow Length") mf = ta.mfi(hlc3, mfLength) // `mfUp`/`mfDown` flag a turn in money flow over the last two bars. mfUp = ta.rising(mf, 2) mfDown = ta.falling(mf, 2) //// === WaveTrend oscillator === // A simplified WaveTrend model produces "dots" indicating potential // exhaustion points. Values beyond +/-53 are treated as oversold/overbought. n1 = input.int(10, "WT Channel Length") n2 = input.int(21, "WT Average Length") ap = hlc3 // typical price esa = ta.ema(ap, n1) // smoothed price d = ta.ema(math.abs(ap - esa), n1) // smoothed deviation ci = (ap - esa) / (0.015 * d) // channel index tci = ta.ema(ci, n2) // trend channel index wt1 = tci // main line wt2 = ta.sma(wt1, 4) // signal line greenDot = ta.crossover(wt1, wt2) and wt1 < -53 redDot = ta.crossunder(wt1, wt2) and wt1 > 53 plotshape(greenDot, title="Green Dot", style=shape.circle, color=color.green, location=location.belowbar, size=size.tiny) plotshape(redDot, title="Red Dot", style=shape.circle, color=color.red, location=location.abovebar, size=size.tiny) //// === Analyst fundamentals === // Fundamental values from TradingView's database. If a ticker lacks data // these will return `na` and the related conditions simply evaluate false. rating = request.financial(syminfo.tickerid, "rating", period="FY") targetHigh = request.financial(syminfo.tickerid, "target_high_price", period="FY") targetLow = request.financial(syminfo.tickerid, "target_low_price", period="FY") upsidePct = (targetHigh - close) / close * 100 downsidePct = (close - targetLow) / close * 100 // `rating` comes back as a numeric value (1 strong sell -> 5 strong buy). Use // thresholds instead of string comparisons so the script compiles even when // the broker only supplies numeric ratings. ratingBuy = rating >= 4 // buy or strong buy ratingNeutralOrBuy = rating >= 3 // neutral or better upsideCondition = upsidePct >= 2 * downsidePct // upside at least twice downside downsideCondition = downsidePct >= upsidePct // downside greater or equal //// === Daily moving-average context === // 50 EMA represents short-term trend; 200 EMA long-term bias. ema50 = ta.ema(close, 50) ema200 = ta.ema(close, 200) longBias = close > ema200 // price above 200-day = long bias momentumFavorable = close > ema50 // price above 50-day = positive momentum //// === Weekly trend filter === // Higher timeframe confirmation to reduce noise. weeklyClose = request.security(syminfo.tickerid, "W", close) weeklyEMA20 = request.security(syminfo.tickerid, "W", ta.ema(close, 20)) weeklyRSI = request.security(syminfo.tickerid, "W", ta.rsi(close, rsiLength)) // Weekly Money Flow uses the same two-argument `ta.mfi()` inside `request.security`. weeklyMF = request.security(syminfo.tickerid, "W", ta.mfi(hlc3, mfLength)) weeklyFilter = weeklyClose > weeklyEMA20 //// === Buy evaluation === // Each true condition contributes one point to `buyScore`. c1_buy = rsi < 50 // RSI below midpoint c2_buy = mfUp // Money Flow turning up c3_buy = greenDot // WaveTrend oversold bounce c4_buy = ratingBuy // Analyst rating Buy/Strong Buy c5_buy = upsideCondition // Forecast upside twice downside buyScore = (c1_buy?1:0) + (c2_buy?1:0) + (c3_buy?1:0) + (c4_buy?1:0) + (c5_buy?1:0) // Require all five conditions plus trend filters and persistence for two bars. buyCond = c1_buy and c2_buy and c3_buy and c4_buy and c5_buy and longBias and momentumFavorable and weeklyFilter and weeklyRSI > 50 and weeklyMF > 50 buySignal = buyCond and buyCond //// === Sell evaluation === // Similar logic as buy side but inverted. c1_sell = rsi > 70 // RSI above overbought threshold c2_sell = mfDown // Money Flow turning down c3_sell = redDot // WaveTrend overbought reversal c4_sell = ratingNeutralOrBuy // Analysts neutral or still buy c5_sell = downsideCondition // Downside at least equal to upside sellScore = (c1_sell?1:0) + (c2_sell?1:0) + (c3_sell?1:0) + (c4_sell?1:0) + (c5_sell?1:0) // For exits require weekly filters to fail or long bias lost. sellCond = c1_sell and c2_sell and c3_sell and c4_sell and c5_sell and (not longBias or not weeklyFilter or weeklyRSI < 50) sellSignal = sellCond and sellCond // Plot composite scores for quick reference. plot(buyScore, "Buy Score", color=color.green) plot(sellScore, "Sell Score", color=color.red) //// === Confidence table === // Shows which of the five buy/sell checks are currently met. var table status = table.new(position.top_right, 5, 2, border_width=1) if barstate.islast table.cell(status, 0, 0, "RSI", bgcolor=c1_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 1, 0, "MF", bgcolor=c2_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 2, 0, "Dot", bgcolor=c3_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 3, 0, "Rating", bgcolor=c4_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 4, 0, "Target", bgcolor=c5_buy?color.new(color.green,0):color.new(color.red,0)) table.cell(status, 0, 1, "RSI>70", bgcolor=c1_sell?color.new(color.red,0):color.new(color.green,0)) table.cell(status, 1, 1, "MF down",bgcolor=c2_sell?color.new(color.red,0):color.new(color.green,0)) table.cell(status, 2, 1, "Red dot", bgcolor=c3_sell?color.new(color.red,0):color.new(color.green,0)) table.cell(status, 3, 1, "Rating", bgcolor=c4_sell?color.new(color.red,0):color.new(color.green,0)) table.cell(status, 4, 1, "Target", bgcolor=c5_sell?color.new(color.red,0):color.new(color.green,0)) //// === Alert text === // Include key metrics in alerts so the chart doesn't need to be opened. buyMsg = "BUY: RSI " + str.tostring(rsi, "#.##") + ", MF " + str.tostring(mf, "#.##") + ", Upside " + str.tostring(upsidePct, "#.##") + "%" + ", Downside " + str.tostring(downsidePct, "#.##") + "%" + ", Rating " + str.tostring(rating, "#.##") sellMsg = "SELL: RSI " + str.tostring(rsi, "#.##") + ", MF " + str.tostring(mf, "#.##") + ", Upside " + str.tostring(upsidePct, "#.##") + "%" + ", Downside " + str.tostring(downsidePct, "#.##") + "%" + ", Rating " + str.tostring(rating, "#.##") // Alert conditions use static messages; dynamic data is sent via `alert()` alertcondition(buySignal, title="Buy Signal", message="Buy conditions met") alertcondition(sellSignal, title="Sell Signal", message="Sell conditions met") if buySignal alert(buyMsg, alert.freq_once_per_bar_close) if sellSignal alert(sellMsg, alert.freq_once_per_bar_close) //// === Watch-out flags === // Gentle warnings when trends weaken but before full sell signals. warnRSI = rsi > 65 and rsi <= 65 warnAnalyst = upsidePct < 2 * downsidePct and upsidePct > downsidePct alertcondition(warnRSI, title="RSI Watch", message="RSI creeping above 65") alertcondition(warnAnalyst, title="Analyst Watch", message="Analyst upside shrinking") if warnRSI alert("RSI creeping above 65: " + str.tostring(rsi, "#.##"), alert.freq_once_per_bar_close) if warnAnalyst alert("Analyst upside shrinking: up " + str.tostring(upsidePct, "#.##") + "% vs down " + str.tostring(downsidePct, "#.##") + "%", alert.freq_once_per_bar_close) //// === Plot bias moving averages === plot(ema50, color=color.orange, title="EMA50") plot(ema200, color=color.blue, title="EMA200") //// === Cross alerts for context === goldenCross = ta.crossover(ema50, ema200) deathCross = ta.crossunder(ema50, ema200) alertcondition(goldenCross, title="Golden Cross", message="50 EMA crossed above 200 EMA") alertcondition(deathCross, title="Death Cross", message="50 EMA crossed below 200 EMA")
Pine Script® Indikator
von leandrobanking
عكفة الماكد المتقدمة - أبو فارس ©// 🔒 Advanced MACD Curve © 2025 // 💡 Idea & Creativity: Engineer Abu Elias // 🛠️ Development & Implementation: Abu Fares // 📜 All intellectual rights reserved - Copying, modifying, or redistributing is not permitted // 🚫 Any attempt to tamper with this code or violate intellectual property rights is legally prohibited // 📧 For inquiries and licensing: Please contact the developer, Abu Fares
Pine Script® Indikator
von ABU_FARIS
عكفة الماكد المتقدمة - أبو فارس ©// 🔒 عكفة الماكد المتقدمة © 2025 // 💡 فكرة وإبداع: المهندس أبو الياس // 🛠️ تطوير وتنفيذ: أبو فارس // 📜 جميع الحقوق الفكرية محفوظة - لا يُسمح بالنسخ أو التعديل أو إعادة التوزيع // 🚫 أي محاولة للعبث بهذا الكود أو انتهاك الحقوق الفكرية مرفوضة قانونياً // 📧 للاستفسارات والتراخيص: يرجى التواصل مع المطور أبو فارس // 🔒 Advanced MACD Curve © 2025 // 💡 Idea & Creativity: Engineer Abu Elias // 🛠️ Development & Implementation: Abu Fares // 📜 All intellectual rights reserved - Copying, modifying, or redistributing is not permitted // 🚫 Any attempt to tamper with this code or violate intellectual property rights is legally prohibited // 📧 For inquiries and licensing: Please contact the developer, Abu Fares
Pine Script® Indikator
von ABU_FARIS
Retail Sentiment Indicator - Multi-Asset CFD & Fear/Greed IndexRetail Sentiment Indicator - Multi-Asset CFD & Fear/Greed Index Overview The Retail Sentiment Indicator provides real-time sentiment data for major financial instruments including stocks, forex, commodities, and cryptocurrencies. This indicator displays retail trader positioning and market sentiment using CFD data and fear/greed indices. Methodology and Scale Calculation This indicator operates on a **-50 to +50 scale** with zero representing perfect market equilibrium. Scale Interpretation: - **Zero (0)**: Market balance - exactly 50% of investors buying, 50% selling - **Positive values**: Majority buying pressure - Example: If 63% of investors are buying, the indicator shows +13 (63 - 50 = +13) - **Negative values**: Majority selling pressure - Example: If 92% of investors are selling, the indicator shows -42 (50 - 92 = -42) BTC Fear & Greed Index Scaling: The original `BTC FEAR&GREED` index is natively scaled from 0-100 by its creator. In our indicator, this data has been rescaled to also fit the -50 to +50 range for consistency with other sentiment data sources. This unified scaling approach allows for direct comparison across all instruments and data sources within the indicator. -Important Data Source Selection- Bitcoin (BTC) Data Sources When viewing Bitcoin charts, the indicator offers **two different data sources**: 1. **Default Auto-Mode**: `BTCUSD Retail CFD` - Retail CFD traders sentiment data (automatically loaded). 2. **Manual Selection**: `BTC FEAR&GREED` - Fear & Greed Index from website: alternative dot me **To access BTC Fear & Greed Index**: Input settings -> disable checkbox "Auto-load Sentiment Data" -> manually select "BTC FEAR&GREED" from the dropdown menu. US Stock Market Data Sources For US stocks and indices (S&P 500, NASDAQ, Dow Jones), there are **two data source options**: 1. **Default Auto-Mode**: Individual retail CFD sentiment data for each instrument 2. **Manual Selection**: `SNN FEAR&GREED` - SNN's Fear & Greed Index covering the overall US market sentiment. SNN was used as the name to avoid any potential trademark infringement. **To access SNN Fear & Greed Index**: When viewing US market charts, disable in input settings checkbox "Auto-load Sentiment Data" and manually select "SNN FEAR&GREED" from the dropdown menu. This distinction allows traders to choose between **instrument-specific retail sentiment** (auto-mode) or **broader market sentiment indices** (manual selection). Features - **Auto-Detection**: Automatically loads sentiment data based on the current chart symbol - **Manual Selection**: Choose from 40+ supported instruments when auto-detection is unavailable - **Multiple Data Sources**: Combines retail CFD sentiment with Fear & Greed indices - **Visual Zones**: Clear greed/fear zones with color-coded backgrounds - **Real-time Updates**: Live sentiment data from merged data sources Supported Instruments Major Indices - S&P 500, NASDAQ, Dow Jones 30, DAX Forex Pairs - Major pairs: EURUSD, GBPUSD, USDJPY, USDCHF, USDCAD - Cross pairs: EURJPY, GBPJPY, AUDUSD, NZDUSD, and 20+ others Commodities - Precious metals: Gold (XAUUSD), Silver (XAGUSD) - Energy: WTI Oil - Agricultural: Wheat, Coffee - Industrial: Copper Cryptocurrencies - Bitcoin (BTC) sentiment data - BTC & SNN Fear & Greed indices How to Use 1. **Auto Mode** (Default): Enable "Auto-load Sentiment Data" to automatically display sentiment for the current chart symbol 2. **Manual Mode**: Disable auto-load and select from the dropdown menu for specific instruments 3. **Interpretation**: - Values above 0 (green) indicate retail greed/bullish sentiment - Values below 0 (red) indicate retail fear/bearish sentiment - Fear & Greed indices use 0-100 scale (50 is neutral) Data Sources This indicator uses curated sentiment data from retail CFD providers and established fear/greed indices. Data is updated regularly and sourced from reputable financial data providers. Trading Strategy & Market Philosophy Contrarian Trading Approach The primary purpose of this indicator is based on the fundamental market principle that **the majority of retail investors are often wrong**, and markets typically move opposite to the positions held by the majority of market participants. Key Strategy Guidelines: - **Contrarian Signal**: When the majority of users are positioned on one side of the market, there is statistically greater market advantage in taking positions in the opposite direction - **Trend Exhaustion Signal**: An interesting observed phenomenon occurs when, during a long-lasting trend where the majority of investors have consistently been on the wrong side, the Sentiment indicator suddenly shows that the majority has flipped and opened positions in the direction of that long-running trend. This is often a signal of fuel exhaustion for further movement in that direction Interpretation Examples - High greed readings (majority bullish) → Consider bearish opportunities - High fear readings (majority bearish) → Consider bullish opportunities - Sudden sentiment flip during established trends → Potential trend reversal signal Technical Notes - Built with PineScript v6 - Dynamic symbol detection with fallback options - Optimized for performance with minimal resource usage - Color-coded visualization with customizable zones Data Sources & Expansion Acknowledgments We extend our gratitude to **TradingView** for enabling the use of custom data feeds based on GitHub repositories, making this comprehensive sentiment analysis possible. Data Expansion Opportunities As the operator of this indicator, I am **open to suggestions for new data sources** that could be integrated and published. If you have ideas for additional instruments or sentiment data: How to Submit Suggestions: 1. Send a **private message** with your proposal 2. Include: **instrument/data type**, **source**, and **brief description** 3. If technically feasible, we will work to import and publish the data Data Infrastructure Status Current Data Upload Process: Please note that sentiment data uploads may occasionally experience minor interruptions. However, this should not pose significant issues as sentiment data typically changes gradually rather than rapidly. Infrastructure Development: We are actively working on establishing permanent cloud-based infrastructure to ensure continuous, automated data collection and upload processes. This will provide more reliable and consistent data availability in the future. Disclaimer This indicator is for educational and informational purposes only. Sentiment data should be used as part of a comprehensive trading strategy and not as the sole basis for trading decisions. Past performance does not guarantee future results. The contrarian approach described is a market theory and may not always produce profitable results.
Pine Script® Indikator
von OpenTrading_ai
Calculator - AOC📊 Calculator - AOC Indicator 🚀 The Calculator - AOC indicator is a powerful and user-friendly tool designed for TradingView to help traders plan and visualize trades with precision. It calculates key trade metrics, displays entry, take-profit (TP), stop-loss (SL), and liquidation levels, and provides a clear overview of risk management and potential profits. Perfect for both novice and experienced traders! 💡 ✨ Features 📈 Trade Planning: Input your Entry Price, Take Profit (TP), Stop Loss (SL), and Trade Direction (Long/Short) to visualize your trade setup on the chart. 💰 Risk Management: Set your Initial Capital and Risk per Trade (%) to calculate the optimal Position Size and Risk Amount for each trade. ⚖️ Leverage Support: Define your Leverage to compute the Required Margin and Liquidation Price, ensuring you stay aware of potential risks. 📊 Risk/Reward Ratio: Automatically calculates the Risk-to-Reward Ratio to evaluate trade profitability. 🎨 Visuals: Displays Entry, TP, SL, and Liquidation levels as lines and boxes on the chart, with customizable Line Width, Line Style, and Label Size. ✅ Trade Validation: Checks if your trade setup is valid (e.g., correct TP/SL placement) and highlights issues like potential liquidation risks with color-coded statuses (Correct ✅, Incorrect ❌, or Liquidation ⚠️). 📋 Summary Table: A clean, top-right table summarizes key metrics: Capital, Risk %, Risk Amount, Position Size, Potential Profit, Risk/Reward, Margin, Liquidation Price, Trade Status, and % to TP/SL. 🖌️ Customization: Adjust Line Extension (Bars) for how far lines extend, and choose from Solid, Dashed, or Dotted line styles for a personalized chart experience. 🛠️ How to Use Add to Chart: Apply the indicator to your TradingView chart. Configure Inputs: Accountability: Set your Initial Capital and Risk per Trade (%). Target: Enter Entry Price, TP, and SL prices. Leverage: Specify your leverage (e.g., 10x). Direction: Choose Long or Short. Display Settings: Customize Line Width, Line Style, Label Size, and Line Extension. Analyze: The indicator plots Entry, TP, SL, and Liquidation levels on the chart and displays a table with all trade metrics. Validate: Check the Trade Status in the table to ensure your setup is valid or if adjustments are needed. 🎯 Why Use It? Plan Smarter: Visualize your trade setup and understand your risk/reward profile instantly. Stay Disciplined: Precise position sizing and risk calculations help you stick to your trading plan. Avoid Mistakes: Clear validation warnings prevent costly errors like incorrect TP/SL placement or liquidation risks. User-Friendly: Intuitive visuals and a summary table make trade analysis quick and easy. 📝 Notes Ensure Entry, TP, and SL prices align with your trade direction to avoid "Incorrect" or "Liquidation" statuses. The indicator updates dynamically on the latest bar, ensuring real-time visuals. Best used with proper risk management to maximize trading success! 💪 Happy trading! 🚀📈
Pine Script® Indikator
von AlchimistOfCrypto
PDD — Pullback & Breakout Alerts (PopsStocks) • INDICATOR🟢 Trader-Friendly (simple & clear) Description: This indicator highlights pullback and breakout trade opportunities on PDD (Pinduoduo). It automatically marks pullback buy zones, breakout levels, stops, and profit targets. Signals are based on bullish reversal candles (inside pullback zones) and confirmed breakouts above resistance. Includes optional EMAs for trend context and built-in alerts, making it easy to catch setups in real time. 🔵 Technical/Backtest-Friendly (for advanced users) Description: A price-action based tool for identifying structured entries on PDD (Pinduoduo). The script plots dynamic pullback zones, breakout resistance levels, stops, and risk/reward targets. Signal logic combines candlestick reversals (bullish engulfing, hammer), volume filters, and optional higher-low buildup checks. 20/50 EMA overlays provide trend confirmation. Designed for traders who want defined rules, alert automation, and clear risk-to-reward planning.
Pine Script® Indikator
von PopsStock
PDD — Pullback & Breakout Alerts (PopsStocks) • INDICATOR🟢 Trader-Friendly (simple & clear) Description: This indicator highlights pullback and breakout trade opportunities on PDD (Pinduoduo). It automatically marks pullback buy zones, breakout levels, stops, and profit targets. Signals are based on bullish reversal candles (inside pullback zones) and confirmed breakouts above resistance. Includes optional EMAs for trend context and built-in alerts, making it easy to catch setups in real time. 🔵 Technical/Backtest-Friendly (for advanced users) Description: A price-action-based tool for identifying structured entries on PDD (Pinduoduo). The script plots dynamic pullback zones, breakout resistance levels, stops, and risk/reward targets. Signal logic combines candlestick reversals (bullish engulfing, hammer), volume filters, and optional higher-low buildup checks. 20/50 EMA overlays provide trend confirmation. Designed for traders who want defined rules, alert automation, and clear risk-to-reward planning.
Pine Script® Indikator
von PopsStock
均线趋势过滤器 (MA_trend Signal/Noise Filter)双语简介 中文： 这款指标是一个基于“信噪比”思想的终极趋势过滤器。它通过比较快速和慢速EMA均线之间的差值（即信号）与ATR（平均真实波幅，代表噪音）来判断市场趋势。只有当信号的强度超过噪音的指定倍数时，才会确认趋势的有效性。该指标可帮助交易者过滤掉噪音，精确捕捉强势趋势，避免误操作。 English: This indicator is the Ultimate Trend Filter based on the Signal-to-Noise ratio concept. It compares the difference between the fast and slow EMA (Signal) to the ATR (Noise) to determine market trends. A trend is confirmed only when the signal strength exceeds the noise by a specified multiplier. This indicator helps traders filter out noise and accurately capture strong trends, avoiding false signals.
Pine Script® Indikator
von FROST_Quant
FX Sessions (DTS)FX Sessions (DST-Safe) This indicator highlights the four main Forex trading sessions — Sydney, Tokyo, London, and New York — using the local timezone of each market. • DST handled automatically: Sessions shift correctly when London or New York move clocks forward/back. • Clear visualization: Light background shading for each session, with the London–New York overlap emphasized for peak liquidity. • Customizable: Toggle individual sessions, labels, and the on-chart legend table. • Intraday focus: Works best on lower timeframes (1m–1h) for identifying active trading hours and volatility windows. Use this tool to instantly spot when liquidity and volatility are likely to increase, so you know where to focus your trading.
Pine Script® Indikator
von PokaSasha
How to Reposition A Table CellOVERVIEW Using table functions in Pine Script is one of the most effective methods for reporting and interpreting data in a readable manner. However, the built-in capabilities for dynamically repositioning table location are limited. To extend these limitations, a small intervention to the script may be required. This indicator exemplifies how such intervention can be modeled. CONCEPTS This indicator provides comprehensive control over table positioning through several user-defined parameters that work together to create flexible display options. Text Parameters : These five string inputs allow users to define the content displayed in the table. Each parameter accepts custom text that will be displayed as separate rows within the table cell. (The relevant parameters are designed as examples. When implementing the code into your own scripts, you can use series string variables instead of the those inputs.) Horizontal Offset : This integer parameter controls the horizontal positioning of the table content. Negative values shift the table content to the left, while positive values move it to the right. The offset is multiplied by a spacing factor (currently set to 4) to provide more noticeable movement. This parameter is particularly useful when you need to avoid overlapping with other chart elements or align multiple indicators. Vertical Offset : This integer parameter manages the vertical positioning by adding line breaks above or below the content. Negative values push the content downward by adding line breaks at the beginning, while positive values elevate the content by adding line breaks at the end. This creates effective vertical spacing without affecting the table's base position. Table Position : This parameter accepts values from 1 to 9, corresponding to the standard TradingView table positions arranged in a 3x3 grid format (1-3: top row, 4-6: middle row, 7-9: bottom row). This serves as the base positioning before any offset adjustments are applied, providing users with familiar reference points for initial placement. FUNCTION The core functionality centers on the custom f_position() function, which processes text positioning based on horizontal and vertical offset values. For vertical positioning, it adds line breaks before or after content depending on the offset direction. For horizontal positioning, it splits the text by rows and adds calculated spaces to each row, maintaining proper alignment across multi-line content. The spacing uses a fixed multiplier of 4, providing good balance between precision and visible movement. ORIGINALITY & NOTES Tihs indicator, introduces a novel approach to table positioning that goes beyond TradingView's standard 9-position limitation by implementing custom offset calculations that allow pixel-level control over table placement. serves as an educational resource, demonstrating advanced Pine Script techniques for UI manipulation that can be adapted for various custom indicator developments. is particularly valuable for developers creating complex dashboard layouts or educational materials where precise positioning is crucial. The modular design of the positioning function makes it easily adaptable for other projects requiring similar functionality. I hope it helps everyone, Always combine with risk management principles and market context awareness. I hope it helps everyone. Trade as safely as possible. Best of luck!
Pine Script® Indikator
von dg_factor
Market Spiralyst [Hapharmonic]Hello, traders and creators! 👋 Market Spiralyst: Let's change the way we look at analysis, shall we? I've got to admit, I scratched my head on this for weeks, Haha :). What you're seeing is an exploration of what's possible when code meets art on financial charts. I wanted to try blending art with trading, to do something new and break away from the same old boring perspectives. The goal was to create a visual experience that's not just analytical, but also relaxing and aesthetically pleasing. This work is intended as a guide and a design example for all developers, born from the spirit of learning and a deep love for understanding the Pine Script™ language. I hope it inspires you as much as it challenged me! 🧐 Core Concept: How It Works Spiralyst is built on two distinct but interconnected engines: The Generative Art Engine: At its core, this indicator uses a wide range of mathematical formulas—from simple polygons to exotic curves like Torus Knots and Spirographs—to draw beautiful, intricate shapes directly onto your chart. This provides a unique and dynamic visual backdrop for your analysis. The Market Pulse Engine: This is where analysis meets art. The engine takes real-time data from standard technical indicators (RSI and MACD in this version) and translates their states into a simple, powerful "Pulse Score." This score directly influences the appearance of the "Scatter Points" orbiting the main shape, turning the entire artwork into a living, breathing representation of market momentum. 🎨 Unleash Your Creativity! This Is Your Playground We've included 25 preset shapes for you... but that's just the starting point ! The real magic happens when you start tweaking the settings yourself. A tiny adjustment can make a familiar shape come alive and transform in ways you never expected. I'm genuinely excited to see what your imagination can conjure up! If you create a shape you're particularly proud of or one that looks completely unique, I would love to see it. Please feel free to share a screenshot in the comments below. I can't wait to see what you discover! :) Here's the default shape to get you started: The Dynamic Scatter Points: Reading the Pulse This is where the magic happens! The small points scattered around the main shape are not just decorative; they are the visual representation of the Market Pulse Score. The points have two forms: A small asterisk (`*`): Represents a low or neutral market pulse. A larger, more prominent circle (`o`): Represents a high, strong market pulse. Here’s how to read them: The indicator calculates the Pulse Strength as a percentage (from 0% to 100%) based on the total score from the active indicators (RSI and MACD). This percentage determines the ratio of circles to asterisks. High Pulse Strength (e.g., 80-100%): Most of the scatter points will transform into large circles (`o`). This indicates that the underlying momentum is strong and It could be an uptrend. It's a visual cue that the market is gaining strength and might be worth paying closer attention to. Low Pulse Strength (e.g., 0-20%): Most or all of the scatter points will remain as small asterisks (`*`). This suggests weak, neutral, or bearish momentum. The key takeaway: The more circles you see, the stronger the bullish momentum is according to the active indicators. Watch the artwork "breathe" as the circles appear and disappear with the market's rhythm! And don't worry about the shape you choose; the scatter points will intelligently adapt and always follow the outer boundary of whatever beautiful form you've selected. How to Use Getting started with Spiralyst is simple: Choose Your Canvas: Start by going into the settings and picking a `Shape` and `Palette` from the "Shape Selection & Palette" group that you find visually appealing. This is your canvas. Tune Your Engine: Go to the "Market Pulse Engine" settings. Here, you can enable or disable the RSI and MACD scoring engines. Want to see the pulse based only on RSI? Just uncheck the MACD box. You can also fine-tune the parameters for each indicator to match your trading style. Read the Vibe: Observe the scatter points. Are they mostly small asterisks or are they transforming into large, vibrant circles? Use this visual feedback as a high-level gauge of market momentum. Check the Dashboard: For a precise breakdown, look at the "Market Pulse Analysis" table on the top-right. It gives you the exact values, scores, and total strength percentage. Explore & Experiment: Play with the different shapes and color palettes! The core analysis remains the same, but the visual experience can be completely different. ⚙️ Settings & Customization Spiralyst is designed to be highly customizable. Shape Selection & Palette: This is your main control panel. Choose from over 25 unique shapes, select a color palette, and adjust the line extension style ( `extend` ) or horizontal position ( `offsetXInput` ). scatterLabelsInput: This setting controls the total number of points (both asterisks and circles) that orbit the main shape. Think of it as adjusting the density or visual granularity of the market pulse feedback. The Market Pulse engine will always calculate its strength as a percentage (e.g., 75%). This percentage is then applied to the `scatterLabelsInput` number you've set to determine how many points transform into large circles. Example: If the Pulse Strength is 75% and you set this to `100` , approximately 75 points will become circles. If you increase it to `200` , approximately 150 points will transform. A higher number provides a more detailed, high-resolution view of the market pulse, while a lower number offers a cleaner, more minimalist look. Feel free to adjust this to your personal visual preference; the underlying analytical percentage remains the same. Market Pulse Engine: `⚙️ RSI Settings` & `⚙️ MACD Settings`: Each indicator has its own group. Enable Scoring: Use the checkbox at the top of each group to include or exclude that indicator from the Pulse Score calculation. If you only want to use RSI, simply uncheck "Enable MACD Scoring." Parameters: All standard parameters (Length, Source, Fast/Slow/Signal) are fully adjustable. Individual Shape Parameters (01-25): Each of the 25+ shapes has its own dedicated group of settings, allowing you to fine-tune every aspect of its geometry, from the number of petals on a flower to the windings of a knot. Feel free to experiment! For Developers & Pine Script™ Enthusiasts If you are a developer and wish to add more indicators (e.g., Stochastic, CCI, ADX), you can easily do so by following the modular structure of the code. You would primarily need to: Add a new `PulseIndicator` object for your new indicator in the `f_getMarketPulse()` function. Add the logic for its scoring inside the `calculateScore()` method. The `calculateTotals()` method and the dashboard table are designed to be dynamic and will automatically adapt to include your new indicator! One of the core design philosophies behind Spiralyst is modularity and scalability . The Market Pulse engine was intentionally built using User-Defined Types (UDTs) and an array-based structure so that adding new indicators is incredibly simple and doesn't require rewriting the main logic. If you want to add a new indicator to the scoring engine—let's use the Stochastic Oscillator as a detailed example—you only need to modify three small sections of the code. The rest of the script, including the adaptive dashboard, will update automatically. Here’s your step-by-step guide: #### Step 1: Add the User Inputs First, you need to give users control over your new indicator. Find the `USER INTERFACE: INPUTS` section and add a new group for the Stochastic settings, right after the MACD group. Create a new group name: `string GRP_STOCH = "⚙️ Stochastic Settings"` Add the inputs: Create a boolean to enable/disable it, and then add the necessary parameters (`%K`, `%D`, `Smooth`). Use the `active` parameter to link them to the enable/disable checkbox. // Add this code block right after the GRP_MACD and MACD inputs string GRP_STOCH = "⚙️ Stochastic Settings" bool stochEnabledInput = input.bool(true, "Enable Stochastic Scoring", group = GRP_STOCH) int stochKInput = input.int(14, "%K Length", minval=1, group = GRP_STOCH, active = stochEnabledInput) int stochDInput = input.int(3, "%D Smoothing", minval=1, group = GRP_STOCH, active = stochEnabledInput) int stochSmoothInput = input.int(3, "Smooth", minval=1, group = GRP_STOCH, active = stochEnabledInput) #### Step 2: Integrate into the Pulse Engine (The "Factory") Next, go to the `f_getMarketPulse()` function. This function acts as a "factory" that builds and configures the entire market pulse object. You need to teach it how to build your new Stochastic indicator. Update the function signature: Add the new `stochEnabledInput` boolean as a parameter. Calculate the indicator: Add the `ta.stoch()` calculation. Create a `PulseIndicator` object: Create a new object for the Stochastic, populating it with its name, parameters, calculated value, and whether it's enabled. Add it to the array: Simply add your new `stochPulse` object to the `array.from()` list. Here is the complete, updated `f_getMarketPulse()` function : // Factory function to create and calculate the entire MarketPulse object. f_getMarketPulse(bool rsiEnabled, bool macdEnabled, bool stochEnabled) => // 1. Calculate indicator values float rsiVal = ta.rsi(rsiSourceInput, rsiLengthInput) = ta.macd(close, macdFastInput, macdSlowInput, macdSignalInput) float stochVal = ta.sma(ta.stoch(close, high, low, stochKInput), stochDInput) // We'll use the main line for scoring // 2. Create individual PulseIndicator objects PulseIndicator rsiPulse = PulseIndicator.new("RSI", str.tostring(rsiLengthInput), rsiVal, na, 0, rsiEnabled) PulseIndicator macdPulse = PulseIndicator.new("MACD", str.format("{0},{1},{2}", macdFastInput, macdSlowInput, macdSignalInput), macdVal, signalVal, 0, macdEnabled) PulseIndicator stochPulse = PulseIndicator.new("Stoch", str.format("{0},{1},{2}", stochKInput, stochDInput, stochSmoothInput), stochVal, na, 0, stochEnabled) // 3. Calculate score for each rsiPulse.calculateScore() macdPulse.calculateScore() stochPulse.calculateScore() // 4. Add the new indicator to the array array indicatorArray = array.from(rsiPulse, macdPulse, stochPulse) MarketPulse pulse = MarketPulse.new(indicatorArray, 0, 0.0) // 5. Calculate final totals pulse.calculateTotals() pulse // Finally, update the function call in the main orchestration section: MarketPulse marketPulse = f_getMarketPulse(rsiEnabledInput, macdEnabledInput, stochEnabledInput) #### Step 3: Define the Scoring Logic Now, you need to define how the Stochastic contributes to the score. Go to the `calculateScore()` method and add a new case to the `switch` statement for your indicator. Here's a sample scoring logic for the Stochastic, which gives a strong bullish score in oversold conditions and a strong bearish score in overbought conditions. Here is the complete, updated `calculateScore()` method : // Method to calculate the score for this specific indicator. method calculateScore(PulseIndicator this) => if not this.isEnabled this.score := 0 else this.score := switch this.name "RSI" => this.value > 65 ? 2 : this.value > 50 ? 1 : this.value < 35 ? -2 : this.value < 50 ? -1 : 0 "MACD" => this.value > this.signalValue and this.value > 0 ? 2 : this.value > this.signalValue ? 1 : this.value < this.signalValue and this.value < 0 ? -2 : this.value < this.signalValue ? -1 : 0 "Stoch" => this.value > 80 ? -2 : this.value > 50 ? 1 : this.value < 20 ? 2 : this.value < 50 ? -1 : 0 => 0 this #### That's It! You're done. You do not need to modify the dashboard table or the total score calculation. Because the `MarketPulse` object holds its indicators in an array , the rest of the script is designed to be adaptive: The `calculateTotals()` method automatically loops through every indicator in the array to sum the scores and calculate the final percentage. The dashboard code loops through the `enabledIndicators` array to draw the table. Since your new Stochastic indicator is now part of that array, it will appear automatically when enabled! --- Remember, this is your playground! I'm genuinely excited to see the unique shapes you discover. If you create something you're proud of, feel free to share it in the comments below. Happy analyzing, and may your charts be both insightful and beautiful! 💛
Pine Script® Indikator
von hapharmonic
3
Swing Z | Zillennial Technologies Inc.Swing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align. Core Concept Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments. Trend Structure (EMA 9, 21, 50, 200) Short-term EMAs (9 & 21) detect immediate momentum shifts. Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance. Momentum & Confirmation Layer RSI measures relative strength and market conditions. MACD crossovers confirm momentum shifts and trend continuations. Volatility & Market Pressure TTM Squeeze highlights compression zones likely to precede breakouts. Volume analysis confirms conviction behind directional moves. VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks. Price Action Filters Fibonacci retracements are integrated to identify key reversal and continuation levels. Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets. Features Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins). Works effectively on swing and trend-based timeframes (1H–1D). Combines trend, momentum, volatility, and price action into a single framework. Generates clear Buy/Sell markers and integrates with TradingView alerts. How to Use Apply to a clean chart for the clearest visualization. Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation. Combine with your own stop-loss, take-profit, and position sizing rules. Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results. Disclaimer Swing Z is designed as a decision-support tool, not financial advice. All backtesting should use realistic risk, commission, and slippage assumptions. Past results do not guarantee future performance. Signals do not repaint but may adjust as new data develops in real-time. Why Swing Z is original & useful: Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action — a design made specifically for the challenges and volatility of cryptocurrency markets.
Pine Script® Indikator
von ericc2c45