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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® indicator
by BackQuant
AVWAP (ATR-Weighted VWAP) IndicatorAVWAP (Average True Range Weighted Average Price), you typically combine two core indicators: 1. VWAP (Volume Weighted Average Price) This is the base indicator that calculates the average price weighted by volume over a session or specified period. VWAP serves as the core reference price level around which volatility adjustments are made for AVWAP. 2. ATR (Average True Range) ATR measures market volatility, representing the average price range over a set period. ATR is used to create volatility bands or buffers around the VWAP, adjusting levels to reflect prevailing market volatility. How These Indicators Work Together for AVWAP: Use VWAP to establish your average price line weighted by volume. Calculate ATR to understand the average price movement range. Apply ATR as multipliers to VWAP to create upper and lower volatility-adjusted bands (e.g., VWAP ± 1 × ATR), which form the AVWAP bands. These bands help identify volatility-aware support/resistance and stop-loss placement zones. So to make things easier I have built a custom AVWAP indicator to be used How to use my custom indicator: The central blue line is the VWAP. The red and green bands above and below VWAP are AVWAP bands set at VWAP ± 1.5 × ATR by default. Adjust the ATR length and multiplier inputs to suit the timeframe and volatility preferences. Use the bands as dynamic support/resistance and for setting stop loss zones based on volatility.
Pine Script® indicator
by himanshushourabh
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® indicator
by 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® indicator
by 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® indicator
by ABU_FARIS
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® indicator
by yuji52289
Fearless R:RFearless R:R – Precision Risk/Reward Visualization Fearless R:R is a clean and powerful risk management tool designed to help traders plan and execute trades with discipline. It lets you set your Entry, Take Profit, and Stop Loss levels directly on the chart, then automatically calculates and displays: Risk/Reward ratio in real-time Percentage distance to TP and SL Position sizing based on account equity and risk % Fees and slippage impact Current P/L tracking as price moves The indicator also anchors your setup visually on the chart with shaded RR zones, price-scale labels, and a compact info table. Dedicated alert conditions are included for Entry Hit, Take Profit Hit, and Stop Loss Hit, allowing you to automate trade management notifications. Whether you’re scalping or swing trading, Fearless R:R keeps your focus on structured decision-making and consistent execution.
Pine Script® indicator
by Kairosfund
1
Trapper Magnifying Glass - Bar Decomposer — Last Visible BarHeadline Decompose any higher-timeframe bar into lower-timeframe candles directly on the chart. Zoom/pan reactive, session-accurate, auto-fit inset, and compliant with TradingView placement limits. Quick Start Add the indicator and choose a Child TF (minutes) (e.g., 1, 5, 10, 15). The inset follows the last visible bar on your screen. Adjust Right separation / Mini width / Gap / Vertical exaggeration as needed. Leave Show HUD label OFF by default. Turn it on only if you want a compact readout. Overview This tool draws a miniature, on-chart inset of lower-timeframe candles that make up the currently viewed higher-timeframe bar. It stays on the main price chart (not in a separate pane), respects zoom/pan, compresses itself to fit available space, and adheres to TradingView’s 500-bar object placement limit. The design goal is micro-structure inspection without changing the chart timeframe. What Makes It Different On-chart inset (not a separate indicator panel) for true visual context. Zoom/Pan reactive to the last visible bar — works naturally as you navigate. Auto-fit logic keeps the inset readable while staying inside TradingView’s future-bars limit. Session-accurate decomposition: uses TradingView’s own lower-timeframe OHLC, exactly within the parent bar’s time window. Strictly compliant: no synthetic bars, no repaint tricks, no lookahead. How It Works Child data is fetched with request.security_lower_tf(syminfo.tickerid, , open/high/low/close). Only closed lower-TF bars inside the parent bar’s time window are returned by TradingView. The script maps each child bar to an inset candle (body + wick) scaled to the parent bar’s price range and placed to the right of the parent’s position. The inset tracks the last visible bar so it always stays relevant to what you’re inspecting. Inputs (Defaults) Timeframes Child TF (minutes): 1 (min 1, max 1440) Layout Right separation (bars): 10 Mini candle width (bars): 2 Gap between mini candles (bars): 0 Vertical exaggeration ×: 1.6 Auto-Fit Auto-fit inset width: ON Max bars ahead to use: 120 Minimum mini width: 1 Minimum gap: 0 Style Bull/Bear colors: ON Body Bull / Body Bear / Wick Bull / Wick Bear: configurable Body Fill Opacity (0–100): 12 Outline color: dark grey Outline width: 1 Wick width: 2 HUD Show HUD label: OFF (recommended default; enable only when you need a summary) Session Behavior (Important) TradingView constructs bars strictly by exchange sessions. For US equities (regular session 09:30–16:00, 390 minutes): On a 1h chart you will see 7 bars per day: 09:30–10:00 (30 minutes) 10:00–11:00, 11:00–12:00, 12:00–13:00, 13:00–14:00, 14:00–15:00 (five full hours) 15:00–16:00 (full hour) Decomposing the 09:30–10:00 bar into 1m returns 30 minis (not 60). Decomposing 10:00–11:00 returns 60 minis, as expected. The last hour (15:00–16:00) decomposes to 60 minis once they exist (i.e., immediately after each child bar closes). If you are mid-session, you will see only the minis that have closed so far. This is by design and ensures the inset reflects the true lower-timeframe structure TradingView has for that exact bar window. Nothing is synthesized. Live vs Confirmed Bars Confirmed bars (historical) always decompose to a full, correct count of child minis for that parent window. Live bars (currently forming) only return child minis that have already closed. Mid-hour on a 1h chart with 10m children, you might see 3, 4, or 5 minis depending on elapsed time. This script’s default experience focuses on the last visible bar and displays whatever the platform provides at that moment. The HUD (when enabled) includes the parent bar duration in minutes to make short session bars explicit. Auto-Fit and Placement Limits TradingView prevents drawing objects beyond 500 bars into the future. The inset’s right edge is automatically clamped to stay within that boundary. If the requested number of minis would overflow the allowed space, the script proportionally compresses mini width/gap (down to your configured minimums). If necessary, it draws only as many minis as safely fit — favoring stability over clutter. Styling Tips For dense decompositions (e.g., 1m inside 1h), set: Mini width = 1, Gap = 0, Auto-fit = ON, Right separation = 7–12. Increase Vertical exaggeration to highlight wick-to-body differences when the parent bar is narrow. Keep HUD OFF for publishing and screenshots unless you’re highlighting counts or session duration. Notes & Limitations Child arrays show closed bars only. No forming mini is displayed to avoid misleading totals. If you reload a chart or switch symbols/timeframes, the most recent confirmed bar’s arrays may be empty on the very first calculation frame; the script guards against this and will draw on the next update. The tool is an overlay visualization, not a signal generator; there are no alerts or trading advice. Performance: heavy decompositions on very fast symbols/timeframes can add many objects. Auto-fit and minimal widths help. Compliance Uses only native TradingView data (request.security_lower_tf). No repainting and no lookahead. No external feeds, synthetic candles, or hidden calculations that would misrepresent the underlying data. Fully respects TradingView’s object placement constraints. Recommended Defaults (for broad usability) Child TF: 5 or 15 (depending on your HTF). Right separation: 7–12 Mini width / Gap: 2 / 0 for clarity, 1 / 0 for dense fits. Auto-fit: ON HUD: OFF Troubleshooting “Why aren’t there 60 one-minute minis in this 1h bar?” Either the parent bar is a session-short bar (09:30–10:00 = 30 minutes) or you are viewing a live bar mid-hour; only closed minis appear. Inset clipped or not visible to the right: Increase Max bars ahead to use (Auto-Fit group), reduce Mini width/Gap, or reduce Right separation. Nothing draws on first load: Wait for the next bar update, or navigate the chart so the last visible bar changes; arrays refresh as data becomes available. Change Log v1.0 – Initial public release. On-chart inset, zoom/pan reactive, auto-fit width. Session-accurate lower-TF decomposition. HUD label toggle (off by default) with child TF, bar count, and parent duration. Hardened array handling for confirmed snapshots. Disclaimer This script is provided strictly for educational and informational purposes only. It does not constitute financial advice, investment advice, trading signals, or a recommendation to buy or sell any security, asset, or instrument. Trading and investing involve risk; always do your own research and consult with a licensed financial professional before making decisions.
Pine Script® indicator
by TRAPPER-RAMS
3
Financial Risk AlphaHere’s the description in English, formatted with ` ` for TradingView: --- \ Financial Risk Alpha\ is a macroeconomic indicator that tracks weekly changes in the \ NFCI Risk Index\ (Federal Reserve). It translates shifts in financial conditions into an easy-to-read histogram: * \ Green bars\ → Loosening of financial conditions (risk-on environment). * \ Red bars\ → Tightening of financial conditions (increased systemic risk). * \ Background shading\ in translucent green/red (CS Alpha style), highlighting the prevailing liquidity regime. * \ Visual signals\ : \ green arrows below\ the price when conditions flip to risk-on, and \ red arrows above\ the price when conditions flip to risk-off. \ Usage\ : Financial Risk Alpha is designed for traders and analysts seeking to align their strategies with global financial risk dynamics. It serves as an \ early warning tool\ for shifts in risk appetite, helping anticipate potential turning points in the market.
Pine Script® indicator
by hernandesnogueira
Crypto Position CalculatorAlpha2Million - Crypto Position Calculator (Margin, Leverage, % Fees, Exchange Presets) This script is a crypto trading risk & position calculator built directly into TradingView. It helps futures/perpetual traders size positions, calculate margin requirements, and visualize risk-to-reward levels on the chart — with exchange fee presets for real-world accuracy. • Position Sizing by Risk % • Enter account size and % risk per trade. • Script calculates exact position size (coins) based on SL distance. • Leverage & Margin • Shows required notional and margin (USDT) for the trade. • Exchange Fee Presets • Supports Binance, Bybit, Pionex, MEXC, Gate.io, KuCoin, HTX. • Maker vs Taker fee selection. • Custom option to enter your own per-side fee %. • Fee Breakeven Line (Orange) • Plots the exact price level you need to reach to cover entry + exit fees. • Lets you see how far price must move before you are at true breakeven. • Risk vs Reward Calculation • Risk is calculated on price movement only (SL distance). • Profit targets include fees, so “1R / 2R / 3R (net)” lines show realistic levels. • Smart Table Display • Account size, leverage, entry, stop, target. • Position size (coins), notional (USDT), required margin. • Risk at SL, fees (round trip), fee breakeven move/price. • Profit @ TP (after fees) and net RR.
Pine Script® indicator
by marktan93
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® indicator
by 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® indicator
by 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® indicator
by 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® indicator
by PopsStock