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Multiple Smoothed Moving AveragesMultiple Smoothed Moving Averages (SMMAs) This indicator displays up to 5 Smoothed Moving Averages (SMMAs) on your chart, providing a comprehensive view of multiple trend timeframes simultaneously. ═══════════════════════════════════════ WHAT IS A SMOOTHED MOVING AVERAGE? ═══════════════════════════════════════ The Smoothed Moving Average (SMMA), also known as the Running Moving Average (RMA), is a type of moving average that provides more smoothing than a Simple Moving Average (SMA). Unlike SMA which gives equal weight to all values in the period, SMMA uses a recursive formula that gives more weight to previous SMMA values, resulting in: - Smoother price action with less noise - Slower response to recent price changes - Better identification of longer-term trends - Reduced false signals in choppy markets CALCULATION METHOD: - First value: Simple Moving Average of the initial period - Subsequent values: (Previous SMMA × (Length - 1) + Current Price) / Length This recursive nature makes SMMA particularly effective for identifying sustained trends while filtering out short-term volatility. ═══════════════════════════════════════ FEATURES ═══════════════════════════════════════ ✓ 5 Independent SMMAs: Each with its own configurable period length ✓ Individual Toggles: Show/hide each SMMA independently ✓ Distinct Colors: Easy visual identification of each moving average ✓ Customizable Lengths: Adjust each period to match your trading strategy ✓ Shared Source: All SMMAs calculate from the same price source (default: close) ✓ Overlay Display: Plots directly on the price chart ═══════════════════════════════════════ DEFAULT SETTINGS ═══════════════════════════════════════ - SMMA 1: 30 periods (Blue) - SMMA 2: 50 periods (Orange) - SMMA 3: 100 periods (Green) - SMMA 4: 200 periods (Purple) - SMMA 5: 300 periods (Red) All SMMAs are enabled by default. ═══════════════════════════════════════ HOW TO USE ═══════════════════════════════════════ TREND IDENTIFICATION: - Price above all SMMAs = Strong uptrend - Price below all SMMAs = Strong downtrend - Price between SMMAs = Transitional phase or consolidation SUPPORT & RESISTANCE: - SMMAs often act as dynamic support in uptrends - SMMAs often act as dynamic resistance in downtrends - Longer-period SMMAs (200, 300) provide stronger S/R levels CROSSOVER SIGNALS: - Faster SMMA crossing above slower SMMA = Bullish signal - Faster SMMA crossing below slower SMMA = Bearish signal MULTIPLE TIMEFRAME ANALYSIS: - Short-term trends: 30, 50 periods - Medium-term trends: 100 periods - Long-term trends: 200, 300 periods ═══════════════════════════════════════ CUSTOMIZATION ═══════════════════════════════════════ INPUTS TAB: - Adjust each SMMA length to suit your trading timeframe - Toggle individual SMMAs on/off using checkboxes - Change the source (close, open, high, low, hl2, hlc3, ohlc4) STYLE TAB: - Modify line colors for each SMMA - Adjust line thickness and style - Change transparency levels ═══════════════════════════════════════ NOTES ═══════════════════════════════════════ - This indicator uses the mathematically correct SMMA calculation with the recursive formula - All calculations are performed on every bar to ensure data consistency - SMMAs respond more slowly than EMAs but faster than WMAs to price changes - Best used in combination with other technical analysis tools - Use on any timeframe ═══════════════════════════════════════ Perfect for traders who want a clear, multi-timeframe view of market trends using the smooth, reliable SMMA calculation method.
Indicateur Pine Script®
par rdjxyz
Combined Triggers Dashboard//@version=6 indicator("Combined Triggers Dashboard", overlay=true) // ======================= INPUTS ======================= // Daily Trigger shortDEMA_D = input.int(10, "Daily 10 DEMA") longDEMA_D = input.int(20, "Daily 20 DEMA") volAvgLen_D = input.int(20, "Daily 20-day Avg Volume") volMultiplier_D = input.float(3, "Daily Volume Multiplier") weekDEMAlen_D = input.int(10, "10-Week DEMA Reference for Daily Trigger") // Weekly Trigger shortDEMA_W = input.int(10, "Weekly 10 W DEMA") longDEMA_W = input.int(20, "Weekly 20 W DEMA") volAvgLen_W = input.int(50, "50-day Avg Volume for Weekly Trigger") volMultiplier_W = input.float(3, "Weekly Volume Multiplier") // Original Trigger (example) shortDEMA_O = input.int(10, "Original 10 DEMA") longDEMA_O = input.int(20, "Original 20 DEMA") volAvgLen_O = input.int(20, "Original 20-day Avg Volume") volMultiplier_O = input.float(3, "Original Volume Multiplier") // ======================= FUNCTIONS ======================= f_dema(_src, _len) => ema1 = ta.ema(_src, _len) ema2 = ta.ema(ema1, _len) 2 * ema1 - ema2 // ======================= DAILY TRIGGER ======================= dema10D = f_dema(close, shortDEMA_D) dema20D = f_dema(close, longDEMA_D) dailyVol = volume avgVol20 = ta.sma(dailyVol, volAvgLen_D) volCondition_D = dailyVol > volMultiplier_D * avgVol20 priceCondition_D = close > dema10D demaCondition_D = dema10D > dema20D weeklyClose_D = request.security(syminfo.tickerid, "W", close) dema10W_D = ta.ema(weeklyClose_D, weekDEMAlen_D) * 2 - ta.ema(ta.ema(weeklyClose_D, weekDEMAlen_D), weekDEMAlen_D) trigger_D = priceCondition_D and demaCondition_D and volCondition_D plotshape(trigger_D, title="Daily Trigger", style=shape.triangleup, location=location.abovebar, text="DTRG", textcolor=color.white, color=color.new(#FF4500, 0), size=size.small) alertcondition(trigger_D, title="Daily DEMA Trigger Alert", message="Daily DEMA trigger detected") // ======================= WEEKLY TRIGGER ======================= weeklyClose_W = request.security(syminfo.tickerid, "W", close) dema10W = f_dema(weeklyClose_W, shortDEMA_W) dema20W = f_dema(weeklyClose_W, longDEMA_W) dailyVolW = volume avgVol50 = ta.sma(dailyVolW, volAvgLen_W) volCondition_W = dailyVolW > volMultiplier_W * avgVol50 priceCondition_W = close > dema20W demaCondition_W = dema10W > dema20W trigger_W = priceCondition_W and demaCondition_W and volCondition_W plotshape(trigger_W, title="Weekly Trigger", style=shape.triangledown, location=location.abovebar, text="WTRG", textcolor=color.white, color=color.new(#1E90FF, 0), size=size.small) alertcondition(trigger_W, title="Weekly DEMA Trigger Alert", message="Weekly DEMA trigger detected") // ======================= ORIGINAL TRIGGER ======================= dema10O = f_dema(close, shortDEMA_O) dema20O = f_dema(close, longDEMA_O) dailyVolO = volume avgVolO = ta.sma(dailyVolO, volAvgLen_O) volCondition_O = dailyVolO > volMultiplier_O * avgVolO priceCondition_O = close > dema10O demaCondition_O = dema10O > dema20O trigger_Orig = priceCondition_O and demaCondition_O and volCondition_O plotshape(trigger_Orig, title="Original Trigger", style=shape.labelup, location=location.belowbar, text="TRG", textcolor=color.white, color=color.new(#32CD32, 0), size=size.small) // ======================= COMBINED TABLE ======================= var table dash = table.new(position.top_right, 2, 20, border_width=1) if barstate.islast // --- DAILY TRIGGER (rows 0-4) --- table.cell(dash, 0, 0, "Daily Trigger", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 0, trigger_D ? "YES ✅" : "NO ❌", text_color=color.white, bgcolor=trigger_D ? color.new(#FF4500, 0) : color.new(#555555, 50)) table.cell(dash, 0, 1, "CMP > 10D DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 1, str.tostring(close, format.price), text_color=color.white, bgcolor=priceCondition_D ? color.new(#32CD32, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 2, "10D > 20D DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 2, str.tostring(dema10D, format.price) + " > " + str.tostring(dema20D, format.price), text_color=color.white, bgcolor=demaCondition_D ? color.new(#FFFF00, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 3, "Daily Vol > 3x20D Avg", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 3, str.tostring(dailyVol, format.volume) + " / " + str.tostring(avgVol20, format.volume), text_color=color.white, bgcolor=volCondition_D ? color.new(#FF00FF, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 4, "10W DEMA Ref", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 4, str.tostring(dema10W_D, format.price), text_color=color.white, bgcolor=color.new(#00FFFF, 0)) // --- WEEKLY TRIGGER (rows 5-9) --- table.cell(dash, 0, 5, "Weekly Trigger", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 5, trigger_W ? "YES ✅" : "NO ❌", text_color=color.white, bgcolor=trigger_W ? color.new(#1E90FF, 0) : color.new(#555555, 50)) table.cell(dash, 0, 6, "CMP > 20W DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 6, str.tostring(close, format.price), text_color=color.white, bgcolor=priceCondition_W ? color.new(#32CD32, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 7, "10W > 20W DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 7, str.tostring(dema10W, format.price) + " > " + str.tostring(dema20W, format.price), text_color=color.white, bgcolor=demaCondition_W ? color.new(#FFFF00, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 8, "Daily Vol > 3x50D Avg", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 8, str.tostring(dailyVolW, format.volume) + " / " + str.tostring(avgVol50, format.volume), text_color=color.white, bgcolor=volCondition_W ? color.new(#FF00FF, 0) : color.new(#AAAAAA, 50)) // --- ORIGINAL TRIGGER (rows 10-14) --- table.cell(dash, 0, 10, "Original Trigger", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 10, trigger_Orig ? "YES ✅" : "NO ❌", text_color=color.white, bgcolor=trigger_Orig ? color.new(#32CD32, 0) : color.new(#555555, 50)) table.cell(dash, 0, 11, "CMP > 10D DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 11, str.tostring(close, format.price), text_color=color.white, bgcolor=priceCondition_O ? color.new(#32CD32, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 12, "10D > 20D DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 12, str.tostring(dema10O, format.price) + " > " + str.tostring(dema20O, format.price), text_color=color.white, bgcolor=demaCondition_O ? color.new(#FFFF00, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 13, "Daily Vol > 3x20D Avg", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 13, str.tostring(dailyVolO, format.volume) + " / " + str.tostring(avgVolO, format.volume), text_color=color.white, bgcolor=volCondition_O ? color.new(#FF00FF, 0) : color.new(#AAAAAA, 50))
Indicateur Pine Script®
par Nekhileshinvestor
ORDER BLCOK custom strategy# OB Matrix Strategy - Documentation **Version:** 1.0 **Author:** HPotter **Date:** 31/07/2017 The **OB Matrix Strategy** is based on the identification of **bullish and bearish Order Blocks** and the management of conditional orders with multiple Take Profit (TP) and Stop Loss (SL) levels. It uses trend filters, ATR, and percentage-based risk management. --- ## 1. Main Parameters ### Strategy - `initial_capital`: 50 - `default_qty_type`: percentage of capital - `default_qty_value`: 10 ### Money Management - `rr_threshold`: minimum Risk/Reward threshold to open a trade - `risk_percent`: percentage of capital to risk per trade (default 2%) - `maxPendingBars`: maximum number of bars for a pending order - `maxBarsOpen`: maximum number of bars for an open position - `qty_tp1`, `qty_tp2`, `qty_tp3`: quantity percentages for multiple TPs --- ## 2. Order Block Identification ### Order Block Parameters - `obLookback`: number of bars to identify an Order Block - `obmode`: method to calculate the block (`Full` or `Breadth`) - `obmiti`: method to determine block mitigation (`Close`, `Wick`, `Avg`) - `obMaxBlocks`: maximum number of Order Blocks displayed ### Main Variables - `bullBlocks`: array of bullish blocks - `bearBlocks`: array of bearish blocks - `last_bull_volume`, `last_bear_volume`: volume of the last block - `dom_block`: dominant block type (Bullish/Bearish/None) - `block_strength`: block strength (normalized volume) - `price_distance`: distance between current price and nearest block --- ## 3. Visual Parameters - `Width`: line thickness for swing high/low - `amountOfBoxes`: block grid segments - `showBorder`: show block borders - `borderWidth`: width of block borders - `showVolume`: display volume inside blocks - `volumePosition`: vertical position of volume text Customizable colors: - `obHighVolumeColor`, `obLowVolumeColor`, `obBearHighVolumeColor`, `obBearLowVolumeColor` - `obBullBorderColor`, `obBearBorderColor` - `obBullFillColor`, `obBearFillColor` - `volumeTextColor` --- ## 4. Screener Table - `showScreener`: display the screener table - `tablePosition`: table position (`Top Left`, `Top Right`, `Bottom Left`, `Bottom Right`) - `tableSize`: table size (`Small`, `Normal`, `Large`) The table shows: - Symbol, Timeframe - Type and status of Order Block - Number of retests - Bullish and bearish volumes --- ## 5. Trend Filters - EMA as a trend filter (`emaPeriod`, default 223) - `bullishTrend` if close > EMA - `bearishTrend` if close < EMA --- ## 6. ATR and Swing Points - ATR calculated with a customizable period (`atrLength`) - Swing High/Low for SL/TP calculation - `f_getSwingTargets` function to calculate SL and TP based on direction --- ## 7. Trade Logic ### Buy Limit on Bullish OB - Conditions: - New bullish block - Uptrend - RR > threshold (`rr_threshold`) - SL: `bullishOBPrice * (1 - atr * atrMultiplier)` - Multiple TPs: TP1 (50%), TP2 (80%), TP3 (100% max) - Quantity calculation based on percentage risk ### Sell Limit on Bearish OB - Conditions: - New bearish block - Downtrend - RR > threshold (`rr_threshold`) - SL: `bearishOBPrice * (1 + atr * atrMultiplier)` - Multiple TPs: TP1 (50%), TP2 (80%), TP3 (100% max) - Quantity calculation based on percentage risk --- ## 8. Order Management and Timeout - Close pending orders after `maxPendingBars` bars - Close open positions after `maxBarsOpen` bars - Label management for open orders --- ## 9. Alert Conditions - `bull_touch`: price inside maximum bullish volume zone - `bear_touch`: price inside maximum bearish volume zone - `bull_reject`: confirmation of bullish zone rejection - `bear_reject`: confirmation of bearish zone rejection - `new_bull`: new bullish block - `new_bear`: new bearish block --- ## 10. Level Calculation - Swing levels based on selected timeframe (`SelectPeriod`) - `xHigh` and `xLow` for S1 and R1 calculation - Levels plotted on chart --- ## 11. Take Profit / Stop Loss - Extended horizontal lines (`extendBars`) to visualize TP and SL - Customizable colors (`tpColor`, `slColor`) --- ## 12. Notes - Complete script based on Pine Script v5 - Advanced graphical management with boxes, lines, labels - Dynamically displays volumes and Order Blocks - Integrated internal screener --- ### End of Documentation
Stratégie Pine Script®
par CRYPTO_EWT
Retracement FiboNacci🎯 Core Functionality Automatic Swing Detection: Uses ZigZag algorithm to detect significant price swings Dual Modes: Fibonacci Retracements - Traditional price-based levels Fibonacci Time Zones - Time-based projections Multi-Timeframe Analysis: Works on any timeframe while detecting swings from higher timeframes ⚙️ Customization Options Fibonacci Levels: Fully customizable Fibonacci levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%) Individual color selection for each level Toggle on/off specific levels as needed Display Settings: Line Styling: Choose between Solid, Dashed, or Dotted lines Line Thickness: Adjustable from 1 to 5 pixels ZigZag Visibility: Toggle base ZigZag line display Label Management: Fibonacci Labels: Show percentage retracement levels Price Labels: Display actual price values Flexible Positioning: Left, Right, Both sides, or Auto-centering Independent control for Fib and Price labels Option to hide labels completely 🔧 Technical Specifications ZigZag Parameters: Depth: 12 bars Deviation: 1% Backstep: 2 bars Real-time Updates: Automatically redraws when new swings are detected Clean Interface: Removes old drawings to prevent chart clutter Usage Scenarios 📈 Trend Analysis Identify retracement levels during pullbacks Spot potential reversal zones at key Fibonacci levels Measure swing magnitudes for position sizing ⏰ Time Projections Use Time Zone mode for forecasting potential reversal times Combine price and time analysis for confluence 🎨 Visual Customization Color-code important levels (e.g., 61.8% as golden ratio) Adjust label sizes for better readability Choose line styles that complement your chart setup Ideal For Swing traders identifying entry/exit points Position traders finding optimal accumulation zones Technical analysts validating support/resistance levels Multi-timeframe analysts correlating higher timeframe structure Pro Tips Combine with Volume: Confirm reactions at Fibonacci levels with volume spikes Multiple Timeframes: Use higher timeframe Fibonacci levels for major S/R Confluence Trading: Look for Fibonacci levels aligning with previous support/resistance Risk Management: Use Fibonacci extensions for profit targets
Indicateur Pine Script®
par titakunna_tk
ATR SL 10/10 This indicator draws an ATR-based trailing stop on the main chart and shows two compact labels: • Stop line = Low − (ATR × Multiplier). • “Today” label: the current bar’s stop price. • “5-bar Max” label: the highest stop value over the last N bars (rolling window). Labels auto-separate slightly if they overlap so both remain readable. ATR selection logic • On confirmed bars (after close): uses today’s ATR. • In real-time (bar not confirmed): uses max(today’s ATR, yesterday’s ATR) to avoid under-estimating volatility early in the session. Inputs • Length: ATR period. • Smoothing: RMA/SMA/EMA/WMA for ATR. • Multiplier: stop distance in ATR units. • Long Base: price source for the long stop (usually Low). • Show Price Line: toggle the pink stop line. • Lookback: window for the rolling 5-bar maximum label. Notes • Overlay = true; the line scales with the price chart. • Prices/labels use mintick formatting for clean alignment. • Works on any timeframe; ATR is computed from the active chart’s bars with the above real-time safeguard.
Indicateur Pine Script®
par turtlekim
ATR RS 10/11ATR RS — What it does (English) • Purpose: A compact risk-sizing helper that plots Daily ATR(10, RMA) in a separate panel and shows a live sizing summary (ATR used, Stop, Per-unit risk, Risk, Size, Bet). Works on any chart timeframe. • Daily ATR logic (robust intraday handling): – Before first trade of the session: use yesterday’s daily ATR only. – During the session (daily candle unconfirmed): use max(today’s daily ATR, yesterday’s daily ATR) to avoid underestimating volatility early in the day. – After the daily candle closes: use today’s daily ATR. • Stop rule (long bias): Stop = Today’s Daily Low − Multiplier × ATR_used • Position sizing: Per-unit risk = max(Entry − Stop, 0) × PointValue Raw size = RiskAmount / Per-unit risk Final size = floor(Raw size / LotSize) × LotSize (Optional cap via Max Position Cap; negatives coerced to 0.) • “Entry” price: current chart close (i.e., real-time last for intraday, or close for historical/confirmed bars). • Panel fields: – ATR(10): Daily ATR(10, RMA) – ATR used: the volatility value selected by the intraday rule above – Stop: computed stop price (you can snap to tick if desired) – Per-unit: risk per share/contract = (Entry − Stop) × PointValue – Risk: user input, account currency – Size: position size after lot rounding and cap – Bet: Entry × Size × PointValue • Inputs: – ATR Length (Daily RMA), Multiplier (for stop), Risk Amount, Point Value (stocks=1; futures=contract point value), Lot Size, Max Position Cap, Show summary table. • Notes: – Uses request.security(“D”, …) with no lookahead, so the same ATR is used consistently regardless of the chart timeframe. – If your venue has fractional ticks, consider snapping the Stop to tick size so labels and price markers match perfectly.
Indicateur Pine Script®
par turtlekim
Trend Aligned SFP - HyruA powerful combination of the Swing Failure Pattern (SFP) detection with Weekly VWAP trend filtering for higher-probability trade setups. What This Indicator Does This indicator identifies Swing Failure Patterns (SFPs) - also known as "stop hunts" or failed breakouts - but only shows signals that align with the Weekly VWAP trend direction. This filtering dramatically reduces false signals by ensuring you're trading with the dominant market flow. Alert Types SFP Detected - Fires immediately when the pattern forms (on the wick bar) SFP Confirmed - Fires when price closes beyond the confirmation level (safer entry) Best Practices Use on any timeframe (works great on 5m-1H for scalping, 4H-1D for swing trading) Enable VWAP filter for cleaner, higher-probability signals Wait for confirmation alerts for lower risk entries Combine with your favorite support/resistance levels for confluence
Indicateur Pine Script®
par Hyru
52WH/last52WH/ATH/lastATHThis indicator calculates and displays four values: First, it calculates the current 52-week high and displays it as a line and in a table at the top right with the name, date, and price. Corresponding color markings are also displayed on the price scale. Next, the 52-week high that is at least 3 months ago is determined. The corresponding candle is also labeled with a date. This past high is also displayed as a line, on the price scale, and in the table. Next, the current all-time high is determined and also displayed as a line, on the price scale, and in the table. Finally, the current all-time high that was valid 3 months ago is determined and also displayed as a linewith a label at the corresponding bar, in the price scale, and in the table. All display values can be switched on or off in the view, and the corresponding colors of the displays can also be freely selected. (This script was developed by J. Heina, jochen.heina@gmail, in collaboration with the ChatGPT tool, taking into account the rules developed for trading by Mario Lüddemann Investments GmbH).
Indicateur Pine Script®
par JoeHunter7563
Options levelsOverview Options Levels 🎯 plots 13 key institutional and options-based levels directly on your chart — including Call Wall, Put Wall, Gamma Flip, Whales Pivot, five Whale levels, and Sigma deviation bands (σ¹ / σ²). It’s designed for both intraday and swing traders, offering a clean visual structure with elegant emoji labels, flexible visibility controls, and precise right-edge extensions for each line. ✨ Key Features Single structured input with 13 ordered levels: CallWall, PutWall, GammaFlip, Whales Pivot, Whale1..Whale5, Upperσ1, Upperσ2, Lowerσ1, Lowerσ2 Expressive emoji labels (🟢, 🔴, ⚖️, 🌑, 🐋, σ¹/σ²) optimized for dark themes. Right-edge alignment: each line extends exactly to its label — no infinite lines. Group visibility toggles: • Critical Levels → Call Wall, Put Wall, Gamma Flip, Whales Pivot • Whale Levels → Whale 1–5 • Sigma Bands → Upper/Lower σ¹ and σ² Dynamic line-length multipliers that emphasize key levels. Built-in alert conditions: • Price crossing above the Call Wall • Price crossing below the Put Wall ⚙️ Inputs & Settings 📋 Level List (string) : comma-separated list of 13 numeric values. Example: 🎨 Appearance • Base line length (bars) • Label visibility toggle • Line thickness • Extend line and label to the right • Distance (bars) between last candle and label 👁️ Visibility Controls • Toggle Critical, Whale, or Sigma levels independently 🚀 How to Use Paste your list of 13 ordered levels into the input field. Adjust base length and thickness according to your timeframe. Enable “Extend to the right” to position labels neatly beyond the last candle. Use visibility toggles to focus on specific level groups (e.g., hide Whale Levels for short-term setups). Optionally enable alerts to track price breakouts above/below Call and Put Walls. The plotted levels are derived from aggregated options flow data, institutional positioning, and volatility-based deviations (σ). They serve as reference zones rather than predictive signals, helping visualize where liquidity and dealer hedging pressure may cluster. 📖 Level Definitions Call Wall 🟢 — The strike with the highest call open interest; potential resistance area. Put Wall 🔴 — The strike with the highest put open interest; potential support area. Gamma Flip ⚖️ — Level where total gamma exposure changes sign; may reflect a shift in dealer hedging behavior. Whales Pivot 🌑 — Represents the average institutional positioning from the previous trading day, reflecting where large option flows were most concentrated. Whale Levels 🐋 — High-premium or large-volume strikes typically linked to institutional activity. Upper σ¹ / σ² 📈 — One and two standard deviations above spot; potential overextension zones. Lower σ¹ / σ² 📉 — One and two standard deviations below spot; potential mean-reversion zones. Levels are manually input by the user. This script is a visual reference, not a predictive model. ⚠️ Notes Levels are user-provided (not calculated by this script). The indicator does not issue buy/sell signals or provide performance guarantees. Designed purely as a visual aid for contextual market reference. Optimized with barstate.islast for performance (draws only at the latest bar). Disclaimer: This indicator is for educational and visual purposes only. It does not generate buy/sell signals or guarantee future results. User-provided levels are meant for contextual reference only. Developed for traders who rely on market structure and options flow context. Feedback and suggestions are welcome.
Indicateur Pine Script®
par dark_gamma
Price Trendlines + Break Signals█ OVERVIEW The "Price Trendlines + Break Signals" indicator is a technical analysis tool that automatically draws trendlines based on price pivot points and detects breakout signals. Designed for traders seeking precise market signals, the indicator identifies key pivot points, draws trendlines (resistance and support), and generates breakout signals with background highlighting. It offers flexible settings and alerts for breakout signals. █ CONCEPTS The indicator was created to provide traders with an alternative source of signals based on trendlines. Breakouts and bounces from trendlines can signal a trend change or the end of a correction. Combining these signals with other technical analysis tools can form the basis for building diverse trading strategies. █ FEATURES -Pivot Point Calculation: The indicator identifies pivot points (pivot high and pivot low) based on the closing price, with configurable left and right bars for pivot detection. Setting a higher number of bars results in fewer but more significant trendlines, with a delay corresponding to the specified length. Lower values generate more trendlines, but they are less significant. Crossovers are signaled only after the trendline is drawn, so sometimes no signals appear on crossed trendlines—this indicates the price passed through the line before it was detected. - Trendlines: Draws trendlines connecting price pivot points—upper lines for downtrends (resistance) and lower lines for uptrends (support). Lines can be extended by a specified number of bars (default: 50). - Tolerance Margin: Trendlines are widened by a tolerance margin, calculated using the average candle body size over a specified period and its multiplier. Reducing the multiplier to zero leaves only the trendline without a margin. Breaking this zone is a condition for generating signals. - Breakout Signals: Generates signals when the price breaks through a trendline (bullish for upper lines, bearish for lower lines), with background highlighting for signal confirmation. Alerts: Built-in alerts for: - Upper trendline breakout (bullish signal). - Lower trendline breakout (bearish signal). Customization: Allows adjustment of pivot parameters, trendline extension length, tolerance margin, line colors, fills, and signal background transparency. █ HOW TO USE Adding the Indicator: Add the indicator to your TradingView chart via the Pine Editor or Indicators menu. Configuring Settings: - Left Bars for Pivot: Number of bars back for detecting pivots (default: 10). - Right Bars for Pivot: Number of bars forward to confirm pivots (default: 10). - Extend past 2nd pivot: Number of bars to extend the trendline after the second pivot (default: 50, 0 = no extension). - Average Body Periods: Period for calculating the average candle body size used for the tolerance margin (default: 100). - Tolerance Multiplier: Multiplier for the tolerance margin based on the average candle body size (default: 1.0). Colors and Style: - Upper trendline (resistance): default red. - Lower trendline (support): default green. - Line fills: colors with transparency (default 70). - Signal background: green for bullish signals, red for bearish signals (default transparency 85). Interpreting Signals: - Trendlines: Upper lines (red) indicate a downtrend, lower lines (green) indicate an uptrend. Signals appear after a trendline breakout with the tolerance margin. Each trendline generates only one breakout signal, though it may still act as resistance or support for the price. - Breakout Signals: Green background indicates an upper trendline breakout (bullish), red background indicates a lower trendline breakout (bearish). - Alerts: Set up alerts in TradingView for trendline breakout signals. Combining with Other Tools: Use with support/resistance levels, Fibonacci levels, RSI, pivot points, or FVG (Fair Value Gap) for signal confirmation. █ APPLICATIONS The "Price Trendlines + Break Signals" indicator is designed to identify trends and potential reversal points, supporting both trend-following and contrarian strategies: - Trend Confirmation: Trendlines indicate the direction of the price trend, and bounces from them may signal the end of a correction. - Reversal Strategies: Breakout signals can be used as cues to enter positions in anticipation of a trend change or correction. - Noise Filtering: The tolerance margin reduces false signals, enhancing reliability. █ NOTES - Trendline crossovers are signaled only after the trendline is drawn, so sometimes no signals appear on crossed trendlines—this indicates the price passed through the line before it was detected. - Each trendline generates only one breakout signal, though it may still act as a level of support or resistance for the price. - Setting a higher number of bars for pivots results in fewer but more significant trendlines, with a delay corresponding to the specified length. Lower values generate more trendlines, but they are less significant. - Adjust settings (e.g., number of bars for pivots, tolerance multiplier) to suit your trading style and timeframe. - Combine with other technical analysis tools, such as RSI, pivot points, or FVG, to enhance signal accuracy. - For high-volatility markets, consider increasing the tolerance margin to reduce false signals.
Indicateur Pine Script®
par Uncle_the_shooter
2
TRADALOGIX A-Setup Mentoring Checklist97% of traders (new or old) sometime forget that to win the markets consistently, you have to be consistent in your thought process as well. Many that come to me desire only to know the secrets to my trading success. And I ask the same question to each and everyone: What are your steps in finding, validating & executing the best trade possible? Majority of the times, they know of only 3-5 points to consider when trading. Hence the reason why many traders fail. This led me down to compiling a 1000 trader survey. It resulted in finding the reasons for trader failures. Most traders were unaware of some of the critical steps in finding, validating & executing the A-Setup trade of the day. Once launched, you will find the critical steps in processing your setup. No one item should be ignored if you are seeking consistency in your trading. Good luck.
Indicateur Pine Script®
par DrPipstone
Aladin Pair Trading System v1Aladin Pair Trading System v1 What is This Indicator? The Aladin Pair Trading System is a sophisticated tool designed to help traders identify profitable opportunities by comparing two related stocks that historically move together. Think of it as finding when one twin is running ahead or lagging behind the other - these moments often present trading opportunities as they tend to return to moving together. Who Should Use This? Beginners: Learn about statistical arbitrage and pair trading Intermediate Traders: Execute mean-reversion strategies with confidence Advanced Traders: Fine-tune parameters for optimal pair relationships Portfolio Managers: Implement market-neutral strategies 💡 What is Pair Trading? Imagine two ice cream shops next to each other. They usually have similar customer traffic because they're in the same area. If one day Shop A is packed while Shop B is empty, you might expect this imbalance to correct itself soon. Pair trading works the same way: You find two stocks that normally move together (like TCS and Infosys) When one stock moves too far from the other, you trade expecting them to realign You buy the lagging stock and sell the leading stock When they come back together, you profit from both sides Key Features 1. Z-Score Analysis What it is: A statistical measure showing how far the price relationship has deviated from normal What it means: Z-Score near 0 = Normal relationship Z-Score at +2 = Stock A is expensive relative to Stock B (Sell A, Buy B) Z-Score at -2 = Stock A is cheap relative to Stock B (Buy A, Sell B) 2. Multiple Timeframe Analysis Long-term Z-Score (300 bars): Shows the big picture trend Short-term Z-Score (100 bars): Shows recent movements Signal Z-Score (20 bars): Generates quick trading signals 3. Statistical Validation The indicator checks if the pair is suitable for trading: Correlation (must be > 0.7): Confirms the stocks move together 1.0 = Perfect positive correlation 0.7 = Strong correlation Below 0.7 = Warning: pair may not be reliable ADF P-Value (should be < 0.05): Tests if the relationship is stable Low value = Good for pair trading High value = Relationship may be random Cointegration: Confirms long-term equilibrium relationship YES = Pair tends to revert to mean NO = Pair may drift apart permanently Visual Elements Explained Chart Zones (Color-Coded Areas) Yellow Zone (-1.5 to +1.5) Normal Zone: Relationship is stable Action: Wait for better opportunities Blue Zone (±1.5 to ±2.0) Entry Zone: Deviation is significant Action: Prepare for potential trades Green/Red Zone (±2.0 to ±3.0) Opportunity Zone: Strong deviation Action: High-probability trade setups Beyond ±3.0 Risk Limit: Extreme deviation Action: Either maximum opportunity or structural break Signal Arrows Green Arrow Up (Buy A + Sell B): Stock A is undervalued relative to B Buy Stock A, Short Stock B Red Arrow Down (Sell A + Buy B): Stock A is overvalued relative to B Sell Stock A, Buy Stock B Settings Guide Symbol Inputs Pair Symbol (Symbol B): Choose the second stock to compare Default: NSE:INFY (Infosys) Example pairs: TCS/INFY, HDFCBANK/ICICIBANK, RELIANCE/ONGC Z-Score Parameters Long Z-Score Period (300): Historical context Short Z-Score Period (100): Recent trend Signal Period (20): Trading signals Z-Score Threshold (2.0): Entry trigger level Higher = Fewer but stronger signals Lower = More frequent signals Statistical Parameters Correlation Period (240): How many bars to check correlation Hurst Exponent Period (50): Measures mean-reversion tendency Probability Lookback (100): Historical probability calculations Trading Parameters Entry Threshold (0.0): Minimum Z-score for entry Risk Threshold (1.5): Warning level Risk Limit (3.0): Maximum deviation to trade How to Use (Step-by-Step) Step 1: Choose Your Pair Add the indicator to your chart (this becomes Stock A) In settings, select Stock B (the comparison stock) Choose stocks from the same sector for best results Step 2: Verify Pair Quality Check the Statistics Table (top-right corner): ✅ Correlation > 0.70 (Green = Good) ✅ ADF P-value < 0.05 (Green = Good) ✅ Cointegrated = YES (Green = Good) If all three are green, the pair is suitable for trading! Step 3: Wait for Signals BUY SIGNAL (Green Arrow Up) Z-Score crosses above -2.0 Action: Buy Stock A, Sell Stock B Exit: When Z-Score returns to 0 SELL SIGNAL (Red Arrow Down) Z-Score crosses below +2.0 Action: Sell Stock A, Buy Stock B Exit: When Z-Score returns to 0 Step 4: Risk Management Yellow Zone: Monitor only Blue Zone: Prepare for entry Green/Red Zone: Active trading zone Beyond ±3.0: Maximum risk - use caution ⚠️ Important Warnings Not All Pairs Work: Always check the statistics table first Market Conditions Matter: Correlation can break during market stress Use Stop Losses: Set stops at Z-Score ±3.5 or beyond Position Sizing: Trade both legs with appropriate hedge ratios Transaction Costs: Factor in brokerage and slippage for both stocks Example Trade Scenario: TCS vs INFOSYS Correlation: 0.85 ✅ Z-Score: -2.3 (TCS is cheap vs INFY) Action to be taken: Buy 1lot of TCS Future Sell 1lot of INFOSYS Future Expected Outcome: As Z-Score moves toward 0, TCS outperforms INFOSYS Close both positions when Z-Score crosses 0 Profit from the convergence Best Practices Test Before Trading: Use paper trading first Sector Focus: Choose pairs from the same industry Monitor Statistics: Check correlation daily Avoid News Events: Don't trade pairs during earnings/major news Size Appropriately: Start small, scale with experience Be Patient: Wait for high-quality setups (±2.0 or beyond) What Makes This Indicator Unique? Multi-timeframe Z-Score analysis: Three different perspectives Statistical validation: Built-in correlation and cointegration tests Visual risk zones: Easy-to-understand color-coded areas Real-time statistics: Live pair quality monitoring Beginner-friendly: Clear signals with educational zones Technical Background The indicator uses: Engle-Granger Cointegration Test: Validates pair relationship ADF (Augmented Dickey-Fuller) Test: Tests stationarity Pearson Correlation: Measures linear relationship Z-Score Normalization: Standardizes deviations Log Returns: Handles price differences properly Support & Community For questions, suggestions, or to share your pair trading experiences: Comment below the indicator Share your successful pair combinations Report any issues for quick fixes Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Pair trading involves risk, including the risk of loss. Always: Do your own research Understand the risks Trade with money you can afford to lose Consider consulting a financial advisor 📌 Quick Reference Card Z-ScoreInterpretationAction-3.0 to -2.0A very cheap vs BStrong Buy A, Sell B-2.0 to -1.5A cheap vs BBuy A, Sell B-1.5 to +1.5Normal rangeHold/Wait+1.5 to +2.0A expensive vs BSell A, Buy B+2.0 to +3.0A very expensive vs BStrong Sell A, Buy B Good Pair Statistics: Correlation: > 0.70 ADF P-value: < 0.05 Cointegration: YES Version: 1.0 Last Updated: 10th October 2025 Compatible: TradingView Pine Script v6 Happy Trading!
Indicateur Pine Script®
par kingshukghosh71
4
DeepSeek_Multi-Timeframe EMA Strategy BTC_1HStrategy Description: "DeepSeek_Multi-Timeframe EMA Strategy BTC_1H" This is a trading strategy for TradingView that uses a multi-timeframe Exponential Moving Average (EMA) crossover system to generate trade signals on a 1-hour Bitcoin (BTC) chart. Core Logic & Trading Rules The strategy's logic is based on the alignment of two different EMA timeframes: Higher Timeframe (HTF) Trend Filter: A slower EMA (default: 50) is calculated on a higher timeframe (default: 1D). This defines the primary, long-term trend. Lower Timeframe (LTF) Signal Trigger: A faster EMA (default: 20) is calculated on the current chart timeframe (1H). This is used for precise entry and exit timing. Long Entry Conditions (All must be true): Trend Alignment: The LTF EMA (20) must be above the HTF EMA (50). Price Position: The current closing price must be above the HTF EMA (50), confirming the bullish trend. Entry Trigger: The closing price must cross above the LTF EMA (20). Exit Condition (for Long Positions): The strategy closes any open long position when: The LTF EMA (20) is below the HTF EMA (50) (counter-trend), and The closing price crosses below the LTF EMA (20). Key Features & Configuration Strategy Configuration: It uses a strategy script, which can perform backtesting and forward-testing. Initial Capital: $1,000. Order Sizing: 100% of equity per trade (default_qty_value = 100). Pyramiding: Only 1 active position is allowed at a time (pyramiding = 1). Commission: 0.1% is factored into calculations. Order Execution: Orders are executed at the close of the 1-hour bar where the signal appears (process_orders_on_close=true). Visualization: The HTF EMA (50) is plotted as a thick purple line. The LTF EMA (20) is plotted as an orange line. Green upward triangles below the bar indicate Long Entry signals. Red downward triangles above the bar indicate Exit (Short) signals. Summary In essence, this strategy aims to "buy the dip" within a larger uptrend. It waits for the higher timeframe to be bullish, and then enters on a short-term pullback to the faster moving average. It exits the trade when the shorter-term trend turns bearish relative to the longer-term trend. It does not take short/sell positions; it only goes long or is out of the market.
Stratégie Pine Script®
par Benjamin_1706
1
MTRADE ATR SL FINDERAverage True Range Stop Loss Finder (ATR) This indicator automatically calculates dynamic stop-loss levels based on market volatility using the Average True Range (ATR) formula. It provides both Long and Short stop levels derived from ATR values and adapts them in real time as volatility changes. 🔍 Features Adjustable ATR Length (default: 20) Four smoothing methods: RMA, SMA, EMA, WMA Configurable Multiplier (default: 1.5× ATR) Real-time High (Short Stop) and Low (Long Stop) lines on the chart A clean on-chart table displaying: ATR value High stop level (H) Low stop level (L) — all shown with 7-decimal precision for accurate readings ⚙️ Use Cases Volatility-based stop-loss and take-profit placement Risk management and trailing-stop automation Intraday and swing trading systems using ATR-driven exits 🧠 Technical Details Built in Pine Script v5 Supports up to 7 decimal precision (precision=7) Works as an overlay, displaying ATR bands directly on price action Fully customizable colors and smoothing logic by fiyatherseydir
Indicateur Pine Script®
par fiyatherseydir
Advanced Chandelier Exit with S/R [Alpha Extract]Advanced Chandelier Exit with S/R is a precision-crafted trailing stop and market structure detection system that fuses advanced Chandelier Exit logic with intelligent, multi-timeframe support and resistance tracking. This indicator delivers adaptive trend detection, volatility-aware exit positioning, and real-time structural mapping in a clean, responsive format. By combining directional filtering, pivot zone detection, and customizable styling, Advanced Chandelier Exit with S/R is designed to give traders reliable context, strong risk management, and visually intuitive confirmation signals across all timeframes and asset classes. 🔶 Adaptive Trailing Stop Architecture At the core of Advanced Chandelier Exit with S/R is a refined Chandelier Exit mechanism that dynamically calculates trailing stops based on recent highs and lows, ATR volatility, and trend sensitivity. The system features directional memory, anchoring the stop to maintain position until a confirmed trend break occurs. This method prevents premature flips and keeps the trade aligned with sustained momentum. longStop := close > longStop ? math.max(longStop, longStop ) : longStop shortStop := close < shortStop ? math.min(shortStop, shortStop ) : shortStop 🔶 Volatility-Weighted Filtering To reduce noise and improve reaction quality, Advanced Chandelier Exit with S/R includes an optional volatility normalization filter. This system adjusts ATR output based on how elevated it is relative to its own average, effectively down-weighting erratic price moves while maintaining responsiveness in directional phases. volatilityFilter = enableVolatilityFilter ? ta.sma(baseATR, length) / baseATR : 1.0 atr = mult * baseATR * sensitivity * volatilityFilter 🔶 Trend Strength-Aware State Transitions Trend flips in Advanced Chandelier Exit with S/R are not based solely on price crossing the stop level. Instead, the system includes a momentum-derived trend strength filter that validates the legitimacy of directional shifts. This guards against weak reversals and gives stronger confidence in breakout moves. priceChange = math.abs(close - close ) avgPriceChange = ta.sma(priceChange, length) trendStrength = math.min(priceChange / avgPriceChange * 100, 200) 🔶 Multi-Timeframe Support & Resistance Zones Advanced Chandelier Exit with S/R embeds a sophisticated pivot-based structure mapping engine that automatically identifies significant price reaction levels and tracks their validity over time. It filters redundant zones, removes invalidated levels, and renders real-time support and resistance overlays based on market structure. if isUniqueLevel(ph, resistanceLevels) array.unshift(resistanceLevels, ph) if isUniqueLevel(pl, supportLevels) array.unshift(supportLevels, pl) 🔶 Dynamic Visual Encoding The indicator uses strength-scaled fills, customizable colors, and line styling to convey directional bias with clarity. Color opacity intensifies as trend strength increases, offering intuitive context at a glance. Dynamic background fills mark trend states, while S/R zones are rendered with user-defined transparency for clean integration. 🔶 Signal Detection and Alerts Directional signals are generated upon confirmed flips between long and short regimes, validated by stop crosses and strength filters. Additionally, the indicator provides S/R breakout alerts, identifying when price breaks through a key structural level. 🔶 Performance and Customization Optimizations Advanced Chandelier Exit with S/R is built with modularity and efficiency in mind. It supports full customization of stop logic, volatility sensitivity, structural lookback, S/R zone filtering, and visual display. The use of array-based data structures for S/R levels ensures consistent performance even across high-activity assets and longer lookback periods. Advanced Chandelier Exit with S/R represents the next evolution in trailing stop and structure-aware trading tools. By blending the proven logic of the Chandelier Exit system with intelligent trend strength filters and robust S/R detection, it becomes more than just a stop indicator—it becomes a complete trade management companion. Traders benefit from fewer false flips, clearer directional bias, and precise structural overlays that reinforce both breakout and reversal strategies. Whether used for swing entries, intraday positioning, or zone-based re-entries, Advanced Chandelier Exit with S/R empowers traders with responsive, intelligent logic that adapts to market conditions without compromise.
Indicateur Pine Script®
par AlphaExtract
1
HTF Candle Overlay - PO3HTF Candle Overlay Script Description This Pine Script indicator creates a visual overlay of higher timeframe (HTF) candles on your chart. It's a useful tool for multi-timeframe analysis that allows you to see higher timeframe price action context directly on your current chart without having to switch between timeframes. Main Purpose The primary purpose of this indicator is to display candles from a higher timeframe (like daily or weekly) directly on your lower timeframe chart (like 5-minute or hourly). This provides crucial context about the larger market structure while you're analyzing shorter-term price movements. Key Features Higher Timeframe Selection: You can choose any higher timeframe from the available options (1-minute to monthly), allowing you to view price action from any timeframe higher than your current chart. Customizable Appearance: Control the number of HTF candles displayed (1-10) Adjust the spacing between the candles and current price Modify candle width for better visibility Customize colors for bullish and bearish candles, wicks, and borders Real-time Updates: The current (ongoing) HTF candle updates in real-time as new price data comes in, showing you how the higher timeframe candle is developing. Time Remaining Display: An optional label shows the current HTF period and how much time remains until the candle closes, helping you time your entries and exits. Visual Warnings: The script warns you if you select a timeframe that matches your current chart timeframe. How It Works Data Retrieval: The script fetches both the current developing candle and historical candles from the selected higher timeframe using request.security() calls. Candle Processing: It stores candle data (open, high, low, close, and time) in arrays Handles both the current developing candle and past completed candles Updates the current candle in real-time as new price data comes in Visual Rendering: Draws candle bodies as boxes with appropriate bullish/bearish colors Creates wicks as lines extending from the candle bodies Places candles horizontally on your chart with proper spacing Timing Information: Calculates and displays the remaining time until the current higher timeframe candle closes Formats the time remaining in a user-friendly way (days, hours, minutes) Practical Applications Context for Trading Decisions: See where price is in relation to higher timeframe support/resistance levels. Entry and Exit Timing: Time your entries and exits based on higher timeframe candle closings. Trend Alignment: Ensure your trades align with the higher timeframe trend direction. Support/Resistance Identification: Easily identify key price levels from higher timeframes. Candle Pattern Recognition: Spot important higher timeframe candlestick patterns without switching timeframes. This indicator essentially brings the higher timeframe context directly to your current chart, allowing for more informed trading decisions that consider both short-term and long-term market structures simultaneously.
Indicateur Pine Script®
par DrodzCip