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Double Top/Bottom Screener - Today Only v3 //@version=6 indicator("Double Top/Bottom Screener - Today Only", overlay=true, max_lines_count=500) // Inputs leftBars = input.int(5, "Left Bars") rightBars = input.int(5, "Right Bars") tolerance = input.float(0.02, "Max Difference (e.g., 0.02 for 2 cents)", step=0.01) atrLength = input.int(14, "ATR Length for Normalized Distance", minval=1) requiredPeaks = input.int(3, "Required Identical Peaks", minval=2, maxval=5) // Declarations of persistent variables and arrays var array resistanceLevels = array.new(0) var array resistanceCounts = array.new(0) var array supportLevels = array.new(0) var array supportCounts = array.new(0) var array resLines = array.new(0) var array supLines = array.new(0) var bool hasDoubleTop = false var bool hasDoubleBottom = false var float doubleTopLevel = na var float doubleBottomLevel = na var int todayStart = na var float nearestDoubleLevel = na // Explicitly declared as na by default // Step 1: Identify Swing Highs/Lows swingHigh = ta.pivothigh(high, leftBars, rightBars) swingLow = ta.pivotlow(low, leftBars, rightBars) // Today's premarket start (04:00 AM ET) todayStart := timestamp(syminfo.timezone, year, month, dayofmonth, 4, 0, 0) // Clear arrays and delete lines on the first bar or new day if barstate.isfirst or (dayofmonth != dayofmonth and time >= todayStart) // Delete all existing lines only if arrays are not empty if array.size(resLines) > 0 for i = array.size(resLines) - 1 to 0 line.delete(array.get(resLines, i)) if array.size(supLines) > 0 for i = array.size(supLines) - 1 to 0 line.delete(array.get(supLines, i)) // Clear arrays array.clear(resistanceLevels) array.clear(supportLevels) array.clear(resistanceCounts) array.clear(supportCounts) array.clear(resLines) array.clear(supLines) // Reset flags and levels hasDoubleTop := false hasDoubleBottom := false doubleTopLevel := na doubleBottomLevel := na nearestDoubleLevel := na // Ensure reset on new day // Add new swings only if today and after premarket if not na(swingHigh) and time >= todayStart and dayofmonth == dayofmonth bool isEqualHigh = false int peakIndex = -1 float prevLevel = na if array.size(resistanceLevels) > 0 for i = 0 to array.size(resistanceLevels) - 1 prevLevel := array.get(resistanceLevels, i) if math.abs(swingHigh - prevLevel) <= tolerance isEqualHigh := true peakIndex := i break if isEqualHigh and peakIndex >= 0 array.set(resistanceCounts, peakIndex, array.get(resistanceCounts, peakIndex) + 1) if array.get(resistanceCounts, peakIndex) == requiredPeaks hasDoubleTop := true doubleTopLevel := prevLevel else array.push(resistanceLevels, swingHigh) array.push(resistanceCounts, 1) line newResLine = line.new(bar_index - rightBars, swingHigh, bar_index, swingHigh, color=color.red, width=2, extend=extend.none) array.push(resLines, newResLine) if not na(swingLow) and time >= todayStart and dayofmonth == dayofmonth bool isEqualLow = false int peakIndex = -1 float prevLevel = na if array.size(supportLevels) > 0 for i = 0 to array.size(supportLevels) - 1 prevLevel := array.get(supportLevels, i) if math.abs(swingLow - prevLevel) <= tolerance isEqualLow := true peakIndex := i break if isEqualLow and peakIndex >= 0 array.set(supportCounts, peakIndex, array.get(supportCounts, peakIndex) + 1) if array.get(supportCounts, peakIndex) == requiredPeaks hasDoubleBottom := true doubleBottomLevel := prevLevel else array.push(supportLevels, swingLow) array.push(supportCounts, 1) line newSupLine = line.new(bar_index - rightBars, swingLow, bar_index, swingLow, color=color.green, width=2, extend=extend.none) array.push(supLines, newSupLine) // Monitor and remove broken levels/lines; reset pattern if the equal level breaks if array.size(resistanceLevels) > 0 for i = array.size(resistanceLevels) - 1 to 0 float level = array.get(resistanceLevels, i) if close > level line.delete(array.get(resLines, i)) array.remove(resLines, i) array.remove(resistanceLevels, i) array.remove(resistanceCounts, i) if level == doubleTopLevel hasDoubleTop := false doubleTopLevel := na nearestDoubleLevel := na // Reset if level breaks if array.size(supportLevels) > 0 for i = array.size(supportLevels) - 1 to 0 float level = array.get(supportLevels, i) if close < level line.delete(array.get(supLines, i)) array.remove(supLines, i) array.remove(supportLevels, i) array.remove(supportCounts, i) if level == doubleBottomLevel hasDoubleBottom := false doubleBottomLevel := na nearestDoubleLevel := na // Reset if level breaks // Limit arrays (after removals) if array.size(resistanceLevels) > 10 line oldLine = array.shift(resLines) line.delete(oldLine) array.shift(resistanceLevels) array.shift(resistanceCounts) if array.size(supportLevels) > 10 line oldLine = array.shift(supLines) line.delete(oldLine) array.shift(supportLevels) array.shift(supportCounts) // Pattern Signal: 1 only if the exact required number of peaks is met patternSignal = (hasDoubleTop or hasDoubleBottom) ? 1 : 0 // New: Nearest Double Level Price - Only update if pattern is active today if time >= todayStart and dayofmonth == dayofmonth // Restrict to today if (hasDoubleTop and not na(doubleTopLevel)) or (hasDoubleBottom and not na(doubleBottomLevel)) if hasDoubleTop and not na(doubleTopLevel) nearestDoubleLevel := doubleTopLevel if hasDoubleBottom and not na(doubleBottomLevel) nearestDoubleLevel := na(nearestDoubleLevel) ? doubleBottomLevel : (math.abs(close - doubleBottomLevel) < math.abs(close - nearestDoubleLevel) ? doubleBottomLevel : nearestDoubleLevel) else nearestDoubleLevel := na // Reset to na if no pattern today else nearestDoubleLevel := na // Reset for historical bars // New: Distance to Nearest Level (using ATR for normalization) var float atr = ta.atr(atrLength) var float distanceNormalizedATR = na if not na(nearestDoubleLevel) and not na(atr) and atr > 0 distanceNormalizedATR := math.abs(close - nearestDoubleLevel) / atr // Outputs plot(patternSignal, title="Pattern Signal", color=patternSignal == 1 ? color.purple : na, style=plot.style_circles) plot(nearestDoubleLevel, title="Nearest Double Level Price", color=color.orange) plot(distanceNormalizedATR, title="Normalized Distance (ATR)", color=color.green) bgcolor(patternSignal == 1 ? color.new(color.purple, 80) : na) if patternSignal == 1 and barstate.isconfirmed alert("Double Pattern detected on " + syminfo.ticker + " at " + str.tostring(close), alert.freq_once_per_bar_close) if barstate.islast var table infoTable = table.new(position.top_right, 1, 3, bgcolor=color.new(color.black, 50)) table.cell(infoTable, 0, 0, "Pattern: " + str.tostring(patternSignal), bgcolor=patternSignal == 1 ? color.purple : color.gray) table.cell(infoTable, 0, 1, "Level: " + str.tostring(nearestDoubleLevel, "#.##"), bgcolor=color.orange) table.cell(infoTable, 0, 2, "ATR Dist: " + str.tostring(distanceNormalizedATR, "#.##"), bgcolor=color.green)
Indicador Pine Script®
por qwccvsgm
Nadaraya-Watson Multi-TF DashboardThis script is a Multi-Timeframe Flip State Dashboard based on Nadaraya-Watson: Rational Quadratic Kernel (Non-Repainting) indicator. It visualizes trend "flip" states across up to 8 custom timeframes using a consistent, non-repainting methodology. Built on 1-minute data, each timeframe row in the table updates only after its bar fully closes, ensuring accuracy and eliminating repainting issues. Key features: ✅ Based on the Nadaraya-Watson Rational Quadratic Kernel, used to estimate trend direction 🧠 Each timeframe uses the same base 1-minute data for consistency across resolutions 🔄 Flip state detection is defined by slope reversals in the kernel regression 🧱 Fully supports non-repainting, close-confirmed states using lookahead=off 🧮 Configurable lookback window, kernel weighting, lag, and timeframes 🎨 Visual dashboard plots each TF’s state as a colored cell (green for bullish, red for bearish) 🛠️ Includes inline plots and debug traces to help visualize regression and flip logic This dashboard is ideal for traders who want a compact visual overview of confirmed trend shifts across multiple timeframes, all using a mathematically grounded, TF-consistent model.
Indicador Pine Script®
por TomKirk
ORB 15m + MAs (v4.1)Session ORB Live Pro — Pre-Market Boxes & MA Suite (v4.1) What it is A precision Opening Range Breakout (ORB) tool that anchors every session to one specific 15-minute candle—then projects that same high/low onto lower timeframes so your 1m/5m levels always match the source 15m bar. Perfect for scalpers who want session structure without drift. What it draws Asia, Pre-London, London, Pre-New York, New York session boxes. On 15m: only the high/low of the first 15-minute bar of each window (optionally persists for extra bars). On 5m: mirrors the same 15m range, visible up to 10 bars. On 1m: mirrors the same 15m range, visible up to 15 bars. Levels update live while the 15m candle is forming, then lock. Fully editable windows (easy UX) Change session times with TradingView’s native input.session fields using the familiar format HHMM-HHMM:1234567. You can tweak each window independently: Asia Pre-London London Pre-New York New York Multi-TF logic (no guesswork) Designed to show only on 1m, 5m, 15m (by default). 15m = ground truth. Lower timeframes never “recalculate a different range”—they mirror the 15m bar for that session, exactly. Alerts Optional breakout alerts when price closes above/below the session range. Clean visuals Per-session color controls (box + lines). Boxes extend only for the configured number of bars per timeframe, keeping charts uncluttered. Built-in MA suite SMA 50 and RMA 200. Three extra MAs (SMA/EMA/RMA/WMA/HMA) with selectable color, width, and style (line, stepline, circles). Why traders like it Consistency: Lower-TF ranges always match the 15m source bar. Speed: You see structure immediately—no waiting for N bars. Control: Edit session times directly; tune how long boxes stay on chart per TF. Clarity: Minimal, purposeful plotting with alerts when it matters. Quick start Set your session times via the five input.session fields. Choose how long boxes persist on 1m/5m/15m. Enable alerts if you want instant breakout notifications. (Optional) Configure the MA suite for trend/bias context. Best for Intraday traders and scalpers who rely on repeatable session behavior and demand exact cross-TF alignment of ORB levels.
Indicador Pine Script®
por CarlosVillacis82
Price–MA Separation (Z-Score)Price–MA Separation (Z-Score + Shading) This indicator measures how far price is from a chosen moving average and shows it in a separate pane. It helps traders quickly spot overextended moves and mean-reversion opportunities. ⸻ What it does • Calculates the separation between price and a moving average (MA): • In Points (Price − MA) • In Percent ((Price / MA − 1) × 100%) • Converts that separation into a Z-Score (statistical measure of deviation): • Z = (Separation − Mean) ÷ StdDev • Highlights when price is unusually far from the MA relative to its recent history. ⸻ Visuals • Histogram bars: • Green = above the MA, • Orange = below the MA. • Intensity increases with larger Z-Scores. • Zero line: red baseline (price = MA). • Z threshold lines: • +T1 = light red (mild overbought) • +T2 = dark red (strong overbought) • −T1 = light green (mild oversold) • −T2 = dark green (strong oversold) • Default thresholds: ±1 and ±2. ⸻ Settings • MA Type & Length: Choose between SMA, EMA, WMA, VWMA, or SMMA (RMA). • Units: Show separation in Points or Percent. • Plot Mode: • Raw = distance in points/percent. • Z-Score = standardized deviation (default). • Absolute Mode: Show only magnitude (ignore direction). • Smoothing: Overlay a smoothed line on the histogram. • Z-Bands: Visual guides at ± thresholds. ⸻ How to use • Look for large positive Z-Scores (red zones): price may be stretched far above its MA. • Look for large negative Z-Scores (green zones): price may be stretched far below its MA. • Use as a mean-reversion signal or to confirm trend exhaustion. • Works well with: • Swing entries/exits • Overbought/oversold conditions • Filtering other signals (RSI, MACD, VWAP) ⸻ Notes • Z-Scores depend on the lookback window (default = 100 bars). Adjust for shorter/longer memory. • Strong deviations don’t always mean reversal—combine with other tools for confirmation. • Not financial advice. Always manage risk. ⸻ Try adjusting the MA length and Z-Score thresholds to fit your trading style.
Indicador Pine Script®
por Leree123
LT's RSI Invalidation Targets//@version=5 indicator("Triple RSI Divergence", overlay=true) // === INPUTS === rsiLength = input.int(14, title="RSI Length") src = input.source(close, "Source") lookback = input.int(50, title="Lookback Period") // === RSI === rsi = ta.rsi(src, rsiLength) // === Find local peaks and troughs === isTop = ta.pivothigh(rsi, 5, 5) isBottom = ta.pivotlow(rsi, 5, 5) var float rsiTroughs = array.new_float() var float priceTroughs = array.new_float() var int rsiTroughBars = array.new_int() if isBottom array.unshift(rsiTroughs, rsi ) array.unshift(priceTroughs, low ) array.unshift(rsiTroughBars, bar_index ) if array.size(rsiTroughs) > 3 array.pop(rsiTroughs) array.pop(priceTroughs) array.pop(rsiTroughBars) // === Check for triple bullish divergence === bullDiv = false if array.size(rsiTroughs) == 3 r1 = array.get(rsiTroughs, 2) r2 = array.get(rsiTroughs, 1) r3 = array.get(rsiTroughs, 0) p1 = array.get(priceTroughs, 2) p2 = array.get(priceTroughs, 1) p3 = array.get(priceTroughs, 0) // Price: Lower lows, RSI: Higher lows if p1 > p2 and p2 > p3 and r1 < r2 and r2 < r3 bullDiv := true label.new(array.get(rsiTroughBars, 0), low, "Triple Bullish Divergence", style=label.style_label_up, color=color.green, textcolor=color.white) // === Same for triple bearish divergence === var float rsiPeaks = array.new_float() var float pricePeaks = array.new_float() var int rsiPeakBars = array.new_int() if isTop array.unshift(rsiPeaks, rsi ) array.unshift(pricePeaks, high ) array.unshift(rsiPeakBars, bar_index ) if array.size(rsiPeaks) > 3 array.pop(rsiPeaks) array.pop(pricePeaks) array.pop(rsiPeakBars) bearDiv = false if array.size(rsiPeaks) == 3 r1 = array.get(rsiPeaks, 2) r2 = array.get(rsiPeaks, 1) r3 = array.get(rsiPeaks, 0) p1 = array.get(pricePeaks, 2) p2 = array.get(pricePeaks, 1) p3 = array.get(pricePeaks, 0) // Price: Higher highs, RSI: Lower highs if p1 < p2 and p2 < p3 and r1 > r2 and r2 > r3 bearDiv := true label.new(array.get(rsiPeakBars, 0), high, "Triple Bearish Divergence", style=label.style_label_down, color=color.red, textcolor=color.white)
Indicador Pine Script®
por FirstKLR
BOCS Channel Scalper Strategy - Automated Mean Reversion System# BOCS Channel Scalper Strategy - Automated Mean Reversion System ## WHAT THIS STRATEGY DOES: This is an automated mean reversion trading strategy that identifies consolidation channels through volatility analysis and executes scalp trades when price enters entry zones near channel boundaries. Unlike breakout strategies, this system assumes price will revert to the channel mean, taking profits as price bounces back from extremes. Position sizing is fully customizable with three methods: fixed contracts, percentage of equity, or fixed dollar amount. Stop losses are placed just outside channel boundaries with take profits calculated either as fixed points or as a percentage of channel range. ## KEY DIFFERENCE FROM ORIGINAL BOCS: **This strategy is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities: - **Original BOCS**: 1-3 signals per channel (only on breakout) - **Scalper Version**: 5-15+ signals per channel (every touch of entry zones) - **Trade Style**: Mean reversion vs trend following - **Hold Time**: Seconds to minutes vs minutes to hours - **Best Markets**: Ranging/choppy conditions vs trending breakouts This makes the scalper ideal for active day traders who want continuous opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased trade frequency also means higher commission costs and requires tighter risk management. ## TECHNICAL METHODOLOGY: ### Price Normalization Process: The strategy normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis. ### Volatility Detection: A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars). ### Channel Formation Logic: When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The strategy tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas. ### Entry Signal Generation: The strategy uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%): - **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2) - **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2) Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. This captures mean reversion opportunities as price reaches channel extremes. ### Cooldown Filter: An optional cooldown period (measured in bars) prevents signal spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long signal will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period. ### ATR Volatility Filter: The strategy includes a multi-timeframe ATR filter to avoid trading during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while trading on 5-minute charts). The filter compares current ATR to a user-defined minimum threshold: - If ATR ≥ threshold: Trading enabled - If ATR < threshold: No signals fire This prevents entries during dead zones where mean reversion is unreliable due to insufficient price movement. ### Take Profit Calculation: Two TP methods are available: **Fixed Points Mode**: - Long TP = Entry + (TP_Ticks × syminfo.mintick) - Short TP = Entry - (TP_Ticks × syminfo.mintick) **Channel Percentage Mode**: - Long TP = Entry + (ChannelRange × TP_Percent) - Short TP = Entry - (ChannelRange × TP_Percent) Default 50% targets the channel midline, a natural mean reversion target. Larger percentages aim for opposite channel edge. ### Stop Loss Placement: Stop losses are placed just outside the channel boundary by a user-defined tick offset: - Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick) - Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick) This logic assumes channel breaks invalidate the mean reversion thesis. If price breaks through, the range is no longer valid and position exits. ### Trade Execution Logic: When entry conditions are met (price in zone, cooldown satisfied, ATR filter passed, no existing position): 1. Calculate entry price at zone boundary 2. Calculate TP and SL based on selected method 3. Execute strategy.entry() with calculated position size 4. Place strategy.exit() with TP limit and SL stop orders 5. Update info table with active trade details The strategy enforces one position at a time by checking strategy.position_size == 0 before entry. ### Channel Breakout Management: Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations. ### Position Sizing System: Three methods calculate position size: **Fixed Contracts**: - Uses exact contract quantity specified in settings - Best for futures traders (e.g., "trade 2 NQ contracts") **Percentage of Equity**: - position_size = (strategy.equity × equity_pct / 100) / close - Dynamically scales with account growth **Cash Amount**: - position_size = cash_amount / close - Maintains consistent dollar exposure regardless of price ## INPUT PARAMETERS: ### Position Sizing: - **Position Size Type**: Choose Fixed Contracts, % of Equity, or Cash Amount - **Number of Contracts**: Fixed quantity per trade (1-1000) - **% of Equity**: Percentage of account to allocate (1-100%) - **Cash Amount**: Dollar value per position ($100+) ### Channel Settings: - **Nested Channels**: Allow multiple overlapping channels vs single channel - **Normalization Length**: Lookback for high/low calculation (1-500, default 100) - **Box Detection Length**: Period for volatility detection (1-100, default 14) ### Scalping Settings: - **Enable Long Scalps**: Toggle long entries on/off - **Enable Short Scalps**: Toggle short entries on/off - **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%) - **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5) - **Cooldown Period (Bars)**: Minimum spacing between signals (0 = no cooldown) ### ATR Filter: - **Enable ATR Filter**: Toggle volatility filter on/off - **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.) - **ATR Length**: Smoothing period (1-100, default 14) - **Min ATR Value**: Threshold for trade enablement (0.1+, default 10.0) ### Take Profit Settings: - **TP Method**: Choose Fixed Points or % of Channel - **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30) - **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%) ### Appearance: - **Show Entry Zones**: Toggle zone labels on channels - **Show Info Table**: Display real-time strategy status - **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right) - **Color Settings**: Customize long/short/TP/SL colors ## VISUAL INDICATORS: - **Channel boxes** with semi-transparent fill showing consolidation zones - **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼" - **Entry signal arrows** below/above bars marking long/short entries - **Active TP/SL lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL) - **Info table** showing position status, channel state, last signal, entry/TP/SL prices, and ATR status ## HOW TO USE: ### For 1-3 Minute Scalping (NQ/ES): - ATR Timeframe: "1" (1-minute) - ATR Min Value: 10.0 (for NQ), adjust per instrument - Entry Zone %: 20-25% - TP Method: Fixed Points, 20-40 ticks - SL Offset: 5-10 ticks - Cooldown: 2-3 bars - Position Size: 1-2 contracts ### For 5-15 Minute Day Trading: - ATR Timeframe: "5" or match chart - ATR Min Value: Adjust to instrument (test 8-15 for NQ) - Entry Zone %: 20-30% - TP Method: % of Channel, 40-60% - SL Offset: 5-10 ticks - Cooldown: 3-5 bars - Position Size: Fixed contracts or 5-10% equity ### For 30-60 Minute Swing Scalping: - ATR Timeframe: "15" or "30" - ATR Min Value: Lower threshold for broader market - Entry Zone %: 25-35% - TP Method: % of Channel, 50-70% - SL Offset: 10-15 ticks - Cooldown: 5+ bars or disable - Position Size: % of equity recommended ## BACKTEST CONSIDERATIONS: - Strategy performs best in ranging, mean-reverting markets - Strong trending markets produce more stop losses as price breaks channels - ATR filter significantly reduces trade count but improves quality during low volatility - Cooldown period trades signal quantity for signal quality - Commission and slippage materially impact sub-5-minute timeframe performance - Shorter timeframes require tighter entry zones (15-20%) to catch quick reversions - % of Channel TP adapts better to varying channel sizes than fixed points - Fixed contract sizing recommended for consistent risk per trade in futures **Backtesting Parameters Used**: This strategy was developed and tested using realistic commission and slippage values to provide accurate performance expectations. Recommended settings: Commission of $1.40 per side (typical for NQ futures through discount brokers), slippage of 2 ticks to account for execution delays on fast-moving scalp entries. These values reflect real-world trading costs that active scalpers will encounter. Backtest results without proper cost simulation will significantly overstate profitability. ## COMPATIBLE MARKETS: Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features require data feed with volume information but are optional for core functionality. ## KNOWN LIMITATIONS: - Immediate touch entry can fire multiple times in choppy zones without adequate cooldown - Channel deletion at 10-tick breaks may be too aggressive or lenient depending on instrument tick size - ATR filter from lower timeframes requires higher-tier TradingView subscription (request.security limitation) - Mean reversion logic fails in strong breakout scenarios leading to stop loss hits - Position sizing via % of equity or cash amount calculates based on close price, may differ from actual fill price - No partial closing capability - full position exits at TP or SL only - Strategy does not account for gap openings or overnight holds ## RISK DISCLOSURE: Trading involves substantial risk of loss. Past performance does not guarantee future results. This strategy is for educational purposes and backtesting only. Mean reversion strategies can experience extended drawdowns during trending markets. Stop losses may not fill at intended levels during extreme volatility or gaps. Thoroughly test on historical data and paper trade before risking real capital. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Automated trading systems can malfunction - monitor all live positions actively. ## ACKNOWLEDGMENT & CREDITS: This strategy is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the TradingView community. Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based signals, multi-timeframe ATR volatility filtering, flexible position sizing (fixed/percentage/cash), cooldown period filtering, dual TP methods (fixed points vs channel percentage), automated strategy execution with exit management, and real-time position monitoring table.
Estratégia Pine Script®
por TradeManager_PRO
Opening Range BoxThis indicator, called the "Opening Range Box," is a visual tool that helps you track the start of key trading sessions like London and New York (or whatever session you set). It does three main things: Finds the Daily 'First Move': It automatically calculates the High and Low reached during the first 30 minutes (or whatever time you set) of each defined session. Draws a Box: It immediately draws a colored, transparent box on your chart from the moment the session starts. The top of the box is the OR High, and the bottom is the OR Low. This box acts as a clear reference for the session's initial boundaries. Extends the Levels: After the initial 30 minutes are over, the box stops growing vertically (it locks in the OR High/Low) but continues to stretch out horizontally for the rest of the trading session. This allows you to easily see how the price reacts to the opening levels throughout the day. In short: It visually highlights the most important price levels established at the very beginning of the major market sessions.
Indicador Pine Script®
por andrejsemjonovs
Three 20MA (automatically set for each time frame)Three 20MAs (automatically set for each time frame. By using only the 20SMA for each time frame, you can unify how you view the chart and check the consistency of direction between each time frame. 20MA＋ default_ma2 = tf == "1" ? 100 : tf == "5" ? 120 : tf == "15" ? 80 : tf == "30" ? 160 : tf == "60" ? 80 : tf == "240" ? 120 : tf == "D" ? 100 : tf == "W" ? 90 : tf == "M" ? 60 : 80 default_ma3 = tf == "1" ? 300 : tf == "5" ? 240 : tf == "15" ? 320 : tf == "30" ? 960 : tf == "60" ? 480 : tf == "240" ? 600 : tf == "D" ? 400 : tf == "W" ? 400 : tf == "M" ? 240 : 320
Indicador Pine Script®
por hmp5below
1
CFR - Candle Formation RatioDescription This indicator is designed to detect candles with small bodies and significant wick-to-body ratios, often useful for identifying doji-like structures and potential accumulation areas. Features Filter candles by maximum body size (% of the total candle range). Require that wicks are at least X times larger than the body. Define the position of the body within the candle (e.g., body must be between 40% and 60% of the candle height). Visual output: a single arrow marker when conditions are met. Fully customizable marker color and size. ⚠️ Note: The settings of this version are currently in Turkish. An English version of the settings will be released in the future.
Indicador Pine Script®
por Beyazmo
1
NY 14:30 High/Low - 1mThis indicator automatically draws horizontal lines for the High (green) and Low (red) of the 14:30 (Lisbon) candle on the 1-minute chart. It is designed for traders who want to quickly identify the New York open levels (NY Open), allowing you to: Visualize the NY market opening zone. Use these levels as intraday support or resistance. Plan entries and exits based on breakouts or pullbacks. Features: Works on any 1-minute chart. Lines are drawn immediately after the 14:30 candle closes. Lines extend automatically to the right. Simple and lightweight, no complex variables or external dependencies. Daily reset, always showing the current day’s levels. Recommended Use: Combine with support/resistance zones, order blocks, or fair value gaps. Monitor price behavior during the NY open to identify breakout or rejection patterns.
Indicador Pine Script®
por AR17_17
EMA Regime (9/20/50/100/200) — Stacked with 200 FilterEMA Regime (9/20/50/100/200) — Stacked Long/Short Box Plots the 9, 20, 50, 100, and 200 EMAs on the chart. Checks if price is above or below each EMA and whether the EMAs are stacked in order. LONG signal: price above all selected EMAs and EMAs stacked 9 > 20 > 50 > 100 >(> 200 if strict mode on). SHORT signal: price below all selected EMAs and EMAs stacked 9 < 20 < 50 < 100 (< 200 if strict mode on). Shows a two-row table (LONGS / SHORTS) so you can quickly see which EMAs are aligned. Optionally colors candles green/red when a full long/short regime is active. Can show labels when a new LONG or SHORT condition appears. Has alerts you can use for automated notifications when the regime flips. “Use 200 EMA in the stack” lets you choose ultra-strict mode (9>20>50>100>200) or lighter mode (9>20>50>100 but price & 9 above 200).
Indicador Pine Script®
por jamesmchugh44
Volume weighted Forex Overwiew True Strenght IndexAdding volume weighting to the FOTSI strategy improves its effectiveness by making the indicator more sensitive to periods of high market activity. Here’s how: Market Relevance: Futures volume reflects institutional and large trader participation. When volume is high, price moves are more likely to be meaningful and less likely to be noise. Dynamic Weighting: By multiplying each currency’s momentum by its normalized futures volume, the indicator gives more weight to currencies that are actively traded at that moment, making signals more robust. Filtering Out Noise: Low-volume periods are down-weighted, reducing the impact of illiquid or less relevant price changes. Better Timing: Signals generated during high-volume periods are more likely to coincide with real market moves, improving entry and exit timing.
Indicador Pine Script®
por dragos_cocos_dev