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Alson Chew PAM EXE and Mother BarIndicators for strategies taught by Alson Chew's Price Action Manipulation (PAM) course Two functions. First it identifies EXE bars (Pin, Mark, Icecream bars). Second it identifies Mother bars and draws an extension line for 6 bars. Applicable to all time frames and can customise how many signals to show. To be used in conjunction with trading strategies like - 20 SMA, 50 SMA, 200 SMA FS formation - Force Bottom, Force Top FS formation - UR1 and DR1 using EXE Bar
Индикатор Pine Script®
от LimYX
1
猛の掟・初動完成版//@version=5 indicator("猛の掟・初動スクリーナー_完成版", overlay=true) // ============================= // 入力パラメータ // ============================= emaLenShort = input.int(5, "短期EMA", minval=1) emaLenMid = input.int(13, "中期EMA", minval=1) emaLenLong = input.int(26, "長期EMA", minval=1) macdFastLen = input.int(12, "MACD Fast", minval=1) macdSlowLen = input.int(26, "MACD Slow", minval=1) macdSignalLen = input.int(9, "MACD Signal", minval=1) macdZeroTh = input.float(0.2, "MACDゼロライン近辺とみなす許容値", step=0.05) volMaLen = input.int(5, "出来高平均日数", minval=1) volMinRatio = input.float(1.3, "出来高倍率(初動判定しきい値)", step=0.1) volStrongRatio = input.float(1.5, "出来高倍率(本物/三点シグナル用)", step=0.1) highLookback = input.int(60, "直近高値の参照本数", minval=10) pullbackMin = input.float(5.0, "押し目最小 ", step=0.5) pullbackMax = input.float(15.0, "押し目最大 ", step=0.5) breakLookback = input.int(15, "レジブレ後とみなす本数", minval=1) wickBodyMult = input.float(2.0, "ピンバー:下ヒゲが実体の何倍以上か", step=0.5) // ★ シグナル表示 ON/OFF showMou = input.bool(true, "猛シグナルを表示") showKaku = input.bool(true, "確シグナルを表示") // ============================= // 基本指標計算 // ============================= emaShort = ta.ema(close, emaLenShort) emaMid = ta.ema(close, emaLenMid) emaLong = ta.ema(close, emaLenLong) = ta.macd(close, macdFastLen, macdSlowLen, macdSignalLen) volMa = ta.sma(volume, volMaLen) volRatio = volMa > 0 ? volume / volMa : 0.0 recentHigh = ta.highest(high, highLookback) prevHigh = ta.highest(high , highLookback) pullbackPct = recentHigh > 0 ? (recentHigh - close) / recentHigh * 100.0 : 0.0 // ローソク足 body = math.abs(close - open) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low // ============================= // A：トレンド条件 // ============================= emaUp = emaShort > emaShort and emaMid > emaMid and emaLong > emaLong goldenOrder = emaShort > emaMid and emaMid > emaLong aboveEma2 = close > emaLong and close > emaLong trendOK = emaUp and goldenOrder and aboveEma2 // ============================= // B：MACD条件 // ============================= macdGC = ta.crossover(macdLine, macdSignal) macdNearZero = math.abs(macdLine) <= macdZeroTh macdUp = macdLine > macdLine macdOK = macdGC and macdNearZero and macdUp // ============================= // C：出来高条件 // ============================= volInitOK = volRatio >= volMinRatio // 8条件用 volStrongOK = volRatio >= volStrongRatio // 三点シグナル用 volumeOK = volInitOK // ============================= // D：ローソク足パターン // ============================= isBullPinbar = lowerWick > wickBodyMult * body and lowerWick > upperWick and close >= open isBullEngulf = close > open and open < close and close > open isBigBullCross = close > emaShort and close > emaMid and open < emaShort and open < emaMid and close > open candleOK = isBullPinbar or isBullEngulf or isBigBullCross // ============================= // E：価格帯（押し目＆レジブレ） // ============================= pullbackOK = pullbackPct >= pullbackMin and pullbackPct <= pullbackMax isBreakout = close > prevHigh and close <= prevHigh barsSinceBreak = ta.barssince(isBreakout) afterBreakZone = barsSinceBreak >= 0 and barsSinceBreak <= breakLookback afterBreakPullbackOK = afterBreakZone and pullbackOK and close > emaShort priceOK = pullbackOK and afterBreakPullbackOK // ============================= // 8条件の統合 // ============================= allRulesOK = trendOK and macdOK and volumeOK and candleOK and priceOK // ============================= // 最終三点シグナル // ============================= longLowerWick = lowerWick > wickBodyMult * body and lowerWick > upperWick macdGCAboveZero = ta.crossover(macdLine, macdSignal) and macdLine > 0 volumeSpike = volStrongOK finalThreeSignal = longLowerWick and macdGCAboveZero and volumeSpike buyConfirmed = allRulesOK and finalThreeSignal // ============================= // 描画 // ============================= plot(emaShort, color=color.new(color.yellow, 0), title="EMA 短期(5)") plot(emaMid, color=color.new(color.orange, 0), title="EMA 中期(13)") plot(emaLong, color=color.new(color.blue, 0), title="EMA 長期(26)") // シグナル表示（ON/OFF付き） plotshape(showMou and allRulesOK, title="猛の掟 8条件クリア候補", location=location.belowbar, color=color.new(color.lime, 0), text="猛") plotshape(showKaku and buyConfirmed, title="猛の掟 最終三点シグナル確定", location=location.belowbar, color=color.new(color.yellow, 0), text="確") // ============================= // アラート条件 // ============================= alertcondition(allRulesOK, title="猛の掟 8条件クリア候補", message="猛の掟 8条件クリア候補シグナル発生") alertcondition(buyConfirmed, title="猛の掟 最終三点シグナル確定", message="猛の掟 最終三点シグナル＝買い確定")
Индикатор Pine Script®
от morishima0ut6b
Stochastic + MACD Alignment Signals//@version=5 indicator("Stochastic + MACD Alignment Signals", overlay=true) // ————— INPUTS ————— stochLength = input.int(14, "Stoch Length") k = input.int(3, "K Smoothing") d = input.int(3, "D Smoothing") macdFast = input.int(12, "MACD Fast Length") macdSlow = input.int(26, "MACD Slow Length") macdSignal = input.int(9, "MACD Signal Length") emaLen = input.int(21, "EMA Filter Length") // ————— CALCULATIONS ————— // Stochastic kRaw = ta.stoch(close, high, low, stochLength) kSmooth = ta.sma(kRaw, k) dSmooth = ta.sma(kSmooth, d) // MACD macd = ta.ema(close, macdFast) - ta.ema(close, macdSlow) signal = ta.ema(macd, macdSignal) hist = macd - signal // EMA Filter ema = ta.ema(close, emaLen) // ————— SIGNAL CONDITIONS ————— // BUY CONDITIONS stochBull = ta.crossover(kSmooth, dSmooth) and kSmooth < 20 macdBull = ta.crossover(macd, signal) or (hist > 0) emaBull = close > ema buySignal = stochBull and macdBull and emaBull // SELL CONDITIONS stochBear = ta.crossunder(kSmooth, dSmooth) and kSmooth > 80 macdBear = ta.crossunder(macd, signal) or (hist < 0) emaBear = close < ema sellSignal = stochBear and macdBear and emaBear // ————— PLOTTING SIGNALS ————— plotshape(buySignal, title="BUY", style=shape.labelup, color=color.new(color.green, 0), size=size.large, text="BUY") plotshape(sellSignal, title="SELL", style=shape.labeldown, color=color.new(color.red, 0), size=size.large, text="SELL") // ————— OPTIONAL ALERTS ————— alertcondition(buySignal, title="Buy Signal", message="Stoch + MACD Alignment BUY") alertcondition(sellSignal, title="Sell Signal", message="Stoch + MACD Alignment SELL")
Индикатор Pine Script®
от jcuria03
Gyspy Bot Trade Engine - V1.2B - Alerts - 12-7-25 - SignalLynxGypsy Bot Trade Engine (MK6 V1.2B) - Alerts & Visualization Brought to you by Signal Lynx | Automation for the Night-Shift Nation 🌙 1. Executive Summary & Architecture Gypsy Bot (MK6 V1.2B) is not merely a strategy; it is a massive, modular Trade Engine built specifically for the TradingView Pine Script V6 environment. While most tools rely on a single dominant indicator to generate signals, Gypsy Bot functions as a sophisticated Consensus Algorithm. Note: This is the Indicator / Alerts version of the engine. It is designed for visual analysis and generating live alert signals for automation. If you wish to see Backtest data (Equity Curves, Drawdown, Profit Factors), please use the Strategy version of this script. The engine calculates data from up to 12 distinct Technical Analysis Modules simultaneously on every bar closing. It aggregates these signals into a "Vote Count" and only fires a signal plot when a user-defined threshold of concurring signals is met. This "Voting System" acts as a noise filter, requiring multiple independent mathematical models—ranging from volume flow and momentum to cyclical harmonics and trend strength—to agree on market direction. Beyond entries, Gypsy Bot features a proprietary Risk Management suite called the Dump Protection Team (DPT). This logic layer operates independently of the entry modules, specifically scanning for "Moon" (Parabolic) or "Nuke" (Crash) volatility events to signal forced exits, preserving capital during Black Swan events. 2. ⚠️ The Philosophy of "Curve Fitting" (Must Read) One must be careful when applying Gypsy Bot to new pairs or charts. To be fully transparent: Gypsy Bot is, by definition, a very advanced curve-fitting engine. Because it grants the user granular control over 12 modules, dozens of thresholds, and specific voting requirements, it is extremely easy to "over-fit" the data. You can easily toggle switches until the charts look perfect in hindsight, only to have the signals fail in live markets because they were tuned to historical noise rather than market structure. To use this engine successfully: Visual Verification: Do not just look for "green arrows." Look for signals that occur at logical market structure points. Stability: Ensure signals are not flickering. This script uses closed-candle logic for key decisions to ensure that once a signal plots, it remains painted. Regular Maintenance is Mandatory: Markets shift regimes (e.g., from Bull Trend to Crab Range). Gypsy Bot settings should be reviewed and adjusted at regular intervals to ensure the voting logic remains aligned with current market volatility. Timeframe Recommendations: Gypsy Bot is optimized for High Time Frame (HTF) trend following. It generally produces the most reliable results on charts ranging from 1-Hour to 12-Hours, with the 4-Hour timeframe historically serving as the "sweet spot" for most major cryptocurrency assets. 3. The Voting Mechanism: How Entries Are Generated The heart of the Gypsy Bot engine is the ActivateOrders input (found in the "Order Signal Modifier" settings). The engine constantly monitors the output of all enabled Modules. Long Votes: GoLongCount Short Votes: GoShortCount If you have 10 Modules enabled, and you set ActivateOrders to 7: The engine will ONLY plot a Buy Signal if 7 or more modules return a valid "Buy" signal on the same closed candle. If only 6 modules agree, the signal is rejected. 4. Technical Deep Dive: The 12 Modules Gypsy Bot allows you to toggle the following modules On/Off individually to suit the asset you are trading. Module 1: Modified Slope Angle (MSA) Logic: Calculates the geometric angle of a moving average relative to the timeline. Function: Filters out "lazy" trends. A trend is only considered valid if the slope exceeds a specific steepness threshold. Module 2: Correlation Trend Indicator (CTI) Logic: Measures how closely the current price action correlates to a straight line (a perfect trend). Function: Ensures that we are moving up with high statistical correlation, reducing fake-outs. Module 3: Ehlers Roofing Filter Logic: A spectral filter combining High-Pass (trend removal) and Super Smoother (noise removal). Function: Isolates the "Roof" of price action to catch cyclical turning points before standard moving averages. Module 4: Forecast Oscillator Logic: Uses Linear Regression forecasting to predict where price "should" be relative to where it is. Function: Signals when the regression trend flips. Offers "Aggressive" and "Conservative" calculation modes. Module 5: Chandelier ATR Stop Logic: A volatility-based trend follower that hangs a "leash" (ATR multiple) from extremes. Function: Used as an entry filter. If price is above the Chandelier line, the trend is Bullish. Module 6: Crypto Market Breadth (CMB) Logic: Pulls data from multiple major tickers (BTC, ETH, and Perpetual Contracts). Function: Calculates "Market Health." If Bitcoin is rising but the rest of the market is dumping, this module can veto a trade. Module 7: Directional Index Convergence (DIC) Logic: Analyzes the convergence/divergence between Fast and Slow Directional Movement indices. Function: Identifies when trend strength is expanding. Module 8: Market Thrust Indicator (MTI) Logic: A volume-weighted breadth indicator using Advance/Decline and Volume data. Function: One of the most powerful modules. Confirms that price movement is supported by actual volume flow. Recommended setting: "SSMA" (Super Smoother). Module 9: Simple Ichimoku Cloud Logic: Traditional Japanese trend analysis. Function: Checks for a "Kumo Breakout." Price must be fully above/below the Cloud to confirm entry. Module 10: Simple Harmonic Oscillator Logic: Analyzes harmonic wave properties to detect cyclical tops and bottoms. Function: Serves as a counter-trend or early-reversal detector. Module 11: HSRS Compression / Super AO Logic: Detects volatility compression (HSRS) or Momentum/Trend confluence (Super AO). Function: Great for catching explosive moves resulting from consolidation. Module 12: Fisher Transform (MTF) Logic: Converts price data into a Gaussian normal distribution. Function: Identifies extreme price deviations. Uses Multi-Timeframe (MTF) logic to ensure you aren't trading against the major trend. 5. Global Inhibitors (The Veto Power) Even if 12 out of 12 modules vote "Buy," Gypsy Bot performs a final safety check using Global Inhibitors. Bitcoin Halving Logic: Prevents trading during chaotic weeks surrounding Halving events (dates projected through 2040). Miner Capitulation: Uses Hash Rate Ribbons to identify bearish regimes when miners are shutting down. ADX Filter: Prevents trading in "Flat/Choppy" markets (Low ADX). CryptoCap Trend: Checks the total Crypto Market Cap chart for broad market alignment. 6. Risk Management & The Dump Protection Team (DPT) Even in this Indicator version, the RM logic runs to generate Exit Signals. Dump Protection Team (DPT): Detects "Nuke" (Crash) or "Moon" (Pump) volatility signatures. If triggered, it plots an immediate Exit Signal (Yellow Plot). Advanced Adaptive Trailing Stop (AATS): Dynamically tightens stops in low volatility ("Dungeon") and loosens them in high volatility ("Penthouse"). Staged Take Profits: Plots TP1, TP2, and TP3 events on the chart for visual confirmation or partial exit alerts. 7. Recommended Setup Guide When applying Gypsy Bot to a new chart, follow this sequence: Set Timeframe: 4 Hours (4H). Tune DPT: Adjust "Dump/Moon Protection" inputs first. These filter out bad signals during high volatility. Tune Module 8 (MTI): Experiment with the MA Type (SSMA is recommended). Select Modules: Enable/Disable modules based on the asset's personality (Trending vs. Ranging). Voting Threshold: Adjust ActivateOrders to filter out noise. Alert Setup: Once visually satisfied, use the "Any Alert Function Call" option when creating an alert in TradingView to capture all Buy/Sell/Close events generated by the engine. 8. Technical Specs Engine Version: Pine Script V6 Repainting: This indicator uses Closed Candle data for all Risk Management and Entry decisions. This ensures that signals do not vanish after the candle closes. Visuals: Blue Plot: Buy/Sell Signal. Yellow Plot: Risk Management (RM) / DPT Close Signal. Green/Lime/Olive Plots: Take Profit hits. Disclaimer: This script is a complex algorithmic tool for market analysis. Past performance is not indicative of future results. Cryptocurrency trading involves substantial risk of loss. Use this tool to assist your own decision-making, not to replace it. 9. About Signal Lynx Automation for the Night-Shift Nation 🌙 Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management. We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to: Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search. License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
Индикатор Pine Script®
от SignalLynx
Fanfans MACD+RSIFanfans Minimalist Trading Indicator (Pine Script v6) Overview The Fanfans Minimalist Indicator is a comprehensive multi-condition trading signal tool built for TradingView (Pine Script v6). It integrates trend analysis, momentum filters, and position management rules to generate high-confidence long/short signals, with built-in risk controls to limit position exposure. Designed for clarity and practicality, it balances signal sensitivity with false-signal reduction, suitable for various assets (stocks, cryptocurrencies, forex, futures) and timeframes (1H, 4H, daily). Core Features Multi-Indicator Convergence: Combines WMA trend lines, MACD (dual-period), and RSI filters to validate signals. Position Risk Management: Limits maximum 2 concurrent positions per direction; prohibits re-entering the same direction after a stop-loss (only opposite direction allowed). Flexible Debug Mode: Loosens filters for testing purposes, helping users verify signal triggers before tightening conditions. Visual Clarity: Color-coded bars, dynamic labels, and status panels provide real-time trading context. Customizable Parameters: All key inputs (indicator periods, risk multiples, position limits) are adjustable.
Индикатор Pine Script®
от ms023999
猛の掟・初動スクリーナー v3//@version=5 indicator("猛の掟・初動スクリーナー v3", overlay=true) // =============================== // 1. 移動平均線（EMA）設定 // =============================== ema5 = ta.ema(close, 5) ema13 = ta.ema(close, 13) ema26 = ta.ema(close, 26) plot(ema5, title="EMA5", color=color.orange, linewidth=2) plot(ema13, title="EMA13", color=color.new(color.blue, 0), linewidth=2) plot(ema26, title="EMA26", color=color.new(color.gray, 0), linewidth=2) // =============================== // 2. MACD（10,26,9）設定 // =============================== fast = ta.ema(close, 10) slow = ta.ema(close, 26) macd = fast - slow signal = ta.ema(macd, 9) macdBull = ta.crossover(macd, signal) // =============================== // 3. 初動判定ロジック // =============================== // ゴールデン並び条件 goldenAligned = ema5 > ema13 and ema13 > ema26 // ローソク足が26EMAより上 priceAbove26 = close > ema26 // 3条件すべて満たすと「確」 bullEntry = goldenAligned and priceAbove26 and macdBull // =============================== // 4. スコア（0=なし / 1=猛 / 2=確） // =============================== score = bullEntry ? 2 : (goldenAligned ? 1 : 0) // =============================== // 5. スコアの色分け // =============================== scoreColor = score == 2 ? color.new(color.yellow, 0) : score == 1 ? color.new(color.lime, 0) : color.new(color.gray, 80) // =============================== // 6. スコア表示（カラム） // =============================== plot(score, title="猛スコア (0=なし,1=猛,2=確)", style=plot.style_columns, color=scoreColor, linewidth=3) // 目安ライン hline(0, "なし", color=color.new(color.gray, 80)) hline(1, "猛", color=color.new(color.lime, 60)) hline(2, "確", color=color.new(color.yellow, 60)) // =============================== // 7. チャート上に「確」ラベル // =============================== plotshape(score == 2, title="初動確定", style=shape.labelup, text="確", color=color.yellow, textcolor=color.black, size=size.tiny, location=location.belowbar)
Индикатор Pine Script®
от morishima0ut6b
MC² Tight Compression Screener v1.0//@version=5 indicator("MC² Tight Compression Screener v1.0", overlay=false) // ———————————————— // Inputs // ———————————————— lookbackHigh = input.int(50, "Near High Lookback") atrLength = input.int(14, "ATR Length") volLength = input.int(20, "Volume SMA Length") thresholdNear = input.float(0.97, "Near Break % (0.97 = within 3%)") // ———————————————— // Conditions // ———————————————— // ATR Compression: shrinking 3 days in a row atr = ta.atr(atrLength) atrCompression = atr < atr and atr < atr and atr < atr // Price is near recent highs recentHigh = ta.highest(high, lookbackHigh) nearBreak = close > recentHigh * thresholdNear // Volume not dead (preferably building) volAvg = ta.sma(volume, volLength) volOK = volume > volAvg // Final signal (binary) signal = atrCompression and nearBreak and volOK // ———————————————— // Plot (for Pine Screener) // ———————————————— plot(signal ? 1 : 0, title="MC2 Compression Signal")
Индикатор Pine Script®
от mason_fibkins
SuperWaveTrendWaveTrend with Crosses + HyperWave + Confluence Zones + Thresholds SuperWaveTrend — Advanced Momentum System Integrating WaveTrend, HyperWave, Confluence Zones & Threshold Filters SuperWaveTrend is an enhanced momentum indicator built upon the classic WaveTrend (WT) framework. It integrates HyperWave extreme zones, top/bottom Confluence Zones, trend hesitation Threshold regions, WT crossover reversal signals, and more. This indicator is suitable for: • Trend following • Swing trading • Reversal spotting • Overbought/oversold structure analysis • Extreme market sentiment detection Whether you’re scalping or planning swing entries, SuperWaveTrend offers a more precise and visually intuitive momentum structure. Key Features 1. WaveTrend Core Structure (WT1 / WT2) • WT1: Primary momentum line • WT2: Signal line • Momentum Spread Area (WT1 − WT2) visualization highlights shifts in trend strength 2. HyperWave Extreme Momentum Zones Background highlight automatically appears during extreme momentum conditions: • Purple-red: Extreme bullish zone • Orange: Extreme bearish zone Helps identify: • Blow-off tops • Panic sell-offs • Extreme trend continuation phases 3. Confluence Zones (Top/Bottom Resonance) Combines overbought/oversold signals with momentum structure to mark: • Gold top zones → weakening bullish momentum • Blue bottom zones → weakening bearish momentum Useful for detecting: • Bearish divergence tops • Reversal bounces • High-level exhaustion / low-level capitulation 4. Threshold Hesitation Zone (Gray) When WT1 and WT2 converge tightly, a gray background highlights: • Unclear direction • Trend weakening • Higher risk of false signals Generally not recommended for new entries. 5. WT Crossover Signals (Cross Signals) WT1 and WT2 crossovers are marked with color-coded dots: • Green: Bullish cross • Red: Bearish cross A core signal for capturing reversal shifts. ⚠️ Creator’s Disclaimer & Usage Insights ***WARNING*** SuperWaveTrend is not designed for extremely strong one-sided trends. During highly impulsive markets, signals may become delayed or less reliable. Optimal Timeframes Based on extensive backtesting, In swing-trading environments, the indicator performs most effectively on the 1H–4H timeframes, where momentum cycles form cleanly and Confluence Zones provide high-probability setups. Trading Insights • In swing-trading environments, Confluence Zones often coincide with excellent long/short opportunities, especially when momentum exhaustion is confirmed. • When paired with a Bollinger Bands framework, the system exhibits significantly improved accuracy and structure clarity. Have fun, BigTrunks
Индикатор Pine Script®
от BigTrunks
30-Minute High and Low30-Minute High and Low Levels This indicator plots the previous 30-minute candle’s high and low on any intraday chart. These levels are widely used by intraday traders to identify key breakout zones, liquidity pools, micro-range boundaries, and early trend direction. Features: • Automatically pulls the previous 30-minute candle using higher-timeframe HTF requests • Displays the HTF High (blue) and HTF Low (red) on lower-timeframe charts • Works on all intraday timeframes (1m, 3m, 5m, 10m, etc.) • Levels stay fixed until the next 30-minute bar completes • Ideal for ORB strategies, scalping, liquidity sweeps, and reversal traps Use Cases: • Watch for breakouts above the 30-minute high • Monitor for liquidity sweeps and fakeouts around the high/low • Treat the mid-range as a magnet during consolidation • Combine with VWAP or EMA trend structure for high-precision intraday setups This indicator is simple, fast, and designed for traders who rely on HTF micro-structure to guide intraday execution.
Индикатор Pine Script®
от MomentumCraft_
Golden Cross RSI Daily Helper (US Stocks)//@version=5 indicator("Golden Cross RSI Daily Helper (US Stocks)", overlay=true, timeframe="D", timeframe_gaps=true) //========= الإعدادات الأساسية =========// emaFastLen = input.int(50, "EMA سريع (اتجاه قصير المدى)") emaSlowLen = input.int(200, "EMA بطيء (اتجاه طويل المدى)") rsiLen = input.int(14, "فترة RSI") rsiMin = input.float(40.0, "حد RSI الأدنى للدخول", 0.0, 100.0) rsiMax = input.float(60.0, "حد RSI الأعلى للدخول", 0.0, 100.0) slBufferPerc = input.float(1.5, "نسبة البفر لوقف الخسارة (%) أسفل/أعلى EMA200", 0.1, 5.0) rrRatio = input.float(2.0, "نسبة العائد إلى المخاطرة (R:R)", 1.0, 5.0) //========= حساب المؤشرات =========// emaFast = ta.ema(close, emaFastLen) emaSlow = ta.ema(close, emaSlowLen) rsiVal = ta.rsi(close, rsiLen) // اتجاه السوق trendUp = emaFast > emaSlow trendDown = emaFast < emaSlow // ارتداد السعر من EMA50 أو EMA200 تقريبياً bounceFromEmaFast = close > emaFast and low <= emaFast bounceFromEmaSlow = close > emaSlow and low <= emaSlow bounceLong = bounceFromEmaFast or bounceFromEmaSlow bounceFromEmaFastShort = close < emaFast and high >= emaFast bounceFromEmaSlowShort = close < emaSlow and high >= emaSlow bounceShort = bounceFromEmaFastShort or bounceFromEmaSlowShort // فلتر RSI rsiOk = rsiVal >= rsiMin and rsiVal <= rsiMax //========= شروط الدخول =========// // شراء longSignal = trendUp and bounceLong and rsiOk // بيع shortSignal = trendDown and bounceShort and rsiOk //========= حساب وقف الخسارة والأهداف =========// // نستخدم سعر إغلاق شمعة الإشارة كسعر دخول افتراضي entryPriceLong = close entryPriceShort = close // وقف الخسارة حسب EMA200 + البفر slLong = emaSlow * (1.0 - slBufferPerc / 100.0) slShort = emaSlow * (1.0 + slBufferPerc / 100.0) // المسافة بين الدخول ووقف الخسارة riskLong = math.max(entryPriceLong - slLong, syminfo.mintick) riskShort = math.max(slShort - entryPriceShort, syminfo.mintick) // هدف الربح حسب R:R tpLong = entryPriceLong + rrRatio * riskLong tpShort = entryPriceShort - rrRatio * riskShort //========= الرسم على الشارت =========// // رسم المتوسطات plot(emaFast, title="EMA 50", color=color.new(color.blue, 0), linewidth=2) plot(emaSlow, title="EMA 200", color=color.new(color.orange, 0), linewidth=2) // تلوين الخلفية حسب الاتجاه bgcolor(trendUp ? color.new(color.green, 92) : trendDown ? color.new(color.red, 92) : na) // إشارة شراء plotshape( longSignal, title = "إشارة شراء", style = shape.triangleup, location = location.belowbar, size = size.large, color = color.new(color.green, 0), text = "BUY") // إشارة بيع plotshape( shortSignal, title = "إشارة بيع", style = shape.triangledown, location = location.abovebar, size = size.large, color = color.new(color.red, 0), text = "SELL") // رسم SL و TP عند ظهور الإشارة slPlotLong = longSignal ? slLong : na tpPlotLong = longSignal ? tpLong : na slPlotShort = shortSignal ? slShort : na tpPlotShort = shortSignal ? tpShort : na plot(slPlotLong, title="وقف خسارة شراء", color=color.new(color.red, 0), style=plot.style_linebr) plot(tpPlotLong, title="هدف شراء", color=color.new(color.green, 0), style=plot.style_linebr) plot(slPlotShort, title="وقف خسارة بيع", color=color.new(color.red, 0), style=plot.style_linebr) plot(tpPlotShort, title="هدف بيع", color=color.new(color.green, 0), style=plot.style_linebr) //========= إعداد التنبيهات =========// alertcondition(longSignal, title="تنبيه إشارة شراء", message="إشارة شراء: ترند صاعد + ارتداد من EMA + RSI في المنطقة المسموحة.") alertcondition(shortSignal, title="تنبيه إشارة بيع", message="إشارة بيع: ترند هابط + ارتداد من EMA + RSI في المنطقة المسموحة.")
Индикатор Pine Script®
от lexur_m
MC² Pullback Screener v1.01//@version=5 indicator("MC² Pullback Screener v1.01", overlay=false) //---------------------------------------------------- // 🔹 PARAMETERS //---------------------------------------------------- lenTrend = input.int(20, "SMA Trend Length") relVolLookback = input.int(10, "Relative Volume Lookback") minRelVol = input.float(0.7, "Min Relative Volume on Pullback") maxSpikeVol = input.float(3.5, "Max Spike Vol (Reject News Bars)") pullbackBars = input.int(3, "Pullback Lookback Bars") //---------------------------------------------------- // 🔹 DATA //---------------------------------------------------- // Moving averages for trend direction sma20 = ta.sma(close, lenTrend) sma50 = ta.sma(close, 50) // Relative Volume volAvg = ta.sma(volume, relVolLookback) relVol = volume / volAvg // Trend condition uptrend = close > sma20 and sma20 > sma50 //---------------------------------------------------- // 🔹 BREAKOUT + PULLBACK LOGIC //---------------------------------------------------- // Recent breakout reference recentHigh = ta.highest(close, 10) isBreakout = close > recentHigh // Pullback logic nearSupport = close > recentHigh * 0.98 and close < recentHigh * 1.02 lowVolPullback = relVol < minRelVol // Reject single-bar news spike rejectSpike = relVol > maxSpikeVol //---------------------------------------------------- // 🔹 ENTRY SIGNAL //---------------------------------------------------- pullbackSignal = uptrend and lowVolPullback and nearSupport and not rejectSpike //---------------------------------------------------- // 🔹 SCREENER OUTPUT //---------------------------------------------------- // Pine Screener expects a plot output plot(pullbackSignal ? 1 : 0, title="MC² Pullback Signal", style=plot.style_columns, color=pullbackSignal ? color.green : color.black)
Индикатор Pine Script®
от mason_fibkins
🐋 MACRO POSITION TRADER - Quarterly Alignment 💎Disclaimer: This tool is an alignment filter and educational resource, not financial advice. Backtest and use proper risk management. Past performance does not guarantee future returns. so the idea behind this one came from an experience i had when i first started learning how to trade. dont laugh at me but i was the guy to buy into those stupid AI get rich quick schemes or the first person to buy the "golden indicator" just to find out that it was a scam. Its also to help traders place trades they can hold for months with high confidence and not have to sit in front of charts all day, and to also scale up quickly with small accounts confidently. and basically what it does is gives an alert once the 3 mo the 6 mo and the 12 mo tfs all align with eachother and gives the option to toggle on or off the 1 mo tf as well for extra confidence. Enter on the 5M–15M after a sweep + CHOCH in the direction of the aligned 1M–12M bias. that simple just continue to keep watching key levels mabey take profit 1-2 weeks and jump back in scaling up if desired..easy way to combine any small account size. Perfect balance of: low risk high R:R optimal precision minimal chop best sweep/CHOCH clarity hope you guys enjoy this one.
Индикатор Pine Script®
от wateriskey6689
Bitcoin Multibook v1.0 [Apollo Algo]Bitcoin Multibook v1.0 by Apollo Algo is an advanced market depth and order flow visualization tool that brings professional-grade multi-exchange order book analysis to TradingView. Inspired by Bookmap's multibook functionality and built upon LucF's original single "Tape" indicator concept, this tool aggregates real-time trading data from multiple Bitcoin exchanges into a unified tape display. Credits & Attribution This indicator is an evolution of the original "Tape" indicator created by LucF (TradingView: @LucF). The multibook enhancement and Bitcoin-specific optimizations were developed by Apollo Algo to provide traders with institutional-grade market microstructure visibility across major Bitcoin trading venues. Purpose & Philosophy Bitcoin leads the entire cryptocurrency market. By monitoring order flow across the primary Bitcoin exchanges simultaneously, traders gain crucial insights into: Cross-exchange arbitrage opportunities Institutional order flow patterns Market maker positioning True market sentiment beyond single-exchange data Key Features 📊 Multi-Exchange Data Aggregation Real-time tape from 3 major exchanges: Binance (BTCUSDT) Coinbase (BTCUSD) Kraken (BTCUSD) Customizable source inputs for any trading pair Synchronized price and volume tracking Exchange name identification in tape display 📈 Advanced Tape Display Dynamic tape visualization with configurable line quantity (0-50 lines) Directional flow indicators (＋/－ symbols for price changes) Exchange identification for each trade Volume precision control (0-16 decimal places) Flexible positioning (9 screen positions available) Real-time only operation for accurate order flow 🎯 Volume Delta Analysis Real-time cumulative volume delta calculation Divergence detection (price vs. volume direction) Colored visual feedback for market sentiment Total session delta displayed in footer Cross-exchange delta aggregation 🚨 Smart Alert System Marker 1: Volume Delta Bumps (⬆⬇) Triggers on consecutive volume delta increases Identifies momentum acceleration points Filters out divergent movements Marker 2: Volume Delta Thresholds (⇑⇓) Fires when delta exceeds user-defined thresholds Catches significant order imbalances Excludes divergence conditions Marker 3: Large Volume Detection (⤊⤋) Highlights unusually large individual trades Spots potential institutional activity Direction-specific triggers Configure Data Sources Adjust exchange pairs if needed (e.g., for altcoin analysis) Leave blank to disable specific exchanges Use format: EXCHANGE:SYMBOL Customize Display Set tape line quantity based on screen size Position the table for optimal visibility Choose color scheme (text or background) Adjust text size for readability Configure Alerts Enable desired markers (1, 2, or 3) Set volume thresholds appropriate for your timeframe Choose direction (Longs, Shorts, or Both) Create TradingView alerts on marker signals Trading Applications Scalping (1-5 min) Monitor tape speed for momentum shifts Watch for cross-exchange divergences Track large volume clusters Use Marker 1 for quick momentum trades Day Trading (5-60 min) Identify accumulation/distribution phases Spot institutional positioning Confirm breakout validity with volume delta Use Marker 2 for significant imbalances Swing Trading (1H+) Analyze volume delta trends Detect smart money rotation Time entries with order flow confirmation Use Marker 3 for institutional footprints Advanced Techniques Cross-Exchange Arbitrage Detection When price disparities appear between exchanges: Immediate Opportunity: Price differences > 0.1% Bot Activity: Rapid convergence patterns Liquidity Vacuum: One exchange leading others Divergence Trading Strategies Volume delta diverging from price direction: Absorption: Strong hands entering (price down, delta up) Distribution: Smart money exiting (price up, delta down) Reversal Setup: Sustained divergence over multiple bars Institutional Footprint Recognition Large volume characteristics: Simultaneous Spikes: Same timestamp across exchanges TWAP Patterns: Consistent volume over time Iceberg Orders: Repeated same-size trades Pine Script v6 Enhancements Type Safety Improvements Strict boolean type handling Explicit type declarations Enhanced error checking Performance Optimizations Improved request.security() function Better memory management with arrays Optimized table rendering Modern Syntax Updates indicator() instead of study() Namespaced math functions (math.round()) Typed input functions (input.int(), input.float()) Performance Considerations System Requirements Real-time Data: Essential for tape operation Multiple Security Calls: May impact performance Array Operations: Memory intensive with high line counts Table Rendering: CPU usage increases with tape size Optimization Tips Reduce tape lines for better performance Increase volume filter to reduce noise Disable unused markers Use text-only coloring for faster rendering
Индикатор Pine Script®
от d3f4ult