Mulakan

Corak carta

FULLY FUNCTIONAL INDICATOR TESTER🎯 Purpose: A comprehensive strategy testing framework designed to evaluate custom indicators and trading signals with professional-grade risk management and signal detection capabilities. ✨ Key Features: Multiple Signal Detection Methods - Value changes, crossovers, threshold-based triggers Advanced Confluence Filtering - Multi-source confirmation system with lookback periods Professional Risk Management - Static TP/SL, break-even functionality, position sizing Custom Exit Signals - Independent exit logic for refined strategy testing Visual Feedback System - Clear signal plots and real-time status monitoring Flexible Input Sources - Connect any custom indicator or built-in study 🔧 How to Use: Connect your indicator outputs to the Entry/Exit source inputs Select appropriate signal detection method for your indicator type Configure risk parameters (TP/SL/Break-even) Enable confluence filters if needed for additional confirmation Backtest and analyze results with built-in performance metrics 📈 Signal Detection Options: Value Change: Detects when indicator values change Crossover Above/Below: Traditional crossover signals Threshold Triggers: Value-based entry/exit levels ⚙️ Technical Specifications: Compatible with Pine Script v6 Overlay strategy with position tracking Real-time performance monitoring table Configurable margin requirements Full backtesting compatibility ⚠️ Important Notes: This is a testing framework - not financial advice Always validate signals in demo environment first Past performance does not guarantee future results Use proper risk management in live trading 🔄 Updates: Enhanced signal detection algorithms Improved confluence logic Added break-even functionality Visual debugging tools Perfect for traders and developers looking to systematically tes
Strategi Pine Script®
oleh profitgang
My script//@version=5 indicator("MA + OI + Volume Breakout", overlay=true) // === MA Parameters === ma_type = input.string("EMA", title="MA Type", options= ) ma(src, len, type) => type == "SMA" ? ta.sma(src, len) : type == "EMA" ? ta.ema(src, len) : ta.wma(src, len) ma5 = ma(close, 5, ma_type) ma21 = ma(close, 21, ma_type) ma50 = ma(close, 50, ma_type) ma100 = ma(close, 100, ma_type) plot(ma5, "5-day MA", color=color.yellow, linewidth=2) plot(ma21, "21-day MA", color=color.orange, linewidth=2) plot(ma50, "50-day MA", color=color.fuchsia, linewidth=2) plot(ma100, "100-day MA", color=color.blue, linewidth=2) // === Trend Signal === bullish_trend = ma5 > ma21 and ma21 > ma50 and ma50 > ma100 bearish_trend = ma5 < ma21 and ma21 < ma50 and ma50 < ma100 bgcolor(bullish_trend ? color.new(color.green, 85) : bearish_trend ? color.new(color.red, 85) : na) // === Volume Breakout === vol_avg = ta.sma(volume, 20) vol_breakout = volume > 1.5 * vol_avg plotshape(vol_breakout, title="Volume Breakout", location=location.belowbar, style=shape.circle, color=color.aqua, size=size.tiny) // === Open Interest Overlay (assumes OI data via external input or future integration) === // Placeholder: simulate OI input (replace with `request.security(syminfo.tickerid, ..., ...)` if available) oi = input.float(na, title="Open Interest (external feed)") oi_avg = ta.sma(oi, 20) oi_breakout = oi > 1.2 * oi_avg plotshape(not na(oi) and oi_breakout, title="OI Spike", location=location.belowbar, style=shape.diamond, color=color.purple, size=size.tiny) plot(oi, title="Open Interest", color=color.gray, display=display.none) // Optional: hidden line for alerts // === Composite Signal === strong_long = bullish_trend and vol_breakout and oi_breakout plotshape(strong_long, title="Strong Long Signal", location=location.belowbar, style=shape.labelup, text="LONG", size=size.small, color=color.lime) // === Screener Logic === // Use `strong_long` as your filter condition in a screener or dashboard output
Penunjuk Pine Script®
oleh nikhilkapadia
Momentum SNR VIP [3 TP + Max 50 Pip SL]//@version=6 indicator("Momentum SNR VIP ", overlay=true) // === Settings === pip = input.float(0.0001, "Pip Size", step=0.0001) sl_pip = 50 * pip tp1_pip = 40 * pip tp2_pip = 70 * pip tp3_pip = 100 * pip lookback = input.int(20, "Lookback for S/R", minval=5) // === SNR === pivotHigh = ta.pivothigh(high, lookback, lookback) pivotLow = ta.pivotlow(low, lookback, lookback) supportZone = not na(pivotLow) resistanceZone = not na(pivotHigh) plotshape(supportZone, title="Support", location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.tiny) plotshape(resistanceZone, title="Resistance", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny) // === Price Action === bullishEngulfing = close < open and close > open and close > open and open <= close bearishEngulfing = close > open and close < open and close < open and open >= close bullishPinBar = close < open and (low - math.min(open, close)) > 1.5 * math.abs(close - open) bearishPinBar = close > open and (high - math.max(open, close)) > 1.5 * math.abs(close - open) buySignal = supportZone and (bullishEngulfing or bullishPinBar) sellSignal = resistanceZone and (bearishEngulfing or bearishPinBar) // === SL & TP === rawBuySL = low - 10 * pip buySL = math.max(close - sl_pip, rawBuySL) buyTP1 = close + tp1_pip buyTP2 = close + tp2_pip buyTP3 = close + tp3_pip rawSellSL = high + 10 * pip sellSL = math.min(close + sl_pip, rawSellSL) sellTP1 = close - tp1_pip sellTP2 = close - tp2_pip sellTP3 = close - tp3_pip // === Plot Lines === plot(buySignal ? buySL : na, title="Buy SL", color=color.red, style=plot.style_line, linewidth=1) plot(buySignal ? buyTP1 : na, title="Buy TP1", color=color.green, style=plot.style_line, linewidth=1) plot(buySignal ? buyTP2 : na, title="Buy TP2", color=color.green, style=plot.style_line, linewidth=1) plot(buySignal ? buyTP3 : na, title="Buy TP3", color=color.green, style=plot.style_line, linewidth=1) plot(sellSignal ? sellSL : na, title="Sell SL", color=color.red, style=plot.style_line, linewidth=1) plot(sellSignal ? sellTP1 : na, title="Sell TP1", color=color.green, style=plot.style_line, linewidth=1) plot(sellSignal ? sellTP2 : na, title="Sell TP2", color=color.green, style=plot.style_line, linewidth=1) plot(sellSignal ? sellTP3 : na, title="Sell TP3", color=color.green, style=plot.style_line, linewidth=1) // === Floating Labels on Right Side === if buySignal label.new(x=bar_index + 50, y=buySL, text="SL", style=label.style_label_right, color=color.red, textcolor=color.white) label.new(x=bar_index + 50, y=buyTP1, text="TP1", style=label.style_label_right, color=color.green, textcolor=color.white) label.new(x=bar_index + 50, y=buyTP2, text="TP2", style=label.style_label_right, color=color.green, textcolor=color.white) label.new(x=bar_index + 50, y=buyTP3, text="TP3", style=label.style_label_right, color=color.green, textcolor=color.white) if sellSignal label.new(x=bar_index + 50, y=sellSL, text="SL", style=label.style_label_right, color=color.red, textcolor=color.white) label.new(x=bar_index + 50, y=sellTP1, text="TP1", style=label.style_label_right, color=color.green, textcolor=color.white) label.new(x=bar_index + 50, y=sellTP2, text="TP2", style=label.style_label_right, color=color.green, textcolor=color.white) label.new(x=bar_index + 50, y=sellTP3, text="TP3", style=label.style_label_right, color=color.green, textcolor=color.white) // === Signal Markers === plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Alerts === alertcondition(buySignal, title="Buy Alert", message="🟢 BUY at Support Zone + Price Action") alertcondition(sellSignal, title="Sell Alert", message="🟡 SELL at Resistance Zone + Price Action")
Penunjuk Pine Script®
oleh shakalss7
Momentum SNR VIP [3 TP + Max 50 Pip SL]//@version=6 indicator("Momentum SNR VIP ", overlay=true) // === Settings === pip = input.float(0.0001, "Pip Size", step=0.0001) sl_pip = 50 * pip tp1_pip = 40 * pip tp2_pip = 70 * pip tp3_pip = 100 * pip lookback = input.int(20, "Lookback for S/R", minval=5) // === SNR === pivotHigh = ta.pivothigh(high, lookback, lookback) pivotLow = ta.pivotlow(low, lookback, lookback) supportZone = not na(pivotLow) resistanceZone = not na(pivotHigh) plotshape(supportZone, title="Support", location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.tiny) plotshape(resistanceZone, title="Resistance", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny) // === Price Action === bullishEngulfing = close < open and close > open and close > open and open <= close bearishEngulfing = close > open and close < open and close < open and open >= close bullishPinBar = close < open and (low - math.min(open, close)) > 1.5 * math.abs(close - open) bearishPinBar = close > open and (high - math.max(open, close)) > 1.5 * math.abs(close - open) buySignal = supportZone and (bullishEngulfing or bullishPinBar) sellSignal = resistanceZone and (bearishEngulfing or bearishPinBar) // === SL & TP === rawBuySL = low - 10 * pip buySL = math.max(close - sl_pip, rawBuySL) buyTP1 = close + tp1_pip buyTP2 = close + tp2_pip buyTP3 = close + tp3_pip rawSellSL = high + 10 * pip sellSL = math.min(close + sl_pip, rawSellSL) sellTP1 = close - tp1_pip sellTP2 = close - tp2_pip sellTP3 = close - tp3_pip // === Plot Buy/Sell Signal plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Plot SL & TP lines plot(buySignal ? buySL : na, title="Buy SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(buySignal ? buyTP1 : na, title="Buy TP1", color=color.green, style=plot.style_linebr, linewidth=1) plot(buySignal ? buyTP2 : na, title="Buy TP2", color=color.green, style=plot.style_linebr, linewidth=1) plot(buySignal ? buyTP3 : na, title="Buy TP3", color=color.green, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellSL : na, title="Sell SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellTP1 : na, title="Sell TP1", color=color.green, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellTP2 : na, title="Sell TP2", color=color.green, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellTP3 : na, title="Sell TP3", color=color.green, style=plot.style_linebr, linewidth=1) // === Labels if buySignal label.new(x=bar_index, y=buySL, text="SL : " + str.tostring(buySL, "#.0000"), style=label.style_label_down, color=color.red, textcolor=color.white) label.new(x=bar_index, y=buyTP1, text="TP1 : " + str.tostring(buyTP1, "#.0000"), style=label.style_label_up, color=color.green, textcolor=color.white) label.new(x=bar_index, y=buyTP2, text="TP2 : " + str.tostring(buyTP2, "#.0000"), style=label.style_label_up, color=color.green, textcolor=color.white) label.new(x=bar_index, y=buyTP3, text="TP3 : " + str.tostring(buyTP3, "#.0000"), style=label.style_label_up, color=color.green, textcolor=color.white) if sellSignal label.new(x=bar_index, y=sellSL, text="SL : " + str.tostring(sellSL, "#.0000"), style=label.style_label_up, color=color.red, textcolor=color.white) label.new(x=bar_index, y=sellTP1, text="TP1 : " + str.tostring(sellTP1, "#.0000"), style=label.style_label_down, color=color.green, textcolor=color.white) label.new(x=bar_index, y=sellTP2, text="TP2 : " + str.tostring(sellTP2, "#.0000"), style=label.style_label_down, color=color.green, textcolor=color.white) label.new(x=bar_index, y=sellTP3, text="TP3 : " + str.tostring(sellTP3, "#.0000"), style=label.style_label_down, color=color.green, textcolor=color.white) // === Alerts alertcondition(buySignal, title="Buy Alert", message="🟢 BUY at Support Zone + Price Action") alertcondition(sellSignal, title="Sell Alert", message="🟡 SELL at Resistance Zone + Price Action")
Penunjuk Pine Script®
oleh shakalss7
Momentum SNR VIP [INDICATOR ONLY]//@version=6 indicator("Momentum SNR VIP ", overlay=true) // === Inputs === lookback = input.int(20, "Lookback for S/R", minval=5) rr_ratio = input.float(2.0, "Risk-Reward Ratio", minval=0.5, step=0.1) // === SNR Detection === pivotHigh = ta.pivothigh(high, lookback, lookback) pivotLow = ta.pivotlow(low, lookback, lookback) supportZone = not na(pivotLow) resistanceZone = not na(pivotHigh) plotshape(supportZone, title="Support", location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.tiny) plotshape(resistanceZone, title="Resistance", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny) // === Price Action === bullishEngulfing = close < open and close > open and close > open and open <= close bearishEngulfing = close > open and close < open and close < open and open >= close bullishPinBar = close < open and (low - math.min(open, close)) > 1.5 * math.abs(close - open) bearishPinBar = close > open and (high - math.max(open, close)) > 1.5 * math.abs(close - open) buySignal = supportZone and (bullishEngulfing or bullishPinBar) sellSignal = resistanceZone and (bearishEngulfing or bearishPinBar) // === SL & TP === buySL = low - 10 buyTP = close + (close - buySL) * rr_ratio sellSL = high + 10 sellTP = close - (sellSL - close) * rr_ratio // === Plot Signals plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") plot(buySignal ? buySL : na, title="Buy SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(buySignal ? buyTP : na, title="Buy TP", color=color.green, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellSL : na, title="Sell SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellTP : na, title="Sell TP", color=color.green, style=plot.style_linebr, linewidth=1) // === Labels (Fixed) if buySignal label.new(x=bar_index, y=buySL, text="SL : " + str.tostring(buySL, "#.00"), style=label.style_label_down, color=color.red, textcolor=color.white) label.new(x=bar_index, y=buyTP, text="TP 1 : " + str.tostring(buyTP, "#.00"), style=label.style_label_up, color=color.green, textcolor=color.white) if sellSignal label.new(x=bar_index, y=sellSL, text="SL : " + str.tostring(sellSL, "#.00"), style=label.style_label_up, color=color.red, textcolor=color.white) label.new(x=bar_index, y=sellTP, text="TP 1 : " + str.tostring(sellTP, "#.00"), style=label.style_label_down, color=color.green, textcolor=color.white) // === Alerts alertcondition(buySignal, title="Buy Alert", message="🟢 BUY at Support Zone + Price Action") alertcondition(sellSignal, title="Sell Alert", message="🟡 SELL at Resistance Zone + Price Action")
Penunjuk Pine Script®
oleh shakalss7
Repeating Trend HighlighterThis custom indicator helps you see when the current price trend is similar to a past trend over the same number of candles. Think of it like checking whether the market is repeating itself. You choose three settings: • Lookback Period: This is how many candles you want to measure. For example, if you set it to 10, it looks at the price change over the last 10 bars. • Offset Bars Ago: This tells the indicator how far back in time to look for a similar move. If you set it to 50, it compares the current move to what happened 50 bars earlier. • Tolerance (%): This is how closely the moves must match to be considered similar. A smaller number means you only get a signal if the moves are almost the same, while a larger number allows more flexibility. When the current price move is close enough to the past move you picked, the background of your chart turns light green. This makes it easy to spot repeating trends without studying numbers manually. You’ll also see two lines under your chart if you enable them: a blue line showing the percentage change of the current move and an orange line showing the change in the past move. These help you compare visually. This tool is useful in several ways. You can use it to confirm your trading setups, for example if you suspect that a strong rally or pullback is happening again. You can also use it to filter trades by combining it with other indicators, so you only enter when trends repeat. Many traders use it as a learning tool, experimenting with different lookback periods and offsets to understand how often similar moves happen. If you are a scalper working on short timeframes, you can set the lookback to a small number like 3–5 bars. Swing traders who prefer daily or weekly charts might use longer lookbacks like 20–30 bars. Keep in mind that this indicator doesn’t guarantee price will move the same way again—it only shows similarity in how price changed over time. It works best when you use it together with other signals or market context. In short, it’s like having a simple spotlight that tells you: “This move looks a lot like what happened before.” You can then decide if you want to act on that information. If you’d like, I can help you tweak the settings or combine it with alerts so it notifies you when these patterns appear.
Penunjuk Pine Script®
oleh SupertradeOfficial
BTC 现货与期货溢价指数█ Overview / 核心理念 This indicator measures the price difference between the Spot and Futures markets to reveal the true driver of market momentum. 本指标通过衡量现货与期货市场的价格差异，旨在揭示市场动能的真实驱动力。 It helps you answer a key question: Is the current trend driven by solid institutional spot buying or by speculative sentiment in the futures market? 它帮助您回答一个关键问题：当前趋势是由坚实的机构现货买盘驱动，还是由期货市场的投机情绪主导？ █ Core Logic & Calculation / 核心计算逻辑 The core logic is simple yet powerful: Premium = Spot Price - Futures Price. 其核心逻辑简单而强大：溢价 = 现货价格 - 期货价格。 Positive Value (Green Bars): "Spot Premium" 正值 (绿色柱): “现货溢价” This means the spot price is higher than the futures price. It's a strong bullish signal, suggesting significant spot buying pressure, likely from institutions. 这意味着现货价格高于期货价格。这是一个强烈的看涨信号，通常意味着存在巨大的现货买盘压力，可能来自机构。 Negative Value (Red Bars): "Futures Premium" 负值 (红色柱): “期货溢价” This means the futures price is higher than the spot price. It indicates that bullish sentiment is more concentrated in the futures market, or that there is selling pressure in the spot market. 这意味着期货价格高于现货价格。这表明看涨情绪更多地集中在期货市场，或现货市场存在抛售压力。 █ How to Read the Chart / 如何解读图表 Premium Histogram / 溢价柱状图 The height of the bars represents the magnitude of the price difference. Taller bars indicate a greater divergence between the two markets and more extreme sentiment. 柱体的高度代表了价格差异的大小。柱体越高，意味着两个市场之间的分歧越大，情绪越极端。 Zero Line / 零轴 This is the watershed between spot-led and futures-led dominance. 这是现货主导与期货主导的分水岭。 Info Panel / 信息面板 A real-time display in the top-right corner shows the current Spot Price, Futures Price, and the precise Premium value. 位于右上角的信息面板，实时显示当前的现货价格、期货价格以及精确的溢价数值。 █ Trading Strategies & Advanced Interpretation / 交易策略与高级解读 The essence of this indicator lies in analyzing the synergy and divergence between price action and premium changes to identify the dominant market force. 本指标的精髓在于结合价格行为与溢价变化，判断出当前主导市场是现货还是期货，从而进行同步或背离分析。 █ Alert System / 警报系统 The indicator includes two built-in alerts based on Bollinger Bands to catch extreme sentiment. 本指标包含两个基于布林带的内置警报，用以捕捉极端情绪。 Spot Premium Too High (Cross Up): 现货溢价过高 (向上突破): Triggers when the green premium bar breaks above the upper Bollinger Band. It signals that spot buying has become excessively "euphoric" and may be due for a short-term cooldown. 当绿色溢价柱向上突破布林带上轨时触发。这标志着现货买盘已进入极度的“狂热”状态，短期内可能面临回调。 Futures Premium Too High / Spot Selling Pressure (Cross Down): 期货溢价过高 / 现货抛压 (向下突破): Triggers when the premium bar breaks below the lower Bollinger Band (deeply negative). It signals intense spot selling pressure or panic, confirming strong bearish sentiment. 当溢价柱向下突破布林带下轨（负值极大）时触发。这标志着强烈的现货抛压或市场恐慌，是看跌情绪强烈的确认信号。 █ Disclaimer / 免责声明 This tool is based on the theory that the spot market has a dominant influence on major trends. Its effectiveness depends on this condition holding true. 本工具的理论基础是“现货市场对主要趋势具有主导影响力”。其有效性取决于该条件的成立。 This indicator is for educational and research purposes only. It does not constitute financial advice. Please use it in conjunction with your own trading system and risk management. 本指标仅用于教育和研究目的，不构成任何财务建议。请结合您自己的交易系统和风险管理进行使用。 Author ID：We1h0.eth Author X：https://x.com/we1h0
Penunjuk Pine Script®
oleh erevus
💼 Momentum SNR VIP//@version=5 indicator("Momentum", overlay=true) // === SNR Detection === lookback = input.int(20, "Lookback for S/R", minval=5) pivotHigh = ta.pivothigh(high, lookback, lookback) pivotLow = ta.pivotlow(low, lookback, lookback) // Plot SNR Zones plotshape(pivotHigh, title="Resistance", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small) plotshape(pivotLow, title="Support", location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.small) // === Price Action Detection === // Bullish Engulfing bullishEngulfing = close < open and close > open and close > open and open <= close // Bearish Engulfing bearishEngulfing = close > open and close < open and close < open and open >= close // Pin Bar Bullish bullishPinBar = close > open and (low - math.min(open, close)) > 1.5 * (math.abs(close - open)) // Pin Bar Bearish bearishPinBar = close < open and (math.max(open, close) - high) > 1.5 * (math.abs(close - open)) // === Combined Signal at SNR === supportZone = not na(pivotLow) resistanceZone = not na(pivotHigh) buySignal = (bullishEngulfing or bullishPinBar) and supportZone sellSignal = (bearishEngulfing or bearishPinBar) and resistanceZone // Plot Buy/Sell Arrows plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === SL & TP Calculation === rr_ratio = input.float(2.0, "Risk Reward Ratio", minval=0.5, step=0.5) buySL = low buyTP = close + (close - low) * rr_ratio sellSL = high sellTP = close - (high - close) * rr_ratio plot(buySignal ? buySL : na, title="Buy SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(buySignal ? buyTP : na, title="Buy TP", color=color.green, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellSL : na, title="Sell SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellTP : na, title="Sell TP", color=color.green, style=plot.style_linebr, linewidth=1) // === Alerts === alertcondition(buySignal, title="Buy Alert", message="GOLD: Potential BUY @ SNR Zone + Price Action") alertcondition(sellSignal, title="Sell Alert", message="GOLD: Potential SELL @ SNR Zone + Price Action")
Penunjuk Pine Script®
oleh shakalss7
Range Bar Gaps DetectorRange Bar Gaps Detector Overview The Range Bar Gaps Detector identifies price gaps across multiple range bar sizes (12, 24, 60, and 120) on any trading instrument, helping traders spot potential support/resistance zones or breakout opportunities. Designed for Pine Script v6, this indicator detects gaps on range bars and exports data for use in companion scripts like Range Bar Gaps Overlap, making it ideal for multi-timeframe gap analysis. Key Features Multi-Range Gap Detection: Identifies gaps on 12, 24, 60, and 120-range bars, capturing both bullish (gap up) and bearish (gap down) price movements. Customizable Sensitivity: Includes a user-defined minimum deviation (default: 10% of 14-period SMA) for 12-range gaps to filter out noise. 7-Day Lookback: Automatically prunes gaps older than 7 days to focus on recent, relevant price levels. Data Export: Serializes up to 10 gaps per range (tops, bottoms, start bars, highest/lowest prices, and age) for seamless integration with overlap analysis scripts. Debugging Support: Plots gap counts and aggregation data in the Data Window for easy verification of detected gaps. How It Works The indicator aggregates price movements to simulate higher range bars (24, 60, 120) from a base range bar chart. It detects gaps when the price jumps significantly between bars, ensuring gaps meet the minimum deviation threshold for 12-range bars. Gaps are stored in arrays, serialized for external use, and pruned after 7 days to maintain efficiency. Usage Add to your range bar chart (e.g., 12-range) to detect gaps across multiple ranges. Use alongside the Range Bar Gaps Overlap indicator to visualize gaps and their overlaps as boxes on the chart. Check the Data Window to confirm gap counts and sizes for each range (12, 24, 60, 120). Adjust the "Minimal Deviation (%) for 12-Range" input to control gap detection sensitivity. Settings Minimal Deviation (%) for 12-Range: Set the minimum gap size for 12-range bars (default: 10% of 14-period SMA). Range Sizes: Fixed at 24, 60, and 120 for higher range bar aggregation. Notes Ensure the script is published under your TradingView username (e.g., GreenArrow2005) for use with companion scripts. Best used on range bar charts to maintain consistent gap detection. For advanced overlap analysis, pair with the Range Bar Gaps Overlap indicator to highlight zones where gaps from different ranges align. Ideal For Traders seeking to identify key price levels for support/resistance or breakout strategies. Multi-timeframe analysts combining gap data across various range bar sizes. Developers building custom indicators that leverage gap data for advanced charting.
Penunjuk Pine Script®
oleh GreenArrow2005
CME Crude Oil 15-Min Multi-Unified Entry Zones (Dot Signals)//@version=6 indicator("CME Crude Oil 15-Min Multi-Unified Entry Zones (Dot Signals)", overlay=true) // --- Input Parameters --- emaLength = input.int(11, title="EMA Length", minval=1) // Ichimoku Cloud Inputs (Adjusted for higher sensitivity) conversionLineLength = input.int(7, title="Ichimoku Conversion Line Length (Sensitive)", minval=1) baseLineLength = input.int(20, title="Ichimoku Base Line Length (Sensitive)", minval=1) laggingSpanLength = input.int(40, title="Ichimoku Lagging Span Length (Sensitive)", minval=1) displacement = input.int(26, title="Ichimoku Displacement", minval=1) // MACD Inputs (Adjusted for higher sensitivity) fastLength = input.int(9, title="MACD Fast Length (Sensitive)", minval=1) slowLength = input.int(21, title="MACD Slow Length (Sensitive)", minval=1) signalLength = input.int(6, title="MACD Signal Length (Sensitive)", minval=1) // RSI Inputs rsiLength = input.int(8, title="RSI Length", minval=1) rsiOverbought = input.int(70, title="RSI Overbought Level", minval=50, maxval=90) rsiOversold = input.int(30, title="RSI Oversold Level", minval=10, maxval=50) // ADX Inputs adxLength = input.int(14, title="ADX Length", minval=1) adxTrendStrengthThreshold = input.int(20, title="ADX Trend Strength Threshold", minval=10, maxval=50) // Weak Entry Threshold (50 ticks for Crude Oil, where 1 tick = $0.01) // 50 ticks = $0.50 weakEntryTickThreshold = input.float(0.50, title="Weak Entry Threshold (in $)", minval=0.01) // --- Indicator Calculations --- // 1. EMA 11 ema11 = ta.ema(close, emaLength) // 2. Ichimoku Cloud donchian(len) => math.avg(ta.lowest(len), ta.highest(len)) tenkanSen = donchian(conversionLineLength) kijunSen = donchian(baseLineLength) senkouSpanA = math.avg(tenkanSen, kijunSen) senkouSpanB = donchian(laggingSpanLength) // Shifted for plotting (future projection) senkouSpanA_plot = senkouSpanA senkouSpanB_plot = senkouSpanB // Chikou Span (lagging span, plotted 26 periods back) chikouSpan = close // 3. MACD = ta.macd(close, fastLength, slowLength, signalLength) // 4. RSI rsi = ta.rsi(close, rsiLength) // 5. ADX = ta.dmi(adxLength, adxLength) // --- Price Volume Pattern Logic --- // Simplified volume confirmation: isVolumeIncreasing = volume > volume isVolumeDecreasing = volume < volume isPriceUp = close > close isPriceDown = close < close bullishVolumeConfirmation = (isPriceUp and isVolumeIncreasing) or (isPriceDown and isVolumeDecreasing) bearishVolumeConfirmation = (isPriceDown and isVolumeIncreasing) or (isPriceUp and isVolumeDecreasing) // --- Daily Pivot Point Calculation (Critical Support/Resistance) --- // Request daily High, Low, Close for pivot calculation = request.security(syminfo.tickerid, "D", [high , low , close ]) // Classic Pivot Point Formula dailyPP = (dailyHigh + dailyLow + dailyClose) / 3 dailyR1 = (2 * dailyPP) - dailyLow dailyS1 = (2 * dailyPP) - dailyHigh dailyR2 = dailyPP + (dailyHigh - dailyLow) dailyS2 = dailyPP - (dailyHigh - dailyLow) // --- Crosses and States for Unified Entry 1 (EMA & MACD) --- // Moved ta.cross() calls outside of conditional blocks for consistent calculation. emaGoldenCrossCondition = ta.cross(close, ema11) emaDeathCrossCondition = ta.cross(ema11, close) macdGoldenCrossCondition = ta.cross(macdLine, signalLine) macdDeathCrossCondition = ta.cross(signalLine, macdLine) emaIsBullish = close > ema11 emaIsBearish = close < ema11 macdIsBullishStrong = macdLine > signalLine and macdLine > 0 macdIsBearishStrong = macdLine < signalLine and macdLine < 0 // --- Unified Entry 1 Logic (EMA & MACD) --- unifiedLongEntry1 = false unifiedShortEntry1 = false if (emaGoldenCrossCondition and macdIsBullishStrong ) unifiedLongEntry1 := true else if (macdGoldenCrossCondition and emaIsBullish ) unifiedLongEntry1 := true if (emaDeathCrossCondition and macdIsBearishStrong ) unifiedShortEntry1 := true else if (macdDeathCrossCondition and emaIsBearish ) unifiedShortEntry1 := true // --- Unified Entry 2 Logic (Ichimoku & EMA/Volume) --- unifiedLongEntry2 = false unifiedShortEntry2 = false ichimokuCloudBullish = close > senkouSpanA_plot and close > senkouSpanB_plot and senkouSpanA_plot > senkouSpanB_plot and tenkanSen > kijunSen and chikouSpan > close ichimokuCloudBearish = close < senkouSpanA_plot and close < senkouSpanB_plot and senkouSpanB_plot > senkouSpanA_plot and tenkanSen < kijunSen and chikouSpan < close // Moved ta.cross() calls outside of conditional blocks for consistent calculation. ichimokuBullishTriggerCondition = ta.cross(tenkanSen, kijunSen) ichimokuBearishTriggerCondition = ta.cross(kijunSen, tenkanSen) priceCrossAboveSenkouA = ta.cross(close, senkouSpanA_plot) priceCrossBelowSenkouA = ta.cross(senkouSpanA_plot, close) if (ichimokuBullishTriggerCondition or (priceCrossAboveSenkouA and close > senkouSpanB_plot)) and emaIsBullish and bullishVolumeConfirmation unifiedLongEntry2 := true if (ichimokuBearishTriggerCondition or (priceCrossBelowSenkouA and close < senkouSpanB_plot)) and emaIsBearish and bearishVolumeConfirmation unifiedShortEntry2 := true // --- Weak Entry Logic --- weakLongEntry = false weakShortEntry = false // Function to check for weak long entry // Checks if the distance to the nearest resistance (R1 or R2) is less than the threshold f_isWeakLongEntry(currentPrice) => bool isWeak = false // Check R1 if it's above current price and within threshold if dailyR1 > currentPrice and (dailyR1 - currentPrice < weakEntryTickThreshold) isWeak := true // Check R2 if it's above current price and within threshold (only if not already weak by R1) else if dailyR2 > currentPrice and (dailyR2 - currentPrice < weakEntryTickThreshold) isWeak := true isWeak // Function to check for weak short entry // Checks if the distance to the nearest support (S1 or S2) is less than the threshold f_isWeakShortEntry(currentPrice) => bool isWeak = false // Check S1 if it's below current price and within threshold if dailyS1 < currentPrice and (currentPrice - dailyS1 < weakEntryTickThreshold) isWeak := true // Check S2 if it's below current price and within threshold (only if not already weak by S1) else if dailyS2 < currentPrice and (currentPrice - dailyS2 < weakEntryTickThreshold) isWeak := true isWeak // Apply weak entry check to Unified Entry 1 if unifiedLongEntry1 and f_isWeakLongEntry(close) weakLongEntry := true if unifiedShortEntry1 and f_isWeakShortEntry(close) weakShortEntry := true // Apply weak entry check to Unified Entry 2 if unifiedLongEntry2 and f_isWeakLongEntry(close) weakLongEntry := true if unifiedShortEntry2 and f_isWeakShortEntry(close) weakShortEntry := true // --- Enhanced Entry Conditions with RSI and ADX --- // Removed candlestick pattern requirement. // Only consider an entry if RSI is not overbought/oversold AND ADX indicates trend strength. // Enhanced Long Entry Condition enhancedLongEntry = (unifiedLongEntry1 or unifiedLongEntry2) and (rsi < rsiOverbought) and // RSI not overbought (adx > adxTrendStrengthThreshold) // ADX shows trend strength // Enhanced Short Entry Condition enhancedShortEntry = (unifiedShortEntry1 or unifiedShortEntry2) and (rsi > rsiOversold) and // RSI not oversold (adx > adxTrendStrengthThreshold) // ADX shows trend strength // --- Define colors as variables for clarity and to potentially resolve parsing issues --- // Changed named color constants to hexadecimal values var color strongBuyDotColor = #FFD700 // Gold var color weakBuyDotColor = #008000 // Green var color strongSellDotColor = #FFFFFF // White var color weakSellDotColor = #FF0000 // Red // --- Plotting Entry Dots on Candlesticks --- // Define conditions for plotting only on the *first* occurrence of a signal isNewStrongBuy = enhancedLongEntry and not weakLongEntry and not (enhancedLongEntry and not weakLongEntry ) isNewWeakBuy = enhancedLongEntry and weakLongEntry and not (enhancedLongEntry and weakLongEntry ) isNewStrongSell = enhancedShortEntry and not weakShortEntry and not (enhancedShortEntry and not weakShortEntry ) isNewWeakSell = enhancedShortEntry and weakShortEntry and not (enhancedShortEntry and weakShortEntry ) // Helper functions to check candlestick type isCurrentCandleBullish = close > open isCurrentCandleBearish = close < open // Strong Buy: Gold dot (only on bullish candles) plotshape(isNewStrongBuy and isCurrentCandleBullish ? close : na, title="Strong B", location=location.absolute, color=strongBuyDotColor, style=shape.circle, size=size.tiny) // Weak Buy: Solid Green dot (no candlestick filter for weak buys) // Changed text to "" and style to shape.triangleup for symbol only plotshape(isNewWeakBuy ? close : na, title="Weak B", location=location.absolute, color=weakBuyDotColor, style=shape.triangleup, size=size.tiny) // Strong Sell: White dot (only on bearish candles) plotshape(isNewStrongSell and isCurrentCandleBearish ? close : na, title="Strong S", location=location.absolute, color=strongSellDotColor, style=shape.circle, size=size.tiny) // Weak Sell: Red dot (no candlestick filter for weak sells) // Changed text to "" and style to shape.triangledown for symbol only plotshape(isNewWeakSell ? close : na, title="Weak S", location=location.absolute, color=weakSellDotColor, style=shape.triangledown, size=size.tiny) // --- Plotting Indicators (Optional, for visual confirmation) --- // All indicator plots have been removed as requested. // plot(ema11, title="EMA 11", color=emaColor) // plot(tenkanSen, title="Tenkan-Sen", color=tenkanColor) // plot(kijunSen, title="Kijun-Sen", color=kijunColor) // plot(senkouSpanA_plot, title="Senkou Span A", color=senkouAColor, offset=displacement) // plot(senkouSpanB_plot, title="Senkou Span B", color=senkouBColor, offset=displacement) // fill(plot(senkouSpanA_plot, offset=displacement), plot(senkouSpanB_plot, offset=displacement), color=cloudFillBullishColor, title="Cloud Fill Bullish") // fill(plot(senkouSpanA_plot, offset=displacement), plot(senkouSpanB_plot, offset=displacement), color=cloudFillBearishColor, title="Cloud Fill Bearish") // plot(chikouSpan, title="Chikou Span", color=chikouColor, offset=-displacement) // plot(macdLine, title="MACD Line", color=macdLineColor, display=display.pane) // plot(signalLine, title="Signal Line", color=signalLineColor, display=display.pane) // plot(hist, title="Histogram", color=hist >= 0 ? histGreenColor : histRedColor, style=plot.style_columns, display=display.pane) // plot(rsi, title="RSI", color=rsiPlotColor, display=display.pane) // hline(rsiOverbought, "RSI Overbought", color=rsiHlineRedColor, linestyle=hline.style_dashed, display=display.all) // hline(rsiOversold, "RSI Oversold", color=rsiHlineGreenColor, linestyle=hline.style_dashed, display=display.all) // plot(adx, title="ADX", color=adxPlotColor, display=display.pane) // hline(adxTrendStrengthThreshold, "ADX Threshold", color=adxHlineColor, linestyle=hline.style_dashed, display=display.all) // plot(diPlus, title="+DI", color=diPlusColor, display=display.pane) // plot(diMinus, title="-DI", color=diMinusColor, display=display.pane) // plot(dailyPP, title="Daily PP", color=dailyPPColor, style=plot.style_line, linewidth=1) // plot(dailyR1, title="Daily R1", color=dailyRColor, style=plot.style_line, linewidth=1) // plot(dailyR2, title="Daily R2", color=dailyRColor, style=plot.style_line, linewidth=1) // plot(dailyS1, title="Daily S1", color=dailySColor, style=plot.style_line, linewidth=1) // plot(dailyS2, title="Daily S2", color=dailySColor, style=plot.style_line, linewidth=1) // --- Alerts (Optional) --- alertcondition(enhancedLongEntry and not weakLongEntry, title="Strong Buy Alert", message="CME Crude Oil: Strong Buy Entry!") alertcondition(enhancedLongEntry and weakLongEntry, title="Weak Buy Alert", message="CME Crude Oil: Weak Buy Entry Detected!") alertcondition(enhancedShortEntry and not weakShortEntry, title="Strong Sell Alert", message="CME Crude Oil: Strong Sell Entry!") alertcondition(enhancedShortEntry and weakShortEntry, title="Weak Sell Alert", message="CME Crude Oil: Weak Sell Entry Detected!")
Penunjuk Pine Script®
oleh kylow1987
Zonas de Soporte EURUSD Multi-Timeframe//@version=5 indicator("Zonas de Soporte EURUSD Multi-Timeframe", overlay=true) // Configuraciones lookback = input.int(200, "Velas a analizar", minval=50) tolerance = input.float(0.5, "Tolerancia %", minval=0.1) touchesMin = input.int(3, "Toques mínimos para validar soporte", minval=2) // Función para encontrar zonas de soporte f_findSupportZones(_low, _label) => var float zones = na var int found = 0 for i = 0 to lookback - 1 float base = _low int touches = 0 for j = i + 1 to lookback - 1 if math.abs(_low - base) <= base * (tolerance / 100) touches := touches + 1 if touches >= touchesMin label.new(bar_index , base, text="Zona " + _label + " " + str.tostring(base, format.mintick), style=label.style_label_up, color=color.green, textcolor=color.white, size=size.small) found := found + 1 found // Múltiples temporalidades low_h1 = request.security("EURUSD", "60", low) low_h4 = request.security("EURUSD", "240", low) low_d1 = request.security("EURUSD", "D", low) low_w1 = request.security("EURUSD", "W", low) low_mn1 = request.security("EURUSD", "M", low) // Llamadas a la función zonesH1 = f_findSupportZones(low_h1, "H1") zonesH4 = f_findSupportZones(low_h4, "H4") zonesD1 = f_findSupportZones(low_d1, "D1") zonesW1 = f_findSupportZones(low_w1, "W1") zonesMN1 = f_findSupportZones(low_mn1, "MN1") // Reporte if bar_index % 50 == 0 label.new(bar_index, high, text="Reporte Zonas Soporte H1: "+str.tostring(zonesH1)+" H4: "+str.tostring(zonesH4)+" D1: "+str.tostring(zonesD1)+" W1: "+str.tostring(zonesW1)+" MN1: "+str.tostring(zonesMN1), style=label.style_label_down, yloc=yloc.abovebar, size=size.normal, textcolor=color.black, color=color.new(color.white, 80))
Penunjuk Pine Script®
oleh Escalando
Heiken Ashi Candles - CustomizableHeiken Ashi Candles – Customizable Overlay This TradingView indicator displays accurate Heiken Ashi candles directly on your price chart, perfectly synced with TradingView’s built-in Heiken Ashi source. It’s ideal for traders who want to backtest or analyze Heiken Ashi structure without switching chart types. The indicator also includes full customization of candle body and wick colors for both bullish and bearish candles—perfect for tailoring your chart visuals to your preferences.
Penunjuk Pine Script®
oleh freeburn
Enhanced Ichimoku Cloud Strategy V1 [Quant Trading]Overview This strategy combines the powerful Ichimoku Kinko Hyo system with a 171-period Exponential Moving Average (EMA) filter to create a robust trend-following approach. The strategy is designed for traders seeking to capitalize on strong momentum moves while using the Ichimoku cloud structure to identify optimal entry and exit points. This is a patient, low-frequency trading system that prioritizes quality over quantity. In backtesting on Solana, the strategy achieved impressive results with approximately 3600% profit over just 29 trades, demonstrating its effectiveness at capturing major trend movements rather than attempting to profit from every market fluctuation. The extended parameters and strict entry criteria are specifically optimized for Solana's price action characteristics, making it well-suited for traders who prefer fewer, higher-conviction positions over high-frequency trading approaches. What Makes This Strategy Original This implementation enhances the traditional Ichimoku system by: Custom Ichimoku Parameters: Uses non-standard periods (Conversion: 7, Base: 211, Lagging Span 2: 120, Displacement: 41) optimized for different market conditions EMA Confirmation Filter: Incorporates a 171-period EMA as an additional trend confirmation layer State Memory System: Implements a sophisticated memory system to track buy/sell states and prevent false signals Dual Trade Modes: Offers both traditional Ichimoku signals ("Ichi") and cloud-based signals ("Cloud") Breakout Confirmation: Requires price to break above the 25-period high for long entries How It Works Core Components Ichimoku Elements: -Conversion Line (Tenkan-sen): 7-period Donchian midpoint -Base Line (Kijun-sen): 211-period Donchian midpoint -Span A (Senkou Span A): Average of Conversion and Base lines, plotted 41 periods ahead -Span B (Senkou Span B): 120-period Donchian midpoint, plotted 41 periods ahead -Lagging Span (Chikou Span): Current close plotted 41 periods back EMA Filter: 171-period EMA acts as a long-term trend filter Entry Logic (Ichi Mode - Default) A long position is triggered when ALL conditions are met: Cloud Bullish: Span A > Span B (41 periods ago) Breakout Confirmation: Current close > 25-period high Ichimoku Bullish: Conversion Line > Base Line Trend Alignment: Current close > 171-period EMA State Memory: No previous buy signal is still active Exit Logic Positions are closed when: Ichimoku Bearish: Conversion Line < Base Line Alternative Cloud Mode When "Cloud" mode is selected, the strategy uses: Entry: Span A crosses above Span B with additional cloud and EMA confirmations Exit: Span A crosses below Span B with cloud and EMA confirmations Default Settings Explained Strategy Properties Initial Capital: $1,000 (realistic for average traders) Position Size: 100% of equity (appropriate for backtesting single-asset strategies) Commission: 0.1% (realistic for most brokers) Slippage: 3 ticks (accounts for realistic execution costs) Date Range: January 1, 2018 to December 31, 2069 Key Parameters Conversion Periods: 7 (faster than traditional 9, more responsive to price changes) Base Periods: 211 (much longer than traditional 26, provides stronger trend confirmation) Lagging Span 2 Periods: 120 (custom period for stronger support/resistance levels) Displacement: 41 (projects cloud further into future than standard 26) EMA Period: 171 (long-term trend filter, approximately 8.5 months of daily data) How to Use This Strategy Best Market Conditions Trending Markets: Works best in clearly trending markets where the cloud provides strong directional bias Medium to Long-term Timeframes: Optimized for daily charts and higher timeframes Volatile Assets: The breakout confirmation helps filter out weak signals in choppy markets Risk Management The strategy uses 100% equity allocation, suitable for backtesting single strategies Consider reducing position size when implementing with real capital Monitor the 25-period high breakout requirement as it may delay entries in fast-moving markets Visual Elements Green/Red Cloud: Shows bullish/bearish cloud conditions Yellow Line: Conversion Line (Tenkan-sen) Blue Line: Base Line (Kijun-sen) Orange Line: 171-period EMA trend filter Gray Line: Lagging Span (Chikou Span) Important Considerations Limitations Lagging Nature: Like all Ichimoku strategies, signals may lag significant price moves Whipsaw Risk: Extended periods of consolidation may generate false signals Parameter Sensitivity: Custom parameters may not work equally well across all market conditions Backtesting Notes Results are based on historical data and past performance does not guarantee future results The strategy includes realistic slippage and commission costs Default settings are optimized for backtesting and may need adjustment for live trading Risk Disclaimer This strategy is for educational purposes only and should not be considered financial advice. Always conduct your own analysis and risk management before implementing any trading strategy. The unique parameter combinations used may not be suitable for all market conditions or trading styles. Customization Options Trade Mode: Switch between "Ichi" and "Cloud" signal generation Short Trading: Option to enable short positions (disabled by default) Date Range: Customize backtesting period All Ichimoku Parameters: Fully customizable for different market conditions This enhanced Ichimoku implementation provides a structured approach to trend following while maintaining the flexibility to adapt to different trading styles and market conditions.
Strategi Pine Script®
oleh Quant_Trading_Pro
Divergence Screener [Trendoscope®]🎲Overview The Divergence Screener is a powerful TradingView indicator designed to detect and visualize bullish and bearish divergences, including hidden divergences, between price action and a user-selected oscillator. Built with flexibility in mind, it allows traders to customize the oscillator type, trend detection method, and other parameters to suit various trading strategies. The indicator is non-overlay, displaying divergence signals directly on the oscillator plot, with visual cues such as lines and labels on the chart for easy identification. This indicator is ideal for traders seeking to identify potential reversal or continuation signals based on price-oscillator divergences. It supports multiple oscillators, trend detection methods, and alert configurations, making it versatile for different markets and timeframes. 🎲Features 🎯Customizable Oscillator Selection Built-in Oscillators : Choose from a variety of oscillators including RSI, CCI, CMO, COG, MFI, ROC, Stochastic, and WPR. External Oscillator Support : Users can input an external oscillator source, allowing integration with custom or third-party indicators. Configurable Length : Adjust the oscillator’s period (e.g., 14 for RSI) to fine-tune sensitivity. 🎯Divergence Detection The screener identifies four types of divergences: Bullish Divergence : Price forms a lower low, but the oscillator forms a higher low, signaling potential upward reversal. Bearish Divergence : Price forms a higher high, but the oscillator forms a lower high, indicating potential downward reversal. Bullish Hidden Divergence : Price forms a higher low, but the oscillator forms a lower low, suggesting trend continuation in an uptrend. Bearish Hidden Divergence : Price forms a lower high, but the oscillator forms a higher high, suggesting trend continuation in a downtrend. 🎯Flexible Trend Detection The indicator offers three methods to determine the trend context for divergence detection: Zigzag : Uses zigzag pivots to identify trends based on higher highs (HH), higher lows (HL), lower highs (LH), and lower lows (LL). MA Difference : Calculates the trend based on the difference in a moving average (e.g., SMA, EMA) between divergence pivots. External Trend Signal : Allows users to input an external trend signal (positive for uptrend, negative for downtrend) for custom trend analysis. 🎯Zigzag-Based Pivot Analysis Customizable Zigzag Length : Adjust the zigzag length (default: 13) to control the sensitivity of pivot detection. Repaint Option : Choose whether divergence lines repaint based on the latest data or wait for confirmed pivots, balancing responsiveness and reliability. 🎯Visual and Alert Features Divergence Visualization : Divergence lines are drawn between price pivots and oscillator pivots, color-coded for easy identification: Bullish Divergence : Green Bearish Divergence : Red Bullish Hidden Divergence : Lime Bearish Hidden Divergence : Orange Labels and Tooltips : Labels (e.g., “D” for divergence, “H” for hidden) appear on price and oscillator pivots, with tooltips providing detailed information such as price/oscillator values, ratios, and pivot directions. Alerts : Configurable alerts for each divergence type (bullish, bearish, bullish hidden, bearish hidden) trigger on bar close, ensuring timely notifications. 🎲 How It Works 🎯Oscillator Calculation The indicator calculates the selected oscillator (or uses an external source) and plots it on the chart. Oscillator values are stored in a map for reference during divergence calculations. 🎯Pivot Detection A zigzag algorithm identifies pivots in the oscillator data, with configurable length and repainting options. Price and oscillator pivots are compared to detect divergences based on their direction and ratio. 🎯Divergence Identification The indicator compares price and oscillator pivot directions (HH, HL, LH, LL) to identify divergences. Trend context is determined using the selected method (Zigzag, MA Difference, or External). Divergences are classified as bullish, bearish, bullish hidden, or bearish hidden based on price-oscillator relationships and trend direction. 🎯Visualization and Alerts Valid divergences are drawn as lines connecting price and oscillator pivots, with corresponding labels. Alerts are triggered for allowed divergence types, providing detailed information via tooltips. 🎯Validation Divergence lines are validated to ensure no intermediate bars violate the divergence condition, enhancing signal reliability. 🎲 Usage Instructions as Indicator 🎯Add to Chart: Add the “Divergence Screener ” to your TradingView chart. The indicator appears in a separate pane below the price chart, plotting the oscillator and divergence signals. 🎯Configure Settings: Adjust the oscillator type and length to match your trading style. Select a trend detection method and configure related parameters (e.g., MA type/length or external signal). Set the zigzag length and repainting preference. Enable/disable alerts for specific divergence types. I🎯nterpret Signals: Bullish Divergence (Green) : Look for potential buy opportunities in a downtrend. Bearish Divergence (Red) : Consider sell opportunities in an uptrend. Bullish Hidden Divergence (Lime) : Confirm continuation in an uptrend. Bearish Hidden Divergence (Orange): Confirm continuation in a downtrend. Use tooltips on labels to review detailed pivot and divergence information. 🎯Set Alerts: Create alerts for each divergence type to receive notifications via TradingView’s alert system. Alerts include detailed text with price, oscillator, and divergence information. 🎲 Example Scenarios as Indicator 🎯 With External Oscillator (Use MACD Histogram as Oscillator) In order to use MACD as an oscillator for divergence signal instead of the built in options, follow these steps. Load MACD Indicator from Indicator library From Indicator settings of Divergence Screener, set Use External Oscillator and select MACD Histograme from the dropdown You can now see that the oscillator pane shows the data of selected MACD histogram and divergence signals are generated based on the external MACD histogram data. 🎯 With External Trend Signal (Supertrend Ladder ATR) Now let's demonstrate how to use external direction signals using Supertrend Ladder ATR indicator. Please note that in order to use the indicator as trend source, the indicator should return positive integer for uptrend and negative integer for downtrend. Steps are as follows: Load the desired trend indicator. In this example, we are using Supertrend Ladder ATR From the settings of Divergence Screener, select "External" as Trend Detection Method Select the trend detection plot Direction from the dropdown. You can now see that the divergence signals will rely on the new trend settings rather than the built in options. 🎲 Using the Script with Pine Screener The primary purpose of the Divergence Screener is to enable traders to scan multiple instruments (e.g., stocks, ETFs, forex pairs) for divergence signals using TradingView’s Pine Screener, facilitating efficient comparison and identification of trading opportunities. To use the Divergence Screener as a screener, follow these steps: Add to Favorites : Add the Divergence Screener to your TradingView favorites to make it available in the Pine Screener. Create a Watchlist : Build a watchlist containing the instruments (e.g., stocks, ETFs, or forex pairs) you want to scan for divergences. Access Pine Screener : Navigate to the Pine Screener via TradingView’s main menu: Products -> Screeners -> Pine, or directly visit tradingview.com/pine-screener/. Select Watchlist : Choose the watchlist you created from the Watchlist dropdown in the Pine Screener interface. Choose Indicator : Select Divergence Screener from the Choose Indicator dropdown. Configure Settings : Set the desired timeframe (e.g., 1 hour, 1 day) and adjust indicator settings such as oscillator type, zigzag length, or trend detection method as needed. Select Filter Criteria : Select the condition on which the watchlist items needs to be filtered. Filtering can only be done on the plots defined in the script. Run Scan : Press the Scan button to display divergence signals across the selected instruments. The screener will show which instruments exhibit bullish, bearish, bullish hidden, or bearish hidden divergences based on the configured settings. 🎲 Limitations and Possible Future Enhancements Limitations are Custom input for oscillator and trend detection cannot be used in pine screener. Pine screener has max 500 bars available. Repaint option is by default enabled. When in repaint mode expect the early signal but the signals are prone to repaint. Possible future enhancements Add more built-in options for oscillators and trend detection methods so that dependency on external indicators is limited Multi level zigzag support
Penunjuk Pine Script®
oleh Trendoscope
1
RSI For LoopTitle: RSI For Loop SurgeQuant’s RSI with Threshold Colors and Bar Coloring indicator is a sophisticated tool designed to identify overbought and oversold conditions using a customizable Relative Strength Index (RSI). By averaging RSI over a user-defined lookback period, this indicator provides clear visual signals for bullish and bearish market conditions. The RSI line and price bars are dynamically colored to highlight momentum, making it easier for traders to spot potential trading opportunities. How It Works RSI Calculation: Computes RSI based on a user-selected price source (Close, High, Low, or Open) with a configurable length (default: 5). Optional moving average smoothing refines the RSI signal for smoother analysis. Lookback Averaging: Averages the RSI over a user-defined lookback period (default: 5) to generate a stable momentum indicator, reducing noise and enhancing signal reliability. Threshold-Based Signals: Long Signal: Triggered when the averaged RSI exceeds the upper threshold (default: 52), indicating overbought conditions. Short Signal: Triggered when the averaged RSI falls below the lower threshold (default: 48), indicating oversold conditions. Visual Representation The indicator provides a clear and customizable visual interface: Green RSI Line and Bars: Indicate overbought conditions when the averaged RSI surpasses the upper threshold, signaling potential long opportunities. Red RSI Line and Bars: Indicate oversold conditions when the averaged RSI drops below the lower threshold, signaling potential short opportunities. Neutral Gray RSI Line: Represents RSI values between thresholds for neutral market conditions. Threshold Lines: Dashed gray lines mark the upper and lower thresholds on the RSI panel for easy reference. Customization & Parameters The RSI with Threshold Colors and Bar Coloring indicator offers flexible parameters to suit various trading styles: Source: Select the input price (default: Close; options: Close, High, Low, Open). RSI Length: Adjust the RSI calculation period (default: 5). Smoothing: Enable/disable moving average smoothing (default: enabled) and set the smoothing length (default: 10). Moving Average Type: Choose from multiple types (SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HMA, LSMA, ALMA; default: ALMA). ALMA Sigma: Configure the ALMA smoothing parameter (default: 5). Lookback Period: Set the period for averaging RSI (default: 5). Thresholds: Customize the upper (default: 52) and lower (default: 48) thresholds for signal generation. Color Settings: Transparent green and red colors (70% transparency) for bullish and bearish signals, with gray for neutral states. Trading Applications This indicator is versatile and can be applied across various markets and strategies: Momentum Trading: Highlights strong overbought or oversold conditions for potential entry or exit points. Trend Confirmation: Use bar coloring to confirm RSI-based signals with price action on the main chart. Reversal Detection: Identify potential reversals when RSI crosses the customizable thresholds. Scalping and Swing Trading: Adjust parameters (e.g., RSI length, lookback) to suit short-term or longer-term strategies. Final Note SurgeQuant’s RSI with Threshold Colors and Bar Coloring indicator is a powerful tool for traders seeking to leverage RSI for momentum and reversal opportunities. Its combination of lookback-averaged RSI, dynamic threshold signals, and synchronized RSI and bar coloring offers a robust framework for informed trading decisions. As with all indicators, backtest thoroughly and integrate into a comprehensive trading strategy for optimal results.
Penunjuk Pine Script®
oleh SurgeQuant