TVI-3 Z-Score: MA + VWAP + BB Composite🔧 Overview:
It combines:
Z-score of price relative to the 200-period simple moving average (MA)
Z-score of price relative to the 200-period VWAP (volume-weighted average price)
Z-score of Bollinger Band width
The result is an average of these three Z-scores, plotted as a composite indicator for identifying overvalued and undervalued conditions.
รูปแบบชาร์ต
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")
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.
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.
💼 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")
SuperPerformance_V1.2📊 SUPER PERFORMANCE INDICATOR
A comprehensive performance analysis tool that compares your stock against selected indices and tracks sector performance across multiple timeframes.
🎯 MAIN FEATURES
✅ Stock Performance Table
• Compares stock vs index performance across 1D, 5D, 10D, 20D, 50D, 200D periods
• Shows ✓/✗ indicators for outperformance tracking
• Displays percentage gains/losses with color coding (green=positive, red=negative)
• Calculates conviction score based on outperformance across timeframes
• Provides performance difference between stock and index
✅ Sector Performance Table
• Ranks top 5 performing sectors across different timeframes
• Shows real-time sector performance with percentage changes
• Tracks 19 major Indian market sectors
• Customizable time periods (1D, 5D, 10D, 20D, 60D)
✅ Sector Display Box
• Shows current stock's sector classification
• Customizable positioning and styling
• Optional sector abbreviations
🔧 CUSTOMIZATION OPTIONS
📋 Display Settings
• Dark/Light mode toggle
• Show/hide individual tables
• Mini mode for compact view
• Index selection (default: NIFTYMIDSML400)
📊 Table Controls
• Enable/disable specific columns and rows
• Adjustable table size (tiny/small/normal/large)
• 9 positioning options for each table
• Color customization for backgrounds and text
🎨 Advanced Features
• Conviction scoring system (Perfect/Solid/Good/Ok/Weak/Poor)
• Real-time performance tracking
• Multi-timeframe analysis
• Sector rotation insights
📈 CONVICTION LEVELS
• Perfect: Outperforms in all periods
• Solid: Outperforms in 67%+ periods
• Good: Outperforms in 50%+ periods
• Ok: Outperforms in 33%+ periods
• Weak: Outperforms in some periods
• Poor: Underperforms in all periods
⚙️ HOW TO USE
1. Add indicator to your chart
2. Select comparison index in Display Settings
3. Customize visible columns/rows as needed
4. Position tables on screen
5. Analyze green ✓ (outperforming) vs red ✗ (underperforming)
6. Use conviction score for overall performance assessment
🎯 IDEAL FOR
• Relative strength analysis
• Sector rotation strategies
• Performance benchmarking
• Indian equity markets
Note: Designed specifically for NSE/Indian market analysis with pre-configured sector indices.
The Essa System V1.5The Essa System V1.5
Overview
The Essa System is a comprehensive trading strategy and backtesting tool designed for traders who use market structure and Fibonacci retracements. It automatically identifies significant trading ranges, calculates key retracement levels, and then backtests a complete trading strategy based on entries at these levels.
This is more than just an indicator; it's a full suite of analytical tools designed to help you develop, test, and analyze a complete trading plan directly on your chart.
How It Works
The system's logic is based on a classic price action concept:
Range Detection: First, it automatically identifies a significant trading range by finding the highest high and lowest low based on pivot points over a user-defined lookback period.
Fibonacci Analysis: Once the range direction (bullish or bearish) is established, the script calculates and displays key Fibonacci retracement levels (50%, 61.8%, 70.5%, and 78.6%).
Trade Execution: The system then looks for historical and live trading opportunities, entering a trade when the price pulls back to one of the enabled Fibonacci levels. All trades are managed with a predefined Stop Loss and Take Profit in pips.
Key Features
Automatic Range & Fibonacci Analysis: Automatically draws the primary trading range and key Fib levels, updating as market structure evolves.
Historical Backtesting: Plots all historical trade entries based on the strategy rules, allowing for a complete performance review over the chosen chart history.
Detailed Trade Visuals: Displays active trades on the chart with clear lines and boxes for entry, stop loss, and take profit zones.
Advanced Session Filtering: Allows you to isolate trades to specific market sessions (London, New York, Asia) with timezone support and daily trade limits.
Built-in Risk Management: A cornerstone of the system. It automatically calculates the required position size for each trade based on your specified Account Size, Risk Percentage, and Stop Loss.
Comprehensive Performance Tables: The script includes two powerful analytical tables:
Trade Helper Table: Shows the status of live or potential upcoming trades, including entry/SL/TP prices and the calculated position size.
History Table: Logs all recent trades and calculates key statistics like Profit Factor, Win Rate, and the overall PnL impact on your account balance.
Customizable Strategy: Fine-tune every aspect of the strategy with inputs for the lookback period, SL/TP in pips, which Fib levels are tradable, and a cooldown timer to prevent over-trading.
How to Use
Add the indicator to your chart.
Navigate to the settings and, under "Account Settings," configure your Account Size and Risk Per Trade (%). This is essential for the PnL and position sizing calculations to be meaningful.
Under "Session Filter Settings," adjust the sessions you wish to trade.
Analyze the historical trades and the performance tables to understand the strategy's behaviour on your chosen asset and timeframe.
Disclaimer: This is a tool for strategy analysis and backtesting. It is not financial advice. Past performance is not indicative of future results. Always use proper risk management.
Byquan ADX RSI EMA9 Cross AlertThis indicator is used when the ADX exceeds the 40 threshold to look for potential reversals, confirmed by the crossover between the RSI and the RSI-based moving average, as well as the EMA 9.
Byquan ADX‑RSI Cross AlertThis indicator is used when the ADX exceeds the 40 threshold to look for potential reversals, confirmed by the crossover between the RSI and the RSI-based moving average, as well as the EMA 9.
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")
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
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!")
DDOG Breakout Dashboard Proull-featured breakout dashboard that gives you visual clarity, trade confidence, and the tactical edge you love. Here’s the upgraded layout with:
🧩 Multi-pane visualizations
🔔 Global alert conditions for breakout moves
📉 Dynamic Open Interest (OI) overlays for futures tracking
🔁 Modular scripting to integrate with your existing RSI dashboards
MA5 — 四點高低 + H1/L1 水平線 + 突破/回買 + 月季線交叉//@version=5
indicator("MA5 — 四點高低 + H1/L1 水平線 + 突破/回買 + 月季線交叉", overlay=true)
// 1. 均線設定
ma5 = ta.sma(close, 5)
ma10 = ta.sma(close, 10)
ma20 = ta.sma(close, 20)
ma60 = ta.sma(close, 60) // ← 加上這一行
// 畫出均線
plot(ma5, title="MA5", color=color.red)
plot(ma10, title="MA10", color=color.orange)
plot(ma20, title="MA20", color=color.yellow)
plot(ma60, title="MA60", color=color.green)
// 2. 全域變數:方向、區段極值
var int direction = na
var float segHigh = na
var int segHighBar = na
var float segLow = na
var int segLowBar = na
// 3. 全域變數:儲存兩組高低
var float high1 = na
var int high1Bar = na
var float high2 = na
var int high2Bar = na
var float low1 = na
var int low1Bar = na
var float low2 = na
var int low2Bar = na
// 4. 全域變數:標籤與線段句柄
var label highLbl1 = na
var label highLbl2 = na
var label lowLbl1 = na
var label lowLbl2 = na
var line highLine = na
var line lowLine = na
var line h1Line = na
var line l1Line = na
// 5. 全域變數:回買訊號控制
var bool buyBackShown = false
// 6. 判斷當前段方向
currDir = close > ma5 ? 1 : close < ma5 ? -1 : direction
// 7. 首次初始化
if na(direction)
direction := currDir
segHigh := high
segHighBar := bar_index
segLow := low
segLowBar := bar_index
// 8. 同段內更新極值
if currDir == 1 and high > segHigh
segHigh := high
segHighBar := bar_index
if currDir == -1 and low < segLow
segLow := low
segLowBar := bar_index
// 9. 段落切換:推舊值→更新 H1/L1→刪舊標籤/線→畫新標籤/線→重置 seg*
if currDir != direction
high2 := high1
high2Bar := high1Bar
low2 := low1
low2Bar := low1Bar
if direction == 1
high1 := segHigh
high1Bar := segHighBar
else
low1 := segLow
low1Bar := segLowBar
buyBackShown := false
if not na(highLbl1)
label.delete(highLbl1)
if not na(highLbl2)
label.delete(highLbl2)
if not na(lowLbl1)
label.delete(lowLbl1)
if not na(lowLbl2)
label.delete(lowLbl2)
if not na(high2)
highLbl2 := label.new(high2Bar, high2, "H2", style=label.style_label_down, color=color.blue, textcolor=color.white)
if not na(high1)
highLbl1 := label.new(high1Bar, high1, "H1", style=label.style_label_down, color=color.blue, textcolor=color.white)
if not na(low2)
lowLbl2 := label.new(low2Bar, low2, "L2", style=label.style_label_up, color=color.purple, textcolor=color.white)
if not na(low1)
lowLbl1 := label.new(low1Bar, low1, "L1", style=label.style_label_up, color=color.purple, textcolor=color.white)
if not na(highLine)
line.delete(highLine)
if not na(high1) and not na(high2)
highLine := line.new(high2Bar, high2, high1Bar, high1, color=color.blue, width=2)
if not na(lowLine)
line.delete(lowLine)
if not na(low1) and not na(low2)
lowLine := line.new(low2Bar, low2, low1Bar, low1, color=color.purple, width=2)
if not na(h1Line)
line.delete(h1Line)
if not na(high1)
h1Line := line.new(high1Bar, high1, bar_index, high1, xloc=xloc.bar_index, extend=extend.right, color=color.green, style=line.style_dashed)
if not na(l1Line)
line.delete(l1Line)
if not na(low1)
l1Line := line.new(low1Bar, low1, bar_index, low1, xloc=xloc.bar_index, extend=extend.right, color=color.red, style=line.style_dashed)
segHigh := high
segHighBar := bar_index
segLow := low
segLowBar := bar_index
// 10. 更新方向
direction := currDir
// 11. 突破訊號:收盤首次突破 H1 且 ma5>ma10>ma20
buySignal = not na(high1) and ta.crossover(close, high1) and ma5 > ma10 and ma10 > ma20
if buySignal
label.new(bar_index, low, "突破", style=label.style_label_up, color=color.green, textcolor=color.white)
// 12. 回買訊號:L1 之後任一 K 棒,首次收盤突破 MA5,且高於 L1、漲幅>2%、ma5>ma10>ma20、且收盤>ma20
buyBackSignal = not na(low1) and bar_index > low1Bar and ta.crossover(close, ma5) and high > low1 and (close - open) / open > 0.02 and ma5 > ma10 and ma10 > ma20 and close > ma20 and not buyBackShown
if buyBackSignal
label.new(bar_index, low, "回買", style=label.style_label_up, color=color.green, textcolor=color.white)
buyBackShown := true
// 13. 月季線交叉且四線多頭排列時,在 K 棒正下方標示放大三角形
if ta.cross(ma20, ma60) and ma5 > ma10 and ma10 > ma20 and ma20 > ma60
label.new(bar_index, low, "▲", xloc=xloc.bar_index, yloc=yloc.belowbar, style=label.style_label_center, color=color.new(color.white, 100), textcolor=color.white, size=size.large)
MA5 — 四點高低 + H1/L1 水平線 + 突破/回買 + 月季線交叉//@version=5
indicator("MA5 — 四點高低 + H1/L1 水平線 + 突破/回買 + 月季線交叉", overlay=true)
// 1. 均線設定
ma5 = ta.sma(close, 5)
ma10 = ta.sma(close, 10)
ma20 = ta.sma(close, 20)
ma60 = ta.sma(close, 60)
plot(ma5, title="MA5", color=color.orange)
plot(ma10, title="MA10", color=color.blue)
plot(ma20, title="MA20", color=color.red)
plot(ma60, title="MA60", color=color.gray)
// 2. 全域變數:方向、區段極值
var int direction = na
var float segHigh = na
var int segHighBar = na
var float segLow = na
var int segLowBar = na
// 3. 全域變數:保存兩組高低
var float high1 = na
var int high1Bar = na
var float high2 = na
var int high2Bar = na
var float low1 = na
var int low1Bar = na
var float low2 = na
var int low2Bar = na
// 4. 全域變數:標籤與線段句柄
var label highLbl1 = na
var label highLbl2 = na
var label lowLbl1 = na
var label lowLbl2 = na
var line highLine = na
var line lowLine = na
var line h1Line = na
var line l1Line = na
// 5. 全域變數:回買訊號控制
var bool buyBackShown = false
// 6. 判斷當前段方向
currDir = close > ma5 ? 1 : close < ma5 ? -1 : direction
// 7. 首次初始化
if na(direction)
direction := currDir
segHigh := high
segHighBar := bar_index
segLow := low
segLowBar := bar_index
// 8. 同段內更新極值
if currDir == 1 and high > segHigh
segHigh := high
segHighBar := bar_index
if currDir == -1 and low < segLow
segLow := low
segLowBar := bar_index
// 9. 段落切換:推舊值→存 H1/L1→刪舊標籤/線→畫新標籤/線→重置 seg*
if currDir != direction
// 推舊值
high2 := high1
high2Bar := high1Bar
low2 := low1
low2Bar := low1Bar
// 存 H1 或 L1,並重置回買旗標(遇到低段)
if direction == 1
high1 := segHigh
high1Bar := segHighBar
else
low1 := segLow
low1Bar := segLowBar
buyBackShown := false
// 刪除舊標籤
if not na(highLbl1)
label.delete(highLbl1)
if not na(highLbl2)
label.delete(highLbl2)
if not na(lowLbl1)
label.delete(lowLbl1)
if not na(lowLbl2)
label.delete(lowLbl2)
// 畫 H2/H1 標籤
if not na(high2)
highLbl2 := label.new(high2Bar, high2, "H2", style=label.style_label_down, color=color.blue, textcolor=color.white)
if not na(high1)
highLbl1 := label.new(high1Bar, high1, "H1", style=label.style_label_down, color=color.blue, textcolor=color.white)
// 畫 L2/L1 標籤
if not na(low2)
lowLbl2 := label.new(low2Bar, low2, "L2", style=label.style_label_up, color=color.purple, textcolor=color.white)
if not na(low1)
lowLbl1 := label.new(low1Bar, low1, "L1", style=label.style_label_up, color=color.purple, textcolor=color.white)
// 刪舊並畫高低連線
if not na(highLine)
line.delete(highLine)
if not na(high1) and not na(high2)
highLine := line.new(high2Bar, high2, high1Bar, high1, color=color.blue, width=2)
if not na(lowLine)
line.delete(lowLine)
if not na(low1) and not na(low2)
lowLine := line.new(low2Bar, low2, low1Bar, low1, color=color.purple, width=2)
// 刪舊並畫 H1 水平線
if not na(h1Line)
line.delete(h1Line)
if not na(high1)
h1Line := line.new(high1Bar, high1, bar_index, high1, xloc=xloc.bar_index, extend=extend.right, color=color.green, style=line.style_dashed)
// 刪舊並畫 L1 水平線
if not na(l1Line)
line.delete(l1Line)
if not na(low1)
l1Line := line.new(low1Bar, low1, bar_index, low1, xloc=xloc.bar_index, extend=extend.right, color=color.red, style=line.style_dashed)
// 重置 seg*
segHigh := high
segHighBar := bar_index
segLow := low
segLowBar := bar_index
// 10. 更新方向
direction := currDir
// 11. 突破訊號:首次收盤突破 H1 且 ma5>ma10>ma20
buySignal = not na(high1) and ta.crossover(close, high1) and ma5 > ma10 and ma10 > ma20
if buySignal
label.new(bar_index, low, "突破", style=label.style_label_up, color=color.green, textcolor=color.white)
// 12. 回買訊號:L1 之後任一棒,首次收盤突破 MA5,且高於 L1、漲幅>2%、ma5>ma10>ma20、且收盤>ma20
buyBackSignal = not na(low1) and bar_index > low1Bar and ta.crossover(close, ma5) and high > low1 and (close - open) / open > 0.02 and ma5 > ma10 and ma10 > ma20 and close > ma20 and not buyBackShown
if buyBackSignal
label.new(bar_index, low, "回買", style=label.style_label_up, color=color.blue, textcolor=color.white)
buyBackShown := true
// 13. 月季線交叉且四線多頭排列時,在 K 棒正下方標示放大三角形
if ta.cross(ma20, ma60) and ma5 > ma10 and ma10 > ma20 and ma20 > ma60
label.new(bar_index, low, "▲", xloc=xloc.bar_index, yloc=yloc.belowbar, style=label.style_label_center, color=color.new(color.white,100), textcolor=color.white, size=size.large)
Post-Market Session AnalyzerThis script visually analyzes U.S. post-market trading hours (4:00 PM to 8:00 PM EST) by:
a) Highlighting post-market session background
b) Coloring candles based on price direction
c) Marking the final post-market candle with a trend label
Great for:
1) Traders who monitor after-hours price movement
2) Spotting late-day reversals or sentiment shifts
3) Understanding extended trading activity
Wave 2 Flat Detection - B Breaks A High, C Breaks A Low//@version=5
indicator("Wave 2 Flat Detection - B Breaks A High, C Breaks A Low", overlay=true)
// === Parameters ===
wave1_len = 10 // length of wave 1
a_len = 5 // candles to look for Wave A
b_len = 3 // candles to look for Wave B
c_len = 3 // candles to look for Wave C
// === Detect Wave 1 (upward impulse) ===
wave1_start = low
wave1_end = high
wave1_valid = wave1_end > wave1_start * 1.05 // 5% move up
// === Wave A ===
a_start = high // assumed wave 1 top
a_end = low // correction low (Wave A end)
wave_a_valid = a_end < a_start
// === Wave B ===
b_high = high
wave_b_valid = b_high > a_start // B breaks above A's high
// === Wave C ===
c_low = low
wave_c_break = c_low < a_end // C breaks below A's low
// === Final Condition ===
flat_pattern_confirmed = wave1_valid and wave_a_valid and wave_b_valid and wave_c_break
// === Plot + Alert ===
plotshape(flat_pattern_confirmed, title="Flat Wave 2 Detected", location=location.belowbar, color=color.red, style=shape.labelup, text="C↓")
alertcondition(flat_pattern_confirmed, title="Wave C Breaks Below A", message="Wave C broke below Wave A low — Flat correction confirmed, watch for Wave 3")
[TH] กลยุทธ์ SMC หลายกรอบเวลา (V5.2 - M15 Lead)English Explanation
This Pine Script code implements a multi-timeframe trading strategy based on Smart Money Concepts (SMC). It's designed to identify high-probability trading setups by aligning signals across three different timeframes.
The core logic is as follows:
High Timeframe (HTF) - M15: Determines the overall market direction or bias.
Medium Timeframe (MTF) - M5: Identifies potential Points of Interest (POI), such as Order Blocks or Fair Value Gaps, in alignment with the M15 bias.
Low Timeframe (LTF) - Current Chart: Looks for a specific entry trigger within the M5 POI to execute the trade.
Detailed Breakdown
## Part 1: Inputs & Settings
This section allows you to customize the indicator's parameters:
General Settings:
i_pivotLookback: Sets the lookback period for identifying pivot highs and lows on the LTF, which is crucial for finding the Change of Character (CHoCH).
M15 Bias Settings:
i_m15EmaFast / i_m15EmaSlow: These two EMA (Exponential Moving Average) values on the 15-minute chart determine the main trend. A bullish trend is confirmed when the fast EMA is above the slow EMA, and vice-versa for a bearish trend.
M5 Point of Interest (POI) Settings:
i_showM5Fvg / i_showM5Ob: Toggles the visibility of Fair Value Gaps (FVG) and Order Blocks (OB) on the 5-minute chart. These are the zones where the script will look for trading opportunities.
i_maxPois: Limits the number of POI zones drawn on the chart to keep it clean.
LTF Entry Settings:
i_entryMode:
Confirmation: The script waits for a Change of Character (CHoCH) on the LTF (your current chart) after the price enters an M5 POI. A CHoCH is a break of a recent pivot high (for buys) or pivot low (for sells), suggesting a potential reversal. This is the safer entry method.
Aggressive: The script triggers an entry as soon as the price touches the 50% level of the M5 POI, without waiting for a CHoCH. This is higher risk but can provide a better entry price.
i_showChoch: Toggles the visibility of the CHoCH confirmation lines.
Trade Management Settings:
i_tpRatio: Sets the Risk-to-Reward Ratio (RRR) for the Take Profit target. For example, a value of 2.0 means the Take Profit distance will be twice the Stop Loss distance.
i_slMode: (New in V5.2) Provides four different methods to calculate the Stop Loss:
POI Zone (Default): Places the SL at the outer edge of the M5 POI zone.
Last Swing: Places the SL at the most recent LTF swing high/low before the entry.
ATR: Uses the Average True Range (ATR) indicator to set a volatility-based SL.
Previous Candle: Places the SL at the high or low of the candle immediately preceding the entry. This is the tightest and riskiest option.
i_maxHistory: Sets the number of past trades to display on the chart.
## Part 2: Data Types & Variables
This section defines custom data structures (type) to organize information:
Poi: A structure to hold all information related to a single Point of Interest, including its price boundaries, direction (bullish/bearish), and whether it has been mitigated (touched by price).
Trade: A structure to store details for each trade, such as its entry price, SL, TP, result (Win/Loss/Active), and chart objects for drawing.
## Part 3: Core Logic & Calculations
This is the engine of the indicator:
Data Fetching: It uses request.security to pull EMA data from the M15 timeframe and candle data (high, low, open, close) from the M5 timeframe.
POI Identification: The script constantly scans the M5 data for FVG and OB patterns. When a valid pattern is found that aligns with the M15 bias (e.g., a bullish OB during an M15 uptrend), it's stored as a Poi and drawn on the chart.
Entry Trigger:
It checks if the price on the LTF enters a valid (unmitigated) POI zone.
Based on the selected i_entryMode, it either waits for a CHoCH or enters aggressively.
Once an entry condition is met, it calculates the SL based on the i_slMode, calculates the TP using the i_tpRatio, and creates a new Trade.
Trade Monitoring: For every active trade, the script checks on each new bar if the price has hit the SL or TP level. When it does, the trade's result is updated, and the visual boxes are finalized.
## Part 5: On-Screen Display
This part creates the Performance Dashboard table shown on the top-right of the chart. It provides a real-time summary of:
M15 Bias: Current market direction.
Total Trades: The total number of completed trades from the history.
Win Rate: The percentage of winning trades.
Total R-Multiple: The cumulative Risk-to-Reward multiple (sum of RRR from wins minus losses). A positive value indicates overall profitability.
🇹🇭 คำอธิบายและข้อแนะนำภาษาไทย
สคริปต์นี้เป็น Indicator สำหรับกลยุทธ์การเทรดแบบ Smart Money Concepts (SMC) ที่ใช้การวิเคราะห์จากหลายกรอบเวลา (Multi-Timeframe) เพื่อหาจุดเข้าเทรดที่มีความเป็นไปได้สูง
หลักการทำงานของ Indicator มีดังนี้:
Timeframe ใหญ่ (HTF) - M15: ใช้กำหนดทิศทางหลักของตลาด หรือ "Bias"
Timeframe กลาง (MTF) - M5: ใช้หาโซนสำคัญ หรือ "Point of Interest (POI)" เช่น Order Blocks หรือ Fair Value Gaps ที่สอดคล้องกับทิศทางจาก M15
Timeframe เล็ก (LTF) - กราฟปัจจุบัน: ใช้หาสัญญาณยืนยันเพื่อเข้าเทรดในโซน POI ที่กำหนดไว้
รายละเอียดของโค้ด
## ส่วนที่ 1: การตั้งค่า (Inputs & Settings)
ส่วนนี้ให้คุณปรับแต่งค่าต่างๆ ของ Indicator ได้:
การตั้งค่าทั่วไป:
i_pivotLookback: กำหนดระยะเวลาที่ใช้มองหาจุดกลับตัว (Pivot) ใน Timeframe เล็ก (LTF) เพื่อใช้ยืนยันสัญญาณ Change of Character (CHoCH)
การตั้งค่า M15 (ทิศทางหลัก):
i_m15EmaFast / i_m15EmaSlow: ใช้เส้น EMA 2 เส้นบน Timeframe 15 นาที เพื่อกำหนดเทรนด์หลัก หาก EMA เร็วอยู่เหนือ EMA ช้า จะเป็นเทรนด์ขาขึ้น และในทางกลับกัน
การตั้งค่า M5 (จุดสนใจ - POI):
i_showM5Fvg / i_showM5Ob: เปิด/ปิด การแสดงโซน Fair Value Gaps (FVG) และ Order Blocks (OB) บน Timeframe 5 นาที ซึ่งเป็นโซนที่สคริปต์จะใช้หาโอกาสเข้าเทรด
i_maxPois: จำกัดจำนวนโซน POI ที่จะแสดงผลบนหน้าจอ เพื่อไม่ให้กราฟดูรกเกินไป
การตั้งค่า LTF (การเข้าเทรด):
i_entryMode:
ยืนยัน (Confirmation): เป็นโหมดที่ปลอดภัยกว่า โดยสคริปต์จะรอให้เกิดสัญญาณ Change of Character (CHoCH) ใน Timeframe เล็กก่อน หลังจากที่ราคาเข้ามาในโซน POI แล้ว
เชิงรุก (Aggressive): เป็นโหมดที่เสี่ยงกว่า โดยสคริปต์จะเข้าเทรดทันทีที่ราคาแตะระดับ 50% ของโซน POI โดยไม่รอสัญญาณยืนยัน CHoCH
i_showChoch: เปิด/ปิด การแสดงเส้น CHoCH บนกราฟ
การตั้งค่าการจัดการเทรด:
i_tpRatio: กำหนด อัตราส่วนกำไรต่อความเสี่ยง (Risk-to-Reward Ratio) เพื่อตั้งเป้าหมายทำกำไร (Take Profit) เช่น 2.0 หมายถึงระยะทำกำไรจะเป็น 2 เท่าของระยะตัดขาดทุน
i_slMode: (ฟีเจอร์ใหม่ V5.2) มี 4 รูปแบบในการคำนวณ Stop Loss:
โซน POI (ค่าเริ่มต้น): วาง SL ไว้ที่ขอบนอกสุดของโซน POI
Swing ล่าสุด: วาง SL ไว้ที่จุด Swing High/Low ล่าสุดของ Timeframe เล็ก (LTF) ก่อนเข้าเทรด
ATR: ใช้ค่า ATR (Average True Range) เพื่อกำหนด SL ตามระดับความผันผวนของราคา
แท่งเทียนก่อนหน้า: วาง SL ไว้ที่ราคา High/Low ของแท่งเทียนก่อนหน้าที่จะเข้าเทรด เป็นวิธีที่ SL แคบและเสี่ยงที่สุด
i_maxHistory: กำหนดจำนวนประวัติการเทรดที่จะแสดงย้อนหลังบนกราฟ
## ส่วนที่ 2: ประเภทข้อมูลและตัวแปร
ส่วนนี้เป็นการสร้างโครงสร้างข้อมูล (type) เพื่อจัดเก็บข้อมูลให้เป็นระบบ:
Poi: เก็บข้อมูลของโซน POI แต่ละโซน เช่น กรอบราคาบน-ล่าง, ทิศทาง (ขึ้น/ลง) และสถานะว่าถูกใช้งานไปแล้วหรือยัง (Mitigated)
Trade: เก็บรายละเอียดของแต่ละการเทรด เช่น ราคาเข้า, SL, TP, ผลลัพธ์ (Win/Loss/Active) และอ็อบเจกต์สำหรับวาดกล่องบนกราฟ
## ส่วนที่ 3: ตรรกะหลักและการคำนวณ
เป็นหัวใจสำคัญของ Indicator:
ดึงข้อมูลข้าม Timeframe: ใช้ฟังก์ชัน request.security เพื่อดึงข้อมูล EMA จาก M15 และข้อมูลแท่งเทียนจาก M5 มาใช้งาน
ระบุ POI: สคริปต์จะค้นหา FVG และ OB บน M5 ตลอดเวลา หากเจ้ารูปแบบที่สอดคล้องกับทิศทางหลักจาก M15 (เช่น เจอ Bullish OB ในขณะที่ M15 เป็นขาขึ้น) ก็จะวาดโซนนั้นไว้บนกราฟ
เงื่อนไขการเข้าเทรด:
เมื่อราคาใน Timeframe เล็ก (LTF) วิ่งเข้ามาในโซน POI ที่ยังไม่เคยถูกใช้งาน
สคริปต์จะรอสัญญาณตาม i_entryMode ที่เลือกไว้ (รอ CHoCH หรือเข้าแบบ Aggressive)
เมื่อเงื่อนไขครบ จะคำนวณ SL และ TP จากนั้นจึงบันทึกการเทรดใหม่
ติดตามการเทรด: สำหรับเทรดที่ยัง "Active" อยู่ สคริปต์จะคอยตรวจสอบทุกแท่งเทียนว่าราคาไปถึง SL หรือ TP แล้วหรือยัง เมื่อถึงจุดใดจุดหนึ่ง จะบันทึกผลและสิ้นสุดการวาดกล่องบนกราฟ
## ส่วนที่ 5: การแสดงผลบนหน้าจอ
ส่วนนี้จะสร้างตาราง "Performance Dashboard" ที่มุมขวาบนของกราฟ เพื่อสรุปผลการทำงานแบบ Real-time:
M15 Bias: แสดงทิศทางของตลาดในปัจจุบัน
Total Trades: จำนวนเทรดทั้งหมดที่เกิดขึ้นในประวัติ
Win Rate: อัตราชนะ คิดเป็นเปอร์เซ็นต์
Total R-Multiple: ผลตอบแทนรวมจากความเสี่ยง (R) ทั้งหมด (ผลรวม RRR ของเทรดที่ชนะ ลบด้วยจำนวนเทรดที่แพ้) หากเป็นบวกแสดงว่ามีกำไรโดยรวม
📋 ข้อแนะนำในการใช้งาน
Timeframe ที่เหมาะสม: Indicator นี้ถูกออกแบบมาให้ใช้กับ Timeframe เล็ก (LTF) เช่น M1, M3 หรือ M5 เนื่องจากมันดึงข้อมูลจาก M15 และ M5 มาเป็นหลักการอยู่แล้ว
สไตล์การเทรด:
Confirmation: เหมาะสำหรับผู้ที่ต้องการความปลอดภัยสูง รอการยืนยันก่อนเข้าเทรด อาจจะตกรถบ้าง แต่ลดความเสี่ยงจากการเข้าเทรดเร็วเกินไป
Aggressive: เหมาะสำหรับผู้ที่ยอมรับความเสี่ยงได้สูงขึ้น เพื่อให้ได้ราคาเข้าที่ดีที่สุด
การเลือก Stop Loss:
"Swing ล่าสุด" และ "โซน POI" เป็นวิธีมาตรฐานตามหลัก SMC
"ATR" เหมาะกับตลาดที่มีความผันผวนสูง เพราะ SL จะปรับตามสภาพตลาด
"แท่งเทียนก่อนหน้า" เป็นวิธีที่เสี่ยงที่สุด เหมาะกับการเทรดเร็วและต้องการ RRR สูงๆ แต่ก็มีโอกาสโดน SL ง่ายขึ้น
การบริหารความเสี่ยง: Indicator นี้เป็นเพียง เครื่องมือช่วยวิเคราะห์ ไม่ใช่สัญญาณซื้อขายอัตโนมัติ 100% ผู้ใช้ควรมีความเข้าใจในหลักการของ SMC และทำการบริหารความเสี่ยง (Risk Management) อย่างเคร่งครัดเสมอ
การทดสอบย้อนหลัง (Backtesting): ควรทำการทดสอบ Indicator กับสินทรัพย์และตั้งค่าต่างๆ เพื่อให้เข้าใจลักษณะการทำงานและประสิทธิภาพของมันก่อนนำไปใช้เทรดจริง
NEXGEN ADXNEXGEN ADX
NEXGEN ADX – Advanced Trend Strength & Directional Indicator
Purpose:
The NEXGEN ADX is a powerful trend analysis tool developed by NexGen Trading Academy to help traders identify the strength and direction of market trends with precision. Based on the Average Directional Index (ADX) along with +DI (Positive Directional Indicator) and –DI (Negative Directional Indicator), this custom indicator provides a reliable foundation for both trend-following strategies and trend reversal setups.