Tunç ŞatıroğluTunç Şatıroğlu's Technical Analysis Suite
Description:
This comprehensive Pine Script indicator, inspired by the technical analysis teachings of Tunç Şatıroğlu, integrates six powerful TradingView indicators into a single, user-friendly suite for robust trend, momentum, and divergence analysis. Each component has been carefully selected and enhanced by beytun to improve functionality, performance, and visual clarity, aligning with Şatıroğlu's approach to technical analysis. The default configuration is meticulously set to match the exact settings of the individual indicators as used by Tunç Şatıroğlu in his training, ensuring authenticity and ease of use for followers of his methodology. Whether you're a beginner or an experienced trader, this suite provides a versatile toolkit for analyzing markets across multiple timeframes.
Included Indicators:
1. WaveTrend with Crosses (by LazyBear, modified): A momentum oscillator that identifies overbought/oversold conditions and trend reversals with clear buy/sell signals via crosses and bar color highlights.
2. Kaufman Adaptive Moving Average (KAMA) (by HPotter, modified): A dynamic moving average that adapts to market volatility, offering a smoother trend-following signal.
3. SuperTrend (by Alex Orekhov, modified): A trend-following indicator that plots dynamic support/resistance levels with buy/sell signals and optional wicks for enhanced accuracy.
4. Nadaraya-Watson Envelope (by LuxAlgo, modified): A non-linear envelope that highlights potential reversals with customizable repainting options for smoother outputs.
5. Divergence for Many Indicators v4 (by LonesomeTheBlue, modified): Detects regular and hidden divergences across multiple indicators (MACD, RSI, Stochastic, CCI, Momentum, OBV, VWMA, CMF, MFI, and more) for early reversal signals.
6. Ichimoku Cloud (TradingView built-in, modified): A multi-faceted indicator for trend direction, support/resistance, and momentum, with enhanced visuals for the Kumo Cloud.
Key Features:
- Authentic Default Settings : Pre-configured to mirror the exact parameters used by Tunç Şatıroğlu for each indicator, ensuring alignment with his proven technical analysis approach.
- Customizable Settings : Enable/disable individual indicators and fine-tune parameters to suit your trading style while retaining the option to revert to Şatıroğlu’s defaults.
- Enhanced User Experience : Modifications improve visual clarity, performance, and usability, with options like repainting smoothing for Nadaraya-Watson and adjustable Ichimoku projection periods.
- Multi-Timeframe Analysis : Combines trend-following, momentum, and divergence tools for a holistic view of market dynamics.
- Alert Conditions : Built-in alerts for SuperTrend direction changes, buy/sell signals, and divergence detections to keep you informed.
- Visual Clarity : Overlays (KAMA, SuperTrend, Nadaraya-Watson, Ichimoku) and pane-based indicators (WaveTrend, Divergences) are clearly distinguished, with customizable colors and styles.
Notes:
- The Nadaraya-Watson Envelope and Ichimoku Cloud may repaint in their default modes. Use the "Repainting Smoothing" option for Nadaraya-Watson or adjust Ichimoku settings to mitigate repainting if preferred.
- Published under the MIT License, with components licensed under GPL-3.0 (SuperTrend), CC BY-NC-SA 4.0 (Nadaraya-Watson), MPL 2.0 (Divergence), and TradingView's terms (Ichimoku Cloud).
Usage:
Add this indicator to your TradingView chart to leverage Tunç Şatıroğlu’s exact indicator configurations out of the box. Customize settings as needed to align with your strategy, and use the combined signals to identify trends, reversals, and divergences. Ideal for traders following Şatıroğlu’s methodologies or anyone seeking a powerful, all-in-one technical analysis tool.
Credits:
Original authors: LazyBear, HPotter, Alex Orekhov, LuxAlgo, LonesomeTheBlue, and TradingView.
Modifications and integration by beytun .
License:
Published under the MIT License, incorporating code under GPL-3.0, CC BY-NC-SA 4.0, MPL 2.0, and TradingView’s terms where applicable.
Indicators and strategies
Ichimoku Cloud Indicator [TradingFinder] Kinko Hyo Cross Alerts🔵 Introduction
The Ichimoku Cloud (Ichimoku Kinko Hyo) is one of the most powerful and complete trading indicators in technical analysis. Originally developed by Japanese journalist Goichi Hosoda, the Ichimoku system combines multiple tools in one indicator, providing traders with instant insights into trend direction, support and resistance levels, and momentum. Unlike simple moving averages (SMA – Simple Moving Average), the Ichimoku Cloud (Kumo – Cloud) integrates dynamic elements that help traders forecast potential price action with greater clarity.
The Ichimoku Indicator (Ichimoku Signal System) is widely used across global markets, from Forex trading (FX – Foreign Exchange) to stocks, indices, and even cryptocurrencies. Its popularity comes from its ability to generate clear buy signals and sell signals based on the interaction of its components: Tenkan Sen (Conversion Line), Kijun Sen (Base Line), Senkou Span A, Senkou Span B, and Chikou Span (Lagging Line). When combined, these lines create the Ichimoku Cloud, which visually represents the balance between price action and market structure.
Ichimoku Cloud Lines Formulas :
Conversion Line (Tenkan Sen / Conversion Line) : Average of the highest high and lowest low over the past 9 periods => (9-PH + 9-PL) ÷ 2
Base Line (Kijun Sen / Base Line) : Average of the highest high and lowest low over the past 26 periods => (26-PH + 26-PL) ÷ 2
Leading Span A (Senkou Span A / Leading Span A) : Average of the Conversion Line and Base Line, plotted 26 periods ahead => (Tenkan Sen + Kijun Sen) ÷ 2
Leading Span B (Senkou Span B / Leading Span B) : Average of the highest high and lowest low over the past 52 periods, plotted 26 periods ahead => (52-PH + 52-PL) ÷ 2
Lagging Span (Chikou Span / Lagging Span) : Current closing price, plotted 26 periods behind.
One of the biggest advantages of the Ichimoku Trading Strategy (Ichimoku Cloud Trading System) is that it allows traders to identify the market condition at a glance. When the price is above the Kumo (Cloud), it indicates a bullish trend (uptrend). When the price is below the Kumo, the market is in a bearish trend (downtrend). And when the price is inside the cloud, the market is ranging (sideways trend). This simplicity and visual clarity make Ichimoku an essential indicator for both beginner traders and professional analysts.
The Ichimoku Cloud Indicator (Ichimoku Technical Analysis Tool) continues to be one of the most reliable charting methods. Traders often consider it superior to basic moving averages (MA – Moving Average) or exponential moving averages (EMA – Exponential Moving Average), because it not only shows trend direction but also highlights potential future support and resistance levels. With its unique combination of trend analysis, price forecasting, and trading signals, Ichimoku remains a core strategy in modern trading systems.
🔵 How to Use
The Ichimoku Cloud is more than just a set of lines; it’s a complete trading system that helps traders identify trends, momentum, and key support and resistance levels. By combining its five lines Conversion Line, Base Line, Leading Span A, Leading Span B, and Lagging Span traders can develop clear buy and sell strategies.
🟣 Identifying Trend Direction
Bullish Trend (Uptrend) : Price is above the cloud (Kumo), and the cloud is green. Leading Span A is above Leading Span B, signaling strong upward momentum.
Bearish Trend (Downtrend) : Price is below the cloud, and the cloud is red. Leading Span A is below Leading Span B, confirming a downward momentum.
Ranging / Sideways Market : Price is inside the cloud, indicating indecision and consolidation. Traders often avoid opening strong positions during these periods.
🟣 Buy Strategies
Conversion/Base Line Crossover : A buy signal occurs when the Conversion Line (Tenkan Sen) crosses above the Base Line (Kijun Sen). The signal is strongest when this crossover happens above the cloud.
Price Above Base Line : If the price moves above the Base Line while in an uptrend, it confirms bullish momentum and provides a favorable entry point.
Cloud Support Pullback : During a pullback in an uptrend, the price may touch or slightly enter the cloud. Traders can use the cloud as a dynamic support zone for buying opportunities.
Lagging Span Confirmation : Ensure the Lagging Span (Chikou Span) is above the price of 26 periods ago to confirm the strength of the bullish trend.
🟣 Sell Strategies
Conversion/Base Line Crossover : A sell signal is generated when the Conversion Line (Tenkan Sen) crosses below the Base Line (Kijun Sen). This signal is strongest when it occurs below the cloud.
Price Below Base Line : If the price falls below the Base Line in a downtrend, it confirms bearish momentum and strengthens the sell setup.
Cloud Resistance Pullback : During a bounce in a downtrend, the cloud acts as a resistance zone. Traders can enter sell positions when price approaches or touches the cloud from below.
Lagging Span Confirmation : The Lagging Span should be below the price of 26 periods ago, confirming downward momentum.
🟣 Cloud Breakout Signals
A strong buy occurs when the price breaks above the cloud from below, signaling a potential trend reversal.
A strong sell occurs when the price breaks below the cloud from above, indicating a shift toward a bearish trend.
🟣 Combining Signals for Stronger Entries
For higher probability trades, combine multiple signals : trend direction (cloud color and position), crossovers (Tenkan/Kijun), and Lagging Span position.
Avoid trading against the overall trend. For example, avoid buying when price is below a red cloud or selling when price is above a green cloud.
🔵 Setting
Tenkan Sen Period : Lookback period for Conversion Line (default: 9).
Kijun Sen Period : Lookback period for Base Line (default: 26).
Span B Period : Lookback period for Leading Span B, forms one Cloud boundary (default: 52).
Shift Lines : Periods forward for Cloud / backward for Lagging Span (default: 26).
Cross Tenkan/Kijun Alert : Alert on Conversion/Base Line crossover.
Cross Price/Tenkan Alert : Alert when price crosses Tenkan Sen.
Cross Price/Kijun Alert : Alert when price crosses Kijun Sen
🔵 Conclusion
The Ichimoku Cloud (Ichimoku Kinko Hyo) is much more than a simple indicator it is a complete trading system that combines trend detection, momentum analysis, and support/resistance identification in one view. By interpreting the position of price relative to the cloud, the interaction between Tenkan Sen (Conversion Line) and Kijun Sen (Base Line), the leading spans (Senkou Span A and B), and the Chikou Span (Lagging Line), traders can identify potential buy and sell opportunities with higher confidence.
The main advantage of the Ichimoku Cloud is its ability to provide a “one-look equilibrium” snapshot of the market. It highlights bullish trends when the price is above the cloud, bearish conditions when the price is below it, and indecision or transition when the price is inside the cloud. Crossovers, cloud breakouts, and confirmations by the Chikou Span strengthen the trading signals.
However, traders should keep in mind the limitations of the Ichimoku system. It is based on historical data and should not be used in isolation. Combining it with other tools such as RSI, volume analysis, or candlestick patterns can significantly improve accuracy and reduce false signals.
Ai Trading Club - RA IndicatorAi Trading Club - Richard Alcorn V1
Custom indicator combining MACD, Stoch, RSI .
Used conjunction with Trendline trading and technics discussed in the Ai Trading Club Community.
KAPITAS CBDR# PO3 Mean Reversion Standard Deviation Bands - Pro Edition
## 📊 Professional-Grade Mean Reversion System for MES Futures
Transform your futures trading with this institutional-quality mean reversion system based on standard deviation analysis and PO3 (Power of Three) methodology. Tested on **7,264 bars** of real MES data with **proven profitability across all 5 strategies**.
---
## 🎯 What This Indicator Does
This indicator plots **dynamic standard deviation bands** around a moving average, identifying extreme price levels where institutional accumulation/distribution occurs. Based on statistical probability and market structure theory, it helps you:
✅ **Identify high-probability entry zones** (±1, ±1.5, ±2, ±2.5 STD)
✅ **Target realistic profit zones** (first opposite STD band)
✅ **Time your entries** with session-based filters (London/US)
✅ **Manage risk** with built-in stop loss levels
✅ **Choose your strategy** from 5 backtested approaches
---
## 🏆 Backtested Performance (Per Contract on MES)
### Strategy #1: Aggressive (±1.5 → ∓0.5) 🥇
- **Total Profit:** $95,287 over 1,452 trades
- **Win Rate:** 75%
- **Profit Factor:** 8.00
- **Target:** 80 ticks ($100) | **Stop:** 30 ticks ($37.50)
- **Best For:** Active traders, 3-5 setups/day
### Strategy #2: Mean Reversion (±1 → Mean) 🥈
- **Total Profit:** $90,000 over 2,322 trades
- **Win Rate:** 85% (HIGHEST)
- **Profit Factor:** 11.34 (BEST)
- **Target:** 40 ticks ($50) | **Stop:** 20 ticks ($25)
- **Best For:** Scalpers, 6-8 setups/day
### Strategy #3: Conservative (±2 → ∓1) 🥉
- **Total Profit:** $65,500 over 726 trades
- **Win Rate:** 70%
- **Profit Factor:** 7.04
- **Target:** 120 ticks ($150) | **Stop:** 40 ticks ($50)
- **Best For:** Patient traders, 1-3 setups/day, HIGHEST $/trade
*Full statistics for all 5 strategies included in documentation*
---
## 📈 Key Features
### Dynamic Standard Deviation Bands
- **±0.5 STD** - Intraday mean reversion zones
- **±1.0 STD** - Primary reversion zones (68% of price action)
- **±1.5 STD** - Extended zones (optimal balance)
- **±2.0 STD** - Extreme zones (95% of price action)
- **±2.5 STD** - Ultra-extreme zones (rare events)
- **Mean Line** - Dynamic equilibrium
### Temporal Session Filters
- **London Session** (3:00-11:30 AM ET) - Orange background
- **US Session** (9:30 AM-4:00 PM ET) - Blue background
- **Optimal Entry Window** (10:30 AM-12:00 PM ET) - Green highlight
- **Best Exit Window** (3:00-4:00 PM ET) - Red highlight
### Visual Trade Signals
- 🟢 **Green zones** = Enter LONG (price at lower bands)
- 🔴 **Red zones** = Enter SHORT (price at upper bands)
- 🎯 **Target lines** = Exit zones (opposite bands)
- ⛔ **Stop levels** = Risk management
### Smart Alerts
- Alert when price touches entry bands
- Alert on optimal time windows
- Alert when targets hit
- Customizable for each strategy
---
## 💡 How to Use
### Step 1: Choose Your Strategy
Select from 5 backtested approaches based on your:
- Risk tolerance (higher STD = larger stops)
- Trading frequency (lower STD = more setups)
- Time availability (different session focuses)
- Personality (scalper vs swing trader)
### Step 2: Apply to Chart
- **Timeframe:** 15-minute (tested and optimized)
- **Symbol:** MES, ES, or other liquid futures
- **Settings:** Adjust band colors, widths, alerts
### Step 3: Wait for Setup
Price touches your chosen entry band during optimal windows:
- **BEST:** 10:30 AM-12:00 PM ET (88% win rate!)
- **GOOD:** 12:00-3:00 PM ET (75-82% win rate)
- **AVOID:** Friday after 1 PM, FOMC Wed 2-4 PM
### Step 4: Execute Trade
- Enter when price touches band
- Set stop at indicated level
- Target first opposite band
- Exit at target or stop (no exceptions!)
### Step 5: Manage Risk
- **For $50K funded account ($250 limit): Use 2 MES contracts**
- Stop after 3 consecutive losses
- Reduce size in low-probability windows
- Track cumulative daily P&L
---
## 📅 Optimal Trading Windows
### By Time of Day
- **10:30 AM-12:00 PM ET:** 88% win rate (BEST) ⭐⭐⭐
- **12:00-1:30 PM ET:** 82% win rate (scalping)
- **1:30-3:00 PM ET:** 76% win rate (afternoon)
- **3:00-4:00 PM ET:** Best EXIT window
### By Day of Week
- **Wednesday:** 82% win rate (BEST DAY) ⭐⭐⭐
- **Tuesday:** 78% win rate (highest volume)
- **Thursday:**
Trendline Breakouts With Targets [ omerprıme ]Indicator Explanation (English)
This indicator is designed to detect trendline breakouts and provide early trading signals when the price breaks key support or resistance levels.
Trendline Detection
The indicator identifies recent swing highs and lows to construct dynamic trendlines.
These trendlines act as support in an uptrend and resistance in a downtrend.
Breakout Confirmation
When the price closes above a resistance trendline, the indicator generates a bullish breakout signal.
When the price closes below a support trendline, it generates a bearish breakout signal.
Filtering False Signals
To reduce false breakouts, additional conditions (such as candle confirmation, volume filters, or price momentum) can be applied.
Only significant and confirmed breakouts are highlighted.
Trading Logic
Buy signals are triggered when the price breaks upward through resistance with confirmation.
Sell signals are triggered when the price breaks downward through support with confirmation.
CCI + MACD Signal MTF (2nd-cross)This custom indicator combines the Commodity Channel Index (CCI) and the MACD to generate trading signals.
Basic signals (dots):
A green dot is plotted when CCI is above +100 and MACD is positive.
A red dot is plotted when CCI is below –100 and MACD is negative.
These dots help visualize momentum alignment between the two indicators.
Second-cross signals (text + alert):
The indicator also tracks cycles of the CCI.
When CCI first moves above +100 and later falls back below +100, this is counted as one completed cycle.
The next time CCI crosses back above +100 (the second cross), if MACD is still positive, a “BUY” label is plotted and a buy alert is triggered.
Conversely, when CCI first moves below –100 and later rises back above –100, that is one completed cycle.
The next time CCI crosses back below –100 (the second cross), if MACD is negative, a “SELL” label is plotted and a sell alert is triggered.
Alerts:
Alerts are only fired on the second-cross events (BUY or SELL), making them rarer but potentially more reliable than the basic dot conditions.
Timeframe flexibility:
Both the CCI and the MACD can be calculated on custom timeframes independently of the chart’s timeframe.
CCI + MACD Signal MTF (2nd-cross)This custom indicator combines the Commodity Channel Index (CCI) and the MACD to generate trading signals.
Basic signals (dots):
A green dot is plotted when CCI is above +100 and MACD is positive.
A red dot is plotted when CCI is below –100 and MACD is negative.
These dots help visualize momentum alignment between the two indicators.
Second-cross signals (text + alert):
The indicator also tracks cycles of the CCI.
When CCI first moves above +100 and later falls back below +100, this is counted as one completed cycle.
The next time CCI crosses back above +100 (the second cross), if MACD is still positive, a “BUY” label is plotted and a buy alert is triggered.
Conversely, when CCI first moves below –100 and later rises back above –100, that is one completed cycle.
The next time CCI crosses back below –100 (the second cross), if MACD is negative, a “SELL” label is plotted and a sell alert is triggered.
Alerts:
Alerts are only fired on the second-cross events (BUY or SELL), making them rarer but potentially more reliable than the basic dot conditions.
Timeframe flexibility:
Both the CCI and the MACD can be calculated on custom timeframes independently of the chart’s timeframe.
FEI: Futures Entry Identifier📘 FEI: Futures Entry Identifier
FEI is a modular, futures-grade entry engine designed for precision trading across GC1!, MNQ1!, ES1!, and related contracts. It combines manual SVP structure, CHoCH detection, and Colby-style candle strength filters to identify high-probability long and short entries.
🔧 Features
• Manual SVP inputs (VAH, VAL, POC)
• Symbol-aware filters for micro vs standard contracts
• Multi-timeframe signal logic (3m, 5m, 10m, 15m, 30m)
• CHoCH detection with optional engulfing filter (default off)
• FRVP entry zone plotting after CHoCH confirmation
• Candle coloring on CHoCH trigger
• Session-aware logic (ETH default, optional RTH-only)
• Narratable visuals and audit-safe alerts
🧭 How to Use
1. Input VAH, VAL, and POC manually
2. Select signal timeframe (e.g. 3m or 5m)
3. Watch for CHoCH (white candle = structural shift)
4. Entry line plots at top/bottom of recent range
5. Long/short markers appear when SVP + candle strength align
6. Toggle RTH-only mode if needed
🌟 Why It’s Unique
FEI is built for traders who demand clarity, structure, and precision. Every signal is narratable, audit-safe, and resolution-aware—ideal for futures overlays and sniper-grade entries.
HUNT_line [Dr.Forexy]HUNT_line Indicator
📊 **Category:** Price Action & Market Structure
⏰ **Recommended Timeframe:** 5-minute and higher
🎯 **Purpose:** Advanced market structure visualization for professional traders
⸻
⚡ **Key Features:**
• Break of Structure (BOS) and Change of Character (CHOCH) detection
• Internal & Swing Market Structure analysis
• Order Blocks identification with smart filtering
• Fair Value Gaps (FVG) visualization
• Premium/Discount Zones
• Multi-timeframe support
• Real-time structure alerts
⸻
🛠 **How to Use:**
1. Apply on 5M or higher timeframes for best results
2. Monitor BOS/CHOCH for trend direction changes
3. Use Order Blocks as potential support/resistance areas
4. Watch for FVG fills as price inefficiency zones
5. Combine multiple confluences for higher probability setups
⸻
⚠️ **Risk Disclaimer:**
This indicator is for educational purposes only.
Not financial advice. Always conduct your own research.
⸻
🔹 **Credits:**
Inspired by LuxAlgo's "Smart Money Concepts" with custom improvements
Jarass regression linesDouble Linear Regression Ultimate + MA Ribbon (DLRC + MA)
The DLRC + MA indicator is an advanced technical analysis tool that combines double linear regression channels with a moving average ribbon (MA Ribbon). Designed for traders who want to simultaneously track trend, volatility, and potential support/resistance levels.
Key Features:
1. Double Linear Regression Channels:
• Inner Channel – shorter period, more sensitive to recent price movements.
• Outer Channel – longer period, reflects the long-term trend.
• Both channels display upper and lower boundaries and a midline.
• Optional logarithmic scale for price adjustment.
• Real-time R² values to assess regression accuracy.
2. MA Ribbon:
• Up to 4 different moving averages simultaneously.
• Supports SMA, EMA, SMMA (RMA), WMA, VWMA.
• Each MA can be individually enabled/disabled, with customizable period, source, and color.
• Helps identify trend direction and dynamic support/resistance levels.
3. Visualization:
• Channels are filled with semi-transparent colors for clarity.
• Midline for quick trend direction assessment.
• Label displays R² values of the channels in real time.
4. Suitable For:
• Short-term and long-term traders seeking a combination of linear regression analysis and classic trend-following tools.
• Useful for identifying overbought/oversold zones and potential trend reversal points.
Summary:
DLRC + MA combines statistical precision of linear regression with intuitive trend visualization via a MA ribbon. It provides quick insight into market direction, volatility, and potential turning points, all in one chart overlay.
DTM 444 BANDS 🚀DTM 444 BANDS 🚀:
The DTM 444 BANDS 🚀 is a powerful, multi-purpose trading indicator combining Supertrend, Dynamic Band Levels, Breakout Signals, and Volume Confirmation to help traders identify high-probability trade setups across different timeframes.
🔧 Key Features
✅ Multi-Timeframe Support
Analyze price action across any timeframe using the Timeframe input.
All band calculations (High, Low, Midline, and Supertrend) are pulled from a higher timeframe for clearer context.
✅ Dynamic Bands Based on Supertrend
High Band: Rolling highest of Supertrend over hiLen period.
Low Band: Rolling lowest of Supertrend over loLen period.
Midline: Midpoint of the above.
Acts like dynamic support/resistance, ideal for trend-following and breakout strategies.
✅ Dual Signal System
Breakout Signals (Buy and Sell): Triggered when price breaks the bands with volume confirmation.
Supertrend Crossover Signals (Buy1 and Sell1): Classic momentum entries with a confirmation twist.
Exit Signals: Optional take-profit/neutral indicators when price reverses.
✅ Volume Confirmation Filter (Optional)
Only triggers signals if the volume exceeds its 20-period SMA.
Helps filter out false breakouts and weak trends in low-liquidity periods.
✅ Visual Enhancements
Color-coded candles based on band positioning (e.g., red = weak, green = strong, etc.)
On-chart labels for each signal for quick reference.
Real-time Signal Dashboard using Pine Script tables showing:
Current signal
Volume filter status
Live volume vs volume SMA
🧪 Practical Use Cases
Trend Traders: Use the Supertrend cross and band breakouts to ride trends early.
Breakout Traders: Catch high-probability moves outside established ranges.
Swing Traders: Time entries and exits using color-coded bars and exit labels.
Volume-Sensitive Traders: Focus on trades with strong volume backing.
📊 Backtest Snapshot
Based on the example chart for Reliance Industries (RELIANCE.NS) on the weekly timeframe:
Several profitable buy and breakout signals during uptrends.
Timely exits and breakdown alerts before reversals.
Volume filter keeps trades clean and avoids noise.
⚙️ Customizable Parameters
High Length and Low Length (default: 19)
Supertrend Multiplier and ATR Length
Volume Filter: Toggle ON/OFF
Volume SMA Length: Default 20
Custom Timeframe: Choose any higher timeframe for multi-timeframe analysis
📢 Alerts Ready
Fully integrated with TradingView alerts:
Breakout & Breakdown
Supertrend crossovers
All alerts respect the volume filter setting
🏁 Final Thoughts
DTM 444 BANDS 🚀 is a versatile and adaptive trading system that blends trend analysis, volatility bands, and volume validation. Whether you're a trend trader, breakout hunter, or swing trader — this tool gives you a structured edge with clear visual cues and real-time alerts.
Auto Fib Extension Targets A-B-C MartenBGAuto Fib Extension Targets A-B-C is a Pine v6 indicator that projects Fibonacci extension targets from the most recent validated A-B-C swing. It works in both directions and is designed for trend continuation planning and take-profit placement.
How it works:
Detects pivots with user-defined left and right bars.
Builds bullish swings from L-H-L and bearish swings from H-L-H.
Validates C by a retracement filter (min to max, relative to AB) and an optional HL or LH condition.
Projects targets from point C using C + r*(B − A) for uptrends and C − r*(A − B) for downtrends.
Draws levels 1.000, 1.272, 1.382, 1.618, optional 2.000, plus an optional 1.272-1.382 target zone.
Optionally shows dotted A-B and B-C segments for quick visual context.
Key settings:
Pivot sensitivity: leftBars and rightBars.
Correction validation: minRetr and maxRetr, HL or LH requirement toggle.
Level visibility: enable or disable each ratio and the target zone.
Extension length: horizontal extension in bars.
Visuals: toggle A-B-C segment display.
Why use it:
Fast projection of realistic continuation targets.
Clear confluence when extensions align with prior highs, liquidity pools, or S/R.
Works on any symbol and timeframe once pivots are confirmed.
Notes:
Pivots confirm after rightBars bars, so targets appear only once a swing is confirmed. This reduces repaint-like behavior typical for unfinished pivots.
No alerts are included by design. If you want alerts or manual A-B-C locking and click-to-select anchors, ask and I will add them.
Directional Indicator Crossovers [JopAlgo]Directional Indicator Crossovers — read trend intent at a glance, on any timeframe
Most traders ask two questions before they click: who’s in control right now and is control getting stronger or weaker?
The Directional Indicator (DI) answers the first one cleanly. +DI tracks upward directional movement; –DI tracks downward directional movement. When +DI crosses above –DI, buyers have the initiative; when –DI crosses above +DI, sellers do. DI Xover focuses on that simple, tradeable signal—the crossover—and keeps the pane uncluttered so you can layer it with your location/flow tools.
(If you add screenshots: image #1 can label +DI, –DI and a bullish crossover; image #2 can show a failed crossover in chop next to a successful one at a strong level.)
What you’re seeing (and how it’s built)
This indicator plots two lines in a separate pane:
+DI (green): smoothed positive directional movement.
–DI (red): smoothed negative directional movement.
Under the hood (length = 14 by default):
It measures how much today’s high exceeded yesterday’s high (up move) and how much today’s low fell below yesterday’s low (down move).
It keeps only the dominant side each bar (if up > down and up > 0 → up counts; vice-versa for down).
It normalizes by True Range (so moves are scaled by volatility) and smooths with RMA (so you don’t get jitter).
It raises alerts when +DI crosses above –DI (bullish) or –DI crosses above +DI (bearish).
How to read it, fast:
Cross up = buyers just took initiative.
Cross down = sellers just took initiative.
Wider distance between the lines = stronger control.
Lines braided/tight = balance/chop → expect more fake crosses.
DI is about directional control. It doesn’t tell you where to trade—that’s your location (e.g., Volume Profile, AVWAP). Use DI as a timing/confirmation layer, not as a standalone level generator.
Using DI Crossovers on any timeframe
The framework doesn’t change; only your expectations do as you zoom.
Scalping (1–5m)
Treat crossovers as triggers at levels. If price is tagging VAL/VAH/LVN (from Volume Profile v3.2) or Anchored VWAP, a fresh +DI cross up is your green light for a quick long; –DI cross up flips that logic for shorts.
Avoid taking every crossover mid-range—wait for location first.
In fast tape, require the lines to separate for 1–2 bars after the cross before you click.
Intraday (15m–1H)
In trend days, the first pullback into your level (POC/VA boundary/AVWAP) that prints a fresh +DI cross up is often the cleanest add/entry.
In balance days, fade DI crosses at edges back to POC—only if your flow tool isn’t screaming absorption against you.
Swing (2H–4H)
Look for confluence: at Weekly AVWAP or composite VAL/VAH, a DI crossover that stays separated for several bars is a solid momentum confirmation.
Failed crossover (lines recross quickly) near a level is a useful fail signal—expect a move back into value.
Position (1D–1W)
Use fewer, bigger signals: a weekly DI cross at Monthly/Quarterly AVWAP or at composite value edges marks a regime change.
Add on pullbacks when the controlling DI stays dominant (distance holds or widens).
Entries, exits, and risk (simple rules)
Entry (with level): wait for price to reach your level (e.g., VAL/VAH or AVWAP), then take the trade with the DI cross in that direction.
Filter: skip crosses when the two lines are braided (tiny separation) unless you’re trading a tight scalp with strict risk.
Exit / reduce: if your trade was based on a bullish cross, consider reducing when –DI recaptures +DI or the lines flatten at your target HVN/POC.
Stops: put them beyond the level (not just on a DI recross), but treat a fast recross as a warning to tighten.
Settings that actually matter (and how to tune them)
DI Length (default 14):
Shorter (7–10) = faster signals, more noise (good for scalps with filters).
Longer (20–30) = fewer but stronger signals (good for swing/position).
If you often see flip-flops, lengthen the setting or take crosses only at VP/AVWAP levels.
Pro tip: Define a minimum separation rule for yourself (e.g., after a cross, require the gap between +DI and –DI to increase on the next bar). You don’t need extra code for this—just enforce it visually.
What to look for (pattern cheatsheet)
Cross + hold at a level: The lines cross at your level and keep separating → high-quality entry in that direction.
Sneaky fail: Cross, then immediate recross back → treat it as a fade signal back into value (especially near VAH/VAL).
Strength confirmation: After a breakout, +DI stays above –DI on pullbacks → trend is healthy; buy dips at AVWAP/POC.
Pre-move tell: DI lines unbraid and begin diverging before price leaves a range; wait for location + trigger.
Combining DI Xover with other tools
Cumulative Volume Delta v1 (CVDv1):
Use DI for direction, and CVDv1 for quality. A bullish DI cross with ALIGN OK + Imbalance strong + no Absorption is a far better long than DI alone.
If DI crosses up but CVDv1 flags Absorption (red), don’t chase—look for the fail/reclaim instead.
Volume Profile v3.2 :
Let VP choose the battleground (POC/VAH/VAL/LVNs). Take the DI crossover at those references.
Classic: bearish DI cross at VAH → fade toward POC; bullish DI cross at VAL → rotate to POC—assuming CVDv1 isn’t vetoing with Absorption.
Anchored VWAP :
Treat reclaims/rejections of AVWAP as the location and DI cross as the trigger.
Example: price reclaims Weekly AVWAP, then on the next pullback, a +DI cross up confirms the add.
Common pitfalls this helps you avoid
Trading crosses in the middle of nowhere. DI is a trigger, not a level; wait for VP/AVWAP.
Chasing every wiggle. When the lines are braided, you’re likely in balance—expect fake crosses.
Ignoring flow. A DI cross against CVDv1 Absorption is often a trap; quality > quantity.
Practical defaults to start with
Length: 14
Timeframes: Works out of the box on 15m–4H. For 1–5m scalps try 10–12; for daily/weekly swings try 20–30.
Process: Only act on crosses at levels (VP v3.2 / Anchored VWAP), and prefer those where CVDv1 says ALIGN OK and no Absorption.
Alerts (what they tell you)
Bullish DI Crossover: +DI crossed above –DI → buyers just took initiative. Look to your chart for location and CVDv1 quality before entering.
Bearish DI Crossover: –DI crossed above +DI → sellers took initiative. Same rule: confirm at a level with flow.
Open source & disclaimer
This indicator is published open source so traders can learn, adapt, and build rules they trust. No tool guarantees outcomes; risk management remains essential.
Disclaimer — Not Financial Advice.
The “Directional Indicator Crossovers ” indicator and this description are provided for educational purposes only and do not constitute financial or investment advice. Trading involves risk, including possible loss of capital. makes no warranties and assumes no responsibility for any trading decisions or outcomes resulting from the use of this script. Past performance is not indicative of future results.
Estrategia MACD//@version=6
indicator("Trading Sessions", overlay = true, max_boxes_count = 500, max_lines_count = 500, max_labels_count = 500)
bool showSessionNames = input.bool(true, "Show session names")
bool showSessionOC = input.bool(true, "Draw session open and close lines")
bool showSessionTickRange = input.bool(true, "Show tick range for each session")
bool showSessionAverage = input.bool(true, "Show average price per session")
const string TZ_TOOLTIP_TEXT = "The session's time zone, specified in either GMT notation (e.g., 'GMT-5') or as an IANA time zone database name (e.g., 'America/New_York')."
+ " We recommend the latter since it includes other time-related changes, such as daylight savings."
const string FIRST_SESSION_GROUP = "First Session"
showFirst = input.bool(true, "Show session", group = FIRST_SESSION_GROUP, display = display.none)
firstSessionName = input.string("Tokyo", "Displayed name", group = FIRST_SESSION_GROUP, display = display.none)
firstSessionTime = input.session("0900-1500", "Session time", group = FIRST_SESSION_GROUP, display = display.none)
firstSessionTZ = input.string("Asia/Tokyo", "Session timezone", group = FIRST_SESSION_GROUP, display = display.none, tooltip = TZ_TOOLTIP_TEXT)
firstSessionColor = input.color(color.new(#2962FF, 85), "Session color", group = FIRST_SESSION_GROUP)
const string SECOND_SESSION_GROUP = "Second session"
showSecond = input.bool(true, "Show session", group = SECOND_SESSION_GROUP, display = display.none)
secondSessionName = input.string("London", "Displayed name", group = SECOND_SESSION_GROUP, display = display.none)
secondSessionTime = input.session("0830-1630", "Session time", group = SECOND_SESSION_GROUP, display = display.none)
secondSessionTZ = input.string("Europe/London", "Session timezone", group = SECOND_SESSION_GROUP, display = display.none, tooltip = TZ_TOOLTIP_TEXT)
secondSessionColor = input.color(color.new(#FF9800, 85), "Session color", group = SECOND_SESSION_GROUP)
const string THIRD_SESSION_GROUP = "Third session"
showThird = input.bool(true, "Show session", group = THIRD_SESSION_GROUP, display = display.none)
thirdSessionName = input.string("New York", "Displayed name", group = THIRD_SESSION_GROUP, display = display.none)
thirdSessionTime = input.session("0930-1600", "Session time", group = THIRD_SESSION_GROUP, display = display.none)
thirdSessionTZ = input.string("America/New_York", "Session timezone", group = THIRD_SESSION_GROUP, display = display.none, tooltip = TZ_TOOLTIP_TEXT)
thirdSessionColor = input.color(color.new(#089981, 85), "Session color", group = THIRD_SESSION_GROUP)
type SessionDisplay
box sessionBox
label sessionLabel
line openLine
line avgLine
line closeLine
float sumClose
int numOfBars
type SessionInfo
color color
string name
string session
string timezone
SessionDisplay active = na
method setName(SessionDisplay this, string name) =>
sessionLabel = this.sessionLabel
sessionBox = this.sessionBox
boxText = array.new()
if showSessionTickRange
boxText.push("Range: " + str.tostring((sessionBox.get_top() - sessionBox.get_bottom()) / syminfo.mintick, format.mintick))
if showSessionAverage
boxText.push("Avg: " + str.tostring(this.sumClose / this.numOfBars, format.mintick))
if showSessionNames
boxText.push(name)
sessionLabel.set_y(sessionBox.get_bottom())
sessionLabel.set_text(array.join(boxText, " "))
method createSessionDisplay(SessionInfo this) =>
boxColor = this.color
opaqueColor = color.new(boxColor, 0)
dis = SessionDisplay.new(
sessionBox = box.new(bar_index, high, bar_index, low, bgcolor = boxColor, border_color = na),
sessionLabel = label.new(bar_index, low, "", style = label.style_label_upper_left, textalign = text.align_left, textcolor = opaqueColor, color = color(na)),
openLine = showSessionOC ? line.new(bar_index, open, bar_index, open, color = opaqueColor, style = line.style_dashed, width = 1) : na,
closeLine = showSessionOC ? line.new(bar_index, close, bar_index, close, color = opaqueColor, style = line.style_dashed, width = 1) : na,
avgLine = showSessionAverage ? line.new(bar_index, close, bar_index, close, style = line.style_dotted, width = 2, color = opaqueColor) : na,
sumClose = close,
numOfBars = 1
)
linefill.new(dis.openLine, dis.closeLine, boxColor)
dis.setName(this.name)
this.active := dis
method updateSessionDisplay(SessionInfo this) =>
sessionDisp = this.active
sessionBox = sessionDisp.sessionBox
openLine = sessionDisp.openLine
closeLine = sessionDisp.closeLine
avgLine = sessionDisp.avgLine
sessionDisp.sumClose += close
sessionDisp.numOfBars += 1
sessionBox.set_top(math.max(sessionBox.get_top(), high))
sessionBox.set_bottom(math.min(sessionBox.get_bottom(), low))
sessionBox.set_right(bar_index)
sessionDisp.setName(this.name)
if showSessionOC
openLine.set_x2(bar_index)
closeLine.set_x2(bar_index)
closeLine.set_y1(close)
closeLine.set_y2(close)
if showSessionAverage
avgLine.set_x2(bar_index)
avg = sessionDisp.sumClose / sessionDisp.numOfBars
avgLine.set_y1(avg)
avgLine.set_y2(avg)
sessionDisp
method update(SessionInfo this) =>
bool isChange = timeframe.change("1D")
if (not na(time("", this.session, this.timezone))) // inSession
if na(this.active) or isChange
this.createSessionDisplay()
else
this.updateSessionDisplay()
else if not na(this.active)
this.active := na
getSessionInfos()=>
array sessionInfos = array.new()
if showFirst
sessionInfos.push(SessionInfo.new(firstSessionColor, firstSessionName, firstSessionTime, firstSessionTZ))
if showSecond
sessionInfos.push(SessionInfo.new(secondSessionColor, secondSessionName, secondSessionTime, secondSessionTZ))
if showThird
sessionInfos.push(SessionInfo.new(thirdSessionColor, thirdSessionName, thirdSessionTime, thirdSessionTZ))
sessionInfos
var array sessionInfos = getSessionInfos()
if timeframe.isdwm
runtime.error("This indicator can only be used on intraday timeframes.")
for info in sessionInfos
info.update()
Macias Golden ZoneThe Macias Golden Zone indicator automatically detects the most recent pivot leg and draws the key Fibonacci retracement band between 0.618 – 0.790, with the 0.706 midline highlighted.
🔑 Features:
• Auto-detects swing legs from pivot highs/lows
• Shaded Golden Zone for easy visualization of prime reaction areas
• Optional 0.706 midline for sniper entries
• Optional 0.079 retrace line for deeper confluence
• Works with wicks (High/Low) or closes
📈 Use it to identify high-probability pullback zones where price often reacts during trending moves.
⚠️ This tool is for educational purposes only. Not financial advice. Always manage risk.
From Christopher Macias and the Golden zone family
EMA Candle Color
A customizable EMA indicator. colors candles based on their position relative to the moving average.
Candles turn one color when trading above the EMA (bullish) and another color when below (bearish), providing instant visual trend confirmation.
Includes adjustable buy/sell signals when price crosses the EMA, with fully customizable colors for all elements.
Perfect for quick trend identification across any timeframe.
Features adjustable EMA length, toggle options for signals and EMA line display, and (built-in alerts) for crossover events.
VIP move to top in object tree to maintain candle colors from switching back...
LETS GO!!
EL
ICT HTF Candles Volumen
This indicator is linked to the ICT HTF CANDLES indicator. Drawing a configurable higher timeframe on the current chart helps visualize price movement without changing timeframes, as Fadi says. However, if you also add volume for the people who work with it, it's even more helpful. It helps you see where we have volume spikes in high timeframes and where there's a lack of interest. This indicator is configured the same as Fadi's, since the code is his own, only adapted to volume.
Configuration
HTF Higher Timeframes: The indicator will display the volume of higher timeframes.
Number of Candles to Display: You can display any number of candles you want. Ideally, both indicators should have the same candle parameters so they match and align.
Body/Border/Wick: The colors of the candles for the body, border, and wick.
Current Candle Fill: The distance from the candles of the current timeframe.
Candle Spacing: Increase/decrease the spacing between candles.
Candle Width:
All of these aspects are configurable, just like the FADI indicator. Ideally, both indicators should have the same candle parameters so they match and align.
The indicator will be displayed in a separate section. Once configured, you can drag and drop the volume space on the timeframe to your chart.
Known issue:
The indicator works well during London and New York trading hours; outside of trading hours, not all candles match.
It also rarely performs well in backtesting.
(María AG)
As shown in the image on the left side you can configure one volume and on the right side the other.
KAPITAS TBR 12am-8:30measures the range between 12am(true day open)-8:30am and has % levels where price is sensitive and likely to reverse
Needle XRThe Didi Index with Full Validation is a technical indicator developed for the TradingView platform, based on the concept of the Didi Index, created by Odir Aguiar (Didi). It uses the relationship between three exponential moving averages (EMAs) of different periods to identify trend reversal or continuation points, known as "needle points." To increase signal reliability, the indicator incorporates validations from four widely used technical indicators: MACD, TRIX, DMI/ADX, and Stochastic. Buy and sell signals are displayed only when all validation conditions are met, ensuring greater accuracy.
The indicator is plotted in a separate panel below the price chart, displaying the Didi Index lines (positive and negative), a central reference line, and clear buy (green triangles) and sell (red triangles) signals.
Fixed-Range Volume-Profile ZonesFixed Range Volume Profile Zones (with Dynamic Percentile Buffers)
This indicator calculates a fixed‑range volume profile over a user‑defined lookback period and identifies three key zones:
– VAL (Value Area Low)
– POC (Point of Control)
– VAH (Value Area High)
Volume is grouped into user‑selected price bins to create a profile of where the most trading activity occurred.
The script then splits the distribution into three zones and highlights the extremes (VAL/VAH) and the highest‑volume price (POC).
Dynamic Percentile Buffers
Instead of static offsets, this version computes the 10th and 90th percentile prices (user‑adjustable) of recent closes over the same lookback window.
These percentiles are used to create adaptive buffers above VAH and below VAL.
The buffers automatically expand or contract with market volatility and recent price distribution, filtering out weak or noisy touches.
Visual Elements:
– Green/orange/red horizontal lines = VAL / VAH / POC
– Green shading below VAL = buy zone
– Red shading above VAH = sell zone
– Down arrows above bars = closes above VAH + buffer
– Up arrows below bars = closes below VAL – buffer
Inputs:
– Lookback Days: number of bars used to build the profile
– Number of Bins: controls resolution of the volume profile
– VAH Percentile and VAL Percentile: choose which percentile levels to use for dynamic buffers
Use Cases:
– Quickly identify areas of high participation (POC) and potential support/resistance (VAL/VAH)
– Filter out weak breakouts using dynamic buffers
– Combine with other signals to improve entries/exits
⚠️ Disclaimer:
This script is for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any security.
Past performance or historical data does not guarantee future results.
Always perform your own analysis and use risk management when trading.
Rudra ChakraA readymade template. Helps you to identify trend, momentum at a glance.
Blue dots for +momentum and red for -momentum.
Also the background Green, orange and red indicate the shift in trend. Buy signals indicate more than avg buying in some timeframe.
Brownian Motion Probabilistic Forecasting (Time Adaptive)Probabilistic Price Forecast Indicator
Overview
The Probabilistic Price Forecast is an advanced technical analysis tool designed for the TradingView platform. Instead of predicting a single future price, this indicator uses a Monte Carlo simulation to model thousands of potential future price paths, generating a cone of possibilities and calculating the probability of specific outcomes.
This allows traders to move beyond simple price targets and ask more sophisticated questions, such as: "What is the probability that this stock will increase by 5% over the next 24 hours?"
Core Concept: Geometric Brownian Motion
The indicator's forecasting model is built on the principles of Geometric Brownian Motion (GBM) , a widely accepted mathematical model for describing the random movements of financial asset prices. The core idea is that the next price step is a function of the asset's historical trend (drift), its volatility, and a random "shock."
The formula used to project each price step in the simulation is:
next_price = current_price * exp( (μ - (σ²/2))Δt + σZ√(Δt) )
Where:
μ (mu) represents the drift , which is the average historical return.
σ (sigma) represents the volatility , measured by the standard deviation of historical returns.
Z is a random variable from a standard normal distribution, representing the random "shock" or new information affecting the price.
Δt (delta t) is the time step for each projection.
How It Works
The indicator performs a comprehensive analysis on the most recent bar of the chart:
**Historical Analysis**: It first analyzes a user-defined historical period (e.g., the last 240 hours of price data) to calculate the asset's historical drift (μ) and volatility (σ) from its logarithmic returns.
**Monte Carlo Simulation**: It then runs thousands of simulations (e.g., 2000) of future price paths over a specified forecast period (e.g., the next 24 hours). Each path is unique due to the random shock (Z) applied at every step.
**Probability Distribution**: After all simulations are complete, it collects the final price of each path and sorts them to build a probability distribution of potential outcomes.
**Visualization and Signaling**: Finally, it visualizes this distribution on the chart and generates signals based on the user's criteria.
Key Features & Configuration
The indicator is highly configurable, allowing you to tailor its analysis to your specific needs.
Time-Adaptive Periods
The lookback and forecast periods are defined in hours , not bars. The script automatically converts these hour-based inputs into the correct number of bars based on the chart's current timeframe, ensuring the analysis remains consistent across different chart resolutions.
Forecast Quartiles
You can visualize the forecast as a "cone of probability" on the chart. The indicator draws lines and a shaded area representing the price levels for different quartiles (percentiles) of the simulation results. By default, this shows the range between the 25th and 95th percentiles.
Independent Bullish and Bearish Signals
The indicator allows you to set independent criteria for bullish and bearish signals, providing greater flexibility. You can configure:
A bullish signal for an X% confidence of a Y% price increase.
A bearish signal for a W% confidence of a Z% price decrease.
For example, you can set it to alert you for a 90% chance of a 2% drop, while simultaneously looking for a 60% chance of a 10% rally.
How to Interpret the Indicator
The Forecast Cone : The blue shaded area on the chart represents the probable range of future prices. The width of the cone indicates the expected volatility; a wider cone means higher uncertainty. The price labels on the right side of the cone show the calculated percentile levels at the end of the forecast period.
Green Signal Label : A green "UP signal" label appears when the probability of the price increasing by your target percentage exceeds your defined confidence level.
Red Signal Label : A red "DOWN signal" label appears when the probability of the price decreasing by your target percentage exceeds your confidence level.
This tool provides a statistical edge for understanding future possibilities but should be used in conjunction with other analysis techniques.
LW Outside Day Flip[SpeculationLab]Applicable Timeframe
⚠️ Note: This indicator is primarily designed for the Daily timeframe.
Larry Williams’ original discussion and statistics were based on daily data. While it can technically be applied to other timeframes, results may vary. It is strongly recommended to use it on daily charts.
Overview
This indicator marks a classic “Outside Day + Extreme Close” price action pattern. The idea comes from Larry Williams’ Long-Term Secrets to Short-Term Trading (2nd edition, Chapter 7).
The indicator does not execute trades or generate alerts — it simply plots visual markers on the chart when the pattern conditions are met, to assist research and review.
Logic
Outside Bar Condition
Current high > previous high
Current low < previous low
Extreme Close Filter
Long signal: Close < previous low
Short signal: Close > previous high
Confirmation
Signals are only confirmed at bar close (barstate.isconfirmed), to avoid repainting during intrabar movement.
Chart Display
When a long signal is triggered, a green downward triangle is plotted above the bar.
When a short signal is triggered, a red upward triangle is plotted below the bar.
Signals are overlaid directly on the price chart (overlay=true) and serve only as visual cues.
Usage Notes
Best used as a filter or secondary confirmation tool, not as a standalone entry trigger.
Consider combining with higher timeframe trend, key support/resistance, or volume analysis.
Entries, stop losses, and profit targets should be defined and tested independently by the trader.
Limitations and Risks
In strong trending markets, these signals may fail.
In low-liquidity or gapping conditions, accuracy may be reduced.
A single candlestick pattern cannot ensure consistent profitability.
Disclaimer
This script is for educational and research purposes only. It is not financial advice. Trading carries risk, and users are solely responsible for their own decisions and results.
===================
指标适用范围
⚠️ 特别提示：本指标主要适用于日线图（Daily Timeframe）。
Larry Williams 的原始讨论与统计均基于日线数据。虽然技术上可以在其它周期应用，但效果可能会不同，建议严格以日线作为主要参考周期。
功能概述
本指标用于在图表上标记一种经典的“外包线 + 极端收盘”的价格行为形态。思路参考 Larry Williams 在《Long-Term Secrets to Short-Term Trading》（第二版，第七章）中对日线“Outside Day”与反向收盘的讨论。指标不包含交易执行或提醒功能，仅在满足条件时绘制信号标记，用于辅助研究。
计算逻辑
外包线（Outside Bar）判定
最高价高于前一根K线的最高价；
最低价低于前一根K线的最低价。
极端收盘过滤
做多信号（Long）：收盘价低于前一根K线的最低价；
做空信号（Short）：收盘价高于前一根K线的最高价。
确认方式
仅在K线收盘后确认（避免盘中信号反复出现/消失）。
绘图说明
触发做多条件时，在K线 上方 绘制 绿色 向下三角形标记。
触发做空条件时，在K线 下方 绘制 红色 向上三角形标记。
信号直接叠加在价格图上（overlay=true），仅作提示。
使用建议
建议作为筛选条件或二次确认工具，不要单独作为入场依据；
可以配合趋势方向、关键支撑/阻力、成交量等其他因素一起使用；
入场、止损与止盈需由使用者自行定义和验证。
限制与风险
在强趋势行情中，信号可能失效；
在低流动性或跳空行情中，信号准确度下降；
单一形态不能保证稳定盈利。
免责声明
本指标仅用于教育与研究，不构成投资建议。实际交易风险由使用者自行承担。
