Turtle System 1 (20/10) + N-Stop + MTF Table V7.2🐢 Description: Turtle System 1 (20/10) IndicatorThis indicator implements the original trading signals of the Turtle Trading System 1 based on the classic Donchian Channels. It incorporates a historically correct, volatility-based Trailing Stop (N-Stop) and a Multi-Timeframe (MTF) status dashboard. The script is written in Pine Script v6, optimized for performance and reliability.📊 Core Logic and ParametersThe system is a pure trend-following model, utilizing the more widely known, conservative parameters of the Turtle System 1:FunctionParameterValueDescriptionEntry$\text{Donchian Breakout}$$\mathbf{20}$Buy/Sell upon breaking the 20-day High/Low.Exit (Turtle)$\text{Donchian Breakout}$$\mathbf{10}$Close the position upon breaking the 10-day Low/High.Volatility$\mathbf{N}$ (ATR Period)$\mathbf{20}$Calculation of market volatility using the Average True Range (ATR).Stop-LossMultiplier$\mathbf{2.0} BER:SETS the initial and Trailing Stop at $\mathbf{2N}$.🛠️ Key Technical Features1. Original Turtle Trailing Stop (Section 4)The stop-loss mechanism is implemented with the historically accurate Turtle Trailing Logic. The stop is not aggressively tied to the current candle's low/high, which often causes premature exits. Instead, the stop only trails in the direction of the trend, maximizing the previous stop price against the new calculated $\text{Close} \pm 2N$:$$\text{New Trailing Stop} = \text{max}(\text{Previous Stop}, \text{Close} \pm (2 \times N))$$2. Reliable Multi-Timeframe (MTF) Status (Section 6)The indicator features a robust MTF status table.Purpose: It calculates and persistently stores the Turtle System 1 status (LONG=1, SHORT=-1, FLAT=0) for various timeframes (1H, 4H, 8H, 1D, and 1W).Method: It uses global var int variables combined with request.security(), ensuring the status is accurately maintained and updated across different bars and timeframes, providing a reliable higher-timeframe context.3. VisualizationsChannels: The 20-period (Entry) and 10-period (Exit) Donchian Channels are plotted.Stop Line: The dynamic $\mathbf{2N}$ Trailing Stop is visible as a distinct line.Signals: plotshape markers indicate Entry and Exit.MTF Table: A clean, color-coded status summary is displayed in the upper right corner.
Indicators and strategies
Turtle System 2 (55/20) + N-Stop + MTF Table V7.2🐢 Description: Turtle System 2 (55/20) IndicatorThis indicator implements the trading signals of the Turtle Trading System 2 based on the classic Donchian Channels, supplemented by a historically correct, volatility-based Trailing Stop (N-Stop) and a Multi-Timeframe (MTF) status overview. The script was developed in Pine Script v6 and is optimized for performance and robustness.📊 Core Logic and ParametersThe indicator is based on the rule-based trend-following system developed by Richard Dennis and William Eckhardt, utilizing the more aggressive Entry/Exit parameters of System 2:FunctionParameterValueDescriptionEntry$\text{Donchian Breakout}$$\mathbf{55}$Buy/Sell upon breaking the 55-day High/Low.Exit (Turtle)$\text{Donchian Breakout}$$\mathbf{20}$Close the position upon breaking the 20-day Low/High.Volatility$\mathbf{N}$ (ATR Period)$\mathbf{20}$Calculation of market volatility using the Average True Range (ATR).Stop-LossMultiplier$\mathbf{2.0} BER:SETS the initial and Trailing Stop at $\mathbf{2N}$.🛠️ Technical Implementation1. Correct Trailing Stop (Section 4)In contrast to many flawed implementations, the Trailing Stop is implemented here according to the Original Turtle Logic. The stop price (current_stop_price) is not aggressively tied to the current low or high. Instead, at the close of each bar, it is only trailed in the direction of the trade (math.max for long positions) based on the formula:$$\text{New Trailing Stop} = \text{max}(\text{Previous Stop}, \text{Close} \pm (2 \times N))$$This ensures the stop is only adjusted upon sustained positive movement and is not prematurely triggered by short-term, deep price shadows.2. Reliable Multi-Timeframe (MTF) Logic (Section 6)The MTF section utilizes global var int variables (mtf_status_1h, mtf_status_D, etc.) in conjunction with the request.security() function.Purpose: Calculates and persistently stores the current Turtle System 2 status (LONG=1, SHORT=-1, FLAT=0) for the timeframes 1H, 4H, 8H, 1D, and 1W.Advantage: By persistently storing the status using the var variables, the critical error of single-update status is eliminated. The states shown in the table are reliable and accurately reflect the Turtle System's position status on the respective timeframes.3. Visual ComponentsDonchian Channels: The entry (55-period) and exit (20-period) channels are drawn with color highlighting.N-Stop Line: The dynamically calculated Trailing Stop ($\mathbf{2N}$) is displayed as a magenta line.Visual Signals: plotshape markers indicate Entry and Exit points.MTF Table: A compact status summary with color coding (Green/Red/Gray) for the higher timeframes is displayed in the upper right corner.
Multi-Timeframe TTM Squeeze Pro with alerts and screenersBased of John Carters TTM Squeeze. Must open the settings and select wether you want to match the timeframe in your chart. This must be done in the pinescreener as well otherwise results will not be correct.
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# **Squeeze Momentum Pro – Enhanced Screener + EMA Cross Alerts**
This custom version of the Squeeze Momentum indicator expands the standard TTM-style squeeze with screening and automated alert logic so you can quickly find high-quality setups across many tickers.
---
## **What This Script Does**
This indicator plots a three-level squeeze visual similar to TTM Squeeze:
Dot meanings in this indicator
Orange dot:
Strongest squeeze – Bollinger Bands are inside the tightest Keltner level (highest volatility compression).
Red dot:
Medium squeeze – still compressed, but not as tight as orange.
Black dot:
Weak squeeze / lowest level of volatility compression.
Price is coiling, but not as tight as the higher levels.
Green dot (“Fired”):
Squeeze has released — Bollinger Bands have expanded out of the channels and momentum is moving.
A momentum histogram is plotted to show directional pressure during the squeeze.
---
## **Major Improvements Added**
### **① Screenable Conditions for Stock Scanners**
This version includes multiple `alertcondition()` flags so the script can be used as a **Pine Screener inside TradingView**.
Currently it can screen for:
✔ Price closing above the 50-SMA
✔ Presence of an **orange (strong) squeeze dot**
✔ 6/20 EMA crossover signals inside a squeeze
These can be used inside the TradingView Screener or in watchlists to automatically highlight qualifying tickers.
---
### **② 6/20 EMA Trend Signals (Filtered by Squeeze)**
A crossover system was added:
* **Bullish Signal:** 6 EMA crosses above 20 EMA
* **Bearish Signal:** 6 EMA crosses below 20 EMA
But **these signals only trigger if the market is in a red or orange squeeze**, which helps remove noise and focus on valid setups.
---
### **③ Visual Markers Under the Histogram**
Whenever an EMA crossover occurs during a squeeze:
* A **green up-triangle** is plotted for a bullish cross
* A **red down-triangle** for a bearish cross
These markers are drawn **below the histogram**, keeping the display clean while still providing quick visual cues.
---
### **④ Fully Non-Repainting Logic**
All signals and squeeze calculations are based on standard fully-resolved `ta.*` functions, making the results stable both in backtesting and real-time.
---
## **Who This Script Helps**
This version is ideal for:
* Traders who use TradingView’s screener and want automated breakout/continuation filtering
* Traders who scan large watchlists for squeeze setups
* Users who want trend confirmation during volatility compression
---
## **How to Use It**
1. Add the script to your chart
2. Open TradingView Alerts or Screener
3. Select the conditions you want, for example:
* *“Orange Squeeze Detected”*
* *“Squeeze Fire after 3 squeeze dots*
* *“4 REd Dots in a row.”*
* *“Buy Alert”*
* *“EMA 6/20 Bullish Crossover (Squeeze Only)”*
* *“Close Above 50 SMA”*
Once active, TradingView will automatically flag symbols that meet the criteria.
---
## **Summary**
This enhanced Squeeze Momentum indicator turns the standard TTM-style visual into a **true screening and alert system** by adding:
* Multi-level squeezes
* EMA trend signals
* Screener-compatible alert conditions
* Clean visual signals
* Non-repainting logic
It helps traders quickly locate high-probability setups across any watchlist or market.
Donchian Channels + Fibs//@version=6
indicator(title="Donchian Channels + Fibs", shorttitle="DC Fibs", overlay=true, timeframe="", timeframe_gaps=true)
// --- 1. 输入设置 ---
length = input.int(20, minval = 1, title="Length")
offset = input.int(0, "Offset")
show_fibs = input.bool(true, "Show Fib Levels")
// --- 2. 核心计算 ---
lower = ta.lowest(length) // 0.0 (下轨)
upper = ta.highest(length) // 1.0 (上轨)
basis = math.avg(upper, lower) // 0.5 (中轨)
range_val = upper - lower // 高度
// --- 3. 斐波那契计算 ---
f_786 = lower + range_val * 0.786
f_618 = lower + range_val * 0.618
f_382 = lower + range_val * 0.382
f_236 = lower + range_val * 0.236
// --- 4. 绘图 (已修复样式错误) ---
// 上下轨 (最粗实线)
u = plot(upper, "Upper 1.0", color = #2962FF, linewidth=2, offset = offset)
l = plot(lower, "Lower 0.0", color = #2962FF, linewidth=2, offset = offset)
// 中轴 (中等实线)
plot(basis, "Basis 0.5", color = #FF6D00, linewidth=1, offset = offset)
// 斐波那契内部线
// 修复点：删除了不支持的 style_dashed/dotted，改为默认实线，但保留了透明度
// 0.786 (偏红)
plot(show_fibs ? f_786 : na, "Fib 0.786", color = color.new(#f23645, 30), linewidth=1, offset = offset)
// 0.618 (橙色)
p_618 = plot(show_fibs ? f_618 : na, "Fib 0.618", color = color.new(color.orange, 30), linewidth=1, offset = offset)
// 0.382 (橙色)
p_382 = plot(show_fibs ? f_382 : na, "Fib 0.382", color = color.new(color.orange, 30), linewidth=1, offset = offset)
// 0.236 (偏绿)
plot(show_fibs ? f_236 : na, "Fib 0.236", color = color.new(#089981, 30), linewidth=1, offset = offset)
// --- 5. 背景填充 ---
fill(p_618, p_382, color = color.new(color.orange, 85), title="Golden Zone Fill")
fill(u, l, color = color.rgb(33, 150, 243, 95), title = "Background")
Faraz Perfect Structure Scalper + Long Short (Indicator Alerts)XL/XS = Swing-quality trend continuation signals
Buy/Sell Scalp = TEMA+MACD-based fast scalp entries
Designed for MNQ/NQ but can be used on any instrument.
_______
What this script does
Plots structure-based levels (support/resistance, breakout, stop levels).
Marks perfect trend entries as XL (long) and XS (short) using structure + RSI + MACD + 200 EMA trend.
Marks base Long/Short signals as earlier, more aggressive entries.
Adds scalper signals (Buy Scalp / Sell Scalp) based on a TEMA + MACD momentum engine (inspired by ITG style logic) for fast in–out trades.
________
How I use it
I trade scalps primarily from the Buy/Sell Scalp triangles.
I use XL/XS and the structure bands to understand higher-quality swing entries and where price is likely to react.
I avoid trading when price is in the orange “no-add zone” between structure and breakout.
Warning
Futures are highly leveraged. Backtest and forward-test any setup first.
Scalper signals are designed for quick execution with tight risk management.
Turtle System 1 Long & Short (Donchian + N-Stop) + MTF Table V6 Turtle Trading Long & Short (System 1 – 20/10 Donchian + True 2N Trailing Stop) + Multi-Timeframe Dashboard – Pine Script v6This indicator is a 100 % faithful implementation of the famous original Turtle Trading System 1 (Richard Dennis & William Eckhardt) with the following genuine rules:Entry: 20-period Donchian Channel breakout (using the high/low of the previous completed bars only → )
Exit: Classic 10-period Donchian opposite breakout OR hit of the volatility-based stop
Risk Management: True 2N trailing stop (N = 20-period ATR). The stop is pulled tighter on every new favorable extreme (real Turtle trailing – not fixed!)
Fully dynamic position tracking (Long / Short / Flat) on the chart’s timeframe
Visual signals: green/red triangles for entries, diamonds for exits, trailing stop line, entry labels with current N and stop price
Unique Feature – Multi-Timeframe (MTF) Status Table
A clean table in the top-right corner instantly shows the current Turtle position status on five higher timeframes simultaneously:Turtle MTF
1H
4H
8H
1D
1W
Status
LONG / SHORT / FLAT (color-coded)
This allows you to see at a glance whether higher timeframes are already in a Turtle trend – perfect for trend confirmation, filtering, or multi-timeframe trading.Key Visual ElementsLime upper Donchian line (20-period high)
Red lower Donchian line (10-period low)
Gray channel fill
Fuchsia trailing 2N stop line (moves only in favorable direction)
Entry labels showing current N-value and exact stop price
Arrows and diamonds for entries/exits
Alerts
Two ready-to-use alert conditions:“Turtle Long Entry”
“Turtle Short Entry”
Works on any market and any chart timeframe (stocks, forex, futures, crypto).
Completely written and tested in Pine Script version 6.A true, clean, no-nonsense Turtle System 1 with real trailing volatility stops and a powerful higher-timeframe dashboard – exactly how the original Turtles traded (only better visualized)! Enjoy the trends!
Previous Day Candle [ApexFX]Previous Day Candle is a precision tool designed for intraday traders who rely on previous daily structures to find support and resistance.
While most indicators simply mark the previous high and low, this tool focuses on Session Continuity. It highlights the full 24-hour range of the previous day and extends those levels into the "Killzone" of the current trading day (up to 2:00 PM EST / 12:00 PM MST).
Why use this? Market reaction often occurs at the previous day's extremes. By extending these lines into the current session, you can easily spot:
Breakouts: Price pushing through yesterday's high.
Failed Auctions: Price sweeping yesterday's low and reversing.
Support/Resistance Flips: Old highs becoming new support.
Main Features:
Asset Class Presets: Don't worry about timezones. Simply select your market:
Forex: Aligns to the standard 5:00 PM EST New York Open.
Indices: Aligns to the 6:00 PM EST Globex Open.
Crypto: Aligns to UTC Midnight.
Custom: Full manual control for specific needs.
Visual "Boxing": Vertical dotted lines clearly demarcate the start and end of the previous trading day.
Dynamic History: Choose to show just yesterday's levels or look back at the last 5+ days.
Smart Color Coding: The indicator automatically cycles colors for each day (Blue = Yesterday, Green = 2 Days Ago, etc.), making it instant to read historical price action.
Best Used On: Intraday timeframes (5m, 15m, 1h).
Mini Checklist (Left-side, static)It's a mini checklist on the left side of the chart serving as a note for when you trade.
Pretty simple
SMI Color Red/Green📌 TradingView Description – SMI Red/Green Momentum Line
🔥 Stochastics Momentum Index (SMI) – Dynamic Red/Green Version
This indicator is an enhanced and modernized version of the Stochastic Momentum Index (SMI), designed to deliver a more visual, intuitive, and responsive view of trend momentum.
It includes:
✔️ Smoothed SMI
✔️ Dynamic Red/Green momentum coloring
✔️ Signal EMA line
✔️ Overbought/Oversold zones with shading
🎨 Dynamic Red/Green SMI Line
The main SMI line automatically changes color based on momentum direction:
Green → Bullish momentum (SMI rising)
Red → Bearish momentum (SMI falling)
This provides instant visual feedback and highlights early momentum changes even before traditional signal-line crossovers.
📉 Indicator Structure
1️⃣ Smoothed SMI
The SMI is calculated using the price’s position inside its range and then smoothed with an SMA to reduce noise.
2️⃣ EMA Signal Line
A customizable EMA acts as a signal line, providing:
Clear bullish/bearish crossovers
Trend confirmation
Cleaner entry/exit signals
3️⃣ Overbought / Oversold Zones
Extreme levels are highlighted using color-filled zones:
Red Zone (Overbought) → potential bearish reversal
Green Zone (Oversold) → potential bullish reversal
Levels are fully adjustable.
💡 How to Use It
The indicator works exceptionally well across all timeframes.
The most powerful signals are:
✔️ SMI crossing above/below the EMA
SMI crosses above EMA → bullish signal
SMI crosses below EMA → bearish signal
✔️ Leaving Overbought/Oversold zones
SMI exits the oversold zone → potential long setup
SMI exits the overbought zone → potential short setup
✔️ Color shifts (momentum direction)
Red → Green : early bullish momentum
Green → Red : early bearish momentum
Perfect for scalping, day trading, and swing trading.
🚀 Why This Version Is Better
Extremely visual momentum reading
Noise reduction through smoothing
Instantly readable color-coded trend
Strong OB/OS zone visualization
Works on any market and timeframe
Great in combination with RSI, MACD, HMA, ALMA, and trend filters
If you'd like, I can also write:
🔹 a SEO-optimized title,
🔹 recommended TradingView tags,
🔹 or a shorter promotional description.
Hidden Zone Detector AI - Crypto/Forex/StockHidden Zone Detector AI - Crypto Forex Stock
Hidden Zone Detector AI is a professional TradingView indicator designed to find hidden supply and demand zones across markets — crypto, forex and stocks — and surface high-probability areas earlier than classical pivot-only methods. It combines price structure analysis, volatility/ATR sizing, volume profiling and multi-mode AI heuristics (Fast / Balanced / Accurate) to generate prediction zones, highlight tested areas, and visually mark zone breakouts. Built with practical trader workflow in mind: configurable anti-repaint options, adaptable Light/Dark UI, clear labels, and candle-coloring for immediate visual context.
How it works
• Detects hidden zones by scanning pivot formations and finding internal “hidden” bars that represent real institutional activity (not just visible swing points).
• Scores zones by size (ATR-relative), volume, and touch characteristics to produce a strength percentage (Weak/Medium/Strong).
• AI heuristics aggregate price, momentum, moving averages, RSI/MACD signals and volume patterns to propose prediction zones — adjustable for speed vs. accuracy.
• Zones are drawn as persistent boxes with optional midlines, labels, and tailored styling when broken or tested.
Main advantages
• Early edge: finds hidden zones that often act before obvious pivots.
• Actionable visuals: labeled zones, color-coded candles, and breakout styling speed decision-making.
• Flexible AI modes: choose Fast for responsiveness, Balanced for day-to-day use, or Accurate for stricter signals.
• Anti-repaint controls: require confirmed bars for predictions to improve signal reliability.
• Multi-market ready: tuned for crypto, forex and stock chart behavior.
• Light/Dark friendly: UI color handling ensures labels remain readable on any chart background.
• Open & reusable: released under Mozilla Public License 2.0 (MPL-2.0) — use and adapt freely with attribution.
Best practices & tips
• Start with Balanced mode and sensitivity ~5; increase sensitivity for earlier but noisier predictions.
• Use prediction confirmation (Require AI Prediction Confirmation) for lower repaint risk.
• Combine zone reads with higher-timeframe context and orderflow/volume tools for stronger entries.
• Adjust max active zones and opacity to keep charts clean on lower timeframes.
License & author
Mozilla Public License 2.0 (MPL-2.0).
Author: a_jabbaroff — created with care for the TradingView community and fellow traders.
Smart Money Volume Matrix [Ata]Smart Money Volume Matrix
The Smart Money Volume Matrix (SMV Matrix) is an advanced volume-spread analysis (VSA) dashboard and charting tool designed to identify significant market anomalies by analyzing the relationship between price extremes and volume flow.
Unlike traditional indicators that rely solely on moving averages or oscillators, this tool performs a "Snapshot Analysis" of a defined lookback period (default: 100 bars) to rank price action based on Order Flow Dominance. It isolates the Top 10 Highest and Lowest Close prices and scrutinizes the volume behind them to categorize market sentiment into four distinct phases: Distribution, No Demand, Absorption, and Exhaustion.
Core Logic & Methodology
The script operates on a Zero-Lag Snapshot Engine. It does not print historical signals bar-by-bar; instead, it evaluates the current market structure relative to the recent history (Lookback Period).
1. Ranking Engine: The script scans the lookback period to find the Top 10 Highest Closes and Top 10 Lowest Closes.
2. Volume Classification: For each ranked bar, it calculates the "Intrabar Buy/Sell Volume" (or approximates it using candle geometry if Intrabar data is unavailable).
3. Dominance Detection: It compares Buying Volume vs. Selling Volume to determine who is in control at critical price levels.
Signal Classifications (VSA Logic)
The indicator generates labels on the chart and updates the dashboard table based on the following logic:
1. At Price Tops (Resistance Areas):
- Distribution (Supply): High Price + High Total Volume + Sellers Dominant.
Interpretation: Indicates heavy institutional selling into rising prices. Often precedes a reversal.
- Buy Climax: High Price + High Total Volume + Buyers Dominant.
Interpretation: Extreme buying frenzy. While bullish, it often marks a "trap" or temporary top due to exhaustion.
- No Demand: High Price + Low Volume.
Interpretation: Prices drifted higher but lack institutional participation. A sign of weakness.
2. At Price Bottoms (Support Areas):
- Absorption: Low Price + High Total Volume + Buyers Dominant.
Interpretation: Institutional money is absorbing selling pressure (passive buying). A strong sign of accumulation.
- Panic Sell: Low Price + High Total Volume + Sellers Dominant.
Interpretation: Extreme fear. High volume at lows typically indicates capitulation and potential hands-changing.
- Exhaustion: Low Price + Low Volume.
Interpretation: Selling pressure has dried up. The market may float upward due to lack of sellers.
Key Features
- Dashboard Matrix Table:
Displays the exact Close Price, Buy/Sell Volume, and Market State (Group) for the Top 10 ranking bars.
Smart Footer: Automatically detects the active "Resistance Zone" (derived from G1 Distribution levels) and "Support Zone" (derived from G3 Absorption levels) and reports the current price status relative to these zones (e.g., "Testing Resistance", "Breakout", "At Support").
- Smart Zones (Auto S/R):
Automatically draws Support and Resistance boxes extending into the future based on the most significant volume clusters found in the rankings. Includes logic to detect "Flips" (e.g., when Support breaks, it is labeled as a flip to Resistance).
- Average Trend Channels:
Calculates a Linear Regression trend line based specifically on the coordinates of the Top 10 Highs and Top 10 Lows, providing a "Best Fit" channel for the current market structure.
- Visual Clarity:
Labels utilize a "Smart Stacking" algorithm to prevent overlap on the chart. Guide lines connect labels to their respective candles for precise identification.
Settings & Configuration
- Matrix Settings: Lookback Period (default 100 bars) and Top Rank Count.
- Volume Engine: Choose between "Intrabar (Precise)" for accurate order flow or "Geometry (Approx)" for standard volume estimation.
- Visuals: Toggle Table, Labels, Lines, Zones, and Trend Lines. Adjust transparency and font sizes.
IMPORTANT NOTE ON SNAPSHOT LOGIC
This indicator is designed as a Real-Time Dashboard. It continuously updates the "Top 10" list as new candles form. Therefore, a label that appears on a candle may disappear if that candle falls out of the Top 10 ranking or leaves the lookback window. This is intended behavior to ensure the chart always reflects the current most critical levels, rather than a historical record of past signals. It is best used for live market analysis rather than historical back testing.
Disclaimer: This tool is for educational and analytical purposes only. Volume analysis is subjective and should be used in conjunction with other methods of technical analysis.
ATH대비 지정하락률에 도착 시 매수 - 장기홀딩 선물 전략(ATH Drawdown Re-Buy Long Only)본 스크립트는 과거 하락 데이터를 이용하여, 정해진 하락 %가 발생하는 경우 자기 자본의 정해진 %만큼을 진입하게 설계되어진 스트레티지입니다.
레버리지를 사용할 수 있으며 기본적으로 셋팅해둔 값이 내장되어있습니다.(자유롭게 바꿔서 쓰시면 됩니다.) 추가적으로 2번의 진입 외에도 다른 진입 기준, 진입 %를 설정하실 수 있으며 - ChatGPT에게 요청하면 수정해줄 것입니다.
실제 사용용도로는 KillSwitch 기능을 꺼주세요. 바 돋보기 기능을 켜주세요.
ATH Drawdown Re-Buy Long Only 전략 설명
1. 전략 개요
ATH Drawdown Re-Buy Long Only 전략은 자산의 역대 최고가(ATH, All-Time High)를 기준으로 한 하락폭(드로우다운)을 활용하여,
특정 구간마다 단계적으로 롱 포지션을 구축하는 자동 재매수(Long Only) 전략입니다.
본 전략은 다음과 같은 목적을 가지고 설계되었습니다.
급격한 조정 구간에서 체계적인 분할 매수 및 레버리지 활용
ATH를 기준으로 한 명확한 진입 규칙 제공
실시간으로
평단가
레버리지
청산가 추정
계좌 MDD
수익률
등을 시각적으로 제공하여 리스크와 포지션 상태를 직관적으로 확인할 수 있도록 지원
※ 본 전략은 교육·연구·백테스트 용도로 제공되며,
어떠한 형태의 투자 권유 또는 수익을 보장하지 않습니다.
2. 전략의 핵심 개념
2-1. ATH(역대 최고가) 기준 드로우다운
전략은 차트 상에서 항상 가장 높은 고가(High)를 ATH로 기록합니다.
새로운 고점이 형성될 때마다 ATH를 갱신하고, 해당 ATH를 기준으로 다음을 계산합니다.
현재 바의 저가(Low)가 ATH에서 몇 % 하락했는지
현재 바의 종가(Close)가 ATH에서 몇 % 하락했는지
그리고 사전에 설정한 두 개의 드로우다운 구간에서 매수를 수행합니다.
1차 진입 구간: ATH 대비 X% 하락 시
2차 진입 구간: ATH 대비 Y% 하락 시
각 구간은 ATH가 새로 갱신될 때마다 한 번씩만 작동하며,
새로운 ATH가 생성되면 다시 “1차 / 2차 진입 가능 상태”로 초기화됩니다.
2-2. 첫 포지션 100% / 300% 특수 규칙
이 전략의 중요한 특징은 **“첫 포지션 진입 시의 예외 규칙”**입니다.
전략이 현재 어떠한 포지션도 들고 있지 않은 상태에서
최초로 롱 포지션을 진입하는 시점(첫 포지션)에 대해:
기본적으로는 **자산의 100%**를 기준으로 포지션을 구축하지만,
만약 그 순간의 가격이 ATH 대비 설정값 이상(예: 약 –72.5% 이상 하락한 상황) 이라면
→ 자산의 300% 규모로 첫 포지션을 진입하도록 설계되어 있습니다.
이 규칙은 다음과 같이 동작합니다.
첫 진입이 1차 드로우다운 구간에서 발생하든,
첫 진입이 2차 드로우다운 구간에서 발생하든,
현재 하락폭이 설정된 기준 이상(예: –72.5% 이상) 이라면
→ “이 정도 하락이면 첫 진입부터 더 공격적으로 들어간다”는 의미로 300% 규모로 진입
그 이하의 하락폭이라면
→ 첫 진입은 100% 규모로 제한
즉, 전략은 다음 두 가지 모드로 동작합니다.
일반적인 상황의 첫 진입: 자산의 100%
심각한 드로우다운 구간에서의 첫 진입: 자산의 300%
이 특수 규칙은 깊은 하락에서는 공격적으로, 평소에는 상대적으로 보수적으로 진입하도록 설계된 것입니다.
3. 전략 동작 구조
3-1. 매수 조건
차트 상 High 기준으로 ATH를 추적합니다.
각 바마다 해당 ATH에서의 하락률을 계산합니다.
사용자가 설정한 두 개의 드로우다운 구간(예시):
1차 구간: 예를 들어 ATH – 50%
2차 구간: 예를 들어 ATH – 72.5%
각 구간에 대해 다음과 같은 조건을 확인합니다.
“이번 ATH 구간에서 아직 해당 구간 매수를 한 적이 없는 상태”이고,
현재 바의 저가(Low)가 해당 구간 가격 이하를 찍는 순간
→ 해당 바에서 매수 조건 충족으로 간주
실제 주문은:
해당 구간 가격에 맞춰 롱 포지션 진입(리밋/시장가 기반 시뮬레이션) 으로 처리됩니다.
3-2. ATH 갱신과 진입 기회 리셋
차트 상에서 새로운 고점(High)이 기존 ATH를 넘어서는 순간,
ATH가 갱신되고,
1차 / 2차 진입 여부를 나타내는 내부 플래그가 초기화됩니다.
이를 통해, 시장이 새로운 고점을 돌파해 나갈 때마다,
해당 구간에서 다시 한 번씩 1차·2차 드로우다운 진입 기회를 갖게 됩니다.
4. 포지션 사이징 및 레버리지
4-1. 계좌 자산(Equity) 기준 포지션 크기 결정
전략은 현재 계좌 자산을 다음과 같이 정의하여 사용합니다.
현재 자산 = 초기 자본 + 실현 손익 + 미실현 손익
각 진입 구간에서의 포지션 가치는 다음과 같이 결정됩니다.
1차 진입 구간:
“자산의 몇 %를 사용할지”를 설정값으로 입력
설정된 퍼센트를 계좌 자산에 곱한 뒤,
다시 전략 내 레버리지 배수(Leverage) 를 곱하여 실제 포지션 가치를 계산
2차 진입 구간:
동일한 방식으로, 독립된 퍼센트 설정값을 사용
즉, 포지션 가치는 다음과 같이 계산됩니다.
포지션 가치 = 현재 자산 × (해당 구간 설정 % / 100) × 레버리지 배수
그리고 이를 해당 구간의 진입 가격으로 나누어 실제 수량(토큰 단위) 를 산출합니다.
4-2. 첫 포지션의 예외 처리 (100% / 300%)
첫 포지션에 대해서는 위의 일반적인 퍼센트 설정 대신,
다음과 같은 고정 비율이 사용됩니다.
기본: 자산의 100% 규모로 첫 포지션 진입
단, 진입 시점의 ATH 대비 하락률이 설정값 이상(예: –72.5% 이상) 일 경우
→ 자산의 300% 규모로 첫 포지션 진입
이때 역시 다음 공식을 사용합니다.
포지션 가치 = 현재 자산 × (100% 또는 300%) × 레버리지
그리고 이를 가격으로 나누어 실제 진입 수량을 계산합니다.
이 규칙은:
첫 진입이 1차 구간이든 2차 구간이든 동일하게 적용되며,
“충분히 깊은 하락 구간에서는 첫 진입부터 더 크게,
평소에는 비교적 보수적으로” 라는 운용 철학을 반영합니다.
4-3. 실레버리지(Real Leverage)의 추적
전략은 각 바 단위로 다음을 추적합니다.
바가 시작할 때의 기존 포지션 크기
해당 바에서 새로 진입한 수량
이를 바탕으로, 진입이 발생한 시점에 다음을 계산합니다.
실제 레버리지 = (포지션 가치 / 현재 자산)
그리고 차트 상에 예를 들어:
Lev 2.53x 와 같은 형식의 레이블로 표시합니다.
이를 통해, 매수 시점마다 실제 계좌 레버리지가 어느 정도였는지를 직관적으로 확인할 수 있습니다.
5. 시각화 및 모니터링 요소
5-1. 차트 상 시각 요소
전략은 차트 위에 다음과 같은 정보를 직접 표시합니다.
ATH 라인
High 기준으로 계산된 역대 최고가를 주황색 선으로 표시
평단가(평균 진입가) 라인
현재 보유 포지션이 있을 때,
해당 포지션의 평균 진입가를 노란색 선으로 표시
추정 청산가(고정형 청산가) 라인
포지션 수량이 변화하는 시점을 감지하여,
당시의 평단가와 실제 레버리지를 이용해 근사적인 청산가를 계산
이를 빨간색 선으로 차트에 고정 표시
포지션이 없거나 레버리지가 1배 이하인 경우에는 청산가 라인을 제거
매수 마커 및 레이블
1차/2차 매수 조건이 충족될 때마다 해당 지점에 매수 마커를 표시
"Buy XX% @ 가격", "Lev XXx" 형태의 라벨로
진입 비율과 당시 레버리지를 함께 시각화
레이블의 위치는 설정에서 선택 가능:
바 아래 (Below Bar)
바 위 (Above Bar)
실제 가격 위치 (At Price)
5-2. 우측 상단 정보 테이블
차트 우측 상단에는 현재 계좌·포지션 상태를 요약한 정보 테이블이 표시됩니다.
대표적으로 다음 항목들이 포함됩니다.
Pos Qty (Token)
현재 보유 중인 포지션 수량(토큰 기준, 절대값 기준)
Pos Value (USDT)
현재 포지션의 시장 가치 (수량 × 현재 가격)
Leverage (Now)
현재 실레버리지 (포지션 가치 / 현재 자산)
DD from ATH (%)
현재 가격 기준, 최근 ATH에서의 하락률(%)
Avg Entry
현재 포지션의 평균 진입 가격
PnL (%)
현재 포지션 기준 미실현 손익률(%)
Max DD (Equity %)
전략 전체 기간 동안 기록된 계좌 기준 최대 손실(MDD, Max Drawdown)
Last Entry Price
가장 최근에 포지션을 추가로 진입한 직후의 평균 진입 가격
Last Entry Lev
위 “Last Entry Price” 시점에서의 실레버리지
Liq Price (Fixed)
위에서 설명한 고정형 추정 청산가
Return from Start (%)
전략 시작 시점(초기 자본) 대비 현재 계좌 자산의 총 수익률(%)
이 테이블을 통해 사용자는:
현재 계좌와 포지션의 상태
리스크 수준
누적 성과
를 직관적으로 파악할 수 있습니다.
6. 시간 필터 및 라벨 옵션
6-1. 전략 동작 기간 설정
전략은 옵션으로 특정 기간에만 전략을 동작시키는 시간 필터를 제공합니다.
“Use Date Range” 옵션을 활성화하면:
시작 시각과 종료 시각을 지정하여
해당 구간에 한해서만 매매가 발생하도록 제한
옵션을 비활성화하면:
전략은 전체 차트 구간에서 자유롭게 동작
6-2. 진입 라벨 위치 설정
사용자는 매수/레버리지 라벨의 위치를 선택할 수 있습니다.
바 아래 (Below Bar)
바 위 (Above Bar)
실제 가격 위치 (At Price)
이를 통해 개인 취향 및 차트 가독성에 맞추어
시각화 방식을 유연하게 조정할 수 있습니다.
7. 활용 대상 및 사용 예시
본 전략은 다음과 같은 목적에 적합합니다.
현물 또는 선물 롱 포지션 기준 장기·스윙 관점 추매 전략 백테스트
“고점 대비 하락률”을 기준으로 한 규칙 기반 운용 아이디어 검증
레버리지 사용 시
계좌 레버리지·청산가·MDD를 동시에 모니터링하고자 하는 경우
특정 자산에 대해
“새로운 고점이 형성될 때마다
일정한 규칙으로 깊은 조정 구간에서만 분할 진입하고자 할 때”
실거래에 그대로 적용하기보다는,
전략 아이디어 검증 및 리스크 프로파일 분석,
자신의 성향에 맞는 파라미터 탐색 용도로 사용하는 것을 권장합니다.
8. 한계 및 유의사항
백테스트 결과는 미래 성과를 보장하지 않습니다.
과거 데이터에 기반한 시뮬레이션일 뿐이며,
실제 시장에서는
유동성
슬리피지
수수료 체계
강제청산 규칙
등 다양한 변수가 존재합니다.
청산가는 단순화된 공식에 따른 추정치입니다.
거래소별 실제 청산 규칙, 유지 증거금, 수수료, 펀딩비 등은
본 전략의 계산과 다를 수 있으며,
청산가 추정 라인은 참고용 지표일 뿐입니다.
레버리지 및 진입 비율 설정에 따라 손실 폭이 매우 커질 수 있습니다.
특히 **“첫 포지션 300% 진입”**과 같이 매우 공격적인 설정은
시장 급락 시 계좌 손실과 청산 리스크를 크게 증가시킬 수 있으므로
신중한 검토가 필요합니다.
실거래 연동 시에는 별도의 리스크 관리가 필수입니다.
개별 손절 기준
포지션 상한선
전체 포트폴리오 내 비중 관리 등
본 전략 외부에서 추가적인 안전장치가 필요합니다.
9. 결론
ATH Drawdown Re-Buy Long Only 전략은 단순한 “저가 매수”를 넘어서,
ATH 기준으로 드로우다운을 구조적으로 활용하고,
첫 포지션에 대한 **특수 규칙(100% / 300%)**을 적용하며,
레버리지·청산가·MDD·수익률을 통합적으로 시각화함으로써,
하락 구간에서의 규칙 기반 롱 포지션 구축과
리스크 모니터링을 동시에 지원하는 전략입니다.
사용자는 본 전략을 통해:
자신의 시장 관점과 리스크 허용 범위에 맞는
드로우다운 구간
진입 비율
레버리지 설정
다양한 시나리오에 대한 백테스트와 분석
을 수행할 수 있습니다.
다시 한 번 강조하지만,
본 전략은 연구·학습·백테스트를 위한 도구이며,
실제 투자 판단과 책임은 전적으로 사용자 본인에게 있습니다.
/ENG Version.
This script is designed to use historical drawdown data and automatically enter positions when a predefined percentage drop from the all-time high occurs, using a predefined percentage of your account equity.
You can use leverage, and default parameter values are provided out of the box (you can freely change them to suit your style).
In addition to the two main entry levels, you can add more entry conditions and custom entry percentages – just ask ChatGPT to modify the script.
For actual/live usage, please turn OFF the KillSwitch function and turn ON the Bar Magnifier feature.
ATH Drawdown Re-Buy Long Only Strategy
1. Strategy Overview
The ATH Drawdown Re-Buy Long Only strategy is an automatic re-buy (Long Only) system that builds long positions step-by-step at specific drawdown levels, based on the asset’s all-time high (ATH) and its subsequent drawdown.
This strategy is designed with the following goals:
Systematic scaled buying and leverage usage during sharp correction periods
Clear, rule-based entry logic using drawdowns from ATH
Real-time visualization of:
Average entry price
Leverage
Estimated liquidation price
Account MDD (Max Drawdown)
Return / performance
This allows traders to intuitively monitor both risk and position status.
※ This strategy is provided for educational, research, and backtesting purposes only.
It does not constitute investment advice and does not guarantee any profits.
2. Core Concepts
2-1. Drawdown from ATH (All-Time High)
On the chart, the strategy always tracks the highest high as the ATH.
Whenever a new high is made, ATH is updated, and based on that ATH the following are calculated:
How many percent the current bar’s Low is below the ATH
How many percent the current bar’s Close is below the ATH
Using these, the strategy executes buys at two predefined drawdown zones:
1st entry zone: When price drops X% from ATH
2nd entry zone: When price drops Y% from ATH
Each zone is allowed to trigger only once per ATH cycle.
When a new ATH is created, the “1st / 2nd entry possible” flags are reset, and new opportunities open up for that ATH leg.
2-2. Special Rule for the First Position (100% / 300%)
A key feature of this strategy is the special rule for the very first position.
When the strategy currently holds no position and is about to open the first long position:
Under normal conditions, it builds the position using 100% of account equity.
However, if at that moment the price has dropped by at least a predefined threshold from ATH (e.g. around –72.5% or more),
→ the strategy will open the first position using 300% of account equity.
This rule works as follows:
Whether the first entry happens at the 1st drawdown zone or at the 2nd drawdown zone,
If the current drawdown from ATH is at or below the threshold (e.g. –72.5% or worse),
→ the strategy interprets this as “a sufficiently deep crash” and opens the initial position with 300% of equity.
If the drawdown is less severe than the threshold,
→ the first entry is capped at 100% of equity.
So the strategy has two modes for the first entry:
Normal market conditions: 100% of equity
Deep drawdown conditions: 300% of equity
This special rule is intended to be aggressive in extremely deep crashes while staying more conservative in normal corrections.
3. Strategy Logic & Execution
3-1. Entry Conditions
The strategy tracks the ATH using the High price.
For each bar, it calculates the drawdown from ATH.
The user defines two drawdown zones, for example:
1st zone: ATH – 50%
2nd zone: ATH – 72.5%
For each zone, the strategy checks:
If no buy has been executed yet for that zone in the current ATH leg, and
If the current bar’s Low touches or falls below that zone’s price level,
→ That bar is considered to have triggered a buy condition.
Order simulation:
The strategy simulates entering a long position at that zone’s price level
(using a limit/market-like approximation for backtesting).
3-2. ATH Reset & Entry Opportunity Reset
When a new High goes above the previous ATH:
The ATH is updated to this new high.
Internal flags that track whether the 1st and 2nd entries have been used are reset.
This means:
Each time the market makes a new ATH,
The strategy once again has a fresh opportunity to execute 1st and 2nd drawdown entries for that new ATH leg.
4. Position Sizing & Leverage
4-1. Position Size Based on Account Equity
The strategy defines current equity as:
Current Equity = Initial Capital + Realized PnL + Unrealized PnL
For each entry zone, the position value is calculated as follows:
The user inputs:
“What % of equity to use at this zone”
The strategy:
Multiplies current equity by that percentage
Then multiplies by the strategy’s leverage factor
Thus:
Position Value = Current Equity × (Zone % / 100) × Leverage
Finally, this position value is divided by the entry price to determine the actual position size in tokens.
4-2. Exception for the First Position (100% / 300%)
For the very first position (when there is no open position),
the strategy does not use the zone % parameters. Instead, it uses fixed ratios:
Default: Enter the first position with 100% of equity.
If the drawdown from ATH at that moment is greater than or equal to a predefined threshold (e.g. –72.5% or more)
→ Enter the first position with 300% of equity.
The position value is computed as:
Position Value = Current Equity × (100% or 300%) × Leverage
Then it is divided by the entry price to obtain the token quantity.
This rule:
Applies regardless of whether the first entry occurs at the 1st zone or 2nd zone.
Embeds the philosophy:
“In very deep crashes, go much larger on the first entry; otherwise, stay more conservative.”
4-3. Tracking Real Leverage
On each bar, the strategy tracks:
The existing position size at the start of the bar
The newly added size (if any) on that bar
When a new entry occurs, it calculates the real leverage at that moment:
Real Leverage = (Position Value / Current Equity)
This is then displayed on the chart as a label, for example:
Lev 2.53x
This makes it easy to see the actual leverage level at each entry point.
5. Visualization & Monitoring
5-1. On-Chart Visual Elements
The strategy plots the following directly on the chart:
ATH Line
The all-time high (based on High) is plotted as an orange line.
Average Entry Price Line
When a position is open, the average entry price of that position is plotted as a yellow line.
Estimated Liquidation Price (Fixed) Line
The strategy detects when the position size changes.
At each size change, it uses the current average entry price and real leverage to compute an approximate liquidation price.
This “fixed liquidation price” is then plotted as a red line on the chart.
If there is no position, or if leverage is 1x or lower, the liquidation line is removed.
Entry Markers & Labels
When 1st/2nd entry conditions are met, the strategy:
Marks the entry point on the chart.
Displays labels such as "Buy XX% @ Price" and "Lev XXx",
showing both entry percentage and real leverage at that time.
The label placement is configurable:
Below Bar
Above Bar
At Price
5-2. Information Table (Top-Right Panel)
In the top-right corner of the chart, the strategy displays a summary table of the current account and position status. It typically includes:
Pos Qty (Token)
Absolute size of the current position (in tokens)
Pos Value (USDT)
Market value of the current position (qty × current price)
Leverage (Now)
Current real leverage (position value / current equity)
DD from ATH (%)
Current drawdown (%) from the latest ATH, based on current price
Avg Entry
Average entry price of the current position
PnL (%)
Unrealized profit/loss (%) of the current position
Max DD (Equity %)
The maximum equity drawdown (MDD) recorded over the entire backtest period
Last Entry Price
Average entry price immediately after the most recent add-on entry
Last Entry Lev
Real leverage at the time of the most recent entry
Liq Price (Fixed)
The fixed estimated liquidation price described above
Return from Start (%)
Total return (%) of equity compared to the initial capital
Through this table, users can quickly grasp:
Current account and position status
Current risk level
Cumulative performance
6. Time Filters & Label Options
6-1. Strategy Date Range Filter
The strategy provides an option to restrict trading to a specific time range.
When “Use Date Range” is enabled:
You can specify start and end timestamps.
The strategy will only execute trades within that range.
When this option is disabled:
The strategy operates over the entire chart history.
6-2. Entry Label Placement
Users can customize where entry/leverage labels are drawn:
Below Bar (Below Bar)
Above Bar (Above Bar)
At the actual price level (At Price)
This allows you to adjust visualization according to personal preference and chart readability.
7. Use Cases & Applications
This strategy is suitable for the following purposes:
Long-term / swing-style re-buy strategies for spot or futures long positions
Testing rule-based strategies that rely on “drawdown from ATH” as a main signal
Monitoring account leverage, liquidation price, and MDD when using leverage
Handling situations where, for a given asset:
“Every time a new ATH is formed,
you want to wait for deep corrections and enter only at specific drawdown zones”
It is generally recommended to use this strategy not as a direct plug-and-play live system, but as a tool for:
Strategy idea validation
Risk profile analysis
Parameter exploration to match your personal risk tolerance and style
8. Limitations & Warnings
Backtest results do not guarantee future performance.
They are based on historical data only.
In live markets, additional factors exist:
Liquidity
Slippage
Fee structures
Exchange-specific liquidation rules
Funding fees, etc.
The liquidation price is only an approximate estimate, derived from a simplified formula.
Actual liquidation rules, maintenance margin requirements, fees, and other details differ by exchange.
The liquidation line should be treated as a reference indicator, not an exact guarantee.
Depending on the configured leverage and entry percentages, losses can be very large.
In particular, extremely aggressive settings such as “first position 300% of equity” can greatly increase the risk of large account drawdowns and liquidation during sharp market crashes.
Use such settings with extreme caution.
For live trading, additional risk management is essential:
Your own stop-loss rules
Maximum position size limits
Portfolio-level exposure controls
And other external safety mechanisms beyond this strategy
9. Conclusion
The ATH Drawdown Re-Buy Long Only strategy goes beyond simple “buy the dip” logic. It:
Systematically utilizes drawdowns from ATH as a structural signal
Applies a special first-position rule (100% / 300%)
Integrates visualization of leverage, liquidation price, MDD, and returns
All of this supports rule-based long position building in drawdown phases and comprehensive risk monitoring.
With this strategy, users can:
Explore different:
Drawdown zones
Entry percentages
Leverage levels
Run various backtests and scenario analyses
Better understand the risk/return profile that fits their own market view and risk tolerance
Once again, this strategy is intended for research, learning, and backtesting only.
All real trading decisions and their consequences are solely the responsibility of the user.
Hash Momentum IndicatorHash Momentum Indicator
Overview
The Hash Momentum Indicator provides real-time momentum-based trading signals with visual entry/exit markers and automatic risk management levels. This is the indicator version of the popular Hash Momentum Strategy, designed for traders who want signal alerts without backtesting functionality.
Perfect for: Live trading, automation via alerts, multi-indicator setups, and clean chart visualization.
What Makes This Indicator Special
1. Pure Momentum-Based Signals
Captures price acceleration in real-time - not lagging moving average crossovers. Enters when momentum exceeds a dynamic ATR-based threshold, catching moves as they begin accelerating.
2. Automatic Risk Management Visualization
Every signal automatically displays:
Entry level (white dashed line)
Stop loss level (red line)
Take profit target (green line)
Partial TP levels (dotted green lines)
3. Smart Trade Management
Trade Cooldown: Prevents overtrading by enforcing waiting period between signals
EMA Trend Filter: Only trades with the trend (optional)
Session Filters: Trade only during Tokyo/London/New York sessions (optional)
Weekend Toggle: Avoid low-liquidity weekend periods (optional)
4. Clean Visual Design
🟢 Tiny green dot = Long entry signal
🔴 Tiny red dot = Short entry signal
🔵 Blue X = Long exit
🟠 Orange X = Short exit
No cluttered labels or dashboard - just clean signals
5. Professional Alerts Ready
Set up TradingView alerts for:
Long signals
Short signals
Long exits
Short exits
How It Works
Step 1: Calculate Momentum
Momentum = Current Price - Price
Normalized by standard deviation for consistency
Must exceed ATR × Threshold to trigger
Step 2: Confirm Acceleration
Momentum must be increasing (positive momentum change)
Price must be moving in signal direction
Step 3: Apply Filters
EMA Filter: Long only above EMA, short only below EMA (if enabled)
Session Filter: Check if in allowed trading session (if enabled)
Weekend Filter: Block signals on Sat/Sun (if enabled)
Cooldown: Ensure minimum bars passed since last signal
Step 4: Generate Signal
All conditions met = Entry signal fires
Lines automatically drawn for entry, stop, and targets
Step 5: Exit Detection
Opposite momentum detected = Exit signal
Stop loss or take profit hit = Exit signal
Lines removed from chart
⚙️ Settings Guide
Core Strategy
Momentum Length (Default: 13)
Number of bars for momentum calculation. Higher values = stronger signals but fewer trades.
Aggressive: 10
Balanced: 13
Conservative: 18-24
Momentum Threshold (Default: 2.25)
ATR multiplier for signal generation. Higher values = only trade the biggest momentum moves.
Aggressive: 2.0
Balanced: 2.25
Conservative: 2.5-3.0
Risk:Reward Ratio (Default: 2.5)
Your target profit as a multiple of your risk. With 2.2% stop and 2.5 R:R, your target is 5.5% profit.
Conservative: 3.0+ (need 25% win rate to profit)
Balanced: 2.5 (need 29% win rate to profit)
Aggressive: 2.0 (need 33% win rate to profit)
Advanced Time Dividers & Killzones IndicatorOverview
A comprehensive Pine Script v6 indicator that displays customizable time period dividers and trading session killzones on your chart. Perfect for intraday traders who need clear visual separation of time periods and want to identify key trading sessions.
✨ Features
Time Period Dividers
Weekly Lines: Vertical lines marking the start of each week
Monthly Lines: Vertical lines marking the start of each month
Quarterly Lines: Vertical lines marking the start of each quarter (Q1, Q2, Q3, Q4)
Yearly Lines: Vertical lines marking the start of each year
Trading Session Killzones
London Session: 2:00-5:00 GMT (Blue shaded box)
New York Session: 7:00-10:00 GMT (Green shaded box)
London Close: 10:00-12:00 GMT (Orange shaded box)
Asia Session: 20:00-00:00 GMT (Pink shaded box)
🎨 Customization Options
Display Controls
Toggle each time divider type individually
Toggle each killzone individually
Adjust historical and future display range
Show/hide labels on dividers and killzones
Style Customization
Line Styles: Choose between Solid, Dashed, or Dotted lines
Line Width: Adjustable from 1 to 5 pixels
Colors: Fully customizable colors for each element with transparency control
Label Size: Choose from Tiny, Small, Normal, or Large
Period Settings
Control how many bars to display in the past (0-5000)
Control how many bars to display in the future (0-1000)
📋 Usage Instructions
Add to Chart: Add the indicator to any chart
Select Timeframe: Works best on intraday timeframes (1H, 15min, 5min) for killzones
Customize: Open settings to enable/disable features and customize colors
Trading: Use the dividers to identify time periods and killzones to spot high-liquidity sessions
💡 Trading Applications
Time Dividers
Weekly/Monthly Analysis: Identify major time period transitions
Market Structure: Analyze how price behaves at period boundaries
Event Correlation: Align with economic calendar events
Killzones
High Liquidity Periods: Trade during peak market activity
ICT Strategy: Follows Inner Circle Trader killzone concepts
Session-Based Trading: Focus on specific trading sessions
Volatility Windows: Identify when major moves typically occur
⚙️ Technical Details
Version: Pine Script v6
Type: Overlay indicator
Max Lines: 500 (optimized performance)
Max Boxes: 500 (for killzone visualization)
Timezone: GMT/UTC for killzones
Memory Efficient: Automatic cleanup of old objects
🎯 Best Practices
Combine with Price Action: Use dividers to frame your analysis
Focus on Killzones: Most significant price moves occur during these sessions
Adjust Transparency: Find the right balance between visibility and chart clarity
Use Labels Wisely: Toggle labels on/off based on your needs
Timeframe Selection: Use lower timeframes (≤1H) to see killzones clearly
📝 Notes
Killzone times are in GMT/UTC timezone
Works on all instruments (Forex, Crypto, Stocks, Futures)
Optimized for performance with automatic memory management
Fully compatible with other indicators
🔄 Updates & Support
This indicator is actively maintained. Feel free to suggest improvements or report issues in the comments.
Donchian Predictive Channel (Zeiierman)█ Overview
Donchian Predictive Channel (Zeiierman) extends the classic Donchian framework into a predictive structure. It does not just track where the range has been; it projects where the Donchian mid, high, and low boundaries are statistically likely to move based on recent directional bias and volatility regime.
By quantifying the linear drift of the Donchian midline and the expansion or compression rate of the Donchian range, the indicator generates a forward propagation cone that reflects the prevailing trend and volatility state. This produces a cleaner, more analytically grounded projection of future price corridors, and it remains fully aligned with the signal precision of the underlying Donchian logic.
█ How It Works
⚪ Donchian Core
The script first computes a standard Donchian Channel over a configurable Length:
Upper Band (dcHi) – highest high over the lookback.
Lower Band (dcLo) – lowest low over the lookback.
Midline (dcMd) – simple midpoint of upper and lower: (dcHi + dcLo)/ 2.
f_getDonchian(length) =>
hi = ta.highest(high, length)
lo = ta.lowest(low, length)
md = (hi + lo) * 0.5
= f_getDonchian(lenDC)
⚪ Slope Estimation & Range Dynamics
To turn the Donchian Channel into a predictive model, the script measures how both the midline and the range are changing over time:
Midline Slope (mSl) – derived from a 1-bar difference in linear regression of the midline.
Range Slope (rSl) – derived from a 1-bar difference in linear regression of the Donchian range (dcHi − dcLo).
This pair describes both directional drift (uptrend vs. downtrend) and range expansion/compression (volatility regime).
f_getSlopes(midLine, rngVal, length) =>
mSl = ta.linreg(midLine, length, 0) - ta.linreg(midLine, length, 1)
rSl = ta.linreg(rngVal, length, 0) - ta.linreg(rngVal, length, 1)
⚪ Forward Projection Engine
At the last bar, the indicator constructs a set of forward points for the mid, upper, and lower projections over Forecast Bars:
The midline is projected linearly using the midline slope per bar.
The range is adjusted using the range slope per bar, creating either a widening cone (expansion) or a tightening cone (compression).
Upper and lower projections are then anchored around the projected midline, with logic that keeps the structure consistent and prevents pathological flips when slope changes sign.
f_generatePoints(hi0, md0, lo0, steps, midSlp, rngSlp) =>
upPts = array.new()
mdPts = array.new()
dnPts = array.new()
fillPts = array.new()
hi_vals = array.new_float()
md_vals = array.new_float()
lo_vals = array.new_float()
curHiLocal = hi0
curLoLocal = lo0
curMidLocal = md0
segBars = math.floor(steps / 3)
segBars := segBars < 1 ? 1 : segBars
for b = 0 to steps
mdProj = md0 + midSlp * b
prevRange = curHiLocal - curLoLocal
rngProj = prevRange + rngSlp * b
hiTemp = 0.0
loTemp = 0.0
if midSlp >= 0
hiTemp := math.max(curHiLocal, mdProj + rngProj * 0.5)
loTemp := math.max(curLoLocal, mdProj - rngProj * 0.5)
else
hiTemp := math.min(curHiLocal, mdProj + rngProj * 0.5)
loTemp := math.min(curLoLocal, mdProj - rngProj * 0.5)
hiProj = hiTemp < mdProj ? curHiLocal : hiTemp
loProj = loTemp > mdProj ? curLoLocal : loTemp
if b % segBars == 0
curHiLocal := hiProj
curLoLocal := loProj
curMidLocal := mdProj
array.push(hi_vals, curHiLocal)
array.push(md_vals, curMidLocal)
array.push(lo_vals, curLoLocal)
array.push(upPts, chart.point.from_index(bar_index + b, curHiLocal))
array.push(mdPts, chart.point.from_index(bar_index + b, curMidLocal))
array.push(dnPts, chart.point.from_index(bar_index + b, curLoLocal))
ptSet.new(upPts, mdPts, dnPts)
⚪ Rejection Signals
The script also tracks failed Donchian breakouts and marks them as potential reversal/reversion cues:
Signal Down: Triggered when price makes an attempt above the upper Donchian band but then pulls back inside and closes above the midline, provided enough bars have passed since the last signal.
Signal Up: Triggered when price makes an attempt below the lower Donchian band but then snaps back inside and closes below the midline, also requiring sufficient spacing from the previous signal.
// Base signal conditions (unfiltered)
bearCond = high < dcHi and high >= dcHi and close > dcMd and bar_index - lastMarker >= lenDC
bullCond = low > dcLo and low <= dcLo and close < dcMd and bar_index - lastMarker >= lenDC
// Apply MA filter if enabled
if signalfilter
bearCond := bearCond and close < ma // Bearish only below MA
bullCond := bullCond and close > ma // Bullish only above MA
signalUp := false
signalDn := false
if bearCond
lastMarker := bar_index
signalDn := true
if bullCond
lastMarker := bar_index
signalUp := true
█ How to Use
The Donchian Predictive Channel is designed to outline possible future price trajectories. Treat it as a directional guide, not a fixed prediction tool.
⚪ Map Future Support & Resistance
Use the projected upper and lower paths as dynamic future reference levels:
Projected upper band ≈ is likely a resistance corridor if the current trend and volatility persist.
Projected lower band ≈ likely support corridor or expected downside range.
⚪ Trend Path & Volatility Cone
Because the projection is driven by midline and range slopes, the channel behaves like a trend + volatility cone:
Steep positive midline slope + expanding range → accelerating, high-volatility trend.
Flat midline + compressing range → coiling/contracting regime ahead of potential expansion.
This helps you distinguish between a gentle drift and an aggressive move that likely needs more risk buffer.
⚪ Reversion & Rejection Signals
The Donchian-based signals are especially useful for mean-reversion and fade-style trades.
A Signal Down near the upper band can mark a failed breakout and a potential rotation back toward the midline or the lower projected band.
A Signal Up near the lower band can flag a failed breakdown and a potential snap-back up the channel.
When Filter Signals is enabled, these signals are only generated when they align with the chart’s directional bias as defined by the moving average. Bullish signals are allowed only when the price is above the MA, and bearish signals only when the price is below it.
This reduces noise and helps ensure that reversions occur in harmony with the prevailing trend environment.
█ Settings
Length – Donchian lookback length. Higher values produce a smoother channel with fewer but more stable signals. Lower values make the channel more reactive and increase sensitivity at the cost of more noise.
Forecast Bars – Number of bars used for projecting the Donchian channel forward.
Higher values create a broader, longer-term projection. Lower values focus on short-horizon price path scenarios.
Filter Signals – Enables directional filtering of Donchian signals using the selected moving average. When ON, bullish signals only trigger when the price is above the MA, and bearish signals only trigger when the price is below it. This helps reduce noise and aligns reversions with the broader trend context.
Moving Average Type – The type of moving average used for signal filtering and optional plotting.
Choose between SMA, EMA, WMA, or HMA depending on desired responsiveness. Faster averages (EMA, HMA) react quickly, while slower ones (SMA, WMA) smooth out short-term noise.
Moving Average Length – Lookback length of the moving average. Higher values create a slower, more stable trend filter. Lower values track price more tightly and can flip the directional bias more frequently.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
920 Order Flow SATY ATR//@version=6
indicator("Order-Flow / Volume Signals (No L2)", overlay=true)
//======================
// Inputs
//======================
rvolLen = input.int(20, "Relative Volume Lookback", minval=5)
rvolMin = input.float(1.1, "Min Relative Volume (× avg)", step=0.1)
wrbLen = input.int(20, "Wide-Range Lookback", minval=5)
wrbMult = input.float(1, "Wide-Range Multiplier", step=0.1)
upperCloseQ = input.float(0.60, "Close near High (0-1)", minval=0.0, maxval=1.0)
lowerCloseQ = input.float(0.40, "Close near Low (0-1)", minval=0.0, maxval=1.0)
cdLen = input.int(25, "Rolling CumDelta Window", minval=5)
useVWAP = input.bool(true, "Use VWAP Bias Filter")
showSignals = input.bool(true, "Show Long/Short OF Triangles")
//======================
// Core helpers
//======================
rng = high - low
tr = ta.tr(true)
avgTR = ta.sma(tr, wrbLen)
wrb = rng > wrbMult * avgTR
// Relative Volume
volAvg = ta.sma(volume, rvolLen)
rvol = volAvg > 0 ? volume / volAvg : 0.0
// Close location in bar (0..1)
clo = rng > 0 ? (close - low) / rng : 0.5
// VWAP (session) + SMAs
vwap = ta.vwap(close)
sma9 = ta.sma(close, 9)
sma20 = ta.sma(close, 20)
sma200= ta.sma(close, 200)
// CumDelta proxy (uptick/downtick signed volume)
tickSign = close > close ? 1.0 : close < close ? -1.0 : 0.0
delta = volume * tickSign
cumDelta = ta.cum(delta)
rollCD = cumDelta - cumDelta
//======================
// Signal conditions
//======================
volActive = rvol >= rvolMin
effortBuy = wrb and clo >= upperCloseQ
effortSell = wrb and clo <= lowerCloseQ
cdUp = ta.crossover(rollCD, 0)
cdDown = ta.crossunder(rollCD, 0)
biasBuy = not useVWAP or close > vwap
biasSell = not useVWAP or close < vwap
longOF = barstate.isconfirmed and volActive and effortBuy and cdUp and biasBuy
shortOF = barstate.isconfirmed and volActive and effortSell and cdDown and biasSell
//======================
// Plot ONLY on price chart
//======================
// SMAs & VWAP
plot(sma9, title="9 SMA", color=color.orange, linewidth=3)
plot(sma20, title="20 SMA", color=color.white, linewidth=3)
plot(sma200, title="200 SMA", color=color.black, linewidth=3)
plot(vwap, title="VWAP", color=color.new(color.aqua, 0), linewidth=3)
// Triangles with const text (no extra pane)
plotshape(showSignals and longOF, title="LONG OF",
style=shape.triangleup, location=location.belowbar, size=size.tiny,
color=color.new(color.green, 0), text="LONG OF")
plotshape(showSignals and shortOF, title="SHORT OF",
style=shape.triangledown, location=location.abovebar, size=size.tiny,
color=color.new(color.red, 0), text="SHORT OF")
// Alerts
alertcondition(longOF, title="LONG OF confirmed", message="LONG OF confirmed")
alertcondition(shortOF, title="SHORT OF confirmed", message="SHORT OF confirmed")
//────────────────────────────
// End-of-line labels (offset to the right)
//────────────────────────────
var label label9 = na
var label label20 = na
var label label200 = na
var label labelVW = na
if barstate.islast
// delete old labels before drawing new ones
label.delete(label9)
label.delete(label20)
label.delete(label200)
label.delete(labelVW)
// how far to move the labels rightward (increase if needed)
offsetBars = input.int(3)
label9 := label.new(bar_index + offsetBars, sma9, "9 SMA", style=label.style_label_left, textcolor=color.white, color=color.new(color.orange, 0))
label20 := label.new(bar_index + offsetBars, sma20, "20 SMA", style=label.style_label_left, textcolor=color.black, color=color.new(color.white, 0))
label200 := label.new(bar_index + offsetBars, sma200, "200 SMA", style=label.style_label_left, textcolor=color.white, color=color.new(color.black, 0))
labelVW := label.new(bar_index + offsetBars, vwap, "VWAP", style=label.style_label_left, textcolor=color.black, color=color.new(color.aqua, 0))
//────────────────────────────────────────────────────────────────────
//────────────────────────────────────────────
// Overnight High/Low + HOD/LOD (no POC)
//────────────────────────────────────────────
sessionRTH = input.session("0930-1600", "RTH Session (exchange tz)")
levelWidth = input.int(2, "HL line width", minval=1, maxval=5)
labelOffsetH = input.int(10, "HL label offset (bars to right)", minval=0)
isRTH = not na(time(timeframe.period, sessionRTH))
rthOpen = isRTH and not isRTH
// --- Track Overnight High/Low during NON-RTH; freeze at RTH open
// --- Track Overnight High/Low during NON-RTH; freeze at RTH open
var float onHigh = na
var float onLow = na
var int onHighBar = na
var int onLowBar = na
var float onHighFix = na
var float onLowFix = na
var int onHighFixBar = na
var int onLowFixBar = na
if not isRTH
if na(onHigh) or high > onHigh
onHigh := high
onHighBar := bar_index
if na(onLow) or low < onLow
onLow := low
onLowBar := bar_index
if rthOpen
onHighFix := onHigh
onLowFix := onLow
onHighFixBar := onHighBar
onLowFixBar := onLowBar
onHigh := na, onLow := na
onHighBar := na, onLowBar := na
// ──────────────────────────────────────────
// Candle coloring + labels for 9/20/VWAP crosses
// ──────────────────────────────────────────
showCrossLabels = input.bool(true, "Show cross labels")
// Helpers
minAll = math.min(math.min(sma9, sma20), vwap)
maxAll = math.max(math.max(sma9, sma20), vwap)
// All three lines
goldenAll = open <= minAll and close >= maxAll
deathAll = open >= maxAll and close <= minAll
// 9/20 only (exclude cases that also crossed VWAP)
dcUpOnly = open <= math.min(sma9, sma20) and close >= math.max(sma9, sma20) and not goldenAll
dcDownOnly = open >= math.max(sma9, sma20) and close <= math.min(sma9, sma20) and not deathAll
// Candle colors (priority: all three > 9/20 only)
var color cCol = na
cCol := goldenAll ? color.yellow : deathAll ? color.black :dcUpOnly ? color.lime :dcDownOnly ? color.red : na
barcolor(cCol)
// Labels
plotshape(showCrossLabels and barstate.isconfirmed and goldenAll, title="GOLDEN CROSS",
style=shape.labelup, location=location.belowbar, text="GOLDEN CROSS",
color=color.new(color.yellow, 0), textcolor=color.black, size=size.tiny)
plotshape(showCrossLabels and barstate.isconfirmed and deathAll, title="DEATH CROSS",
style=shape.labeldown, location=location.abovebar, text="DEATH CROSS",
color=color.new(color.black, 0), textcolor=color.white, size=size.tiny)
plotshape(showCrossLabels and barstate.isconfirmed and dcUpOnly, title="DC UP",
style=shape.labelup, location=location.belowbar, text="DC UP",
color=color.new(color.lime, 0), textcolor=color.black, size=size.tiny)
plotshape(showCrossLabels and barstate.isconfirmed and dcDownOnly, title="DC DOWN",
style=shape.labeldown, location=location.abovebar, text="DC DOWN",
color=color.new(color.red, 0), textcolor=color.white, size=size.tiny)
// ──────────────────────────────────────────
// Audible + alert conditions
// ──────────────────────────────────────────
alertcondition(goldenAll, title="GOLDEN CROSS", message="GOLDEN CROSS detected")
alertcondition(deathAll, title="DEATH CROSS", message="DEATH CROSS detected")
alertcondition(dcUpOnly, title="DC UP", message="Dual Cross UP detected")
alertcondition(dcDownOnly,title="DC DOWN", message="Dual Cross DOWN detected")
15m ORB + FVG Strategy (ChadAnt)Core Logic
The indicator's logic revolves around three main phases:
1. Defining the 15-Minute Opening Range (ORB)
The script calculates the highest high (rangeHigh) and lowest low (rangeLow) that occurred during the first 15 minutes of the trading day.
This time window is defined by the sessionStr input, which defaults to 0930-0945 (exchange time).
The high and low of this range are plotted as small gray dots once the session ends (rangeSet = true).
2. Identifying a Fair Value Gap (FVG) Setup
After the 15-minute range is set, the indicator waits for a breakout of either the range high or range low.
A "Strict FVG breakout" requires two conditions on the first candle that closes beyond the range:
The candle before the breakout candle ( bars ago) must have been inside the range.
The breakout candle ( bar ago) must have closed outside the range.
A Fair Value Gap (FVG) must form on the most recent three candles (the current bar and the two previous bars).
Bullish FVG (Long Setup): The low of the current bar (low) is greater than the high of the bar two periods prior (high ). This FVG represents a price inefficiency that the trade expects to fill.
Bearish FVG (Short Setup): The high of the current bar (high) is less than the low of the bar two periods prior (low ).
If a valid FVG setup occurs, the indicator marks a pending setup and draws a colored box to highlight the FVG area (Green for Bullish FVG, Red for Bearish FVG).
3. Trade Entry and Management
If a pending setup is identified, the trade is structured as a re-entry trade into the FVG zone:
Entry Price: Set at the outer boundary of the FVG, which is the low of the current bar for a Long setup, or the high of the current bar for a Short setup.
Stop Loss (SL): Set at the opposite boundary of the FVG, which is the low for a Long setup, or the high for a Short setup.
The trade is triggered (tradeActive = true) once the price retraces to the pendingEntry level.
Risk/Reward (RR) Targets: Three Take Profit (TP) levels are calculated based on the distance between the Entry and Stop Loss:
$$\text{Risk} = | \text{Entry} - \text{SL} |$$
$$\text{TP}n = \text{Entry} \pm (\text{Risk} \times \text{RR}n)$$
where $n$ is 1, 2, or 3, corresponding to the input $\text{RR}1$, $\text{RR}2$, and $\text{RR}3$ values (defaults: 1.0, 1.5, and 2.0).
Trade Lines: Upon triggering, lines for the Entry, Stop Loss, and three Take Profit levels are drawn on the chart for a specified length (lineLength).
A crucial feature is the directional lock (highBroken / lowBroken):
If the price breaks a range level (e.g., simpleBrokeHigh) but without a valid FVG setup, the corresponding directional flag (e.g., highBroken) is set to true permanently for the day.
This prevents the indicator from looking for any subsequent trade setups in that direction for the rest of the day, suggesting that the initial move, without an FVG, exhausted the opportunity.
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
ChadAnt
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied
Micha Stokes Buyers Breakout Alert v2Buyer Breakout Rules (Word Definition)
The alert is triggered when ALL conditions in Section 1 and Section 3 are met, AND one of the two Scenarios in Section 2 is met.
1. The Setup and Breakout (The Initial Requirement)
Price Action: The closing price of the current candle must break above the highest resistance level established during the recent period of flat trading (the setup).
2. The Confirmation (Scenario A OR Scenario B)
The breakout must be accompanied by evidence of buying strength:
Scenario A: High-Conviction Breakout (Immediate Demand)
The current candle is GREEN (it closed higher than it opened).
AND the volume is HIGHER than the volume of the previous candle.
Scenario B: Seller-Exhaustion Breakout (Micha Stokes' Unique Signal)
The current candle is GREEN (it closed higher than it opened).
AND the volume is LOWER than the volume of the previous candle. (This means the price rose without much seller resistance.)
3. The Strength Filter (Conviction Check)
The candle must close near its high, showing that buyers maintained control and didn't face significant selling pressure immediately after the breakout.
Understand Daily ATR & SDTR Context on SPXWHY
Every trader needs clarity.
Markets move quickly, volatility shifts without warning, and daily price action often feels chaotic unless you understand the context behind it.
When you know where you are inside the day’s expected range and volatility environment, decision-making becomes more objective, disciplined, and confident.
That’s the purpose of this tool:
to give traders a clearer sense of intraday reality so they can act with intention instead of impulse.
________________________________________
HOW
It does this by anchoring each session to a set of objective, volatility-based reference points:
• Daily ATR projections that outline the day’s typical movement range
• A standardized deviation envelope (SDTR) that highlights areas of expansion or exhaustion
• RTH-aligned resets, so the levels refresh cleanly at the start of each session
These elements work together to form a steady, unbiased framework around each trading day.
________________________________________
WHAT
The result is a daily ATR + SDTR context overlay, now available free on TradingView.
It provides:
• Expected daily high/low zones based on smoothed ATR
• A volatility shell around the prior close
• Daily context levels that reset automatically at each RTH open
• A clean, unobtrusive visual guide for interpreting intraday price behavior
It works on any intraday timeframe and integrates seamlessly with your existing workflow — structure, VWAP, volume analysis, price action, Fibonacci levels, or your preferred set of signals.
This isn’t a trading system.
It’s a lens — designed to help traders see the day more clearly.
15m ORB + FVG (ChadAnt)Core Logic
The indicator's logic revolves around three main phases:
1. Defining the 15-Minute Opening Range (ORB)
The script calculates the highest high (rangeHigh) and lowest low (rangeLow) that occurred during the first 15 minutes of the trading day.
This time window is defined by the sessionStr input, which defaults to 0930-0945 (exchange time).
The high and low of this range are plotted as small gray dots once the session ends (rangeSet = true).
2. Identifying a Fair Value Gap (FVG) Setup
After the 15-minute range is set, the indicator waits for a breakout of either the range high or range low.
A "Strict FVG breakout" requires two conditions on the first candle that closes beyond the range:
The candle before the breakout candle ( bars ago) must have been inside the range.
The breakout candle ( bar ago) must have closed outside the range.
A Fair Value Gap (FVG) must form on the most recent three candles (the current bar and the two previous bars).
Bullish FVG (Long Setup): The low of the current bar (low) is greater than the high of the bar two periods prior (high ). This FVG represents a price inefficiency that the trade expects to fill.
Bearish FVG (Short Setup): The high of the current bar (high) is less than the low of the bar two periods prior (low ).
If a valid FVG setup occurs, the indicator marks a pending setup and draws a colored box to highlight the FVG area (Green for Bullish FVG, Red for Bearish FVG).
3. Trade Entry and Management
If a pending setup is identified, the trade is structured as a re-entry trade into the FVG zone:
Entry Price: Set at the outer boundary of the FVG, which is the low of the current bar for a Long setup, or the high of the current bar for a Short setup.
Stop Loss (SL): Set at the opposite boundary of the FVG, which is the low for a Long setup, or the high for a Short setup.
The trade is triggered (tradeActive = true) once the price retraces to the pendingEntry level.
Risk/Reward (RR) Targets: Three Take Profit (TP) levels are calculated based on the distance between the Entry and Stop Loss:
$$\text{Risk} = | \text{Entry} - \text{SL} |$$
$$\text{TP}n = \text{Entry} \pm (\text{Risk} \times \text{RR}n)$$
where $n$ is 1, 2, or 3, corresponding to the input $\text{RR}1$, $\text{RR}2$, and $\text{RR}3$ values (defaults: 1.0, 1.5, and 2.0).
Trade Lines: Upon triggering, lines for the Entry, Stop Loss, and three Take Profit levels are drawn on the chart for a specified length (lineLength).
A crucial feature is the directional lock (highBroken / lowBroken):
If the price breaks a range level (e.g., simpleBrokeHigh) but without a valid FVG setup, the corresponding directional flag (e.g., highBroken) is set to true permanently for the day.
This prevents the indicator from looking for any subsequent trade setups in that direction for the rest of the day, suggesting that the initial move, without an FVG, exhausted the opportunity.
ITC Market Structure ProWith this tool you can see market structure, set session, daylow, dayhigh, multiple moving avg., fvg...
Every feature can by witched off or on to have more clarity watching price action - and everything is in one indicator, so you don't need to have stack off them!
Detailed description will try to provide later...
PS Thanks for LuxAlgo - I have use some of their fine work to combine all-in-one! Hoping it's not against the rules - if so, I will remove my tool.
PS Everything is rewritten to pine6
