Two Bar Break Line Alerts R1.0 by JustUncleLThis indicator with default settings is designed for BINARY OPTIONS trading. The indicator can also be used for Forex trading with some setting changes. The script shows Two Bar Pullback Break lines and alerts when those Break lines are Touched (broken) creating a short term momentum entry condition.
For a Bullish Break (Green Up Arrow) to occur: first must have two (or three) consecutive bear (red) candles which is followed by a bull (green) candle creating a pivot point. The breakout occurs then the High of the current Bull (green) exceeds the highest point of the previous two (or three) pivotal bear candles. The green channel Line shows where the current Bullish BreakOut occurs.
For a Bearish Break (Red Down Arrow) to occur: first must have two (or three) consecutive bull (green) candles which is followed by a bear (red) candle creating a pivot point. The breakout occurs when the Low of the current Bear (red) drops below the lowest point of the previous two (or three) pivotal Bull candles. The red channel Line shows where the current Bearish BreakOut occurs.
The break Line Arrows can optionally be filtered by the Coloured MA (enabled by default), a longer term directional MA (disabled by default) and/or a MACD condition (enabled by default) as a momentum filter.
You can optionally select three Bar break lines instead of two. The three bar break lines are actually equivalent to Guppy's Three Bar Count Back Line method for trade entries (see Guppy's video reference below).
Included in this indicator is an ability to display some basic Binary Option statistics, when enabled (enabled by default) it shows Successful Bars in Yellow and failed Bars in Black and the last Nine numbers on the script title line represent the Binary option Statistics in order:
%ITM rate
Total orders
Successful Orders
Failed Orders
Total candles tested
Candles per Day
Trades per Day
Max Consecutive Wins
Max Consecutive Losses
You can start the Binary Option statistics from a specific Date, which is handy for checking more recent history.
HINTS:
BINARY OPTIONS trading: use 5min, 15m, 1hr or even Daily charts. Trade after the price touches one of the Breakout lines and the Arrow first appears. Wait for the price to come back from Break Line by 1 or 2 pips, the alert arrow must stay on and candle change to black, then take Binary trade expiry End of Candle. If price pull back and arrow turns off, don't trade this candle, move on you probably don't have momentum, there will be plenty of other trigger events. The backtesting results are good with ITM rates 65% to 72% on many currency pairs, commodities and indices. Realtime trading has confirmed the backtesting results and they could even be bettered, provided you are selective on which signals to trade (strong MACD support etc), that you are patient and disciplined to this trading method.
FOREX trading: the default settings should work with scalping. For longer term trades try with settings change to a more standard MACD filter or slower to catch the longer term momentum swings and the idea would be to trade the first Break Line alert that occurs after a decent Pullback in the direction of the trend. Setting the SL to just above/below the Pivot High/Low and set target to two or three times SL.
References:
"Fundamentals of Price Action Trading for Forex, Stocks, Options and Futures" video:
www.youtube.com
Other videos by "basecamptrading" on Naked Trading.
"Taking Profits in Today's Market by Daryl Guppy" video:
www.youtube.com
Search in scripts for "backtesting"
Pivot Reversal Strategy - TimeFramedThis is Pivot Reversal Strategy including the time frames for backtesting.
Updated TurtlesThis script has been updated to prevent double orders (short/long) from occurring and modifying backtests results.
This is an update to the script that was written a few years ago to prevent double longs/shorts from occurring and skewin backtesting results. Check out the updated indicator here and let me know what you think.
I also added:
- date range inputs if you want to do some backtesting on a particular set of dates.
- the ability to toggle shorting
3 Duck's Trading System from Babypips.comThe 3 Duck's Trading System from Babypips.com
The 3 Duck's Trading System is the most popular and active trading system thread on the the babypips.com forum. It is a system that is mainly for beginners because it teaches you discipline, learning to cope with price moving against your position and learning to stay in a trade and keep profits running. For the thread and more info on the 3 Duck's Trading System click here
How does it work?
The system is a very simple enter/exit based on the 60 SMA of 3 different time frames: 4 hour, 1 hour and 5 minute.
The Rules, er, the Ducks! The Ducks must all be in a row for a trade to take place!
Duck 1 - To go long, price must be above the 60 SMA on the 4 hour chart.
Duck 2 - To go long, price must be above the 60 SMA on the 1 hour chart.
Duck 3 - To go long, price must cross above the 60 SMA on the 5 minute chart and the 60 SMA of the 5 minute chart must be below that of the 4 hour and 1 hour chart. (obviously the reverse for shorting)
YOU MUST USE THIS SYSTEM ONLY ON THE 5 MINUTE CHART.
I say this because I have already charted all of the Ducks into the 5 minute chart so you don't have to flip back and forth.
I have also added some inputs for profit targets, stop targets, trailing stops and times to trade for backtesting.
If you have any questions or comments, please let me know! If you see I messed up on something, please let me know!
Also a VERY special thanks to the babypips.com user Captain_Currency . He wrote this strategy 10 years ago (2007 was 10 years ago?!) and he is still active on the thread and posting results and offering help!
Adam Smith - MovingAvg CrossSimple Moving Average Cross script. Test on stocks and currency. For stocks test shorter time periods, meaning intra-day time periods such as 3min to 30min and so on to fit what is best. For currency, try longer periods with this model such as day to weeks depending on which currency.
NOTE: Take a look at your Max Drawdowns when testing. This will be the main indicator once you figure out your time period for backtesting. This will also let you know how much money to save and/or hold back in savings for down periods.
Adding some essential components to a prebuilt RSI strategyThis is more to be used as a blank_slate for any strategy build adding more effective backtesting with a period selector and inputs like TS, TP, SL that can all be used as plots for alerts.
It has the BackTest Component created by Pbergden
It also includes the standard long/short with trailing stop, take profit, stop loss and margin call.
Here is a video using the blank_slate to add in the built-in RSI Strategy.
youtu.be
We hope this brings good results and helps speed things up for everyone.
Trend v4.0 Another updateYet another update, default settings can be customized to your needs. Be aware that while this is similar to the other versions, this can only repaint an active bar, but that slows it down by one period. You are warned. Be that as it may, the basic idea is the same; trying to capture the really strong moves into overbought or oversold territory as defined by Relative Strength index. In RSI mode, you can see the smoothing has slowed it down a bit, but warrants backtesting.
First green bar go long, First red bar go short, first white bar possible trend exhaustion. Or use crossovers and such, play with the inputs OB/OS, RSI length, signal length, tick length, swing length, as I said customize to your tastes. I offer no surety as to its efficacy, but we all learn.
Trade Responsibly,
Shiroki
CM Stochastic POP Method 2-Jake Bernstein_V1Yesterday Jake Bernstein authorized me to post his updated results with the Stochastic Pop Trading System he developed many years ago.
You can take a look at the Original System with Updated Settings at
This indicator is a different set of rules Jake mentioned in the PDF he allowed me to post.
To view the PDF use this link:
dl.dropboxusercontent.com
Today we’re releasing the version described in the PDF that uses the StochK values of 55, 50, and 45. The rules are discussed in the PDF but here is a simple breakdown:
Enter Long when StochK is below 50 and Crosses Above 55
Exit Long on Cross Below 55
Enter Short when StochK is Above 50 and crosses Below 45
Exit Short on Cross Above 45
Two Important Items to understand about this method:
To code the rules Precisely we need a function that will be available when Strategy Capabilities are released on TradingView.
There is one of Jakes Profit Maximizing Strategies that needs to be integrated with this code…which again we need the Strategy based Function that will be coming soon.
To Compare this system to the Stochastic Pop Method 1 System shown yesterday at I used the same Symbol and dates for you to compare…but remember to give this Method 2 System a Fair Look/Evaluation…we need the Soon To Be Released…TradingView Strategy Capabilities.
BackTesting Results Example: EUR-USD Daily Chart Since 01/01/2005
Strategy 1 – Stochastic Pop Method 2 System:
Go Long When Stochasticis below 50 and Crosses Above 55. Go Short When Stochastic is above 50 and Crosses Below 45. Exit Long/Short When Stochastic has a Reverse Cross of Entry Value.
Results:
Total Trades = 151
Profit = 40,758 Pips
Win% = 37.1%
Profit Factor = 1.26
Avg Trade = 270 Pips Profit
***Most Consecutive Wins = 4 ... Most Consecutive Losses = 7
Strategy 2:
Rules - Proprietary Optimization Jake Will Teach. Only Added 1 Additional Exit Rule.
Results:
Total Trades = 151
Profit = 60.305 Pips
Win% = 37.1%
Profit Factor = 1.38
Avg Trade = 399 Pips Profit
***Most Consecutive Wins = 4 ... Most Consecutive Losses = 7
Indicator Includes:
-Ability to Color Candles (CheckBox In Inputs Tab)
Green = Long Trade
Blue = No Trade
Red = Short Trade
Jake Bernstein will be a contributor on TradingView when Backtesting/Strategies are released. Jake is one of the Top Trading System Developers in the world with 45+ years experience and he is going to teach TradingView.com’s community how to create Trading Systems and how to Optimize the correct way.
Link To PDF:
dl.dropboxusercontent.com
Link to Original Version of Indicator with Updated Settings.
CM Stochastic POP Method 1 - Jake Bernstein_V1A good friend ucsgears recently published a Stochastic Pop Indicator designed by Jake Bernstein with a modified version he found.
I spoke to Jake this morning and asked if he had any updates to his Stochastic POP Trading Method. Attached is a PDF Jake published a while back (Please read for basic rules, which also Includes a New Method). I will release the Additional Method Tomorrow.
Jake asked me to share that he has Updated this Method Recently. Now across all symbols he has found the Stochastic Values of 60 and 30 to be the most profitable. NOTE - This can be Significantly Optimized for certain Symbols/Markets.
Jake Bernstein will be a contributor on TradingView when Backtesting/Strategies are released. Jake is one of the Top Trading System Developers in the world with 45+ years experience and he is going to teach how to create Trading Systems and how to Optimize the correct way.
Below are a few Strategy Results....Soon You Will Be Able To Find Results Like This Yourself on TradingView.com
BackTesting Results Example: EUR-USD Daily Chart Since 01/01/2005
Strategy 1:
Go Long When Stochastic Crosses Above 60. Go Short When Stochastic Crosses Below 30. Exit Long/Short When Stochastic has a Reverse Cross of Entry Value.
Results:
Total Trades = 164
Profit = 50, 126 Pips
Win% = 38.4%
Profit Factor = 1.35
Avg Trade = 306 Pips Profit
***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6
Strategy 2:
Rules - Proprietary Optimization Jake Will Teach. Only Added 1 Additional Exit Rule.
Results:
Total Trades = 164
Profit = 62, 876 Pips!!!
Win% = 38.4%
Profit Factor = 1.44
Avg Trade = 383 Pips Profit
***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6
Strategy 3:
Rules - Proprietary Optimization Jake Will Teach. Only added 1 Additional Exit Rule.
Results:
Winning Percent Increases to 72.6%!!! , Same Amount of Trades.
***Most Consecutive Wins = 21 ...Most Consecutive Losses = 4
Indicator Includes:
-Ability to Color Candles (CheckBox In Inputs Tab)
Green = Long Trade
Blue = No Trade
Red = Short Trade
-Color Coded Stochastic Line based on being Above/Below or In Between Entry Lines.
Link To Jakes PDF with Rules
dl.dropboxusercontent.com
Adaptive RSI Pro# Adaptive RSI Pro / 自适应RSI专业版
[! (img.shields.io)](www.tradingview.com)
[! (img.shields.io)](www.tradingview.com)
[! (img.shields.io)](opensource.org)
Dynamic overbought/oversold thresholds + Multi-Timeframe analysis + Divergence detection + Signal statistics.
根据每个标的实际历史分布动态计算超买/超卖阈值，结合多时间框架分析、背离检测和信号统计。
**Pine Script v6** | **Last Update: 2025-12-17** | **v6.2**
---
## Emoji Legend / 信号图例
### Chart Signals / 图表信号
#### Buy Signals / 买入信号 (底部显示)
| Emoji | Signal Name | Condition | Priority | Action |
|-------|-------------|-----------|----------|--------|
| 🌟 | MTF + Extreme | 3+ timeframes oversold + Z<−2σ | ★★★★★ | **STRONG BUY** 强力买入 |
| 💎 | Divergence + Extreme | Bullish divergence in Z<−2σ zone | ★★★★☆ | **BUY** 买入 |
| 🔥 | Extreme Oversold | Z-Score crosses below −2σ (≈P2) | ★★★☆☆ | **BUY** 买入 |
| ⬆️ | Normal Oversold | Z-Score crosses below −1.5σ (≈P7) | ★★☆☆☆ | Consider buy 考虑买入 (默认隐藏) |
| ↗️ | Bullish Divergence | Price↓ RSI↑ (not in extreme zone) | ★☆☆☆☆ | Watch 观察 (潜在底部) |
#### Sell Signals / 卖出信号 (顶部显示)
| Emoji | Signal Name | Condition | Priority | Action |
|-------|-------------|-----------|----------|--------|
| 🌟 | MTF + Extreme | 3+ timeframes overbought + Z>+2σ | ★★★★★ | **STRONG SELL** 强力卖出 |
| 💎 | Divergence + Extreme | Bearish divergence in Z>+2σ zone | ★★★★☆ | **SELL** 卖出 |
| ❄️ | Extreme Overbought | Z-Score crosses above +2σ (≈P98) | ★★★☆☆ | **SELL** 卖出 |
| ⬇️ | Normal Overbought | Z-Score crosses above +1.5σ (≈P93) | ★★☆☆☆ | Consider sell 考虑卖出 (默认隐藏) |
| ↘️ | Bearish Divergence | Price↑ RSI↓ (not in extreme zone) | ★☆☆☆☆ | Watch 观察 (潜在顶部) |
> **Priority System / 优先级系统**: Only the highest priority signal is shown to prevent overlapping.
> 只显示最高优先级信号，避免叠加。
---
### Dashboard Status / 仪表盘状态
| Emoji | Status | Meaning |
|-------|--------|---------|
| 🟢 | EXTREME OVERSOLD | Z-Score < −2σ (≈P2.3), strong buy zone / 极端超卖区，强买区 |
| 🟡 | OVERSOLD | Z-Score < −1.5σ (≈P6.7), oversold / 超卖 |
| ⚪ | NEUTRAL | −1.5σ ≤ Z-Score ≤ +1.5σ, no signal / 中性，无信号 |
| 🟠 | OVERBOUGHT | Z-Score > +1.5σ (≈P93.3), overbought / 超买 |
| 🔴 | EXTREME OVERBOUGHT | Z-Score > +2σ (≈P97.7), strong sell zone / 极端超买区，强卖区 |
### MTF Status / 多周期状态
| Emoji | Meaning |
|-------|---------|
| 🟢 | Timeframe oversold / 该周期超卖 |
| 🔴 | Timeframe overbought / 该周期超买 |
| ⚪ | Timeframe neutral / 该周期中性 |
### Divergence Status / 背离状态
| Emoji | Meaning |
|-------|---------|
| 🟢 BULL DIV | Bullish divergence detected / 检测到看涨背离 |
| 🔴 BEAR DIV | Bearish divergence detected / 检测到看跌背离 |
| — | No divergence / 无背离 |
---
### Alert Emojis / 警报图标
| Emoji | Alert Type | Description |
|-------|------------|-------------|
| 🎯 | Smart Alert | V6 Unified Alert System / V6统一警报系统 |
---
## Overview / 概述
Traditional RSI uses fixed 30/70 thresholds, but different assets have different volatility characteristics.
传统RSI使用固定的30/70阈值，但不同标的有不同的波动特性。
**Solution**: Calculate thresholds using historical percentiles (P5-P95) + advanced features.
**解决方案**：使用历史百分位（P5-P95）计算阈值 + 高级功能。
---
## Features / 功能特性
### 🎯 Adaptive Thresholds / 自适应阈值
- **Z-Score Based Signals**: Uses statistical Z-Score (±2σ for extreme, ±1.5σ for normal) for consistent cross-asset performance
使用统计Z-Score（极端±2σ，普通±1.5σ）实现跨资产一致性
- **Percentile Lines**: Display P5/P10/P25/P50/P75/P90/P95 for visual reference
百分位线（P5-P95）作为视觉参考
- **Dual Display Modes**: Show Z-Score lines, Percentile lines, or both
双重显示模式：可选择显示Z值线、百分位线或两者
### 🔬 Auto-Adaptive Lookback / 自动自适应回看期
- **Statistical Formula**: Uses `n = (Z × σ / E)²` for optimal sample size calculation
统计公式：使用样本量公式自动计算最优回看期
- **Dual Volatility System**: Combines short-term (4× RSI length) and long-term volatility (configurable: 6M/1Y/2Y)
双重波动率系统：结合短期和长期波动率动态调整
- **Precision Control**: Choose High/Normal/Low precision (adjusts acceptable error margin)
精度控制：高/普通/低精度可选（调整统计误差容忍度）
- **Health Indicators**: Real-time validation of sample coverage, distribution spread, and statistical validity
健康度指标：实时验证样本覆盖率、分布宽度和统计有效性
### 📈 Auto-Adaptive Trend Filter / 自动自适应趋势过滤
- **Auto Mode**: Automatically selects optimal filter based on RSI volatility percentiles
自动模式：根据RSI波动率百分位自动选择最优过滤器
- **5 Filter Modes**: Fixed 50, Adaptive P50, SMA(RSI), BB(RSI), or Auto
5种过滤模式：固定50、自适应P50、RSI均线、布林带或自动
- **Smart Selection**: Low volatility → Fixed 50, Medium → Adaptive P50, High → BB(RSI)
智能选择：低波动→固定50，中波动→自适应P50，高波动→布林带
### 🌍 Multi-Timeframe RSI / 多时间框架RSI
- **3 Configurable Timeframes**: View RSI status across multiple timeframes (default: 1h/4h/D)
3个可配置时间框架：跨周期查看RSI状态（默认：1小时/4小时/日线）
- **Auto-Skip Duplicates**: Automatically detects and skips timeframes matching current chart
自动跳过重复：自动检测并跳过与当前图表相同的时间框架
- **Resonance Detection**: Triggers when 3+ valid timeframes agree (oversold/overbought)
共振检测：当3个以上有效时间框架一致时触发强信号
>
> **MTF Signal Confirmation Timing / 信号确认时机**
>
> - Current timeframe signals update in real-time, confirmed on bar close
> - Higher timeframe signals (e.g., Daily on 1H chart) only update after that timeframe's bar closes
> - **Best Practice**: Wait for current timeframe bar close before acting on MTF resonance signals
>
> - 当前图表周期的信号：实时更新，K线收盘确认
> - 高周期信号（如日线）：仅在该周期K线收盘后更新
> - **最佳实践**：MTF共振信号建议在当前周期K线收盘后再做交易决策
### 💎 Auto-Adaptive Divergence Detection / 自动自适应背离检测
- **Auto Mode**: Automatically selects parameters based on asset volatility (using ATR)
自动模式：基于资产波动率（ATR）自动选择参数
- **4 Preset Modes**: Low Vol (3/40), Normal (5/60), High Vol (7/80), Crypto (10/120)
4种预设模式：低波动/普通/高波动/加密货币，分别对应不同的回看/范围参数
- **Extreme Zone Detection**: Distinguishes divergence in extreme zones (💎) vs normal zones (↗️↘️)
极端区域检测：区分极端区域背离（💎）和普通背离（↗️↘️）
- **Bullish/Bearish Divergence**: Price lower low + RSI higher low / Price higher high + RSI lower high
看涨/看跌背离：价格新低+RSI未新低 / 价格新高+RSI未新高
### 📊 Layered Signal Statistics / 分层信号统计
- **4-Tier Classification**: MTF Resonance (🌟) > Divergence+Extreme (💎) > Extreme Only (🔥❄️) > Normal (⬆️⬇️)
四层分级：多周期共振 > 背离+极端 > 仅极端 > 普通信号
- **Independent Tracking**: Each signal tier has separate count, average return, and win rate
独立跟踪：每层信号独立统计次数、平均收益、胜率
- **Signal Cooldown**: Optional cooldown period (default 5 bars) to prevent duplicate counting
信号冷却：可选冷却期（默认5根K线）防止重复计数
- **Real Forward Testing**: Calculates actual returns N bars after signal (configurable 5-100 bars)
真实前瞻测试：计算信号后N根K线的实际收益（可配置5-100）
---
## Z-Score 与 百分位：双重视角 / Dual Perspective
This indicator displays **both Z-Score and Percentile** to provide complementary views of the same RSI distribution.
本指标**同时显示Z-Score和百分位**，为同一RSI分布提供互补视角。
### Why Both? / 为什么同时显示？
**Fundamental Connection / 本质关联**：
两者都是描述RSI在历史分布中位置的统计方法。
Both are statistical methods describing RSI's position in historical distribution.
- **Z-Score（标准分数）**: `(RSI - 均值) / 标准差` - 基于正态分布假设
Based on normal distribution assumption.
- **百分位（Percentile）**: RSI在历史数据中的排名位置 - 不假设分布类型
RSI's ranking position in historical data - no distribution assumption.
**Complementary Advantages / 互补优势**：
| Dimension 维度 | Z-Score | Percentile 百分位 |
|------|---------|------------|
| **Cross-asset Consistency / 跨资产一致性** | ✅ Excellent 优秀 - BTC和SPY都用±2σ | ⚠️ Varies by volatility 因波动率不同而异 |
| **Statistical Rigor / 统计学严谨性** | ✅ Confidence intervals 置信区间、假设检验 | ⚠️ Non-parametric 非参数统计 |
| **Intuitive / 直观易懂** | ⚠️ Stats knowledge needed 需要统计学知识 | ✅ "Below 95% of history" "低于95%历史值" |
| **Use Case / 适用场景** | 📊 Quant backtesting 量化回测、信号触发 | 📈 Visualization 可视化、用户理解 |
### Conversion Reference / 转换对照表
**Quick Reference / 快速对照**（Assuming normal distribution / 假设正态分布）：
| Z-Score | Percentile 百分位 | Meaning 含义 | Signal 信号类型 |
|---------|--------|---------------|----------|
| **±2.5σ** | **P0.6 / P99.4** | Extreme anomaly (outside 99% CI) / 极端异常（99%置信区间外） | Rare opportunity 罕见机会 |
| **±2.0σ** | **P2.3 / P97.7** | Extreme OB/OS (outside 95% CI) / 极端超买/超卖（95%置信区间外） | 🔥❄️ Extreme 极端信号 |
| ±1.5σ | P6.7 / P93.3 | Notable deviation / 显著偏离 | ⬆️⬇️ Normal 普通信号（默认） |
| ±1.0σ | P15.9 / P84.1 | Mildly strong/weak / 轻度偏强/偏弱 | — |
| 0σ | P50 | Median / 中位数 | — |
### Dashboard Dual Display / 仪表盘双重显示
**新版Dashboard已实现自动转换**：
```
┌─────────────────────────────────┐
│ ADAPTIVE RSI PRO 28.5 │
├─────────────────────────────────┤
│ Z-Score −2.15σ (≈P2) │ ← Z值 + 近似百分位
│ Percentile P5 (−1.5σ ~ −2σ) │ ← 百分位 + 对应Z值范围
│ Status 🟢 EXTREME OVERSOLD │
└─────────────────────────────────┘
```
**理解方式**：
- **从Z值看**：−2.15σ 表示超过95%置信区间，统计异常 → 对应约P2
- **从百分位看**：P5 表示低于95%历史值，极端超卖 → 对应约−1.5σ到−2σ之间
### Threshold Line Modes / 阈值线模式
**Unified Mode (Recommended) / Unified模式（推荐）** - Balances rigor and intuitiveness / 兼顾严谨性和直观性：
- Draws: Z-Score threshold lines (±2σ, ±1.5σ) / 绘制：Z-Score阈值线（±2σ、±1.5σ）
- Labels: Corresponding percentiles (≈P98, ≈P93, ≈P7, ≈P2) / 标注：对应百分位（≈P98、≈P93、≈P7、≈P2）
- Advantage: Instantly understand statistical meaning and historical position / 优势：一眼看懂统计意义和历史位置
**Other Modes / 其他模式**：
- `Z-Score`: Statistical threshold lines only / 仅显示统计学阈值线
- `Percentile`: Percentile lines only / 仅显示百分位线
- `Both`: Display both types (denser) / 同时显示两类线（较密集）
### Practical Examples / 实际应用示例
**Scenario 1: Identifying Extreme Opportunities / 场景1：识别极端机会**
```
Current RSI / 当前RSI: 25.3
Dashboard shows / Dashboard显示:
Z-Score: −2.35σ (≈P1)
Percentile: P5 (< −2σ)
Status: 🟢 EXTREME OVERSOLD
Interpretation / 解读：
• Statistical perspective / 统计学视角: Beyond 99% confidence interval (|Z| > 2.3) / 超过99%置信区间，极端异常
• Intuitive perspective / 直观视角: Lower than 99% of historical values / 低于99%的历史值都低，罕见超卖
• Conclusion / 结论: Strong buy signal 🔥 / 强力买入信号 🔥
```
**Scenario 2: Normal Signal Judgment / 场景2：普通信号判断**
```
Current RSI / 当前RSI: 63.8
Dashboard shows / Dashboard显示:
Z-Score: +1.52σ (≈P94)
Percentile: P90 (+1.5σ ~ +2σ)
Status: 🟠 OVERBOUGHT
Interpretation / 解读：
• Statistical perspective / 统计学视角: ~1.5 std dev, notably high but not extreme / 约1.5倍标准差，显著偏高但未极端
• Intuitive perspective / 直观视角: Higher than 90% of historical values / 高于90%的历史值，轻度超买
• Conclusion / 结论: Consider reducing position, not forced sell ⬇️ / 考虑减仓，非强制卖出 ⬇️
```
### Dashboard Display Logic / Dashboard显示逻辑
**Z-Score Row Display / Z-Score行显示**：
- Always shows current Z-value (2 decimal places) / 始终显示当前Z值（精确到2位小数）
- Auto-calculates approximate percentile: `≈P ` / 自动计算对应的近似百分位：`≈P `
- Uses Error Function for precise conversion / 使用误差函数（Error Function）精确转换
**Percentile Row Display / Percentile行显示**：
- Shows RSI's percentile range (P5, P10, P25, etc.) / 显示RSI所处的百分位区间（P5, P10, P25等）
- Labels corresponding Z-value range (e.g., `−1.5σ ~ −2σ`) / 标注对应的Z值范围（如：`−1.5σ ~ −2σ`）
- Helps understand what "P10" means statistically / 帮助理解"P10"的统计意义
**Color Association / 颜色关联**：
- Both rows use same status color (green/yellow/white/orange/red) / 两行使用相同的状态颜色（绿/黄/白/橙/红）
- Visually reinforces "same indicator, different expressions" / 视觉上强化"同一指标的不同表达"概念
---
### Dashboard Setups / 仪表盘配置
#### Full Mode (PC/Tablet)
Shows detailed stats, MTF status, and divergence info.
显示详细统计、MTF状态和背离信息。
#### Mobile Mode (Phone) / 手机模式
Simplified 3-row layout optimized for small screens.
极简3行布局，专为手机屏幕优化。
- Row 1: RSI Value / 第1行：RSI数值
- Row 2: Signal Status (Emoji) / 第2行：信号状态 (Emoji)
- Row 3: Trend/Filter Status / 第3行：趋势/过滤状态
### 📈 Dashboard Example / 面板示例
```
┌─────────────────────────────────┐
│ ADAPTIVE RSI PRO 35.2 │
├─────────────────────────────────┤
│ Status 🟢 EXTREME OVERSOLD │
│ Percentile P10 ↓ DOWN │
│ Lookback 456 ✅✅✅ │
├─────────────────────────────────├ (Full Mode Only)
│ ── MTF ── │
│ 1h | 4h | D 🟢 | ⚪ | 🟢 │
│ Resonance 🟢 3/4 OVERSOLD │
├─────────────────────────────────┤
│ Divergence 🟢 BULL (5/60) │
├─────────────────────────────────┤
│ ── STATS ── (20 bars) │
│ 🌟 MTF Buy(12) +4.2% | 83% │
│ 🌟 MTF Sell(8) +3.8% | 75% │
│ 💎 Div Buy(15) +3.5% | 80% │
│ 💎 Div Sell(11) +2.9% | 73% │
│ 🔥 Ext Buy(45) +2.1% | 67% │
│ ❄️ Ext Sell(38) +1.8% | 63% │
└─────────────────────────────────┘
```
**Health Indicators / 健康度指标**:
- ✅✅✅ = All healthy (所有健康): Sample coverage ≥ 80%, Distribution spread ≥ 15, Statistical validity ≥ 90%
- ⚠️ present = Warning (警告): One or more health checks failed, consider using Custom mode with larger lookback
---
## Chart Lines Guide / 图表线条指南
! (images/annotated_rsi_indicator.png)
### 📊 主要线条 / Main Lines
| 线条 | 颜色/样式 | 含义 | 作用 |
|------|----------|------|------|
| **RSI主线** | 黄色粗线 | 当前RSI值 | 实时跟踪相对强弱指标 |
| **P50 自适应中位数** | 白色阶梯线 | 动态中线 | 根据历史数据自动调整的中位数，比固定50更准确 |
### 🔴 超买阈值线 / Overbought Thresholds (上方红色)
| 线条 | Z-Score | 百分位 | 样式 | 信号 |
|------|---------|--------|------|------|
| **极端超买线** | +2σ | ≈P98 | 实线 | 触发 ❄️ 极端超买信号（强卖出） |
| **普通超买线** | +1.5σ | ≈P93 | 圆点虚线 | 触发 ⬇️ 普通超买信号（考虑卖出） |
### 🟢 超卖阈值线 / Oversold Thresholds (下方绿色)
| 线条 | Z-Score | 百分位 | 样式 | 信号 |
|------|---------|--------|------|------|
| **极端超卖线** | -2σ | ≈P2 | 实线 | 触发 🔥 极端超卖信号（强买入） |
| **普通超卖线** | -1.5σ | ≈P7 | 圆点虚线 | 触发 ⬆️ 普通超卖信号（考虑买入） |
### ⚪ 固定参考线 / Fixed Reference Lines
| 线条 | 位置 | 样式 | 作用 |
|------|------|------|------|
| **0线** | 底部 | 灰色点线 | RSI下边界 |
| **50线** | 中间 | 灰色点线 | 传统固定中线参考 |
| **100线** | 顶部 | 灰色点线 | RSI上边界 |
### 🎨 渐变填充区域 / Gradient Fill Zones
- **红色渐变**（上方）：超买区域，颜色越深表示越极端
- P95-P90（深红）> P90-P75（中红）> P75-P50（浅红）
- **绿色渐变**（下方）：超卖区域，颜色越深表示越极端
- P10-P5（深绿）> P25-P10（中绿）> P50-P25（浅绿）
### 💡 关键要点 / Key Points
**线条样式区分 / Line Style Distinction:**
- **实线** = 极端信号（±2σ），优先级高，统计上95%置信区间外
- **圆点虚线** = 普通信号（±1.5σ），优先级较低，显著偏离但未极端
**动态 vs 固定 / Dynamic vs Fixed:**
- **彩色线**（红/绿）= 根据历史波动动态调整，适应不同资产特性
- **灰色虚线** = 固定不变的参考线，用于传统RSI对比
**视觉层次 / Visual Hierarchy:**
- 线条粗细：RSI主线（最粗）> 极端阈值（粗）> 普通阈值（细）> 参考线（最细）
- 透明度：核心线条（不透明）> 百分位线（半透明）> 填充区（高透明）
---
## Settings / 设置
### RSI Settings / RSI设置
| Setting | Default | Description |
|---------|---------|-------------|
| RSI Length | 14 | RSI calculation period / RSI计算周期 |
| RSI Source | Close | Price source / 价格源 |
### Adaptive Settings / 自适应设置
| Setting | Default | Description |
|---------|---------|-------------|
| Lookback Mode | Auto | Auto (statistical formula) / Custom / 自动/自定义 |
| Custom Lookback | 252 | Only used in Custom mode / 仅自定义模式使用 |
| Precision | Normal | High/Normal/Low: Adjusts error tolerance / 精度等级 |
| History Depth | 1 Year | 6 Months / 1 Year / 2 Years for volatility calculation / 波动率历史深度 |
### Visual Settings / 视觉设置
| Setting | Default | Description |
|---------|---------|-------------|
| Threshold Line Mode | **Unified** | Unified(推荐)/Z-Score/Percentile/Both / 阈值线模式 |
| Show Gradient Fill | ON | Display background gradients / 显示背景渐变 |
| Show Dashboard | ON | Display dashboard panel / 显示仪表盘面板 |
| Dashboard Mode | Full | Full/Lite/Mobile(Phone) / 面板模式 |
| Dashboard Size | Normal | Tiny/Small/Normal/Large / 面板大小 |
| Dashboard Transparency | 30 | 0-100% transparency level / 透明度 |
| Bullish Color | #00E676 | Custom color for bullish signals / 牛市信号颜色 |
| Bearish Color | #FF5252 | Custom color for bearish signals / 熊市信号颜色 |
| RSI Line Color | #FFEB3B | RSI line color / RSI主线颜色 |
### Trend Filter / 趋势过滤
| Setting | Default | Description |
|---------|---------|-------------|
| Enable Trend Filter | OFF | Only trigger signals in trend direction / 趋势方向过滤 |
| Filter Mode | Auto | Auto/Fixed 50/Adaptive P50/SMA(RSI)/BB(RSI) / 过滤模式 |
### Alert Settings / 警报设置
| Setting | Default | Description |
|---------|---------|-------------|
| **🎯 Smart Alert** | **ON** | **V6 Unified Alert System** / V6统一警报系统 |
| Show Normal Signals | OFF | Display ⬆️⬇️ on chart / 图表显示普通信号 |
| Normal Signal Threshold | 1.5σ | Z-Score threshold (1.0-2.0σ) / 普通信号阈值 |
| Enable Signal Cooldown | ON | Prevent duplicate signal counting / 防止重复信号 |
| Cooldown Period | 5 bars | Bars between same signal type / 冷却K线数 |
### Multi-Timeframe / 多时间框架
| Setting | Default | Description |
|---------|---------|-------------|
| Enable | ON | Show MTF analysis / 显示MTF分析 |
| MTF Mode | **Auto** | **Auto** (Fractal Breakdown) / **Manual** (Fixed) / 自动/手动模式 |
| TF1/TF2/TF3 | 60/240/D | Timeframes (Manual mode only) / 时间框架（仅手动模式）|
### Signal Statistics / 信号统计
| Setting | Default | Description |
|---------|---------|-------------|
| Enable | ON | Track performance / 跟踪表现 |
| Forward Bars | 20 | Bars for return calculation / 收益计算K线数 |
### Divergence Detection / 背离检测
| Setting | Default | Description |
|---------|---------|-------------|
| Enable Detection | ON | Detect divergences / 检测背离 |
| Divergence Mode | Auto | Auto/Low Vol/Normal/High Vol/Crypto/Custom / 背离模式 |
| Custom Lookback | 5 | Only in Custom mode / 仅自定义模式使用 |
| Custom Range | 60 | Only in Custom mode / 仅自定义模式使用 |
**Auto Mode Presets / 自动模式预设**:
- Low Vol (蓝筹/ETF): Lookback 3, Range 40
- Normal (一般股票): Lookback 5, Range 60
- High Vol (成长股): Lookback 7, Range 80
- Crypto (加密货币): Lookback 10, Range 120
---
## Alerts / 警报
### 🎯 Smart Alert (V6 Unified System)
**The only alert method / 唯一的警报方式** - 自动聚合所有信号到一条富文本消息
Automatically aggregates all signals into a single rich-text message.
**Setup Steps / 设置方法**:
1. Keep "🎯 Smart Alert" enabled in indicator settings (default) / 指标设置中保持 "🎯 Smart Alert" 开启（默认）
2. When creating alert, select **"Any alert() function call"** / 创建警报时选择 **"Any alert() function call"**
3. Done! You'll receive real-time aggregated alerts / 完成！您会收到实时的聚合警报
**Message Example / 消息示例**:
```
AAPL: 🟢 BUY SIGNALS → 🌟MTF共振 💎背离 🔥极端 | RSI:25.3 Z:-2.1σ (≈P2)
AAPL: 🔴 SELL SIGNALS → ❄️极端 | RSI:78.5 Z:2.3σ (≈P98)
```
**Features / 特性**:
- ✅ **Real-time trigger / 实时触发** - Sends when condition met within bar / K线运行中触发条件即发送
- ✅ **Anti-flicker / 防闪烁** - Uses `varip` to prevent duplicate alerts from signal flickering within same bar / 使用 `varip` 防止信号闪烁导致同一K线内重复警报
- ✅ **Signal upgrade detection / 信号升级检测** - Alerts when stronger signal appears (e.g., 🔥Extreme → 🌟MTF) even on same bar / 同一K线内出现更强信号时也会触发（如：🔥极端 → 🌟MTF共振）
- ✅ **Full context / 完整上下文** - Includes RSI value, Z-Score, approximate percentile / 包含RSI值、Z-Score、近似百分位
- ✅ **Auto-aggregation / 自动聚合** - One message contains all triggered signals / 一条消息包含所有触发的信号
- ✅ **Buy/Sell independent tracking / 买卖独立追踪** - Buy and Sell alerts tracked separately / 买入和卖出警报独立追踪，互不干扰
**Signal Priority Levels / 信号优先级**:
| Level 等级 | Signal 信号 | Description 描述 |
|------------|-------------|------------------|
| 4 (Highest) | 🌟 MTF Resonance | Multi-timeframe agreement / 多周期共振 |
| 3 | 💎 Divergence | Divergence + Extreme zone / 背离+极端区 |
| 2 | 🔥❄️ Extreme | Extreme oversold/overbought / 极端超卖/超买 |
| 1 (Lowest) | ⬆️⬇️ Normal | Normal oversold/overbought / 普通超卖/超买 |
---
## Usage Tips / 使用建议
| Timeframe | Lookback | Use Case |
|-----------|----------|----------|
| Daily | 252 | Swing trading / 波段交易 |
| 4H | 1000 | Short-term / 短线 |
| 1H | 2000 | Day trading / 日内交易 |
**Best Practices / 最佳实践:**
1. Focus on 🌟 and 💎 signals (highest priority) / 优先关注 🌟 和 💎 信号（最高优先级）
2. Use MTF resonance for high-confidence entries / 使用 MTF 共振确认高置信度入场
3. Check win rate in stats before trading / 交易前查看统计胜率
---
## Changelog / 更新日志
### v6.2 - Smart Alert Anti-Flicker / 智能防抖警报 (Current / 当前版本)
- 🛡️ **Anti-flicker Mechanism / 防闪烁机制**: Fixed issue where signal flickering caused multiple duplicate alerts within same bar. Now uses `varip` to track alert status per bar. / 修复信号闪烁导致同一K线内发送多次重复警报的问题，使用 `varip` 追踪每根K线的警报状态。
- 📈 **Signal Upgrade Detection / 信号升级检测**: Tracks signal priority level (MTF=4, Divergence=3, Extreme=2, Normal=1). Sends new alert when stronger signal appears on same bar. / 追踪信号优先级等级。同一K线内出现更强信号时会发送新警报。
- 🔄 **Independent Buy/Sell Tracking / 买卖独立追踪**: Buy and Sell alerts are tracked independently, allowing direction changes within same bar. / 买入和卖出警报独立追踪，允许同一K线内捕捉方向变化。
### v6.1 - Mobile Experience / 移动端体验
- 📱 **Mobile Dashboard / 手机端面板**: Added simplified "Mobile" mode optimized for phone screens (RSI + Signal Emoji only). / 新增简化的"Mobile"模式，针对手机屏幕优化（仅显示RSI+信号Emoji）。
- 🔥 **Persistent Zone Status / 持续区域状态**: Mobile Dashboard now shows persistent extreme zone indicators when no new signal but RSI remains in zone: `🔥持续` (Extreme Oversold), `❄️持续` (Extreme Overbought), `⬆️区` (Oversold), `⬇️区` (Overbought). / 手机端面板现在显示持续极端区域指示器：无新信号但RSI仍在区域内时显示持续状态。
- 🔧 **UX Improvements / 用户体验优化**: Optimized font sizes and layout for small screens. / 优化字体大小和小屏幕布局。
### v6.0 - Alert System Simplification & V6 Optimization / 警报系统简化与V6优化
- 🎯 **Smart Alert System / 智能警报系统简化**:
- **Unified entry / 唯一警报入口**: Removed all legacy alertcondition, unified to V6 Smart Alert / 移除所有legacy alertcondition，统一为V6 Smart Alert
- **Real-time trigger / 实时触发**: Changed to `alert.freq_once_per_bar` for intra-bar response / 改为 `alert.freq_once_per_bar` 实现K线内实时响应
- **Smart dedup / 智能去重**: Rising edge detection (`signal and not signal `) / 上升沿检测，只在新信号出现时触发
- **Auto-aggregation / 自动聚合**: Single message with all signals + RSI + Z-Score + Percentile / 单条消息包含所有触发信号 + RSI + Z-Score + 百分位
- **Simplified settings / 简化设置**: Removed "Extreme Alerts" and "Normal Alerts", only Smart Alert toggle / 移除 "Extreme Alerts" 和 "Normal Alerts"，只保留Smart Alert开关
- 🛠 **Performance Optimization / 性能优化**:
- Reduced `request.security` calls by 50% using Tuple Requests / 使用元组请求减少50%的`request.security`调用
- Implemented `str.format()` for cleaner and faster string processing / 实现`str.format()`使字符串处理更简洁高效
- 🧹 **Code Cleanup / 代码清理**:
- Refactored timeframe display and alert logic / 重构时间框架显示和警报逻辑
- Fixed plot limit issues and tuple assignment syntax / 修复绑点限制问题和元组赋值语法
- Unified plot titles with percentile annotations / 统一绑点标题与百分位标注
### v5.0 - Adaptive Fractal MTF / 自适应分形MTF
- 🧠 **Adaptive Fractal MTF / 自适应分形MTF**: New "Auto" mode automatically selects lower timeframes for precision structure analysis (Internal Fractal Resonance). / 新增"Auto"模式，自动选择更低时间框架进行精确结构分析（内部分形共振）。
- Daily Chart → Analyzes 1H & 4H / 日线图 → 分析1小时和4小时
- 1H Chart → Analyzes 5m & 15m / 1小时图 → 分析5分钟和15分钟
- 15m Chart → Analyzes 1m & 5m / 15分钟图 → 分析1分钟和5分钟
- 🛠 **Code Refactoring / 代码重构**: Implemented Pine Script v6 UDTs (Objects) and Methods for robust signal statistics. / 实现Pine Script v6 UDT（对象）和方法，增强信号统计的健壮性。
- 🎨 **Dashboard Optimization / 面板优化**: Enhanced string formatting using `str.format` for cleaner display. / 使用`str.format`优化字符串格式，显示更简洁。
### v4.0 - Pine Script v6 Upgrade / Pine Script v6升级
- 🚀 Upgraded entire codebase to **Pine Script v6** engine / 将整个代码库升级到 **Pine Script v6** 引擎
- ⚡ Optimization for better performance and future-proofing / 性能优化，面向未来
- 🛠 Maintenance updates for latest TradingView standards / 维护更新以符合最新TradingView标准
### v3.0 - Auto-Adaptive Systems / 自动自适应系统
- ✨ Auto-adaptive lookback using formula `n = (Z × σ / E)²` / 使用统计公式 `n = (Z × σ / E)²` 自动计算回看期
- ✨ Auto-adaptive trend filter with 5 modes / 5种模式的自动自适应趋势过滤器
- ✨ Auto-adaptive divergence detection with 4 presets / 4种预设的自动自适应背离检测
- ✨ Layered statistics (MTF/Divergence/Extreme/Normal) / 分层统计系统（MTF/背离/极端/普通）
- ✨ Signal cooldown to prevent duplicate counting / 信号冷却机制防止重复计数
- ✨ Health indicators for lookback validation / 回看期健康度指标验证
- ✨ Dashboard modes (Lite/Full) with customization / 面板模式（Lite/Full）支持自定义大小和透明度
- ✨ Dual volatility system (short + long-term) / 双重波动率系统（短期+长期）
### v2.1 - Signal Optimization / 信号优化
- ✨ Consolidated signals with priority system / 信号合并与优先级系统（无重叠）
- ✨ Emoji-based signal display / 基于Emoji的信号显示
- ✨ MTF timeframe auto-skip for duplicates / MTF时间框架自动跳过重复
### v2.0 - Pro Edition / 专业版
- ✨ Added Trend Filter, MTF RSI, Statistics, Divergence / 新增趋势过滤、MTF RSI、统计、背离检测
- ✨ Z-Score based signal triggering / 基于Z-Score的信号触发
### v1.0 - Initial Release / 初始发布
- ✨ Adaptive percentile-based thresholds / 自适应百分位阈值
---
## License
MIT License - Feel free to use, modify, and share.
ORB Fusion🎯 CORE INNOVATION: INSTITUTIONAL ORB FRAMEWORK WITH FAILED BREAKOUT INTELLIGENCE
ORB Fusion represents a complete institutional-grade Opening Range Breakout system combining classic Market Profile concepts (Initial Balance, day type classification) with modern algorithmic breakout detection, failed breakout reversal logic, and comprehensive statistical tracking. Rather than simply drawing lines at opening range extremes, this system implements the full trading methodology used by professional floor traders and market makers—including the critical concept that failed breakouts are often higher-probability setups than successful breakouts .
The Opening Range Hypothesis:
The first 30-60 minutes of trading establishes the day's value area —the price range where the majority of participants agree on fair value. This range is formed during peak information flow (overnight news digestion, gap reactions, early institutional positioning). Breakouts from this range signal directional conviction; failures to hold breakouts signal trapped participants and create exploitable reversals.
Why Opening Range Matters:
1. Information Aggregation : Opening range reflects overnight news, pre-market sentiment, and early institutional orders. It's the market's initial "consensus" on value.
2. Liquidity Concentration : Stop losses cluster just outside opening range. Breakouts trigger these stops, creating momentum. Failed breakouts trap traders, forcing reversals.
3. Statistical Persistence : Markets exhibit range expansion tendency —when price accepts above/below opening range with volume, it often extends 1.0-2.0x the opening range size before mean reversion.
4. Institutional Behavior : Large players (market makers, institutions) use opening range as reference for the day's trading plan. They fade extremes in rotation days and follow breakouts in trend days.
Historical Context:
Opening Range Breakout methodology originated in commodity futures pits (1970s-80s) where floor traders noticed consistent patterns: the first 30-60 minutes established a "fair value zone," and directional moves occurred when this zone was violated with conviction. J. Peter Steidlmayer formalized this observation in Market Profile theory, introducing the "Initial Balance" concept—the first hour (two 30-minute periods) defining market structure.
📊 OPENING RANGE CONSTRUCTION
Four ORB Timeframe Options:
1. 5-Minute ORB (0930-0935 ET):
Captures immediate market direction during "opening drive"—the explosive first few minutes when overnight orders hit the tape.
Use Case:
• Scalping strategies
• High-frequency breakout trading
• Extremely liquid instruments (ES, NQ, SPY)
Characteristics:
• Very tight range (often 0.2-0.5% of price)
• Early breakouts common (7 of 10 days break within first hour)
• Higher false breakout rate (50-60%)
• Requires sub-minute chart monitoring
Psychology: Captures panic buyers/sellers reacting to overnight news. Range is small because sample size is minimal—only 5 minutes of price discovery. Early breakouts often fail because they're driven by retail FOMO rather than institutional conviction.
2. 15-Minute ORB (0930-0945 ET):
Balances responsiveness with statistical validity. Captures opening drive plus initial reaction to that drive.
Use Case:
• Day trading strategies
• Balanced scalping/swing hybrid
• Most liquid instruments
Characteristics:
• Moderate range (0.4-0.8% of price typically)
• Breakout rate ~60% of days
• False breakout rate ~40-45%
• Good balance of opportunity and reliability
Psychology: Includes opening panic AND the first retest/consolidation. Sophisticated traders (institutions, algos) start expressing directional bias. This is the "Goldilocks" timeframe—not too reactive, not too slow.
3. 30-Minute ORB (0930-1000 ET):
Classic ORB timeframe. Default for most professional implementations.
Use Case:
• Standard intraday trading
• Position sizing for full-day trades
• All liquid instruments (equities, indices, futures)
Characteristics:
• Substantial range (0.6-1.2% of price)
• Breakout rate ~55% of days
• False breakout rate ~35-40%
• Statistical sweet spot for extensions
Psychology: Full opening auction + first institutional repositioning complete. By 10:00 AM ET, headlines are digested, early stops are hit, and "real" directional players reveal themselves. This is when institutional programs typically finish their opening positioning.
Statistical Advantage: 30-minute ORB shows highest correlation with daily range. When price breaks and holds outside 30m ORB, probability of reaching 1.0x extension (doubling the opening range) exceeds 60% historically.
4. 60-Minute ORB (0930-1030 ET) - Initial Balance:
Steidlmayer's "Initial Balance"—the foundation of Market Profile theory.
Use Case:
• Swing trading entries
• Day type classification
• Low-frequency institutional setups
Characteristics:
• Wide range (0.8-1.5% of price)
• Breakout rate ~45% of days
• False breakout rate ~25-30% (lowest)
• Best for trend day identification
Psychology: Full first hour captures A-period (0930-1000) and B-period (1000-1030). By 10:30 AM ET, all early positioning is complete. Market has "voted" on value. Subsequent price action confirms (trend day) or rejects (rotation day) this value assessment.
Initial Balance Theory:
IB represents the market's accepted value area . When price extends significantly beyond IB (>1.5x IB range), it signals a Trend Day —strong directional conviction. When price remains within 1.0x IB, it signals a Rotation Day —mean reversion environment. This classification completely changes trading strategy.
🔬 LTF PRECISION TECHNOLOGY
The Chart Timeframe Problem:
Traditional ORB indicators calculate range using the chart's current timeframe. This creates critical inaccuracies:
Example:
• You're on a 5-minute chart
• ORB period is 30 minutes (0930-1000 ET)
• Indicator sees only 6 bars (30min ÷ 5min/bar = 6 bars)
• If any 5-minute bar has extreme wick, entire ORB is distorted
The Problem Amplifies:
• On 15-minute chart with 30-minute ORB: Only 2 bars sampled
• On 30-minute chart with 30-minute ORB: Only 1 bar sampled
• Opening spike or single large wick defines entire range (invalid)
Solution: Lower Timeframe (LTF) Precision:
ORB Fusion uses `request.security_lower_tf()` to sample 1-minute bars regardless of chart timeframe:
```
For 30-minute ORB on 15-minute chart:
- Traditional method: Uses 2 bars (15min × 2 = 30min)
- LTF Precision: Requests thirty 1-minute bars, calculates true high/low
```
Why This Matters:
Scenario: ES futures, 15-minute chart, 30-minute ORB
• Traditional ORB: High = 5850.00, Low = 5842.00 (range = 8 points)
• LTF Precision ORB: High = 5848.50, Low = 5843.25 (range = 5.25 points)
Difference: 2.75 points distortion from single 15-minute wick hitting 5850.00 at 9:31 AM then immediately reversing. LTF precision filters this out by seeing it was a fleeting wick, not a sustained high.
Impact on Extensions:
With inflated range (8 points vs 5.25 points):
• 1.5x extension projects +12 points instead of +7.875 points
• Difference: 4.125 points (nearly $200 per ES contract)
• Breakout signals trigger late; extension targets unreachable
Implementation:
```pinescript
getLtfHighLow() =>
float ha = request.security_lower_tf(syminfo.tickerid, "1", high)
float la = request.security_lower_tf(syminfo.tickerid, "1", low)
```
Function returns arrays of 1-minute high/low values, then finds true maximum and minimum across all samples.
When LTF Precision Activates:
Only when chart timeframe exceeds ORB session window:
• 5-minute chart + 30-minute ORB: LTF used (chart TF > session bars needed)
• 1-minute chart + 30-minute ORB: LTF not needed (direct sampling sufficient)
Recommendation: Always enable LTF Precision unless you're on 1-minute charts. The computational overhead is negligible, and accuracy improvement is substantial.
⚖️ INITIAL BALANCE (IB) FRAMEWORK
Steidlmayer's Market Profile Innovation:
J. Peter Steidlmayer developed Market Profile in the 1980s for the Chicago Board of Trade. His key insight: market structure is best understood through time-at-price (value area) rather than just price-over-time (traditional charts).
Initial Balance Definition:
IB is the price range established during the first hour of trading, subdivided into:
• A-Period : First 30 minutes (0930-1000 ET for US equities)
• B-Period : Second 30 minutes (1000-1030 ET)
A-Period vs B-Period Comparison:
The relationship between A and B periods forecasts the day:
B-Period Expansion (Bullish):
• B-period high > A-period high
• B-period low ≥ A-period low
• Interpretation: Buyers stepping in after opening assessed
• Implication: Bullish continuation likely
• Strategy: Buy pullbacks to A-period high (now support)
B-Period Expansion (Bearish):
• B-period low < A-period low
• B-period high ≤ A-period high
• Interpretation: Sellers stepping in after opening assessed
• Implication: Bearish continuation likely
• Strategy: Sell rallies to A-period low (now resistance)
B-Period Contraction:
• B-period stays within A-period range
• Interpretation: Market indecisive, digesting A-period information
• Implication: Rotation day likely, stay range-bound
• Strategy: Fade extremes, sell high/buy low within IB
IB Extensions:
Professional traders use IB as a ruler to project price targets:
Extension Levels:
• 0.5x IB : Initial probe outside value (minor target)
• 1.0x IB : Full extension (major target for normal days)
• 1.5x IB : Trend day threshold (classifies as trending)
• 2.0x IB : Strong trend day (rare, ~10-15% of days)
Calculation:
```
IB Range = IB High - IB Low
Bull Extension 1.0x = IB High + (IB Range × 1.0)
Bear Extension 1.0x = IB Low - (IB Range × 1.0)
```
Example:
ES futures:
• IB High: 5850.00
• IB Low: 5842.00
• IB Range: 8.00 points
Extensions:
• 1.0x Bull Target: 5850 + 8 = 5858.00
• 1.5x Bull Target: 5850 + 12 = 5862.00
• 2.0x Bull Target: 5850 + 16 = 5866.00
If price reaches 5862.00 (1.5x), day is classified as Trend Day —strategy shifts from mean reversion to trend following.
📈 DAY TYPE CLASSIFICATION SYSTEM
Four Day Types (Market Profile Framework):
1. TREND DAY:
Definition: Price extends ≥1.5x IB range in one direction and stays there.
Characteristics:
• Opens and never returns to IB
• Persistent directional movement
• Volume increases as day progresses (conviction building)
• News-driven or strong institutional flow
Frequency: ~20-25% of trading days
Trading Strategy:
• DO: Follow the trend, trail stops, let winners run
• DON'T: Fade extremes, take early profits
• Key: Add to position on pullbacks to previous extension level
• Risk: Getting chopped in false trend (see Failed Breakout section)
Example: FOMC decision, payroll report, earnings surprise—anything creating one-sided conviction.
2. NORMAL DAY:
Definition: Price extends 0.5-1.5x IB, tests both sides, returns to IB.
Characteristics:
• Two-sided trading
• Extensions occur but don't persist
• Volume balanced throughout day
• Most common day type
Frequency: ~45-50% of trading days
Trading Strategy:
• DO: Take profits at extension levels, expect reversals
• DON'T: Hold for massive moves
• Key: Treat each extension as a profit-taking opportunity
• Risk: Holding too long when momentum shifts
Example: Typical day with no major catalysts—market balancing supply and demand.
3. ROTATION DAY:
Definition: Price stays within IB all day, rotating between high and low.
Characteristics:
• Never accepts outside IB
• Multiple tests of IB high/low
• Decreasing volume (no conviction)
• Classic range-bound action
Frequency: ~25-30% of trading days
Trading Strategy:
• DO: Fade extremes (sell IB high, buy IB low)
• DON'T: Chase breakouts
• Key: Enter at extremes with tight stops just outside IB
• Risk: Breakout finally occurs after multiple failures
Example: [/b> Pre-holiday trading, summer doldrums, consolidation after big move.
4. DEVELOPING:
Definition: Day type not yet determined (early in session).
Usage: Classification before 12:00 PM ET when IB extension pattern unclear.
ORB Fusion's Classification Algorithm:
```pinescript
if close > ibHigh:
ibExtension = (close - ibHigh) / ibRange
direction = "BULLISH"
else if close < ibLow:
ibExtension = (ibLow - close) / ibRange
direction = "BEARISH"
if ibExtension >= 1.5:
dayType = "TREND DAY"
else if ibExtension >= 0.5:
dayType = "NORMAL DAY"
else if close within IB:
dayType = "ROTATION DAY"
```
Why Classification Matters:
Same setup (bullish ORB breakout) has opposite implications:
• Trend Day : Hold for 2.0x extension, trail stops aggressively
• Normal Day : Take profits at 1.0x extension, watch for reversal
• Rotation Day : Fade the breakout immediately (likely false)
Knowing day type prevents catastrophic errors like fading a trend day or holding through rotation.
🚀 BREAKOUT DETECTION & CONFIRMATION
Three Confirmation Methods:
1. Close Beyond Level (Recommended):
Logic: Candle must close above ORB high (bull) or below ORB low (bear).
Why:
• Filters out wicks (temporary liquidity grabs)
• Ensures sustained acceptance above/below range
• Reduces false breakout rate by ~20-30%
Example:
• ORB High: 5850.00
• Bar high touches 5850.50 (wick above)
• Bar closes at 5848.00 (inside range)
• Result: NO breakout signal
vs.
• Bar high touches 5850.50
• Bar closes at 5851.00 (outside range)
• Result: BREAKOUT signal confirmed
Trade-off: Slightly delayed entry (wait for close) but much higher reliability.
2. Wick Beyond Level:
Logic: [/b> Any touch of ORB high/low triggers breakout.
Why:
• Earliest possible entry
• Captures aggressive momentum moves
Risk:
• High false breakout rate (60-70%)
• Stop runs trigger signals
• Requires very tight stops (difficult to manage)
Use Case: Scalping with 1-2 point profit targets where any penetration = trade.
3. Body Beyond Level:
Logic: [/b> Candle body (close vs open) must be entirely outside range.
Why:
• Strictest confirmation
• Ensures directional conviction (not just momentum)
• Lowest false breakout rate
Example: Trade-off: [/b> Very conservative—misses some valid breakouts but rarely triggers on false ones.
Volume Confirmation Layer:
All confirmation methods can require volume validation:
Volume Multiplier Logic: Rationale: [/b> True breakouts are driven by institutional activity (large size). Volume spike confirms real conviction vs. stop-run manipulation.
Statistical Impact: [/b>
• Breakouts with volume confirmation: ~65% success rate
• Breakouts without volume: ~45% success rate
• Difference: 20 percentage points edge
Implementation Note: [/b>
Volume confirmation adds complexity—you'll miss breakouts that work but lack volume. However, when targeting 1.5x+ extensions (ambitious goals), volume confirmation becomes critical because those moves require sustained institutional participation.
Recommended Settings by Strategy: [/b>
Scalping (1-2 point targets): [/b>
• Method: Close
• Volume: OFF
• Rationale: Quick in/out doesn't need perfection
Intraday Swing (5-10 point targets): [/b>
• Method: Close
• Volume: ON (1.5x multiplier)
• Rationale: Balance reliability and opportunity
Position Trading (full-day holds): [/b>
• Method: Body
• Volume: ON (2.0x multiplier)
• Rationale: Must be certain—large stops require high win rate
🔥 FAILED BREAKOUT SYSTEM
The Core Insight: [/b>
Failed breakouts are often more profitable [/b> than successful breakouts because they create trapped traders with predictable behavior.
Failed Breakout Definition: [/b>
A breakout that:
1. Initially penetrates ORB level with confirmation
2. Attracts participants (volume spike, momentum)
3. Fails to extend (stalls or immediately reverses)
4. Returns inside ORB range within N bars
Psychology of Failure: [/b>
When breakout fails:
• Breakout buyers are trapped [/b>: Bought at ORB high, now underwater
• Early longs reduce: Take profit, fearful of reversal
• Shorts smell blood: See failed breakout as reversal signal
• Result: Cascade of selling as trapped bulls exit + new shorts enter
Mirror image for failed bearish breakouts (trapped shorts cover + new longs enter).
Failure Detection Parameters: [/b>
1. Failure Confirmation Bars (default: 3): [/b>
How many bars after breakout to confirm failure?
Logic: Settings: [/b>
• 2 bars: Aggressive failure detection (more signals, more false failures)
• 3 bars Balanced (default)
• 5-10 bars: Conservative (wait for clear reversal)
Why This Matters:
Too few bars: You call "failed breakout" when price is just consolidating before next leg.
Too many bars: You miss the reversal entry (price already back in range).
2. Failure Buffer (default: 0.1 ATR): [/b>
How far inside ORB must price return to confirm failure?
Formula: Why Buffer Matters: clear rejection [/b> (not just hovering at level).
Settings: [/b>
• 0.0 ATR: No buffer, immediate failure signal
• 0.1 ATR: Small buffer (default) - filters noise
• [b>0.2-0.3 ATR: Large buffer - only dramatic failures count
Example: Reversal Entry System: [/b>
When failure confirmed, system generates complete reversal trade:
For Failed Bull Breakout (Short Reversal): [/b>
Entry: [/b> Current close when failure confirmed
Stop Loss: [/b> Extreme high since breakout + 0.10 ATR padding
Target 1: [/b> ORB High - (ORB Range × 0.5)
Target 2: Target 3: [/b> ORB High - (ORB Range × 1.5)
Example:
• ORB High: 5850, ORB Low: 5842, Range: 8 points
• Breakout to 5853, fails, reverses to 5848 (entry)
• Stop: 5853 + 1 = 5854 (6 point risk)
• T1: 5850 - 4 = 5846 (-2 points, 1:3 R:R)
• T2: 5850 - 8 = 5842 (-6 points, 1:1 R:R)
• T3: 5850 - 12 = 5838 (-10 points, 1.67:1 R:R)
[b>Why These Targets? [/b>
• T1 (0.5x ORB below high): Trapped bulls start panic
• T2 (1.0x ORB = ORB Mid): Major retracement, momentum fully reversed
• T3 (1.5x ORB): Reversal extended, now targeting opposite side
Historical Performance: [/b>
Failed breakout reversals in ORB Fusion's tracking system show:
• Win Rate: 65-75% (significantly higher than initial breakouts)
• Average Winner: 1.2x ORB range
• Average Loser: 0.5x ORB range (protected by stop at extreme)
• Expectancy: Strongly positive even with <70% win rate
Why Failed Breakouts Outperform: [/b>
1. Information Advantage: You now know what price did (failed to extend). Initial breakout trades are speculative; reversal trades are reactive to confirmed failure.
2. Trapped Participant Pressure: Every trapped bull becomes a seller. This creates sustained pressure.
3. Stop Loss Clarity: Extreme high is obvious stop (just beyond recent high). Breakout trades have ambiguous stops (ORB mid? Recent low? Too wide or too tight).
4. Mean Reversion Edge: Failed breakouts return to value (ORB mid). Initial breakouts try to escape value (harder to sustain).
Critical Insight: [/b>
"The best trade is often the one that trapped everyone else."
Failed breakouts create asymmetric opportunity because you're trading against [/b> trapped participants rather than with [/b> them. When you see a failed breakout signal, you're seeing real-time evidence that the market rejected directional conviction—that's exploitable.
📐 FIBONACCI EXTENSION SYSTEM
Six Extension Levels: [/b>
Extensions project how far price will travel after ORB breakout. Based on Fibonacci ratios + empirical market behavior.
1. 1.272x (27.2% Extension): [/b>
Formula: [/b> ORB High/Low + (ORB Range × 0.272)
Psychology: [/b> Initial probe beyond ORB. Early momentum + trapped shorts (on bull side) covering.
Probability of Reach: [/b> ~75-80% after confirmed breakout
Trading: [/b>
• First resistance/support after breakout
• Partial profit target (take 30-50% off)
• Watch for rejection here (could signal failure in progress)
Why 1.272? [/b> Related to harmonic patterns (1.272 is √1.618). Empirically, markets often stall at 25-30% extension before deciding whether to continue or fail.
2. 1.5x (50% Extension):
Formula: [/b> ORB High/Low + (ORB Range × 0.5)
Psychology: [/b> Breakout gaining conviction. Requires sustained buying/selling (not just momentum spike).
Probability of Reach: [/b> ~60-65% after confirmed breakout
Trading: [/b>
• Major partial profit (take 50-70% off)
• Move stops to breakeven
• Trail remaining position
Why 1.5x? [/b> Classic halfway point to 2.0x. Markets often consolidate here before final push. If day type is "Normal," this is likely the high/low for the day.
3. 1.618x (Golden Ratio Extension): [/b>
Formula: [/b> ORB High/Low + (ORB Range × 0.618)
Psychology: [/b> Strong directional day. Institutional conviction + retail FOMO.
Probability of Reach: [/b> ~45-50% after confirmed breakout
Trading: [/b>
• Final partial profit (close 80-90%)
• Trail remainder with wide stop (allow breathing room)
Why 1.618? [/b> Fibonacci golden ratio. Appears consistently in market geometry. When price reaches 1.618x extension, move is "mature" and reversal risk increases.
4. 2.0x (100% Extension): [/b>
Formula: ORB High/Low + (ORB Range × 1.0)
Psychology: [/b> Trend day confirmed. Opening range completely duplicated.
Probability of Reach: [/b> ~30-35% after confirmed breakout
Trading: Why 2.0x? [/b> Psychological level—range doubled. Also corresponds to typical daily ATR in many instruments (opening range ~ 0.5 ATR, daily range ~ 1.0 ATR).
5. 2.618x (Super Extension):
Formula: [/b> ORB High/Low + (ORB Range × 1.618)
Psychology: [/b> Parabolic move. News-driven or squeeze.
Probability of Reach: [/b> ~10-15% after confirmed breakout
[b>Trading: Why 2.618? [/b> Fibonacci ratio (1.618²). Rare to reach—when it does, move is extreme. Often precedes multi-day consolidation or reversal.
6. 3.0x (Extreme Extension): [/b>
Formula: [/b> ORB High/Low + (ORB Range × 2.0)
Psychology: [/b> Market melt-up/crash. Only in extreme events.
[b>Probability of Reach: [/b> <5% after confirmed breakout
Trading: [/b>
• Close immediately if reached
• These are outlier events (black swans, flash crashes, squeeze-outs)
• Holding for more is greed—take windfall profit
Why 3.0x? [/b> Triple opening range. So rare it's statistical noise. When it happens, it's headline news.
Visual Example:
ES futures, ORB 5842-5850 (8 point range), Bullish breakout:
• ORB High : 5850.00 (entry zone)
• 1.272x : 5850 + 2.18 = 5852.18 (first resistance)
• 1.5x : 5850 + 4.00 = 5854.00 (major target)
• 1.618x : 5850 + 4.94 = 5854.94 (strong target)
• 2.0x : 5850 + 8.00 = 5858.00 (trend day)
• 2.618x : 5850 + 12.94 = 5862.94 (extreme)
• 3.0x : 5850 + 16.00 = 5866.00 (parabolic)
Profit-Taking Strategy:
Optimal scaling out at extensions:
• Breakout entry at 5850.50
• 30% off at 1.272x (5852.18) → +1.68 points
• 40% off at 1.5x (5854.00) → +3.50 points
• 20% off at 1.618x (5854.94) → +4.44 points
• 10% off at 2.0x (5858.00) → +7.50 points
[b>Average Exit: Conclusion: [/b> Scaling out at extensions produces 40% higher expectancy than holding for home runs.
📊 GAP ANALYSIS & FILL PSYCHOLOGY
[b>Gap Definition: [/b>
Price discontinuity between previous close and current open:
• Gap Up : Open > Previous Close + noise threshold (0.1 ATR)
• Gap Down : Open < Previous Close - noise threshold
Why Gaps Matter: [/b>
Gaps represent unfilled orders [/b>. When market gaps up, all limit buy orders between yesterday's close and today's open are never filled. Those buyers are "left behind." Psychology: they wait for price to return ("fill the gap") so they can enter. This creates magnetic pull [/b> toward gap level.
Gap Fill Statistics (Empirical): [/b>
• Gaps <0.5% [/b>: 85-90% fill within same day
• Gaps 0.5-1.0% [/b>: 70-75% fill within same day, 90%+ within week
• Gaps >1.0% [/b>: 50-60% fill within same day (major news often prevents fill)
Gap Fill Strategy: [/b>
Setup 1: Gap-and-Go
Gap opens, extends away from gap (doesn't fill).
• ORB confirms direction away from gap
• Trade WITH ORB breakout direction
• Expectation: Gap won't fill today (momentum too strong)
Setup 2: Gap-Fill Fade
Gap opens, but fails to extend. Price drifts back toward gap.
• ORB breakout TOWARD gap (not away)
• Trade toward gap fill level
• Target: Previous close (gap fill complete)
Setup 3: Gap-Fill Rejection
Gap fills (touches previous close) then rejects.
• ORB breakout AWAY from gap after fill
• Trade away from gap direction
• Thesis: Gap filled (orders executed), now resume original direction
[b>Example: Scenario A (Gap-and-Go):
• ORB breaks upward to $454 (away from gap)
• Trade: LONG breakout, expect continued rally
• Gap becomes support ($452)
Scenario B (Gap-Fill):
• ORB breaks downward through $452.50 (toward gap)
• Trade: SHORT toward gap fill at $450.00
• Target: $450.00 (gap filled), close position
Scenario C (Gap-Fill Rejection):
• Price drifts to $450.00 (gap filled) early in session
• ORB establishes $450-$451 after gap fill
• ORB breaks upward to $451.50
• Trade: LONG breakout (gap is filled, now resume rally)
ORB Fusion Integration: [/b>
Dashboard shows:
• Gap type (Up/Down/None)
• Gap size (percentage)
• Gap fill status (Filled ✓ / Open)
This informs setup confidence:
• ORB breakout AWAY from unfilled gap: +10% confidence (gap becomes support/resistance)
• ORB breakout TOWARD unfilled gap: -10% confidence (gap fill may override ORB)
[b>📈 VWAP & INSTITUTIONAL BIAS [/b>
[b>Volume-Weighted Average Price (VWAP): [/b>
Average price weighted by volume at each price level. Represents true "average" cost for the day.
[b>Calculation: Institutional Benchmark [/b>: Institutions (mutual funds, pension funds) use VWAP as performance benchmark. If they buy above VWAP, they underperformed; below VWAP, they outperformed.
2. [b>Algorithmic Target [/b>: Many algos are programmed to buy below VWAP and sell above VWAP to achieve "fair" execution.
3. [b>Support/Resistance [/b>: VWAP acts as dynamic support (price above) or resistance (price below).
[b>VWAP Bands (Standard Deviations): [/b>
• [b>1σ Band [/b>: VWAP ± 1 standard deviation
- Contains ~68% of volume
- Normal trading range
- Bounces common
• [b>2σ Band [/b>: VWAP ± 2 standard deviations
- Contains ~95% of volume
- Extreme extension
- Mean reversion likely
ORB + VWAP Confluence: [/b>
Highest-probability setups occur when ORB and VWAP align:
Bullish Confluence: [/b>
• ORB breakout upward (bullish signal)
• Price above VWAP (institutional buying)
• Confidence boost: +15%
Bearish Confluence: [/b>
• ORB breakout downward (bearish signal)
• Price below VWAP (institutional selling)
• Confidence boost: +15%
[b>Divergence Warning:
• ORB breakout upward BUT price below VWAP
• Conflict: Breakout says "buy," VWAP says "sell"
• Confidence penalty: -10%
• Interpretation: Retail buying but institutions not participating (lower quality breakout)
📊 MOMENTUM CONTEXT SYSTEM
[b>Innovation: Candle Coloring by Position
Rather than fixed support/resistance lines, ORB Fusion colors candles based on their [b>relationship to ORB :
[b>Three Zones: [/b>
1. Inside ORB (Blue Boxes): [/b>
[b>Calculation:
• Darker blue: Near extremes of ORB (potential breakout imminent)
• Lighter blue: Near ORB mid (consolidation)
[b>Trading: [/b> Coiled spring—await breakout.
[b>2. Above ORB (Green Boxes):
[b>Calculation: 3. Below ORB (Red Boxes):
Mirror of above ORB logic.
[b>Special Contexts: [/b>
[b>Breakout Bar (Darkest Green/Red): [/b>
The specific bar where breakout occurs gets maximum color intensity regardless of distance. This highlights the pivotal moment.
[b>Failed Breakout Bar (Orange/Warning): [/b>
When failed breakout is confirmed, that bar gets orange/warning color. Visual alert: "reversal opportunity here."
[b>Near Extension (Cyan/Magenta Tint): [/b>
When price is within 0.5 ATR of an extension level, candle gets tinted cyan (bull) or magenta (bear). Indicates "target approaching—prepare to take profit."
[b>Why Visual Context? [/b>
Traditional indicators show lines. ORB Fusion shows [b>context-aware momentum [/b>. Glance at chart:
• Lots of blue? Consolidation day (fade extremes).
• Progressive green? Trend day (follow).
• Green then orange? Failed breakout (reversal setup).
This visual language communicates market state instantly—no interpretation needed.
🎯 TRADE SETUP GENERATION & GRADING [/b>
[b>Algorithmic Setup Detection: [/b>
ORB Fusion continuously evaluates market state and generates current best trade setup with:
• Action (LONG / SHORT / FADE HIGH / FADE LOW / WAIT)
• Entry price
• Stop loss
• Three targets
• Risk:Reward ratio
• Confidence score (0-100)
• Grade (A+ to D)
[b>Setup Types: [/b>
[b>1. ORB LONG (Bullish Breakout): [/b>
[b>Trigger: [/b>
• Bullish ORB breakout confirmed
• Not failed
[b>Parameters:
• Entry: Current close
• Stop: ORB mid (protects against failure)
• T1: ORB High + 0.5x range (1.5x extension)
• T2: ORB High + 1.0x range (2.0x extension)
• T3: ORB High + 1.618x range (2.618x extension)
[b>Confidence Scoring:
[b>Trigger: [/b>
• Bearish breakout occurred
• Failed (returned inside ORB)
[b>Parameters: [/b>
• Entry: Close when failure confirmed
• Stop: Extreme low since breakout + 0.10 ATR
• T1: ORB Low + 0.5x range
• T2: ORB Low + 1.0x range (ORB mid)
• T3: ORB Low + 1.5x range
[b>Confidence Scoring:
[b>Trigger:
• Inside ORB
• Close > ORB mid (near high)
[b>Parameters: [/b>
• Entry: ORB High (limit order)
• Stop: ORB High + 0.2x range
• T1: ORB Mid
• T2: ORB Low
[b>Confidence Scoring: [/b>
Base: 40 points (lower base—range fading is lower probability than breakout/reversal)
[b>Use Case: [/b> Rotation days. Not recommended on normal/trend days.
[b>6. FADE LOW (Range Trade):
Mirror of FADE HIGH.
[b>7. WAIT:
[b>Trigger: [/b>
• ORB not complete yet OR
• No clear setup (price in no-man's-land)
[b>Action: [/b> Observe, don't trade.
[b>Confidence: [/b> 0 points
[b>Grading System:
```
Confidence → Grade
85-100 → A+
75-84 → A
65-74 → B+
55-64 → B
45-54 → C
0-44 → D
```
[b>Grade Interpretation: [/b>
• [b>A+ / A: High probability setup. Take these trades.
• [b>B+ / B [/b>: Decent setup. Trade if fits system rules.
• [b>C [/b>: Marginal setup. Only if very experienced.
• [b>D [/b>: Poor setup or no setup. Don't trade.
[b>Example Scenario: [/b>
ES futures:
• ORB: 5842-5850 (8 point range)
• Bullish breakout to 5851 confirmed
• Volume: 2.0x average (confirmed)
• VWAP: 5845 (price above VWAP ✓)
• Day type: Developing (too early, no bonus)
• Gap: None
[b>Setup: [/b>
• Action: LONG
• Entry: 5851
• Stop: 5846 (ORB mid, -5 point risk)
• T1: 5854 (+3 points, 1:0.6 R:R)
• T2: 5858 (+7 points, 1:1.4 R:R)
• T3: 5862.94 (+11.94 points, 1:2.4 R:R)
[b>Confidence: LONG with 55% confidence.
Interpretation: Solid setup, not perfect. Trade it if your system allows B-grade signals.
[b>📊 STATISTICS TRACKING & PERFORMANCE ANALYSIS [/b>
[b>Real-Time Performance Metrics: [/b>
ORB Fusion tracks comprehensive statistics over user-defined lookback (default 50 days):
[b>Breakout Performance: [/b>
• [b>Bull Breakouts: [/b> Total count, wins, losses, win rate
• [b>Bear Breakouts: [/b> Total count, wins, losses, win rate
[b>Win Definition: [/b> Breakout reaches ≥1.0x extension (doubles the opening range) before end of day.
[b>Example: [/b>
• ORB: 5842-5850 (8 points)
• Bull breakout at 5851
• Reaches 5858 (1.0x extension) by close
• Result: WIN
[b>Failed Breakout Performance: [/b>
• [b>Total Failed Breakouts [/b>: Count of breakouts that failed
• [b>Reversal Wins [/b>: Count where reversal trade reached target
• [b>Failed Reversal Win Rate [/b>: Wins / Total Failed
[b>Win Definition for Reversals: [/b>
• Failed bull → reversal short reaches ORB mid
• Failed bear → reversal long reaches ORB mid
[b>Extension Tracking: [/b>
• [b>Average Extension Reached [/b>: Mean of maximum extension achieved across all breakout days
• [b>Max Extension Overall [/b>: Largest extension ever achieved in lookback period
[b>Example: 🎨 THREE DISPLAY MODES
[b>Design Philosophy: [/b>
Not all traders need all features. Beginners want simplicity. Professionals want everything. ORB Fusion adapts.
[b>SIMPLE MODE: [/b>
[b>Shows: [/b>
• Primary ORB levels (High, Mid, Low)
• ORB box
• Breakout signals (triangles)
• Failed breakout signals (crosses)
• Basic dashboard (ORB status, breakout status, setup)
• VWAP
[b>Hides: [/b>
• Session ORBs (Asian, London, NY)
• IB levels and extensions
• ORB extensions beyond basic levels
• Gap analysis visuals
• Statistics dashboard
• Momentum candle coloring
• Narrative dashboard
[b>Use Case: [/b>
• Traders who want clean chart
• Focus on core ORB concept only
• Mobile trading (less screen space)
[b>STANDARD MODE:
[b>Shows Everything in Simple Plus: [/b>
• Session ORBs (Asian, London, NY)
• IB levels (high, low, mid)
• IB extensions
• ORB extensions (1.272x, 1.5x, 1.618x, 2.0x)
• Gap analysis and fill targets
• VWAP bands (1σ and 2σ)
• Momentum candle coloring
• Context section in dashboard
• Narrative dashboard
[b>Hides: [/b>
• Advanced extensions (2.618x, 3.0x)
• Detailed statistics dashboard
[b>Use Case: [/b>
• Most traders
• Balance between information and clarity
• Covers 90% of use cases
[b>ADVANCED MODE:
[b>Shows Everything:
• All session ORBs
• All IB levels and extensions
• All ORB extensions (including 2.618x and 3.0x)
• Full gap analysis
• VWAP with both 1σ and 2σ bands
• Momentum candle coloring
• Complete statistics dashboard
• Narrative dashboard
• All context metrics
[b>Use Case: [/b>
• Professional traders
• System developers
• Those who want maximum information density
[b>Switching Modes: [/b>
Single dropdown input: "Display Mode" → Simple / Standard / Advanced
Entire indicator adapts instantly. No need to toggle 20 individual settings.
📖 NARRATIVE DASHBOARD
[b>Innovation: Plain-English Market State [/b>
Most indicators show data. ORB Fusion explains what the data [b>means [/b>.
[b>Narrative Components: [/b>
[b>1. Phase: [/b>
• "📍 Building ORB..." (during ORB session)
• "📊 Trading Phase" (after ORB complete)
• "⏳ Pre-Market" (before ORB session)
[b>2. Status (Current Observation): [/b>
• "⚠️ Failed breakout - reversal likely"
• "🚀 Bullish momentum in play"
• "📉 Bearish momentum in play"
• "⚖️ Consolidating in range"
• "👀 Monitoring for setup"
[b>3. Next Level:
Tells you what to watch for:
• "🎯 1.5x @ 5854.00" (next extension target)
• "Watch ORB levels" (inside range, await breakout)
[b>4. Setup: [/b>
Current trade setup + grade:
• "LONG " (bullish breakout, A-grade)
• "🔥 SHORT REVERSAL " (failed bull breakout, A+-grade)
• "WAIT " (no setup)
[b>5. Reason: [/b>
Why this setup exists:
• "ORB Bullish Breakout"
• "Failed Bear Breakout - High Probability Reversal"
• "Range Fade - Near High"
[b>6. Tip (Market Insight):
Contextual advice:
• "🔥 TREND DAY - Trail stops" (day type is trending)
• "🔄 ROTATION - Fade extremes" (day type is rotating)
• "📊 Gap unfilled - magnet level" (gap creates target)
• "📈 Normal conditions" (no special context)
[b>Example Narrative:
```
📖 ORB Narrative
━━━━━━━━━━━━━━━━
Phase | 📊 Trading Phase
Status | 🚀 Bullish momentum in play
Next | 🎯 1.5x @ 5854.00
📈 Setup | LONG
Reason | ORB Bullish Breakout
💡 Tip | 🔥 TREND DAY - Trail stops
```
[b>Glance Interpretation: [/b>
"We're in trading phase. Bullish breakout happened (momentum in play). Next target is 1.5x extension at 5854. Current setup is LONG with A-grade. It's a trend day, so trail stops (don't take early profits)."
Complete market state communicated in 6 lines. No interpretation needed.
[b>Why This Matters:
Beginner traders struggle with "So what?" question. Indicators show lines and signals, but what does it mean [/b>? Narrative dashboard bridges this gap.
Professional traders benefit too—rapid context assessment during fast-moving markets. No time to analyze; glance at narrative, get action plan.
🔔 INTELLIGENT ALERT SYSTEM
[b>Four Alert Types: [/b>
[b>1. Breakout Alert: [/b>
[b>Trigger: [/b> ORB breakout confirmed (bull or bear)
[b>Message: [/b>
```
🚀 ORB BULLISH BREAKOUT
Price: 5851.00
Volume Confirmed
Grade: A
```
[b>Frequency: [/b> Once per bar (prevents spam)
[b>2. Failed Breakout Alert: [/b>
[b>Trigger: [/b> Breakout fails, reversal setup generated
[b>Message: [/b>
```
🔥 FAILED BULLISH BREAKOUT!
HIGH PROBABILITY SHORT REVERSAL
Entry: 5848.00
Stop: 5854.00
T1: 5846.00
T2: 5842.00
Historical Win Rate: 73%
```
[b>Why Comprehensive? [/b> Failed breakout alerts include complete trade plan. You can execute immediately from alert—no need to check chart.
[b>3. Extension Alert:
[b>Trigger: [/b> Price reaches extension level for first time
[b>Message: [/b>
```
🎯 Bull Extension 1.5x reached @ 5854.00
```
[b>Use: [/b> Profit-taking reminder. When extension hit, consider scaling out.
[b>4. IB Break Alert: [/b>
[b>Trigger: [/b> Price breaks above IB high or below IB low
[b>Message: [/b>
```
📊 IB HIGH BROKEN - Potential Trend Day
```
[b>Use: [/b> Day type classification. IB break suggests trend day developing—adjust strategy to trend-following mode.
[b>Alert Management: [/b>
Each alert type can be enabled/disabled independently. Prevents notification overload.
[b>Cooldown Logic: [/b>
Alerts won't fire if same alert type triggered within last bar. Prevents:
• "Breakout" alert every tick during choppy breakout
• Multiple "extension" alerts if price oscillates at level
Ensures: One clean alert per event.
⚙️ KEY PARAMETERS EXPLAINED
[b>Opening Range Settings: [/b>
• [b>ORB Timeframe [/b> (5/15/30/60 min): Duration of opening range window
- 30 min recommended for most traders
• [b>Use RTH Only [/b> (ON/OFF): Only trade during regular trading hours
- ON recommended (avoids thin overnight markets)
• [b>Use LTF Precision [/b> (ON/OFF): Sample 1-minute bars for accuracy
- ON recommended (critical for charts >1 minute)
• [b>Precision TF [/b> (1/5 min): Timeframe for LTF sampling
- 1 min recommended (most accurate)
[b>Session ORBs: [/b>
• [b>Show Asian/London/NY ORB [/b> (ON/OFF): Display multi-session ranges
- OFF in Simple mode
- ON in Standard/Advanced if trading 24hr markets
• [b>Session Windows [/b>: Time ranges for each session ORB
- Defaults align with major session opens
[b>Initial Balance: [/b>
• [b>Show IB [/b> (ON/OFF): Display Initial Balance levels
- ON recommended for day type classification
• [b>IB Session Window [/b> (0930-1030): First hour of trading
- Default is standard for US equities
• [b>Show IB Extensions [/b> (ON/OFF): Project IB extension targets
- ON recommended (identifies trend days)
• [b>IB Extensions 1-4 [/b> (0.5x, 1.0x, 1.5x, 2.0x): Extension multipliers
- Defaults are Market Profile standard
[b>ORB Extensions: [/b>
• [b>Show Extensions [/b> (ON/OFF): Project ORB extension targets
- ON recommended (defines profit targets)
• [b>Enable Individual Extensions [/b> (1.272x, 1.5x, 1.618x, 2.0x, 2.618x, 3.0x)
- Enable 1.272x, 1.5x, 1.618x, 2.0x minimum
- Disable 2.618x and 3.0x unless trading very volatile instruments
[b>Breakout Detection:
• [b>Confirmation Method [/b> (Close/Wick/Body):
- Close recommended (best balance)
- Wick for scalping
- Body for conservative
• [b>Require Volume Confirmation [/b> (ON/OFF):
- ON recommended (increases reliability)
• [b>Volume Multiplier [/b> (1.0-3.0):
- 1.5x recommended
- Lower for thin instruments
- Higher for heavy volume instruments
[b>Failed Breakout System: [/b>
• [b>Enable Failed Breakouts [/b> (ON/OFF):
- ON strongly recommended (highest edge)
• [b>Bars to Confirm Failure [/b> (2-10):
- 3 bars recommended
- 2 for aggressive (more signals, more false failures)
- 5+ for conservative (fewer signals, higher quality)
• [b>Failure Buffer [/b> (0.0-0.5 ATR):
- 0.1 ATR recommended
- Filters noise during consolidation near ORB level
• [b>Show Reversal Targets [/b> (ON/OFF):
- ON recommended (visualizes trade plan)
• [b>Reversal Target Mults [/b> (0.5x, 1.0x, 1.5x):
- Defaults are tested values
- Adjust based on average daily range
[b>Gap Analysis:
• [b>Show Gap Analysis [/b> (ON/OFF):
- ON if trading instruments that gap frequently
- OFF for 24hr markets (forex, crypto—no gaps)
• [b>Gap Fill Target [/b> (ON/OFF):
- ON to visualize previous close (gap fill level)
[b>VWAP:
• [b>Show VWAP [/b> (ON/OFF):
- ON recommended (key institutional level)
• [b>Show VWAP Bands [/b> (ON/OFF):
- ON in Standard/Advanced
- OFF in Simple
• [b>Band Multipliers (1.0σ, 2.0σ):
- Defaults are standard
- 1σ = normal range, 2σ = extreme
[b>Day Type: [/b>
• [b>Show Day Type Analysis [/b> (ON/OFF):
- ON recommended (critical for strategy adaptation)
• [b>Trend Day Threshold [/b> (1.0-2.5 IB mult):
- 1.5x recommended
- When price extends >1.5x IB, classifies as Trend Day
[b>Enhanced Visuals:
• [b>Show Momentum Candles [/b> (ON/OFF):
- ON for visual context
- OFF if chart gets too colorful
• [b>Show Gradient Zone Fills [/b> (ON/OFF):
- ON for professional look
- OFF for minimalist chart
• [b>Label Display Mode [/b> (All/Adaptive/Minimal):
- Adaptive recommended (shows nearby labels only)
- All for information density
- Minimal for clean chart
• [b>Label Proximity [/b> (1.0-5.0 ATR):
- 3.0 ATR recommended
- Labels beyond this distance are hidden (Adaptive mode)
[b>🎓 PROFESSIONAL USAGE PROTOCOL [/b>
[b>Phase 1: Learning the System (Week 1) [/b>
[b>Goal: [/b> Understand ORB concepts and dashboard interpretation
[b>Setup: [/b>
• Display Mode: STANDARD
• ORB Timeframe: 30 minutes
• Enable ALL features (IB, extensions, failed breakouts, VWAP, gap analysis)
• Enable statistics tracking
[b>Actions: [/b>
• Paper trade ONLY—no real money
• Observe ORB formation every day (9:30-10:00 AM ET for US markets)
• Note when ORB breakouts occur and if they extend
• Note when breakouts fail and reversals happen
• Watch day type classification evolve during session
• Track statistics—which setups are working?
[b>Key Learning: [/b>
• How often do breakouts reach 1.5x extension? (typically 50-60% of confirmed breakouts)
• How often do breakouts fail? (typically 30-40%)
• Which setup grade (A/B/C) actually performs best? (should see A-grade outperforming)
• What day type produces best results? (trend days favor breakouts, rotation days favor fades)
[b>Phase 2: Parameter Optimization (Week 2) [/b>
[b>Goal: [/b> Tune system to your instrument and timeframe
[b>ORB Timeframe Selection:
• Run 5 days with 15-minute ORB
• Run 5 days with 30-minute ORB
• Compare: Which captures better breakouts on your instrument?
• Typically: 30-minute optimal for most, 15-minute for very liquid (ES, SPY)
[b>Volume Confirmation Testing:
• Run 5 days WITH volume confirmation
• Run 5 days WITHOUT volume confirmation
• Compare: Does volume confirmation increase win rate?
• If win rate improves by >5%: Keep volume confirmation ON
• If no improvement: Turn OFF (avoid missing valid breakouts)
[b>Failed Breakout Bars:
[b>Goal: [/b> Develop personal trading rules based on system signals
[b>Setup Selection Rules: [/b>
Define which setups you'll trade:
• [b>Conservative: [/b> Only A+ and A grades
• [b>Balanced: [/b> A+, A, B+ grades
• [b>Aggressive: [/b> All grades B and above
Test each approach for 5-10 trades, compare results.
[b>Position Sizing by Grade: [/b>
Consider risk-weighting by setup quality:
• A+ grade: 100% position size
• A grade: 75% position size
• B+ grade: 50% position size
• B grade: 25% position size
Example: If max risk is $1000/trade:
• A+ setup: Risk $1000
• A setup: Risk $750
• B+ setup: Risk $500
This matches bet sizing to edge.
[b>Day Type Adaptation: [/b>
Create rules for different day types:
Trend Days:
• Take ALL breakout signals (A/B/C grades)
• Hold for 2.0x extension minimum
• Trail stops aggressively (1.0 ATR trail)
• DON'T fade—reversals unlikely
Rotation Days:
• ONLY take failed breakout reversals
• Ignore initial breakout signals (likely to fail)
• Take profits quickly (0.5x extension)
• Focus on fade setups (Fade High/Fade Low)
Normal Days:
• Take A/A+ breakout signals only
• Take ALL failed breakout reversals (high probability)
• Target 1.0-1.5x extensions
• Partial profit-taking at extensions
Time-of-Day Rules: [/b>
Breakouts at different times have different probabilities:
10:00-10:30 AM (Early Breakout):
• ORB just completed
• Fresh breakout
• Probability: Moderate (50-55% reach 1.0x)
• Strategy: Conservative position sizing
10:30-12:00 PM (Mid-Morning):
• Momentum established
• Volume still healthy
• Probability: High (60-65% reach 1.0x)
• Strategy: Standard position sizing
12:00-2:00 PM (Lunch Doldrums):
• Volume dries up
• Whipsaw risk increases
• Probability: Low (40-45% reach 1.0x)
• Strategy: Avoid new entries OR reduce size 50%
2:00-4:00 PM (Afternoon Session):
• Late-day positioning
• EOD squeezes possible
• Probability: Moderate-High (55-60%)
• Strategy: Watch for IB break—if trending all day, follow
[b>Phase 4: Live Micro-Sizing (Month 2) [/b>
[b>Goal: [/b> Validate paper trading results with minimal risk
[b>Setup: [/b>
• 10-20% of intended full position size
• Take ONLY A+ and A grade setups
• Follow stop loss and targets religiously
[b>Execution: [/b>
• Execute from alerts OR from dashboard setup box
• Entry: Close of signal bar OR next bar market order
• Stop: Use exact stop from setup (don't widen)
• Targets: Scale out at T1/T2/T3 as indicated
[b>Tracking: [/b>
• Log every trade: Entry, Exit, Grade, Outcome, Day Type
• Calculate: Win rate, Average R-multiple, Max consecutive losses
• Compare to paper trading results (should be within 15%)
[b>Red Flags: [/b>
• Win rate <45%: System not suitable for this instrument/timeframe
• Major divergence from paper trading: Execution issues (slippage, late entries, emotional exits)
• Max consecutive losses >8: Hitting rough patch OR market regime changed
[b>Phase 5: Scaling Up (Months 3-6)
[b>Goal: [/b> Gradually increase to full position size
[b>Progression: [/b>
• Month 3: 25-40% size (if micro-sizing profitable)
• Month 4: 40-60% size
• Month 5: 60-80% size
• Month 6: 80-100% size
[b>Milestones Required to Scale Up: [/b>
• Minimum 30 trades at current size
• Win rate ≥48%
• Profit factor ≥1.2
• Max drawdown <20%
• Emotional control (no revenge trading, no FOMO)
[b>Advanced Techniques:
[b>Multi-Timeframe ORB: Assumes first 30-60 minutes establish value. Violation: Market opens after major news, price discovery continues for hours (opening range meaningless).
2. [b>Volume Indicates Conviction: ES, NQ, RTY, SPY, QQQ—high liquidity, clean ORB formation, reliable extensions
• [b>Large-Cap Stocks: AAPL, MSFT, TSLA, NVDA (>$5B market cap, >5M daily volume)
• [b>Liquid Futures: CL (crude oil), GC (gold), 6E (EUR/USD), ZB (bonds)—24hr markets benefit from session ORBs
• [b>Major Forex Pairs: [/b> EUR/USD, GBP/USD, USD/JPY—London/NY session ORBs work well
[b>Performs Poorly On: [/b>
• [b>Illiquid Stocks: <$1M daily volume, wide spreads, gappy price action
• [b>Penny Stocks: [/b> Manipulated, pump-and-dump, no real price discovery
• [b>Low-Volume ETFs: Exotic sector ETFs, leveraged products with thin volume
• [b>Crypto on Sketchy Exchanges: Wash trading, spoofing invalidates volume analysis
• [b>Earnings Days: [/b> ORB completes before earnings release, then completely resets (useless)
• Binary Event Days: FDA approvals, court rulings—discontinuous price action
[b>Known Weaknesses: [/b>
• [b>Slow Starts: ORB doesn't complete until 10:00 AM (30-min ORB). Early morning traders have no signals for 30 minutes. Consider using 15-minute ORB if this is problematic.
• [b>Failure Detection Lag: [/b> Failed breakout requires 3+ bars to confirm. By the time system signals reversal, price may have already moved significantly back inside range. Manual traders watching in real-time can enter earlier.
• [b>Extension Overshoot: [/b> System projects extensions mathematically (1.5x, 2.0x, etc.). Actual moves may stop short (1.3x) or overshoot (2.2x). Extensions are targets, not magnets.
• [b>Day Type Misclassification: [/b> Early in session, day type is "Developing." By the time it's classified definitively (often 11:00 AM+), half the day is over. Strategy adjustments happen late.
• [b>Gap Assumptions: [/b> System assumes gaps want to fill. Strong trend days never fill gaps (gap becomes support/resistance forever). Blindly trading toward gaps can backfire on trend days.
• [b>Volume Data Quality: Forex doesn't have centralized volume (uses tick volume as proxy—less reliable). Crypto volume is often fake (wash trading). Volume confirmation less effective on these instruments.
• [b>Multi-Session Complexity: [/b> When using Asian/London/NY ORBs simultaneously, chart becomes cluttered. Requires discipline to focus on relevant session for current time.
[b>Risk Factors: [/b>
• [b>Opening Gaps: Large gaps (>2%) can create distorted ORBs. Opening range might be unusually wide or narrow, making extensions unreliable.
• [b>Low Volatility Environments:[/b> When VIX <12, opening ranges can be tiny (0.2-0.3%). Extensions are equally tiny. Profit targets don't justify commission/slippage.
• [b>High Volatility Environments:[/b> When VIX >30, opening ranges are huge (2-3%+). Extensions project unrealistic targets. Failed breakouts happen faster (volatility whipsaw).
• [b>Algorithm Dominance:[/b> In heavily algorithmic markets (ES during overnight session), ORB levels can be manipulated—algos pin price to ORB high/low intentionally. Breakouts become stop-runs rather than genuine directional moves.
[b>⚠️ RISK DISCLOSURE[/b>
Trading futures, stocks, options, forex, and cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Opening Range Breakout strategies, while based on sound market structure principles, do not guarantee profits and can result in significant losses.
The ORB Fusion indicator implements professional trading concepts including Opening Range theory, Market Profile Initial Balance analysis, Fibonacci extensions, and failed breakout reversal logic. These methodologies have theoretical foundations but past performance—whether backtested or live—is not indicative of future results.
Opening Range theory assumes the first 30-60 minutes of trading establish a meaningful value area and that breakouts from this range signal directional conviction. This assumption may not hold during:
• Major news events (FOMC, NFP, earnings surprises)
• Market structure changes (circuit breakers, trading halts)
• Low liquidity periods (holidays, early closures)
• Algorithmic manipulation or spoofing
Failed breakout detection relies on patterns of trapped participant behavior. While historically these patterns have shown statistical edges, market conditions change. Institutional algorithms, changing market structure, or regime shifts can reduce or eliminate edges that existed historically.
Initial Balance classification (trend day vs rotation day vs normal day) is a heuristic framework, not a deterministic prediction. Day type can change mid-session. Early classification may prove incorrect as the day develops.
Extension projections (1.272x, 1.5x, 1.618x, 2.0x, etc.) are probabilistic targets derived from Fibonacci ratios and empirical market behavior. They are not "support and resistance levels" that price must reach or respect. Markets can stop short of extensions, overshoot them, or ignore them entirely.
Volume confirmation assumes high volume indicates institutional participation and conviction. In algorithmic markets, volume can be artificially high (HFT activity) or artificially low (dark pools, internalization). Volume is a proxy, not a guarantee of conviction.
LTF precision sampling improves ORB accuracy by using 1-minute bars but introduces additional data dependencies. If 1-minute data is unavailable, inaccurate, or delayed, ORB calculations will be incorrect.
The grading system (A+/A/B+/B/C/D) and confidence scores aggregate multiple factors (volume, VWAP, day type, IB expansion, gap context) into a single assessment. This is a mechanical calculation, not artificial intelligence. The system cannot adapt to unprecedented market conditions or events outside its programmed logic.
Real trading involves slippage, commissions, latency, partial fills, and rejected orders not present in indicator calculations. ORB Fusion generates signals at bar close; actual fills occur with delay. Opening range forms during highest volatility (first 30 minutes)—spreads widen, slippage increases. Execution quality significantly impacts realized results.
Statistics tracking (win rates, extension levels reached, day type distribution) is based on historical bars in your lookback window. If lookback is small (<50 bars) or market regime changed, statistics may not represent future probabilities.
Users must independently validate system performance on their specific instruments, timeframes, and broker execution environment. Paper trade extensively (100+ trades minimum) before risking capital. Start with micro position sizing (5-10% of intended size) for 50+ trades to validate execution quality matches expectations.
Never risk more than you can afford to lose completely. Use proper position sizing (0.5-2% risk per trade maximum). Implement stop losses on every single trade without exception. Understand that most retail traders lose money—sophisticated indicators do not change this fundamental reality. They systematize analysis but cannot eliminate risk.
The developer makes no warranties regarding profitability, suitability, accuracy, reliability, or fitness for any purpose. Users assume full responsibility for all trading decisions, parameter selections, risk management, and outcomes.
By using this indicator, you acknowledge that you have read, understood, and accepted these risk disclosures and limitations, and you accept full responsibility for all trading activity and potential losses.
[b>═══════════════════════════════════════════════════════════════════════════════[/b>
[b>CLOSING STATEMENT[/b>
[b>═══════════════════════════════════════════════════════════════════════════════[/b>
Opening Range Breakout is not a trick. It's a framework. The first 30-60 minutes reveal where participants believe value lies. Breakouts signal directional conviction. Failures signal trapped participants. Extensions define profit targets. Day types dictate strategy. Failed breakouts create the highest-probability reversals.
ORB Fusion doesn't predict the future—it identifies [b>structure[/b>, detects [b>breakouts[/b>, recognizes [b>failures[/b>, and generates [b>probabilistic trade plans[/b> with defined risk and reward.
The edge is not in the opening range itself. The edge is in recognizing when the market respects structure (follow breakouts) versus when it violates structure (fade breakouts). The edge is in detecting failures faster than discretionary traders. The edge is in systematic classification that prevents catastrophic errors—like fading a trend day or holding through rotation.
Most indicators draw lines. ORB Fusion implements a complete institutional trading methodology: Opening Range theory, Market Profile classification, failed breakout intelligence, Fibonacci projections, volume confirmation, gap psychology, and real-time performance tracking.
Whether you're a beginner learning market structure or a professional seeking systematic ORB implementation, this system provides the framework.
"The market's first word is its opening range. Everything after is commentary." — ORB Fusion
Buying Opportunity Score V2.1Overview
A composite scoring system (0-100) that identifies high-probability buying opportunities during market pullbacks. Validated through backtesting on SPY from 2010-2024.
How It Works
The indicator combines multiple fear and oversold signals into a single actionable score. When fear is elevated and the market is oversold, the score rises. Higher scores historically correlate with better forward returns.
Scoring Components
VIX Level (30 pts) - Market fear gauge
Drawdown (30 pts) - Distance from 52-week high
RSI 14 (12 pts) - Oversold confirmation
Bollinger Band (13 pts) - Statistical extreme
VIX Timing (15 pts) - Bonus when VIX declining from peak
Signal Levels
80+ = STRONG BUY (high conviction)
70-79 = BUY (consider entry)
60-69 = WATCH (monitor closely)
Below 60 = No signal
Backtest Results (SPY, 2010-2024)
70+ Signals: 85% win rate, 7.5% average 20-day return
80+ Signals: 100% win rate, 14% average 20-day return
Features
Statistics table showing 1Y, 3Y, 5Y rolling performance
Signal markers (green triangles) on buy signals
Outcome labels showing WIN/LOSS after measurement period
Multiple alert options
Works on SPY, QQQ, IWM (use VIX for all)
How To Use
Add to SPY, QQQ, or IWM (daily timeframe)
Wait for score to reach 70+ or 80+
Green triangle marks signal day
Check statistics table for recent performance
Set alerts for notifications
Alerts Available
STRONG BUY Signal (80+)
BUY Signal (70+)
Moderate Signal (60+)
Score Crossed 80/70
Score Dropped Below 70
Important Notes
Designed for daily timeframe on broad market ETFs
Signals confirm at end of day (bar close)
Statistics table shows rolling windows based on loaded data
Past performance does not guarantee future results
Selected Days Indicator V3-TrDoes the stock drop every Wednesday? Do March months always move similarly? Does the 1st week of the month behave differently?
Do you ever say "it always makes this move in these months"? Don't you want to see more clearly whether it actually makes this move or not? Don't you want to see and test periodically repeating price patterns?
Hisse her Çarşamba düşüyor mu? Mart ayları hep benzer mi hareket ediyor? Ayın 1. haftası farklı mı davranıyor?
Bazen "bu aylarda hep bu hareketi yapıyor" dediğiniz oluyor mu? Gerçekten de bu hareketi yapıp yapmadığını daha net görmek istemez misiniz? Periyodik tekrarlayan fiyat kalıplarını görmek ve test etmek istemiyor musunuz?
1. Problem
Some stocks or crypto assets exhibit systematic behaviors on certain days, weeks, or months. But it's hard to see - everything is mixed together on the chart. This indicator isolates the days/weeks/months you want and shows only them. Hides everything else.
2. How It Works
Three-layer filter: Day (Monday, Tuesday...), Week (1st, 2nd, 3rd week of the month), Month (January, February...). Select what you want, let the rest disappear. Example: Show only Thursdays of March-June-September. Or compare every 1st week of the month. View as candlestick, line, or column chart.
3. What's It Good For?
Test "end-of-month effect". Find "day-of-the-week anomaly". Analyze crypto volatility by days. See seasonality in commodities. Discover patterns specific to your own strategy. Past data doesn't guarantee the future but provides statistical advantage.
[AlscapeLabs] HTF Candle Stack (Multi-Timeframe)
Overview
The HTF Candle Stack (Multi-TF) indicator is a powerful visualization tool designed to overlay high-timeframe (HTF) price action directly onto your current chart, independent of the chart's price scale. This gives traders a clear, aligned, and non-overlapping view of simultaneous price movements across customizable timeframes.
By stacking the candles horizontally next to the chart's price action, the indicator allows for quick identification of multi-timeframe correlation, trend confluence, and key levels without switching chart timeframes.
Key Features
6 Independent Stacks: Configure up to 6 separate timeframes (e.g., 5m, 15m, 1H, 4H, Daily, Weekly) to view the complete market fractals from micro to macro.
Price-Aligned Visualization : All HTF candle stacks are perfectly aligned with the main chart's vertical price axis
Replay Mode Safe : Includes dedicated logic to prevent "duplicate candles" during Bar Replay, ensuring accurate backtesting and historical analysis.
Toggleable Stacks : Each stack can be individually enabled or disabled via input settings
Dynamic Spacing : The distance between active stacks is automatically calculated and adjusted based on the visibility of the preceding stack.
Settings Guide
Stack Configuration (1 - 6)
Each of the six stacks has identical controls:
Show/Hide : Enable or disable this specific stack.
Timeframe : The specific HTF to display (e.g., "60" for 1 Hour, "D" for Daily).
[*} Count : How many candles to show in this stack (Current Active Candle + Past Closed Candles). Tip: Use higher counts (10-12) for lower TFs (Stack 1-2) and lower counts (2-4) for higher TFs (Stack 5-6)
Candle Color
Controls global coloring
Bullish / Bearish : Customize the body colors.
Wick : Separate control for wick color and transparency
Layout
Distance from Chart : How far (in bars) to the right the first stack begins
Space between Stacks : The gap (in bars) between each active stack.
Candle Width : The thickness of the HTF candles.
Labels
Displays a time-frame next to the active (live) candle in each stack
Show TF Labels : Enable or disable labels through all stacks
Text Color : Label text color
Background : Label background color
Style : Label position (Left, Down)
Size : Label text size (Tiny, Small, Normal, Large, Huge)
Developed by AlscapeLabs
50% level of Daily RangeThe 50% or midpoint between the current days highest and lowest points be used to divide the premium and discount of the days range. Price often reacts at this point and it can be used as a target for reversal trades. This indicator plots the level as it moves through out each day so is useful for backtesting as well as determining whether the current price is in premium or discount.
Wyckoff Method - Comprehensive Analysis# WYCKOFF METHOD - QUICK REFERENCE CHEAT SHEET
## 🟢 STRONGEST BUY SIGNALS
### 1. SPRING ⭐⭐⭐⭐⭐
- **What:** False breakdown below support on LOW volume
- **Look for:** Quick reversal, close above support
- **Entry:** When price closes back in range
- **Stop:** Below spring low
- **Target:** Top of range minimum
### 2. SOS (Sign of Strength) ⭐⭐⭐⭐
- **What:** Breakout above resistance on HIGH volume
- **Look for:** Wide spread up bar, strong close
- **Entry:** On breakout or wait for LPS pullback
- **Stop:** Below range top
- **Target:** Height of range projected up
### 3. SHAKEOUT ⭐⭐⭐⭐
- **What:** Sharp move below support with HIGH volume, immediate reversal
- **Look for:** Long lower wick, closes strong
- **Entry:** When price reclaims support
- **Stop:** Below shakeout low
- **Target:** Previous resistance
---
## 🔴 STRONGEST SELL SIGNALS
### 1. UTAD (Upthrust After Distribution) ⭐⭐⭐⭐⭐
- **What:** False breakout above resistance, quick rejection
- **Look for:** Spike high, weak close, often high volume
- **Entry:** When price closes back in range
- **Stop:** Above UTAD high
- **Target:** Bottom of range minimum
### 2. SOW (Sign of Weakness) ⭐⭐⭐⭐
- **What:** Breakdown below support on HIGH volume
- **Look for:** Wide spread down bar, weak close
- **Entry:** On breakdown or wait for LPSY rally
- **Stop:** Above range bottom
- **Target:** Height of range projected down
### 3. UPTHRUST ⭐⭐⭐⭐
- **What:** Move above resistance on LOW volume, weak close
- **Look for:** Long upper wick, closes in lower half
- **Entry:** When resistance holds
- **Stop:** Above upthrust high
- **Target:** Support level
---
## 📊 ACCUMULATION PHASES (Bottom Formation)
```
PHASE A: Stopping the Downtrend
├─ PS (Preliminary Support) - First buying
├─ SC (Selling Climax) - Panic bottom ⚠️ KEY EVENT
├─ AR (Automatic Rally) - Relief bounce
└─ ST (Secondary Test) - Retest SC low
PHASE B: Building the Cause
├─ Trading range forms
├─ Multiple tests of support
├─ Volume decreasing
└─ Absorption occurring
PHASE C: The Test
├─ SPRING - False breakdown ⚠️ KEY EVENT
└─ TEST - Support holds on low volume
PHASE D: Dominance Emerges
├─ SOS - Breakout ⚠️ KEY EVENT
├─ LPS - Last Point of Support (pullback)
└─ BU - Backup
PHASE E: Markup
└─ New uptrend, strong momentum
```
**Background Color:** Blue → Green (getting brighter)
**Action:** Buy in Phase C/D, Hold through Phase E
---
## 📊 DISTRIBUTION PHASES (Top Formation)
```
PHASE A: Stopping the Uptrend
├─ PSY (Preliminary Supply) - First selling
├─ BC (Buying Climax) - Euphoric top ⚠️ KEY EVENT
├─ AR (Automatic Reaction) - Sharp drop
└─ ST (Secondary Test) - Retest BC high
PHASE B: Building the Cause
├─ Trading range forms
├─ Multiple tests of resistance
├─ Demand being absorbed
└─ Volume patterns change
PHASE C: The Test
└─ UTAD - False breakout ⚠️ KEY EVENT
PHASE D: Dominance Emerges
├─ SOW - Breakdown ⚠️ KEY EVENT
└─ LPSY - Last Point of Supply (rally to exit)
PHASE E: Markdown
└─ New downtrend, strong selling
```
**Background Color:** Orange → Red (getting darker)
**Action:** Sell in Phase C/D, Stay out during Phase E
---
## 💰 VOLUME SPREAD ANALYSIS (VSA)
| Signal | Meaning | Color | Implication |
|--------|---------|-------|-------------|
| **ND** (No Demand) | Up bar, LOW volume | 🟠 Orange | Weakness - uptrend ending |
| **NS** (No Supply) | Down bar, LOW volume | 🔵 Blue | Strength - downtrend ending |
| **SV** (Stopping Volume) | VERY HIGH volume, narrow spread | 🟣 Purple | Potential reversal |
| **UT** (Upthrust) | Above resistance, LOW vol, weak close | 🔴 Red | Sell signal |
| **SO** (Shakeout) | Below support, HIGH vol, strong close | 🟢 Green | Buy signal |
---
## 🎯 VOLUME INTERPRETATION
| Volume Level | Bar Color | Meaning |
|--------------|-----------|---------|
| **VERY HIGH** (>2x average) | Dark Green/Red | Climax, potential reversal |
| **HIGH** (>1.5x average) | Light Green/Red | Strong interest |
| **NORMAL** | Gray | Average trading |
| **LOW** (<0.7x average) | Faint Gray | Testing, no interest |
---
## ⚖️ EFFORT vs RESULT
| Scenario | Volume | Spread | Meaning |
|----------|--------|--------|---------|
| **High Effort, Low Result** | HIGH | Narrow | ⚠️ Potential reversal |
| **Low Effort, High Result** | LOW | Wide | ⚠️ Trend weakening |
| **High Effort, High Result** | HIGH | Wide | ✅ Strong trend |
| **Low Effort, Low Result** | LOW | Narrow | 😴 No interest |
---
## 📏 TRADING RULES
### ✅ DO:
- ✅ Wait for confirmation before entering
- ✅ Trade in direction of higher timeframe
- ✅ Use springs and UTAD as primary signals
- ✅ Measure trading range for targets
- ✅ Place stops outside the range
- ✅ Look for volume confirmation
- ✅ Check multiple timeframes
- ✅ Focus on Phase C and D events
### ❌ DON'T:
- ❌ Buy during Phase E Markdown
- ❌ Sell during Phase E Markup
- ❌ Trade against major trend
- ❌ Ignore volume signals
- ❌ Enter without clear stop loss
- ❌ Trade every signal
- ❌ Use on very low timeframes without practice
- ❌ Ignore the context
---
## 🎪 COMPOSITE OPERATOR (Smart Money)
### 💰 Green Money Symbol (Bottom)
- **Meaning:** Institutions accumulating
- **Location:** Demand zones, springs, tests
- **Action:** Follow the smart money - buy
### 💰 Red Money Symbol (Top)
- **Meaning:** Institutions distributing
- **Location:** Supply zones, UTAD, weak rallies
- **Action:** Follow the smart money - sell
---
## 📍 SUPPLY & DEMAND ZONES
### 🟢 Demand Zones (Green Boxes)
- **Created at:** SC, Spring, Shakeout
- **Represents:** Where smart money bought
- **Action:** Look for bounces
### 🔴 Supply Zones (Red Boxes)
- **Created at:** BC, UTAD, Upthrust
- **Represents:** Where smart money sold
- **Action:** Look for rejections
---
## 🎯 TARGET CALCULATION
### Measured Move Method
```
1. Measure trading range height
Example: Top at 120, Bottom at 100 = 20 points
2. Add to breakout point (accumulation)
Breakout at 120 + 20 = Target: 140
3. Or subtract from breakdown (distribution)
Breakdown at 100 - 20 = Target: 80
```
### Multiple Targets
- **Conservative:** 1x range height (100% probability reached)
- **Moderate:** 1.5x range height (70% probability)
- **Aggressive:** 2x range height (40% probability)
---
## ⏰ TIMEFRAME GUIDE
| Timeframe | Use For | Reliability | Recommended For |
|-----------|---------|-------------|-----------------|
| **Weekly** | Major trends | ⭐⭐⭐⭐⭐ | Position traders |
| **Daily** | Swing trades | ⭐⭐⭐⭐⭐ | Most traders |
| **4-Hour** | Active swing | ⭐⭐⭐⭐ | Active traders |
| **1-Hour** | Day trading | ⭐⭐⭐ | Experienced only |
| **15-Min** | Scalping | ⭐⭐ | Experts only |
**Golden Rule:** Always check one timeframe higher for context!
---
## 🚨 ALERT PRIORITY
### 🔔 MUST-HAVE ALERTS
1. Spring
2. UTAD
3. SOS
4. SOW
### 🔔 NICE-TO-HAVE ALERTS
5. Selling Climax (SC)
6. Buying Climax (BC)
7. Smart Money Accumulation
8. Smart Money Distribution
### 🔔 CONFIRMATION ALERTS
9. Phase E Markup
10. Phase E Markdown
---
## 💡 QUICK DECISION TREE
```
Is there a clear trading range?
├─ YES
│ ├─ Did price break BELOW support?
│ │ ├─ Volume LOW + Quick reversal = SPRING → BUY ✅
│ │ └─ Volume HIGH + Stays down = Breakdown → SELL ⚠️
│ │
│ └─ Did price break ABOVE resistance?
│ ├─ Volume LOW + Quick reversal = UTAD → SELL ✅
│ └─ Volume HIGH + Stays up = Breakout → BUY ⚠️
│
└─ NO
├─ Strong uptrend = Wait for re-accumulation
└─ Strong downtrend = Wait for re-distribution
```
---
## 📝 PRE-TRADE CHECKLIST
Before entering any trade:
- Identified the current Wyckoff phase
- Confirmed with volume analysis
- Checked higher timeframe trend
- Located supply/demand zones
- Identified clear entry point
- Set stop loss level
- Calculated target (risk:reward >1:2)
- Verified position size (risk 1-2%)
- Have at least 2 confirming signals
- Not trading against major trend
---
## 🧠 REMEMBER
**The Three Laws:**
1. **Supply & Demand** - Price is determined by imbalance
2. **Cause & Effect** - Range size predicts move size
3. **Effort & Result** - Volume should confirm price movement
**The Key Principle:**
> "Trade with the Composite Operator (smart money), not against them"
**Best Setups:**
1. Spring in accumulation (Phase C)
2. UTAD in distribution (Phase C)
3. SOS breakout (Phase D)
4. SOW breakdown (Phase D)
**When in Doubt:**
- ❓ Stay out
- 📈 Use higher timeframe
- 📚 Review the documentation
- 🎯 Wait for clearer signal
---
## 📱 INDICATOR SETTINGS QUICK SETUP
**For Stocks/Crypto (Good Volume Data):**
- Volume MA Length: 20
- High Volume Multiplier: 1.5
- Climax Volume: 2.0
- Swing Length: 5
**For Forex (Limited Volume Data):**
- Volume MA Length: 20
- High Volume Multiplier: 1.3
- Climax Volume: 1.8
- Swing Length: 7
- Turn OFF "Volume Confirmation"
**For Day Trading:**
- Swing Length: 3
- All other settings: Default
**For Position Trading:**
- Swing Length: 7-10
- Volume MA Length: 30
- Use Daily/Weekly charts
---
## 🎓 SKILL PROGRESSION
### Beginner (Month 1-2)
- Focus on: SC, Spring, SOS
- Timeframe: Daily only
- Goal: Identify phases correctly
### Intermediate (Month 3-6)
- Add: All accumulation events
- Timeframe: Daily + 4H
- Goal: Trade springs profitably
### Advanced (Month 6-12)
- Add: Distribution events, VSA
- Timeframe: Multiple timeframes
- Goal: Trade complete cycles
### Expert (Year 2+)
- Master: All events, all timeframes
- Combine: With other methodologies
- Goal: Consistent profitability
---
**Print this sheet and keep it next to your trading desk!**
*Remember: Quality over quantity. Wait for the best setups.*
# Wyckoff Method - Comprehensive Analysis Indicator
## Complete Implementation Guide for TradingView Pine Script
---
## TABLE OF CONTENTS
1. (#overview)
2. (#installation)
3. (#theory)
4. (#components)
5. (#signals)
6. (#strategies)
7. (#settings)
8. (#alerts)
9. (#patterns)
10. (#troubleshooting)
---
## OVERVIEW
This indicator implements Richard Wyckoff's complete trading methodology, including:
- **All 5 Phases** of Accumulation and Distribution
- **18+ Wyckoff Events** (PS, SC, AR, ST, Spring, SOS, LPS, BC, UTAD, SOW, etc.)
- **Volume Spread Analysis (VSA)** principles
- **Supply & Demand Zone** detection
- **Composite Operator** logic (Smart Money tracking)
- **Effort vs Result** analysis
- **Three Wyckoff Laws**: Supply/Demand, Cause/Effect, Effort/Result
---
## INSTALLATION
### Step 1: Copy the Code
1. Open the `wyckoff_comprehensive.pine` file
2. Select all code (Ctrl+A / Cmd+A)
3. Copy to clipboard (Ctrl+C / Cmd+C)
### Step 2: Add to TradingView
1. Go to TradingView.com
2. Open any chart
3. Click "Pine Editor" at the bottom of the screen
4. Click "New" or "Open"
5. Paste the entire code
6. Click "Save" and give it a name
7. Click "Add to Chart"
### Step 3: Verify Installation
You should see:
- Labels on the chart (PS, SC, Spring, SOS, etc.)
- Background colors indicating phases
- Volume analysis in the lower pane
- A table in the top-right corner showing current phase
---
## WYCKOFF METHOD THEORY
### The Three Fundamental Laws
#### 1. **Law of Supply and Demand**
- Price rises when demand exceeds supply
- Price falls when supply exceeds demand
- The indicator tracks volume vs price movement to identify imbalances
#### 2. **Law of Cause and Effect**
- A period of accumulation (cause) leads to markup (effect)
- A period of distribution (cause) leads to markdown (effect)
- Trading ranges build "cause" for future price movement
#### 3. **Law of Effort vs Result**
- **Effort** = Volume (energy put into the market)
- **Result** = Price movement (spread of the bar)
- High effort with low result = potential reversal
- Low effort with high result = trend weakness
### The Five Phases
#### **ACCUMULATION CYCLE**
**Phase A: Stopping the Downtrend**
- Preliminary Support (PS): First sign of buying
- Selling Climax (SC): Panic selling exhaustion
- Automatic Rally (AR): Bounce from SC
- Secondary Test (ST): Test of SC low on lower volume
**Phase B: Building the Cause**
- Trading range develops
- Supply being absorbed by composite operator
- Multiple tests of support and resistance
- Volume generally decreases
**Phase C: The Test (Spring)**
- False breakdown below support
- Traps late sellers
- Quick reversal on low volume
- Last chance to accumulate before markup
**Phase D: Dominance Emerges**
- Sign of Strength (SOS): Break above resistance
- Last Point of Support (LPS): Pullback opportunity
- Backup (BU): Final consolidation
- Demand clearly exceeds supply
**Phase E: Markup**
- New uptrend established
- Price moves rapidly higher
- Phase E can last months/years
- Original trading range becomes support
#### **DISTRIBUTION CYCLE**
**Phase A: Stopping the Uptrend**
- Preliminary Supply (PSY): First sign of selling
- Buying Climax (BC): Euphoric buying exhaustion
- Automatic Reaction (AR): Sharp selloff from BC
- Secondary Test (ST): Test of BC high on lower volume
**Phase B: Building the Cause**
- Trading range at top
- Demand being absorbed by composite operator
- Multiple tests of support and resistance
**Phase C: The Test (UTAD)**
- Upthrust After Distribution
- False breakout above resistance
- Traps late buyers
- Quick reversal
**Phase D: Dominance Emerges**
- Sign of Weakness (SOW): Break below support
- Last Point of Supply (LPSY): Rally opportunity to exit
- Supply clearly exceeds demand
**Phase E: Markdown**
- New downtrend established
- Price moves rapidly lower
- Original trading range becomes resistance
---
## INDICATOR COMPONENTS
### 1. EVENT LABELS
#### Accumulation Events (Green labels)
- **PS** = Preliminary Support
- **SC** = Selling Climax (largest label, most important)
- **AR** = Automatic Rally
- **ST** = Secondary Test
- **SPRING** = Spring (critical buy signal)
- **TEST** = Test of support
- **SOS** = Sign of Strength (breakout)
- **LPS** = Last Point of Support
- **BU** = Backup
#### Distribution Events (Red labels)
- **PSY** = Preliminary Supply
- **BC** = Buying Climax (largest label, most important)
- **AR** = Automatic Reaction
- **ST** = Secondary Test
- **UTAD** = Upthrust After Distribution (critical sell signal)
- **SOW** = Sign of Weakness
- **LPSY** = Last Point of Supply
#### VSA Events (Small colored labels)
- **ND** (Orange) = No Demand - weakness
- **NS** (Blue) = No Supply - strength
- **SV** (Purple) = Stopping Volume
- **UT** (Red) = Upthrust - weakness
- **SO** (Green) = Shakeout - strength
#### Composite Operator (💰 symbols)
- Green 💰 at bottom = Smart Money Accumulation
- Red 💰 at top = Smart Money Distribution
### 2. BACKGROUND COLORS
- **Light Blue** = Phase A (Accumulation)
- **Light Orange** = Phase A (Distribution)
- **Very Light Green** = Phase C (Accumulation Testing)
- **Very Light Red** = Phase C (Distribution Testing)
- **Light Green** = Phase D (Accumulation Strength)
- **Light Red** = Phase D (Distribution Weakness)
- **Green** = Phase E (Markup - Bull trend)
- **Red** = Phase E (Markdown - Bear trend)
### 3. SUPPLY & DEMAND ZONES
- **Green boxes** = Demand zones (where smart money accumulated)
- **Red boxes** = Supply zones (where smart money distributed)
- Zones extend 20 bars into the future
- Price reactions at these zones are significant
### 4. VOLUME PANEL
- **Dark Green/Red bars** = Very High Volume (climax)
- **Light Green/Red bars** = High Volume
- **Gray bars** = Normal Volume
- **Faint Gray bars** = Low Volume
- **Blue line** = Volume Moving Average
### 5. INFORMATION TABLE (Top Right)
Displays real-time analysis:
- **Current Phase** (A, B, C, D, or E)
- **Status** (description of what's happening)
- **Volume** (Very High, High, Normal, Low)
- **Spread** (Wide, Normal, Narrow)
- **Effort/Result** (Poor, Normal, Good)
- **Range** (YES if in trading range)
- **Bias** (BULLISH, BEARISH, or NEUTRAL)
---
## HOW TO READ THE SIGNALS
### STRONG BUY SIGNALS (in order of strength)
1. **SPRING** (strongest)
- False breakdown below support
- Look for: Low volume, quick reversal, close above support
- Entry: When price closes back above support level
- Stop: Below the spring low
2. **SOS (Sign of Strength)**
- Break above trading range resistance
- Look for: High volume, wide spread up bar
- Entry: On breakout or pullback to LPS
- Stop: Below trading range
3. **Shakeout (SO)**
- Similar to spring but more violent
- Look for: High volume, penetration of support, strong close
- Entry: When price reclaims support
- Stop: Below shakeout low
4. **LPS (Last Point of Support)**
- Pullback after SOS
- Look for: Low volume, shallow pullback
- Entry: When support holds
- Stop: Below LPS
5. **No Supply (NS)**
- Down bar on very low volume
- Indicates lack of selling pressure
- Confirms accumulation phase
### STRONG SELL SIGNALS (in order of strength)
1. **UTAD (Upthrust After Distribution)** (strongest)
- False breakout above resistance
- Look for: High volume spike, rejection, close below resistance
- Entry: When price closes back below resistance
- Stop: Above UTAD high
2. **SOW (Sign of Weakness)**
- Break below trading range support
- Look for: High volume, wide spread down bar
- Entry: On breakdown or rally to LPSY
- Stop: Above trading range
3. **Upthrust (UT)**
- Move above resistance on low volume, weak close
- Look for: Low volume, close in lower half of bar
- Entry: When resistance becomes resistance again
- Stop: Above upthrust high
4. **LPSY (Last Point of Supply)**
- Rally after SOW
- Look for: Low volume, weak rally
- Entry: When rally fails
- Stop: Above LPSY
5. **No Demand (ND)**
- Up bar on very low volume
- Indicates lack of buying pressure
- Confirms distribution phase
### NEUTRAL/WARNING SIGNALS
- **High Effort, Low Result** = Potential reversal coming
- **Stopping Volume** = Trend may be ending
- **Absorption** = Large volume with small movement (accumulation/distribution)
---
## TRADING STRATEGY EXAMPLES
### Strategy 1: Accumulation Range Breakout
**Setup:**
1. Identify trading range (blue background in Phase B)
2. Wait for Spring or Test (Phase C)
3. Wait for SOS breakout (Phase D)
**Entry:**
- Option A: Buy on SOS breakout
- Option B: Wait for LPS pullback (better risk/reward)
**Stop Loss:**
- Below the spring low or trading range bottom
**Target:**
- Measure height of trading range (cause)
- Project upward from breakout point (effect)
- Minimum target = range height
**Example:**
```
Trading Range: 100 to 120 (20 point range)
SOS Breakout at: 120
Target: 120 + 20 = 140 minimum
```
### Strategy 2: Distribution Range Breakdown
**Setup:**
1. Identify trading range after uptrend
2. Wait for UTAD (Phase C)
3. Wait for SOW breakdown (Phase D)
**Entry:**
- Option A: Sell on SOW breakdown
- Option B: Wait for LPSY rally (better risk/reward)
**Stop Loss:**
- Above the UTAD high or trading range top
**Target:**
- Measure height of trading range
- Project downward from breakdown point
- Minimum target = range height
### Strategy 3: Spring Trading
**Setup:**
1. Strong downtrend followed by range
2. Price breaks below range bottom
3. Volume is LOW on breakdown
4. Price quickly reverses and closes above support
**Entry:**
- When candle closes above support level
- Or on retest of support
**Stop Loss:**
- Below spring low (usually tight)
**Target:**
- Top of trading range
- Previous swing high
**Risk/Reward:**
- Typically 1:3 or better
### Strategy 4: Smart Money Tracking
**Setup:**
1. Look for 💰 symbols in demand zones
2. Multiple accumulation signals (PS, SC, ST, Test)
3. Volume decreasing during range
**Entry:**
- At next demand zone test
- On SOS breakout
**Confirmation:**
- Background turning green (Phase D/E)
- Table shows "BULLISH" bias
### Strategy 5: VSA Reversal
**Setup:**
1. Strong trend in place
2. Stopping Volume (SV) appears at extreme
3. Followed by No Demand (ND) or No Supply (NS)
**Entry:**
- When trend breaks down/up
- On retest of extreme
**Example (Bullish):**
```
Downtrend → Stopping Volume → No Supply → Up bar
Entry: Buy when price moves above SV bar
```
---
## SETTINGS & CUSTOMIZATION
### Volume Analysis Settings
**Volume MA Length** (default: 20)
- Shorter = More sensitive to volume changes
- Longer = Smoother, less noise
- Recommended: 15-25 for most timeframes
**High Volume Multiplier** (default: 1.5)
- Threshold for "high volume"
- Lower = More signals
- Higher = Only extreme volume
- Recommended: 1.3-2.0
**Climax Volume Multiplier** (default: 2.0)
- Threshold for climax events (SC, BC)
- Should be significantly higher than normal
- Recommended: 2.0-3.0
### Phase Detection Settings
**Swing Detection Length** (default: 5)
- How many bars to look left/right for swing points
- Shorter = More swings detected (more noise)
- Longer = Fewer swings (cleaner, might miss some)
- Recommended: 3-7
**Range Expansion Threshold** (default: 1.5)
- Multiplier for "wide spread" bars
- Higher = Only very wide bars qualify
- Recommended: 1.3-2.0
**Volume Confirmation** (default: ON)
- Requires volume confirmation for events
- Turn OFF for very low volume instruments
- Keep ON for stocks, forex, crypto
### Display Options
Toggle on/off:
- ✅ **Show Accumulation/Distribution Phases** - Background colors
- ✅ **Show Wyckoff Events** - All labeled events
- ✅ **Show Volume Spread Analysis** - VSA labels
- ✅ **Show Supply/Demand Zones** - Boxes on chart
- ✅ **Show Composite Operator Signals** - 💰 symbols
### Color Customization
- **Bullish Color** - All accumulation events
- **Bearish Color** - All distribution events
- **Neutral Color** - Range/neutral signals
---
## ALERT SETUP
### Available Alerts
1. **Selling Climax (SC)** - Potential bottom forming
2. **Spring** - Strong buy signal
3. **Sign of Strength (SOS)** - Bullish breakout
4. **Buying Climax (BC)** - Potential top forming
5. **UTAD** - Strong sell signal
6. **Sign of Weakness (SOW)** - Bearish breakdown
7. **Phase E Markup** - Uptrend confirmed
8. **Phase E Markdown** - Downtrend confirmed
9. **Smart Money Accumulation** - Institutions buying
10. **Smart Money Distribution** - Institutions selling
### How to Set Up Alerts
1. Click the "⏰" icon on TradingView
2. Select "Create Alert"
3. Condition: Choose the indicator and alert type
4. Example: "Wyckoff Method - Spring"
5. Set notification preferences (popup, email, webhook)
6. Click "Create"
### Recommended Alert Strategy
**Conservative Trader:**
- Spring
- SOS
- UTAD
- SOW
**Aggressive Trader:**
- Add: SC, BC, Smart Money signals
**Long-term Investor:**
- Phase E Markup
- Phase E Markdown
- Smart Money Accumulation
---
## COMMON PATTERNS
### Pattern 1: Classic Accumulation
```
Phase A: Downtrend → PS → SC → AR → ST
Phase B: Range building (4-12 weeks typical)
Phase C: Spring (false breakdown)
Phase D: SOS → LPS → BU
Phase E: Markup (new uptrend)
```
**What to do:**
- Mark the range boundaries
- Wait for spring
- Buy on LPS or SOS
- Hold through markup
### Pattern 2: Classic Distribution
```
Phase A: Uptrend → PSY → BC → AR → ST
Phase B: Range building (topping process)
Phase C: UTAD (false breakout)
Phase D: SOW → LPSY
Phase E: Markdown (new downtrend)
```
**What to do:**
- Mark the range boundaries
- Wait for UTAD
- Sell on LPSY or SOW
- Stay out during markdown
### Pattern 3: Re-Accumulation
```
Uptrend → Trading Range → Spring → Uptrend continues
```
- Occurs during existing uptrend
- Shorter accumulation period
- Often no clear SC (trend is already up)
- Spring is the key signal
### Pattern 4: Re-Distribution
```
Downtrend → Trading Range → UTAD → Downtrend continues
```
- Occurs during existing downtrend
- Shorter distribution period
- Often no clear BC (trend is already down)
- UTAD is the key signal
### Pattern 5: Failed Breakout
**Bullish Failed Breakout:**
```
Range → Breakdown → Immediate reversal (Spring)
```
- Price breaks support
- Volume is LOW
- Immediate strong reversal
- Very bullish
**Bearish Failed Breakout:**
```
Range → Breakout → Immediate reversal (UTAD)
```
- Price breaks resistance
- Volume may be high initially
- Quick rejection and reversal
- Very bearish
---
## TIMEFRAME RECOMMENDATIONS
### Daily Charts (Most Reliable)
- Best for swing trading
- Clear phases and events
- Less noise
- Recommended for beginners
### 4-Hour Charts
- Good for active swing traders
- Faster signals than daily
- Still reliable
### 1-Hour Charts
- For day traders
- More false signals
- Need to filter carefully
- Use in conjunction with higher timeframe
### 15-Minute / 5-Minute
- Only for experienced traders
- High noise level
- Many false signals
- Use daily chart for context
**Golden Rule:** Always check higher timeframe first!
---
## MULTI-TIMEFRAME ANALYSIS
### Top-Down Approach (Recommended)
1. **Weekly Chart** - Identify major trend and phase
2. **Daily Chart** - Find current accumulation/distribution
3. **4H Chart** - Identify entry timing
4. **Entry Timeframe** - Execute trade
### Example Analysis:
**Weekly:** Phase E Markup (bullish)
**Daily:** Phase B Re-accumulation
**4-Hour:** Spring detected
**Action:** Buy on daily LPS
---
## WYCKOFF + OTHER INDICATORS
### Complementary Tools
1. **Moving Averages**
- 20/50 SMA for trend context
- Already plotted on indicator
2. **RSI**
- Divergences at SC/BC
- Confirms overbought/oversold
3. **MACD**
- Confirms trend change in Phase D
- Divergences support Wyckoff events
4. **Volume Profile**
- Identifies value areas
- Confirms supply/demand zones
5. **Order Flow / Footprint Charts**
- See institutional activity
- Confirms smart money signals
**Don't Over-Complicate:**
- Wyckoff is a complete system
- Other indicators are supplementary
- When in doubt, trust Wyckoff
---
## TROUBLESHOOTING
### Issue: Too Many Labels
**Solution:**
- Increase swing length (Settings → 7 or 10)
- Increase volume multipliers
- Turn off VSA labels if not needed
- Focus on major events only (SC, Spring, SOS, BC, UTAD, SOW)
### Issue: Missing Expected Events
**Solution:**
- Decrease swing length (Settings → 3)
- Decrease volume multipliers
- Turn OFF volume confirmation
- Check timeframe (use daily chart)
### Issue: False Signals
**Solution:**
- Use higher timeframe
- Wait for confirmation
- Don't trade against major trend
- Look for multiple signal convergence
### Issue: Can't See Background Colors
**Solution:**
- Check "Show Phases" is enabled
- Increase monitor brightness
- Colors are subtle by design (not to obscure price)
### Issue: Volume Shows Incorrectly
**Solution:**
- Ensure volume data is available for your symbol
- Some symbols have poor volume data
- Forex spot pairs have no real volume
- Use futures or stock markets for best results
### Issue: No Trading Range Detected
**Solution:**
- Market may be trending strongly
- Trading range might be too small
- Wait for price to consolidate
- Not all markets have clear ranges
---
## ADVANCED TIPS
### 1. Count Point & Figure Charts
- Wyckoff used P&F to measure "cause"
- Width of range × height = minimum move target
- Longer accumulation = larger markup
### 2. Watch for Absorption
- High volume + narrow spread = someone absorbing
- In downtrend = accumulation
- In uptrend = distribution
### 3. Multiple Timeframe Springs
- Spring on daily + spring on weekly = very strong
- Increases probability significantly
### 4. Failed Signals Are Signals Too
- Failed spring = weakness, expect lower
- Failed UTAD = strength, expect higher
### 5. Context is King
- Don't buy during Phase E Markdown
- Don't sell during Phase E Markup
- Respect the major trend
### 6. Volume Precedes Price
- Study volume changes first
- Price follows volume
- Decreasing volume in range = building energy
### 7. Composite Operator Mindset
- Think like institutions
- Where would smart money buy/sell?
- They need liquidity (retail traders)
---
## RISK MANAGEMENT
### Position Sizing
**Conservative:**
- Risk 1% per trade
- Wider stops at range boundaries
**Moderate:**
- Risk 1-2% per trade
- Stops below spring/above UTAD
**Aggressive:**
- Risk 2-3% per trade
- Tight stops
- Higher win rate needed
### Stop Loss Placement
**Accumulation:**
- Below spring low
- Below trading range bottom
- Below demand zone
**Distribution:**
- Above UTAD high
- Above trading range top
- Above supply zone
### Take Profit Strategy
**Method 1: Measured Move**
- Range height = minimum target
- 2x range height = extended target
**Method 2: Fibonacci Extensions**
- 1.0 = range height
- 1.618 = extended target
- 2.618 = maximum target
**Method 3: Trail the Stop**
- Move stop to breakeven at 1R
- Trail under swing lows in markup
- Lock in profits progressively
---
## BACKTESTING CHECKLIST
Before trading with real money:
- Backtest on 50+ historical examples
- Record all signals in trading journal
- Calculate win rate (aim for >50%)
- Calculate average R:R (aim for >1:2)
- Test on multiple instruments
- Test on multiple timeframes
- Test in different market conditions
- Verify signal consistency
- Practice on demo account
- Start small with real money
---
## RECOMMENDED READING
### Books
1. **"Studies in Tape Reading"** - Richard D. Wyckoff
2. **"The Richard D. Wyckoff Method"** - Rubén Villahermosa
3. **"Charting the Stock Market: The Wyckoff Method"** - Jack Hutson
4. **"Master the Markets"** - Tom Williams (VSA)
### Courses
1. Wyckoff Analytics - Official Wyckoff course
2. TradeVSA - Volume Spread Analysis
3. StockCharts - Wyckoff education
### Communities
1. Wyckoff Analytics Forum
2. Reddit r/Wyckoff
3. TradingView Wyckoff ideas section
---
## FREQUENTLY ASKED QUESTIONS
**Q: Can I use this on crypto?**
A: Yes, works well on major cryptocurrencies with good volume.
**Q: Does it work on forex?**
A: Yes, but use futures volume (like 6E for EUR/USD) for better accuracy.
**Q: What's the best timeframe?**
A: Daily chart for most traders. 4H for more active trading.
**Q: How long does accumulation last?**
A: Typically 2-12 weeks. Longer accumulation = bigger markup.
**Q: Can I automate this?**
A: You can use the alerts, but manual analysis is recommended.
**Q: What's the win rate?**
A: With proper filtering: 60-70% on major signals (Spring, UTAD, SOS, SOW).
**Q: Should I trade every signal?**
A: No. Focus on Spring, UTAD, SOS, and SOW in trending markets.
**Q: What if I see conflicting signals?**
A: Use higher timeframe for context. When in doubt, stay out.
**Q: How do I know which phase I'm in?**
A: Check the table in top-right corner. Also look at background color.
**Q: Can I use this for options trading?**
A: Yes, excellent for timing option entries (especially around Spring/UTAD).
---
## FINAL THOUGHTS
The Wyckoff Method is:
- **A complete trading system** (not just an indicator)
- **Based on 100+ years** of market wisdom
- **Used by institutions** and professional traders
- **Requires practice** and screen time
- **Highly effective** when applied correctly
**Success Tips:**
1. Start with daily charts
2. Focus on major events (SC, Spring, SOS, BC, UTAD, SOW)
3. Always check higher timeframe context
4. Wait for confirmation before entering
5. Manage risk properly
6. Keep a trading journal
7. Be patient - wait for the best setups
**Remember:**
- Not every range will have all events
- Some phases may be abbreviated
- Context and confluence matter most
- Practice makes perfect
---
## SUPPORT & UPDATES
For questions, improvements, or bug reports:
- Check TradingView script comments
- Join Wyckoff trading communities
- Study historical examples
- Practice on demo accounts
**Good luck and happy trading!**
---
*Disclaimer: This indicator is for educational purposes. Always do your own analysis and risk management. Past performance does not guarantee future results.*
# WYCKOFF VISUAL SETUP EXAMPLES
## ACCUMULATION SCHEMATIC #1 (Classic Bottom)
```
Price Chart View:
│ PHASE E
│ MARKUP
│ ╱
│ ╱
┌─SOS─────┤ ╱
│ │ ╱
┌───────────┤ ┌LPS │╱
│ PHASE B │ │ │
│ (Cause) └──┴──────┤
┌AR──┤ │
┌────┤ │ ┌─Spring │ PHASE D
│ └ST──┤ │ │
│ │ │ │
────SC────────┴─────────┴───────────┴──────────
│
PS
│ PHASE A
│
Downtrend
```
### PHASE A - Stopping the Downtrend
```
PS: │ High volume down bar
▼ First sign of support
■ Not bottom yet
SC: │ VERY HIGH volume
▼ Panic selling exhaustion
█ Long lower wick
█ This is the low
AR: │ Automatic rally
▲ Relief bounce
■ High volume acceptable
ST: │ Secondary test
▼ Low volume (KEY!)
■ Tests SC low
```
### PHASE B - Building the Cause
```
┌─────────┐
│ ~~~ │ Multiple tests
│ ~ ~ │ Volume decreases
│~ ~ │ Range gets tighter
└─────────┘
Duration: 2-12 weeks typical
The longer, the bigger the eventual move
```
### PHASE C - The Test (SPRING)
```
║ False breakdown
─────╨─────
▼ Low volume
█ Breaks below support
■
█ Quick reversal
▲ Closes ABOVE support
CRITICAL: Volume must be LOW
Close must be strong
Happens quickly (1-3 bars)
```
### PHASE D - Strength Emerges
```
SOS: ▲ Sign of Strength
────╥──── Break above resistance
║ High volume
║ Wide spread
LPS: ▼ Last Point Support
■ Pullback on LOW volume
▲ Great entry point
BU: ▲ Backup
■ Final consolidation
▲ Before markup
```
### PHASE E - Markup
```
╱
╱
╱ Strong uptrend
╱ High momentum
╱ Can last months/years
──╱──
```
---
## DISTRIBUTION SCHEMATIC #2 (Classic Top)
```
Price Chart View:
Uptrend
│
PSY
│ PHASE A
────BC────────┬─────────┬───────────┬──────────
│ │ UTAD │
│ PHASE B │ │ PHASE D
┌AR──┤ ┌LPSY │ │
│ │ │ └───────────┤
│ └──┴──────┐ │╲
└ST──┤ │ │ ╲
│ └───────────┤ ╲
└─SOW─────┤ │ ╲
│ │ ╲
│ PHASE C │ ╲
│ │ PHASE E
│ │ MARKDOWN
```
### PHASE A - Stopping the Uptrend
```
PSY: │ High volume up bar
▲ Preliminary supply
■ Selling starting
BC: │ VERY HIGH volume
▲ Buying climax
█ Euphoric top
█ Long upper wick
AR: │ Automatic reaction
▼ Sharp selloff
■ High volume
ST: │ Secondary test
▲ Low volume (KEY!)
■ Tests BC high
```
### PHASE C - The Test (UTAD)
```
▲ False breakout
────╥────
║ Breaks ABOVE resistance
║ Often high volume spike
▼
█ Rejection / weak close
█ Closes BELOW resistance
▼
CRITICAL: Closes weak
Quick rejection
Traps buyers
```
### PHASE D - Weakness Emerges
```
SOW: ▼ Sign of Weakness
────╨──── Break below support
║ High volume
║ Wide spread
LPSY: ▲ Last Point Supply
■ Rally on LOW volume
▼ Last chance to exit
```
---
## VOLUME PATTERNS (Critical to Understanding)
### ACCUMULATION Volume Pattern
```
Volume
│ SC
█
█ ST
■ ■ Spring
■ ■ ■ SOS LPS
──┴────┴────┴──────█───■────►
│ │ │ │ │
│ │ │ │ │
A A C D D
Pattern: HIGH → low → low → HIGH → low
Key: Volume DECREASES during range
INCREASES on breakout
```
### DISTRIBUTION Volume Pattern
```
Volume
│ BC
█
█ ST
■ ■ UTAD
■ ■ ■ SOW LPSY
──┴────┴────┴──────█───■────►
│ │ │ │ │
│ │ │ │ │
A A C D D
Pattern: HIGH → low → varies → HIGH → low
Key: Volume MAY increase on UTAD
Definitely HIGH on breakdown (SOW)
```
---
## REAL TRADE SETUPS
### Setup #1: SPRING BUY
```
Entry Conditions:
1. Clear trading range identified
2. Price breaks BELOW support
3. Volume is LOW (critical!)
4. Price reverses QUICKLY
5. Closes ABOVE support level
Entry: Next bar or on retest
Stop: Below spring low
Target: Top of range (minimum)
Example:
Support: $100
Spring low: $98 (low volume)
Close: $101
Entry: $102
Stop: $97.50
Target: $120 (range top)
Risk/Reward: 1:4
```
### Setup #2: UTAD SELL
```
Entry Conditions:
1. Clear trading range identified (after uptrend)
2. Price breaks ABOVE resistance
3. Often high volume spike
4. Price reverses QUICKLY
5. Closes BELOW resistance level
Entry: Next bar or on retest
Stop: Above UTAD high
Target: Bottom of range (minimum)
Example:
Resistance: $200
UTAD high: $205 (spike)
Close: $198
Entry: $197
Stop: $206
Target: $180 (range bottom)
Risk/Reward: 1:2
```
### Setup #3: SOS BREAKOUT
```
Entry Conditions:
1. Clear accumulation range
2. Spring already occurred (ideal)
3. Price breaks ABOVE resistance
4. HIGH volume on breakout
5. Wide spread up bar
Entry Option A: On breakout ($120)
Entry Option B: Wait for LPS pullback ($115)
Stop: Below range or LPS
Target: Range height projected up
Example:
Range: $100-$120 (20 points)
SOS breakout: $120
Entry A: $120
Stop: $115
Target 1: $140 (100%)
Target 2: $150 (150%)
```
---
## VSA SPECIFIC PATTERNS
### Pattern 1: No Demand (Weakness)
```
▲
■ Up bar
■ Low volume ◄── KEY
▲ Small body
Context: After uptrend
Meaning: Buyers exhausted
Action: Prepare to sell
```
### Pattern 2: No Supply (Strength)
```
▼
■ Down bar
■ Low volume ◄── KEY
▼ Small body
Context: After downtrend
Meaning: Sellers exhausted
Action: Prepare to buy
```
### Pattern 3: Stopping Volume
```
═ Very high volume
█ Narrow spread ◄── KEY
═ Price not moving
Context: At extremes
Meaning: Absorption
Action: Expect reversal
```
---
## COMMON MISTAKES (What NOT to Do)
### ❌ Mistake 1: Buying Prematurely
```
WRONG:
SC
▼
█ ← DON'T BUY HERE
CORRECT:
Spring
─────╨─────
▼
█ ← BUY HERE
▲
```
### ❌ Mistake 2: Ignoring Volume
```
WRONG: "It broke below support, must be spring"
─────╨───── High volume
█
This is a BREAKDOWN, not a spring!
CORRECT Spring:
─────╨───── LOW volume ✓
■ Quick reversal ✓
▲
```
### ❌ Mistake 3: Trading Against Trend
```
WRONG:
Markdown Phase E
╲
╲ ← Trying to buy here
╲
╲
CORRECT:
Wait for new accumulation to complete
```
---
## MULTI-TIMEFRAME EXAMPLE
### Weekly Chart: Phase E Markup (Bullish)
```
╱
╱
╱ Long-term uptrend
╱
───╱─────
```
### Daily Chart: Re-Accumulation Phase C
```
┌─────────┐
│ Spring │ ← We are here
│ ▼ │
─────┴────█────┴─────
▲
```
### 4-Hour Chart: Entry Timing
```
Last 48 hours:
─────╨───── Spring occurred
█
▲ ← Enter now
■
```
**Result:** Triple confirmation across timeframes = High probability trade
---
## PROFIT TARGETS (Visual Guide)
### Method 1: Basic Measured Move
```
Resistance: 120 ┐ ─────────
│
│ 20 points
│
Support: 100 ┘ ─────────
Breakout: 120
Target: 120 + 20 = 140
╱╱╱ 140 (Target)
╱╱╱
╱╱╱
──────◄ 120 (Breakout)
│
Range │ 20
│
──────┘ 100
```
### Method 2: Multiple Targets
```
╱╱╱ 150 (Target 3: 2.5x) - 20% position
╱╱╱
╱╱╱ 140 (Target 2: 2x) - 30% position
╱╱╱
─────◄╱ 130 (Target 1: 1x) - 50% position
│
10 │ 120 (Breakout)
│
─────┘ 110 (Support)
```
### Method 3: Trailing Stop
```
1. Move stop to breakeven at Target 1
2. Trail stop under swing lows
3. Let winners run
╱╱╱
╱ ╱╱ ← Trail stop here
╱╱ ╱
╱ ╱ ← Then here
─────◄──╱
← Start here (breakeven)
```
---
## TIMING ENTRIES (Exact Bar Patterns)
### Perfect Spring Entry
```
Bar 1: ▼ Breaks below (Low vol)
█
Bar 2: ▲ Reverses (Closes strong)
█ ◄─ ENTER HERE
Bar 3: ■ Confirms
▲
DON'T WAIT for Bar 3!
Enter on Bar 2 close
```
### Perfect UTAD Entry
```
Bar 1: ▲ Breaks above (Spike vol OK)
█
Bar 2: ▼ Reverses (Closes weak)
█ ◄─ ENTER HERE
Bar 3: ■ Confirms
▼
SHORT on Bar 2 close
Don't wait for more confirmation
```
---
## COMPOSITE OPERATOR PSYCHOLOGY
### What Smart Money Does (Follow Them)
**Accumulation:**
```
1. Create fear (PS, SC)
2. Shake out weak hands (Spring)
3. Absorb supply quietly (Phase B)
4. Test for remaining supply (Test)
5. Mark it up (SOS → Phase E)
💰 They buy LOW when retail panics
```
**Distribution:**
```
1. Create euphoria (PSY, BC)
2. Trap late buyers (UTAD)
3. Distribute to buyers (Phase B)
4. Test for remaining demand (ST)
5. Mark it down (SOW → Phase E)
💰 They sell HIGH when retail buys
```
### Where to Look for Smart Money
```
💰 Buy signals appear at:
- Demand zones (green boxes)
- Springs and shakeouts
- Tests of support
- After selling climax
💰 Sell signals appear at:
- Supply zones (red boxes)
- UTAD and upthrusts
- Weak rallies (LPSY)
- After buying climax
```
---
## PRACTICE EXERCISES
### Exercise 1: Identify the Phase
Look at any chart and ask:
1. Is there a trading range? (Phase B likely)
2. Did we just stop a trend? (Phase A)
3. Was there a spring/UTAD? (Phase C)
4. Is there a breakout? (Phase D)
5. Is trend running? (Phase E)
### Exercise 2: Volume Analysis
For each bar, note:
- Volume level (High/Normal/Low)
- Spread (Wide/Normal/Narrow)
- Effort vs Result (Matching? Diverging?)
### Exercise 3: Find Historical Springs
Go back 6 months:
- Mark all springs you can find
- Note the setup before each
- Track what happened after
- Calculate win rate
---
## FINAL VISUALIZATION: The Complete Cycle
```
ACCUMULATION → MARKUP → DISTRIBUTION → MARKDOWN → ACCUMULATION...
Distribution Accumulation
(Top) (Bottom)
┌───────────────┐ ┌───────────────┐
│ BC UTAD │ │ Spring SC │
│ │ │ │ │ │ │ │
────┴───┴───┴───────┴─╲ ╱────────┴───┴───┴────
╲ ╱
Markdown ╲ ╱ Markup
(Phase E) ╲ ╱ (Phase E)
╲ ╱
╲ ╱
╲ ╱
╲ ╱
V
The market cycles endlessly
Your job: Identify where you are in the cycle
Trade accordingly
```
---
**Remember:**
- 📊 Study charts daily
- 📝 Journal every setup
- 🎯 Wait for the best signals
- 💰 Follow smart money
- ⏰ Be patient
- 🚀 Let winners run
**The indicator does the heavy lifting - you make the decisions!**
Institutional Execution Engine v3 [Nishith Rajwar]
Institutional Execution Engine v3
Market-Structure-Driven Execution Framework (Indicator + Strategy Hybrid)
The **Institutional Execution Engine v3** is a professional-grade execution framework designed to model **how institutional participants interact with liquidity, volatility regimes, and market structure**.
It is built for **index traders, crypto traders, and systematic intraday participants** who require **non-repainting, forward-validated signals** with strict risk control.
This is **not a mashup of indicators**.
Every module is purpose-built and interacts through a unified execution pipeline.
---
🔍 Core Concepts & Methodology
1️⃣ Market Structure & POI Engine
* Identifies **Points of Interest (POIs)** using swing structure, volatility context, and liquidity positioning
* POIs are **confirmed only after bar close** (strict non-repaint enforcement)
* Adaptive pivot sensitivity based on selected execution preset
2️⃣ Liquidity-Aware Scoring System
Each potential trade is filtered through a **multi-factor execution score**, including:
* Structural alignment
* Volatility normalization (ATR regime)
* Liquidity reaction quality
* Directional efficiency
Trades are only allowed when the **minimum institutional score threshold** is met.
3️⃣ Regime Detection (Forward-Walk Safe)
The engine dynamically classifies market conditions into execution regimes:
* Trending
* Rotational
* Mean-reverting
Regime detection is **forward-walk compatible** and does **not leak future data**.
4️⃣ Risk-First Execution Model
* ATR-normalized stop placement
* R-multiple-based take-profit targeting
* Optional **single-trade-per-session guard**
* Strategy engine includes **open-trade protection** to prevent over-execution
5️⃣ Strategy + Indicator Hybrid
This script can be used in **two ways**:
* **Indicator mode** → discretionary execution with visual POIs, signals, and context
* **Strategy mode** → systematic backtesting with full TradingView Strategy Tester support
Both modes share the **same execution logic** (no divergence).
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⚙️ Preset-Driven Architecture
Built-in execution presets auto-configure internal parameters without changing core logic:
* **Scalp (Index)**
* **Daytrade (Index)**
* **Crypto Intraday**
* **Institutional Research (FWalk)**
Presets adjust pivot sensitivity, score thresholds, ATR behavior, and risk profile — while preserving execution integrity.
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## 🚫 Non-Repainting & Data Integrity
* No look-ahead bias
* No future bar references
* No repainting signals
* VWAP and regime logic reset correctly per session
* Safe handling of strategy.opentrades to avoid execution errors
All signals are **bar-close confirmed**.
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📊 Who This Is For
✔ Index traders (NIFTY / BANKNIFTY / SENSEX)
✔ Crypto intraday traders
✔ Systematic traders validating execution logic
✔ Traders who value **structure + liquidity + risk discipline** over indicators
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⚠️ Disclaimer
This script is a **research and execution framework**, not financial advice.
Always forward-test and adapt risk parameters to your instrument and timeframe.
---
**Author:** Nishith Rajwar
**Version:** v3
**Execution Philosophy:** Trade where institutions execute — not where indicators react.
Buy-Dip / Sell-Pullback Buy the Dip / Sell the Pullback – Trend-Following Strategy (EOD → Next Day Execution)
Overview
This is a trend-following futures strategy designed to participate in pullbacks within established trends, not to predict reversals.
It works on End-of-Day (EOD) confirmation and executes trades on the next trading session, making it suitable for positional and swing traders.
The strategy combines momentum, trend direction, volatility, and price location to filter for high-quality setups while avoiding overtrading.
🔍 Core Philosophy
Trade only in the direction of the prevailing trend
Buy dips in uptrends
Sell pullbacks in downtrends
Avoid chasing price after extended gaps
Use volatility-adjusted risk management (ATR-based SL & targets)
📊 Indicators Used
RSI (20)
Measures underlying momentum strength
Stochastic Oscillator (55, 34, 21)
Confirms pullback exhaustion within a trend
Supertrend (10, 2)
Defines primary trend direction
Bollinger Bands (20, 2)
Provides structural trend bias
ATR (5)
Used for:
Entry gap filter
Stop-loss
Profit target
Supertrend buffer
✅ Long (Buy) Setup – Evaluated at EOD
A long setup is generated when all of the following conditions are satisfied at the close of the trading day:
RSI(20) is above the bullish threshold (default: 48)
Stochastic %K is above %D (confirming pullback momentum)
Supertrend direction is bullish
Price is near or above Supertrend, allowing a volatility-adjusted buffer (ATR-based)
Price is above the Bollinger Band middle line
This combination ensures:
The market is trending up
Momentum supports continuation
The pullback is controlled, not a breakdown
❌ Short (Sell) Setup – Evaluated at EOD
A short setup is generated when:
RSI(20) is below the bearish threshold (default: 52)
Stochastic %K is below %D
Supertrend direction is bearish
Price is near or below Supertrend, with an ATR buffer
Price is below the Bollinger Band middle line
This filters for pullbacks within sustained downtrends.
⏰ Trade Execution Logic (Next Day Rule)
Once a setup is confirmed at EOD, a trade is attempted on the next trading session
To avoid chasing gaps:
Long trades are allowed only if price does not move more than a defined multiple of the previous day’s True Range
Short trades follow the same logic in reverse
This is implemented via limit orders, ensuring realistic backtesting and execution behavior
🛑 Risk Management
All exits are volatility-adjusted using ATR:
Stop-Loss:
1.1 × ATR(5) from entry price
Target:
2.2 × ATR(5) from entry price
This results in a risk–reward ratio of approximately 1:2
ATR is frozen at entry to avoid forward-looking bias.
🧠 Why This Strategy Works
Avoids low-quality trades during consolidation
Participates only when trend + momentum align
Prevents emotional gap-chasing
Adapts automatically to changing volatility
Suitable for index futures and liquid stocks
📌 Recommended Usage
Timeframe: Daily
Instruments:
Index Futures (e.g. NIFTY, BANKNIFTY)
Highly liquid stocks
Market Type: Trending markets
Not ideal for: Sideways or low-volatility environments
⚙️ Customization Tips
You can control trade frequency and aggressiveness by adjusting:
RSI thresholds
Supertrend buffer (ATR multiple)
Gap filter multiplier
Stochastic edge parameter
Looser settings → more trades
Stricter settings → higher selectivity
⚠️ Disclaimer
This strategy is for educational and research purposes only.
Backtest results do not guarantee future performance.
Always validate with paper trading before deploying real capital.
PMax - Asymmetric MultipliersDescription: This script is an enhanced version of the popular PMax (Profit Maximizer) indicator, originally developed by KivancOzbilgic. It has been converted into a full strategy with advanced customization options for backtesting and trend following.
Key Features & Modifications:
Asymmetric ATR Multipliers: Unlike the standard version, this script allows you to set different ATR multipliers for Upper (Short/Resistance) and Lower (Long/Support) bands.
Default Upper: 1.5 (Tighter trailing for Short positions)
Default Lower: 3.0 (Wider trailing for Long positions to avoid whipsaws)
Expanded MA Types: Added HULL (HMA) and VAR (Variable Index Dynamic Average) options.
VAR is highly recommended for filtering out noise in ranging markets.
HULL is ideal for scalping and faster reactions.
Built-in Risk Management: A fixed 5% Stop Loss mechanism is integrated into the strategy. It protects your capital by closing positions if the price moves 5% against you, even if the trend hasn't reversed yet.
Visibility Fix: Solved the issue where the PMax line would disappear or start at zero in the initial bars.
How to Use:
Use the VAR MA type for trend following in volatile markets.
Adjust the "Stop Loss Percent" input to fit your risk appetite.
The strategy employs an "Always In" logic (Long/Short) but respects the hard Stop Loss.
Credits: Original PMax logic by KivancOzbilgic.
RO H1 Signal CandleMarks specific H1 signal candles based on Bucharest (RO) time.
Designed for clean backtesting and time-based analysis.
Displays a small marker on selected hourly candles only.
Double&Triple Pattern[TS_Indie]📌 Description – Double & Triple Pattern Indicator
The Double & Triple Pattern Indicator is developed to help traders systematically and clearly identify Double Top, Double Bottom, Triple Top, and Triple Bottom chart patterns.
⚙️ Core Logic & Working Mechanism
The Double & Triple Pattern Indicator is built on the concept of price swing formation, based on the logic of Trend Entry_0 , which focuses on structured market analysis and price action behavior.
The indicator detects three main swing points (Swing 1, Swing 2, and Swing 3). A Fibonacci Box is then created using Swing A and Swing B as reference points to define the swing detection zone.
When all three swings remain inside the defined Fibonacci Box, the structure is considered a valid Price Action setup.
The indicator then plots key lines on the chart:
➩ Break Line – used to confirm the signal (confirmation)
➩ Cancel Line – used to invalidate the price action if price moves against the conditions
➛ When price breaks the Break Line , the structure is confirmed and a Pending Order is placed at Swing B , with the Stop Loss set at Swing 1.
➛ If price breaks the Cancel Line first, the price action structure is immediately invalidated.
⚙️ Fibonacci Entry Zone & Change SL Settings
➩ When Fibo Entry Zone is set to 0, the Pending Order is placed directly at Swing B.
➩ When the value is greater than 0, the Pending Order is calculated using Fibonacci levels drawn from Swing B to the Stop Loss level.
➩ Change SL allows switching the Stop Loss reference between Swing 1 and Swing A.
⚙️ Min & Max Control for Swing Size : xATR
When enabling Control Size Swing : xATR , the indicator filters Swing B based on the defined Min and Max range.
This allows traders to selectively test larger or smaller swing-based price actions , depending on their trading strategy.
⭐ Pending Order Cancellation Conditions
A Pending Order will be canceled under the following conditions:
1.A new Price Action signal appears on either the Buy or Sell side.
2.When Time Session is enabled, the Pending Order is canceled once price exits the selected session.
🕹 Order Management Rule
When there is an active open position, the indicator restricts the creation of new Pending Orders to prevent overlapping positions.
💡 Double Pattern Example
💡 Triple Pattern Example
⚠️ Disclaimer
This indicator is designed for technical analysis purposes only and does not constitute investment advice.
Users should apply proper risk management and make decisions at their own discretion.
🥂 Community Sharing
If you find parameter settings that work well or produce strong statistical results, feel free to share them with the community so we can improve and develop this indicator together.
Ripster Clouds + Saty Pivot + RVOL + Trend1. Ripster EMA Clouds (local + higher timeframe)
Local timeframe (your chart TF):
Plots up to 5 EMA clouds (8/9, 5/12, 34/50, 72/89, 180/200 – configurable).
Each cloud is:
One short EMA and one long EMA.
A filled band between them.
Color logic:
Cloud is bullish when short EMA > long EMA (green/blue-ish tone).
Bearish when short EMA < long EMA (red/orange/pink tone).
You can choose:
EMA vs SMA,
Whether to show the lines,
Per-cloud toggles.
MTF Clouds:
Two higher-timeframe EMA clouds:
Cloud 1: 50/55
Cloud 2: 20/21
Computed on a higher TF (default D, but configurable).
Show as thin lines + transparent bands.
Used for:
Visual higher-TF trend,
Optional signal filter (MTF must agree for trades).
2. Saty Pivot Ribbon (time-warped EMAs)
This is basically your Saty Pivot Ribbon integrated:
Uses a “Time Warp” setting to overlay EMAs from another timeframe.
EMAs:
Fast, Pivot, Slow (defaults 8 / 21 / 34).
Clouds:
Fast cloud between fast & pivot EMAs.
Slow cloud between pivot & slow EMAs.
Bullish/bearish colors are distinct from Ripster colors.
Optional highlights:
Can highlight fast/pivot/slow lines separately.
Conviction EMAs:
13 and 48 EMAs (configurable).
When fast conviction EMA crosses over/under slow:
You get triangle arrows (bullish/bearish conviction).
Bias candles:
If enabled, candles are recolored based on:
Price vs Bias EMA,
Candle up/down/doji,
So you see bullish/bearish “bias” directly in candle colors.
3. DTR vs ATR panel (range vs average)
In a small table panel (bottom-center by default):
Computes higher-TF ATR (default 14, TF auto D/W/M, smoothing type selectable).
Measures current range (high–low) on that TF.
Displays:
DTR: X vs ATR: Y Z% (+/-Δ% vs prev)
Where:
Z% = current range / ATR * 100.
Δ% = change vs previous bar’s Z%.
Background color:
Greenish for low move (<≈70%),
Red for high move (≥≈90%),
Yellow in between,
Slightly dimmed when price is below bias EMA.
This tells you: “Is today an average, quiet, or explosive day compared to normal?”
4. SMA Divergence panel
Separate histogram & line panel:
Fast and slow SMAs (default 14 & 30).
Computes price divergence vs SMA in %:
% above/below slow SMA,
% above/below fast SMA.
Shows:
Slow SMA divergence as a semi-transparent column,
Fast SMA divergence as a solid column on top,
EMA of the slow divergence (trend line) colored:
Blue when rising,
Orange/red when falling.
Static upper/lower bands with fill, plus optional zero line.
This gives you a feel for how stretched price is vs its anchors.
5. RVOL table (relative volume)
Small 3×2 table (bottom-right by default):
Inputs:
Average length (default 50 bars),
Optionally show previous candle RVOL.
Calculates:
RVOL now = volume / avg(volume N bars) * 100,
RVOL prev,
RVOL momentum (now – prev) for data window only.
Table columns:
Candle Vol,
RVOL (Now),
RVOL (Prev).
Colors:
200% → “high RVOL” color,
100–200% → “medium RVOL” color,
<100% → “low RVOL” color,
Slightly dimmer if price is below bias EMA.
This is used both visually and optionally as a signal filter (e.g., only trade when RVOL ≥ threshold).
6. Trend Dashboard (Price + 34/50 + 5/12)
Top-right trend box with 3 rows:
Price Action row:
Uses either Bias EMA or custom EMA on close to say:
Bullish (close > trend EMA),
Bearish (close < trend EMA),
Flat.
Ripster 34/50 Cloud row:
Uses 34/50 EMAs: bullish if 34>50, bearish if 34<50.
Ripster 5/12 Cloud row:
Uses 5/12 EMAs: bullish if 5>12, bearish if 5<12.
Then it does a vote:
Counts bullish votes (Price, 34/50, 5/12),
Counts bearish votes,
Depending on mode:
Majority (2 of 3) or Strict (3 of 3).
Output:
Overall Bullish / Bearish / Sideways.
You also get an optional label on the chart like
Overall: Bullish trend with color, and an optional background tint (green/red for bull/bear).
7. VWAP + Buy/Sell Signals
VWAP is plotted as a white line.
Fast “trend” cloud mid: average of 5 & 12 EMAs.
Slow “trend” cloud mid: average of 34 & 50 EMAs.
Buy condition:
5/12 crosses above 34/50 (bullish cloud flip),
Price > VWAP,
Optional filter: MTF Cloud 1 bullish (50/55 on higher TF),
Optional filter: RVOL >= threshold.
Sell condition:
5/12 crosses below 34/50,
Price < VWAP,
Optional same filters but bearish.
When conditions are met:
Plots BUY triangle up below price (distinct teal/green tone).
Plots SELL triangle down above price (distinct magenta/orange tone).
Alert conditions are defined for:
BUY / SELL signals,
Overall Bullish / Bearish / Sideways change,
MTF Cloud 1 trend flips.
8. Data Window metrics
For easy backtesting / inspection via TradingView’s data window, it exposes:
DTR% (Current) and DTR% Momentum,
RVOL% (Now), RVOL% (Prev), RVOL% Momentum.
TL;DR – What does this script do for you?
It turns your chart into a multi-framework trend and momentum dashboard:
Ripster EMA clouds for short/medium trend & S/R.
Saty Ribbon for higher-TF pivot structure and conviction.
RVOL + DTR/ATR for context (is this a big and well-participated move?).
SMA divergence panel for overextension/stretch.
A compact trend table that tells you Price vs 34/50 vs 5/12 in one glance.
Buy/Sell markers + alerts when:
short-term Ripster trend (5/12) flips over/under medium (34/50),
price agrees with VWAP,
plus optional filters (MTF trend and / or RVOL).
Basically: it’s a trend + confirmation + context system wrapped into one indicator, with most knobs configurable in the settings.
EMA Slope Angle# EMA Slope Angle Indicator
A professional, non-repainting overlay indicator that visualizes EMA slope strength as an angle in degrees, providing instant visual feedback through dynamic EMA coloring and comprehensive trend analysis.
## ORIGINALITY
This indicator is original in its approach to slope measurement:
- **Angle-based calculation**: Uses arctangent to calculate slope as an angle in degrees (not percentage), providing a more intuitive measure of trend strength
- **Dynamic visual feedback**: Combines real-time EMA line coloring with regime detection, creating a continuous visual representation of market conditions
- **Comprehensive analysis**: Integrates angle-based trend shift signals with optional statistical analysis in a single, cohesive tool
- **Non-repainting design**: All calculations use confirmed bars only, ensuring reliable, deterministic output
## HOW IT WORKS
The indicator calculates the EMA slope angle using trigonometric functions:
```
Angle = arctan((EMA_current - EMA_past) / lookback_bars) × 180/π
```
This provides an intuitive measure where:
- **Steep angles** = strong trends (visualized with saturated colors)
- **Shallow angles** = weak trends (visualized with lighter colors)
- **Near-zero angles** = flat/consolidation (visualized in gray)
The EMA line color dynamically reflects:
- **Direction**: Green shades for uptrends, red shades for downtrends
- **Strength**: Color intensity based on normalized angle (stronger slopes = more saturated colors)
- **Regime**: Gray for flat conditions when angle is below threshold
## KEY FEATURES
### Dynamic EMA Coloring
- EMA line color changes continuously based on slope strength
- Color intensity reflects trend strength (50-100% opacity range)
- Instant visual feedback without cluttering the chart
### Regime Detection
- Automatically classifies market conditions: **RISING**, **FALLING**, or **FLAT**
- Configurable angle thresholds for regime classification
- Real-time regime updates on confirmed bars only
### Trend-Shift Signals
- Detects transitions from FLAT to RISING/FALLING regimes
- Visual arrows on chart when significant trend shifts occur
- Prevents signal spam by only triggering from FLAT state
- Configurable trigger thresholds for signal sensitivity
### KPI Dashboard
- Real-time angle display (rounded to 1 decimal place)
- Current regime status with color coding
- Last signal tracking (UP/DOWN/NONE)
- Positioned in top-right corner for easy reference
### Advanced Angle Statistics (Optional)
- Detailed breakdown of angle distribution across 9 granular buckets:
- 0-0.2°, 0.2-0.5°, 0.5-1°, 1-1.5°, 1.5-2°, 2-3°, 3-5°, 5-10°, >10°
- Shows count and percentage for each bucket
- Automatically resets on symbol/timeframe changes
- Useful for analyzing historical slope patterns
## SETTINGS
### Main Settings
- **EMA Length**: Period for exponential moving average (default: 50)
- **Slope Lookback Bars**: Number of bars to compare for slope calculation (default: 5)
### Angle Settings
- **Flat Angle Threshold**: Maximum angle for FLAT regime classification (default: 2.0°)
- **Rising Angle Trigger**: Minimum angle to trigger RISING regime and UP signals (default: 1.0°)
- **Falling Angle Trigger**: Maximum angle to trigger FALLING regime and DOWN signals (default: -1.0°)
- **Max Angle for Color Saturation**: Maximum angle for full color intensity (default: 30.0°)
### Display Options
- **Uptrend Color**: Color for rising trends (default: dark green)
- **Downtrend Color**: Color for falling trends (default: dark red)
- **Flat Color**: Color for flat conditions (default: gray)
- **Show Trend-Shift Signals**: Toggle signal arrows on/off (default: true)
- **Show Angle Statistics**: Toggle statistics dashboard on/off (default: false)
## NON-REPAINTING GUARANTEE
- All calculations use confirmed bars only (`barstate.isconfirmed`)
- No future bar references
- No higher timeframe calls using `request.security()`
- Deterministic output - what you see is what you get
- Reliable for backtesting and live trading
## USE CASES
- **Trend Identification**: Instantly identify trend strength and direction at a glance
- **Reversal Detection**: Spot trend reversals early through regime changes
- **Trade Filtering**: Filter trades based on slope strength and regime
- **Consolidation Monitoring**: Identify flat market conditions for range trading
- **Pattern Analysis**: Study historical angle distributions to understand market behavior
- **Momentum Assessment**: Gauge trend momentum through visual color intensity
## LIMITATIONS
- Angle calculation depends on EMA length and lookback period settings
- Regime classification is based on configurable thresholds - adjust to match your trading style
- Signals only trigger when transitioning from FLAT state to prevent spam
- Statistics reset on symbol/timeframe changes (by design)
- Color intensity is normalized to max angle setting - adjust for your market's typical ranges
## TECHNICAL NOTES
- Uses Pine Script v6
- Overlay indicator (plots on price chart)
- No external dependencies
- Compatible with all TradingView chart types
- Works on all timeframes and symbols
## DISCLAIMER
This indicator is designed for visual trend analysis and educational purposes. Always combine with other technical analysis tools, fundamental analysis, and proper risk management strategies. Past performance does not guarantee future results. Trading involves risk of loss.
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**Perfect for**: Swing traders, day traders, trend followers, and market analysts seeking intuitive trend strength visualization.
