Risk Context + Position SizingWhat This Indicator Does (And Doesn't Do)
This is NOT a buy/sell signal indicator. Instead, it's a risk management tool that helps you understand two critical things:
How volatile the market is right now (compared to recent history)
How much you should risk on your next trade based on that volatility
The Core Problem It Solves
Imagine you always risk the same amount on every trade - say $100. But sometimes the market is calm and predictable, other times it's wild and unpredictable. This indicator says: "Hey, the market is going crazy right now - maybe only risk $70 instead of your usual $100."
How It Works
Measures Market "Nervousness"
Uses ATR (Average True Range) to measure how much prices typically move each day
Compares today's volatility to the past 100 days
Shows you a percentile (0-100%) - higher = more volatile
Categorizes Risk Environment
LOW (green): Market is calm, you can size up slightly
NORMAL: Standard conditions, use your normal position size
HIGH (red): Market is jumpy, reduce your position size
EXTREME (dark red): Market is in chaos, significantly reduce size
Important Disclaimers
This doesn't predict price direction - it only measures current market stress
You still need a trading strategy - this just helps you size it properly
Past volatility doesn't guarantee future volatility
Always combine with proper stop losses and risk management
Volatilite
📊 Bollinger Band Strategy v1.1
首先,衷心感谢昨天支持我 Bollinger Band Strategy v1.0 的八位朋友,来自世界各地的你们让我更加坚信构建这套系统的意义。今天,我顺利完成了 v1.1 的开发,并同步推出了 UI 优化后的 v1.1.2 升级版本。
🚀 本次更新亮点
✅ RSI 趋势过滤系统
v1.1 加入了 RSI 指标用于方向判断,极大提升了突破信号的准确性。超买区(RSI > 70)背景转为绿色,超卖区(RSI < 30)则为红色,帮助你一眼识别强动能行情与潜在背离。
✅ 智能“蓄力区”识别(Squeeze)
新增布林带带宽监测机制,当波动性低于阈值时,会显示橙色圆圈,代表市场可能正处于能量压缩状态,即将突破。默认阈值为 11%,适用于日线。
你可以根据所用周期(如 1 小时)灵活调整此值,具体修改参数如下(已用 * 标注):
squeeze_thresh = input.float(11.0, title="Squeeze Threshold (%)")
✅ 假突破识别系统
十字标记逻辑:当上一个K线突破布林带、而当前K线迅速回落时,会显示紫色或蓝色十字,提示潜在假突破或反转信号,辅助你避免被“假动作”诱多/诱空。
💡使用建议
- 周期切换建议:日线为主,中短线可调参数适配 1H/4H(如降低 squeeze 阈值)
- 做突破时一定要把多个指标重合对比,如在上涨行情中布林带收窄,价格跌破布林带并显示反转信号,而且突破前高点回调站立,RSI已背离过,这些信号如果同时出现胜率将大大提升。
- 当 布林带收窄 → 价格突破 → RSI 背离 → 回踩站稳前高/前低,且出现突破信号(绿色/红色三角)(用支撑阻力位判断也可以),这是你极可能抓住主升浪/主跌段的黄金时机。
⚙️ 模型优势
✅ 过滤震荡区,无动能不进场
✅ 可视化简洁,兼容币圈、美股、港股、期货等
✅ 完全开源,支持二次开发,适配多策略系统
✅ 可无缝扩展 EMA / VWAP / MACD 等指标融合使用
适用场景介绍
这个模型可以用于波段交易,主要多个指标配合建仓。还可以做区间,用加突破信号建仓(紫色和蓝色十字信号)。代码是开源代码,欢迎复制再创作,修改参数可以适用于更多交易场景。
再次感谢所有支持这个项目的朋友,欢迎你加入使用 Bollinger Band Strategy v1.1 的行列,从信号中捕捉趋势,在纪律中积累胜率。
EN⸻
📢 Bollinger Band Strategy v1.1.2 Release Notes
First of all, I want to extend my heartfelt thanks to the eight friends from around the world who supported version 1.0 of the Bollinger Band Strategy. Your encouragement has strengthened my belief in building this system. Today, I’m excited to announce the release of version 1.1, along with an updated and cleaner UI in v1.1.2.
⸻
🚀 What’s New in This Update
✅ RSI Trend Filter System
v1.1 introduces RSI-based directional filtering to significantly improve the accuracy of breakout signals. Background turns green when RSI > 70 (bullish) and red when RSI < 30 (bearish), helping you quickly identify momentum and potential divergence zones.
✅ Smart Squeeze Zone Detection
We now track Bollinger Band width in real time. When the bandwidth drops below a certain threshold (default: 11%), an orange dot appears to indicate a low-volatility “squeeze” zone—often a precursor to major breakouts.
👉 You can adjust this threshold depending on your trading timeframe (e.g. 1H or 4H). Use the following line to tweak it:
squeeze_thresh = input.float(11.0, title="Squeeze Threshold (%)")
✅ Fake Breakout Reversal Detection
The strategy now identifies potential fake breakouts. If the previous candle closed outside the bands but the current one quickly pulls back inside, a purple or blue cross appears—flagging a likely reversal zone and warning against chasing price.
✅ Cleaner Visual Experience
You can now choose to hide all visual lines and rely only on key signals and a minimalist top-left value panel—giving you a clean, clutter-free chart.
💡 Usage Tips
- Breakout Setup: Watch for the orange dot → wait for RSI confirmation → trade the breakout signal (green/red triangle).
- Reversal Setup: A purple or blue cross signals a potential fake breakout and reversal.
- Timeframe Recommendations: Best used on the daily chart; adjust squeeze threshold if trading shorter timeframes (1H, 4H, etc).
- Confluence is key: Stack signals for better entries—e.g. squeeze zone + breakout + RSI divergence + support/resistance retest.
- 📈 When the bands contract → price breaks out → RSI diverges → retest of previous highs/lows → and a breakout signal appears (triangle), you are likely entering a prime move.
⚙️ Strategy Advantages
✅ Filters out choppy zones—no momentum, no entry
✅ Clean visuals, compatible with crypto, stocks, futures, etc.
✅ Fully open-source and modular—ready for integration into complex systems
✅ Easily extendable with EMA, VWAP, MACD, and other popular indicators
🎯 Use Cases
- Swing Traders: Ideal for catching strong trend moves after low-volatility consolidation.
- Breakout Traders: Detect both clean breakouts and fakeouts for better entries/exits.
- Developers: Modular design allows easy integration into your own Pine Script strategy.
- Learners: Clear annotations make this script a great learning tool for beginners exploring Pine Script and technical logic.
Once again, thank you to everyone who has supported this project. I welcome you to explore Bollinger Band Strategy v1.1, where trend signals meet disciplined execution.
Let this tool help you see through noise, spot the move, and trade with clarity.
Indian Stocks Daily, Weekly, Monthly, All-Time High-LowDaily high, low, last week high low, current week high low, current month high low.
SQV Indicator Bridge# SQV Indicator Bridge - Quick Guide
## What is SQV Indicator Bridge?
A simple connector that validates your indicator's signals using SQV Lite before displaying them on the chart. Only high-quality signals pass through.
## How It Works
```
Your Indicator → Generates Signals → SQV Lite → Validates Quality → Bridge → Shows Only Valid Signals
```
## Quick Setup (3 Steps)
### Step 1: Prepare Your Indicator
Add these lines to export your signals:
```pinescript
// At the end of your indicator code
plot(longCondition ? 1 : 0, "Long Signal", display=display.none)
plot(shortCondition ? 1 : 0, "Short Signal", display=display.none)
```
### Step 2: Add to Chart (in order)
1. Your indicator
2. SQV Lite
3. SQV Indicator Bridge
### Step 3: Connect Sources
In Bridge settings:
- **Long Signal Source** → Select: YourIndicator: Long Signal
- **Short Signal Source** → Select: YourIndicator: Short Signal
- **SQV Long Valid** → Select: SQV Lite: SQV Long Valid
- **SQV Short Valid** → Select: SQV Lite: SQV Short Valid
- **SQV Score** → Select: SQV Lite: SQV Score
## Visual Settings
| Setting | Description | Default |
|---------|-------------|---------|
| Show Labels | Display BUY/SELL labels | On |
| Label Offset | Distance from candles (0-5 ATR) | 0 |
| Label Size | Tiny, Small, or Normal | Small |
| Long Color | Color for buy signals | Green |
| Short Color | Color for sell signals | Red |
## What You'll See
- **Green "LONG" labels** - When your buy signal passes SQV validation
- **Red "SHORT" labels** - When your sell signal passes SQV validation
- **No label** - When signal quality is too low
## Common Issues & Solutions
### No labels appearing?
1. Check "Use External Signals" is ON in SQV Lite
2. Verify source connections are correct
3. Lower minimum score in SQV Lite (try 60)
4. Test your indicator separately to ensure it generates signals
### Too many/few signals?
- Adjust "Minimum Quality Score" in SQV Lite
- Default is 65, lower for more signals, higher for fewer
### Wrong signals showing?
- Check Trading Mode in SQV Lite matches your strategy (Long Only/Short Only/Both)
## Example Integration
### Simple MA Cross Indicator
```pinescript
//@version=6
indicator("MA Cross with SQV", overlay=true)
// Your logic
fast = ta.sma(close, 20)
slow = ta.sma(close, 50)
longSignal = ta.crossover(fast, slow)
shortSignal = ta.crossunder(fast, slow)
// Plot MAs
plot(fast, color=color.blue)
plot(slow, color=color.red)
// Export for SQV Bridge (REQUIRED!)
plot(longSignal ? 1 : 0, "Long Signal", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal", display=display.none)
```
## Tips
✅ **DO**:
- Test in "Autonomous Mode" first (SQV Lite setting)
- Use clear signal names in your plots
- Keep signals binary (1 or 0)
❌ **DON'T**:
- Forget to add `display=display.none` to signal plots
- Use values other than 0 and 1 for signals
- Leave "Use External Signals" OFF in SQV Lite
## Alert Setup
1. Enable "Enable Alerts" in Bridge settings
2. Create alert on Bridge (not your indicator)
3. Alert message includes SQV score
Example alert: `"Long Signal Validated | Score: 85"`
## Complete Bridge Code
```pinescript
//@version=6
indicator("SQV Indicator Bridge", overlay=true)
// From your indicator
longSignal = input.source(close, "Long Signal Source", group="Signal Sources")
shortSignal = input.source(close, "Short Signal Source", group="Signal Sources")
// From SQV Lite
sqvLongValid = input.source(close, "SQV Long Valid", group="SQV Sources")
sqvShortValid = input.source(close, "SQV Short Valid", group="SQV Sources")
sqvScore = input.source(close, "SQV Score", group="SQV Sources")
// Settings
showLabels = input.bool(true, "Show Labels", group="Visual")
labelOffset = input.float(0.0, "Label Offset (ATR)", minval=0.0, maxval=5.0, step=0.5, group="Visual")
labelSize = input.string("small", "Label Size", options= , group="Visual")
longColor = input.color(color.green, "Long Color", group="Visual")
shortColor = input.color(color.red, "Short Color", group="Visual")
enableAlerts = input.bool(false, "Enable Alerts", group="Alerts")
// Logic
atr = ta.atr(14)
offset = labelOffset > 0 ? atr * labelOffset : 0
hasValidLong = longSignal > 0 and sqvLongValid > 0 and barstate.isconfirmed
hasValidShort = shortSignal > 0 and sqvShortValid > 0 and barstate.isconfirmed
// Show labels
if showLabels
if hasValidLong
label.new(bar_index, low - offset, "LONG",
style=label.style_label_up,
color=longColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
if hasValidShort
label.new(bar_index, high + offset, "SHORT",
style=label.style_label_down,
color=shortColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
// Alerts
if enableAlerts
if hasValidLong
alert("Long Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
if hasValidShort
alert("Short Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
```
---
**Need help?** Check the full SQV documentation or contact through TradingView messages.
ATR Dynamic Stop (Table + Plot + ATR %)📊 This script displays dynamic stop levels based on ATR, designed for active traders.
Features:
- Shows long and short stop levels (price ± ATR × multiplier).
- Displays values as a floating table on the top-right corner.
- Optional plot lines directly on the chart.
- Option to calculate based on realtime price or last close.
- Displays the ATR value both in price units and as a percentage of the selected price.
- Fully customizable table: text size, text color, background color.
Inputs:
- ATR Multiplier and Length.
- Show/hide stop lines on the chart.
- Select price source (realtime or last close).
- Table appearance options.
Ideal for:
- Traders who want a clear visual stop guide.
- Combining volatility with risk management.
Volatility Breakout Strategy W15_T2.0# How to Use This Indicator
## **Setup Instructions:**
**Adjust parameters** as needed:
- **Volatility Window**: 15 (default) for 15-period volatility calculation
- **Volatility Threshold**: 2.0 (default) for 2x volatility spike trigger
- **Price Direction Periods**: 5 (default) for trend direction detection
### **What You'll See:**
- **🟢 Green UP arrows**: BUY signals (high volatility + upward price movement)
- **🔴 Red DOWN arrows**: SELL signals (high volatility + downward price movement)
- **🟠 Orange circles**: EXIT signals (volatility cooled down)
- **🟨 Yellow background**: High volatility periods (above threshold)
- **📊 Info table**: Real-time volatility metrics (top-right corner)
### **Signal Logic:**
- **Entry**: When volatility ratio ≥ 2.0x AND price direction is clear
- **Exit**: When volatility ratio drops below 1.4x (70% of threshold)
- **Direction**: Based on 5-period price change
### **Best Timeframes:**
- **1-minute**: Very sensitive, many signals
- **5-minute**: Balanced (matches your original analysis)
- **15-minute**: Less frequent but higher quality signals
### **Alert Setup:**
The indicator includes built-in alerts for:
- Buy signals
- Sell signals
- Exit signals
Fat Tails Analyzer🧠 Fat Tails Analyzer — Analysis of Anomalous ("Fat-Tailed") Movements
📌 Description
Fat Tails Analyzer is a tool for analyzing "fat tails" in the distribution of returns. Unlike normal distribution, financial markets often exhibit frequent extreme movements. This indicator identifies and visualizes such events by analyzing logarithmic returns, deviations from normal distribution, and excess kurtosis.
🔬 Methodology
Logarithmic returns (ln(Close / Close )) are calculated for accurate aggregation and symmetry.
Moving average and standard deviation of returns are computed over a specified period.
"Fat-tailed" events are identified when returns exceed μ ± k·σ, where k is user-defined.
Normal distribution bands (±2σ) and kurtosis (a measure of tail "heaviness") are displayed for clarity.
📊 What It Displays
📈 Histogram of Returns: Green for positive, red for negative.
🟣 Fat Tail Threshold Lines: Marking extreme events.
⚪ Silver Normal Distribution Bands: ±2σ boundaries.
🔵 Kurtosis Line: If enabled.
📋 Table with Key Metrics: Mean, σ, kurtosis.
⚙️ Parameters
Lookback Period (Bars): Analysis period (default: 252).
Fat Tail Threshold (Std Devs): Deviation for extreme events (k, default: 2.5).
Show Normal Distribution Bands: Toggle ±2σ boundaries.
Show Kurtosis: Enable kurtosis analysis mode.
📌 Interpretation
Excess Kurtosis > 0: More extreme events than predicted by normal distribution.
Returns beyond fat-tail thresholds: Potential signals of panic, shock, or exceptional news.
Consistently high kurtosis: Unstable or speculative asset.
🧪 Applications
📉 Identify extreme risks in assets (especially cryptocurrencies and derivatives).
🧠 Study market behavior and dispersion.
🛡 Support risk analysis, stop-loss settings, and systemic risk assessment.
🔎 Compare assets by the "normality" of their behavior.
🧭 Live Metrics Table
Displayed in the bottom-right corner:
Mean return
Standard deviation
Excess kurtosis (color-coded by value)
🧠 Good to Know
Normal distribution has kurtosis = 0.
> 0: "Fat tails" (more extreme values).
< 0: "Thin tails" (values close to the mean).
Volume Peak LineA fully configurable “Volume Peak Line” indicator that draws a horizontal threshold at the highest volume over the last X candles (default 5).
Custom lookback (X volume candles)
Optional alert when current volume exceeds that peak
Separate up/down volume bars (green/red) or hide them to use your own volume overlays
Use it to spot surges in trading activity on any timeframe—ideal for intraday or swing setups where a barn-burner volume bar can signal a reversal or the start of a new trend.
TREV Candles - Range-Based Trend ReversalTREV Candles - Range-Based Trend Reversal Chart Implementation
What is a Trend Reversal (TREV) Chart?
A Trend Reversal chart, also known as a Point & Figure chart variation, is a unique charting method that focuses on price movement thresholds rather than time intervals. Unlike traditional candlestick charts where each candle represents a fixed time period, TREV candles form only when price moves by predefined amounts in ticks.
TREV charts eliminate time-based noise and focus purely on significant price movements, making them ideal for identifying genuine trend changes and continuation patterns.
How TREV Candles Work
This indicator implements true TREV logic with two critical thresholds:
Trend Size: The number of ticks price must move in the current direction to form a trend continuation candle
Reversal Size: The number of ticks price must move against the current direction to form a reversal candle and change the overall trend direction
Key TREV Rules Enforced:
Direction Changes Only Through Reversals: You cannot go from bullish trend directly to bearish trend - a reversal candle must occur first
Threshold-Based Formation: Candles form only when price thresholds are breached, not on time
Logical Wick Placement: Wicks only appear on the "open" side of candles where price temporarily moved against the formation direction
Multiple Candles Per Bar: When price moves significantly, several TREV candles can form within a single time-based bar
Four Distinct Candle Types
Bullish Trend (Green): Continues upward movement when trend threshold is hit
Bearish Trend (Red): Continues downward movement when trend threshold is hit
Bullish Reversal (Blue): Changes from bearish to bullish direction when reversal threshold is breached
Bearish Reversal (Orange): Changes from bullish to bearish direction when reversal threshold is breached
Practical Trading Applications
Trend Identification: Clear visual representation of when trends are continuing vs. reversing
Noise Reduction: Filters out insignificant price movements that don't meet threshold requirements
Support/Resistance: TREV levels often act as significant support and resistance zones
Breakout Confirmation: When price forms multiple trend candles in succession, it confirms strong directional movement
Reversal Signals: Reversal candles provide early warning of potential trend changes
Technical Implementation Features
Intelligent Price Path Processing: Analyzes the assumed price path within each bar (Low→High→Close for bullish bars, High→Low→Close for bearish bars)
Automatic Tick Size Detection: Works with any instrument by automatically detecting the correct tick size
Manual Override Option: Allows manual tick size specification for custom analysis
Impossible Scenario Prevention: Built-in logic prevents impossible wick configurations and direction changes
PineScript Optimization: Efficient state management and drawing limits handling for smooth performance
Comprehensive Styling Options
Each of the four candle types offers complete visual customization:
Body Colors: Independent color settings for each candle type's body
Border Colors: Separate border color customization
Border Styles: Choose from solid, dashed, or dotted borders
Wick Colors: Individual wick color settings for each candle type
Default Color Scheme:
🟢 Bullish Trend: Green body and wicks
🔵 Bullish Reversal: Blue body and wicks
🔴 Bearish Trend: Red body and wicks
🟠 Bearish Reversal: Orange body and wicks
Configuration Guidelines
Trend Size: Larger values create fewer, more significant trend candles. Smaller values increase sensitivity
Reversal Size: Should typically be smaller than trend size. Controls how easily the trend direction can change
Tick Size: Use "auto" for most instruments. Manual override useful for custom point values or backtesting
Ideal Use Cases
Swing Trading: Identify major trend changes and continuation patterns
Scalping: Use smaller thresholds to catch quick reversals and momentum shifts
Position Trading: Use larger thresholds to filter noise and focus on major trend moves
Multi-Timeframe Analysis: Compare TREV patterns across different threshold settings
Support/Resistance Trading: TREV close levels often become significant price zones
Why This Implementation is Superior
True TREV Logic: Enforces proper trend reversal rules that many implementations ignore
No Impossible Scenarios: Prevents wicks on both sides of candles and impossible direction changes
Professional Visualization: Clean, customizable appearance suitable for serious analysis
Performance Optimized: Handles large datasets without lag or drawing limit issues
Educational Value: Helps traders understand the difference between time-based and threshold-based charting
Perfect for traders who want to see beyond time-based noise and focus on what price is actually doing - moving in significant, measurable amounts that matter for trading decisions.
Trap Detector Signals [Tweaked Version]This script highlights potential institutional liquidity traps by detecting price extensions relative to VWAP during periods of short-term volatility compression — using manual VIX9D input as a proxy for complacency.
Bob Volman - Consolidation BoxThis indicator identifies consolidation zones based on Bob Volman's scalping methodology. It highlights tight price ranges where the market is coiling before a potential breakout.
🔧 Features
📊 Detects consolidation boxes based on:
• Minimum number of candles
• ATR-based range filter (ATR × multiplier)
• Proximity to EMA (EMA ± multiplier × ATR)
⏩ Automatically extends the box while price remains inside
❌ Option to hide boxes after breakout
🧾 Status line plots:
• 🔺 Box High / 🔻 Box Low
• 📏 Box Range (in ATR units)
• 🕒 Box Length (number of bars)
⚙️ Fully customizable: ATR/EMA lengths, multipliers, border color
🔔 Alert on new consolidation box
🎯 Use Cases
Identify tight consolidation zones before breakout
Improve scalping entries and exits
Spot potential support/resistance areas
✅ Combine with volume, breakout confirmation, market structure, and price action for better accuracy
📚 Inspired by the book: "Understanding Price Action" by Bob Volman
EMA Pullback Indicator [ATR-based]🟦 EMA Pullback Indicator
This indicator identifies pullbacks in trending markets using the crossover of two EMAs (Fast and Slow). When a pullback occurs during a valid trend, an entry is triggered after price resumes in the trend direction. ATR is used to dynamically calculate stop-loss and take-profit levels.
🔍 Strategy Logic:
Trend Detection: EMA(8) vs EMA(21)
Pullback Zones:
In a bullish trend, a pullback is when price dips below the Fast EMA
In a bearish trend, a pullback is when price rises above the Fast EMA
Entry Trigger: Re-entry into trend direction after pullback
Stop Loss / Take Profit:
Based on ATR × SL/TP multipliers
Exit Options:
TP/SL Hit
Exit on new pullback (optional toggle)
Multiple Entry Toggle: Choose whether to allow multiple pullback entries or not
⚙️ Inputs:
Fast EMA Length
Slow EMA Length
ATR Period
SL Multiplier
TP Multiplier
Allow Multiple Entries
Exit on New Pullback
📊 Visuals:
Colored EMAs and fill zone between them
Grey bars during pullback
Blue/Black trend bar colors
Entry markers and TP/SL levels with labels
Real-time ATR display in corner
📢 Alerts Included:
Long/Short Pullback Entry
Take Profit Hit
Stop Loss Hit
Burner RSI)RSI Dots that go above below candle body's. Giving a visual representation of the RSI.
Customizable dots and colours.
Current settings are.
rsiExtremeHigh = rsi >= 90
rsiOverbought = rsi >= 80 and rsi < 90
rsiCautionHigh = rsi >= 75 and rsi < 80
rsiExtremeLow = rsi <= 10
rsiOversold = rsi <= 20 and rsi > 10
rsiCautionLow = rsi > 20 and rsi <= 25
(Subak)Profit/Loss LineYou can automatically check the take profit/loss price compared to the current value. You can set up to 7.
This indicator simply guides the price and does not provide direction.
Volatility Radar + Classic StochVolatility Radar + Classic Stoch
This indicator detects volatility squeezes by measuring Bollinger Bands tightness relative to recent history and confirms potential breakout strength using multiple factors:
Bollinger Bands bandwidth percentile to identify tight and super-tight squeezes
TTM Squeeze confirmation via Keltner Channels
Volume spikes indicating rising market interest
ADX trend strength to gauge directional momentum
Classic Stochastic oscillator to signal overbought/oversold conditions
A composite volatility score ranks the overall setup strength with intuitive color-coded background and a real-time label.
Use this tool to anticipate volatility expansions and improve timing for breakout trades.
📊 Bollinger Band Strategy v1.0这份 Bollinger Band 工具脚本用于在图表上可视化布林带结构,并识别市场即将爆发的「低波动压缩区」(squeeze)、上下轨突破时机以及潜在的假突破反转信号。用户在 TradingView 图表中加载该脚本后,可以通过观察橙色小圆圈(表示布林带带宽低于阈值)、绿色/红色三角(价格突破上/下轨)以及紫色/青色叉号(free bar 回归)来辅助判断入场、出场或规避信号,从而提高波段交易的胜率与风控能力。适合结合 RSI、MACD 等动能指标进一步增强信号有效性。
// This Bollinger Band tool script is designed to visualize the Bollinger Band structure on a chart,
// identify potential "low volatility squeeze zones", breakout opportunities, and false breakout reversal signals.
// Once loaded in a TradingView chart, the user can monitor:
// - Orange circles: indicate that the Bollinger Band bandwidth has dropped below the defined threshold (squeeze signal),
// - Green/Red triangles: signal when price breaks above or below the Bollinger Bands,
// - Purple/Cyan crosses: suggest a possible fake breakout where price reverts back inside the band (free bar).
// These visual cues help traders better time entries and exits, avoid traps, and improve overall win rate in swing trading.
// This script is best used in combination with momentum indicators such as RSI and MACD to further increase accuracy.
BB Squeeze Flash (Overlay)SDC BB Squeeze Indicator - tells you when the BBs are getting super tight - made for GME but can be used anywhere i guess - TV told me i need to write more here to publish the indicator so here i am typing away ok hope this is enough characters
Quantum Dip Hunter | AlphaNattQuantum Dip Hunter | AlphaNatt
🎯 Overview
The Quantum Dip Hunter is an advanced technical indicator designed to identify high-probability buying opportunities when price temporarily dips below dynamic support levels. Unlike simple oversold indicators, this system uses a sophisticated quality scoring algorithm to filter out low-quality dips and highlight only the best entry points.
"Buy the dip" - but only the right dips. Not all dips are created equal.
⚡ Key Features
5 Detection Methods: Choose from Dynamic, Fibonacci, Volatility, Volume Profile, or Hybrid modes
Quality Scoring System: Each dip is scored from 0-100% based on multiple factors
Smart Filtering: Only signals above your quality threshold are displayed
Visual Effects: Glow, Pulse, and Wave animations for the support line
Risk Management: Automatic stop-loss and take-profit calculations
Real-time Statistics: Live dashboard showing current market conditions
📊 How It Works
The indicator calculates a dynamic support line using your selected method
When price dips below this line, it evaluates the dip quality
Quality score is calculated based on: trend alignment (30%), volume (20%), RSI (20%), momentum (15%), and dip depth (15%)
If the score exceeds your minimum threshold, a buy signal arrow appears
Stop-loss and take-profit levels are automatically calculated and displayed
🚀 Detection Methods Explained
Dynamic Support
Adapts to recent price action
Best for: Trending markets
Uses ATR-adjusted lowest points
Fibonacci Support
Based on 61.8% and 78.6% retracement levels
Best for: Pullbacks in strong trends
Automatically switches between fib levels
Volatility Support
Uses Bollinger Band methodology
Best for: Range-bound markets
Adapts to changing volatility
Volume Profile Support
Finds high-volume price levels
Best for: Identifying institutional support
Updates dynamically as volume accumulates
Hybrid Mode
Combines all methods for maximum accuracy
Best for: All market conditions
Takes the most conservative support level
⚙️ Key Settings
Dip Detection Engine
Detection Method: Choose your preferred support calculation
Sensitivity: Higher = more sensitive to price movements (0.5-3.0)
Lookback Period: How far back to analyze (20-200 bars)
Dip Depth %: Minimum dip size to consider (0.5-10%)
Quality Filters
Trend Filter: Only buy dips in uptrends when enabled
Minimum Dip Score: Quality threshold for signals (0-100%)
Trend Strength: Required trend score when filter is on
📈 Trading Strategies
Conservative Approach
Use Dynamic method with Trend Filter ON
Set minimum score to 80%
Risk:Reward ratio of 2:1 or higher
Best for: Swing trading
Aggressive Approach
Use Hybrid method with Trend Filter OFF
Set minimum score to 60%
Risk:Reward ratio of 1:1
Best for: Day trading
Scalping Setup
Use Volatility method
Set sensitivity to 2.0+
Focus on Target 1 only
Best for: Quick trades
🎨 Visual Customization
Color Themes:
Neon: Bright cyan/magenta for dark backgrounds
Ocean: Cool blues and teals
Solar: Warm yellows and oranges
Matrix: Classic green terminal look
Gradient: Smooth color transitions
Line Styles:
Solid: Clean, simple line
Glow: Adds depth with glow effect
Pulse: Animated breathing effect
Wave: Oscillating wave pattern
💡 Pro Tips
Start with the Trend Filter ON to avoid catching falling knives
Higher quality scores (80%+) have better win rates but fewer signals
Use Volume Profile method near major support/resistance levels
Combine with your favorite momentum indicator for confirmation
The pulse animation can help draw attention to key levels
⚠️ Important Notes
This indicator identifies potential entries, not guaranteed profits
Always use proper risk management
Works best on liquid instruments with good volume
Backtest your settings before live trading
Not financial advice - use at your own risk
📊 Statistics Panel
The live statistics panel shows:
Current detection method
Support level value
Trend direction
Distance from support
Current signal status
🤝 Support
Created by AlphaNatt
For questions or suggestions, please comment below!
Happy dip hunting! 🎯
Not financial advice, always do your own research
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It automatically adapts to the timeframe you're viewing — whether it's 5 minutes, 1 hour, 4 hours, or daily.
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🧾 **How Does Trimmed ATR Work?**
📌 For each bar:
- True Range (TR) is calculated.
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🎯 Trimmed ATR solves this by eliminating the impact of anomalies, providing a more stable and accurate volatility measure.
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- ATR increases, including these outliers.
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- Underestimated volatility.
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