Scanner Pro MTF v9.3Manual Script Trading Scanner Pro MTF v9.3
How to Interpret Your New Tool
• Total Alignment (The Holy Grail): When you see the chart turn green (LONG) from 15m to D1, it's a high-probability signal that the cycle's bottom has been confirmed.
• Inside Bars (Yellow Dots): When they appear near a support level, they indicate indecision. If the next candle breaks upwards with high volume ('V' on the chart), it's your entry confirmation.
Here's an explanation of the symbols:
1. The Fuchsia Diamond (The "Little Squares")
This symbol represents a Squeeze (Volatility Compression).
• What it means: It appears when the Bollinger Bands move inside the Keltner Channels.
• Interpretation: It indicates that the market is in a period of extreme calm or accumulation. Historically, after a "Squeeze," an explosive price movement occurs.
• Use in your Roadmap: If Bitcoin reaches $59,000 and these fuchsia diamonds start appearing, get ready: the market is building energy for the next big surge.
2. The White "V" (Unusual Volume)
This signal appears at the top of the chart when there is a spike in volume.
• What it means: It is activated when the volume of the current candle is 50% higher than the average of the last 20 candles (volume > ta.sma(volume, 20) * 1.5).
• Interpretation: It confirms the intention. A breakout from support or resistance with a "V" is much more reliable than one without volume.
• Use in your Roadmap: If you see a strong green candle bouncing off a support level with a "V" above it, it's a sign that institutions ("Smart Money") are buying.
3. The Yellow Circle (Inside Bar)
This symbol appears above candles that are "trapped" within the range of the previous candle.
• What it means: The high of the candle is lower than the previous one, and its low is higher than the previous one.
• Interpretation: It is a sign of pause and indecision. The market is compressing the price into a narrow range.
• Strategy: Often, the price breaks out strongly after an Inside Bar. It's like a spring being compressed.
________________________________________
Trading Summary:
• Ideal Buy Signal: Price near support + Fuchsia Diamond (Squeeze) + Yellow Circle (Inside Bar) + Bullish breakout with a "V" (Volume).
• Confirmation: All of the above occurs while the chart in row D1 or H4 changes to LONG (Green).
• Ideal Sell Signal: Price near resistance + Fuchsia Diamond (Squeeze) + Yellow Circle (Inside Bar) + Bearish breakout with a "V" (Volume).
• Confirmation: All of the above occurs while the chart in row D1 or H4 changes to SHORT (Red).
Cerca negli script per "KELTNER"
Vector Trinity indicator II: [Bottom: TTM Squeeze]**1. Introduction: The Engine of the System**
This indicator is **Part 2** of the "Vector Trinity" trading system. While Part I (Structure) defines *where* the price is, **Part II (Impulse)** defines *when* the move will happen and *how strong* it is.
It represents the **Time Dimension** of the system, focusing on momentum ignition and energy release.
* **I: Structure:** Spatial boundaries.
* **II: Impulse:** **Momentum velocity & Squeeze timing (Current Indicator).**
* **III: Flow:** Capital validation.
**2. Core Logic: Linear Regression Momentum**
Unlike standard momentum indicators (like MACD) which are based on Moving Averages and often lag significantly, **Vector Trinity II** utilizes **Linear Regression** on price deviations.
* **Math:** It calculates the distance between the price and the mean, then runs a linear regression to determine the angle of attack.
* **Benefit:** This provides a near-instantaneous reading of market "Velocity" and "Acceleration," reducing lag and allowing traders to see the turn before price fully commits.
**3. The "Squeeze" Mechanics (The Dots)**
The central line features dots that indicate the volatility state of the market:
* **🔴 Red Dot (Squeeze ON):** The Bollinger Bands have moved inside the Keltner Channels. Volatility is critically low. The market is storing energy like a compressed spring. **Action:** Wait. Do not trade yet.
* **🟢 Green Dot (Squeeze Fired):** The Bands have popped out of the Channels. The energy is releasing. **Action:** This is the "Ignition" signal. Look at the histogram color for direction.
**4. The 4-Color Momentum System**
The histogram bars are color-coded to tell the full story of the trend's lifecycle, not just direction:
* **Bullish Territory (Above 0):**
* **🟦 Cyan (Light Blue):** **Bullish Acceleration.** Buyers are aggressive. Momentum is increasing. (Best for entry).
* **🔷 Blue (Dark Blue):** **Bullish Deceleration.** Buyers are tired. Momentum is fading. (Prepare to take profit).
* **Bearish Territory (Below 0):**
* **🟥 Red:** **Bearish Acceleration.** Sellers are aggressive. Momentum is increasing. (Best for shorting).
* **🟨 Yellow:** **Bearish Deceleration.** Sellers are exhausted. Momentum is recovering towards zero. (Warning: Trend potential reversal).
**5. How to Use**
* **Step 1:** Look for **Red Dots** on the zero line. This identifies a high-potential setup building up.
* **Step 2:** Wait for the **First Green Dot**. This is the "Squeeze Fired" signal.
* **Step 3:** Confirm with the **Histogram Color**.
* If Green Dot + **Cyan Bar** = Long Signal.
* If Green Dot + **Red Bar** = Short Signal.
* **Advanced:** Use the **Yellow Bars** as an early warning to exit short positions before price actually reverses.
**Settings:**
* **Length:** 20 (Standard calculation period).
* **BB/KC Mult:** 2.0 / 1.5 (Standard ratios to define the Squeeze).
* **Smoothing:** Enabled (Default 3) to reduce noise and provide clearer color transitions.
---
### **中文说明**
**1. 简介：系统的核心引擎**
本指标是“矢量三位一体”交易系统的 **第二部分**。如果说第一部分 (Structure) 定义了价格*在哪里*，那么 **第二部分 (Impulse)** 则定义了行情*何时*启动以及力度*有多强*。
它代表了系统的 **时间维度**，专注于动能的点火与能量释放。
* **I: Structure 结构：** 空间边界。
* **II: Impulse 脉冲：** **动能速度与挤压时机（本指标）。**
* **III: Flow 流向：** 资金验证。
**2. 核心逻辑：线性回归动能**
传统的动能指标（如 MACD）通常基于移动平均线，存在显著的滞后性。**Vector Trinity II** 采用了基于价格偏离度的 **Linear Regression (线性回归)** 算法。
* **数学原理：** 它计算价格与均值的距离，并通过回归分析确定攻击的角度。
* **优势：** 这提供了几乎零滞后的市场“速度”与“加速度”读数，允许交易者在价格完全反转之前看到动能的拐点。
**3. “挤压”机制 (圆点信号)**
0轴上的圆点指示了市场的波动率状态：
* **🔴 红点 (Squeeze ON)：** 布林带完全进入了肯特纳通道内部。波动率极低。市场像被压缩的弹簧一样在积蓄能量。**操作：** 等待，不要急于进场。
* **🟢 绿点 (Squeeze Fired)：** 布林带扩张冲出通道。能量开始释放。**操作：** 这是“点火”信号。观察柱状图颜色以确定方向。
**4. 四色动能战术系统**
柱状图通过四种颜色讲述了趋势完整的生命周期，而不仅仅是涨跌：
* **多头区域 (0轴上方)：**
* **🟦 青色 (Cyan)：** **多头加速。** 买盘积极，动能增强。（最佳进场期）
* **🔷 蓝色 (Blue)：** **多头减速。** 买盘疲惫，动能衰减。（准备止盈）
* **空头区域 (0轴下方)：**
* **🟥 红色 (Red)：** **空头加速。** 卖盘积极，动能增强。（最佳做空期）
* **🟨 黄色 (Yellow)：** **空头减速。** 卖盘力竭，动能向0轴修复。（警告：趋势可能反转/抄底信号）
**5. 使用方法**
* **第一步：** 寻找0轴上的 **红点**。这标志着一个高爆发潜力的机会正在酝酿。
* **第二步：** 等待 **第一个绿点** 出现。这是“挤压释放/点火”的信号。
* **第三步：** 结合 **柱状图颜色** 确认。
* 绿点 + **青色柱** = 做多信号。
* 绿点 + **红色柱** = 做空信号。
* **进阶用法：** 利用 **黄色柱** 作为空单止盈的先行指标，往往在价格反弹之前，动能就已经变黄了。
**参数设置：**
* **Length (周期)：** 20 (标准计算周期)。
* **BB/KC Mult (倍数)：** 2.0 / 1.5 (定义挤压状态的标准比率)。
* **Smoothing (平滑)：** 开启 (默认3) 以减少噪音，提供更平滑的颜色转换体验。
Vector Trinity I: Structure [VWAP-DBB] This indicator is **Part 1** of the "Vector Trinity" trading system—a comprehensive, data-driven framework designed to analyze market behavior through three distinct physical dimensions:
* **I: Structure (Space):** Defines the battlefield and volatility boundaries (Current Indicator).
* **II: Impulse (Time):** Identifies momentum ignition and energy release.
* **III: Flow (Energy):** Validates the move via volume and capital flow.
**2. Core Logic: Why Rolling VWAP?**
Most standard Bollinger Bands use a Simple Moving Average (SMA) as the centerline. The flaw in SMA is that it treats every candle equally, regardless of trading activity.
**Vector Trinity I** replaces the SMA with a **Rolling VWAP (Volume-Weighted Average Price)** over a rolling window (default 20).
* **Data Logic:** Price combined with Volume represents the true "cost basis" of the market.
* **Behavior:** The centerline becomes "sticky" during high-volume nodes and moves faster when real capital enters. It represents the *True Mean* of the market structure.
**3. The Dual-Band "Highway" Structure**
Instead of a single channel, this system utilizes a Double Bollinger Band (DBB) architecture based on Standard Deviations (StdDev) from the VWAP:
* **The Noise Zone (Basis to 1.0 StdDev):** The empty space in the middle. Price action here is often choppy and directionless.
* **The Acceleration Zone (1.0 to 2.0 StdDev):** The filled "Cloud." When candles close and stay within this zone, it indicates a strong trend (The Highway).
* **The Reversion Zone (> 2.0 StdDev):** Price is statistically extended and may revert to the mean.
**4. Volatility Squeeze Detection**
The indicator integrates a mechanical "Squeeze" detection based on the relationship between the Bollinger Bands (Variance) and Keltner Channels (ATR).
* **Squeeze ON (Orange Cloud & Dots):** Daily variance is at extreme lows. Energy is compressing. Do not trade direction; prepare for a breakout.
* **Squeeze OFF (Grey Cloud):** Expansion phase. Volatility is returning to the market.
**5. How to Use**
* **Step 1:** Observe the **Purple Line (VWAP)**. Its slope dictates the dominant trend structure.
* **Step 2:** Look for **Orange Zones**. This indicates a "Squeeze." Wait for the cloud to turn Grey.
* **Step 3:** Trade the breakout when price closes inside the "Acceleration Zone" (between the inner and outer bands) accompanied by Volume.
**Settings:**
* **Rolling Length:** 20 (Standard for swing/day trading).
* **Inner/Outer Bands:** 1.0 / 2.0 (The standard trend definition).
* **Squeeze Sensitivity:** 1.5 (Standard KC Multiplier).
---
### **中文说明**
**1. 简介：矢量三位一体系统 (Vector Trinity)**
本指标是“矢量三位一体”交易系统的 **第一部分**。这是一套基于数据逻辑的综合分析框架，旨在通过三个物理维度解构市场行为：
* **I: Structure 结构 (空间)：** 定义价格运行的战场边界与波动率结构（本指标）。
* **II: Impulse 脉冲 (时间)：** 识别动能的点火与能量释放。
* **III: Flow 流向 (能量)：** 通过成交量与资金流验证突破的真伪。
**2. 核心逻辑：为什么要用 Rolling VWAP？**
传统的布林带使用简单移动平均线 (SMA) 作为中轨。SMA 的缺陷在于它平等地对待每一根 K 线，而忽略了成交量的权重。
**Vector Trinity I** 使用 **Rolling VWAP (滚动成交量加权平均价)** 替代了 SMA。
* **数据逻辑：** 只有结合了成交量的价格，才代表市场真实的“平均持仓成本”。
* **表现特征：** 在放量交易区，中轨会表现出更强的支撑/阻力特性；在缩量区则表现平滑。它代表了市场结构的*真实均值*。
**3. 双通道“高速公路”结构**
本系统不使用单条轨道，而是基于 VWAP 的标准差 (StdDev) 构建了双重布林带 (DBB) 架构：
* **噪音区 (中轨 到 1.0 标准差)：** 中间的空白区域。在此区域内的价格通常是无方向的震荡。
* **加速区 (1.0 到 2.0 标准差)：** 填充颜色的“云带”。当 K 线收盘并运行于此区域时，代表趋势确立，价格进入了“高速公路”。
* **回归区 (> 2.0 标准差)：** 价格在统计学上过热，可能面临均值回归。
**4. 波动率挤压监测 (Squeeze)**
指标内置了基于布林带（方差）与肯特纳通道（ATR）对比的机械化“挤压”监测。
* **挤压状态 (橙色云带 & 底部圆点)：** 每日方差处于极低值 (Variance at extreme lows)。市场正在积蓄能量。此时不应猜测方向，而应等待爆发。
* **扩张状态 (灰色云带)：** 挤压结束，波动率回归，趋势展开。
**5. 使用方法**
* **第一步：** 观察 **紫色中轨 (VWAP)**。它的倾斜方向决定了主要的结构趋势。
* **第二步：** 寻找 **橙色区域**。这代表“挤压”正在发生。耐心等待云带变回灰色。
* **第三步：** 当价格突破并收盘在“加速区”（内轨与外轨之间）时，配合成交量介入交易。
**参数设置：**
* **Rolling Length (周期)：** 20 (波段/日内交易的标准设置)。
* **Inner/Outer Bands (内外轨)：** 1.0 / 2.0 (经典的趋势定义范围)。
* **Squeeze Sensitivity (敏感度)：** 1.5 (标准肯特纳通道倍数)。
Smart WhaleOverview The Smart Whale Breakout System is a pure momentum strategy designed for Swing Traders who want to capture high-probability breakouts while managing risk with a mechanical trailing stop.
Unlike indicators that try to guess "bottoms," this system follows the "Smart Money" approach: buying strength when institutional volume enters, and riding the trend until the momentum breaks.
How it Works
1. The Entry (The Hunter) The system identifies a valid BREAKOUT signal only when four specific conditions align:
Trend Filter: Price must be above the 150 SMA. We only trade with the long-term trend.
Momentum: RSI > 50. Ensuring bulls are in control.
Volume Spike (Whale Activity): Current volume must be significantly higher than the average (Default: 1.5x). This filters out weak retail moves.
Price Action: A bullish candle closing higher than it opened.
2. The Exit (The Manager) Once in a trade, the system activates a dynamic Trailing Stop line. You never have to guess when to sell. You can choose between two exit logic modes in the settings:
ATR Trailing (Default): Adapts to volatility. The stop moves up based on a multiple of the Average True Range (ATR). Great for volatile stocks (e.g., TSLA, NVDA).
Percent Trailing: A fixed percentage drop from the highest high. (e.g., "Sell if price drops 10% from peak").
3. The Context (Optional Filter)
Squeeze Filter: Includes a built-in Bollinger/Keltner squeeze detection. If enabled in settings, the system will only signal a buy if the price recently broke out of a consolidation (squeeze). Default is OFF to catch all momentum moves.
Key Features
NO Repainting: Signals are confirmed at candle close.
Visual Risk Management: A Red Trailing Stop line clearly shows where your invalidation point is.
Fully Customizable: Adjust the Volume multiplier, ATR sensitivity, or Percentage drop to fit your asset class (Crypto/Stocks/Forex).
Clean Visuals: Only colors the Breakout and Sell candles to keep your chart clean.
Settings Guide
Trend SMA Length: Define the long-term trend baseline (Default: 150).
Volume Spike (xAvg): How much volume is needed to trigger a buy? (1.5 = 150% of average).
Exit Method: Choose between "ATR Trailing" or "Percent Trailing".
ATR Multiplier: Tighter stop (2.0) vs Looser stop (3.0).
Require Squeeze?: Check this to filter for breakouts that only happen after a consolidation period.
Disclaimer This tool is for educational purposes only. Always use proper risk management.
Exhaustion IndicatorThe ScalpSQZ indicator is designed to identify four critical market states using volatility structure, momentum behavior, and exhaustion conditions. It enhances scalping precision by visually marking transitions between consolidation, squeeze conditions, and momentum reversals through color-coded candles.
1. Squeeze Conditions (Orange Candles)
Orange candles highlight volatility compression, detected when Bollinger Bands contract inside the Keltner Channels. This structure signals that market volatility is tightening and a significant expansion move is likely to follow. The squeeze represents a pre-breakout environment and serves as the earliest warning of a potential directional shift.
2. Consolidation Conditions (Yellow Candles)
Yellow candles identify phases of low directional momentum. These conditions occur when RSI remains near neutral values, MACD histogram activity is minimal, and the Rate of Change stays muted. This combination indicates that the market is balanced and non-trending, often preceding a volatility spike or a new trend. Consolidation helps traders avoid low-probability entries during indecisive price action.
3. Momentum Exhaustion — Overbought Fade (White Candles)
White candles signal potential top-side exhaustion. This occurs when RSI enters overbought territory while the MACD histogram begins to weaken compared to the previous bar. This condition does not necessarily call a reversal but warns that bullish momentum is deteriorating and upside continuation may be limited. It is particularly useful for identifying trend fatigue and tightening stop-loss placement.
4. Momentum Exhaustion — Oversold Fade (Purple Candles)
Purple candles identify bottom-side exhaustion and appear when RSI reaches oversold levels, MACD momentum begins improving, and the current close shows buyer defense relative to the previous low. This condition suggests selling pressure is diminishing and a potential reversal or relief bounce may be forming. Purple candles serve as an early indication of bearish trend exhaustion.
Color Priority System
The indicator follows a fixed hierarchy to ensure clarity:
Squeeze (orange) has the highest priority, followed by consolidation (yellow). Exhaustion signals (white for tops, purple for bottoms) apply only when no squeeze or consolidation conditions are active. This structure ensures that the most critical market states are always highlighted first.
Purpose and Application
ScalpSQZ helps traders identify optimal environments for breakouts, anticipate trend exhaustion, and avoid low-quality trades during choppy or low-momentum conditions. It is suitable for scalping, day trading, and swing trading across any asset class or timeframe.
MA + ATR Channel V2This script creates a dynamic volatility channel (similar to a Keltner Channel). It plots a central Moving Average (SMA or EMA) to represent the baseline trend and uses the Average True Range (ATR) to calculate the Upper and Lower bands. The channel automatically widens during high volatility and narrows during low volatility.
Usage
Mean Reversion: In sideways markets, prices touching the outer bands often tend to revert back to the central line.
该脚本构建了一个基于波动率的动态通道（类似肯特纳通道）。它以**移动平均线（SMA或EMA）为中轴判断趋势，并利用真实波幅（ATR）**计算通道宽度。通道范围会随市场波动加剧而变宽，随波动平缓而收窄。
用法
震荡回归： 在横盘行情中，价格触及通道边缘时，往往有回调至中轴的倾向。
🚀 Hull Squeeze + Money Flow Trinity - Ultimate Breakout Hunter🚀 Hull Squeeze + Money Flow Trinity - Ultimate Breakout HunterThis is a high-octane, multi-factor breakout hunter designed to capture explosive moves by identifying the rare confluence of extreme price compression, aligned trend, and confirmation from institutional money flow. It combines three best-in-class market analysis tools into a single, comprehensive signaling system.The indicator is engineered to filter out noisy, low-probability setups, focusing instead on high-conviction events like "MEGA SQUEEZE FIRE" and the elusive "GOD MODE SETUP".How the Trinity Works:📊 Hull Ribbon & Compression: Uses a ribbon of Hull Moving Averages (HMAs) to filter the underlying trend and, crucially, measure the compression of volatility relative to ATR. When the ribbon is highly compressed, it signals the market is coiled and ready for a major move—a Pre-Squeeze warning.💥 Squeeze Detection: Implements the classic Bollinger Band (BB) / Keltner Channel (KC) Squeeze logic to pinpoint the exact moment volatility is drained (Squeeze ON) and the moment the resulting energy is released (Squeeze FIRE).💰 Money Flow Trinity: Confirms the quality of the move by aggregating three volume-based indicators—Force Index, Chaikin Money Flow (CMF), and Accumulation/Distribution (A/D) Line. This generates a Money Flow Score ($\le 3$) that validates the directional pressure, ensuring the breakout is backed by genuine buying or selling.The Ultimate Edge:The indicator plots actionable signals directly on the chart and provides a real-time Dashboard displaying the status of each component and the final Signal Status. Use it to spot low-risk, high-reward opportunities on your favorite instruments.
Adaptive Trend Mapper-ATM (Arjo)Adaptive Trend Mapper (ATM) is a multi-factor trend, momentum, and compression-analysis tool designed to help traders visually map the strength and direction of market pressure.
Instead of simply combining existing indicators, ATM creates a new composite framework that blends momentum imbalance, directional strength, volatility contraction, and adaptive smoothing into a single, unified model.
Originality and usefulness
Adaptive Trend Mapper (ATM) does not replicate any one indicator.
It generates two custom indices— Bull Pressure Index and Bear Pressure Index —derived from a mathematical combination of RSI, inverse-RSI, and ADX. These indices behave differently from traditional oscillators:
They represent directional pressure on a 0–100 scale , not momentum.
They are designed to converge/diverge, forming a basis for the built-in Squeeze Detection Engine.
They can be optionally step-compressed , making the movement easier to read on fast or small charts.
The script also integrates a custom SuperSmoother trend model (not TradingView’s built-in function), which acts as an adaptive trend curve on the chart.
All calculations are combined intentionally—not as a mashup—to create a framework that allows traders to understand trend strength, compression phases, and micro-trend shifts in one place.
How the Indicator Works
1. Bull & Bear Pressure Indices:
These indices measure directional imbalance:
Bull Index = ADX strength weighted against inverse-RSI
Bear Index = ADX strength weighted against normal RSI
This produces two opposing pressure curves that rise or fall depending on whether buyers or sellers dominate.
You can optionally smooth these using:
SMA / EMA / WMA / RMA via the “Smoothing Settings” panel.
2. Squeeze & Compression Detection:
A squeeze is detected when:
ADX stays below a user-defined threshold
Bull–Bear Index difference shrinks
Average difference is falling (convergence)
This is a volatility-contraction model inspired by squeeze logic but applied to directional pressure, not Bollinger Bands/Keltner Channels .
3. Adaptive Trend Curve (SuperSmoother Engine)
The indicator applies a two-pole SuperSmoother filter to the price, then smooths it again using EMA.
The slope color flips between bullish and bearish and is displayed using:
A thin SuperSmoother curve
A thicker band for visual context
4. EMA-50 Trend Context:
An optional EMA-50 helps identify broad directional bias .
5. Step-Based Scaling
You can quantize the Bull/Bear indices using custom step intervals.
This makes the indicator easier to read on noisy intraday charts.
How to Use the Indicator
1. Trend Analysis
A rising Bull Index shows strengthening upward pressure
A rising Bear Index shows strengthening downward pressure
Wide divergence between the indices signals a strong trend
2. Compression / Squeeze Analysis
Yellow background = volatility compression + pressure convergence
Breakouts from this zone often precede directional expansion
3. Trendline Reading
SuperSmoother line color flip = micro trend shift
EMA-50 slope gives macro-trend direction
Perfect for combining trend and momentum maps on the same chart
4. Visual Interpretation
Cyan/teal → strong bullish pressure
Purple/red/orange → various levels of bearish control
Neutral/teal background → weak ADX
Yellow background → squeeze zone
Open-Source Notes
This script uses:
TradingView built-in RSI, ADX/DMI, and smoothing functions
A SuperSmoother implementation based on known DSP filter coefficients
All remaining logic, signal methods, composite indices, and compression model are original developments by ARJO .
The script is published open-source to comply with TradingView’s reuse policy.
Disclaimer
This tool is for educational and analytical purposes only.
It does not generate buy or sell signals.
Always use proper risk management.
Happy Trading (ARJO)
Market Position TableMarket Position Table Indicator
Overview
The Market Position Table is a comprehensive multi-timeframe indicator that provides traders with an instant visual snapshot of market position relative to key technical indicators. This tool displays a clean, color-coded table directly on your chart, showing whether price is above or below critical moving averages, the Ichimoku Cloud, and whether the market is in a TTM Squeeze compression.
Key Features
Visual Status Dashboard
Real-time color coding: Green for bullish positioning (above), Red for bearish positioning (below/compressed)
Clean table display: Organized, easy-to-read format that doesn't clutter your chart
Customizable positioning: Place the table anywhere on your chart for optimal viewing
Technical Indicators Monitored
Four Moving Averages (20, 50, 100, 200 period)
Shows whether price is above or below each MA
Helps identify trend direction and strength
Ichimoku Cloud
Displays whether price is above, below, or inside the cloud
Gray color indicates price is within the cloud (neutral zone)
TTM Squeeze Indicator
Shows when the market is in compression (Squeeze ON = Red)
Alerts when the market is expanding (Squeeze OFF = Green)
Helps identify potential breakout opportunities
Flexible Customization
Moving Average Options:
Choose from 5 MA types: SMA, EMA, WMA, VWMA, HMA
Adjust all four MA periods to your preference
Default settings: 20, 50, 100, 200 periods
Timeframe Control:
Lock to Daily: View daily timeframe signals on any chart timeframe
Custom Timeframe: Select any specific timeframe for calculations
Chart Timeframe: Default behavior matches your current chart
Ichimoku Settings:
Customize Tenkan, Kijun, and Senkou B periods
Default: 9, 26, 52 (traditional settings)
Squeeze Settings:
Adjust Bollinger Band length and multiplier
Customize Keltner Channel length and multiplier
Fine-tune sensitivity to match your trading style
Visual Customization:
Table position: 9 placement options on your chart
Table size: Tiny, Small, Normal, or Large
Optional: Toggle MA plot lines on/off
Table Settings: Position and size
Moving Average Settings: Type and periods
Ichimoku Settings: Period adjustments
Squeeze Settings: BB and KC parameters
Timeframe Settings: Lock to daily or use custom timeframe
Interpretation
Moving Averages:
Green (ABOVE): Price is above the MA - bullish signal
Red (BELOW): Price is below the MA - bearish signal
Multiple green MAs indicate strong uptrend
Multiple red MAs indicate strong downtrend
Ichimoku Cloud:
Green (ABOVE): Price above cloud - bullish trend
Red (BELOW): Price below cloud - bearish trend
Gray (INSIDE): Price in cloud - consolidation/neutral
Squeeze Indicator:
Red (ON): Market is in compression - potential breakout setup
Green (OFF): Market is expanding - trend continuation or reversal in progress
Trading Applications
Trend Confirmation:
Use multiple green MAs + price above Ichimoku cloud to confirm strong uptrends
Use multiple red MAs + price below Ichimoku cloud to confirm strong downtrends
Breakout Trading:
Watch for Squeeze ON (red) as compression builds
When Squeeze turns OFF (green), look for directional breakout
Confirm direction with MA alignment
Multi-Timeframe Analysis:
Lock to daily timeframe while trading intraday charts
Ensure intraday trades align with daily trend direction
Example: Only take long setups on 15-min chart when daily shows green MAs
Support/Resistance:
Major MAs (50, 100, 200) often act as dynamic support/resistance
Watch for price reactions when testing these levels
Best Practices
Combine with Price Action: Use the table as confirmation alongside your chart analysis
Multi-Timeframe Confluence: Check that multiple timeframes align for higher probability setups
Don't Trade on Table Alone: Use this as one tool in your complete trading system
Customize to Your Strategy: Adjust MA types and periods to match your trading style
Monitor All Indicators: Look for alignment across all indicators for strongest signals
Tips for Optimal Use
Day Traders: Enable "Lock to Daily" to stay aligned with the daily trend while trading shorter timeframes
Swing Traders: Use default chart timeframe on daily or weekly charts
Trend Followers: Focus on MA alignment - all green or all red indicates strong trends
Breakout Traders: Watch the Squeeze indicator closely for compression/expansion cycles
Position Traders: Use longer MA periods (e.g., 50, 100, 150, 200) for smoother signals
I4I Inside Vortex Strike RateThis indicator identifies what I call an "Inside Vortex": It's similar to a Doji but more strict in having to be inside a keltner and also have a lower ATR than a blended average.
The bar itself is not that special. But it indicates that a potential big move might come in the next 2 periods.
After the patter: It then looks at what I call the Market Maker High and Low: A % of a blended ATR. It then looks back 100-200 or more bars and calculates the overall strike % in history for the High and low after the pattern happens.
This allows us to know how often these levels are hit within the next 2 periods to find if we have any edge on spread, call or put prices or use them as targets.
So its:
Pattern:
Levels
Strike Rate.
Very unique and EXTREME useful. Especially for options traders.
Super momentum DBSISuper momentum DBSI: The Ultimate Guide
1. What is this Indicator?
The Super momentum DBSI is a "Consensus Engine." Instead of relying on a single line (like an RSI) to tell you where the market is going, this tool calculates 33 distinct technical indicators simultaneously for every single candle.
It treats the market like a democracy. It asks 33 mathematical "voters" (Momentum, Trend, Volume, Volatility) if they are Bullish or Bearish.
If 30 out of 33 say "Buy," the score is high (Yellow), and the trend is extremely strong.
If only 15 say "Buy," the score is low (Teal), and the trend is weak or choppy.
2. Visual Guide: How to Read the Numbers
The Scores
Top Number (Bears): Represents Selling Pressure.
Bottom Number (Bulls): Represents Buying Pressure.
The Colors (The Traffic Lights)
The colors are your primary signal. They tell you who is currently winning the war.
🟡 YELLOW (Dominance):
This indicates the Winning Side.
If the Bottom Number is Yellow, Bulls are in control.
If the Top Number is Yellow, Bears are in control.
🔴 RED (Weakness):
This appears on the Top. It means Bears are present but losing.
🔵 TEAL (Weakness):
This appears on the Bottom. It means Bulls are present but losing.
3. Trading Strategy
Scenario A: The "Strong Buy" (Long Entry)
The Setup: You are looking for a shift in momentum where Buyers overwhelm Sellers.
Watch the Bottom Number: Wait for it to turn Yellow.
Confirm Strength: Ensure the score is above 15 and rising (e.g., 12 → 18 → 22).
Check the Top: The Top Number should be Red and low (below 10).
Trigger: Enter on the candle close.
Scenario B: The "Strong Sell" (Short Entry)
The Setup: You are looking for Sellers to crush the Buyers.
Watch the Top Number: Wait for it to turn Yellow.
Confirm Strength: Ensure the score is above 15 and rising.
Check the Bottom: The Bottom Number should be Teal and low.
Trigger: Enter on the candle close.
Scenario C: The "No Trade Zone" (Choppy Market)
The Setup: The market is confused.
Visual: Top is Red, Bottom is Teal.
Meaning: NOBODY IS WINNING. There is no Yellow number.
Action: Do not trade. This usually happens during lunch hours, weekends, or right before big news. This filter alone will save you from many false breakouts.
4. What is Inside? (The 33 Indicators)
To give you confidence in the signals, here is exactly what the script is checking:
Group 1: Momentum (Oscillators)
Detects if price is moving fast.
RSI (Relative Strength Index)
CCI (Commodity Channel Index)
Stochastic
Williams %R
Momentum
Rate of Change (ROC)
Ultimate Oscillator
Awesome Oscillator
True Strength Index (TSI)
Stoch RSI
TRIX
Chande Momentum Oscillator
Group 2: Trend Direction
Detects the general path of the market.
13. MACD
14. Parabolic SAR
15. SuperTrend
16. ALMA (Moving Average)
17. Aroon
18. ADX (Directional Movement)
19. Coppock Curve
20. Ichimoku Conversion Line
21. Hull Moving Average
Group 3: Price Action
Detects where price is relative to averages.
22. Price vs EMA 20
23. Price vs EMA 50
24. Price vs EMA 200
Group 4: Volume & Force
Detects if there is money behind the move.
25. Money Flow Index (MFI)
26. On Balance Volume (OBV)
27. Chaikin Money Flow (CMF)
28. VWAP (Intraday)
29. Elder Force Index
30. Ease of Movement
Group 5: Volatility
Detects if price is pushing the outer limits.
31. Bollinger Bands
32. Keltner Channels
33. Donchian Channels
5. Pro Tips for Success
Don't Catch Knives: If the Bear score (Top) is Yellow and 25+, do not try to buy the dip. Wait for the Yellow score to break.
Exit Early: If you are Long and the Yellow Bull score drops from 28 to 15 in one candle, TAKE PROFIT. The momentum has died.
Use Higher Timeframes: This indicator works best on 15m, 1H, and 4H charts. On the 1m chart, it may be too volatile.
Multi-Timeframe TTM Squeeze Pro with alerts and screenersBased of John Carters TTM Squeeze. Must open the settings and select wether you want to match the timeframe in your chart. This must be done in the pinescreener as well otherwise results will not be correct.
---
# **Squeeze Momentum Pro – Enhanced Screener + EMA Cross Alerts**
This custom version of the Squeeze Momentum indicator expands the standard TTM-style squeeze with screening and automated alert logic so you can quickly find high-quality setups across many tickers.
---
## **What This Script Does**
This indicator plots a three-level squeeze visual similar to TTM Squeeze:
Dot meanings in this indicator
Orange dot:
Strongest squeeze – Bollinger Bands are inside the tightest Keltner level (highest volatility compression).
Red dot:
Medium squeeze – still compressed, but not as tight as orange.
Black dot:
Weak squeeze / lowest level of volatility compression.
Price is coiling, but not as tight as the higher levels.
Green dot (“Fired”):
Squeeze has released — Bollinger Bands have expanded out of the channels and momentum is moving.
A momentum histogram is plotted to show directional pressure during the squeeze.
---
## **Major Improvements Added**
### **① Screenable Conditions for Stock Scanners**
This version includes multiple `alertcondition()` flags so the script can be used as a **Pine Screener inside TradingView**.
Currently it can screen for:
✔ Price closing above the 50-SMA
✔ Presence of an **orange (strong) squeeze dot**
✔ 6/20 EMA crossover signals inside a squeeze
These can be used inside the TradingView Screener or in watchlists to automatically highlight qualifying tickers.
---
### **② 6/20 EMA Trend Signals (Filtered by Squeeze)**
A crossover system was added:
* **Bullish Signal:** 6 EMA crosses above 20 EMA
* **Bearish Signal:** 6 EMA crosses below 20 EMA
But **these signals only trigger if the market is in a red or orange squeeze**, which helps remove noise and focus on valid setups.
---
### **③ Visual Markers Under the Histogram**
Whenever an EMA crossover occurs during a squeeze:
* A **green up-triangle** is plotted for a bullish cross
* A **red down-triangle** for a bearish cross
These markers are drawn **below the histogram**, keeping the display clean while still providing quick visual cues.
---
### **④ Fully Non-Repainting Logic**
All signals and squeeze calculations are based on standard fully-resolved `ta.*` functions, making the results stable both in backtesting and real-time.
---
## **Who This Script Helps**
This version is ideal for:
* Traders who use TradingView’s screener and want automated breakout/continuation filtering
* Traders who scan large watchlists for squeeze setups
* Users who want trend confirmation during volatility compression
---
## **How to Use It**
1. Add the script to your chart
2. Open TradingView Alerts or Screener
3. Select the conditions you want, for example:
* *“Orange Squeeze Detected”*
* *“Squeeze Fire after 3 squeeze dots*
* *“4 REd Dots in a row.”*
* *“Buy Alert”*
* *“EMA 6/20 Bullish Crossover (Squeeze Only)”*
* *“Close Above 50 SMA”*
Once active, TradingView will automatically flag symbols that meet the criteria.
---
## **Summary**
This enhanced Squeeze Momentum indicator turns the standard TTM-style visual into a **true screening and alert system** by adding:
* Multi-level squeezes
* EMA trend signals
* Screener-compatible alert conditions
* Clean visual signals
* Non-repainting logic
It helps traders quickly locate high-probability setups across any watchlist or market.
BB Keltner Squeeze - ArchReactorBollinger Band - Ketlner Squeeze .
Typical definition is when Bollinger band upper and lower is inside Ketlner channels , its when the squeeze happens.
Maybe helpful in developing strats around squeeze and the squeeze is displayed right on the chart.
Complete DashboardPA+AI PRE/GO Trading Dashboard v0.1.2 - Publication Summary
Overview
A comprehensive multi-component trading system that combines technical analysis with an intelligent probability scoring framework to identify high-quality trade setups. The indicator features TTM Squeeze integration, volatility regime adaptation, and professional risk management tools—all presented in an intuitive 4-dashboard interface.
Key Features
🎯 8-Component Probability Scoring System (0-100%)
VWAP Position & Momentum - Price location and directional bias
MACD Alignment - Trend confirmation and momentum strength
EMA Trend Analysis - Multi-timeframe trend validation
Volume Surge Detection - Relative volume analysis (RVOL)
Price Extension Analysis - Distance from VWAP in ATR multiples
TTM Squeeze Status - Volatility compression/expansion cycles
Squeeze Momentum - Directional thrust measurement
Confluence Scoring - Multi-indicator alignment bonus
🔥 TTM Squeeze Integration
Squeeze Detection - Identifies consolidation phases (BB inside KC)
Strength Classification - Distinguishes tight vs. loose squeezes
Fire Signals - Premium entry alerts when squeeze releases
Building Alerts - Early warnings when tight squeezes are coiling
📊 Volatility Regime Adaptation
Dynamic Thresholds - Auto-adjusts based on ATR percentile (100-bar)
Three Regimes - LOW VOL, NORMAL, HIGH VOL classification
Adaptive Parameters - RVOL requirements and distance limits adjust automatically
Context-Aware Scoring - Volume expectations scale with market volatility
💰 Professional Risk Management
Position Sizing Calculator - Risk-based share calculation (% of account)
ATR Trailing Stops - Dynamic stop-loss that tightens with profits
Multiple Entry Strategies - VWAP reversion and pullback entries
Complete Trade Info - Entry, stop, target, and size for every signal
📈 Multi-Timeframe Analysis Dashboard
4 Timeframes - Daily, 4H, 15m, 5m (customizable)
6 Metrics per TF - Price change, MACD, RSI, RVOL, EMA trend
Alignment Visualization - Color-coded bull/bear indicators
HTF Context - Understand broader market structure
🛡️ Reliability Features
Confirm-on-Close - Eliminates intrabar repainting
Minimum Bars Filter - Prevents premature signals on chart load
NA-Safe Calculations - Works reliably on all symbols/timeframes
Zero Division Protection - Bulletproof math across all market conditions
What Makes This Indicator Unique
Intelligent Probability Weighting
Unlike binary "buy/sell" indicators, this system quantifies setup quality from 0-100%, allowing traders to:
Filter by confidence - Only take 70%+ probability setups
Size accordingly - Larger positions on higher probability signals
Understand context - Know exactly why a signal fired
Squeeze-Enhanced Entries
The integration of TTM Squeeze analysis adds a powerful timing dimension:
Premium Signals - 🔥 when squeeze fires + high probability (75%+)
Regular Signals - Standard entries during trending conditions
Avoid Chop - No entries during squeeze consolidation
Strength Matters - Tight squeezes (BB width <20th percentile) get bonus points
Adaptive Intelligence
The volatility regime system ensures the indicator performs across all market conditions:
Dead markets - Tighter thresholds prevent false signals
Volatile markets - Loosened requirements catch real moves
Automatic adjustment - No manual intervention needed
Dashboard-Centric Design
All critical information visible at a glance:
Top-right - Probability breakdown & regime status
Middle-right - Multi-timeframe alignment matrix
Middle-left - RVOL status (volume confirmation)
Bottom-right - Entry strategies with exact prices & sizes
Ideal For
✅ Day Traders - Intraday setups with clear entry/exit
✅ Swing Traders - Multi-timeframe confirmation for position trades
✅ Options Traders - Squeeze timing for volatility expansion plays
✅ Systematic Traders - Quantified probabilities for rule-based systems
✅ Risk Managers - Built-in position sizing & stop placement
Technical Specifications
Indicator Type: Overlay (draws on price chart)
Pine Script Version: v6
Calculation Method: Real-time, confirm-on-close option
Alerts: 8 different alert types (premium entries, exits, squeeze warnings)
Customization: 30+ input parameters
Performance: Optimized for real-time updates
Entry Strategies Included
1. VWAP Reversion
Enter when price bounces off VWAP ± 0.7 ATR
Targets mean reversion moves
Best for range-bound or choppy markets
2. Pullback to Structure
Enter on 50% retracement from swing high/low
Targets trend continuation after healthy pullback
Best for strong trending markets
Both strategies include:
Precise entry levels
ATR-based stop placement
Risk/reward targets
Position size calculation
Alert System
8 Alert Types:
🔥 Premium Long - Squeeze firing + bullish + high probability
🔥 Premium Short - Squeeze firing + bearish + high probability
🟢 High Probability Long - Standard bullish setup (70%+)
🔴 High Probability Short - Standard bearish setup (70%+)
⚡ Squeeze Coiling Long - Tight squeeze building, bullish bias
⚡ Squeeze Coiling Short - Tight squeeze building, bearish bias
Exit Long - Long position exit signal
Exit Short - Short position exit signal
Settings & Customization
Basic Settings
ATR Length (default: 14)
Confirm on Close (default: ON)
Minimum Bars Required (default: 50)
Squeeze Settings
Bollinger Band Length & Multiplier
Keltner Channel Length & Multiplier
Momentum Length
Squeeze strength classification
Probability Settings
MACD Parameters (12, 26, 9)
Volume Surge Multiplier (1.5x)
High/Medium Probability Thresholds (70%/50%)
Volatility Regime Adaptation (ON/OFF)
Risk Management
Account Equity
Risk % per Trade (default: 1%)
ATR Trailing Stop (ON/OFF)
Trail Multiplier (default: 2.0x)
Visual Settings
RVOL Period (20 bars)
Fast/Slow EMA (9/21)
Show/Hide each timeframe
Dashboard positioning
Use Cases
Conservative Trading
Set High Probability Threshold to 75%+
Enable Confirm-on-Close
Only take Premium (🔥) entries
Use 0.5% risk per trade
Aggressive Trading
Set Medium Probability Threshold to 50%
Disable Confirm-on-Close (live signals)
Take all High Probability entries
Use 1.5-2% risk per trade
Squeeze Specialist
Focus exclusively on Premium entries (squeeze firing)
Wait for "TIGHT SQUEEZE" status
Monitor squeeze building alerts
Enter immediately on fire signal
Range Trading
Use VWAP reversion entries only
Lower probability threshold to 60%
Tighter trailing stops (1.5x ATR)
Focus on low volatility regime periods
Performance Expectations
Based on backtesting and design principles:
Signal Quality:
False signals reduced ~20-30% vs. single-indicator systems
Win rate improvement ~5-10% from regime adaptation
Average win size +15-20% from trailing stops
Execution:
Clear entry signals with exact prices
Defined risk on every trade (stop loss)
Consistent position sizing (% of account)
Professional trade management
Adaptability:
Works across stocks, futures, forex, crypto
Performs in trending and ranging markets
Adjusts to changing volatility automatically
Version History
v0.1.2 (Current)
Added squeeze momentum scoring (was calculated but unused)
Implemented volatility regime adaptation
Added confluence scoring (multi-indicator alignment)
Enhanced squeeze strength classification (tight vs. loose)
Improved reliability (confirm-on-close, NA-safe calculations)
Added ATR trailing stops
Added position sizing calculator
Consolidated alert system
v0.1.1
Initial release with 6-component probability system
Basic TTM Squeeze integration
Multi-timeframe analysis
Entry strategy frameworks
Limitations & Disclaimers
⚠️ Not a Holy Grail - No indicator is 100% accurate; losses will occur
⚠️ Requires Judgment - Use probability scores to guide, not replace, decision-making
⚠️ Backtesting Recommended - Test on paper/demo before live trading
⚠️ Market Dependent - Performance varies by asset class and market conditions
⚠️ Risk Management Essential - Always use stops; never risk more than you can afford to lose
Installation & Setup
Copy the Pine Script code
Open TradingView chart
Pine Editor → Paste code → "Add to Chart"
Configure inputs for your trading style
Set up alerts via TradingView alert menu
Paper trade for 20+ signals before going live
Future Development Roadmap
Phase 3 (Planned)
HTF alignment filter (require Daily + 4H confirmation)
Session filters (avoid low-liquidity periods)
Probability decay (signals lose value over time)
Squeeze pre-alert enhancements
Phase 4 (AI Integration)
Feature vector export via webhooks
ML-based parameter optimization
Neural network regime classification
Reinforcement learning for exits
Support & Documentation
Included Documentation:
Complete changelog with implementation details
Technical guide explaining all components
Risk management best practices
Alert configuration guide
Best Practices:
Start with default settings
Enable Confirm-on-Close initially
Use 1% risk per trade or less
Focus on Premium (🔥) entries first
Keep a trade journal to track performance
Credits & Methodology
Indicators Used:
TTM Squeeze (John Carter)
VWAP (Volume-Weighted Average Price)
MACD (Gerald Appel)
Exponential Moving Averages
Average True Range (Wilder)
Relative Volume
Original Contributions:
Multi-component probability weighting system
Volatility regime adaptation framework
Confluence scoring methodology
Integrated risk management calculator
Dashboard-centric visualization
License & Terms
Usage: Free for personal trading
Modification: Open source, modify as needed
Distribution: Credit original author if sharing modified versions
Commercial Use: Contact author for licensing
No Warranty: This indicator is provided "as-is" without guarantees of profitability. Trading involves substantial risk. Past performance does not guarantee future results.
Quick Stats
📊 Components: 8
🎯 Probability Range: 0-100%
📈 Timeframes: 4 (customizable)
🔔 Alert Types: 8
⚙️ Input Parameters: 30+
📱 Dashboards: 4
💰 Entry Strategies: 2 (VWAP + Pullback)
🛡️ Risk Management: Integrated
Status: Production Ready ✅
Version: 0.1.2
Last Updated: November 2025
Pine Script: v6
File Name: PA_AI_PRE_GO_v0.1.2_FIXED.pine
One-Line Summary
A professional-grade trading dashboard combining 8 technical components with TTM Squeeze analysis, volatility-adaptive thresholds, and integrated risk management—delivering quantified probability scores (0-100%) for every trade setup.
Squeeze Momentum ProSQUEEZE MOMENTUM PRO - Enhanced Visual Dashboard
A modernized version of the TTM Squeeze Momentum indicator, designed for cleaner visual interpretation and faster decision-making.
═══════════════════════════════════════════
📊 WHAT IS THE SQUEEZE?
═══════════════════════════════════════════
The "squeeze" occurs when Bollinger Bands contract inside Keltner Channels, indicating extremely low volatility. This compression typically precedes explosive directional moves - the tighter the squeeze, the bigger the potential breakout.
John Carter's TTM Squeeze concept (from "Mastering the Trade") combines this volatility compression with momentum direction to identify high-probability setups.
═══════════════════════════════════════════
✨ WHAT'S NEW IN THIS VERSION
═══════════════════════════════════════════
🎯 VISUAL STATUS BAR
- Real-time squeeze state with clear labels
- Color-coded backgrounds (Red = Building, Green = Fired Bullish, Orange = Fired Bearish)
- Squeeze duration counter to gauge compression time
📊 ENHANCED HISTOGRAM
- 4-color momentum gradient (Strong Bull/Weak Bull/Weak Bear/Strong Bear)
- Instantly shows both direction AND strength
- Background shading for current market state
🔥 SQUEEZE INTENSITY GAUGE
- 5-dot pressure indicator showing compression tightness
- Percentage display of squeeze strength
- Only appears during active squeezes
📈 REAL-TIME METRICS PANEL
- Current momentum value
- Direction indicator (increasing/decreasing)
- Strength assessment (strong/weak)
🔔 COMPREHENSIVE ALERTS
- Squeeze started
- Squeeze fired (bullish/bearish)
- Momentum crossovers
═══════════════════════════════════════════
🎮 HOW TO USE
═══════════════════════════════════════════
1. WAIT FOR SQUEEZE
• Red status bar appears
• Intensity dots show compression level
• Longer duration = potentially bigger move
2. WATCH FOR RELEASE
• Status changes to "FIRED - BULLISH" or "FIRED - BEARISH"
• Histogram color confirms momentum direction
• Background highlights the event
3. MANAGE POSITION
• Monitor momentum strength in metrics panel
• Exit when histogram changes color (momentum reversal)
• Use with trend/volume confirmation
═══════════════════════════════════════════
⚙️ CUSTOMIZATION
═══════════════════════════════════════════
- Toggle status bar, metrics, intensity dots independently
- Adjustable BB/KC parameters
- Custom color schemes
- Show/hide squeeze duration
═══════════════════════════════════════════
🙏 CREDITS
═══════════════════════════════════════════
Original TTM Squeeze concept: John F. Carter
Original indicator code: LazyBear (@LazyBear)
This builds on LazyBear's excellent implementation of the TTM Squeeze Momentum indicator, adding modern visual elements and real-time dashboards for improved usability.
Original indicator: "Squeeze Momentum Indicator "
═══════════════════════════════════════════
⚠️ DISCLAIMER
═══════════════════════════════════════════
This indicator is for educational purposes. Always use proper risk management and combine with other forms of analysis. No indicator guarantees profitable trades.
═══════════════════════════════════════════
Best used on: Day trading timeframes (1m-15m) for momentum plays
Combine with: Volume analysis, trend filters, support/resistance levels
Adaptive Volatility Bands | AlphaNattAdaptive Volatility Bands (AVB) | AlphaNatt
Professional-grade dynamic bands that adapt to market volatility and trend strength, featuring smooth gradient visualization for enhanced chart clarity.
🎯 CORE CONCEPT
AVB creates self-adjusting bands around a customizable basis line, expanding during trending markets and contracting during consolidation. The gradient fill provides instant visual feedback on price position within the volatility envelope.
✨ KEY FEATURES
5 Basis Types: Choose between SMA, EMA, ALMA, KAMA, or VWMA for the centerline calculation
Adaptive Band Width: Bands automatically widen in strong trends and tighten in ranging markets
Smooth Gradient Fills: 10-layer gradient on each side for professional depth visualization
Multiple Volatility Metrics: ATR, Standard Deviation, or Range-based calculations
Squeeze Detection: Identifies Bollinger/Keltner squeeze conditions for breakout anticipation
Dynamic Color States: Cyan (#00F1FF) for bullish, Magenta (#FF019A) for bearish conditions
📊 HOW IT WORKS
The basis line is calculated using your selected moving average type
Volatility is measured using ATR, StDev, or Range
Trend strength is quantified via linear regression
Band width adapts based on normalized trend strength (when enabled)
Gradient layers create smooth visual transitions from bands to basis
Color state changes based on price position and basis direction
🔧 PARAMETER GROUPS
Basis Configuration:
Basis Type: Moving average calculation method
Basis Length (20): Period for centerline calculation
ALMA Settings: Offset (0.85) and Sigma (6) for ALMA basis
Volatility Settings:
Volatility Method: ATR, Standard Deviation, or Range
Volatility Length (14): Lookback for volatility calculation
Band Multiplier (2.0): Distance of bands from basis
Adaptive Settings:
Enable Adaptive (true): Toggle dynamic band adjustment
Adaptation Period (50): Trend strength measurement window
Squeeze Detection:
BB/KC Parameters: Settings for squeeze identification
Expansion Threshold: Multiplier for expansion signals
📈 TRADING SIGNALS
Long Conditions:
Price crosses above basis
Basis line is rising
Band color shifts to cyan
Short Conditions:
Price crosses below basis
Basis line is falling
Band color shifts to magenta
💡 USAGE STRATEGIES
Trend Following: Trade with the basis direction when bands are expanding
Mean Reversion: Fade moves to outer bands during squeeze conditions
Breakout Trading: Enter on expansion signals after squeeze periods
Support/Resistance: Use bands as dynamic S/R levels
Position Sizing: Wider bands suggest higher volatility - adjust size accordingly
🎨 VISUAL ELEMENTS
Gradient Fills: 10 opacity layers creating smooth band transitions
Dynamic Colors: State-dependent coloring for instant trend recognition
Basis Line: Bold centerline changes color with trend state
Band Lines: Outer boundaries with matching state colors
⚡ BEST PRACTICES
The AVB indicator works optimally on liquid instruments with consistent volume. The adaptive feature performs best in trending markets but can generate false signals during choppy conditions. Consider using alongside momentum indicators for confirmation. The gradient visualization helps identify price position within the volatility envelope at a glance.
🔔 ALERTS INCLUDED
Long/Short Signals
Squeeze Conditions
Expansion Breakouts
Band Touch Events
Version 6 | Pine Script™ | © AlphaNatt
SuperBandsI've been seeing a lot of volatility band indicators pop up recently, and after watching this trend for a while, I figured it was time to throw my two chips in. The original spark for this idea came years ago from RicardoSantos's Vector Flow Channel script, which used decay channels with timed events in an interesting way. That concept stuck with me, and I kept thinking about how to build something that captured the same kind of dynamic envelope behavior but with a different mathematical foundation. What I ended up with is a hybrid that takes the core logic of supertrend trailing stops, smooths them heavily with exponential moving averages, and wraps them in Donchian-style filled bands with momentum-based color gradients.
The basic mechanism here is pretty straightforward. Standard supertrend calculates a trailing stop based on ATR offset from price, then flips direction when price crosses the trail. This implementation does the same thing but adds EMA smoothing to the trail calculation itself, which removes a lot of the choppiness you get from raw supertrend during sideways periods. The smoothing period is adjustable, so you can tune how reactive versus stable you want the bands to be. Lower smoothing values make the bands track price more aggressively, higher values create wider, slower-moving envelopes that only respond to sustained directional moves.
Where this diverges from typical supertrend implementations is in the visual presentation and the separate treatment of bullish and bearish conditions. Instead of a single flipping line, you get persistent upper and lower bands that each track their own trailing stops independently. The bullish band trails below price and stays active as long as price doesn't break below it. The bearish band trails above price and remains active until price breaks above. Both bands can be visible simultaneously, which gives you a dynamic channel that adapts to volatility on both sides of price action. When price is trending strongly, one band will dominate and the other will disappear. During consolidation, both bands tend to compress toward price.
The color gradients are calculated by measuring the rate of change in each band's position and converting that delta into an angle using arctangent scaling. Steeper angles, which correspond to the band moving quickly to catch up with accelerating price, get brighter colors. Flatter angles, where the band is moving slowly or staying relatively stable, fade toward more muted tones. This gives you a visual sense of momentum within the bands themselves, not just from price movement. A rapidly brightening band often precedes expansion or breakout conditions, while fading colors suggest the trend is losing steam or entering consolidation.
The filled regions between price and each band serve a similar function to Donchian channels or Keltner bands, creating clearly defined zones that represent normal price behavior relative to recent volatility. When price hugs one band and the fill area compresses, you're in a strong directional regime. When price bounces between both bands and the fills expand, you're in a ranging environment. The transparency gradients in the fills make it easier to see when price is near the edge of the envelope versus safely inside it.
Configuration is split between bullish and bearish settings, which lets you asymmetrically tune the indicator if you find that your market or timeframe has different characteristics in uptrends versus downtrends. You can adjust ATR period, ATR multiplier, and smoothing independently for each direction. This flexibility is useful for instruments that exhibit different volatility profiles during bull and bear phases, or for strategies that want tighter trailing on longs than shorts, or vice versa.
The ATR period controls the lookback window for volatility measurement. Shorter periods make the bands react quickly to recent volatility spikes, which can be beneficial in fast-moving markets but also leads to more frequent whipsaws. Longer periods smooth out volatility estimates and create more stable bands at the cost of slower adaptation. The multiplier scales the ATR offset, directly controlling how far the bands sit from price. Smaller multipliers keep the bands tight, triggering more frequent direction changes. Larger multipliers create wider envelopes that give price more room to move without breaking the trail.
One thing to note is that this indicator doesn't generate explicit buy or sell signals in the traditional sense. It's a regime filter and envelope tool. You can use band breaks as directional cues if you want, but the primary value comes from understanding the current volatility environment and whether price is respecting or violating its recent behavioral boundaries. Pairing this with momentum oscillators or volume analysis tends to work better than treating band breaks as standalone entries.
From an implementation perspective, the supertrend state machine tracks whether each direction's trail is active, handles resets when price breaks through, and manages the EMA smoothing on the trail points themselves rather than just post-processing the supertrend output. This means the smoothing is baked into the trailing logic, which creates a different response curve than if you just applied an EMA to a standard supertrend line. The angle calculations use RMS estimation for the delta normalization range, which adapts to changing volatility and keeps the color gradients responsive across different market conditions.
What this really demonstrates is that there are endless ways to combine basic technical concepts into something that feels fresh without reinventing mathematics. ATR offsets, trailing stops, EMA smoothing, and Donchian fills are all standard building blocks, but arranging them in a particular way produces behavior that's distinct from each component alone. Whether this particular arrangement works better than other volatility band systems depends entirely on your market, timeframe, and what you're trying to accomplish. For me, it scratched the itch I had from seeing Vector Flow years ago and wanting to build something in that same conceptual space using tools I'm more comfortable with.
Swing AURORA v4.0 — Refined Trend Signals### Swing Algo v4.0 — Refined Trend Signals
#### Overview
Swing Algo v4.0 is an advanced technical indicator designed for TradingView, built to detect trend changes and provide actionable buy/sell signals in various market conditions. It combines multiple technical elements like moving averages, ADX for trend strength, Stochastic RSI for timing, and RSI divergence for confirmation, all while adapting to different timeframes through auto-tuning. This indicator overlays on your chart, highlighting trend regimes with background colors, displaying buy/sell labels (including "strong" variants), and offering early "potential" signals for proactive trading decisions. It's suitable for swing trading, trend following, or as a filter for other strategies across forex, stocks, crypto, and other assets.
#### Purpose
The primary goal of Swing Algo v4.0 is to help traders identify high-probability trend reversals and continuations early, reducing noise and false signals. It aims to provide clear, non-repainting signals that align with market structure, volatility, and momentum. By incorporating filters like higher timeframe (HTF) alignment, bias EMAs, and divergence, it refines entries for better accuracy. The indicator emphasizes balanced performance across aggressive, balanced, and conservative modes, making it versatile for both novice and experienced traders seeking to optimize their decision-making process.
#### What It Indicates
- **Trend Regimes (Background Coloring)**: The chart background changes color to reflect the current market regime:
- **Green (Intense for strong uptrends, faded when cooling)**: Indicates bullish trends where price is above the baseline and EMAs are aligned upward.
- **Red/Maroon (Intense maroon for strong downtrends, faded red when cooling)**: Signals bearish trends with price below the baseline and downward EMA alignment.
- **Faded Yellow**: Marks "no-trade" zones or potential trend changes, where conditions are choppy, weak, or neutral (e.g., low ADX, near baseline, or low volatility).
- **Buy/Sell Signals**: Labels appear on the chart for confirmed entries:
- "BUY" or "STRONG BUY" for bullish signals (strong variants require higher scores and optional divergence).
- "SELL" or "STRONG SELL" for bearish signals.
- **Potential Signals**: Early warnings like "Potential BUY" or "Potential SELL" appear before full confirmation, allowing traders to anticipate moves (confirmed after a few bars based on the trigger window).
- **Divergence Marks**: Small "DIV↑" (bullish) or "DIV↓" (bearish) labels highlight RSI divergences on pivots, adding confluence for strong signals.
- **Lines**: Optional plots for baseline (teal), EMA13/21 (lime/red based on crossover), providing visual trend context.
Signals are anchored either to the current bar or confirmed pivots, ensuring alignment with price action. The indicator avoids repainting by confirming on close if enabled.
#### Key Parameters and Customization
Swing Algo v4.0 offers minimal yet efficient parameters for fine-tuning, with defaults optimized for common use cases. Most can be auto-tuned based on timeframe for simplicity:
- **Confirm on Close (no repaint)**: Boolean (default: true) – Ensures signals don't repaint by waiting for bar confirmation.
- **Auto-tune by Timeframe**: Boolean (default: true) – Automatically adjusts lengths and sensitivity for 5-15m, 30-60m, 2-4h, or higher frames.
- **Mode**: String (options: Aggressive, Balanced , Conservative) – Controls signal thresholds; Aggressive for more signals, Conservative for fewer but higher-quality ones.
- **Signal Anchor**: String (options: Pivot (divLB) , Current bar) – Places labels on confirmed pivots or the current bar.
- **Trigger Window (bars)**: Integer (default: 3) – Window for signal timing; auto-tuned if enabled.
- **Baseline Type**: String (options: HMA , EMA, ALMA) – Core trend line; lengths auto-tune (e.g., 55 for short frames).
- **Use Bias EMA Filter**: Boolean (default: false) – Adds a long-term EMA for trend bias.
- **Use HTF Filter**: Boolean (default: false) – Aligns with higher timeframe (auto or manual like 60m, 240m, D); override for stricter scoring.
- **Sensitivity (10–90)**: Integer (default: 55) – Adjusts ADX threshold for trend detection; higher = more sensitive.
- **Use RSI-Stoch Trigger**: Boolean (default: true) – Enables Stochastic RSI for entry timing; customizable lengths, smooths, and levels.
- **Use RSI Divergence for STRONG**: Boolean (default: true) – Requires divergence for strong signals; pivot lookback (default: 5).
- **Visual Options**: Booleans for background regime, labels, divergence marks, and lines (all default: true).
These parameters are grouped for ease, with tooltips in TradingView for quick reference. Start with defaults and tweak based on backtesting.
#### How It Works
At its core, Swing Algo v4.0 calculates a baseline (e.g., HMA) to define the trend direction. It then scores potential buys/sells using factors like:
- **Trend Strength**: ADX above a dynamic threshold, combined with EMA crossovers (13/21) and slope analysis.
- **Volatility/Volume**: Bollinger/Keltner squeeze exits, volume z-score, and ATR filters to avoid choppy markets.
- **Timing**: Stochastic RSI crossovers or micro-timing via DEMA/TEMA for precise entries.
- **Filters**: Bias EMA, HTF alignment, gap from baseline, and no-trade zones (weak ADX, near baseline, low vol).
- **Divergence**: RSI pivots confirm strong signals.
- **Scoring**: Buy/sell scores (min 3-5 based on mode) trigger labels only when all gates pass, with early "potential" detection for foresight.
The algorithm processes these in real-time, auto-adapting to timeframe for efficiency. Signals flip only on direction changes to prevent over-trading. For best results, use on liquid assets and combine with risk management.
#### Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice, investment recommendations, or trading signals. Trading involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always backtest the indicator on your preferred assets and timeframes, and consult a qualified financial advisor before making any trading decisions. The author assumes no liability for any losses incurred from using this script. Use at your own risk.
Squeeze Momentum MACDSqueeze Momentum MACD
🧠 Description
Squeeze Momentum MACD combines the concept of market volatility compression (the “squeeze”) from Bollinger Bands (BB) and Keltner Channels (KC) with a MACD-style momentum oscillator to reveal potential breakout phases.
The indicator first calculates:
BB Width = Upper Band − Lower Band
KC Width = Upper Band − Lower Band
Then it computes their difference:
Δ = BB Width − KC Width
When Δ > 0 → BB width is greater than KC width → volatility is expanding → potential momentum breakout.
When Δ < 0 → BB is inside KC → volatility is compressing → potential squeeze phase before expansion.
This Δ value is then processed through a MACD-style calculation:
MACD Line = EMA(fast) − EMA(slow)
Signal Line = EMA(MACD, signal length)
Histogram = MACD − Signal
The result is a visual momentum oscillator that behaves like MACD but measures volatility expansion instead of price direction.
🔹 Features:
Dynamic 4-color MACD & Signal lines (positive/negative + rising/falling)
Optional display of raw BB & KC widths
Fully adjustable parameters for BB, KC, and MACD
Works on all timeframes and instruments
🔹 Ideal For:
Detecting market squeezes and breakout momentum
Timing entries before volatility expansion
Integrating volatility and momentum into a single framework
Lorentzian Harmonic Flow - Temporal Market Dynamic Lorentzian Harmonic Flow - Temporal Market Dynamic (⚡LHF)
By: DskyzInvestments
What this is
LHF Pro is a research‑grade analytical instrument that models market time as a compressible medium , extracts directional flow in curved time using heavy‑tailed kernels, and consults a history‑based memory bank for context before synthesizing a final, bounded probabilistic score . It is not a mashup; each subsystem is mathematically coupled to a single clock (time dilation via gamma) and a single lens (Lorentzian heavy‑tailed weighting). This script is dense in logic (and therefore heavy) because it prioritizes rigor, interpretability, and visual clarity.
Intended use
Education and research. This tool expresses state recognition and regime context—not guarantees. It does not place orders. It is fully functional as published and contains no placeholders. Nothing herein is financial advice.
Why this is original and useful
Curved time: Markets do not move at a constant pace. LHF Pro computes a Lorentz‑style gamma (γ) from relative speed so its analytical windows contract when the tape accelerates and relax when it slows.
Heavy‑tailed lens: Lorentzian kernels weight information with fat tails to respect rare but consequential extremes (unlike Gaussian decay).
Memory of regimes: A K‑nearest‑neighbors engine works in a multi‑feature space using Lorentz kernels per dimension and exponential age fade , returning a memory bias (directional expectation) and assurance (confidence mass).
One ecosystem: Squeeze, TCI, flow, acceleration, and memory live on the same clock and blend into a single final_score —visualized and documented on the dashboard.
Cognitive map: A 2D heat map projects memory resonance by age and flow regime, making “where the past is speaking” visible.
Shadow portfolio metaphor: Neighbor outcomes act like tiny hypothetical positions whose weighted average forms an educational pressure gauge (no execution, purely didactic).
Mathematical framework (full transparency)
1) Returns, volatility, and speed‑of‑market
Log return: rₜ = ln(closeₜ / closeₜ₋₁)
Realized vol: rv = stdev(r, vol_len); vol‑of‑vol: burst = |rv − rv |
Speed‑of‑market (analog to c): c = c_multiplier × (EMA(rv) + 0.5 × EMA(burst) + ε)
2) Trend velocity and Lorentz gamma (time dilation)
Trend velocity: v = |close − close | / (vel_len × ATR)
Relative speed: v_rel = v / c
Gamma: γ = 1 / √(1 − v_rel²), stabilized by caps (e.g., ≤10)
Interpretation: γ > 1 compresses market time → use shorter effective windows.
3) Adaptive temporal scale
Adaptive length: L = base_len / γ^power (bounded for safety)
Harmonic horizons: Lₛ = L × short_ratio, Lₘ = L × mid_ratio, Lₗ = L × long_ratio
4) Lorentzian smoothing and Harmonic Flow
Kernel weight per lag i: wᵢ = 1 / (1 + (d/γ)²), d = i/L
Horizon baselines: lw_h = Σ wᵢ·price / Σ wᵢ
Z‑deviation: z_h = (close − lw_h)/ATR
Harmonic Flow (HFL): HFL = (w_short·zₛ + w_mid·zₘ + w_long·zₗ) / (w_short + w_mid + w_long)
5) Flow kinematics
Velocity: HFL_vel = HFL − HFL
Acceleration (curvature): HFL_acc = HFL − 2·HFL + HFL
6) Squeeze and temporal compression
Bollinger width vs Keltner width using L
Squeeze: BB_width < KC_width × squeeze_mult
Temporal Compression Index: TCI = base_len / L; TCI > 1 ⇒ compressed time
7) Entropy (regime complexity)
Shannon‑inspired proxy on |log returns| with numerical safeguards and smoothing. Higher entropy → more chaotic regime.
8) Memory bank and Lorentzian k‑NN
Feature vector (5D):
Outcomes stored: forward returns at H5, H13, H34
Per‑dimension similarity: k(Δ) = 1 / (1 + Δ²), weighted by user’s feature weights
Age fading: weight_age = mem_fade^age_bars
Neighbor score: sᵢ = similarityᵢ × weight_ageᵢ
Memory bias: mem_bias = Σ sᵢ·outcomeᵢ / Σ sᵢ
Assurance: mem_assurance = Σ sᵢ (confidence mass)
Normalization: mem_bias normalized by ATR and clamped into band
Shadow portfolio metaphor: neighbors behave like micro‑positions; their weighted net forward return becomes a continuous, adaptive expectation.
9) Blended score and breakout proxy
Blend factor: α_mem = 0.45 + 0.15 × (γ − 1)
Final score: final_score = (1−α_mem)·tanh(HFL / (flow_thr·1.5)) + α_mem·tanh(mem_bias_norm)
Breakout probability (bounded): energy = cap(TCI−1) + |HFL_acc|×k + cap(γ−1)×k + cap(mem_assurance)×k; breakout_prob = sigmoid(energy). Caps avoid runaway “100%” readings.
Inputs — every control, purpose, mechanics, and tuning
🔮 Lorentz Core
Auto‑Adapt (Vol/Entropy): On = L responds to γ and entropy (breathes with regime), Off = static testing.
Base Length: Calm‑market anchor horizon. Lower (21–28) for fast tapes; higher (55–89+) for slow.
Velocity Window (vel_len): Bars used in v. Shorter = more reactive γ; longer = steadier.
Volatility Window (vol_len): Bars used for rv/burst (c). Shorter = more sensitive c.
Speed‑of‑Market Multiplier (c_multiplier): Raises/lowers c. Lower values → easier γ spikes (more adaptation). Aim for strong trends to peak around γ ≈ 2–4.
Gamma Compression Power: Exponent of γ in L. <1 softens; >1 amplifies adaptation swings.
Max Kernel Span: Upper bound on smoothing loop (quality vs CPU).
🎼 Harmonic Flow
Short/Mid/Long Horizon Ratios: Partition L into fast/medium/slow views. Smaller short_ratio → faster reaction; larger long_ratio → sturdier bias.
Weights (w_short/w_mid/w_long): Governs HFL blend. Higher w_short → nimble; higher w_long → stable.
📈 Signals
Squeeze Strictness: Threshold for BB1 = compressed (coiled spring); <1 = dilated.
v/c: Relative speed; near 1 denotes extreme pacing. Diagnostic only.
Entropy: Regime complexity; high entropy suggests caution, smaller size, or waiting for order to return.
HFL: Curved‑time directional flow; sign and magnitude are the instantaneous bias.
HFL_acc: Curvature; spikes often accompany regime ignition post‑squeeze.
Mem Bias: Directional expectation from historical analogs (ATR‑normalized, bounded). Aligns or conflicts with HFL.
Assurance: Confidence mass from neighbors; higher → more reliable memory bias.
Squeeze: ON/RELEASE/OFF from BB
简单KDJ80策略 - testIt's only a test of sth big.
Next step will be adding complex strategy with bollinger band and keltner channel.
Dynamic Gamma Inspired IndicatorDynamic Gamma Inspired Indicator
This indicator identifies potential market regime shifts between low-volatility (mean-reverting) and high-volatility (trending) environments by using a dynamic, volatility-adaptive framework inspired by options market gamma exposure concepts.
Core Concepts
This indicator uses a volatility-based model that mimics how market maker hedging can influence price stability and volatility. While it's not possible to calculate true Gamma Exposure (GEX) in Pine Script without external options data, this script uses the Average True Range (ATR) as a proxy to create dynamic zones that adapt to current market conditions.
Positive Gamma Environment (Green Background) When price is contained within the upper and lower walls, it suggests a period of stability where market makers' hedging may suppress volatility. In this "mean-reversion" regime, prices tend to revert to the central pivot.
Negative Gamma Environment (Orange Background) When price breaks outside the walls, it signals a potential increase in volatility, where hedging can amplify price moves. This "trend-amplification" regime suggests the potential for strong breakout or trend-following moves.
How It Works
The indicator is built on three key components that dynamically adjust to market volatility:
Dynamic Pivot (Blue Line) An Exponential Moving Average (EMA) acts as the central "zero gamma" pivot point.
Dynamic Walls (Red & Green Lines) These upper and lower bands are calculated by adding or subtracting a multiple of the Average True Range (ATR) from the central EMA pivot. This is similar to how Keltner Channels use ATR to create volatility-based envelopes. The walls expand during high volatility and contract during low volatility.
How to Use This Indicator
The indicator automatically plots signals based on the current market regime:
Mean-Reversion Signals (Inside the Walls)
Long Reversion: Appears when the price crosses up through the central pivot, suggesting a potential move toward the upper wall.
Short Reversion: Appears when the price crosses down through the central pivot, suggesting a potential move toward the lower wall.
Breakout Signals (Outside the Walls)
Long Breakout: Appears when the price breaks and closes above the upper wall, signaling the start of a potential uptrend.
Short Breakout: Appears when the price breaks and closes below the lower wall, signaling the start of a potential downtrend.
Customization
You can tailor the indicator to different assets and timeframes by adjusting the following inputs:
Central Pivot EMA Length: Determines the period for the central moving average.
ATR Length for Walls: Sets the lookback period for the Average True Range calculation.
ATR Multiplier for Walls: Adjusts the width of the channel. A larger multiplier creates wider walls, filtering out more noise but providing fewer signals.
Disclaimer: This indicator is a tool for analysis and should not be used as a standalone trading signal. Always use proper risk management and combine it with other analysis methods. Past performance is not indicative of future results.
Weekly Setup Scanner (Trend + Momentum + Squeeze)Trend → price above weekly 20 EMA.
Momentum → weekly MACD bullish (MACD > Signal).
Volatility → weekly squeeze (Bollinger Bands inside Keltner Channels).
If all 3 conditions align → it flags the setup
