Linear Regression Channel With Pearson's R (Multi Sigma & MTF)This indicator applies multi‑sigma linear regression across multiple institutional time horizons to quantify the line of best fit in equities and index markets. By combining multi‑timeframe presets with statistically derived deviation bands, it highlights trend structure, volatility expansion, and regime transitions with clarity.
What’s New in This Update
The original version of the indicator produced a linear regression channel with multiple deviation bands. However, the statistical values it displayed were not mathematically valid. The value labeled “r” was not Pearson’s correlation coefficient and could not be used to derive R² or any formal regression diagnostics.
This update introduces a fully correct statistical engine based on ordinary least squares (OLS).
NEW STATISTICAL OUTPUTS
• True Pearson’s r
• True R² (coefficient of determination)
• RSS (Residual Sum of Squares)
• TSS (Total Sum of Squares)
These values are mathematically valid, bounded, and directly tied to the regression line.
KEY IMPROVEMENTS
• Correct OLS intercept (removes the erroneous +slope term)
• Proper predicted values using ŷ = b₀ + b₁x
• Correct centering around the actual mean of the data
• Removal of correlation logic from the deviation engine
• Clean separation between statistical computation and volatility computation
• Regression channel visuals remain identical, but the underlying math is now fully accurate
These changes ensure that r and R² reflect true trend strength and model fit, enabling more reliable interpretation of long‑term and short‑term trend regimes.
CORE FEATURES (UNCHANGED)
• Auto‑Multi‑Timeframe presets aligned with institutional trend horizons
• Multi‑Sigma bands (+/‑1σ, +/‑2σ, +/‑3σ) for volatility structure and statistical extremes
• True least‑squares regression recalculated each bar
• Deviation mode toggle (Standard Deviation vs. Max Deviation)
• Full documentation and institutional use‑case examples available on GitHub
More information can be found here:
github.com
Jalur dan Saluran
Advanced Trend Navigator by S B PrasadAdvanced Trend Navigator – by S B Prasad
A Professional Multi-Engine Trend & Breakout Trading System
Advanced Trend Navigator is a powerful, all-in-one trading indicator that combines smart EMA trend detection, adaptive filters, ribbon trend analysis, automatic trend channels, divergence detection, and built-in SL/Target projection into a single, visually intuitive system.
It is designed for both scalpers and swing traders, with special optimization for 1-minute charts and robust performance on higher timeframes.
🔹 Core Features
1️⃣ Smart EMA Trend Engine
Dual EMA crossover system (Fast & Slow)
Automatic optimization for 1-minute timeframe
Detects:
Trend direction
Trend reversals
Momentum shifts
2️⃣ Multi-Layer Signal Filters
Signals are validated using a powerful filter stack:
Volume Filter (above-average volume confirmation)
RSI Filter with dynamic buy/sell thresholds
Bollinger Bands (overbought / oversold zones)
Momentum Filter (ROC-based strength detection)
Volatility Adaptation (ATR-based regime detection)
These filters dramatically reduce false signals and noise.
3️⃣ RSI Divergence Detection (1-Minute Optimized)
Bullish and bearish divergence detection
Automatic confidence boost when divergence appears
Helps identify early trend reversals and exhaustion zones
4️⃣ Enhanced Signal Logic
Signals are generated using a confluence of:
EMA crossovers
Candle direction
Volume + RSI + BB + Momentum
Divergence + trend-change logic
Separate logic is used for:
1-minute scalping
Higher-timeframe trend trading
5️⃣ Ribbon Trend System (CoraWave + LazyLine)
Advanced smoothed ribbon using:
CoraWave (fast line)
LazyLine (slow line)
Dynamic color-changing trend visualization
Ribbon fill highlights:
Strong bullish zones
Strong bearish zones
Neutral / transition phases
6️⃣ Automatic Trend Channel
Pivot-based dynamic trend channels
ATR-adjusted channel width
Auto-extended support & resistance structure
Visual map of evolving trend direction
7️⃣ Buy / Sell Breakout Signals (No-Spam Logic)
Signals only when:
Ribbon trend agrees
Price breaks channel boundaries
Built-in cooldown filter to prevent over-trading
Separate engine from EMA signals for dual confirmation
8️⃣ Built-In SL / Target Projection
Automatic Stop-Loss based on channel boundary
Risk-based Target 1 and Target 2 (R-multiples)
Dynamic plotting of:
SL line
Target 1 line
Target 2 line
9️⃣ Smart Time & Profit Projection
ATR-based time-to-move estimation
Dynamic profit potential estimation
Displays:
Expected move duration (minutes)
Approximate profit projection
🔟 Confidence Scoring System
Dynamic confidence % for each signal
Automatically increases when:
Divergence is detected
Bollinger extremes are triggered
🎨 Visual & Usability Features
Color-coded:
EMA lines
Ribbon trend
Trend channels
Background trend bias
Dynamic:
LONG / SHORT arrows
Signal labels with confidence + projection
Current trend status box
🔔 Alerts Included
EMA-based LONG / SHORT alerts
Ribbon fast/slow trend change alerts
Channel breakout BUY / SELL alerts
Alert messages include:
Symbol
Confidence %
Time projection
🛠 Recommended Usage
Scalping:
1-minute or 3-minute charts
Enable Volume, RSI, Momentum, and Volatility filters
Intraday / Swing Trading:
5-minute to Daily charts
Use EMA + Ribbon + Channel confluence
5-Minute Scalping Settings
(High-probability intraday trades)
🔹 EMA Settings
Fast EMA: 5
Slow EMA: 13
🔹 Filters
Volume Filter
Use Volume Filter: ✅ ON
Volume Threshold: 1.2
RSI Filter
Use RSI Filter: ❌ OFF
(Turn ON only in very choppy markets)
RSI Length: 14
RSI Buy Level: 30
RSI Sell Level: 70
Bollinger Bands
Use Bollinger Bands: ✅ ON
BB Length: 20
BB Multiplier: 2.0
Momentum Filter (ROC)
Use Momentum: ❌ OFF
(Turn ON only for breakout-only trading)
Momentum Length: 3
Momentum Threshold %: 0.10
Volatility Adaptation
Use Volatility Adaptation: ❌ OFF
(Enable only for highly volatile stocks / crypto)
Volatility Multiplier: 1.5
🔹 Ribbon Settings
Fast Length: 12
Fast Smooth: 3
Slow Length: 18
Show Ribbon Fill: ✅ ON
🔹 Trend Channel
Pivot Length: 7
ATR Length: 14
Channel Width (ATR): 1.7
🔹 Buy / Sell Signals
Show Buy / Sell Signals: ✅ ON
Signal Cooldown (Bars): 25
🔹 SL / Target Projection
Show SL / Target Projection: ✅ ON
Target 1 (R): 1.0
Target 2 (R): 2.5
🔹 Visual / Display (Optional)
Show BB on Chart: ❌ OFF (keep chart clean)
Background Transparency: 80
Value to Display: Time (recommended for scalping)
🎯 How to Trade (5-Minute Mode)
Take BUY when:
Fast EMA > Slow EMA
Ribbon is green + rising
Price breaks above upper channel
Volume filter passes
Buy arrow appears
Take SELL when:
Fast EMA < Slow EMA
Ribbon is red + falling
Price breaks below lower channel
Volume filter passes
Sell arrow appears
❌ Avoid Trades When
Ribbon is flat or mixed colors
Channel is very narrow
Price is inside the channel
Volume filter fails
⚠️ Disclaimer
This indicator is a technical analysis tool, not financial advice.
Always use proper risk management and confirm signals with market context.
Past performance does not guarantee future results.
Wx Linear / Log Regression ChannelWx LinReg+ — Linear Regression Channel (with optional log scale)
LinReg+ is a modified version of TradingView’s built-in Linear Regression indicator.
In normal mode it behaves the same as the original script (same math, same channel) — but it adds a few extra tools for longer-term trend work and cleaner risk management.
⸻
What it does
• Plots a linear regression line over the last N bars (default 150) to show the dominant trend.
• Draws upper and lower channel lines at a chosen number of standard deviations from the regression line.
• Highlights when price moves unusually far away from its baseline, which can signal potential exhaustion or mean reversion.
• Optionally fits the channel on log(price) so the trend is percentage-based, which is much more realistic for long-term stocks, growth names, and crypto.
⸻
What’s different vs. the original Linear Regression
Everything from the standard TradingView Linear Regression is preserved, plus:
1. Use log price (percent-based)
• When checked, the regression is computed on log(source) instead of raw price.
• This makes the channel scale naturally with percentage moves (e.g., a move from 50 → 100 is treated like 100 → 200).
• Very useful on higher timeframes or multi-year trends.
2. Pearson’s R (trend quality)
• Optional label that shows Pearson’s correlation coefficient between price and the regression line.
• Values near +1 / −1 = strong, clean trend.
Values near 0 = choppy, noisy market.
3. Extend lines left / right
• Lets you project the channel back in time, forward in time, or both, without redrawing.
4. Default length
• Default Length = 150 bars to match a common swing / position-trading look-back out of the box.
⸻
Inputs
Channel Settings
• Length
Number of bars used for the regression calculation (default 150).
• Source
Price source used for the channel (close by default).
• Use log price (percent-based)
When enabled, regression is performed on log(price); visually still plotted on the normal scale.
• Upper Deviation / Lower Deviation
Number of standard deviations above/below the regression line to draw the upper and lower channel.
• Use Upper Deviation / Use Lower Deviation
Toggle visibility/use of each side of the channel.
Display Settings
• Show Pearson’s R
Shows a label with the correlation coefficient so you can quickly judge trend strength.
• Extend Lines Left / Extend Lines Right
Controls how far the channel lines are extended on the chart.
Color Settings
• Separate colors for upper band, lower band, and the filled areas between them.
⸻
How traders often use it
• Spot when price is stretched relative to its regression channel (possible fade / reversion zones).
• Confirm a trend regime: strong Pearson’s R + price riding the upper band = robust uptrend.
• On log mode, see whether a name is accelerating or decelerating in percentage terms over multi-month / multi-year windows.
This is a visual tool only – it doesn’t place orders or manage risk for you.
Titan Distance & Momentum [Professional Suite]Are you tired of "whipsaws" and false breakouts?
The Titan Distance & Momentum is not just another oscillator. It is a specialized quantitative tool designed to solve the two biggest problems in day trading: Market Exhaustion and Trend Filters.
While standard indicators (like RSI or MACD) generate noisy signals, the Titan Distance algorithm focuses on Clarity and Mean Reversion logic.
🚀 KEY FEATURES:
1. Real-Time Distance Dashboard (The "Elastic" Effect) Most traders lose money by buying tops or selling bottoms. This indicator calculates the exact distance (in points) between the current price and the 200-period Moving Average.
Visual Alert: The background automatically turns RED or GREEN when the price is statistically "overstretched" (too far from the mean).
The Logic: When the background lights up, the "elastic" is stretched. STOP following the trend and prepare for a reversion or pullback.
2. "Quantum" Smoothed Momentum We replaced the jagged, hard-to-read lines of traditional oscillators with a triple-smoothed exponential wave.
Green Wave: Positive clean momentum (Safe to buy).
Red Wave: Negative clean momentum (Safe to sell).
Zero Lag: Designed to react faster than standard MACD but smoother than raw RSI.
🎯 HOW TO USE IT:
Trend Following: Only take BUY trades when the Wave is Green and rising above the Zero Line.
The Filter: If your strategy gives a signal, LOOK DOWN. Is the background colored (Red/Green)? If yes, the market is overextended. Do not enter. Wait for the price to return to the average.
Dashboard: Check the label on the right side. It tells you exactly how many points away the price is from the 200 EMA (e.g., "+500 pts").
⚙️ SETTINGS:
Momentum Length: Adjust the sensitivity of the wave.
Distance Alert: Set the threshold (in points) to trigger the background color alert (Default: 1000 points for Indices).
Designed for precision. Built for professionals.
The Automatic Channel Revolution [8 Levels + Slicing]Stop wasting time manually drawing lines and start trading.
I present to the community Fimathe Master Pro, a unique tool designed to completely automate the Fimathe technique, eliminating subjectivity and human error when drawing channels.
Many traders miss entry timing while adjusting rectangles or manually calculating the 50% (slicing) levels. This script solves that instantly, creating a visual structure that is clean, professional, and objective for Day Trading (Indices, Forex, and Crypto).
🚀 WHAT MAKES THIS SCRIPT UNIQUE?
Unlike other indicators that simply plot support and resistance lines, Fimathe Master Pro creates a Dynamic Block Structure:
Automatic Reference Channel: You define the time range (e.g., first 30 min or 1h), and the script automatically detects the High and Low, locking in the Reference Channel and Neutral Zone.
8-Level Expansion System (New): The indicator automatically projects 4 Levels Up and 4 Levels Down. You will never run out of targets during strong trend days again.
Visual Slicing (50%): The script automatically draws discrete dotted lines in the middle of each channel, allowing for precise "slicing" operations (sub-channel trading) without cluttering the chart.
Clean & Transparent Visuals: Developed with an intelligent transparency layer (92%), ensuring you can see the candles perfectly while identifying Buy and Sell zones.
⚙️ HOW TO CONFIGURE:
Session: Default is set to 0900-0930 (First 30 min). If you trade the Classic Fimathe (1 hour), simply change it in the settings to 0900-1000.
Slicing: Can be toggled on or off with a single click.
Colors: Fully customizable to fit your template (Dark or Light mode).
🎯 WHO IS THIS INDICATOR FOR?
Ideal for Price Action traders and students of the Fimathe technique who want to professionalize their screen and gain agility in decision-making.
If this script helped your market reading, please leave a BOOST (Like) and comment your suggestions below!
EOB Area - Body Closes Prev Extreme + Opposite ColorEob detects enhanced order blocks
it will alert you
please use it wisely
more updates soon
Dual Session VWAPs by GK snipervwaps automatically
for london
new york session
easy
will remove automatically next day
Mean Reversion Oleg📘 Description
This script is an extended and customized version of the original “Mean Reversion V‑F” created by the respected author fullmax.
I adapted the logic for my own trading workflow and added several improvements aimed at stability, automation, and exchange‑safe execution when using webhooks.
🔧 Key Enhancements
Lot precision control (prevents exchange errors when sending webhook orders)
Base order labels for visual clarity
Mini‑table with live position metrics
Dynamic deviation levels (L1–L5)
Static averaging levels (B2–B5)
Trailing take‑profit option
Support for stock mode (fixed units instead of quantity)
Webhook fields for entry and exit signals
🎯 How the Strategy Works
The script calculates a moving average and builds five deviation‑based levels below it.
When price reaches these levels, the strategy opens a base order (B1) and then averages the position using B2–B5 levels.
After entering a position, the strategy manages it using:
a fixed take‑profit target
or an optional trailing take‑profit
plus a visual table showing position size, USD value, open PnL, and equity
All quantities are rounded according to the selected lot precision to ensure compatibility with exchange requirements when using webhook automation.
⚙️ Features Overview
Automated long entries based on deviation levels
Configurable order sizes for each averaging step
Optional stock‑mode (units instead of calculated quantity)
Dynamic and static level visualization
Trailing TP with adjustable distance
Clean UI with optional labels and mini‑table
📝 Disclaimer
This script is provided for educational purposes only.
It does not constitute financial advice and does not guarantee profits.
Always test strategies on historical data before using them in live trading.
boll+ATR更具布林上下轨道做5分钟短线的剥头皮策略，并且更具atr移动止盈止损
Add Bollinger Bands to the upper and lower bands for a 5-minute short-term charting strategy, and add ATR trailing stop-loss and take-profit orders.
Trade ManagerDescription
This script is a trade‑management system designed for both automated and manual trading workflows.
It combines VWRSI‑based signals, customizable price levels, safety orders, take‑profit logic, and optional MA‑trend filtering.
Key features:
Automated entries based on VWRSI
Manual LONG/SHORT level entries
Priority‑based entry logic (first condition triggers the trade)
Safety order scaling (volume and step multipliers)
Take‑profit targets for both LONG and SHORT positions
Breakeven logic with adjustable thresholds
Optional MA‑trend filter
Mini‑table showing position metrics
Base order labels and lot‑precision control
How it works:
If multiple entry modes are enabled, the script opens a position based on the first condition reached.
After entering a trade, the position can be averaged using safety orders and closed at the configured profit target.
Notes:
This script is for educational purposes and does not guarantee profits.
Always test on historical data and understand the risks before using it in live trading.
LQ plots w/filledLiquidity Indicator
This indicator identifies significant swing highs and swing lows based on user-defined pivot strength and projects them forward as potential liquidity and reaction levels.
When a valid swing forms, the script:
1. Draws a horizontal level at the swing price
a. Optionally extends that level forward in time
b. Visualizes the level as a line and/or price box
c. Tracks the level until price interacts with or fills it
2. When price trades back through a level:
a. The level is marked as filled
b. A clear X marker is drawn at the point of fill
c. The level is optionally removed or hidden based on user settings
3. Useful for:
a. Designed for traders who focus on:
1. Market structure
2. Liquidity targets
Swing-based support and resistance
Identifying where price has already “paid” liquidity
This tool is structure-driven, it highlights where price has reacted and where it has not, letting YOU, the trader decide how to act.
Double Donchian Channel + T3 MA (Dynamic Color)This indicator combines a **Double Donchian Channel** with a **dynamic T3 Moving Average** to provide a clear view of market structure, volatility, and trend direction on a single chart. The **fast Donchian channel** tracks short-term price extremes, making it useful for identifying breakouts, pullbacks, and momentum shifts. The **slow Donchian channel** represents higher-timeframe structure and acts as a dynamic support and resistance zone, helping traders understand the broader trend context and avoid trading against dominant market pressure.
At the center of the system is the **T3 Moving Average**, a highly smoothed moving average designed to reduce noise while remaining responsive to trend changes. The T3 line **changes colour automatically based on its slope**: it turns **green when rising**, signaling bullish momentum, and **red when falling**, signaling bearish momentum. This colour change allows traders to visually identify trend direction and transitions without relying on lagging crossover signals.
When price trades above a rising (green) T3 and remains within or above the slow Donchian channel, market conditions favor continuation trades and long-side bias. Conversely, when price is below a falling (red) T3 and breaking or respecting the lower Donchian boundaries, bearish continuation setups are favored. Overall, this indicator is best suited for **trending and volatility-expanding markets**, and it works especially well when combined with volume-based tools or regime filters to avoid ranging conditions.
BB Upper breakout Short +2% (dr Ziuber)A short position is opened when the price on the 1-hour chart exceeds the Bollinger Bands by more than 2%. The position is closed when the profit reaches 2%.
200 EMA mit versetztem LabelThe 200 EMA Indicator is one of the most widely respected and frequently used technical analysis tools among traders across all markets.
Whether applied to stocks, cryptocurrencies, forex, or indices, the 200-period Exponential Moving Average serves as a
critical benchmark for identifying long-term trends, market direction, and key support and resistance levels. www.skool.com
This indicator is designed to provide traders with a clear, visually intuitive way to understand market structure and
make more informed trading decisions. By focusing on long-term price behavior rather than short-term noise, the 200
EMA helps filter out unnecessary signals and keeps traders aligned with the dominant trend.
What Is the 200 EMA?
The
Exponential Moving Average (EMA)
is a type of moving average that places greater weight on recent price data. This makes it more responsive to current
market conditions compared to a Simple Moving Average (SMA), which treats all historical prices equally.
The 200 EMA calculates the average price over the last 200 periods while emphasizing the most recent candles. Because of this long
lookback period, the 200 EMA is primarily used as a long-term trend indicator rather than a short-term trading signal.
Many professional traders and institutions consider the 200 EMA to be a dividing line between bullish and bearish
market conditions.
Why the 200 EMA Is So Important
The 200 EMA has gained its significance not by coincidence, but through decades of consistent use across financial
markets. Its importance lies in the way market participants collectively react to it.
Key reasons traders rely on the 200 EMA include:
It defines the
overall market trend
It acts as
dynamic support and resistance
It helps filter trades in the direction of higher probability
It provides objective structure in trending and ranging markets
When many traders observe the same level, it often becomes self-fulfilling. As a result, price reactions around the
200 EMA are frequently strong and meaningful.
How the 200 EMA Indicator Works
The indicator plots a single exponential moving average line calculated using 200 periods of price data. Because it
adapts dynamically to price movements, the 200 EMA smoothly follows long-term price direction without reacting
excessively to short-term volatility.
Trend Identification
Price above the 200 EMA
indicates a bullish market environment
Price below the 200 EMA
suggests a bearish market environment
This simple rule alone helps traders avoid counter-trend positions and focus on trades aligned with the broader market
direction.
Dynamic Support and Resistance
One of the most valuable characteristics of the 200 EMA is its role as
dynamic support and resistance.
In uptrends, price often pulls back toward the 200 EMA before continuing higher
In downtrends, price frequently rejects from the 200 EMA before moving lower
Unlike static horizontal levels, the 200 EMA adapts to changing market conditions, making it especially useful in
trending markets.
Trade Filtering and Strategy Alignment
The 200 EMA Indicator is commonly used as a
trade filter
rather than a standalone entry signal. By defining the dominant trend, it allows traders to:
Look for long setups only when price is above the 200 EMA
Look for short setups only when price is below the 200 EMA
Avoid low-probability trades against the prevailing market direction
This approach helps improve consistency and reduces emotional decision-making.
Multi-Timeframe Applicability
The 200 EMA works effectively on all timeframes:
Higher timeframes (Daily, Weekly):
Long-term market bias and macro trend
Medium timeframes (4H, 1H):
Swing trading and trend continuation setups
Lower timeframes (15m, 5m):
Intraday structure and directional filtering
Traders often combine the 200 EMA from higher timeframes with entries on lower timeframes to increase confluence and
confidence.
Pivots + FVG + Liquidity Sweeps (Smart Entry)its a scrpt expermental to see if it works its a scrpt expermental to see if it worksits a scrpt expermental to see if it worksits a scrpt expermental to see if it works
8 EMA. 21 EMA. VWAP This trio is popular for momentum, scalping, and trend-following on 1m–15m charts (stocks, futures, indices).
1. Trend & Bias Filter
• Overall bullish when: Price > VWAP and 8 EMA > 21 EMA
• Overall bearish when: Price < VWAP and 8 EMA < 21 EMA
VWAP adds volume context — many ignore EMA signals against the VWAP side.
2. Crossover Signals (Primary Entries)
• Bullish crossover: 8 EMA crosses above 21 EMA → potential long (especially if price is already above VWAP)
• Bearish crossover: 8 EMA crosses below 21 EMA → potential short (especially if price is below VWAP)
VWAP confirmation reduces whipsaws: only take longs above VWAP, shorts below it.
3. Pullback / Retest Entries (Higher Probability)
• In an uptrend (price > VWAP, 8 > 21): Wait for dips to the 8 EMA (or sometimes 21 EMA) → buy the bounce.
• In a downtrend: Wait for rallies to the 8 EMA → short the rejection.
VWAP often acts as a magnet or pivot — price gravitating toward it can signal mean-reversion trades.
Cryptocurrency Dual-System Color-Changing Moving AveragesCryptocurrency Dual-System Color-Changing Moving Averages: Advanced Multi-Timeframe Trend Analysis
Innovative Core Concept
Our indicator introduces a revolutionary approach to trend analysis by integrating dual moving average systems with intelligent visual feedback mechanisms. Unlike traditional moving average indicators that simply display lines or basic crossovers, our system provides dynamic, multi-dimensional trend intelligence through three key innovations:
Dual Independent Moving Average Systems - Two complete 7-period moving average systems operate simultaneously, offering independent trend confirmation while maintaining visual harmony through unified color coding.
Intelligent Color-Changing Algorithm - Each moving average dynamically changes color based on its individual trend strength, creating a visual heatmap of momentum across different timeframes.
Holistic Market State Visualization - The entire candlestick chart changes color based on overall trend alignment, providing immediate visual confirmation of market regimes.
Comprehensive Functionality and Implementation
What It Does
This indicator performs multi-timeframe trend analysis across 14 moving averages (7 for each system), calculating individual trend strength for each line and determining overall market alignment to provide clear visual signals for different market conditions.
How It Works
Primary Trend Strength Calculation:
For each moving average, the indicator calculates a proprietary trend strength value by analyzing the net directional movement over a user-defined lookback period. This quantifies whether the moving average is consistently rising, falling, or consolidating.
Color Coding Logic:
Blue: Moving average shows strong upward momentum (trend strength exceeds positive threshold)
Orange: Moving average shows strong downward momentum (trend strength falls below negative threshold)
Gray: Moving average shows neutral/consolidating behavior
Market Regime Detection:
The system analyzes the alignment of three key moving averages (short-term, medium-term, and long-term) from the Main MA System to determine the overall market state:
Bullish Alignment: Short-term MA > Medium-term MA > Long-term MA (candlesticks turn blue)
Bearish Alignment: Short-term MA < Medium-term MA < Long-term MA (candlesticks turn orange)
Consolidation: No clear alignment pattern (candlesticks turn white)
Implementation Methodology
Our approach combines several established technical analysis concepts with unique enhancements:
Multiple Timeframe Analysis (MTFA) - We simultaneously analyze 7 different time periods (21, 55, 89, 144, 200, 450, 800) to capture trend dynamics across short, medium, and long time horizons.
Trend Strength Quantification - Instead of relying on simple crossovers, we calculate a proprietary trend strength metric that measures both direction and momentum consistency.
Visual Pattern Recognition Enhancement - By color-coding both the moving averages and the price bars, we leverage human visual processing capabilities to quickly identify market states and potential reversals.
Dual Confirmation System - The two independent moving average systems (Main System and EMA System) provide layered confirmation, reducing false signals and increasing reliability.
Practical Application and Usage Guidelines
Setup and Configuration
Main Moving Average System:
Configure your preferred moving average type (SMA, EMA, WMA, or HMA) and select which of the 7 periods to display. Each period can be individually enabled or disabled based on your analysis needs.
EMA System Configuration:
The secondary EMA system provides additional trend confirmation. Adjust its transparency to visually distinguish it from the Main System while maintaining chart clarity.
Trend Sensitivity Adjustment:
The "Trend Strength Threshold" parameter allows fine-tuning of color change sensitivity. Lower values make the indicator more responsive to minor trends, while higher values require stronger momentum for color changes.
Strategic Trading Applications
1. Trend Identification and Confirmation Strategy
Bullish Confirmation: Look for predominantly blue moving averages across multiple timeframes accompanied by blue candlesticks
Bearish Confirmation: Look for predominantly orange moving averages across multiple timeframes accompanied by orange candlesticks
Trend Weakness Detection: Watch for moving averages changing from blue to gray/orange or from orange to gray/blue
2. Multi-Timeframe Alignment Trading
High-Probability Entries: Enter positions when all three key timeframes (short, medium, long) align in the same direction
Exit Signals: Consider reducing positions when timeframes begin to diverge or when candlestick color changes to white (consolidation)
3. Support and Resistance Identification
Moving averages serve as dynamic support/resistance levels
Color changes at these levels indicate whether support/resistance is strengthening or weakening
4. Market Regime Adaptation
Trend-Following Mode: During blue/orange candlestick periods, employ trend-following strategies
Range-Trading Mode: During white candlestick periods, employ range-bound or mean-reversion strategies
Core Philosophical Framework and Calculation Logic
Underlying Technical Analysis Principles
Our indicator is built upon the principle that trends exist simultaneously across multiple timeframes, and the convergence or divergence of these timeframes provides valuable information about trend strength and potential reversals.
Calculation Methodology
Trend Strength Formula:
For each moving average, we calculate:
Sum of upward movements over the lookback period
Sum of downward movements over the lookback period
Net directional bias as a normalized value between -1 and +1
This approach provides a more nuanced understanding of trend momentum compared to simple directional analysis.
Threshold-Based Classification:
Values above the positive threshold indicate sustainable upward momentum
Values below the negative threshold indicate sustainable downward momentum
Values within the threshold range indicate consolidation or weak trends
Why This Approach Is Effective
Early Warning System: Color changes in individual moving averages often precede overall market regime changes, providing early reversal signals.
Noise Reduction: By requiring alignment across multiple timeframes for candlestick coloring, we filter out false signals common in single-timeframe analysis.
Visual Processing Efficiency: The color-coded system allows rapid interpretation of complex multi-timeframe information, reducing cognitive load during fast market conditions.
Adaptability: Configurable parameters allow adjustment for different market conditions (high volatility vs. low volatility) and trading styles (scalping vs. position trading).
This indicator is particularly valuable for cryptocurrency trading due to the market's characteristic high volatility and strong trend tendencies. By providing clear visual cues about trend strength and alignment across multiple timeframes, it helps traders remain aligned with the dominant market direction while avoiding periods of choppy, directionless price action.
The system's dual-layer confirmation (moving average colors + candlestick colors) creates a robust framework for identifying high-probability trading opportunities while maintaining flexibility to adapt to changing market conditions.
Volatility Momentum Suite | Lyro RSVolatility Momentum Suite is an advanced momentum and volatility-based oscillator designed to deliver a complete view of trend strength, acceleration, and market extremes in a single pane. By combining rate-of-change smoothing, adaptive moving averages, standard deviation bands, and momentum acceleration, the indicator provides clear structural insight into trend continuation, exhaustion, and potential reversals.
Built with multiple display and signal modes, it adapts seamlessly to both trend-following and mean-reversion workflows while maintaining strong visual clarity.
Key Features
Momentum Core (Smoothed RoC)
The foundation of the indicator is a Rate of Change (RoC) calculation applied to a selectable price source. This RoC is smoothed using one of 14+ moving average types, including EMA, HMA, KAMA, FRAMA, JMA, and more, allowing precise control over responsiveness versus smoothness.
Standard Deviation Bands
Dynamic deviation bands are calculated around the smoothed momentum line using rolling standard deviation. Two band layers are plotted:
Inner bands for early expansion signals
Outer bands for extreme conditions
These bands adapt automatically to volatility, highlighting momentum expansions, compressions, and exhaustion zones.
Momentum Acceleration
A dedicated acceleration line measures the momentum of momentum itself. This helps identify:
Early trend ignition
Momentum deceleration before reversals
Continuation strength during expansions
Acceleration smoothing and MA type are fully configurable.
Multi-Mode Signal System
Trend Mode
Colors momentum and price according to position above or below the zero line, emphasizing directional bias and trend continuation.
Heikin Ashi Candles Mode
Applies Heikin Ashi logic directly to the momentum series, filtering noise and revealing smoother trend transitions through candle structure.
Extremes Mode
Detects statistically extreme momentum conditions beyond outer deviation bands. Signals are only confirmed after a Heikin Ashi momentum flip, reducing premature reversal entries.
Histogram Mode
Displays the difference between momentum and its signal line as a histogram, useful for divergence spotting and momentum shifts.
Histogram & Signal Line
An EMA signal line is applied to the smoothed momentum, producing a histogram that visually tracks momentum expansion, contraction, and directional changes with adaptive coloring.
Visual Customization
Choose from multiple predefined color palettes:
Classic
Mystic
Accented
Royal
Or define your own bullish and bearish colors.
Additional visual features include:
Momentum-colored candles
Heikin Ashi momentum candles
Band shading and fills
Optional zero-line reference
Integrated Status Table
A built-in table summarizes the real-time state of:
Trend bias
Heikin Ashi momentum direction
Extreme overbought / oversold conditions
This allows rapid decision-making without needing to interpret every visual element manually.
How It Works
Momentum Calculation
Computes Rate of Change on the selected source and smooths it using the chosen moving average.
Volatility Structure
Builds adaptive deviation bands from rolling standard deviation of the momentum line.
Acceleration Layer
Measures the rate of momentum change to detect early shifts in strength.
Mode-Dependent Logic
Trend mode focuses on directional bias
HA mode smooths momentum structure
Extremes mode filters reversals using volatility and HA confirmation
Histogram mode emphasizes momentum differentials
Signals & Alerts
Automatic alerts trigger on:
Momentum crossing above or below zero
Heikin Ashi momentum flips
Confirmed overbought and oversold extremes
Practical Use
Trend Confirmation: Sustained momentum above zero with expanding bands supports trend continuation.
Reversal Identification: Momentum pushing beyond outer bands followed by HA confirmation often precedes reversals.
Momentum Quality: Acceleration helps distinguish strong breakouts from weakening moves.
Multi-Timeframe Alignment: Use higher timeframes for bias and lower timeframes for precision entries using the same indicator.
Customization
Adjust RoC length and smoothing for sensitivity
Tune band length and multipliers for volatility conditions
Select display and signal modes based on strategy type
Fully customize colors to match your chart environment
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used alongside other forms of analysis and proper risk management. The author assumes no responsibility for trading decisions made using this indicator.
PDH / PDL + Premarket Levels + VWAP + EMA 📌 PDH / PDL + Premarket Levels + VWAP + EMA (RTH Focused)
This indicator is designed for intraday traders who focus on the US market open and trade around key liquidity and acceptance levels.
It automatically plots:
Previous Day High (PDH) & Previous Day Low (PDL) based on Regular Trading Hours (RTH)
Premarket High (PMH) & Premarket Low (PML)
Session VWAP (Premarket + RTH, OHLC4)
8 EMA with dynamic trend coloring
All key levels are calculated during premarket but are only displayed after the market opens (9:30 ET) to keep the chart clean and actionable.
🔹 What’s Included
1️⃣ PDH / PDL (RTH-based)
Calculated from the prior day’s regular session
Useful for identifying liquidity sweeps, breakouts, and failed auctions
2️⃣ Premarket High / Low (PMH / PML)
Automatically tracked during premarket
Serve as important opening range and acceptance levels
3️⃣ Session VWAP (OHLC4)
Uses (Open + High + Low + Close) / 4
Accumulates from premarket through RTH
Helps identify institutional mean and trend acceptance
4️⃣ 8 EMA (Trend Bias)
Dynamically changes color based on structure:
🟢 Green when price is above PMH, PML, and EMA
🔴 Red when price is below PMH, PML, and EMA
⚪ Neutral when structure is mixed
🧠 How to Use
Look for trend continuation when price holds above PMH and VWAP with a green EMA
Watch for rejections or failures at PDH/PDL for reversal setups
Avoid chop when EMA remains neutral and price is between key levels
Best suited for scalping and momentum trades during the first hours of RTH
⏱ Session Logic
Premarket: 04:00 – 09:30 ET
Regular Trading Hours: 09:30 – 16:00 ET
Levels appear only after market open for clarity
⚠️ Disclaimer
This indicator is intended for educational and informational purposes only and should be used in conjunction with proper risk management and trade confirmation.
Neeson Crypto Cycle - Super Enhanced EditionThe "Neeson Crypto Cycle - Super Enhanced Edition": A Philosophical and Practical Framework for Market Analysis
Originality & Core Philosophy
Most trading indicators focus on a single domain: pure price action, a specific economic theory, or a handful of technical oscillators. The "Neeson Crypto Cycle" breaks this paradigm. Its fundamental originality lies not in inventing one new mathematical formula, but in architecting a multi-dimensional, multi-timeframe convergence framework. It operates on a core philosophical premise: financial markets are Complex Adaptive Systems (CAS) influenced by a symphony of concurrent cycles. These cycles range from mathematical and technical ones visible on the chart, to fundamental economic rhythms, down to collective human psychology and even speculative meta-patterns.
The script is built as a "dashboard of dashboards," attempting to quantify and visualize these disparate layers on a single pane. It does not claim predictive certainty but aims to provide a holistic situational awareness, allowing the trader to identify when multiple, unrelated cycles from different domains align (convergence) or conflict (divergence).
What It Does & How It Achieves It
The indicator functions as a comprehensive market-phase and sentiment analysis engine implemented directly on the TradingView chart. It is an overlay indicator that provides visual plots, background coloring, signal labels, and, most notably, extensive multi-table data panels.
Its implementation can be broken down into several operational layers:
1. The Core Technical Cycle Layer:
This is the foundational price-based engine. It simultaneously tracks multiple proprietary cyclical models derived from moving average crossovers with non-standard periods believed to capture crypto-specific rhythms.
CCT Pi Cycle: Uses the interaction between a 150-period EMA / 471-period SMA pair (for "bottom" identification) and a 111-period SMA / (350-period SMA * 2) pair (for "top" identification). It identifies golden/death crosses within these specific pairs.
Atlantean Signals: A variant using similar periods (471, 150, 350, 111) but with different multipliers (e.g., 0.745) and crossover logic to define "Market Bottom," "Bull Market Start," and "Market Top" events.
Bitcoin Cycle: Based on the interaction between a 116-period SMA and a doubled 365-period SMA.
Golden Pi Cycle: Another variant using SMAs of 111, 350, 150, and 471 periods.
These are not just four random moving average systems; they are distinct models targeting different aspects of the purported "Pi-based" and long-term cyclicality in Bitcoin's price history. The script visually plots these lines and labels their crossover events.
2. The Market Phase & Structural Context Layer:
Background Coloring: It dynamically colors the chart background (blue for "Bottom to Top" phase, orange for "Top to Bottom" phase) based on the sequential logic of Atlantean signals, providing immediate visual context for the perceived market regime.
Halving Event Annotations: It marks key historical and projected Bitcoin halving dates with vertical lines and labels, anchoring price action to this fundamental supply schedule.
3. The Quantitative Dashboard Layer (Technical & On-Chain):
This is where the script transitions from chart plotting to an information system. It renders multiple fixed tables on the chart (bottom-left, bottom-center, bottom-right) only on the last bar.
Technical Sentiment Dashboard (Right): A massive table aggregating over a dozen classic and advanced technical indicators (RSI, MACD, Bollinger Bands, Stochastic, ADX, Ichimoku, Parabolic SAR, Fibonacci levels, etc.). For each, it shows a calculated Status (e.g., "Overbought"), a numeric Value, and a concise Advice (e.g., "Sell"). It then groups these into "Cycle Indicators" (status of the core models above) and "Risk Management" metrics (Max Drawdown, Sharpe Ratio simulation, volatility).
Synthetic On-Chain Metrics Dashboard (Center): Since TradingView cannot pull real on-chain data, the script ingeniously simulates 80 different on-chain metrics (NVT, MVRV, Hash Rate, Exchange Flows, HODL Waves, S2F, etc.) by deriving them from price and volume data. Each metric displays a name, a simulated value, a signal ("Overvalued"), and a color code. This provides a proxy for the fundamental/network health narrative.
Multi-Cycle Systems Dashboard (Left): This table transcends traditional finance, cataloging the status of various long-wave cycles:
Economic Cycles: Kondratieff (50-60yr), Kuznets (15-25yr), Juglar (7-11yr), Kitchin (3-5yr), etc., each with a hardcoded current phase (e.g., "Recession (2020-2030)"), impact, and advice.
Speculative & Novel Cycles: Lunar, Seasonal, Commodity Super, Debt, and Innovation cycles.
Esoteric Systems: A full celestial (astrological) positioning of planets and a Four Pillars of Destiny (Bazi) reading, each with assigned market "impact" and "advice."
4. The Synthesis & Alert Layer:
Comprehensive Statistics: The right dashboard concludes with a tally of "Bullish vs. Bearish Signals" from across all technical and cycle indicators, generating an "Overall Sentiment" score.
Alert System: It creates TradingView alert conditions for every major crossover event from the core cycle models (CCT, Atlantean, Bitcoin, Golden Pi), allowing for automated notifications.
Underlying Calculation Logic & Rationale
The logic is built on convergence and weighted evidence. The creator's hypothesis appears to be that significant market turning points are rarely signaled by one indicator in isolation. Instead, they occur when:
Multiple Price-Based Cycle Models Align: When the CCT, Atlantean, and Bitcoin cycles all approach a "bottom" or "top" signal near the same time, the probability of a true phase change is considered higher.
Technical Conditions Match the Cycle Phase: A "Bull Market Start" signal is more credible if accompanied by oversold RSI/Stochastic, bullish MACD, and money flowing in (rising OBV).
The Macro Backdrop Supports the Narrative: The script hardcodes a specific macroeconomic worldview (e.g., "Tightening Credit Cycle," "AI Revolution Tech Cycle") to remind the user of the broader environment the price cycles are operating within.
Awareness of "Non-Rational" Drivers: By including astrological and Bazi elements, the script acknowledges that market narratives and crowd psychology can sometimes be influenced by or framed within these non-traditional systems. It doesn't necessarily predict with them but tracks them as potential sentiment catalysts.
The calculations for technical indicators are standard. The novelty is in their collective presentation and the synthetic creation of supporting data realms (on-chain, economic, esoteric) to form a complete, albeit highly speculative, "universe" of market-influencing factors.
How to Use It: A Practical Guide
This is not a "set and forget" system that generates simple buy/sell arrows. It is a decision-support and research tool.
Market Phase Identification: First, look at the background color and the status of the core cycle models in the right dashboard. Are you in a blue "Bottom to Top" phase? Check if the Atlantean "Bull Market Start" is active. This sets your primary bias.
Seeking Convergent Signals: Before acting on a cycle signal, cross-reference it with the Technical Sentiment dashboard. For example, an Atlantean "Market Top" signal is stronger if the RSI and Stochastic also show "Overbought," the MACD is "Bearish," and the Fear & Greed Index is in "Extreme Greed." Look for clusters of agreement.
Context from Other Dimensions: Check the On-Chain dashboard. Does the synthetic data suggest the network is "Overheated" or "Undervalued"? Check the Economic Cycle table. Does the perceived long-wave phase (e.g., "Kondratieff Recession") support a risk-on or risk-off stance? This provides narrative context for your trade thesis.
Risk Management Integration: Before sizing a position, check the Risk Management section. What is the current "Max Drawdown" and "Volatility Risk"? The dashboard suggests position sizing ("Light," "Medium," "Heavy") based on this.
Utilizing Alerts: Set alerts for the key cycle crossovers (CCT, Atlantean, etc.). When an alert triggers, it's your cue to open the chart and perform the full multi-dimensional convergence analysis described above, rather than acting on the alert alone.
In essence, the "Neeson Crypto Cycle" is a conceptual trading terminal. It posits that the modern trader, especially in crypto, must synthesize information from technicals, fundamentals, macroeconomics, and market psychology. By attempting to model all these facets in one place—even through estimation and simulation—it aims to give the user a structured framework for asking the right questions about the current state of the market, rather than providing simplistic, one-dimensional answers. Its value is in the breadth of its perspective and the discipline of multi-factor confirmation it encourages.
Neeson Volatility Adaptive Tracker ProVolatility Adaptive Tracker Pro: A Comprehensive Multi-Method Trading System
Executive Summary
The Volatility Adaptive Tracker Pro (VAT Pro) represents a sophisticated fusion of proven technical analysis methodologies with innovative adaptations, creating a unique multi-signal trading system. Unlike single-purpose indicators, VAT Pro combines multiple analytical approaches into a unified framework that addresses the complex realities of modern financial markets. This system is designed for traders who recognize that no single method consistently outperforms, and that market conditions require adaptive, multi-faceted approaches.
Original Innovations: What Sets VAT Pro Apart
1. Hybrid Volatility Measurement System
Most volatility indicators fall into two categories: those based on standard deviation (like Bollinger Bands) or those based on average true range (ATR). VAT Pro introduces a third approach: a weighted volatility measurement system that gives greater importance to recent price movements while maintaining sensitivity to overall market conditions. This creates a dynamic volatility assessment that adapts more responsively to changing market environments than conventional methods.
2. Dual-Layer Signal Architecture
While most indicators generate single-type signals, VAT Pro implements a tiered signaling system that distinguishes between:
Primary trend-following signals (based on price crossing adaptive volatility bands)
Secondary volume-confirmed signals (requiring both price movement and exceptional volume)
This dual-layer approach recognizes that not all market moves have equal significance, and that volume confirmation often signals more substantial moves worthy of special attention.
3. State-Based Logic with Memory
Conventional indicators typically generate signals independently on each bar. VAT Pro introduces persistent state tracking that maintains awareness of whether the market is currently in a bullish, bearish, or neutral condition. This prevents signal redundancy, reduces false signals, and provides valuable context for interpreting current market conditions.
What VAT Pro Does: Comprehensive Market Analysis
Primary Functions
Trend Identification: Detects transitions between bullish and bearish market conditions using multiple confirmation criteria.
Volume Analysis: Identifies exceptional trading activity that often precedes or confirms significant price movements.
Volatility Assessment: Continuously measures market volatility and adjusts sensitivity parameters accordingly.
Visual Context Provision: Uses color-coded price bars, trend lines, and clear signal markers to provide immediate visual feedback.
Multi-Timeframe Compatibility: Functions effectively across various trading timeframes from intraday to positional trading.
Implementation Methodology: The Technical Framework
Core Analytical Approaches
Among the hundreds of available technical analysis methods, VAT Pro specifically implements and integrates:
A. Adaptive Volatility Channel System
This approach modifies the traditional volatility channel concept by:
Using weighted moving averages for volatility calculation rather than simple or exponential averages
Implementing asymmetric response to upward versus downward volatility
Maintaining dynamic channel width that adjusts based on recent market conditions
The system falls within the broader category of volatility-adjusted trend following but introduces unique adaptations that improve responsiveness while maintaining stability.
B. Volume-Price Confirmation Method
Within volume analysis, VAT Pro specifically employs:
Threshold-based volume spike detection (volume exceeding moving average by specified multiples)
Price-direction confirmation (requiring price movement in the expected direction)
Contextual filtering (only considering volume signals in specific market conditions)
This represents a specific implementation within the volume confirmation family of methods, distinguished by its customizable thresholds and filtering logic.
C. Trailing Stop with Adaptive Positioning
The system implements a specific variant of trailing stop methodology characterized by:
State-dependent positioning (different logic for trending versus ranging markets)
Volatility-adjusted distance (stop levels adapt to current market conditions)
Memory of previous positions (the system "remembers" previous trend states)
This approach represents an advanced form of trailing stop placement that combines elements of volatility adjustment with trend state awareness.
Calculation Philosophy: The Core Principles
1. Weighted Response Philosophy
VAT Pro operates on the principle that recent market action should have greater influence than distant history, but not to the exclusion of broader context. This is implemented through custom weighting algorithms that balance responsiveness with stability.
2. Multi-Factor Confirmation Principle
The system is built on the premise that multiple confirming factors (price action, volume, volatility) provide more reliable signals than single-factor approaches. This represents a practical implementation of convergence/divergence analysis across different market dimensions.
3. State Transition Logic
Rather than viewing each bar in isolation, VAT Pro analyzes sequences of price action to determine market states and state transitions. This recognizes that markets often move through identifiable phases (accumulation, trending, distribution, ranging) that require different analytical approaches.
4. Adaptive Sensitivity
The system automatically adjusts its sensitivity based on current market volatility, becoming more responsive in low-volatility conditions and more stable in high-volatility environments. This represents a practical implementation of volatility-adjusted trading logic.
Practical Application: How to Use VAT Pro
Initial Setup and Configuration
Parameter Customization: Begin with default settings, then adjust based on:
Your trading instrument's typical volatility characteristics
Your preferred trading timeframe
Your risk tolerance and trading style
Visual Configuration: Customize colors and display settings to match your charting preferences while maintaining clear signal visibility.
Trading Methodology Integration
VAT Pro supports multiple trading approaches:
For Trend Following:
Use primary signals when confirmed by overall market direction
Employ the adaptive line as a dynamic trailing stop
Monitor state transitions for trend continuation or reversal clues
For Breakout Trading:
Watch for high-volume signals at key price levels
Use volatility bands to identify potential breakout ranges
Employ volume confirmation to distinguish genuine breakouts from false moves
For Position Management:
Utilize the color-coded bar system for immediate trend awareness
Monitor multiple signal types for confirmation or warning signs
Adjust position sizes based on signal strength and market state
Signal Interpretation Framework
Primary Signal Interpretation:
Bullish signals suggest potential long opportunities
Bearish signals indicate potential short opportunities
Signal clustering often indicates stronger moves
Volume Signal Significance:
High-volume buy signals often precede sustained upward moves
High-volume sell signals frequently indicate distribution or panic selling
Volume signals without price confirmation require caution
Contextual Analysis:
Consider market state when interpreting signals
Evaluate signal strength based on recent volatility
Monitor multiple timeframes for confirmation
Performance Characteristics and Best Practices
Optimal Market Conditions
VAT Pro performs best in markets exhibiting:
Clear trending characteristics (for trend-following signals)
Occasional volatility expansions (for volume signals)
Reasonable liquidity (for accurate volume analysis)
Risk Management Integration
Use signal strength to adjust position sizing
Employ the adaptive line for stop-loss placement
Consider market state when determining risk levels
Complementary Tools
For best results, combine VAT Pro with:
Support and resistance analysis
Longer-term trend assessment
Fundamental analysis (for longer timeframes)
Market structure analysis
Conclusion: A Modern Multi-Method Approach
The Volatility Adaptive Tracker Pro represents a significant advancement in technical analysis tools by intelligently combining multiple proven methodologies into a coherent, adaptive system. Its original innovations in weighted volatility measurement, dual-layer signaling, and state-based logic address common limitations of conventional indicators while maintaining practical usability.
By specifically implementing adaptive volatility channels, volume-price confirmation, and state-aware trailing stops, VAT Pro provides traders with a comprehensive toolkit that adapts to changing market conditions while maintaining methodological rigor. This multi-method approach recognizes the complex reality of financial markets while providing clear, actionable signals based on sound technical principles.
Whether used as a primary trading system or as a confirming component within a broader strategy, VAT Pro offers sophisticated analytical capabilities in an accessible, visually intuitive format that supports informed trading decisions across various market conditions and timeframes.
Price Probability Engine - Volatility & Structure-Based TargetsThe aim of the indicator is:
To provide adaptive, probability-weighted price target zones that help traders frame where price is most likely to interact next, without predicting when or guaranteeing direction.
Price Probability Engine is a target-projection overlay that blends three independent “next-move” reference methods into a single pair of AVG targets:
AVG Bull = a probabilistic upside objective
AVG Bear = a probabilistic downside objective
It is designed to help you frame the most reasonable near-term price zones using both volatility (ATR) and structure (pivot swings + measured moves) rather than relying on a single indicator.
What you see on the chart
When enabled, the script plots:
AVG Bull line (upper target)
AVG Bear line (lower target)
Optional last-bar labels that print the current target values
The overlay is scale-locked so the plots stay aligned with price when you scroll/zoom the chart.
How it works (conceptual, step-by-step)
1) ATR “reach filter” (probability gating)
All components are first checked against a reach filter:
A target is considered “reachable” only if it is within
Reach Filter × ATR from the current price.
This prevents extremely distant projections from dominating the final average.
2) Three component target engines
The script computes three upside candidates and three downside candidates:
A) ATR Component (volatility projection)
Uses ATR Length and ATR Multiplier
Projects a simple near-term band around price:
atrBull = close + ATR × mult
atrBear = close - ATR × mult
Direction mode:
Candle: compares close to close
Momentum(3): uses close − close
B) AutoFib Component (swing extension)
Detects swing highs/lows using pivot logic (Left/Right bars)
Projects an extension using a selectable Fib level (1.272 / 1.414 / 1.618 / 2.0 / 2.618)
Gives a structure-based target derived from the current swing range
C) Lindsey Component (measured-move target)
Detects a 3-point pivot sequence (P1/P2/P3) and projects a measured move to P4:
Bull: from a low-high-higher-low sequence
Bear: from a high-low-lower-high sequence
Optional P1/P2/P3 markers can be displayed for learning/debugging
3) Dynamic weighting (closer targets matter more)
If Dynamic Weights is enabled, each component’s weight increases as the target gets closer to price (within the reach window).
This means the final AVG tends to favor targets that are both reachable and near-term relevant.
You can control:
Base Weight (Fib / Lindsey / ATR)
Dynamic Power (how aggressively “closer” becomes “heavier”)
4) Outlier trimming (stability)
If Trim Outlier Component is enabled, the script:
computes a simple median reference of the remaining component targets
drops any target that deviates from the median by more than
Outlier Threshold × ATR
This reduces sudden jumps when one method produces an unusually extreme projection.
5) Final output: a weighted average (bull + bear)
The remaining eligible components are combined into:
AVG Bull (weighted average of bull candidates)
AVG Bear (weighted average of bear candidates)
If no components pass the reach filter (or are trimmed), the AVG line can temporarily become unavailable until valid inputs re-appear.
How to use it (practical workflow)
Pick your timeframe, then tune ATR:
Start with ATR Length 14 and ATR Mult 1.0–1.5
Set a reasonable Reach Filter (x ATR):
Smaller = only near targets
Larger = includes more distant projections
Decide how you want it to behave:
Dynamic Weights ON for “closer targets dominate”
Outlier Trim ON for smoother / less erratic averages
Use the AVG lines as planning zones, not certainties:
They are best treated as “where price is most likely to seek next” based on the blend of volatility + structure.
A common use is to monitor how price reacts as it approaches either AVG line (stalling, rejection, acceleration), and then reassess as new pivots/ATR values update.
Settings guide (quick)
ATR Length / Multiplier: controls the volatility envelope
Direction Mode: changes the bias input for ATR projection
Lindsey Left/Right: smaller = more sensitive pivots; larger = fewer, more meaningful pivots
Fib Left/Right + Extension: controls the swing structure target
Reach Filter: controls what qualifies as a realistic near-term target
Dynamic Power: higher = stronger preference for the nearest target
Outlier Threshold: higher = fewer removals; lower = more aggressive trimming
Notes / Transparency
This script does not place trades or guarantee outcomes. It is a visual target framework that adapts as volatility and market structure change. For best clarity, publish charts with this script on a clean layout so the AVG lines and labels are easy to identify.
