DCA Investment Tracker Pro [tradeviZion]DCA Investment Tracker Pro: Educational DCA Analysis Tool
An educational indicator that helps analyze Dollar-Cost Averaging strategies by comparing actual performance with historical data calculations.
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💡 Why I Created This Indicator
As someone who practices Dollar-Cost Averaging, I was frustrated with constantly switching between spreadsheets, calculators, and charts just to understand how my investments were really performing. I wanted to see everything in one place - my actual performance, what I should expect based on historical data, and most importantly, visualize where my strategy could take me over the long term .
What really motivated me was watching friends and family underestimate the incredible power of consistent investing. When Napoleon Bonaparte first learned about compound interest, he reportedly exclaimed "I wonder it has not swallowed the world" - and he was right! Yet most people can't visualize how their $500 monthly contributions today could become substantial wealth decades later.
Traditional DCA tracking tools exist, but they share similar limitations:
Require manual data entry and complex spreadsheets
Use fixed assumptions that don't reflect real market behavior
Can't show future projections overlaid on actual price charts
Lose the visual context of what's happening in the market
Make compound growth feel abstract rather than tangible
I wanted to create something different - a tool that automatically analyzes real market history, detects volatility periods, and shows you both current performance AND educational projections based on historical patterns right on your TradingView charts. As Warren Buffett said: "Someone's sitting in the shade today because someone planted a tree a long time ago." This tool helps you visualize your financial tree growing over time.
This isn't just another calculator - it's a visualization tool that makes the magic of compound growth impossible to ignore.
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🎯 What This Indicator Does
This educational indicator provides DCA analysis tools. Users can input investment scenarios to study:
Theoretical Performance: Educational calculations based on historical return data
Comparative Analysis: Study differences between actual and theoretical scenarios
Historical Projections: Theoretical projections for educational analysis (not predictions)
Performance Metrics: CAGR, ROI, and other analytical metrics for study
Historical Analysis: Calculates historical return data for reference purposes
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🚀 Key Features
Volatility-Adjusted Historical Return Calculation
Analyzes 3-20 years of actual price data for any symbol
Automatically detects high-volatility stocks (meme stocks, growth stocks)
Uses median returns for volatile stocks, standard CAGR for stable stocks
Provides conservative estimates when extreme outlier years are detected
Smart fallback to manual percentages when data insufficient
Customizable Performance Dashboard
Educational DCA performance analysis with compound growth calculations
Customizable table sizing (Tiny to Huge text options)
9 positioning options (Top/Middle/Bottom + Left/Center/Right)
Theme-adaptive colors (automatically adjusts to dark/light mode)
Multiple display layout options
Future Projection System
Visual future growth projections
Timeframe-aware calculations (Daily/Weekly/Monthly charts)
1-30 year projection options
Shows projected portfolio value and total investment amounts
Investment Insights
Performance vs benchmark comparison
ROI from initial investment tracking
Monthly average return analysis
Investment milestone alerts (25%, 50%, 100% gains)
Contribution tracking and next milestone indicators
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📊 Step-by-Step Setup Guide
1. Investment Settings 💰
Initial Investment: Enter your starting lump sum (e.g., $60,000)
Monthly Contribution: Set your regular DCA amount (e.g., $500/month)
Return Calculation: Choose "Auto (Stock History)" for real data or "Manual" for fixed %
Historical Period: Select 3-20 years for auto calculations (default: 10 years)
Start Year: When you began investing (e.g., 2020)
Current Portfolio Value: Your actual portfolio worth today (e.g., $150,000)
2. Display Settings 📊
Table Sizes: Choose from Tiny, Small, Normal, Large, or Huge
Table Positions: 9 options - Top/Middle/Bottom + Left/Center/Right
Visibility Toggles: Show/hide Main Table and Stats Table independently
3. Future Projection 🔮
Enable Projections: Toggle on to see future growth visualization
Projection Years: Set 1-30 years ahead for analysis
Live Example - NASDAQ:META Analysis:
Settings shown: $60K initial + $500/month + Auto calculation + 10-year history + 2020 start + $150K current value
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🔬 Pine Script Code Examples
Core DCA Calculations:
// Calculate total invested over time
months_elapsed = (year - start_year) * 12 + month - 1
total_invested = initial_investment + (monthly_contribution * months_elapsed)
// Compound growth formula for initial investment
theoretical_initial_growth = initial_investment * math.pow(1 + annual_return, years_elapsed)
// Future Value of Annuity for monthly contributions
monthly_rate = annual_return / 12
fv_contributions = monthly_contribution * ((math.pow(1 + monthly_rate, months_elapsed) - 1) / monthly_rate)
// Total expected value
theoretical_total = theoretical_initial_growth + fv_contributions
Volatility Detection Logic:
// Detect extreme years for volatility adjustment
extreme_years = 0
for i = 1 to historical_years
yearly_return = ((price_current / price_i_years_ago) - 1) * 100
if yearly_return > 100 or yearly_return < -50
extreme_years += 1
// Use median approach for high volatility stocks
high_volatility = (extreme_years / historical_years) > 0.2
calculated_return = high_volatility ? median_of_returns : standard_cagr
Performance Metrics:
// Calculate key performance indicators
absolute_gain = actual_value - total_invested
total_return_pct = (absolute_gain / total_invested) * 100
roi_initial = ((actual_value - initial_investment) / initial_investment) * 100
cagr = (math.pow(actual_value / initial_investment, 1 / years_elapsed) - 1) * 100
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📊 Real-World Examples
See the indicator in action across different investment types:
Stable Index Investments:
AMEX:SPY (SPDR S&P 500) - Shows steady compound growth with standard CAGR calculations
Classic DCA success story: $60K initial + $500/month starting 2020. The indicator shows SPY's historical 10%+ returns, demonstrating how consistent broad market investing builds wealth over time. Notice the smooth theoretical growth line vs actual performance tracking.
MIL:VUAA (Vanguard S&P 500 UCITS) - Shows both data limitation and solution approaches
Data limitation example: VUAA shows "Manual (Auto Failed)" and "No Data" when default 10-year historical setting exceeds available data. The indicator gracefully falls back to manual percentage input while maintaining all DCA calculations and projections.
MIL:VUAA (Vanguard S&P 500 UCITS) - European ETF with successful 5-year auto calculation
Solution demonstration: By adjusting historical period to 5 years (matching available data), VUAA auto calculation works perfectly. Shows how users can optimize settings for newer assets. European market exposure with EUR denomination, demonstrating DCA effectiveness across different markets and currencies.
NYSE:BRK.B (Berkshire Hathaway) - Quality value investment with Warren Buffett's proven track record
Value investing approach: Berkshire Hathaway's legendary performance through DCA lens. The indicator demonstrates how quality companies compound wealth over decades. Lower volatility than tech stocks = standard CAGR calculations used.
High-Volatility Growth Stocks:
NASDAQ:NVDA (NVIDIA Corporation) - Demonstrates volatility-adjusted calculations for extreme price swings
High-volatility example: NVIDIA's explosive AI boom creates extreme years that trigger volatility detection. The indicator automatically switches to "Median (High Vol): 50%" calculations for conservative projections, protecting against unrealistic future estimates based on outlier performance periods.
NASDAQ:TSLA (Tesla) - Shows how 10-year analysis can stabilize volatile tech stocks
Stable long-term growth: Despite Tesla's reputation for volatility, the 10-year historical analysis (34.8% CAGR) shows consistent enough performance that volatility detection doesn't trigger. Demonstrates how longer timeframes can smooth out extreme periods for more reliable projections.
NASDAQ:META (Meta Platforms) - Shows stable tech stock analysis using standard CAGR calculations
Tech stock with stable growth: Despite being a tech stock and experiencing the 2022 crash, META's 10-year history shows consistent enough performance (23.98% CAGR) that volatility detection doesn't trigger. The indicator uses standard CAGR calculations, demonstrating how not all tech stocks require conservative median adjustments.
Notice how the indicator automatically detects high-volatility periods and switches to median-based calculations for more conservative projections, while stable investments use standard CAGR methods.
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📈 Performance Metrics Explained
Current Portfolio Value: Your actual investment worth today
Expected Value: What you should have based on historical returns (Auto) or your target return (Manual)
Total Invested: Your actual money invested (initial + all monthly contributions)
Total Gains/Loss: Absolute dollar difference between current value and total invested
Total Return %: Percentage gain/loss on your total invested amount
ROI from Initial Investment: How your starting lump sum has performed
CAGR: Compound Annual Growth Rate of your initial investment (Note: This shows initial investment performance, not full DCA strategy)
vs Benchmark: How you're performing compared to the expected returns
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⚠️ Important Notes & Limitations
Data Requirements: Auto mode requires sufficient historical data (minimum 3 years recommended)
CAGR Limitation: CAGR calculation is based on initial investment growth only, not the complete DCA strategy
Projection Accuracy: Future projections are theoretical and based on historical returns - actual results may vary
Timeframe Support: Works ONLY on Daily (1D), Weekly (1W), and Monthly (1M) charts - no other timeframes supported
Update Frequency: Update "Current Portfolio Value" regularly for accurate tracking
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📚 Educational Use & Disclaimer
This analysis tool can be applied to various stock and ETF charts for educational study of DCA mathematical concepts and historical performance patterns.
Study Examples: Can be used with symbols like AMEX:SPY , NASDAQ:QQQ , AMEX:VTI , NASDAQ:AAPL , NASDAQ:MSFT , NASDAQ:GOOGL , NASDAQ:AMZN , NASDAQ:TSLA , NASDAQ:NVDA for learning purposes.
EDUCATIONAL DISCLAIMER: This indicator is a study tool for analyzing Dollar-Cost Averaging strategies. It does not provide investment advice, trading signals, or guarantees. All calculations are theoretical examples for educational purposes only. Past performance does not predict future results. Users should conduct their own research and consult qualified financial professionals before making any investment decisions.
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© 2025 TradeVizion. All rights reserved.
Forecasting
Previous Two Days HL + Asia H/L + 4H Vertical Lines📊 Indicator Overview
This custom TradingView indicator visually marks key market structure levels and session data on your chart using lines, labels, boxes, and vertical guides. It is designed for traders who analyze intraday and multi-session behavior — especially around the New York and Asia sessions — with a focus on 4-hour price ranges.
🔍 What the Indicator Tracks
1. Previous Two Days' Ranges (6PM–5PM NY Time)
PDH/PDL (Day 1 & Day 2): Draws horizontal lines marking the previous two trading days’ highs and lows.
Midlines: Calculates and displays the midpoint between each day’s high and low.
Color-Coded: Uses strong colors for Day 1 and more transparent versions for Day 2, to help differentiate them.
2. Asia Session High/Low (6 PM – 2 AM NY Time)
Automatically tracks the high and low during the Asia session.
Extends these levels until the following day’s NY close (4 PM).
Shows a midline of the Asia session (optional dotted line).
Highlights the Asia session background in gray.
Labels Asia High and Low on the chart for easy reference.
3. Last Closed 4-Hour Candle Range
At the start of every new 4H candle, it:
Draws a box from the last closed 4H candle.
Box spans horizontally across a set number of bars (adjustable).
Top and bottom lines indicate the high and low of that 4H candle.
Midline, 25% (Q1) and 75% (Q3) levels are also drawn inside the box using dotted lines.
Helps traders identify premium/discount zones within the previous 4H range.
4. Vertical 4H Time Markers
Draws vertical dashed lines to mark the start and end of the last 4H candle range.
Based on the standard 4H bar timing in NY (e.g. 5:00, 9:00, 13:00, 17:00).
⚙️ Inputs & Options
Line thickness, color customization for all levels.
Option to place labels on the right or left side of the chart.
Toggle for enabling/disabling the 4H box.
Adjustable box extension length (how far to extend the range visually).
✅ Ideal Use Cases
Identifying reaction zones from prior highs/lows.
Spotting reversals during Asia or NY session opens.
Trading intraday setups based on 4H structure.
Anchoring scalping or swing entries off major session levels.
Enhanced Seasonality Trade BacktestEnhanced Seasonality Trade Backtest
Overview
A comprehensive Pine Script indicator that backtests seasonal trading strategies by analyzing historical price performance during specific date ranges. The tool provides detailed statistics, visual markers, and election cycle filtering to identify profitable seasonal patterns.
Key Features
📊 Backtesting Engine
Tests up to 50 years of historical data
Configurable entry/exit dates (day/month)
Automatic holiday/weekend date adjustment
Separate analysis for long and short positions
🗳️ Election Cycle Filter
All Years: Test every year in the lookback period
Election Years: US presidential election years only (2024, 2020, 2016...)
Pre-Election Years: Years before elections (2023, 2019, 2015...)
Post-Election Years: Years after elections (2021, 2017, 2013...)
📈 Comprehensive Statistics
Win rate percentage
Total and average returns
Best/worst performing years
Detailed trade-by-trade breakdown
Years tested vs. years filtered
🎯 Visual Indicators
Entry/exit lines for all historical trades
Future trade date projections
Background highlighting during trade periods
Color-coded performance labels
⚙️ Customization Options
Toggle between long/short analysis
Show/hide price and date details
Adjustable table position
Future trade date visualization
Use Cases
Seasonal Trading: Identify recurring profitable periods (e.g., "Sell in May")
Election Cycle Analysis: Test how political cycles affect market performance
Strategy Validation: Backtest specific date-range strategies
Risk Assessment: Analyze worst-case scenarios and drawdowns
Perfect For
Swing traders looking for seasonal edges
Portfolio managers timing market entries/exits
Researchers studying market cyclicality
Anyone wanting to quantify seasonal market behavior
ONLY WORKS IN 1D TIME FRAME
Session Status Table📌 Session Status Table
Session Status Table is an indicator that displays the real-time status of the four major trading sessions:
* 🇯🇵 Asia (Tokyo)
* 🇬🇧 London
* 🇺🇸 New York AM
* 🇺🇸 New York PM
It shows which sessions are currently open, how much time remains until they open or close, and optionally sends alerts in advance.
🧩 Features:
* Real-time session table — shows the status of each session on the chart.
* Color-coded statuses:
* 🟢 Green – Session is open
* 🔴 Red – Session is closed
* ⚪ Gray – Weekend
* Countdown timers until session open or close.
* User alerts — receive a notification a custom number of minutes before a session starts.
⚙️ Customization:
* Table position — fully configurable.
* Session colors — customizable for open, closed, and weekend states.
* Session labels — customizable with icons.
* Notifications:
* Enabled through TradingView's Alerts panel.
* User-defined lead time before session opens.
🕒 Time Zones:
All times are calculated in UTC to ensure consistency across different markets and regions, avoiding discrepancies from time zones and daylight saving time.
🚨 How to enable alerts:
1. Open the "Alerts" panel in TradingView.
2. Click "Create Alert".
3. In the condition dropdown, choose "Session Status Table".
4. Set to any alert() trigger.
5. Save — you'll be notified a set number of minutes before each session begins.
ℹ️ Technical Notes:
* Built with Pine Script version 6.
* Logically divided into clear sections: inputs, session calculations, table rendering, and alerts.
* Optimized for performance and reliability on all timeframes.
Ideal for traders who use session activity in their strategies — especially in Forex, crypto, and futures markets.
QG-Particle OscillatorThis is an advanced oscillator based on auxiliary particle filter. It separates signal from noise and uses smoothing algorithm similar to JMA.
The main oscillator line is a smoothed and detrended version of the price series similar to detrended oscillator line. The purple/aqua lines are a prediction based on an additional adaptive smoothing technique and current volatility.
The prediction is smoothed twice and is supposed to represent the true signal without any noise, thus the prediction should always be less than the raw detrend line. However, certain volatile conditions will cause the prediction to cross above/below the detrend line. When this happens the likelihood of a reversal or pullback is extremely high.
There are 3 dots on the zero line- Red, Green and Yellow. The yellow dots warn of an eminent pullback 2 bars before it actually occurs. This is a non-repainting indicator.
One can also use this indicator to trade CCI signals, similar to zero line rejection in existing trend.
The indicator has 2 settings- Period and Phase. The phase represents cycle phase and Period represents oscillator period.
Credits: This indicator has been originally published for Ninjatrader and this is conversion into pinescript.
SectorRotationRadarThe Sector Rotation Radar is a powerful visual analysis tool designed to track the relative strength and momentum of a stock compared to a benchmark index and its associated sector ETF. It helps traders and investors identify where an asset stands within the broader market cycle and spot rotation patterns across sectors and timeframes.
🔧 Key Features:
Benchmark Comparison: Measures the relative performance (strength and momentum) of the current symbol against a chosen benchmark (default: SPX), highlighting over- or underperformance.
Automatic Sector Detection: Automatically links stocks to their relevant sector ETFs (e.g., XLK, XLF, XLU), based on an extensive internal symbol map.
Multi-Timeframe Analysis: Supports simultaneous comparison across the current, next, and even third-higher timeframes (e.g., Daily → Weekly → Monthly), providing a bigger-picture perspective of trend shifts.
Tail Visualization: Displays a "trail" of price behavior over time, visualizing how the asset has moved in terms of relative strength and momentum across a user-defined period.
Quadrant-Based Layout: The chart is divided into four dynamic main zones, each representing a phase in the strength/momentum cycle:
🔄 Improving: Gaining strength and momentum
🚀 Leading: High strength and high momentum — top performers
💤 Weakening: Losing momentum while still strong
🐢 Lagging: Low strength and low momentum — underperformers
Clean Chart Visualization:
Background grid with axis labels
Dynamic tails and data points for each symbol
Option to include the associated sector ETF for context
Descriptive labels showing exact strength/momentum values per point
⚙️ Customization Options:
Benchmark Selector: Choose any symbol to compare against (e.g., SPX, Nasdaq, custom index)
Start Date Control: Option to fix a historical start point or use the current data range
Trail Length: Set the number of previous data points to display
Additional Timeframes: Enable analysis of one or two higher timeframes beyond the current
Sector ETF Display: Toggle to show or hide the related sector ETF alongside the asset
📚 Technical Architecture:
The indicator relies on external modules for:
Statistical modeling
Relative strength and momentum calculations
Chart rendering and label drawing
These components work together to compute and display a dynamic, real-time map of asset performance over time.
🧠 Use Case:
Sector Rotation Radar is ideal for traders looking to:
Spot stocks or sectors rotating into strength or weakness
Confirm alignment across multiple timeframes
Identify sector leaders and laggards
Understand how a symbol is positioned relative to the broader market and its peers
This tool is especially valuable for swing traders, sector rotation strategies, and macro-aware investors who want a visual edge in decision-making.
IU Pivot Zones + GMADESCRIPTION:
IU Pivot Zones + GMA is a smart price-action-based indicator that detects meaningful support and resistance zones formed through pivot highs/lows while combining them with dynamic zone generation and Geometric Moving Averages (GMA). This tool is built to help traders visualize institutional breakout/rejection zones with clear, logical mapping and live box management — helping you stay ahead of the move.
The indicator is designed for intraday, swing, and positional traders who want to enhance their trading decisions with visual confluence zones and market structure logic.
USER INPUTS
* Pivot point Lengths: Number of bars used to detect pivot highs/lows
* Zone length: Controls the thickness of the support/resistance zone; higher values create wider zones
* GMA Length: Period for calculating the geometric moving averages based on highs and lows
* Allow Bar/candle Color: Enables or disables special candle coloring when price interacts with the zones
LOGIC OF THE INDICATOR:
* Detects pivot highs and pivot lows using the user-defined length
* Compares consecutive pivot levels to determine if they fall within a valid ATR-based price band to form a zone
* If confirmed, the indicator dynamically plots a resistance or support box between those pivot points, colored respectively (red for resistance, green for support)
* The boxes update in real-time based on price action. If price respects the zone, the box extends forward. If price breaks the zone, the box disappears
* Geometric Moving Averages (GMA) based on logarithmic mean of highs and lows are plotted to offer a trend bias
* Candles that touch the top of the support zone are colored yellow, and those touching the bottom of the resistance zone are orange, enhancing zone reaction visibility
WHY IT IS UNIQUE:
* Uses logarithmic-based GMAs, which are smoother and less reactive than traditional moving averages
* ATR-based zone logic makes it adaptive to volatility instead of using fixed-width zones
* Combines structural levels (pivots), volatility filters (ATR), and trend overlays (GMA) in one unified tool
* Real-time zone extension and disappearance logic based on price interaction
HOW USER CAN BENEFIT FROM IT:
* Spot high-probability breakout or reversal zones that price respects consistently
* Use the GMA cloud for trend confirmation — for example, bullish bias when price is above both GMAs
* Build price action strategies around zone touches, breakouts, or rejections
* Use color-coded candles as real-time alerts for potential entry/exit signals near S/R levels
* Save time by avoiding manual marking of zones on charts across timeframes
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
Last Week's APM & Daily % Move(Corrected)Last Week's Average Price Movement + Daily Percentage Move (based on NY time)
This indicator accurately displays last week's Average Pip Movement (APM) consistently across all timeframes and tracks the true daily percentage move relative to that APM in a clear table in the top-right corner.
Key Features:
-Consistent Last Week's APM: Calculates the average pip movement from Monday to Friday of the previous trading week (based on daily wick-to-wick ranges, divided by 5). This APM value is now stable and the same across all chart timeframes.
-Accurate Live Daily % Move: Tracks the maximum percentage the price has moved (either up or down) since the 5 PM New York time daily open, compared to last week's APM. The percentage holds the maximum value reached during the day and resets at the next 5 PM NY open.
-NY Time Alignment: All time-based calculations are aligned with the New York time zone
Pip Adjustment: Automatically adjusts for JPY pairs.
⚠️ Important: For the intended display and relevance of the daily percentage move, this indicator is best used on timeframes 4-hour and under. On Daily and Weekly timeframes, the APM display will show a message indicating this.
We hope this indicator enhances your trading analysis.
COT-Index-NocTradingCOT Index Indicator
The COT Index Indicator is a powerful tool designed to visualize the Commitment of Traders (COT) data and offer insights into market sentiment. The COT Index is a measurement of the relative positioning of commercial traders versus non-commercial and retail traders in the futures market. It is widely used to identify potential market reversals by observing the extremes in trader positioning.
Customizable Timeframe: The indicator allows you to choose a custom time interval (in months) to visualize the COT data, making it flexible to fit different trading styles and strategies.
How to Use:
Visualize Market Sentiment: A COT Index near extremes (close to 0 or 100) can indicate potential turning points in the market, as it reflects extreme positioning of different market participant groups.
Adjust the Time Interval: The ability to adjust the time interval (in months) gives traders the flexibility to analyze the market over different periods, which can be useful in detecting longer-term trends or short-term shifts in sentiment.
Combine with Other Indicators: To enhance your analysis, combine the COT Index with your technical analysis.
This tool can serve as an invaluable addition to your trading strategy, providing a deeper understanding of the market dynamics and the positioning of major market participants.
Doganayy2 Buy/Sell & liquidityTrap🔧 User-Changeable Settings and Their Meanings
1. ✅ Is Wick Filter Active?
What does it do?: Controls the length of the candle wick.
Effect: If active, a long wick is considered a trap (a sign of manipulation).
2. 📊 Is Volume Filter Active?
What does it do?: Controls abnormally high volume according to the volume average.
Effect: If active, high volume candles are considered for a liquidity trap signal.
3. 📈 Is RSI Filter Active?
What does it do?: Controls overbought/oversold according to the RSI level.
Effect: If active;
If RSI > ?, a long trap is searched.
If RSI < ?, a short trap is searched.
4. 🔴🟢 Is Candle Color (Direction) Filter Active?
What does it do?: Controls whether the candle is green or red.
Effect: If active;
A red candle (selling pressure) is required for a long trap.
A green candle (buying pressure) is required for a short trap.
5. 🧮 Is Fibonacci Level Filter Active?
What does it do?: Checks whether the price has reached important Fibonacci levels.
Effect: If active;
For a long trap, the price must rise above the Fibo level.
For a short trap, the price must fall below the Fibo level.
6. 📏 Is ATR Filter Active?
What does it do?: Checks whether there is sufficient deviation in the price according to the ATR.
Effect: If active;
A trap signal is given according to whether the price has moved too far from the ATR.
📌 As a result:
As these filters are activated, the system's long/short trap detection becomes tighter and produces fewer but more reliable signals. If you close the filters, you will receive more signals, but reliability may decrease.
Purpose of the indicator: To present buy/sell opportunities by detecting liquidity traps.
DECODE Global Liquidity IndexDECODE Global Liquidity Index 🌊
The DECODE Global Liquidity Index is a powerful tool designed to track and aggregate global liquidity by combining data from the world's 13 largest economies. It offers a comprehensive view of financial liquidity, providing crucial insights into the underlying currents that can influence asset prices and market trends.
The economies covered are: United States, China, European Union, Japan, India, United Kingdom, Brazil, Canada, Russia, South Korea, Australia, Mexico, and Indonesia. The European Union accounts for major individual economies within the EU like Germany, France, Italy, Spain, Netherlands, Poland, etc.
Key Features:
1. Customizable Liquidity Sources
Include Global M2: You can opt to include the M2 money supply from the 13 listed economies. M2 is a broad measure of money supply that includes cash, checking deposits, savings deposits, money market securities, mutual funds, and other time deposits. (Note: Australia uses M3 as its primary measure, which is included when M2 is selected for Australia).
Include Central Bank Balance Sheets (CBBS): Alternatively, or in addition, you can include the total assets held by the central banks of these economies. Central bank balance sheets expand or contract based on monetary policy operations like quantitative easing (QE) or tightening (QT).
Combined View: If you select both M2 and CBBS, and data is available for both, the indicator will display an average of the two aggregated values. If only one source type is selected, or if data for one type is unavailable despite both being selected, the indicator will display the single available and selected component. This provides flexibility in how you define and analyze global liquidity.
2. Lead/Lag Analysis (Forward Projection):
Lead Offset (Days): This feature allows you to project the liquidity index forward by a specified number of days.
Why it's useful: Global liquidity changes can often be a leading indicator for various asset classes, particularly those sensitive to risk appetite, like Bitcoin or growth stocks. These assets might lag shifts in liquidity. By applying a lead (e.g., 90 days), you can shift the liquidity data forward on your chart to more easily visualize potential correlations and identify if current asset price movements might be responding to past changes in liquidity.
3. Rate of Change (RoC) Oscillator:
Year-over-Year % View: Instead of viewing aggregate liquidity, you can switch to a Year-over-Year (YoY%) Rate of Change (ROC) oscillator.
Why it's useful:
Momentum Identification: The ROC highlights the speed and direction of liquidity changes. Positive values indicate liquidity is increasing compared to a year ago, while negative values show it's decreasing.
Turning Points: Oscillators make it easier to spot potential accelerations, decelerations, or reversals in liquidity trends. A cross above the zero line can signal strengthening liquidity momentum, while a cross below can signal weakening momentum.
Cycle Analysis: It helps in assessing the cyclical nature of liquidity provision and its potential impact on market cycles.
This indicator aims to provide a clear, customizable, and insightful measure of global liquidity to aid traders and investors in their market analysis.
Momentum Fusion v1Momentum Fusion v1
Overview
Momentum Fusion v1 (MFusion) is a multi-oscillator indicator that combines several components to analyze market momentum and trend strength. It incorporates modified versions of classic indicators such as PVI (Positive Volume Index), NVI (Negative Volume Index), MFI (Money Flow Index), RSI, Stochastic, and Bollinger Bands Oscillator. The indicator displays a histogram that changes color based on momentum strength and includes "FUSION🔥" signal labels when extreme values are reached.
Indicator Settings
Parameters:
EMA Length – Smoothing period for the moving average (default: 255).
Smoothing Period – Internal calculation smoothing parameter (default: 15).
BB Multiplier – Standard deviation multiplier for Bollinger Bands (default: 2.0).
Show verde / marron / media lines – Toggles the display of auxiliary lines.
Show FUSION🔥 label – Enables/disables signal labels.
Indicator Components
1. PVI (Positive Volume Index)
Formula:
pvi := volume > volume ? nz(pvi ) + (close - close ) / close * sval : nz(pvi )
Description:
PVI increases when volume rises compared to the previous bar and accounts for price percentage change. The stronger the price movement with increasing volume, the higher the PVI value.
2. NVI (Negative Volume Index)
Formula:
nvi := volume < volume ? nz(nvi ) + (close - close ) / close * sval : nz(nvi )
Description:
NVI tracks price movements during declining volume. If the price rises on low volume, it may indicate a "stealth" trend.
3. Money Flow Index (MFI)
Formula:
100 - 100 / (1 + up / dn)
Description:
An oscillator measuring money flow strength. Values above 80 suggest overbought conditions, while values below 20 indicate oversold conditions.
4. Stochastic Oscillator
Formula:
k = 100 * (close - lowest(low, length)) / (highest(high, length) - lowest(low, length))
Description:
A classic stochastic oscillator showing price position relative to the selected period's range.
5. Bollinger Bands Oscillator
Formula:
(tprice - BB midline) / (upper BB - lower BB) * 100
Description:
Indicates the price position relative to Bollinger Bands in percentage terms.
Key Lines & Histogram
1. Verde (Green Line)
Calculation:
verde = marron + oscp (normalized PVI)
Interpretation:
Higher values indicate stronger bullish momentum. A FUSION🔥 signal appears when the value reaches 750+.
2. Marron (Brown Line)
Calculation:
marron = (RSI + MFI + Bollinger Osc + Stochastic / 3) / 2
Interpretation:
A composite oscillator combining multiple indicators. Higher values suggest overbought conditions.
3. Media (Red Line)
Calculation:
media = EMA of marron with smoothing period
Interpretation:
Acts as a signal line for trend confirmation.
4. Histogram
Calculation:
histo = verde - marron
Colors:
Bright green (>100) – Strong bullish momentum.
Light green (>0) – Moderate bullish momentum.
Orange (<0) – Bearish momentum.
Red (<-100) – Strong bearish momentum.
Signals & Alerts
1. FUSION🔥 (Strong Momentum)
Condition:
verde >= 750
Visualization:
A "FUSION🔥" label appears below the chart.
Alert:
Can be set to trigger notifications when the condition is met.
2. Background Aura
Condition:
verde > 850
Visualization:
The chart background turns teal, indicating extreme momentum.
Usage Recommendations
FUSION🔥 Signal – Can be used as a long entry point when confirmed by other indicators.
Histogram:
1. Green bars – Potential long entry.
2. Red/orange bars – Potential short entry.
3. Media & Marron Crossover – Can serve as an additional trend filter.
4. Suitable for a 5-15 minute time frame
Conclusion
Momentum Fusion v1 is a powerful tool for momentum analysis, combining multiple indicators into a unified system. It is suitable for:
Trend traders (catching strong movements).
Scalpers (identifying short-term impulses).
Swing traders (filtering entry points).
The indicator features customizable settings and visual signals, making it adaptable to various trading styles.
TrendLine + AlertsThe TrendLine + Alerts indicator is an advanced technical analysis tool designed to quickly identify trend direction using various moving averages and RMSD deviation. It dynamically generates buy and sell signals and visually marks entry points with price labels on the chart. Additionally, an optional transaction table can be toggled on or off, displaying buy and sell prices along with the percentage returns of individual trades and an aggregated summary row, facilitating the evaluation of trading strategy performance.
🔧 Key Features:
- Supports multiple moving average types: SMA, EMA, HMA, DEMA, TEMA, RMA, FRAMA
- Dynamic trend analysis based on RMSD deviation, adaptable to current market conditions
- Color-coded trend indication: green for uptrends, red for downtrends
- Alert generation: real-time buy and sell signals (TrendLine BUY / SELL)
- Price labels on the chart for better visualization of entry/exit points
- Interactive settings panel allowing selection of data source (open, close, high, low etc.), adjustable moving average length, and RMSD deviation multiplier
- Optionally displays a dynamic transaction table (toggleable via chart settings) that shows:
- Buy: entry prices
- Sell: exit prices
- Percent: percentage return of each trade, displayed as a number
- A summary row that aggregates the percentage returns, offering a quick evaluation of trading performance
⚙️ Settings:
- Ability to select the data source: open, close, high, low, oc2, hl2, occ3, hlc3, ohlc4, hlcc4
- Adjustable moving average length
- Customizable RMSD deviation multiplier
- Toggle switch to enable or disable the transaction table
🚀 Application:
Ideal for traders seeking an effective method to identify trends and turning points in the market. It is suitable for both short-term day trading and long-term trend analysis, with adjustable settings to suit individual trading strategies.
CPR by DSKThis CPR (Central Pivot Range) indicator is designed to provide multi-timeframe insights and simplify trend analysis for traders of all levels. Key features include:
1. Dynamic CPR Levels
Automatically adapts and displays CPR levels based on the current chart timeframe (Daily, Weekly, or Monthly).
Useful for identifying intraday or swing trading opportunities.
2. Market Sentiment Summary Table
A compact summary table indicates the market bias (Bullish/Bearish) using the relative position of the price to the Daily, Weekly, and Monthly CPR Pivots.
Helps you instantly assess the prevailing trend across key timeframes.
3. Target Achievement Status
The summary also highlights if any CPR-based targets or key levels have been hit, offering valuable confirmation for trade setups and exits.
This indicator is ideal for traders seeking a quick, visual overview of market structure and trend strength using the well-known CPR method.
MTF - Quantum Fibonacci ATR/ADR Levels & Targets V_2.0# Quantum Fibonacci Wave Mechanics v2.0 Release Notes
## 🚀 New Features
- Added multi-timeframe alert system for buy/sell signals
- Implemented dynamic label management with price values
- New mid-level trigger option for additional signals
- New EMA trigger option for confirmation signals
- Signal bar highlighting option
- Customizable line widths for all levels
## 🎨 Visual Improvements
- Completely redesigned label system (left-aligned with offsets)
- More intuitive input organization
- Better color customization options
## ⚙️ Technical Upgrades
- Upgraded to Pine Script v6
- Reduced repainting with stricter confirmation checks
- Optimized performance with proper variable initialization
## ⚠️ Note for Existing Users
- Some color parameters have been renamed
- Label positioning has changed (now with configurable offset)
- Review new mid-level trigger option in strategy settings
## 🐛 Bug Fixes
- Fixed potential repainting issues in signal generation
- Improved label cleanup between periods
- More robust security function implementation
## ⚠️ Caution for Mid-Level & EMA Signals
- Mid-Level Reversals may trigger premature entries in ranging markets.
- EMA crossovers can lag; confirm with price action.
CAFX Liquidity Pro V1CAFX Liquidity Pro Indicator
Precision Engineered for Smart Profit-Taking
The CAFX Liquidity Pro Indicator is a powerful trading tool designed to help traders pinpoint high-probability liquidity zones, making it ideal for setting accurate and strategic take profit levels. By identifying where institutional interest is likely to reside, this indicator highlights the areas where price is most likely to react, reverse, or pause—giving you the edge in locking in profits before the market shifts.
Whether you're scalping, day trading, or swing trading, the CAFX Liquidity Pro provides clear visual cues that simplify your decision-making process and enhance your trade management. With a focus on precision and reliability, it helps you avoid emotional exits and instead base your take profits on real market behavior and liquidity dynamics.
Use CAFX Liquidity Pro to stay one step ahead—because knowing where to exit is just as important as knowing when to enter.
EMA5/21 + VWAP + MACD HistogramScript Summary: EMA + VWAP + MACD + RSI Strategy
Objective: Combine multiple technical indicators to identify market entry and exit opportunities, aiming to increase signal accuracy.
Indicators Used:
EMAs (Exponential Moving Averages): Periods of 5 (short-term) and 21 (long-term) to identify trend crossovers.
VWAP (Volume Weighted Average Price): Serves as a reference to determine if the price is in a fair value zone.
MACD (Moving Average Convergence Divergence): Standard settings of 12, 26, and 9 to detect momentum changes.
RSI (Relative Strength Index): Period of 14 to identify overbought or oversold conditions.
Entry Rules:
Buy (Long): 5-period EMA crosses above the 21-period EMA, price is above VWAP, MACD crosses above the signal line, and RSI is above 40.
Sell (Short): 5-period EMA crosses below the 21-period EMA, price is below VWAP, MACD crosses below the signal line, and RSI is below 60.
Exit Rules:
For long positions: When the 5-period EMA crosses below the 21-period EMA or MACD crosses below the signal line.
For short positions: When the 5-period EMA crosses above the 21-period EMA or MACD crosses above the signal line.
Visual Alerts:
Buy and sell signals are highlighted on the chart with green (buy) and red (sell) arrows below or above the corresponding candles.
Indicator Plotting:
The 5 and 21-period EMAs, as well as the VWAP, are plotted on the chart to facilitate the visualization of market conditions.
This script is a versatile tool for traders seeking to combine multiple technical indicators into a single strategy. It can be used across various timeframes and assets, allowing adjustments according to the trader's profile and market characteristics.
Juliano Einhardt Ulguim, Brazil, 05/27/2025.
CPD Approach Algo [ValiantTrader]CPD Approach Algo Indicator Explained
This indicator, created by ValiantTrader, is a sophisticated tool for analyzing price action and market structure across different timeframes. Here's how it works and how traders use it:
Core Functionality
The CPD (Candle Price Distribution) Approach Algo divides the price range into horizontal zones and analyzes several key metrics within each zone:
Price Distribution: Shows where price has spent most time (high concentration areas)
Volume Clusters: Identifies zones with significant trading volume
Pressure Zones: Detects buying/selling pressure in specific price levels
Candle Differences: Highlights transitions between zones
How Traders Use It
1. Identifying Key Levels
The colored zones (green for buy, red for sell, gray neutral) show where price has historically reacted
Dense candle clusters indicate strong support/resistance areas
2. Volume Analysis
Volume clusters reveal where most trading activity occurred
High volume zones often act as magnets for price or reversal points
3. Pressure Detection
The pressure zones (with ↑ and ↓ arrows) show where buying or selling pressure was strongest
Helps identify potential breakout or reversal points
4. Multi-Timeframe Analysis
The custom timeframe input allows analyzing higher timeframe structure while viewing lower timeframe charts
Helps align trades with the dominant timeframe's structure
5. Transition Analysis
The delta values between zones show how price is moving between levels
Positive deltas (green) show upward momentum, negative (red) show downward
Practical Trading Applications
Support/Resistance Trading: Fade price at dense candle clusters with opposing pressure
Breakout Trading: Trade breaks from low-candle-count zones into high-volume zones
Mean Reversion: Trade returns to high-volume value areas after deviations
Trend Confirmation: Consistent pressure in one direction confirms trend strength
The indicator provides a comprehensive view of market structure by combining price, volume, and time elements across customizable timeframes, helping traders make more informed decisions about potential entries, exits, and key levels to watch.
Weekly COT ReportsThis is a separate pane that displays weekly COT reports reported on the CFTC website.
If the Currency is the base it will display on top of the midline. If the Currency is the quote it will display under the midline with the longs and shorts reversed so that all rising long positions put pressure to the upside and all rising shorts put pressure to the downside.
This version contains 16 weeks of data, updated every weekend.
It is based on midnight U.S. Central time.
It works best on the four-hour time frame.
The USD is found under "Market data & Economic Analysis" / Commitment of Traders / ICE Futures U.S. / Futures Only / Short Format
USD Code-098662.
All other are found under "Market data & Economic Analysis" / Commitment of Traders / Chicago Mercantile Exchange / Futures Only / Short Format
EUR Code-099741
CAD Code-090741
AUD Code-232741
GBP Code-096742
JPY Code-097741
NZD Code-112741
CHF Code-092741
CryptoNeo - Crypto Stablecoin MatrixThe CryptoNeo – Crypto Stablecoin Matrix is a forward-looking indicator that decodes broad crypto market sentiment by analyzing how stablecoins behave across spot and futures markets.
Stablecoins are the lifeblood of the crypto ecosystem, and how they move can offer early insight into future market direction. This tool leverages that behavior to forecast potential price action across major cryptocurrencies like BTC, ETH, SOL, DOGE, and other large-cap coins that tend to move in sync with the broader market.
Originally derived from a suite of alpha signals developed for a systematic crypto trading algorithm, this indicator compresses advanced stablecoin flow analytics into a clear and intuitive visual format — designed specifically for discretionary traders.
It is optimized for trading on the 30-minute to 4-hour timeframes, where the nuances of capital flow are most actionable. Whether you’re swing trading majors or scouting key pivot points, this tool provides a fresh edge rooted in stablecoin dynamics.
The Matrix is composed of four core components that signal changes in sentiment, capital flow, and market positioning:
1. Stablecoin Futures Flow (Bullish/Bearish)
Detects shifts in leveraged positioning in the futures market based on proprietary flow dynamics.
🟩 Green squares = bullish futures flow (long bias)
🟥 Red squares = bearish futures flow (short bias)
Helps identify directional sentiment through futures-driven stablecoin movement.
2. Stablecoin Spot Flow (Bullish/Bearish)
Analyzes momentum in spot market stablecoin activity to reveal potential accumulation or distribution.
🟢 Green circles = bullish spot flow (buying pressure)
🔴 Red circles = bearish spot flow (selling pressure)
Offers early signals of demand or profit-taking pressure.
3. Futures Oversold/Overbought Level 1
Identifies early signs of exhaustion or trend slowing based on leveraged market conditions.
🟢 Green diamonds = early oversold signal
🔴 Red diamonds = early overbought signal
Useful for catching subtle turning points or slowing momentum.
4. Futures Oversold/Overbought Level 2
Flags rare and extreme positioning events that may precede major reversals.
🟢 Large green diamonds = deep oversold condition
🔴 Large red diamonds = deep overbought condition
Highlights moments of extreme imbalance or sentiment peaks.
Customization & Flexibility
Adjustable sensitivity settings allow you to fine-tune:
Bullish and bearish Spot and Futures Flow
Thresholds for Level 1 and Level 2 Overbought/Oversold signals
This ensures traders can align signal responsiveness with their trading style and market conditions.
Best Used For:
Swing trading crypto majors (BTC, ETH, SOL, DOGE, etc.)
Timeframes between 30 minutes and 4 hours
Identifying trend reversals and accumulation zones
Tracking macro market sentiment using stablecoin behavior
ML: Lorentzian Classification Premium█ OVERVIEW
Lorentzian Classification Premium represents the culmination of two years of collaborative development with over 1,000 beta testers from the TradingView community. Building upon the foundation of the open-source version, this premium edition introduces powerful enhancements that transform how machine-learning classification can be applied to market analysis.
The premium version maintains the core Lorentzian distance-based classification algorithm while expanding its capabilities through triple the feature dimensionality (up to 15 features), sophisticated mean-reversion detection, first-pullback identification, and a comprehensive signal taxonomy that goes far beyond simple buy/sell signals. Whether you're building automated trading systems, conducting deep market research, or integrating proprietary indicators into ML workflows, this tool provides the advanced edge needed for professional-grade analysis.
█ BACKGROUND
Lorentzian Classification analyzes market structures, especially those exhibiting non-linear distortions under stress, by employing advanced distance metrics like the Lorentzian metric, prominent in fields such as relativity theory. Where traditional indicators assume flat space, we embrace the curve. The heart of this approach is the Lorentzian distance metric—a sophisticated mathematical tool. This framework adeptly navigates the complex curves and distortions of market space, aiming to provide insights that traditional analysis might miss, especially during moments of extreme volatility. It analyzes historical data from a multi-dimensional feature space consisting of various technical indicators of your choosing. Where traditional approaches fail, Lorentzian space reveals the true geometry of market dynamics.
Neighborhoods in Different Geometries: In the above figure, the Lorentzian metric creates distinctive cross-patterns aligned with feature axes (RSI, CCI, ADX), capturing both local similarity and dimensional extremes. This unique geometry allows the algorithm to recognize similar market conditions that Euclidean spheres and Manhattan diamonds would miss entirely. In LC Premium, users can have up to 15 features -- you are not limited to 3-dimensions.
Among the thousands of distance metrics discovered by mathematicians, each perceives data through its own geometric lens. The Lorentzian metric stands apart with its unique ability to capture market behavior during volatile events.
█ COMMUNITY-DRIVEN EVOLUTION
It has been profoundly humbling over the past 2 years to witness this indicator's evolution through the collaborative efforts of our incredible community. This journey has been shaped by thousands of user suggestions and validated through real-world application.
A particularly amazing milestone was the development of a complete community-driven Python port, which meticulously matched even the most minute PineScript quirks. Building on this solid foundation, a new command-line interface (CLI) has opened up exciting possibilities for chart-specific parameter optimization:
Early insights from parameter optimization research: Through grid-search testing across thousands of parameter combinations, the analysis identifies which parameters have the biggest effects on performance and maps regions of stability across different market regimes. This reveals that optimal neighbor counts vary significantly based on market conditions—opening up incredible potential for timeframe-specific optimization.
This is just one of the insights gleaned so far from this ongoing investigation. The potential for chart-specific optimization for any given timeframe could transform how traders approach parameter selection.
Demand from power users for extra capabilities—while keeping the open-source version simple—sparked this Premium release. The open-source branch remains maintained, but the premium tier adds unique features for those who need an analytical edge and to leverage their own custom indicators as feature series for the algorithm.
█ KEY PREMIUM FEATURES
📈 First Pullback Detection System
Automatically identifies high-probability trend-continuation entries after initial momentum moves.
Detects when price retraces to optimal entry zones following breakouts or trend initiations.
Green/red triangle signals often fire before main classification arrows.
Dedicated alerts for both bullish and bearish pullback opportunities.
Based on veryfid's extensive research into pullback mechanics and market structure.
🔄 Dynamic Kernel Regression Envelope
Powerful, zero-setup confluence layer that immediately communicates trend shifts.
Dual-kernel system creates a visual envelope between trend estimates.
Color gradient dynamically represents prediction strength and market conviction.
Crossovers provide additional confirmation without cluttering your chart.
Professional visualization that rivals institutional-grade analysis tools.
✨ Massively Expanded Dimensionality: 10 Custom Sources, 5 Built-In Sources
Transform the indicator from 5 built-in standard to 15 total total features—triple the analytical power.
Integrate ANY TradingView indicator as a machine learning feature.
Built-in normalization ensures all indicators contribute equally regardless of scale.
Create theme-based systems: pure volume analysis, multi-timeframe momentum, or hybrid approaches.
📊 Tiered Mean Reversion Signals with Scalping Alerts
Regular (🔄) and Strong (⬇️/⬆️) mean reversion signals based on statistical extremes.
Opportunities often arise before candle close—perfect for scalping entries.
Visual markers appear at high-probability reversal zones.
Four specialized alert types: upward/downward for both regular and strong reversals.
Pre-optimized probability thresholds, no fine-tuning required.
📅 Daily Kernel Trend Filter
Instantly cleans up noisy intraday charts by aligning with higher timeframe trends.
Swing traders report immediate signal quality improvement.
Automatically deactivates on daily+ timeframes (intelligent context awareness).
Reduces counter-trend signals by up to 60% on lower timeframes.
Simple toggle—no complex multi-timeframe setup required.
📋 Professional Backtesting Stream (-6 to +6)
Multiple distinct signal types (including pullbacks, mean reversions, and kernel deviations) vs. basic binary (buy/sell) output for nuanced analysis.
Enables detailed walk-forward analysis and ML model training.
Compatible with external backtesting frameworks via numeric stream.
Rare precision for TradingView indicators—usually only found in institutional tools.
Perfect for quants building sophisticated strategy layers.
⚡ Performance Optimizations
Faster distance calculations through algorithmic improvements.
Reduced indicator load time (measured via Pine Profiler).
Handles 15 active features without timeouts—critical for multi-chart setups.
Optimized for live auto-trading bots requiring minimal latency.
🎨 Full Visual Customization & Accessibility
Complete color control for all visual elements.
Colorblind-safe default palette with customization options.
Dark mode optimization for extended trading sessions.
Professional appearance matching your trading workspace.
Accessibility features meeting modern UI standards.
🛠️ Advanced Training Modes
Downsampling mode for training on diverse market conditions; Down-sampling and remote-fractals for exotic pattern discovery.
Remote fractals option extends analysis to deep historical patterns.
Reset factor control for fine-tuning neighbor diversity; Reset-factor tuning to control neighbor diversity.
Appeals to systematic traders exploring exotic data approaches.
Prevents temporal clustering bias in model training.
█ HOW TO USE
Understanding the Approach (Core Concept):
Lorentzian Classification uses a k-Nearest Neighbors (k-NN) algorithm. It searches for historical price action "neighborhoods" similar to the current market state. Instead of a simple straight-line (Euclidean) distance, it primarily uses a Lorentzian distance metric, which can account for market "warping" or distortions often seen during high volatility or significant events. Each historical neighbor "votes" on what happened next in its context, and these votes aggregate into a classification score for the current bar.
Interpreting Bar Scores & Signals (Interpreting the Chart):
Bar Prediction Values: Numbers over each candle (e.g., ranging from -8 to +8 if Neighbors Count is 8) represent the aggregated vote from the nearest neighbors. Strong positive scores (e.g., +7, +8) indicate a strong bullish consensus among historical analogs. Strong negative scores (e.g., -7, -8) indicate a strong bearish consensus. Scores near zero suggest neutrality or conflicting signals from neighbors. The intensity of bar colors (if Use Confidence Gradient is on) often reflects these scores.
Main Arrows (Main Buy/Sell Labels): Large ▲/▼ labels are the primary entry signals generated when the overall classification (after filters) is bullish or bearish.
Pullback Triangles: Small green/red ▲/▼ identify potential trend continuation entries. These signals often appear after an initial price move and a subsequent minor retracement, suggesting the trend might resume. This is based on recognizing patterns where a brief counter-movement is followed by a continued advance in the initial trend direction.
Mean-Reversion Symbols: 🔄 (Regular Reversion) appears when price has crossed the average band of the Dynamic Kernel Regression Envelope. ⬇️/⬆️ (Strong Reversion) means price has crossed the far band of the envelope, indicating a more extreme deviation and potentially a stronger reversion opportunity.
Custom Mean Reversion Deviation Markers (Deviation Dots): If Enable Custom Mean Reversion Alerts is on, these dots appear when price deviates from the main kernel regression line by a user-defined ATR multiple, signaling a custom-defined reversion opportunity.
Kernel Regression Lines & Envelope: The Main Kernel Estimate (thicker line) is an adaptive moving average that smooths price and helps identify trend direction. Its color indicates the current trend bias. The Envelope (outer bands and a midline) creates a channel around price, and its interaction with price generates mean reversion signals.
Key Input Groups & Their Purpose:
🔧 GENERAL SETTINGS:
Reduce Price-Time Warping : Toggles the distance metric. When enabled, it reduces the characteristic "warping" effect of the default Lorentzian metric, making the distance calculation more Euclidean in nature. This may be suited for periods exhibiting less pronounced price-time distortions.
Source : Price data for calculations (default: close ).
Neighbors Count : The 'k' in k-NN – number of historical analogs considered.
Max Bars Back : How far back the indicator looks for historical patterns.
Show Exits / Use Dynamic Exits : Controls visibility and logic for exit signals.
Include Full History (Use Remote Fractals) : Allows model to pick "exotic" fractals from deep chart history.
Use Downsampling / Reset Factor : Advanced training parameters affecting neighbor selection.
Show Trade Stats / Use Worst Case Estimates : Displays a real-time performance table (for calibration only).
🎛️ DEFINE CUSTOM SOURCES (OPTIONAL):
Integrate up to 10 external data series (e.g., from other indicators) as features. Each can be optionally normalized. Load the external indicator on your chart first for it to appear in the dropdown.
🧠 FEATURE ENGINEERING:
Configure up to 15 features for the k-NN algorithm. Select type (RSI, WT, CCI, ADX, Custom Sources), parameters, and enable/disable. Start simple (3-5 features) and add complexity gradually. Normalize features with vastly different scales.
🖥️ DISPLAY SETTINGS:
Controls visibility of chart elements: bar colors, prediction values/labels, envelope, etc.
Align Signal with Current Bar : If true, pullback signals appear on the current bar (calculated on closed data). If false (default), they appear on the next bar.
Use ATR Offset : Positions bar prediction values using ATR for visibility.
🧮 FILTERS SETTINGS:
Refine raw classification signals: Volatility, Regime, ADX, EMA/SMA, and Daily Kernel filters.
🌀 KERNEL SETTINGS (Main Kernel):
Adjust parameters for the primary Nadaraya-Watson Kernel Regression line. Lookback Window , Relative Weighting , Regression Level , Lag control sensitivity and smoothness.
✉️ ENVELOPE SETTINGS (for Mean Reversion):
Configure the dynamic Kernel Regression Envelope. ATR Length , Near/Far ATR Factor define band width.
🎨 COLOR SETTINGS (Colors):
Customize colors for all visual elements; override every palette element.
General Approach to Using the Indicator (Suggested Workflow):
Load defaults and observe behavior: Familiarize yourself with the indicator's behavior.
Feature Engineering: Experiment with features, considering momentum, trend, and volatility. Add/replace features gradually.
Apply Filters: Refine signals according to your trading style.
Contextualize: Use kernels and envelope to understand broader trend and potential overbought/oversold areas.
Observe Signals: Pay attention to the interplay of main signals, pullbacks, and mean reversions. Watch interplay of main, pullback & mean-reversion signals.
Calibrate (Not Backtest): Use the "Trade Stats" table for real-time feedback on current settings. This is for calibration, *not a substitute for rigorous backtesting.*
Iterate & refine: Adjust settings, observe outcomes, and refine your approach.
█ ACKNOWLEDGMENTS
This premium version wouldn't exist without the invaluable contributions of:
veryfid for his groundbreaking ideas on unifying pullback detection with Lorentzian Classification, but most of all for always believing in and encouraging me and so many others. For being a mentor and, most importantly, a friend. We all miss you.
RikkiTavi for his help in creating the settings optimization framework and for other invaluable theoretical discussions.
The 1,000+ beta testers worldwide who provided continuous feedback over two years.
The Python porting team who created the foundation for advanced optimization; for the cross-language clone.
The broader TradingView community for making this one of the platform's most popular indicators.
█ FUTURE DEVELOPMENT
The Premium version will continue to evolve based on community feedback. Planned enhancements include:
Specialized exit model trained independently from entry signals (ML-based exit model).
Feature hub with pre-normalized, commonly requested indicators (Pre-normalized feature hub).
Better risk-management options (Enhanced risk-management options).
Fully automated settings optimization (Auto-settings optimization tool).
Parabolic-Fibonacci MA ForecastThis indicator displays a series of projected price levels based on Fibonacci moving averages. For each selected Fibonacci period, it calculates a simple moving average (SMA) and mirrors the distance from the current price to that SMA in the opposite direction, creating a vertical forecast distance. These forecast distances are drawn forward into the future using geometric spacing (squared increments: 1², 2², 3², etc.), creating a fan-like or polyline visual structure.
Users can choose between three display modes:
Fan: Lines drawn from the current price to projected values at increasing intervals
Polyline: Forecast points connected to form a jagged projection path
Both: Displays both fan and polyline structures simultaneously
Options are provided to adjust the number of Fibonacci lines (up to 12), line width, and colors for lines above/below price or up/down slope.
This tool can help visualize directional price tendencies using multiple SMA-based forecasts in a spatially meaningful layout.
Linear Regression ForecastDescription:
This indicator computes a series of simple linear regressions anchored at the current bar, using look-back windows from 2 bars up to the user-defined maximum. Each regression line is projected forward by the same number of bars as its look-back, producing a family of forecast endpoints. These endpoints are then connected into a continuous polyline: ascending segments are drawn in green, and descending segments in red.
Inputs:
maxLength – Maximum number of bars to include in the longest regression (minimum 2)
priceSource – Price series used for regression (for example, close, open, high, low)
lineWidth – Width of each line segment
Calculation:
For each window size N (from 2 to maxLength):
• Compute least-squares slope and intercept over the N most recent bars (with bar 0 = current bar, bar 1 = one bar ago, etc.).
• Project the regression line to bar_index + N to obtain the forecast price.
Collected forecast points are sorted by projection horizon and then joined:
• First segment: current bar’s price → first forecast point
• Subsequent segments: each forecast point → next forecast point
Segment colors reflect slope direction: green for non-negative, red for negative.
Usage:
Apply this overlay to any price chart. Adjust maxLength to control the depth and reach of the forecast fan. Observe how shorter windows produce nearer-term, more reactive projections, while longer windows yield smoother, more conservative forecasts. Use the colored segments to gauge the overall bias of the fan at each step.
Limitations:
This tool is for informational and educational purposes only. It relies on linear regression assumptions and past price behavior; it does not guarantee future performance. Users should combine it with other technical or fundamental analyses and risk management practices.
Range Progress TrackerRANGE PROGRESS TRACKER(RPT)
PURPOSE
This indicator helps traders visually and statistically understand how much of the typical price range (measured by ATR) has already been covered in the current period (Daily, Weekly, or Monthly). It includes key features to assist in trend exhaustion analysis, reversal spotting, and smart alerting.
CORE LOGIC
The indicator calculates the current range of the selected time frame (e.g., Daily), which is:
Current Range = High - Low
This is then compared to the ATR (Average True Range) of the same time frame, which represents the average price movement range over a defined period (default is 14).
The comparison is expressed as a percentage, calculated with this formula:
Range % = (Current Range / ATR) × 100
This percentage shows how much of the “average expected move” has already occurred.
WHY IT MATTERS
When the current range approaches or exceeds 100% of ATR, it means the price has already moved as much as it typically does in a full session.
This indicates a lower probability of continuing the trend with a new high or low, especially when the price is already near the session's high or low.
This setup can signal:
A possible consolidation phase
A reversal in trend
The market entering a corrective phase
SMART ALERTS
The indicator can alert you when:
A new high is made after the range percentage exceeds your set threshold.
A new low is made after the range percentage exceeds your set threshold.
You can adjust the Range % Alert Threshold in the settings to tailor it to your trading style.
