From TradersList Editors
From TradersList Editors
Enhance your data analysis and prediction accuracy by leveraging Lorentzian Distance in this advanced machine learning indicator.
Enhance your data analysis and prediction accuracy by leveraging Lorentzian Distance in this advanced machine learning indicator.
Machine Learning Lorentzian Classification Indicator for TradingView: Advanced Pattern Recognition Using Lorentzian Distance
Machine Learning Lorentzian Classification Indicator for TradingView: Advanced Pattern Recognition Using Lorentzian Distance

by jdehorty on TradingView

by jdehorty on TradingView
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Machine Learning: Lorentzian Classification
Machine Learning: Lorentzian Classification
Machine Learning: Lorentzian Classification is an Indicator that uses the Lorentzian Distance Classifier machine learning algorithm to categorize historical price data for predicting future price movements.
Machine Learning: Lorentzian Classification is an Indicator that uses the Lorentzian Distance Classifier machine learning algorithm to categorize historical price data for predicting future price movements.

Get on TradingView
This indicator is available on TradingView web charting platform. Signing up for a free account is required, no downloads.

Get on TradingView
This indicator is available on TradingView web charting platform. Signing up for a free account is required, no downloads.
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Open Source
Listing has publically available source code that can be audited and modified as needed.
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Open Source
Listing has publically available source code that can be audited and modified as needed.
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Free Access
All features of this listing are fully free to use with no pricing tiers. Simply start using.
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Free Access
All features of this listing are fully free to use with no pricing tiers. Simply start using.
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Trusted Publisher
Publisher of this listing is well recognized in social channels and receives overwhelmingly positive feedback.
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Trusted Publisher
Publisher of this listing is well recognized in social channels and receives overwhelmingly positive feedback.
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Robust Theory
Concepts and theories mentioned in listing are based on generally approved and well established notions.
✅
Robust Theory
Concepts and theories mentioned in listing are based on generally approved and well established notions.
Published by jdehorty on TradingView
Published by jdehorty on TradingView
Why Lorentzian Distance Over Euclidean
Most algorithms measure similarity between data points using Euclidean distance - basically a straight line between two points. This works fine for stable data, but markets aren't stable. They spike and crash around big events like rate decisions or earnings surprises.
Lorentzian distance handles these spikes better. It finds past price reactions that look similar to the current setup - even if they happened in completely different market conditions. For example, price action after a Fed speech today likely resembles past post-speech moves, and Lorentzian distance catches that connection where Euclidean would miss it.
Why Lorentzian Distance Over Euclidean
Most algorithms measure similarity between data points using Euclidean distance - basically a straight line between two points. This works fine for stable data, but markets aren't stable. They spike and crash around big events like rate decisions or earnings surprises.
Lorentzian distance handles these spikes better. It finds past price reactions that look similar to the current setup - even if they happened in completely different market conditions. For example, price action after a Fed speech today likely resembles past post-speech moves, and Lorentzian distance catches that connection where Euclidean would miss it.
How the Classification Works
The indicator looks at current market conditions using features like RSI, CCI, and ADX. It then searches history for the closest matching setups using Lorentzian distance and checks what happened next. If most similar past setups led to a rally, it signals bullish - and vice versa.
Built-in filters for volatility and trend strength help cut out bad signals. A kernel regression layer smooths the output into a cleaner trend line. The result is a practical tool that combines machine learning with traditional technical filters to flag probable direction.
How the Classification Works
The indicator looks at current market conditions using features like RSI, CCI, and ADX. It then searches history for the closest matching setups using Lorentzian distance and checks what happened next. If most similar past setups led to a rally, it signals bullish - and vice versa.
Built-in filters for volatility and trend strength help cut out bad signals. A kernel regression layer smooths the output into a cleaner trend line. The result is a practical tool that combines machine learning with traditional technical filters to flag probable direction.
Machine Learning based insights
Machine Learning based insights
This indicator applies machine learning through Lorentzian distance to find historically similar price setups. By comparing current conditions against past patterns that led to rallies or drops, traders can gauge probable direction with a statistical foundation.
This indicator applies machine learning through Lorentzian distance to find historically similar price setups. By comparing current conditions against past patterns that led to rallies or drops, traders can gauge probable direction with a statistical foundation.
Gain confluence from a statistical edge
Use the classification signals alongside your existing strategy. When the indicator agrees with your setup, the historical probability adds weight to your conviction.
Refine settings using backtest data
Adjust feature inputs like RSI and CCI periods while reviewing how classification accuracy changes. The built-in filters help dial in what works for your market.
Simplify trend analysis
The kernel regression smooths noisy signals into a cleaner trend line. Focus on direction without getting caught in minor fluctuations.
Common Questions About Lorentzian Classification
Common Questions About Lorentzian Classification
Traders exploring machine learning indicators often ask about setup, signals and practical use. Below are answers to the most frequent questions about how Lorentzian Classification works and how to apply it effectively.
Traders exploring machine learning indicators often ask about setup, signals and practical use. Below are answers to the most frequent questions about how Lorentzian Classification works and how to apply it effectively.
Does the Lorentzian Classification indicator repaint signals?
Once a bar closes, the indicator does not repaint. Signals may shift while a candle is still forming, so waiting for bar close before acting is the recommended approach.
What timeframe works best for Lorentzian Classification?
The default feature setup tends to perform well on 4-hour to 12-hour charts. Faster timeframes can work but may require tweaking the neighbor count and enabling additional filters to reduce noise.
How do I reduce false signals in choppy markets?
Enable the built-in volatility and regime filters. Pairing signals with a trend filter like a 200 EMA also helps confirm entries during ranging conditions.
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Web sentiment
Web sentiment
Traders online feel positive about the indicator, valuing its effectiveness and features, despite minor optimization concerns in volatile markets.
Traders online feel positive about the indicator, valuing its effectiveness and features, despite minor optimization concerns in volatile markets.
Source: Online Discussion
Source: Online Discussion
Source: Online Discussion
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TradersList Reviews (7)
TradersList Reviews (7)
TradersList Community has given this listing five stars, indicating great trust, extraordinary utility value and benefit for traders' toolkit. This listing is among the top ones on TradersList.
TradersList Community has given this listing five stars, indicating great trust, extraordinary utility value and benefit for traders' toolkit. This listing is among the top ones on TradersList.
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Source: TradersList Reviews
Source: TradersList Reviews

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🌐
✅
Day/Week/Month Metrics (Zeiierman) is a TradingView indicator that computes daily, weekly and monthly performance. This indicator displays edge metrics, depicting how often an asset is likely to be bullish or bearish in a given time period.

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by KioseffTrading

Free
TradingView Indicator
Monte Carlo Simulation - Your Strategy [Kioseff Trading]
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🌐
✅
🏅
Monte Carlo Simulation - Your Strategy by Kioseff Trading is a free TradingView indicator that leverages Monte Carlo simulations to analyze the variability and potential outcomes of your inputted trading strategies or the assets displayed on your chart. Calculate your luck factor using this indicator.

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by KioseffTrading

Free
TradingView Indicator
The Next Pivot [Kioseff Trading]
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🌐
🏅
The Next Pivot [Kioseff Trading] is a TradingView indicator that employs similarity measures to compare historical price sequences with current data, formulating potential paths for future price action.

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by KioseffTrading

Free
TradingView Indicator
(Quartile Vol.; Vol. Aggregation; Range US Bars; Gaps) [Kioseff]
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🏅
The (Quartile Vol.; Vol. Aggregation; Range US Bars; Gaps) [Kioseff] Indicator is a TradingView tool that analyzes price action and volume by breaking volume into aggregated quartiles for noise filtered price and volume analysis.
![TradingView chart interface displaying the Seasonality [TFO] statistics indicator panel showing average asset performance across daily, monthly and quarterly timeframes based on a 252-day trading calendar.](https://framerusercontent.com/images/nvPXFfuC5h7lkcLmxaOhlHbStb8.png?width=4098&height=2304)
🤖
by tradeforopp

Free
TradingView Indicator
Seasonality [TFO]
🔑
🌐
✅
🏅
Seasonality [TFO] is a TradingView indicator that analyzes an asset's average performance across daily, monthly, and quarterly timeframes. It uses a 252-trading day calendar, aggregating daily data into 21-day months and 63-day quarters for gauging seasonal trends.

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by KioseffTrading

Free
TradingView Indicator
Crypto Terminal [Kioseff Trading]
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🌐
🏅
Crypto Terminal [Kioseff Trading] is a TradingView indicator that uses on-chain data to provide real-time cryptocurrency statistics directly on your Tradingview charts.

🤖
by toodegrees

Free
TradingView Indicator
Seasonal Open Interest° by toodegrees
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🌐
✅
🏅
Seasonal Open Interest° by toodegrees is a TradingView Indicator that displays the daily number of outstanding futures contracts for specific commodities and markets, based on Open Interest data released after each trading day.
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Disclaimer
Our goal is to achieve greater transparency, guidance and safety in trading and investing by providing means to discover, research and discuss trading/investing related sites/services.
Content provided on this site is not financial advice, meant for educational purposes only. TradersList does not endorse or guarantee any result for listed sites/services. Do your own research.
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Disclaimer
Our goal is to achieve greater transparency, guidance and safety in trading and investing by providing means to discover, research and discuss trading/investing related sites/services.
Content provided on this site is not financial advice, meant for educational purposes only. TradersList does not endorse or guarantee any result for listed sites/services. Do your own research.
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