From TradersList Editors

From TradersList Editors

Leverage historical data with machine learning to forecast closing prices and estimate errors, ensuring standardized, accurate predictions.

Leverage historical data with machine learning to forecast closing prices and estimate errors, ensuring standardized, accurate predictions.

NinjaTrader Indicator

NinjaTrader Indicator

Machine Learning Trends with this free NinjaTrader Indicator

Machine Learning Trends with this free NinjaTrader Indicator

by NinjaTrader_JoshG on NinjaTrader

by NinjaTrader_JoshG on NinjaTrader

by NinjaTrader_JoshG on NinjaTrader

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Indicator

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NinjaTrader

NinjaTrader

Price Action

Price Action

Auto-Regressive Model Indicator

Auto-Regressive Model Indicator

Auto-Regressive Model Indicator is a NinjaTrader indicator that uses historical data and machine learning to forecast closing prices. The algorithm learns relationships between current and past values with a decreasing learning rate for stability, provides error bounds and standardizes predictions by Z-scoring the time series.

Auto-Regressive Model Indicator is a NinjaTrader indicator that uses historical data and machine learning to forecast closing prices. The algorithm learns relationships between current and past values with a decreasing learning rate for stability, provides error bounds and standardizes predictions by Z-scoring the time series.

Get on NinjaTrader

This indicator is available on NinjaTrader charting platform. Signing up for a free account and downloading NinjaTrader software is required.

Get on NinjaTrader

This indicator is available on NinjaTrader charting platform. Signing up for a free account and downloading NinjaTrader software is required.

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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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Popular Topic

Concepts and theories mentioned in listing are popular topics in web search

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Popular Topic

Concepts and theories mentioned in listing are popular topics in web search

Published by NinjaTrader_JoshG on NinjaTrader

Published by NinjaTrader_JoshG on NinjaTrader

Featured Dec 6, 2024

Featured Dec 6, 2024

Predicted closes using advanced learning model

Predicted closes using advanced learning model

This NinjaTrader Indicator uses historical data and machine learning to forecast closing prices by learning and adjusting relationships between current and past values. Let's take a look at several ways to incorporate the Auto-Regressive Model Indicator into your market analysis.

This NinjaTrader Indicator uses historical data and machine learning to forecast closing prices by learning and adjusting relationships between current and past values. Let's take a look at several ways to incorporate the Auto-Regressive Model Indicator into your market analysis.

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1

Get confluence from statistical edge

Get confluence from statistical edge

2

2

Identify potential key levels

Identify potential key levels

3

3

Spot potential trade targets

Spot potential trade targets

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Traders are undecided

Traders are undecided

Traders on the web seem curious about the Auto-Regressive Model Indicator, as shown by its download numbers, but overall sentiment remains unclear due to a lack of explicit user feedback.

Traders on the web seem curious about the Auto-Regressive Model Indicator, as shown by its download numbers, but overall sentiment remains unclear due to a lack of explicit user feedback.

Source: Online Discussion

Source: Online Discussion

Source: Online Discussion

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Listing by third party publisher. Not financial advice.

Listing by third party publisher. Not financial advice.

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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.

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