[1.7 million candlesticks] Results after machine learning [with EA diagnostic prompt]

Hello! This is Tejima from GogoJungle.

Inside Trader — Behind the Thinking —is a series where
the developer themselves gives an in-depth explanation of their tools and ideas.

This time, we invitedMr. setowho has over 10 years of trading experience and extensive knowledge of AI.

We delve into the developer’s thinking behind the scenes, covering details that can’t be fully conveyed on the product page, such as the
development background
thinking process
and more.

[AI-Equipped EA] The way AI is utilized was unexpected

How do you use AI in your everyday trading?

There are various ways to use it—fundamental analysis, technical analysis, risk management support, and more—but many of you may still be exploring how to best apply it.

This time, Mr. seto explained his method of using AI as a filtering function to carefully select trades.
AI is built into the EA as a “filter function” and as a function to choose exit strategies that match market conditions.

Machine learning using 1.7 million
candlesticks over the past 23 years

Feature data was labeled for winning/losing trades. In the end, 3,200 carefully selected trades remained.
Enjoy the main video for a thorough explanation of the EA “Mikazuki USDJPY,” which incorporates big data and machine learning on a scale that would be impossible to handle without AI.

Check out the in-depth explanation and the EA diagnostic prompt!

In addition to a thorough explanation of the EA by the developer, Mr. seto,
he also shared “How to Choose an EA (System Trading) Using AI Without Failing [with EA Diagnostic Prompt].”

Be sure to use the prompts in the article as a reference when choosing an EA.

Here is the tool we thoroughly explained