Discussing the article: "A Team of AI Agents with Profit-Based Rotation: The Evolution of a Living Trading System in MQL5"

 

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Financial management as an ecosystem: Seven AI traders with different personalities and strategies instead of a single algorithm. They compete for capital, learn from their mistakes, and make decisions collectively. The article explains the principles behind the Modern RL Trader system, in which the code possesses consciousness and emotions, creating a living, evolving trading mind.

Imagine a council of seven virtuoso traders locked inside a server somewhere in a data center. One of them is a cautious strategist focused on long-term trends; another is a thrill-seeking scalper who lives on one-minute candles; the third is a paranoid analyst who sees risk in every bout of volatility. They do not just execute code; they debate, doubt, learn from their mistakes, brag about their successes, and make decisions collectively, allocating capital according to the principle of natural selection: profitable strategies receive more funds, while losing ones are sidelined.

This is not the script for a new TV series about AI. This is reality, embodied in thousands of lines of code called Modern RL Trader v3.1.

But what is most striking is not their number, but their inner world. Each of these agents possesses the rudiments of what might be called artificial consciousness. They have “thoughts” that they generate as they reason. They experience an "emotional state" — a surge of confidence after a string of profitable trades or a wave of fear after a series of losses. They engage in an “internal dialogue” and accumulate “wisdom” by analyzing their past experience.


Author: Yevgeniy Koshtenko