Discussing the article: "Creating and Testing a Council of 15 Models in MetaTrader 5"

 

Check out the new article: Creating and Testing a Council of 15 Models in MetaTrader 5.

The article describes the transition from four-voice debates to the Council of Fifteen: ten analysts, four independent risk managers, and a Chair, with strict voting rules. It examines the roles of the participants, the three-phase architecture, and the parallel execution of a full cycle in 10–15 seconds. It shows the operational log, the risk-gate rules, and backward compatibility so you can quickly connect the system to an Expert Advisor.

The previous article ended with an honest admission: a system of four analysts is a good start, but it is not the end of the conversation. Viktor, Maria, Alexey, and the Arbiter did the main thing: they proved that multiple voices are better than one. But four voices — that is still a small room. In real hedge funds, there are many such rooms, and very different people speak in them.

Imagine the investment committee of a large fund at the moment a decision is being made. It is not just a bull and a bear sitting at the table. There is a quant with three PhDs who only looks at standard deviations and z-scores. There is a market microstructure expert who does not trust any price movement unless it is confirmed by volume. There is a volatility trader who does not care at all where the price is headed — she trades the regime. There is a Japanese candlestick specialist who believes that the body and shadow of the last candlestick reveal more than all the indicators combined. And at a separate table sit four risk managers with different axes of fear: one watches the ATR, the second checks whether the price has moved too far away from the entry point, the third assesses market regime quality, and the fourth looks for signs of a “black swan.”

All these people do not need a single wise Arbiter — they need a Chair who has read all the reports, understood all the contradictions, and made the final decision.

That is exactly what this article describes.


Author: Yevgeniy Koshtenko