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In the previous article, I explained how I organize my StrategyQuant builds, how I filter large groups of generated strategies, and how I identify combinations

Knowing When a Trading System Is Healthy, Degrading, or Already Dead Introduction: Why Profitable Systems Still Fail Most trading systems do not die suddenly. They

In the previous article, I explained the broader idea behind how I generate and sort trading algorithms. The main principle is simple: I do not

Introduction: Why Backtests Fail Traders Most trading strategies do not fail because their logic is flawed. They fail because their evaluation process is structurally naïve. Backtests

How I Generate and Sort Trading Algorithms: An Introduction to the Process Most traders start with a market and try to force a strategy onto

I’ve traded since 2015 — Forex first, then equity indices, and gradually I replaced isolated ideas with testable algorithms, portfolio construction and live monitoring. This

A trading system isn't a signal you discover — it's an architecture you assemble from parts. Change the question from "when do I buy?" to

Market Structure Without Time Noise Introduction: Why Time Became a Problem Modern market analysis is dominated by time-based representations. Candles, bars, and indicators assume that

A new market is only worth adding if it does something the markets you already trade don't — and if it survives realistic costs once

Why Patterns Exist, Repeat, and Eventually Fail Introduction: Patterns Are Not Shapes Swing-trading patterns are often treated as visual shortcuts — recognizable shapes that promise