Developer builds private ML research platform for market data analysis

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Yones Alizai, a computer scientist and software developer, has built QuantzAI, a private machine learning research platform focused on financial market data. The project covers a broad technical scope including feature engineering, ML model training, time-based validation, backtesting, risk management, and paper trading. Alizai emphasizes realistic model evaluation, noting that strong classification metrics alone are insufficient if a model fails on future data or ignores real-world trading costs. The platform also includes a desktop GUI, monitoring tools, and automated testing. While the source code and strategy logic remain private, Alizai is publicly sharing the general architecture, technology stack, and selected demonstrations.

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