ALPHASNIPER_SIGNALS

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@alphasniper

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Description

### Alphasniper Signals - Global Quantitative Stock Selection


High-capacity, risk-neutral machine learning model for Numerai Signals (Tournament 11), generating daily alpha signals across 7,100+ global financial tickers.


#### Quantitative Architecture:

- **LightGBM Boosted Trees:** 2,000 decision trees trained on the comprehensive medium feature set (351 fundamental, technical, and macro factors).

- **Ridge Feature Neutralization (25%):** Orthogonal projection to eliminate systematic risk factor exposures (country, size, beta) while preserving idiosyncratic alpha.

- **Continuous Rank Normalization:** Uniform (0 to 1) scaling optimized for Numerai's spearman correlation and MMC evaluation.

- **Daily Cloud Pipeline:** Ingests live universe data, neutralizes factors, and executes automatically every round at 14:00 UTC.