daily-signal-composite

To aggregate multiple market signals into a single ETF score, this Skill consolidates six sources like macro signals, news sentiment, and ML predictions into a unified 0–100 composite score per ETF.

Generating buy or sell recommendations for an ETF portfolio involves computing a 0–100 composite score from diverse market signals, which then emits actionable BUY, ACCUMULATE, HOLD, TRIM, or AVOID actions.

Yes, you can weight different signal sources when calculating a composite ETF score because the Skill implements a configurable weighting scheme across its six modular signal inputs.

News sentiment and macro data factor into ETF trading signals by acting as two of the six modular signal sources that the aggregator processes to calculate the final 0–100 composite score.

Yes, the ETF signal composite processes large baskets of assets in parallel, applying scalable parallel processing to compute composite scores across active ETF markets.

The computed ETF composite scores and recommendations are persisted to the market_data.signal_composite table via the MarketDataRepository for dashboard integration and downstream analysis.