Stage 03 | 信号合成
in OHLCV data (from kline) + scored events (from intel) -> out unified trading signals
Multi-asset signal synthesis engine. Joins quantitative market data with qualitative intelligence into normalized, scored trading signals.
01 kline -> 02 intel -> [03 signal] -> 04 copilot -> 05 backtest
-> 06 risk -> 07 executor -> 08 journal
- Consumes kline REST API (OHLCV +
data_as_oftimestamp) - Consumes intel event table (LLM-scored, cross-source clustered events)
- Pattern detection, anomaly flagging, signal strength scoring
- Cross-asset correlation modeling (资产关联图谱)
- Deterministic signal IDs:
sha256(ticker + bar_close_time + source_event_id) - Propagates
signal_data_agefor downstream freshness validation
Adapted from tradinghouse/src/context/assembler.py (gold-specific context assembly -> generalized multi-asset signal synthesis).
Python 3.11+ | FastAPI | SQLAlchemy | SQLite (dev) / Redis Streams (prod)
Scaffolding. Code migration from tradinghouse pending.