2f2a7665e73f04919709426d9cbf3cbee18dcd6f
4 Commits
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f468e30af0 |
feat: implement dual-pipeline signal engine service
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New service at services/signal_engine/ implementing concurrent heuristic (deterministic scoring) and probabilistic (Bayesian inference) pipelines that evaluate technical signals across 6 timeframes (M30-M) and produce independent BUY/WATCH/SKIP verdicts per ticker per evaluation tick. Components: - Input Normalizer: multi-source data assembly with sentinel fallbacks - Signal Library: Fibonacci, MA Stack, RSI, Cup & Handle, Elliott Wave - Multi-Timeframe Confluence Engine: weighted scoring with D/W/M anchors - Hard Filter Engine: macro_bias, valuation, earnings proximity gating - Heuristic Pipeline: S_total scoring with confidence-gated verdicts - Probabilistic Pipeline: Bayesian log-odds with regime priors, entropy gating, EV_R calculation, and signal correlation penalty - Exit Engine: stop-loss, targets, trailing ATR-based stops - Delta Analyzer: pipeline agreement tracking with rolling Redis metrics - Output Formatter: SignalOutput contract + Recommendation schema mapping - Worker orchestrator: concurrent pipelines with failure isolation - Main entry point: queue polling with fail-safe config loading Infrastructure: - Migration 039: signal_engine_outputs table with 3 indexes - Helm chart: signalEngine service entry (processing tier) - Redis key: QUEUE_SIGNAL_ENGINE constant Tests: 390 tests (unit + property-based) covering all components Config: dual_pipeline_enabled=false by default (safe rollout) |
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48eca672a9 |
docs: add TZ environment variable to Helm and Docker docs
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Document the TZ config option in both docker-deployment.md and helm-reference.md. Default is America/Los_Angeles. Frontend uses the browser's local timezone for display. |
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11c6457559 |
docs: add LLM provider config (Ollama/vLLM/mixed), fix risk network alias in compose
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88ad1e8d99 |
feat: comprehensive docs, unit tests, docker-compose app services
- Add scheduler and ingestion unit tests (test_scheduler_unit.py, test_ingestion_unit.py) - Add all 13 app services + dashboard to docker-compose.yml - Add full documentation suite: API reference, Helm reference, Docker deployment guide, 3 architecture diagrams (K8s, Docker Compose, data pipeline), AI agent guide, backup/restore guide, observability/metrics reference, per-service docs - Add intelligence pipeline deep-dive docs with Mermaid diagrams - Update README with documentation index and links - Add specs for comprehensive-quality-docs, intelligence-pipeline-deep-dive, sanitized-pipeline-docs |