Commit Graph
4 Commits
Author SHA1 Message Date
Brent NealeandClaude Opus 4.6 4e2db68049 Add Railway deployment config for 24/7 cloud paper trading
- Dockerfile: add templates copy, ENV PORT, update CMD to live engine
- Create src/live/health.py: threaded HTTP health server (/health, /state)
- Wire health server into src/live/run.py before engine loop
- Dashboard: add unauthenticated /health endpoint, use PORT env var
- Create railway.toml with Dockerfile builder and health check config
- docker-compose.yml: rename service to live-engine, add PORT env vars

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-19 15:53:54 +10:00
Brent NealeandClaude Opus 4.6 dce54845c2 Phase 1: Event-driven backtester, 5 strategies, and baseline results
- Built event-driven backtesting engine with spread/slippage modeling,
  3-TP partial closes, trailing stops, and rich trade logging (20+ features)
- Implemented 5 strategy signal generators (MA Breakout, VWAP Reversal,
  Key Level Breakout, EMA Ribbon Scalp, Momentum Exhaustion)
- Full indicator library (EMA, SMA, RSI, ATR, MACD, ADX, Stochastic,
  Session VWAP bands, swing points, key levels, RSI divergence)
- Data pipeline: Dukascopy download, validation, 70/30 train/test split
- Baseline results: all 5 strategies generate 200+ trades on training data
  (Jan 2021 - Aug 2023), best profit factors 0.82-0.96 on select pairs
- Trade logs and reports saved for Phase 3 ML feature engineering

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-18 06:04:40 +10:00
Brent NealeandClaude Opus 4.6 311881afa8 Update README with economic calendar docs and pending TE API key status
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 20:15:57 +10:00
Brent NealeandClaude Opus 4.6 546d7311ec Add economic calendar module to filter trades near high-impact events
Introduces a full Trading Economics API pipeline that fetches, stores, and
queries economic events (NFP, CPI, rate decisions, etc.) so the backtester
can block trade entries within a configurable buffer window of high-impact
releases — reducing slippage and false signals.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 20:00:28 +10:00