3 Commits

Author	SHA1	Message	Date
joungmin	0b264b304c	feat: add backtest module with DB cache and scenario comparison ... Backtest improvements: - Add backtest.py with Oracle DB-backed OHLCV cache (no repeated API calls) - Add backtest_trades table to cache simulation results by params hash (same params -> instant load, skip re-simulation) - Add walk-forward scenario comparison (--walkforward-cmp) - Add trend ceiling filter (--trend-cmp, max gain threshold) - Add ticker win-rate filter (--ticker-cmp, SQL-based instant analysis) - Precompute daily_features once per data load (not per scenario) Live bot fixes: - monitor: add hard stop-loss from buy price (in addition to trailing) - strategy: fix re-entry condition to require +1% above last sell price - price_collector: add 48h backfill on startup for trend calculation - main: call backfill_prices() at startup Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-02-28 23:28:27 +09:00
joungmin	80ab004eba	feat: replace volatility breakout with DB-backed real-time trend check ... - price_history table on Oracle ADB stores prices every 10 minutes - check_trend(): current price vs N hours ago (default 1h, +3% threshold) - check_momentum(): unchanged (MA20 + 2x volume still applies) - Ticker list cached 5 minutes to avoid 429 rate limits - Collector starts 30s after boot to avoid simultaneous API calls - Configurable: TREND_HOURS, TREND_MIN_GAIN_PCT in .env Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-02-28 11:26:26 +09:00
joungmin	83bd51117f	feat: initial upbit auto-trader implementation ... Strategy C: volatility breakout (Larry Williams K=0.5) AND momentum (MA20 + 2x volume surge) must both trigger for a buy signal. Hard rules: - Trailing stop: sell when price drops -10% from peak - Max budget: 1,000,000 KRW total, up to 3 positions (333,333 KRW each) - Scan top 20 KRW tickers by 24h trading volume every 60s - Monitor positions every 10s Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-02-28 10:20:02 +09:00