6 Commits (4b8a157a673d2c421852eadd2187ab95bf33a091)

Author SHA1 Message Date
I Luk Kim 4b8a157a67 Promote V24 ORB Gainers: add OBV-slope(20d) accumulation quality weight
Phase 1 diagnostic (diag_orb_quality_features.py) on V23 200d trade set found
obv_slope_20 passes all edge gates: Pearson=+0.2349 with r_multiple, top-tercile
WR 75% vs bottom 59.4% (+15.6pp), avg_R gap +0.394R. Hurst_60 and OU-θ_60 failed.

Weight sweep: 0.05 is Pareto-dominant (0.10/0.15 blow DD).

200d (same window): V24 +94.8% DD-11.3% Sharpe 2.83 vs V23 +85.0% DD-11.6% Sharpe 2.66
400d (same window): V24 +162.1% DD-13.7% Sharpe 2.47 vs V23 +149.4% DD-13.7% Sharpe 2.36
V24 Pareto-dominates V23 on both windows. V23 marked superseded.

Code changes:
- libs/intraday/features.py: add compute_obv_slope_approx() + enrich_daily_bars field
- libs/intraday/domain.py: add weight_obv_slope field to ORBStrategyParams
- libs/intraday/orb_simulator.py: wire obv_slope_20 read/store/score in gainers_leader branch
- configs: orb_gainers_v24_quality_overlay.yaml (new champion, live_readiness: experimental)
- configs: orb_gainers_v23.yaml status → superseded

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
4 months ago
I Luk Kim 9e622c6614 Investigate compound mode: V23 is absolute champion in all modes
- V23 pure compound (live-equivalent): 200d +148.13% DD-14.23%, 400d +209.41% DD-17.35%
- Hybrid V2 compound tested: 200d +175.41% looks promising but 400d +181.71% DD-23.72%
  loses to V23 by -27.7pp return AND -6.4pp worse DD → rejected
- Safe v9 compound 400d: +128.49% DD-14.43% — better DD but -81pp return vs V23 → rejected
- V23 tight governor compound 400d: +192.54% DD-17.32% — marginal gain, not worth config
- Live paper trader uses compound mode (engine.py:1816 session_equity = initial_equity + P&L)
- All improvement axes exhausted; V23 daily_reset declared TERMINAL

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
4 months ago
I Luk Kim d7bfda039b Add expanded ORB simulator features and metrics
- orb_simulator.py: min_abs_gap_pct filter, premarket dollar vol filter,
  rolling_loss circuit breaker, drawdown_governor, streak_sizing,
  trailing_tighten_at_r, allow_doji/red_to_green breakout, abs_gap scoring
  for gainers_leader, ORBSimulationState, run_orb_simulation_with_state API
- metrics.py: loss_containment_score and related metrics
- features.py: enrich_daily_bars with gap_zscore, ATR ratio, range compression
- domain.py: extended ORBStrategyParams with new fields
- cache.py: DailyBarCache with merged parquet storage and coverage metadata
- simulator.py: base simulator updates for new entry/exit mechanics
- configs/intraday: updated orb_gainers_v23.yaml with canonical params
- Added BLD to midlarge symbol snapshot

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
4 months ago
I Luk Kim 8f0f99bdda Fix daily bar rebuild to use market-hours close; clean ORB simulator debug code
Two fixes:
1. _rebuild_daily_from_intraday_cache now filters to regular market hours
   (9:30–16:00 ET) before computing OHLCV. Previously used bars[-1] which
   included after-hours data, distorting prev_close for gap calculations.
   Root cause of V23 regression: HIMS Aug-4 after-hours drop to $54.81
   made it appear as a +0.89% gap on Aug 5 instead of the correct -12.85%
   gap (from $63.45 market close), causing it to fail min_abs_gap_pct filter.
   V23 with fix: +109.32%, WR 58.1%, Sharpe 3.01, DD -12.91%

2. Remove temporary debug instrumentation (HIMS/2025-08-05 trace blocks)
   that was left in orb_simulator.py during regression investigation.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
4 months ago
I Luk Kim 86419beeb0 Fix ORB intraday data pipeline and consolidate strategy configs
- screener: switch from non-existent single-ticker endpoint to multi-ticker
  /alpaca/intraday batch calls (grouped by date, chunk ≤ 75); fixes 0-trades
- cache: bump version 2→3 to invalidate stale IEX Parquet files
- oracle_client: add get_multi_intraday_bars_today() for IEX real-time feed
- paper_trader: use /alpaca/intraday/today for live sessions, /alpaca/intraday
  for historical (SIP)
- intraday.py: define _BUILTIN_STRATEGIES={} to fix /api/orb/strategies import
- delete orb_p1–p10_winner + variant configs; add strategies/orb_default.yaml
  (Phase 10 params) as the single registered web strategy

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
4 months ago
I Luk Kim 564bcba27c Add ORB pre-market screening and fix Oracle/Alpaca reliability bugs
- Add run_pre_screen() at 9:20 ET: fetch daily bars + enrichment + quality filter
  before market open, narrowing universe for faster orb_detect intraday fetch
- run_orb_detection() uses cached pre-screen data when available; falls back to
  full pipeline if pre_screen missed (late start, failure)
- Add _last_trading_day() helper to skip weekends/holidays for bars_end,
  preventing Alpaca 502 on Mondays (today-1 = Sunday was causing failures)
- Fix Oracle client chunk_size 300→75: Alpaca rejects 100+ ticker URL requests
- Add pre_screen event to build_schedule() at 9:20 ET and dispatch in _run_trading()
- run_session_now() runs pre_screen before orb_detect for efficiency
- Add ORB daemon, engine, models, state, screener, and intraday strategy configs
- Add intraday library (libs/intraday/) and web routes for ORB/intraday trading

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
4 months ago