Commit Graph
3 Commits
Author SHA1 Message Date
momentum devandClaude Opus 4.8 c7bfb3512a Self-tuning loop: per-setup report + nightly re-sweep + live learned-params
(a) learn_params.per_setup_report: permanent per-setup P&L/earliness breakdown
    in the harness (forces all-setups so the ORB-vs-rest comparison is visible).
(b) nightly_tune.py + nightly_tune.sh: backfill latest bars, sweep ORB params
    over accumulated gapper sessions, write the best PROFITABLE config to
    data/learned_params.json. run_live_paper reads it on boot and applies the
    tuned ready_score / min_bars (explicit env still wins); won't overwrite with
    a losing or thin-sample config. Cron-scheduled after the close.

Verified: 75/75 tests; boot logs the learned params and applies them.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-16 22:45:03 -04:00
momentum devandClaude Opus 4.8 92985938e1 Strategy: ORB-first + STRATEGY_SETUPS config; harness gapper filter + per-setup attribution
Sweep over 172 real gapper sessions (16 days) with a per-setup breakdown found
the opening-range breakout is the ONLY profitable setup (+0.25R); every slow
pattern loses (bull_flag -$78k @ ~42min is the worst). Running ORB-ONLY flips
the book from -$95k to +$7.4k AND enters ~11 min earlier (23 vs 34 min avg).

- classify_setup prefers the ORB when valid and honors STRATEGY_SETUPS env
  (comma-sep setup values) to restrict active setups; .env defaults to
  STRATEGY_SETUPS=opening_range_break (ORB-only).
- BacktestEngine Trade.setup_type captured for per-setup attribution.
- learn_params load_sessions filters to gapper sessions (mimics live scanner) so
  the backtest trades the same universe the system would.

75/75 tests green.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-16 18:44:03 -04:00
momentum devandClaude Opus 4.8 9677c79db4 Learning harness + tunable timing knobs (diagnose 'always late')
- learn_params.py: grid-search the strategy timing/threshold knobs over stored
  sessions, ranking by total P&L AND 'entry_min' (minutes after the open the
  entry fires) — a learning method to find params that enter earlier while
  staying green.
- evaluate_setup(min_bars=...) + BacktestEngine(ready_score_pct/criteria/min_bars)
  now tunable; watcher passes WATCHER_MIN_BARS through (was a no-op: evaluator
  hard-coded 10).

Sweep finding: even the earliest params enter ~28-30 min after the open
(baseline ~33) because the first-pullback setup waits for a pullback to FORM.
Cadence/min_bars are not the bottleneck — the setup design is. Genuine earliness
needs a fast opening-breakout trigger + more historical sessions to learn from.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-16 17:07:08 -04:00