Add daily Telegram report + backtest experiment scripts

hotspot precompute 2026-07-22

C31 PASS: SHAP re-pruning drops peer_ret features; add nightly full precompute script

Update full market hotspots cache (2026-07-20) + fix precompute-all LaunchAgent

Wire C30 peer returns into production + add C29 MetaLabel log

Add C30 sector peer return features (PASSED 5-stock and 12-stock)

Merge C19: adaptive triple-barrier labeling into old_wang_dev

Add C19 adaptive triple-barrier labeling (PASSED 5-stock and 12-stock)

Add news sentiment pipeline (C28) and macro factor experiments C24-C27

Merge HF artifact commits; keep login-removal codebase

C20: sector-conditional model — pool semis/financials/ETFs intra-sector

Improve dashboard latency caching

Integrate Old Wang trading strategy overlay

Backup current stock predictor strategies

Promote hotspot recommendation runtime config

Apply optimized factor weight overlay

Update hotspot analysis artifact docs/full_market_hotspots.html

Update hotspot analysis artifact docs/full_market_hotspots.json

Document crontab daily HF sync

Add daily Hugging Face sync automation

Temporarily skip login and add validation config report

feat: integrate local architecture with HF Space

chore: sync md/harness/memory/rule architecture to current state

feat(C12): 1-day horizon; FAILED

feat(C11): full ensemble walk-forward; FAILED — RF already representative of ensemble

feat(C10): asymmetric barrier grid search; FAILED

feat(C9): multi-stock training; FAILED

feat(C8): Optuna RF tuning; FAILED — fixed params already near-optimal

fix(C7): revert calendar features from FEATURE_COLUMNS — up_precision regressed -5.8pp

feat(C7): add calendar/seasonality features + 36m lookback; PASSED

feat(C2): add PTT sentiment scraper and backtest; FAILED — PTT rows=0, features not added to model

feat(C5): SHAP pruning — remove 11 zero-contribution features, +1pp metrics

feat(C6): add HMM regime detection — FAILED (improvement <1.5pp aggregate)

feat(C4): add meta-labeling secondary classifier — PASSED (up_prec 51.7→55.8%)

feat(C3): add triple barrier labels — PASSED (dir_acc 31.4→41.2%, up_prec 43.0→51.7%)

feat(C1): add fracdiff features — FAILED validation, not added to FEATURE_COLUMNS

feat: add research survey scripts + docs/survey outputs for NotebookLM

feat: feature audit + 3-way backtest, update FEATURE_COLUMNS to winner subset

docs: add walk-forward backtest HTML report

feat: add chip_score, MA120/240, margin flow, and TA distillation