21in7 f488720ca2 fix: MTF bot code review — conditional slicing, caching, tests ...

- Add _remove_incomplete_candle() for timestamp-based conditional
  slicing on both 15m and 1h data (replaces hardcoded [:-1])
- Add MetaFilter indicator caching to eliminate 3x duplicate calc
- Fix notifier encapsulation (_send → notify_info public API)
- Remove DataFetcher.poll_update() dead code
- Fix evaluate_oos.py symbol typo (xrpusdtusdt → xrpusdt)
- Add 20 pytest unit tests for MetaFilter, TriggerStrategy,
  ExecutionManager, and _remove_incomplete_candle

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-31 11:11:26 +09:00

..

__init__.py

feat: implement ML filter with LightGBM for trading signal validation

2026-03-01 17:07:18 +09:00

collect_ls_ratio_loop.sh

feat: add L/S ratio collector service for top_acct and global ratios

2026-03-22 22:20:30 +09:00

collect_ls_ratio.py

feat: add L/S ratio collector service for top_acct and global ratios

2026-03-22 22:20:30 +09:00

collect_oi.py

feat: add OI long-term collection script for cron-based data accumulation

2026-03-04 20:24:14 +09:00

compare_symbols.py

feat: add symbol comparison and position sizing analysis tools

2026-03-18 23:35:42 +09:00

deploy_model.sh

feat: add --symbol/--all CLI to all training scripts for per-symbol pipeline

2026-03-05 23:21:32 +09:00

evaluate_oos.py

fix: MTF bot code review — conditional slicing, caching, tests

2026-03-31 11:11:26 +09:00

fetch_history.py

fix: add retry with exponential backoff to OI/funding API calls (#4)

2026-03-07 16:00:52 +09:00

mtf_backtest.py

feat: add MTF pullback bot for OOS dry-run verification

2026-03-30 15:58:40 +09:00

position_sizing_analysis.py

feat: add symbol comparison and position sizing analysis tools

2026-03-18 23:35:42 +09:00

profile_training.py

feat: remove in-container retraining, training is now mac-only

2026-03-01 18:54:00 +09:00

run_backtest.py

feat: add testnet mode support and fix UDS order type classification

2026-03-23 13:05:38 +09:00

run_optuna.sh

feat: add run_optuna.sh wrapper script for Optuna tuning

2026-03-02 14:50:50 +09:00

run_tests.sh

feat: implement HOLD negative sampling and stratified undersampling in ML pipeline

2026-03-03 00:13:42 +09:00

strategy_sweep.py

feat: strategy parameter sweep and production param optimization

2026-03-06 23:39:43 +09:00

taker_ratio_analysis.py

feat: add L/S ratio collector service for top_acct and global ratios

2026-03-22 22:20:30 +09:00

test_reverse_reenter.sh

feat: implement immediate re-entry after closing position on reverse signal

2026-03-02 01:34:36 +09:00

train_and_deploy.sh

feat: enhance data handling and model training features

2026-03-05 23:57:44 +09:00

train_mlx_model.py

feat(ml): add purged gap (embargo=24) to walk-forward + ablation CLI

2026-03-21 19:42:51 +09:00

train_model.py

feat(ml): add purged gap (embargo=24) to walk-forward + ablation CLI

2026-03-21 19:42:51 +09:00

tune_hyperparams.py

feat(ml): add purged gap (embargo=24) to walk-forward + ablation CLI

2026-03-21 19:42:51 +09:00

verify_prod_api.py

feat: add algo order compatibility and orphan order cleanup

2026-03-23 20:46:59 +09:00

weekly_report.py

fix: update weekly report to XRP-only with production params

2026-03-22 22:30:39 +09:00