AnimateDread
5a4b36bb61
Add AFML parts A, B, C and HCC history decoder
...
- Implemented AFML part A for testing the dip-z book against search artifacts, including PBO, DSR, and CPCV metrics.
- Developed AFML part B to generate time and tick bars from M1 broker data, including return distribution statistics.
- Created AFML part C to build a pipeline for dip-z primary analysis, incorporating features and a random forest model for classification.
- Added HCC history decoder to read and process broker M1 `.hcc` files, ensuring proper handling of data structure and integrity.
2026-09-29 20:33:42 -04:00
..
afml_bars.py
Add AFML parts A, B, C and HCC history decoder
2026-09-29 20:33:42 -04:00
afml_meta.py
Add AFML parts A, B, C and HCC history decoder
2026-09-29 20:33:42 -04:00
afml_overfit.py
Add AFML parts A, B, C and HCC history decoder
2026-09-29 20:33:42 -04:00
AFML_PLAN.md
Add AFML parts A, B, C and HCC history decoder
2026-09-29 20:33:42 -04:00
AFML_RESULTS.md
Add AFML parts A, B, C and HCC history decoder
2026-09-29 20:33:42 -04:00
backtest.py
research(dipz): the vol-gated dip-buy on four indices - screens, bear test, reconciliation
2026-09-23 13:24:57 -04:00
claude_exportall.ini
research(dipz): the vol-gated dip-buy on four indices - screens, bear test, reconciliation
2026-09-23 13:24:57 -04:00
combine_charts.py
research(dipz): the vol-gated dip-buy on four indices - screens, bear test, reconciliation
2026-09-23 13:24:57 -04:00
compare_ea.py
feat(warrior): the vol-gated dip-buy book, ported into Warrior_EA
2026-09-23 21:14:53 -04:00
deep_test.py
research(dipz): the vol-gated dip-buy on four indices - screens, bear test, reconciliation
2026-09-23 13:24:57 -04:00
ExportAll.mq5
research(dipz): the vol-gated dip-buy on four indices - screens, bear test, reconciliation
2026-09-23 13:24:57 -04:00
ExportCalendar.mq5
research(dipz): the vol-gated dip-buy on four indices - screens, bear test, reconciliation
2026-09-23 13:24:57 -04:00
fracdiff.py
research(vol): meta-label blueprint, and the premise test that sank the 70% forecast
2026-09-23 13:24:57 -04:00
fx_monthend.py
research(fx): forex and metals - thirteen registered families, nothing passed
2026-09-23 13:24:57 -04:00
FX_PLAN.md
research(fx): forex and metals - thirteen registered families, nothing passed
2026-09-23 13:24:57 -04:00
FX_RESULTS.md
research(fx): forex and metals - thirteen registered families, nothing passed
2026-09-23 13:24:57 -04:00
fx_round2.py
research(fx): forex and metals - thirteen registered families, nothing passed
2026-09-23 13:24:57 -04:00
fx_round3.py
research(fx): forex and metals - thirteen registered families, nothing passed
2026-09-23 13:24:57 -04:00
fx_round4.py
research(fx): forex and metals - thirteen registered families, nothing passed
2026-09-23 13:24:57 -04:00
fx_screen.py
research(fx): forex and metals - thirteen registered families, nothing passed
2026-09-23 13:24:57 -04:00
fx_season.py
research(fx): forex and metals - thirteen registered families, nothing passed
2026-09-23 13:24:57 -04:00
fx_tom.py
research(fx): forex and metals - thirteen registered families, nothing passed
2026-09-23 13:24:57 -04:00
gf_summary.py
research(fx): forex and metals - thirteen registered families, nothing passed
2026-09-23 13:24:57 -04:00
grid_summary.py
research(dipz): the vol-gated dip-buy on four indices - screens, bear test, reconciliation
2026-09-23 13:24:57 -04:00
hcc.py
Add AFML parts A, B, C and HCC history decoder
2026-09-29 20:33:42 -04:00
nn_cross_index.py
feat(warrior): the vol-gated dip-buy book, ported into Warrior_EA
2026-09-23 21:14:53 -04:00
NN_PLAN.md
feat(warrior): the vol-gated dip-buy book, ported into Warrior_EA
2026-09-23 21:14:53 -04:00
NN_RESULTS.md
feat(warrior): the vol-gated dip-buy book, ported into Warrior_EA
2026-09-23 21:14:53 -04:00
portfolio.py
research(dipz): the vol-gated dip-buy on four indices - screens, bear test, reconciliation
2026-09-23 13:24:57 -04:00
premise_test.py
research(vol): meta-label blueprint, and the premise test that sank the 70% forecast
2026-09-23 13:24:57 -04:00
reconcile.py
research(dipz): the vol-gated dip-buy on four indices - screens, bear test, reconciliation
2026-09-23 13:24:57 -04:00
run_screen.py
research(dipz): the vol-gated dip-buy on four indices - screens, bear test, reconciliation
2026-09-23 13:24:57 -04:00
vol_filter_test.py
research(dipz): the vol-gated dip-buy on four indices - screens, bear test, reconciliation
2026-09-23 13:24:57 -04:00
vol_target.py
research(vol): meta-label blueprint, and the premise test that sank the 70% forecast
2026-09-23 13:24:57 -04:00