jgrusewski 63e447a182 feat(rl): outcome head backward + diag JSONL enrichment ...

Wire outcome CE backward → grad_W/b → Adam → grad_h_accumulate.
Add PopArt, spectral, Q-bias, per-branch LR, outcome metrics to
diag JSONL for training validation.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

2026-05-26 11:47:19 +02:00

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backtesting

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common

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config

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ctrader-openapi

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data

fix(loader): soft-validate FrontMonth symbol when no streaming SymbolMapping

2026-05-22 18:08:36 +02:00

database

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market-data

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ml

fix(ml): migrate test uploads from clone_htod to mapped-pinned

2026-05-22 20:39:32 +02:00

ml-alpha

feat(rl): outcome head backward + diag JSONL enrichment

2026-05-26 11:47:19 +02:00

ml-asset-selection

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ml-backtesting

feat(rl): pyramiding semantics — add/partial-flat/anti-martingale sizing

2026-05-24 21:15:04 +02:00

ml-checkpoint

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ml-core

fix(ml-core): deterministic GPU weight init via scoped_init_seed

2026-05-19 01:19:13 +02:00

ml-data

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ml-data-validation

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ml-dqn

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ml-ensemble

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ml-explainability

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ml-features

fix(ml-features): imbalance bar cache on persistent PVC, not /tmp

2026-05-24 23:11:03 +02:00

ml-hyperopt

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ml-labeling

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ml-observability

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ml-paper-trading

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ml-ppo

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ml-regime

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ml-regime-detection

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ml-risk

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ml-security

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ml-stress-testing

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ml-supervised

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ml-universe

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ml-validation

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model_loader

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risk

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risk-data

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storage

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trading_engine

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trading-data

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training_uploader

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