jgrusewski 2aa955f0dd feat: log full validation backtest metrics — Sharpe + Sortino + WinRate + MaxDD + Trades + Calmar ...

compute_validation_loss only returned Sharpe, discarding all other
backtest metrics. Now logs the complete picture on every epoch so we
can verify if the learning system actually works on out-of-sample data.

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

2026-04-17 20:48:35 +02:00

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backtesting

refactor: collapse 9-level to 7-level ExposureLevel — eliminate degenerate Flat variants

2026-04-11 11:54:09 +02:00

common

fix: switch tracing to stderr (unbuffered) — stdbuf has no effect on Rust

2026-04-02 16:29:55 +02:00

config

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ctrader-openapi

fix: tune log levels across workspace — demote noisy warn to debug/trace

2026-03-14 11:35:15 +01:00

data

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database

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market-data

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ml

feat: log full validation backtest metrics — Sharpe + Sortino + WinRate + MaxDD + Trades + Calmar

2026-04-17 20:48:35 +02:00

ml-asset-selection

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ml-backtesting

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ml-checkpoint

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ml-core

feat: position-gated episodes + 5000-bar limit — close 45x training/val gap

2026-04-16 21:56:44 +02:00

ml-data

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ml-data-validation

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ml-dqn

feat: wire up all IQL features + remove dead code

2026-04-13 19:28:00 +02:00

ml-ensemble

feat(ensemble): GPU-native ensemble reduce kernel, remove CPU fallbacks

2026-03-29 22:35:37 +02:00

ml-explainability

feat(ensemble): GPU-native ensemble reduce kernel, remove CPU fallbacks

2026-03-29 22:35:37 +02:00

ml-features

fix: zen precommit — 2 criticals + 3 lows resolved

2026-04-17 02:05:20 +02:00

ml-hyperopt

refactor: LHS is the correct algorithm for small budgets, not a fallback

2026-03-29 19:18:47 +02:00

ml-labeling

fix(clippy): ml-supervised + ml-core + thin crates — 34 errors fixed

2026-03-19 00:39:03 +01:00

ml-observability

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ml-paper-trading

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ml-ppo

Revert "refactor: remove ALL bf16 legacy wrappers — pure native f32 across entire codebase"

2026-04-13 17:09:34 +02:00

ml-regime

refactor(cuda): eliminate all CPU fallbacks — CUDA mandatory across ML stack

2026-03-16 21:01:28 +01:00

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

cleanup: remove half crate dependency from entire workspace

2026-04-10 18:54:14 +02:00

ml-universe

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ml-validation

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model_loader

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risk

refactor: eliminate candle from entire workspace — tests, examples, Cargo.toml

2026-03-18 00:53:47 +01:00

risk-data

fix: tune log levels across workspace — demote noisy warn to debug/trace

2026-03-14 11:35:15 +01:00

storage

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trading_engine

fix(ml): BF16/F32 boundary alignment, GPU-resident ops across all ML crates

2026-03-15 11:59:31 +01:00

trading-data

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training_uploader

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