jgrusewski b6038ca709 refactor: remove 3 dead reduction arrays + per-thread drawdown vars from metrics kernel ...

s_max_dd, s_trades, s_wins parallel reductions were made redundant by
the exact sequential drawdown scan and upcoming boundary stitching.
Reduces shared memory from 25KB to 22KB and removes 3 dead ops/bar
from the per-thread loop. Trade count/win rate temporarily zeroed —
restored by boundary stitching in next commit.

2026-03-25 19:25:10 +01:00

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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

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database

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market-data

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ml

refactor: remove 3 dead reduction arrays + per-thread drawdown vars from metrics kernel

2026-03-25 19:25:10 +01:00

ml-asset-selection

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ml-backtesting

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ml-checkpoint

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ml-core

feat: ExposureLevel 5→9 variants (Short75/Short25/Long25/Long75)

2026-03-23 09:21:58 +01:00

ml-data

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ml-data-validation

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ml-dqn

feat: v_range computed from reward_scale + gamma — config flows HP → DQNConfig → GpuConfig

2026-03-25 10:16:26 +01:00

ml-ensemble

feat: ZERO unannotated GPU→CPU downloads — every memcpy_dtoh accounted for

2026-03-18 20:09:37 +01:00

ml-explainability

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ml-features

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ml-hyperopt

fix: TPE evaluate_point catches training errors as penalty, not abort

2026-03-22 14:48:40 +01:00

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

fix: wire real GPU backprop + SPSA gradients, fix checkpoint loading, eliminate candle from examples

2026-03-20 15:41:42 +01:00

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

fix: wire real GPU backprop + SPSA gradients, fix checkpoint loading, eliminate candle from examples

2026-03-20 15:41:42 +01:00

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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