jgrusewski e690b1c60e feat(hyperopt): add signal threshold params + backtest fitness to all 8 supervised adapters ...

All supervised hyperopt adapters (TFT, Mamba2, Liquid, KAN, xLSTM, TGGN,
TLOB, Diffusion) now include:
- signal_high_bps and signal_low_bps in ParameterSpace (tunable thresholds)
- backtest_sharpe and backtest_trades fields in Metrics structs
- extract_objective prefers GPU backtest fitness over val_loss when available
- All tests updated (101 passing)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-03-11 15:59:38 +01:00

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backtesting

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common

Merge branch 'worktree-branching-dqn-plan'

2026-03-11 08:46:58 +01:00

config

refactor: rename JWT issuer foxhunt-api-gateway → foxhunt-api, drop compat aliases

2026-03-05 00:22:04 +01:00

ctrader-openapi

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data

fix(ml): streaming parallel OFI + fix hardcoded state_dim=54 in backtest

2026-03-07 23:28:18 +01:00

database

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market-data

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ml

feat(hyperopt): add signal threshold params + backtest fitness to all 8 supervised adapters

2026-03-11 15:59:38 +01:00

ml-asset-selection

fix(clippy): apply cargo clippy --fix across workspace

2026-03-10 11:17:51 +01:00

ml-backtesting

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

ml-checkpoint

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

ml-core

fix(dqn): replace hardcoded PER memory cap with dynamic VRAM-proportional budget

2026-03-11 10:03:21 +01:00

ml-data

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ml-data-validation

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

ml-dqn

Merge branch 'feature/cuda-backtest-plan'

2026-03-11 13:24:04 +01:00

ml-ensemble

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

ml-explainability

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

ml-features

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

ml-hyperopt

feat(dqn): Branching DQN + KernelWeightPack + metrics propagation

2026-03-11 00:46:53 +01:00

ml-labeling

fix(clippy): add doc backticks and const fn across ML crates

2026-03-10 11:51:31 +01:00

ml-observability

fix(clippy): add doc backticks and const fn across ML crates

2026-03-10 11:51:31 +01:00

ml-paper-trading

refactor(ml): extract regime-detection, explainability, paper-trading

2026-03-08 15:17:22 +01:00

ml-ppo

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

ml-regime

fix(clippy): resolve misc warnings across ML crates

2026-03-10 12:12:14 +01:00

ml-regime-detection

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

ml-risk

refactor(ml): split monolith into 9 sub-crates + delete dead code

2026-03-08 15:17:22 +01:00

ml-security

fix(clippy): apply cargo clippy --fix across workspace

2026-03-10 11:17:51 +01:00

ml-stress-testing

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

ml-supervised

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

ml-universe

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

ml-validation

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

model_loader

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risk

refactor: remove trading_engine dep from ml and risk crates

2026-03-05 23:19:38 +01:00

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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