Files
foxhunt/crates/ml
jgrusewski a7c4bc9a90 refactor(dqn): Plan 1 Task 4F — MAG_* magnitude sub-index named constants (Invariant 8)
Define MAG_QUARTER=0, MAG_HALF=1, MAG_FULL=2, NUM_MAGNITUDES=3 in
state_layout.cuh. Migrate the one unambiguous semantic comparison in
trade_physics.cuh (compute_target_position_4branch magnitude scaling).
Arithmetic operations on mag_idx (mag_idx±1, 2-mag_idx, mag_idx<2) are
runtime values, not semantic comparisons, and are not migrated.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-24 11:37:00 +02:00
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ml

10-model ML ensemble for the Foxhunt HFT system, built on Candle v0.9.1.

Models

  • DQN (Rainbow) — deep Q-network with prioritized replay, dueling heads, noisy nets
  • PPO — proximal policy optimization with GAE, LSTM policies, clip-higher
  • TFT — temporal fusion transformer for multi-horizon forecasting
  • Mamba2 — state space model for sequence prediction
  • Liquid Networks — biologically inspired networks for non-stationary data
  • TLOB — transformer-based limit order book analysis
  • KAN — Kolmogorov-Arnold networks
  • xLSTM — extended LSTM architecture
  • TGGN — temporal graph neural network
  • Diffusion — diffusion-based generative model

Key Modules

  • ensemble — model ensemble coordination and confidence aggregation
  • hyperopt — PSO-based hyperparameter optimization with per-model adapters
  • trainers — unified training loops (DQN, PPO, supervised)
  • inferenceInferenceAdapter trait for prediction
  • checkpoint — model checkpointing and restoration
  • evaluation — walk-forward evaluation pipeline

Usage

use ml::dqn::DQN;
use ml::ppo::PpoTrainer;