jgrusewski fbc299fa27 feat(dqn-v2): E.4 encoder/decoder Rust API split — additive, no behavior change
Plan 4 Task 4. Pure Rust API refactor — no kernel changes, no parameter
changes, no checkpoint break, no new ISV slot.

New types:
- StateEncoder: wraps the trunk encoder portion (h_s1 + h_s2 GEMMs)
- ValueDecoder: per-branch decoder (4 instances: Dir, Mag, Ord, Urg)
- EncoderOutput: { h_s2_dev_ptr, h_s2_dim, batch_size }
- BranchDecoderOutput: Q-per-action + V_short + V_long (Plan 2 D.3
  horizon-decomposed value already landed) + num_atoms + batch_size

BatchedForward gains 2 helper methods:
- encoder_forward_only(...) — extracted trunk encoder dispatch
- decoder_forward_only(branch_idx, ...) — single-stream per-branch
  dispatch mirroring the loop body in forward_online_raw

forward_online_raw stays intact and callable; existing call sites
(training_loop, eval, experience collector) unchanged. The trunk
portion of forward_online_raw now routes through encoder_forward_only
internally — lossless extraction (same launch sequence, same
workspace usage). The new wrappers are ADDITIVE attachment points for
Plan 4 Task 1 (Full VSN, attaches pre-encoder), Task 3 (multi-Q IQN,
attaches at decoder), and Task 6 (auxiliary heads, attaches at decoder
peer). Migration of existing callers is deferred — the goal of this
task is establishing a clean type boundary, not migrating call sites.

Smoke (RTX 3050 Ti, 5 epochs, 3 folds, T5 baseline): fold 2 best
val Sharpe = 109.06 at epoch 3 (within RNG noise of T5 landing's
fold-2 best of 95.09; the refactor is behaviorally a no-op since
encoder_forward_only is invoked with byte-identical args).

cargo check --workspace: 11 warnings (matches baseline).

No checkpoint break. No new ISV slot. No new CUDA kernels. No call-site
migration in this commit.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 10:40:05 +02:00

Foxhunt

Production HFT trading system in Rust.

Architecture

The workspace contains 32 crates organized as follows:

Core Libraries (16)

Crate Purpose
trading_engine Order processing, FIX 4.4, IB TWS, SIMD, RDTSC timing
risk VaR, Kelly, circuit breakers, kill switches, compliance
risk-data Risk data types and shared structures
trading-data Trading data types
ml DQN Rainbow, PPO, TFT, Mamba2, ensemble inference
ml-data ML data types and feature definitions
data Market data ingestion and storage
backtesting Replay engine, strategy tester
adaptive-strategy Ensemble execution, microstructure analysis
common Shared types, resilience, error handling
storage S3 and local model storage
model_loader Model serialization and loading
market-data Market data feed handlers
database PostgreSQL access layer (SQLx)
config Configuration management
tli CLI commands and tooling

Services (8)

Service Purpose
backtesting_service gRPC backtesting service
broker_gateway_service FIX routing, broker connectivity
trading_service Core trading operations
ml_training_service Model training orchestration
data_acquisition_service Market data acquisition
trading_agent_service Autonomous trading agents
api_gateway gRPC API gateway with auth
web-gateway Axum REST + WebSocket gateway

Frontend

web-dashboard/ -- React 19 + TypeScript + Vite + TradingView charts.

Building

# Check compilation (no PostgreSQL required)
SQLX_OFFLINE=true cargo check --workspace

# Run tests for a specific crate
SQLX_OFFLINE=true cargo test -p <crate> --lib

# Clippy
SQLX_OFFLINE=true cargo clippy --workspace

ML Models

Four production model architectures on Candle v0.9.1 with CUDA:

  • DQN Rainbow -- Deep Q-Network with prioritized replay, dueling heads, noisy nets
  • PPO -- Proximal Policy Optimization with GAE and LSTM policies
  • TFT -- Temporal Fusion Transformer for multi-horizon forecasting
  • Mamba2 -- State space model for sequence prediction

Each model has a standalone trainer and a UnifiedTrainable adapter for the hyperopt pipeline.

Infrastructure

  • Git: Gitea at git.fxhnt.ai (Tailscale-only), Scaleway DEV1-S
  • Observability: OpenTelemetry OTLP (env OTEL_EXPORTER_OTLP_ENDPOINT)
  • Database: PostgreSQL with SQLx offline mode for CI

License

Proprietary. All rights reserved.

Description
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Readme 849 MiB
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Cuda 7.7%
Python 1.3%
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