132609724e
Path A of the blocked 1.3.b investigation: fixes two architectural issues atomically and wires the launcher. (1) Bug fix: dd_state_kernel.cu was recomputing new_equity = PS_PREV_EQUITY + pnl_step and writing it back, but experience_env_step already maintains PS_PREV_EQUITY (experience_kernels.cu:3473-3475) — wiring as-is would silently double-accumulate equity every step. Kernel now READS PS_PREV_EQUITY / PS_PEAK_EQUITY only; does not modify them. pnl_step parameter dropped from both kernel and launcher signatures. (2) Per-env shape decision: kernel is single-thread/single-block; production has N envs but DD ISV slots [401..407) are scalars. Picks 'env 0 as canonical observable' — kernel reads pos_state[0 * PS_STRIDE + ...]. Per-env redesign (per-env tiles + reduction kernel) deferred to Phase 1.3.b-followup if L40S smoke shows single-env DD aggregation is insufficient. (3) Wire-up: launch added at gpu_experience_collector.rs step 5b in launch_timestep_loop, immediately after env_step writes PS_PREV_EQUITY, outside the exp-fwd graph capture region (which ends at line ~3829, well before env_step). Atomic per feedback_no_partial_refactor: kernel signature change + oracle test update + launcher call site update all in this commit. Eliminates the Phase 1.3 orphan launcher per feedback_wire_everything_up. Downstream Phase 3.3 / 3.5.2 / 3.5.4 / 3.5.5 readers will receive live DD values when their consumer wiring lands. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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.