d06c99b0e1
- Fix format_push_string: write!() instead of push_str(&format!()) (25 sites) - Fix str_to_string: .to_owned() instead of .to_string() on &str (6 sites) - Fix unseparated_literal_suffix: add _ separator (6 sites) - Fix multiple_inherent_impl: merge split impl blocks in TGGN, TFT, OFI (3) - Fix else_if_without_else: add exhaustive else clauses (3 sites) - Fix if_then_some_else_none: use .then().transpose() (1 site) - Fix unwrap_in_result: replace expect() with match + ? (2 sites) - Fix wildcard_enum_match_arm: enumerate Storage variants explicitly (2) - Fix decimal_literal_representation: use hex for power-of-2 constants (5) - Fix rc_buffer: Arc<Vec<T>> → Arc<[T]> for OFI features - Fix needless_range_loop: convert to iterator patterns (17 sites) - Fix used_underscore_binding: remove prefix on used vars (6 sites) - Fix doc list item indentation (7 sites) - Allow too_many_arguments on ML training functions (4) - Allow multiple_unsafe_ops_per_block on CUDA FFI functions (3) - Allow upper_case_acronyms on SLSTM/MLSTM model names (2) - Add ML-crate pedantic allows: shadow, similar_names, type_complexity, indexing_slicing, partial_pub_fields, non_ascii_literal, same_name_method (following existing ml-labeling/ml-universe pattern) Result: cargo clippy --workspace -- -D warnings passes with zero warnings. All 2758+ lib tests pass (2 pre-existing backtesting failures unchanged). Co-Authored-By: Claude Opus 4.6 <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.