5fe3608d92
- Remove opentelemetry-otlp internal-logs feature (OTLP feedback loop) - Switch trace sampling from AlwaysOn to 10% ratio-based - Add RUST_LOG filtering (opentelemetry/h2/tonic/hyper=warn) to all 8 services - Wire per-service latency measurement via health check → proto metadata → TUI - Replace Vec::remove(0) with VecDeque ring buffers (O(1) vs O(n)) - Add Arc<AtomicBool> connected_sent for first-connected detection across 12 streams - Add MAX_RECONNECT_ATTEMPTS (10) uniformly to all stream spawners - Change kill switch/circuit breaker fields to Option types with N/A display - Wire data_cache to real download status stream, remove dead cluster_events - Remove ServiceData::new() hardcoded stubs, add honest placeholders - Fix nanos_to_hms zero/negative guard, total_records semantic fix - Fix RwLock held across yield in broker_gateway stream_account_state - Add break after yield Err in broker/trading stream generators - Fix connected_at advancing per tick in stream_session_status - Tempo: replace emptyDir with 10Gi PVC, bump memory to 512Mi/2Gi - Remove Prometheus gitlab-annotated-pods duplicate scrape job - Wire 6 new gRPC streaming adapters (risk, trading, ml, data-acquisition) 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.