jgrusewski f434309f59 infra: provision Kapsule cluster in fr-par with GPU support
Move all infrastructure from nl-ams to fr-par-2 for H100 GPU availability.
Kapsule cluster provisioned with 3 node pools (always-on DEV1-M, CI GP1-XS,
GPU H100-1-80G), databases deployed (Postgres/TimescaleDB, Redis, QuestDB),
and Tailscale subnet router configured.

Key changes:
- Region: nl-ams -> fr-par-2 (GPU types only available in Paris)
- K8s version: 1.30 -> 1.34 with auto-upgrade
- Block storage: migrate b_ssd -> SBS (scaleway_block_volume)
- Kapsule: add VPC private network, delete_additional_resources
- GPU pool: conditional via enable_gpu_pool variable
- K8s manifests: fix registry URLs, secret key names, PG subPath
- Add terragrunt cache/lockfile to .gitignore

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-24 15:35:40 +01:00
2026-02-24 13:15:02 +01:00
2026-02-24 13:30:20 +01:00

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
Languages
Rust 88.2%
Cuda 7.7%
Python 1.3%
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