jgrusewski 6c1ab88507 fix(mbp10): filter front-month per file in mbp10_to_imbalance_bars
Pre-fix: mbp10_to_imbalance_bars loaded ALL trades from MBP-10 .dbn files
without filtering by instrument_id, then fed them through ImbalanceBarSampler.
When the dominant ES contract rolls over (ESZ24 → ESH25 → ESM25), price
jumps appear at every rollover, failing the precompute_features.rs:371-376
price-continuity gate (3.5% jump rate vs 1% threshold). First observed on
workflow train-multi-seed-crb2k yesterday.

Fix: mirror the per-file front-month pattern from precompute_features.rs:347-365
(which uses filter_front_month on DbnTrade slices). Same logic applied to
Mbp10Trade — but Mbp10Trade didn't carry instrument_id, so:

- Added `instrument_id: u32` field to Mbp10Trade.
- Populated from `mbp10.hd.instrument_id` in extract_trades_from_dbn_file
  (the production extraction path).
- Defaulted to 0 in extract_trades_from_snapshots (snapshot-diff path used by
  tests; no per-record id available; backward-compatible — filter is a no-op
  when all ids are 0).
- New filter_front_month_mbp10() helper that mirrors trades_loader's
  filter_front_month exactly, just operating on Mbp10Trade.
- mbp10_to_imbalance_bars now applies filter_front_month_mbp10 per-file
  in the extraction loop, identical to precompute_features.rs:347-365.

Compiles clean. Replaces tracing::debug! with tracing::info! at the per-file
log site to make the raw-vs-filtered count visible at production INFO level.

The wgdc8 commit 1aaf94306 (EWMA bypass via ImbalanceBarSampler::new) is
preserved — fixed-threshold semantics remain correct per
pearl_imbalance_bar_ewma_washes_out_configured_threshold. This fix is
orthogonal: front-month filter at the trade-tape level, EWMA bypass at the
sampler level. Both are needed for imbalance bars to produce sensible output.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 10:11:07 +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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Languages
Rust 88.2%
Cuda 7.7%
Python 1.3%
Shell 1.1%
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