c4aa71b9df
Closes Fix 29 audit row #18. The synthetic-data overlay kernel `phantom_liquidity_gbm` in `dqn_utility_kernels.cu:1050-1096` was flagged ❓ Ambiguous because its writer wrote `log_ret` to `market_features[bar*market_dim + 0]` and `+3` — the WRITER's downstream consumer contract was unverifiable post Bug 1 (commit `5a5dd0fed`) which redefined feature index 0 from raw log-return to z-normed log-return. Investigation result: zero callers in the entire codebase. The audit grep `grep -rn "phantom_liquidity_gbm" crates/ml/src/ services/ crates/ bin/` returns ONLY the kernel definition itself — no `load_function`, no `launch_builder`, no Rust-side launcher. The kernel has been compiled but never invoked since at least early 2026. Resolution: delete the kernel definition and replace with an explanatory comment block. Per `feedback_no_hiding` an orphan kernel with an ambiguous post-Bug-1 contract is exactly the failure mode the rule warns against — a future re-wirer would have written synthetic z-normed log-returns into a slot the production pipeline expects raw log-returns at, re-introducing the very Bug-1 drift the audit was triaging. Per `feedback_wire_everything_up` a kernel that compiles but is unconsumed is either wired in the same commit or deleted; this kernel was never wired since its writer existed. The replacement comment block (23 lines) documents the design intent (GBM-based synthetic-data augmentation) so any future re-introduction has the spec available, plus the re-introduction conditions: caller wiring must land in the same commit, and the writer/consumer contract for `market_features[..+0]` (z-normed vs raw log-return) must be explicit at the kernel boundary. What this change touches: - crates/ml/src/cuda_pipeline/dqn_utility_kernels.cu:1037-1096 47-line kernel definition + ══ comment header deleted; 23-line DELETED notice replaces it. Net -24 lines. - docs/dqn-wire-up-audit.md Fix 30 Ambiguous-A row appended with the dead-code-deleted resolution. Stale-B deferral note also added (separate paragraph) documenting the pre-existing `_via_pinned` guard block requires a dedicated `gpu_backtest_evaluator.rs` migration commit before the Stale-B kernel-side fix can land. Verification: - SQLX_OFFLINE=true cargo build -p ml --release --offline --features cuda (1m 30s) clean; cubin recompiled via nvcc. - Pre-commit guards pass. - Final grep for `phantom_liquidity_gbm` returns only the comment block in the kernel file. Refs Fix 29 row #18 deferred follow-up. `feedback_no_hiding` (delete orphans, do not leave them as ambiguous landmines), `feedback_wire_everything_up` (every module/feature/kernel built must be wired to a production path or removed), `feedback_no_functionality_removal` does NOT apply: a kernel with zero callers is not a functional feature, and the audit doc retains the design intent so any future re-introduction can rebuild the mechanism with the correct post-Bug-1 contract. 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.