6715ab4ea1
Forward wire (weight-side only — dispatch consumer lands in B.9): direction Q-head's first FC weight tensor `w_b0fc` (param-table index 17) input dim grows by 1 to accept aux_softmax_diff. The (rows, cols) shape table at the trainer-init Xavier site is updated in lock-step with `compute_param_sizes()`. Output dim (adv_h) and the bias `b_b0fc` are unchanged — bias is per-output, not per-input. `layout_fingerprint_seed()` entry renamed `PARAM_W_B0FC` → `PARAM_W_B0FC_AUX1`, forcing the FNV-1a hash to bump per Invariant 8 (old checkpoints fail-fast at load via `check_layout_fingerprint` instead of silently aliasing onto the new architecture). Per `feedback_no_legacy_aliases`, no `_DEPRECATED` shim — straight in-place rename. New weight column zero-initialised in trainer construction (mirrors the OFI column zeroing for w_b2fc/w_b3fc): the model starts ignoring the new input and learns to use it through gradient descent. Xavier- init on this column would inject day-0 noise the trunk would have to denoise — let the EGF gate decide when the aux signal is trustworthy. Atomic-migration consumers (`feedback_no_partial_refactor`) updated: - `gpu_dqn_trainer.rs` — Xavier (rows, cols) table at index 17 grows to (adv_h, SH2+1); spectral-norm descriptor entry [4] for W_a1 grows in_dim from sh2 to sh2+1; spec_v_a1 power-iteration vector grows from sh2 to sh2+1 floats. - `dqn/smoke_tests/gradient_budget.rs` — both `alloc_dueling` fixtures' slot 8 grow `cfg.adv_h * cfg.shared_h2` → `cfg.adv_h * (cfg.shared_h2 + 1)`. - `docs/dqn-wire-up-audit.md` — new SP14 Layer B B.8 entry per Invariant 7. Note: forward GEMM dispatch still uses `K = shared_h2` until B.9 lands the concat-then-SGEMM consumer (per plan §2358). Until then the new column reads as ignored padding; this is safe because (a) it's zero- initialised, (b) GPU-only smoke tests are skipped on this CPU CI, (c) the fingerprint bump invalidates any pre-SP14 checkpoint that would attempt to load. Test: `layout_fingerprint_bumps_after_sp14_wire` (CPU-only, in `sp14_oracle_tests.rs`) hashes the pre-B.8 seed verbatim with the single difference `PARAM_W_B0FC` (vs post-B.8 `PARAM_W_B0FC_AUX1`) and asserts `LAYOUT_FINGERPRINT_CURRENT` differs — any silent revert of the rename trips this test. Mirrors the `fingerprint_bumped_from_ pre_b1_1a` pattern from `sp13_layer_b_oracle_tests.rs`. Verified: - `SQLX_OFFLINE=true cargo check -p ml` clean, 18 warnings (baseline) - `cargo test -p ml --test sp14_oracle_tests` 2 passed, 6 ignored (GPU) - `cargo test -p ml --test sp13_layer_b_oracle_tests fingerprint_bumped_from_pre_b1_1a` still passes (sister test) 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.