a8da1cb9cf
The standalone dd_pct_concat_kernel from Phase 1.5 was bottleneck-
incompatible — it operated on raw [B, 128] state, but production trunk
consumes [B, s1_input_dim] = [B, 102] post-bottleneck. Wave 4.1a fixes
this at the kernel level; Wave 4.1b lands the consumer migration
(s1_input_dim 102→103, GRN w_s1 reshape, 3 forward + 3 backward sites).
Spec correction (per feedback_trust_code_not_docs): the spec's
'state_dim 48→49' is stale terminology pre-STATE_DIM 48→112→128
evolution. Production s1_input_dim is bottleneck_dim + (STATE_DIM −
market_dim) = 16 + (128 − 42) = 102. Wave 4.1b will bump this to 103.
NEW bn_tanh_concat_dd_kernel in dqn_utility_kernels.cu:
- Fuses dd_pct append into the same launch as bn_tanh + portfolio
concat (output shape [B, bn_dim + portfolio_dim + 1])
- Reads isv[DD_PCT_INDEX=406] (set by Wave 1.3.b dd_state_kernel
per-step), broadcasts the scalar across batch as the appended
last column
DELETED standalone dd_pct_concat_kernel.cu + launch_sp15_dd_pct_concat
+ cubin manifest entry per feedback_no_legacy_aliases (zero production
callers — only test consumer; bottleneck-on path is canonical).
Test helpers added (used by Wave 4.1c behavioral KL test).
Phase 1.5 oracle test migrated to bn_tanh_concat_dd_kernel contract:
test name bn_tanh_concat_dd_kernel_writes_dd_pct_column passes on
RTX 3050 Ti.
Layout fingerprint already covers Phase 1.5 via the existing
TRUNK_INPUT_DD_PCT=sp15_phase_1_5; marker — pre-SP15 checkpoints
already break.
fxcache schema_hash auto-bumps from file content hashes (per task
P5T5 Phase F mechanism); no manual schema bump needed.
Atomic per feedback_no_partial_refactor for the kernel-signature
contract change. Consumer wiring (s1_input_dim propagation, GRN
reshape, forward/backward call sites) deferred to Wave 4.1b's atomic
commit per the established 3a/3b split precedent — kernel + launcher
land first.
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.