45a2041db4
Last-defense guard: if |position_lots| exceeds the ISV-driven
RL_HEAT_CAP_MAX_LOTS (slot 504, default 8 = MAX_UNITS × max_order_size),
the kernel overrides actions[b] to FlatFromLong (a3) or FlatFromShort
(a4) — full flatten, no partial. Catches runaway pyramid accumulation
before it reaches actions_to_market_targets.
Override stack ordering (step_with_lobsim):
1. rl_trail_mutate (a7/a8)
2. rl_trail_stop_check → may override to FlatFromLong/Short
3. rl_position_heat_check (THIS) → may override to FlatFromLong/Short
4. actions_to_market_targets → reads final actions[b]
Kernel `cuda/rl_position_heat_check.cu`:
* 1 block, b_size threads (grid-stride for b_size > 256)
* Reads position_lots from pos_state at offset 0 (PosFlat layout)
* Cap read from ISV[504]; if cap ≤ 0 → no-op (guard disabled)
* Per feedback_no_atomicadd: fired-count diagnostic uses shared-mem
flag array + thread-0 serial count (b_size ≤ 256 in practice)
* Writes fired-count to ISV[505] for diag
ISV slots:
* 504: RL_HEAT_CAP_MAX_LOTS_INDEX (seed 8.0)
* 505: RL_HEAT_CAP_FIRED_COUNT_INDEX (diagnostic, written per step)
* RL_SLOTS_END bumped 505 → 506
Diag (alpha_rl_train):
* "heat_cap": { "fired_count": N, "max_lots": 8 }
GPU oracle test (trade_management_kernels.rs):
* position_heat_cap_overrides_on_breach — long 5 > cap 4 → a3;
short -5 < -cap -4 → a4; long 3 ≤ cap 4 → untouched (Hold)
Verification (RTX 3050 Ti):
* cargo check -p ml-alpha --examples → clean
* integrated_trainer_smoke 1/1 → ok
* trade_management_kernels 6/6 (was 5/5, +1 heat cap) → ok
* audit-rust-consts → 0 flags
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.