9ec43fdb9d48ab26abe14c33e11b7f68bbc73f51
Adds PerceptionTrainer::forward_encoder() returning a borrowed slice to h_t — the CfC h_new at the FINAL window position (K-1), where the trade decision is made. The integrated RL trainer (ml_alpha::rl, Phase E) consumes this to dispatch its 5 loss heads (BCE direction, C51 Q, PPO pi, PPO V, aux prof+size) on the same encoder representation that a supervised step() would have used. Implementation strategy: reuse the existing forward_only() captured graph (snap_features -> VSN -> Mamba2 x2 -> CfC K-loop -> BCE GRN heads) rather than splitting the encoder forward out of the captured graph. The BCE heads still run but their output (probs_per_k_d) is discarded; the overhead is one fused GRN kernel per k (small vs. Mamba2+CfC) and avoids the risk of breaking pearl_cudarc_disable_event_tracking_for_graph_capture or pearl_no_host_branches_in_captured_graph. Phase E end-to-end profiling can revisit if needed. A new dedicated h_t_d: CudaSlice<f32> field of size [B * HIDDEN_DIM] receives a stream-ordered DtoD copy from h_new_per_k_d at slot K-1 after each forward_encoder() call. This gives RL callers a stable borrowed reference even if a subsequent forward_encoder() overwrites the per-K scratch. Phase B (this commit) lands forward only. The backward path (per-head loss -> lambda-weighted combine -> encoder backward via existing step_backward_* machinery) is wired in Phase E once the heads (Phases C+D) exist. Existing step()/step_batched()/forward_only() semantics are unchanged — the new field is initialised once at construction and written only by forward_encoder(). All 56 ml-alpha lib tests still pass; the new tests/encoder_gradient.rs locks the API contract (borrow length B*HIDDEN_DIM, captured-graph determinism across two calls, finite values, at least one non-zero element).
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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
Languages
Rust
88.2%
Cuda
7.7%
Python
1.3%
Shell
1.1%
PLpgSQL
0.8%
Other
0.8%