jgrusewski 29a2615f6a feat(sp20): Phase 2 Task 2.0 — per-env trade-open label-sign infra
Lands the producer-side infrastructure for SP20 Phase 2's 4-quadrant
reward kernel (Task 2.2):

* New `[alloc_episodes]` `i32` device buffer `label_at_open_per_env`
  on `GpuExperienceCollector`, allocated alongside `episode_starts_buf`.
* Two new `experience_env_step` kernel args (`aux_label_per_env` input,
  `label_at_open_per_env` output), threaded into the launch site.
* Write site at the `entering_trade` branch maps the upstream aux
  next-bar label (`{0,1,-1}` from `aux_sign_label_per_step_kernel`) to
  the SP20 spec sign convention (`{-1,+1,0}`) per spec §4.1.
* StateResetRegistry entry `label_at_open_per_env` (FoldReset) +
  `reset_named_state` dispatch arm via `stream.memset_zeros`.
* Registry invariant test `sp20_label_at_open_per_env_registered_fold_reset`
  pins the FoldReset category + key description anchors.
* Audit-doc entry documents the design rationale (why per-env buffer
  vs. derived-at-trade-close read), sign mapping, FoldReset semantics,
  kernel-arg threading, and Task 2.1/2.2 forward references.

Producer-only this commit. The consumer (`is_close` branch reading
`label_at_open_per_env[i]` and passing to `sp20_compute_event_reward`)
lands atomically with the SP12 v3 reward block replacement in Task 2.2,
per `feedback_no_partial_refactor`.

NULL-tolerant kernel arg pair lets test scaffolds without aux-head
wiring continue to work; the FoldReset-zeroed buffer reads as sentinel
0 at the consumer (which Task 2.2 maps to "no info" / wrong-reason
quadrant — safer default than over-rewarding a no-signal trade).

Verification:
  SQLX_OFFLINE=true cargo check -p ml          # clean
  SQLX_OFFLINE=true cargo test -p ml --lib sp20 # 18/18 (+1 new)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-09 23:54:01 +02:00

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
No description provided
Readme 849 MiB
Languages
Rust 88.2%
Cuda 7.7%
Python 1.3%
Shell 1.1%
PLpgSQL 0.8%
Other 0.8%