jgrusewski fbb8694a0b feat(dqn-v2): A.2 ISV layout fingerprint at ISV[37..39) (tail placement)
Implements spec §4.A.2 structural layout fingerprint with tail placement
rather than head placement (spec alternative: §4.A.2 Step 5.3 alt).

Head placement (ISV[0..2)) was rejected because isv_signals[0] and [1]
are actively written by the isv_signal_update kernel (Q-drift EMA and
gradient-norm EMA). Shifting those would require updating every literal
reference in experience_kernels.cu — a larger change than warranted for
pure contract enforcement. Tail placement leaves all existing indices
intact, touches zero kernel .cu files, and fulfils the same design contract.

Key changes:
- ISV_LAYOUT_FINGERPRINT_LO_INDEX = 37, HI_INDEX = 38 (u64 across 2×f32).
- LAYOUT_FINGERPRINT_CURRENT: u64 = FNV-1a of slot-list seed bytes.
  Value: 0x85d4d76b578a7c17. Any slot change updates seed bytes,
  which updates the hash automatically.
- Constructor writes fingerprint after zero-init; calls
  check_layout_fingerprint() to self-verify before returning.
- check_layout_fingerprint(): reads pinned slots [37..39), recomposes u64,
  fails-fast on mismatch with "retrain required" message.
- Error message does NOT mention migration as an option.
- Pre-commit hook rejects `fn migrate_isv|upgrade_isv` names — makes the
  no-migration rule structurally enforced (check_no_isv_migrations).
- ISV_TOTAL_DIM: 37 → 39.
- Zero existing index shifts (no kernel literal sites affected).
- StateResetRegistry entry renamed ISV_SCHEMA_VERSION → ISV_LAYOUT_FINGERPRINT.
- ResetCategory::SchemaContract docstring updated to remove "migration" framing.
- docs/isv-slots.md: updated table + design note for tail placement.

Tests: state_reset_registry 3 unit tests pass with renamed entry.
       cargo check -p ml clean (pre-existing warnings only).

Plan 1 Task 5. Spec §4.A.2 (tail-placement alternative).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 12:40:59 +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
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