jgrusewski 1ecce0d826 spec(ml-backtesting): critical-review pass on ISV stop controller — 9 fixes
Issues caught in self-review and fixed:

1. Encoding ambiguity: stop-fire writing (2, 0) would have silently
   collapsed weak-alpha no-op semantics with force-flat. Introduced
   distinct side=3 = force-flat; preserved side=2 = no-op for entry
   path. Updated §3 + §5 + §7 truth table.

2. trail_hwm reset on close was implied in §4 but missing from §8's
   touched-files list. Added pnl_track.cu modification (§7.1) +
   added to §8 Added list.

3. __device__ helper enforcement: §3 now mandates stop_check_isv()
   as a shared __device__ function called from both decision kernels,
   not duplicated code.

4. Kernel arg additions enumerated explicitly in new §4.1 table —
   every kernel-launch site gets named, no "thread through every kernel"
   hand-wave.

5. seed_inflight_limits_batched (resting_orders.cu:439–475) named
   explicitly in §1 + §7 — the actual kernel that needs the position-
   target-semantics fix.

6. In-flight order summation: naive delta = target_signed - pos was
   strictly worse than the original additive bug under non-zero
   latency (would produce pos = pre + K·delta after fills). Fixed
   §7 algorithm to compute effective_position by scanning all
   active∈{1, 2} slots and summing their signed sizes. Added
   position_target_not_additive_with_latency test.

7. ATR α=0.4 honest justification in §10: not strictly derived from
   pearl_wiener_alpha_floor_for_nonstationary (which is about co-
   adapting control loops, not passive observation); chosen as a
   pragmatic project-wide constant matching isv_kelly_update_on_close.

8. CUDA Graph host-branch-free affirmation added to §3 — explicit
   compatibility with P5 graph capture.

9. Cold-start symmetry caveat (§5): at n_trades_seen=0 both EMAs are
   0 so sl_distance == trail_distance == atr — asymmetry only
   emerges post-bootstrap. Acknowledged honestly.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-19 23:20:04 +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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Readme 849 MiB
Languages
Rust 88.2%
Cuda 7.7%
Python 1.3%
Shell 1.1%
PLpgSQL 0.8%
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