jgrusewski 7883c5ca1b docs(sp22): H6 Phase 2 spec — recenter state[121] to [-1, +1]
Post-mortem of the H6 Phase 1 smoke (WR = 50.21% verdict in
`docs/dqn-wire-up-audit.md`) traced an actual pearl violation in the
H6 implementation itself: state slot 121 uses the [0, 1] range
(`aux_softmax[env, 1] = p_up`) with sentinel 0.5, while every OTHER
state slot uses 0 as the "no signal" baseline (zero-padding,
feature_mask, ofi-missing, mtf-missing).

Per `pearl_first_observation_bootstrap`: "sentinel = 0; first
observation replaces directly." The H6 design violated this for
slot 121 alone. The encoder must learn TWO things about slot 121:
(1) the directional mapping AND (2) the appropriate bias offset for
the non-zero baseline — every other dim is single-step (mapping only).

Phase 2 is the simplest possible amplification fix: rewrite the bridge
to use the same convention as every other state slot. If the encoder
can't gradient-couple even after this fix, H6 is truly falsified and
we pivot to amplitude scaling or deeper hypothesis.

Change scope (atomic per `feedback_no_partial_refactor`):
- aux_softmax_to_per_env_kernel.cu: write `2*p_up - 1` instead of `p_up`
- gpu_experience_collector.rs: cold-start + FoldReset sentinel 0.5 → 0.0
- experience_kernels.cu: NULL-fallback in 3 state-gather kernels
  0.5f → 0.0f
- state_layout.rs / state_layout.cuh: comment updates to reflect
  [-1, +1] range and 0 sentinel

Estimated effort: ~45 min walltime (edits + verification gates) +
~25–40 min smoke wall-clock.

Verdict criteria (cycle 1 WR + a_var [d/m/o/u] in HEALTH_DIAG[0]):
- WR > 50.5% → recentering binding, H6 + Phase 2 sufficient → justify A2
- a_var for mag/ord/urg > 1e-3 → sub-branches learning under recentered signal
- WR pinned at 50.1–50.2% → Phase 2 falsified, pivot to amplitude
  scaling or deeper hypothesis

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-12 22:23:24 +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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