3bfbcd7137
Plan 4 was drafted 2026-04-24 against an earlier Plan 3 design. After
Plan 3 landed (commits 44539d8f4..3cb083f18), the pre-plan gate
referenced slot names that don't exist in the landed implementation:
- PLAN_PARAMS_0_EMA_INDEX → became READINESS_EMA_INDEX (Task 4)
- STATE_KL_THRESHOLD_EMA_INDEX → eliminated; Task 7 uses kernel-internal
trailing-EMA-of-self pattern (no separate threshold slot)
- TEMPORAL_REWARD_{PERSIST,REGIME_SHIFT,CONSISTENCY}_EMA_INDEX → consolidated
into rc[5] → ISV[68] REWARD_BONUS_EMA_INDEX via Plan 3 Task 6a/6b/6c
Updated:
- Pre-plan slot-existence check matches landed slot names
- Validation-doc gate softened: Plan 3 Argo Tier 1 PASS becomes OPTIONAL;
local 5-epoch multi-fold smoke is the de-facto gate (user choice
to proceed without burning Argo cycles)
- Status table at top shows landed Plan 3 baseline (ISV_TOTAL_DIM=87,
PS_STRIDE=43, fingerprint at [85,86]) and per-task difficulty estimate
- Reality-reconciliation note documents the rename trail
No task body changes; subsequent commits will revise individual task
specs as they become next-up for execution.
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.