SignalForge
Autonomous multi-agent trading engine for Hyperliquid perpetuals.
SignalForge fuses TradingView signals, social sentiment, on-chain whale activity, and market microstructure into a Temporal-orchestrated trading pipeline with institutional-grade risk controls and walk-forward backtesting. Designed for quant teams and crypto desks who want autonomous execution without giving up the safety rails.
8-stage agent pipeline
Signal ingestion, sentiment, smart-money mirroring, microstructure, arbitrator, risk, execution, post-trade ML — each stage independently testable.
Temporal durable execution
Crash-safe replay semantics; every workflow is recoverable, never loses a trade in flight.
Sovereign risk engine
Portfolio margin guard, L2 microstructure veto, asymmetric fault tolerance — fail-soft on sentiment, hard-fail on risk.
Walk-forward backtesting
Survivorship-bias-resistant historical evaluation; tune strategies on out-of-sample windows only.
On-chain enrichment
Track Hyperliquid whale wallets, mirror smart-money allocations, factor flows into signal weighting.
Schmitt-trigger arbitration
Hysteresis between competing models prevents signal churn and over-trading.
Tech stack
- Python 3.11
- Temporal
- FastAPI
- React 19
- PostgreSQL
- Prometheus
- Grafana
- Docker
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