Pinned Loading
- hft-market-data-processor
hft-market-data-processor PublicHigh-performance Rust implementation of HFT market data processing engine with sub-microsecond latencies for institutional trading platforms
- financeMCPSuite
financeMCPSuite PublicThree MCP servers exposing financial strategy data (metadata, P&L history, risk attribution) with a rich CLI. Built with Python, FastMCP, Pydantic, NumPy, and Click.
Python 1
- timesfm-risk-engine
timesfm-risk-engine PublicA professional-grade quantitative risk tool powered by Google Research's TimesFM 2.5 (Time Series Foundation Model). This suite provides recursive macro-conditioning, Value-at-Risk (VaR) synthesis,…
Python 1
- statistical-arb-timesfm
statistical-arb-timesfm PublicProduction-grade statistical arbitrage terminal using Google's TimesFM 2.5 and Kalman Filters for dynamic hedge ratio adaptation. Features a high-contrast Bloomberg-style dashboard, vectorized back…
- momentum-trading-strategy
momentum-trading-strategy PublicProfessional quantitative momentum trading strategy with real-time analytics, ML predictions, and comprehensive backtesting framework
Python 2
- ApexQuant-Engine
ApexQuant-Engine PublicProfessional event-driven quantitative trading framework for deterministic backtesting, risk controls, simulated execution, reports, dashboards, and API services.
Python 1
If the problem persists, check the GitHub status page or contact support.
Uh oh!
There was an error while loading. Please reload this page.

