FinancePy
domokane
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
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domokane
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
tradermonty
Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context.
visualHFT
VisualHFT is a WPF/C# desktop GUI that shows market microstructure in real time. You can track advanced limit‑order‑book dynamics and execution quality, then use its mod…
PyPortfolio
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
StanleyChanH
Access China, Hong Kong, US, fund, futures, bond, and macroeconomic data through Tushare Pro workflows.
ballerine-io
Open-source infrastructure and data orchestration platform for risk decisioning
cuemacro
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
JoinQuant
简单易用的量化金融数据包(easy utility for getting financial market data of China)
microsoft
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports dive…
AlphaGBM
Analyze a ticker with AlphaGBMs five-pillar framework: fundamentals, technicals, sentiment, flows, and valuation.
JoelLewis
Assess business quality, economic moats, management, competitive positioning, and durable value creation.
The-Swarm-Corporation
Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade ex…
Adamant-im
Free self-hosted market-making bot for crypto projects & token issuers. Volume, spread, liquidity, price ranges, and dynamic order books — all in one.
agiprolabs
Measure portfolio returns, risk, drawdowns, benchmarks, rolling metrics, and strategy performance from approved data.
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