quantitative-finance

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

Advanced American Option Pricing Dashboard using Python. Implements 6 valuation models (Black-Scholes, Binomial/Trinomial Trees, PDE Theta-Scheme, Longstaff-Schwartz Monte Carlo, Bjerksund-Stensland) with Implied Volatility calibration, Greeks analysis, and Optimal Exercise Boundaries.

Replay console for hftbacktest market-making backtests: order book, queue position of every resting order, feed and order latency, fills and the raw feed from the collector, on real recorded Binance Futures data. Rust runner on the hftbacktest crate, text-mode dashboard. A backtester, not a trading

A-share full-stack data toolkit: market K-lines · intraday ticks · research reports · signals · fund flows · news · financials · filings · limit-up stocks · ETF options · public opinion · macro rates · commodity futures (including Dalian Commodity Exchange daily K-lines) · event-driven data · convertible bonds | 15 layers · 87 endpoints · 34 data sources · no key required except iwencai |…

"🐳 Dsh-Quant: The Everything-Plugin Ai native Quant OS "

Experimental causal-inference research on financial regimes: PCMCI+, ICP and causal forests over market data (work in progress)

scikit-learn-compatible time-series cross-validation: purging, embargo, combinatorial purged CV, and deflated Sharpe ratios

Official Tonghuashun A-share financial data service, providing real-time stock quotes, historical market data, financial statements, indices, sectors, limit-up data, and more, for AI Agents, quantitative research, and application development; supports API, MCP, CLI, and Python. Official Tonghuashun (HiThink) A-share financial data service providing real-time and historical stock market data…

End-to-end quantitative sports betting pipeline for the Premier League. Probabilistic modeling (Poisson, XGBoost, Dense NN), Dixon-Coles adjustment, and Fractional Kelly portfolio optimization with turnover tax constraints.

Algorithmic Trading in Python with Machine Learning

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.