Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀
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Updated
Jun 8, 2026 - Go
Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀
Indicator TS delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀
Extremely fast quantitative factor cleaning and backtesting library, based on Polars
Open Source Algorithmic Trading Engine
Python financial widgets with okama and Dash (plotly)
An easy-to-use manual to use the OpenBB terminal developed by 3 university students
Official public repository of Berlin Quant Lab (BQλ), the quantitative finance initiative of the Berlin Investment Group (BIG). Featuring quantitative finance research, algorithmic trading strategies, market analyses, educational materials, and open-source projects.
DQN stock-trading agent with a custom Gymnasium environment and yfinance data.
A demo for implement of ztsec-xtp-api
Code for extracting mean-reverting portfolios out of large data sets.
A-Stockit —— 面向 Agent 框架的 A 股量化分析技能库,提供多样化市场操作,无需配置独立 trading bot
🖥️🚀📈📉Algorithmic implementation of automated adjustment of delta hedged initialized short straddle deployed over Derivatives (Options) market
Causal discovery pipeline for Bitcoin return drivers — PC Algorithm, NOTEARS, PCMCI, Granger + DoWhy falsification. In partnership with ESILV and Ginjer AM.
MPT portfolio optimizer + parametric VaR, verified via Monte Carlo simulation
Decision-Aware Risk & Deployment System — a machine learning decision framework for capital deployment and risk posture determination.
Forecasting 21-day realised volatility on the URA uranium ETF using a stacked LSTM network, benchmarked against a GARCH(1,1) baseline.
Quantitative risk and fraud scoring engine (PD, EL, tiers, governance, FastAPI).
A trading algorithm for Crypto markets, automated and custom methods, utilizing CCXT for multi-plataform usage.
Python tool for portfolio risk analysis using Monte Carlo simulations. Calculates Sharpe ratio, confidence intervals, and maximum drawdown.
C++ Black-Scholes option pricer with Greeks, CLI, and Python visualization
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