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GitHub topics: quantitative-investment

skfolio/skfolio

Python library for portfolio optimization built on top of scikit-learn

Language: Python - Size: 122 MB - Last synced at: 5 days ago - Pushed at: 10 days ago - Stars: 1,466 - Forks: 132

iniself/backtrader_bokeh

Use bokeh as the backend, you will get richer plot effects for backtrader

Language: Python - Size: 396 KB - Last synced at: 13 days ago - Pushed at: about 2 years ago - Stars: 33 - Forks: 11

iniself/noba

Noba not only backtrader as a quantitative investment platform, but also visualized using bokeh, which can get richer plot effects. Additionally, Noba also provide 'Ioc Container', 'Event System', 'Database Abstraction Layer', 'Pipeline System' and more.

Language: Python - Size: 919 KB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 94 - Forks: 22

Aditya-dom/Quantfinance-with-backtesting

Q-finance approaches..

Language: Python - Size: 7.91 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 2

hackerharsh-77/Quant-Equity-Trader

This projects aims at creating a trading bot which can buy and sell equities in a given time frame based on certain benchmarks

Language: Python - Size: 40 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jehung/universal_portfolio

Investment comparison tool using Python

Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 16 - Forks: 3

PyPatel/Machine-Learning-and-AI-in-Trading

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Language: Python - Size: 234 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 358 - Forks: 128

PyPatel/Options-Trading-Strategies-in-Python

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

Language: Python - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 624 - Forks: 230

Elio-Liu/TMFSS

Transformer-Based Multi-Factor Stock Selection

Language: Jupyter Notebook - Size: 73.2 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

DeepAlchemy/HALM

💰 HALM: A Highly Adaptive Learning Model for Portfolio Decision Making(投资组合决策的高度自适应学习模型)

Language: Python - Size: 1.28 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Maiae/ETF-SIM

A Single Index Model shiny app for Australian ETFs

Language: R - Size: 257 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 8