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: 9 days ago - Pushed at: 14 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: 17 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: 17 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: 10 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
