| vnpy/vnpy |
22,695 |
|
0 |
0 |
about 2 years ago |
1 |
March 29, 2016 |
7 |
mit |
Python |
| 基于Python的开源量化交易平台开发框架 |
| firmai/financial-machine-learning |
5,277 |
|
0 |
0 |
about 2 years ago |
0 |
|
5 |
|
Python |
| A curated list of practical financial machine learning tools and applications. |
| robertmartin8/PyPortfolioOpt |
3,936 |
|
2 |
10 |
over 2 years ago |
41 |
May 22, 2022 |
50 |
mit |
Jupyter Notebook |
| Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity |
| ranaroussi/quantstats |
3,932 |
|
0 |
26 |
about 2 years ago |
62 |
July 05, 2022 |
77 |
apache-2.0 |
Python |
| Portfolio analytics for quants, written in Python |
| portfolio-performance/portfolio |
3,638 |
|
0 |
0 |
3 months ago |
0 |
|
772 |
epl-1.0 |
Java |
| Track and evaluate the performance of your investment portfolio across stocks, cryptocurrencies, and other assets. |
| hudson-and-thames/mlfinlab |
3,567 |
|
2 |
4 |
over 2 years ago |
55 |
August 18, 2021 |
36 |
other |
Python |
| MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools. |
| ghostfolio/ghostfolio |
3,155 |
|
0 |
0 |
about 2 years ago |
0 |
|
77 |
agpl-3.0 |
TypeScript |
| Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍 |
| dcajasn/Riskfolio-Lib |
2,508 |
|
0 |
5 |
about 2 years ago |
43 |
October 04, 2023 |
0 |
bsd-3-clause |
C++ |
| Portfolio Optimization and Quantitative Strategic Asset Allocation in Python |
| rotki/rotki |
2,481 |
|
0 |
0 |
about 2 years ago |
0 |
|
326 |
agpl-3.0 |
Python |
| A portfolio tracking, analytics, accounting and management application that protects your privacy |
| ZhengyaoJiang/PGPortfolio |
1,386 |
|
0 |
0 |
over 4 years ago |
0 |
|
50 |
gpl-3.0 |
Python |
| PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf). |
