| quantopian/alphalens |
2,605 |
|
14 |
4 |
about 3 years ago |
9 |
April 27, 2020 |
42 |
apache-2.0 |
Jupyter Notebook |
| Performance analysis of predictive (alpha) stock factors |
| margelo/react-native-graph |
1,715 |
|
0 |
2 |
about 2 years ago |
4 |
June 07, 2023 |
34 |
mit |
TypeScript |
| 📈 Beautiful, high-performance Graphs and Charts for React Native built with Skia |
| gregyjames/ZenithTA |
212 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
mit |
Rust |
| A high performance python technical analysis library written in Rust and the Numpy C API. |
| eduardosasso/bullish |
181 |
|
0 |
0 |
almost 3 years ago |
0 |
|
3 |
mit |
HTML |
| Stock market performance insights and trends in your inbox every day. |
| euclidjda/value-investing-studies |
59 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
mit |
R |
| Data Analysis Studies on Value Investing |
| lequant40/portfolio_analytics_js |
29 |
|
1 |
2 |
almost 9 years ago |
1 |
May 26, 2017 |
0 |
mit |
JavaScript |
| A JavaScript library to track and measure stock market portfolios performances. |
| longfly04/A-Stock-Prediction-System-with-Deep-Learning |
26 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
|
|
| Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance of predictions. |
| crownpku/hk_ipo_prediction |
20 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Predict first day performance of Hong Kong IPO stocks: A pipeline example of machine learning projects |
| nerevu/prometheus |
18 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
|
Python |
| A flask web app that analyzes your stock portfolio performance, optimizes your asset allocation, and provides performance enhancement alerts. |
| Skumarr53/Stock-Fundamental-data-scraping-and-analysis |
14 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Project on building a web crawler to collect the fundamentals of the stock and review their performance in one go |
