Stock-Prediction-Models
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| Stock-Prediction-Models | SectorTradingAlgorithm | |
|---|---|---|
| 215 | 5 | |
| 6,620 | 457 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 1 year ago | almost 2 years ago | |
| Jupyter Notebook | JavaScript | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stock-Prediction-Models
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Show HN: I discovered a trading algorithm that returns ~24.85% annually
Unrelated, but it's surprisingly hard to get backtesting right.
I found a bug[1] in a popular (4000 star) stock forecasting model on github where future knowledge subtly leaks into the training data. People seem to keep using the project though!
[1] https://github.com/huseinzol05/Stock-Prediction-Models/issue...
SectorTradingAlgorithm
What are some alternatives?
Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf
Alpaca-API - The Alpaca API is a developer interface for trading operations and market data reception through the Alpaca platform.
CryptoGPU - Cryptocurrency prices analysis
ubique - A mathematical and quantitative library for Javascript and Node.js
Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
SectorTradingAlgorithm
ent.hpp - A header-only library that applies various tests to sequences of bytes stored in files and reports the results of those tests. The class is useful for evaluating pseudorandom number generators for encryption and statistical sampling applications, compression algorithms, and other applications where the information density of a file is of interest.
trading-bot - Stock Trading Bot using Deep Q-Learning