ibkr-options-volatility-trading
MachineLearningStocks
| ibkr-options-volatility-trading | MachineLearningStocks | |
|---|---|---|
| 3 | 57 | |
| 129 | 1,658 | |
| 0.0% | - | |
| 0.0 | 0.0 | |
| about 1 year ago | 11 days ago | |
| Python | Python | |
| MIT License | 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.
ibkr-options-volatility-trading
MachineLearningStocks
- Scikit-learn Stock Prediction: using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained Other Models - star count:1520.0
- Scikit-learn Stock Prediction: using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained Other Models - star count:1411.0
What are some alternatives?
automating-technical-analysis - Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.
vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
optopsy - A nimble options backtesting library for Python
zvt - modular quant framework.
robin_stocks - This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
pybroker - Algorithmic Trading in Python with Machine Learning
volatility-trading - A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting