- Calculate technical indicators from historical stock data
- Create features and targets out of the historical stock data.
- Prepare features for linear models, xgboost models, and neural network models.
- Use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets.
- Evaluate performance of the models in order to optimize them
- Get predictions with enough accuracy to make a stock trading strategy profitable.
Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features for linear models, xgboost models, and neural network models. Use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets. Evaluate performance…
anacaballero/ML-Finance
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features for linear models, xgboost models, and neural network models. Use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets. Evaluate performance…
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published