Financial Dataset Generator Easy-to-use dataset generator for applying machine learning on financial markets Features - You can run it fast, and it is easy to use. - There are no complexities and no database usage in this project. Even dependencies are a few. - It is easy to modify and customize. - This project generates practical datasets for data scientists. - You can read the code for educational purposes. Run 1. Clone the repository. 2. Run pip3 install -r requirements.txt. 3. Put your Nasdaq Data Link API key in the APIKEY file. 4. Run python3 main.py. This will generate train set and test set for you. Config For the configuration, you can: - Change config.py constants. - Define new indicators in indicators.py. Config.py Description - PAIRNAMESLISTWITHSOURCE: What's your machine learning model input? - TARGETPAIRNAMEWITHSOURCE: What's your machine learning model output? - SMALENGTHSLIST: Do you want to generate a dataset with some moving averages? - APPLYFLIPAUGMENTATION and APPLYNOISEAUGMENTATION: Using data augmentations - AUGMENTATIONNOISEINTERVAL: Set the amount of augmentat

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