Introduction to TradingBot project
Overview:
This project is meant to see which Deep Neural Networks is better as a predictive AI. We have chosen two cryptocurrencies’ data as crypto is very volatile. We are limiting to just Bitcoin and Ethereum data due to the limitations of training since we are doing everything locally. The overall thought of this project is to implement couple Deep Neural Networks, then compare their outputs. Finally, combine the Deep Neural Networks into one model and compare the combined model output.
This project is built in modularity:
Step 1: Data Collections
We are utilizing Yahoo Finance to gather the data
Step 2: Data preprocessing
Building couple methods to clean, normalize and preprocess the data
Step 3: Building the models
Future work: Will connect the Models to a live trading view to see if the models actually performed well or not