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📈 master-thesis



0. Setup all parameters as you'd like them in setup.py
You find available lists of tickers in ticker_lists/ or you can create your own.


1. Download stock data from Yahoo Finance
Downloads stock data into stock_data/

python download_stock_data.py

2. Generate stock graphs
Generates images into stock_graphs/

python generate_graphs.py

3. Train the model
Use optional parameter RESUME if you'd like to resume from a checkpoint. RESUME is a string with the name of the file you want to resume from inside model_training_checkpoints/ . Omit if you want to do normal training.

Finished model is saved into models/ .

python train_model.py [RESUME]

4. Test the model
Tests the model from setup.test_model_name . setup.pretrained_model_name needs to correspond to the same pretrained model as the model that is tested. You find the model name inside models/ .

python test_model.py

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