Stock-Market-Probabilities-Deep-Learning

Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen.

Requirements

• Python 3.*
• Tensorflow 1.3
• Pandas
• tqdm
• Numpy
• Six

Adjusting parameters

Before you create your dataset file and train your model it's adviseable that you adjust the parameters first. This you can do by editing the file config.py. If you don't understand a parameter it's best to leave it alone.

When running a script you can always pass the parameters directly and override the config.py parameters. To get to know what the parameters are you can type python3 script_name.py -h.

Creating dataset file

As a default I use a csv file from Yahoo Finance of NASDAQ, you can see the format of the file and use the same format if you want to use your own dataset.

Run python3 create_data_set.py. This will create a file called data_set.pkl. This script does everything that you'll need.

Training

To train a model you firstly have to create a dataset file. After that it's as easy as running the script python3 train.py

Todos

• Evaluation script
• Fix a better dataset

Other

Made by Oliver Edholm, 15 years old.