Framework for testing, validating and brainstorming
- Numpy
- Pandas
- Statsmodels
- matplotlib
- pywt
python main.py
+-d *STOCK_NAME*
+-m *MODEL_NAME*
- On command line, run
python main.py -d GOOG -m ARIMA
- GOOG is the name of the csv data in
Data
directory; ARIMA is the name of the Model class inModel
directory.
- On command line, run
python main.py -d GOOG -t wavelet
- wavelet is the name of the transformation class in
Transformations
directory.
- Create a new model class in
Models
as a Python file
- Create a new Transformation class in
Transformations
as a Python file
- Add the csv file into the
Data
directory