Summer-project

Since `v1.0` we have developed a new method of Stock Market Prediction using the `Keras` libraries `LSTM` Model.

The `API` has also been updated to include these changes.

The next **major** update will entail document changes and maybe a deployment to `repl.it` or `Heroku`.

First Release!

Since `v0.1a`, we have made a few developments in terms of software.

Errors

We have been ironing out errors in the code and making sure that the `Linear Regression` and `Support Vector Machine` algorithms work as expected.

New Additions

We have developed an API and website in `Flask` that runs on `https:\\localhost:5000`. The api can be used to output the predictions.

Future Development

We are going to integrate an `LSTM` algorithm + some other algorithms and iteration to find the best prediction possible. This is expected to be our `v2.0` release. The `v1.X` updates will mainly include website changes and documentation changes.

Stock Anlaysis

What works?

**Disclaimer:** The project has only been active for around 2 days with under 12hrs of work.

* `Stock,py` works with a function named `getStock`. By entering the 'companyName' you can retrieve the stocks and a plot for the stocks from the previous year. *(To plot the results set the parameter 'plot' to true and 'mavgPlot' to true as well in order to plot the *Moving Average* as well.

* `SVM Predict.py` does work, however in pre-release `v0.1-alpha` it is not yet a function however it shall be in the `v1.0` release.

* `Predict.py` does not work and will need to be improved and fixed.