Breakout_Strategy_Project

In this project, we will implement the breakout strategy.

We will find and remove any outliers and will test to see if it has the potential to be profitable using a Histogram and P-Value

For the dataset, we'll be using the end of day from Quotemedia.

This proyect is the second one in the Artificial Intelligence for Trading Nanodegree from Udacity.

Documentation

All the documentation for this proyect is included in Lessons 9 to 14 of the Artificial Intelligence for Trading Nanodegree from Udacity.

Clone the repository in your local machine, type in terminal:

$git clone https://github.com/PachiCartelle/AIforTradingND_P02_Breakout_Strategy

$cd AIforTradingND_P02_Breakout_Strategy

Create an environment in Anaconda with the command:

$conda create --name=yourNewEnvironment python=3 anaconda

$source activate yourNewEnvironment

Fire the Jupyter Notebook:

$jupyter notebook

And you are ready to start with the Notebook.

All dependencies needed are incorporated in the requirements.txt file.

The content of this repository is licensed under a Creative Commons Attribution License