A module consisting of various methods used to predict stocks and corresponding statistical analyses thereof.

IndicatorsStrength.py: Consist only of the the adx indicator and the vortex indicator. This script would be used to implement a simple trading strategy: use the vortex indicator to evaluate whether the trend is bullish, then use the adx indicator to evaluate whether the trend is strong--buy for one day and sell the next on the basis of a risk criteria, given by the textfile 'SearchCriteria.txt'

perceptron.py: creates a set of neural networks trained on adx, vortex, price change, and volume for consecutive periods within a given date range and evaluates how accurately said network predicts price changes the day after each period from which the training data was extracted. Applied to the same set of stocks that IndicatorStrength.py is.

AnalysisResults.csv: contains the results of whichever analysis method is most-recently applied (currently IndicatorStrength.py)