How Do The Estimates for Next 5 and 10 Days Wprk.

Uses the machine learning algorithms of the WEKA package from University of Waikato, New Zealand in particular the RandomForest classifier.
Uses the following stock technical analysis tools from ta-lib libraries by TicTacTec LLC. to create various attributes.
- 3 Simple Moving Average: Periods 5, 13 and 19, days/weeks.
- MACD
- RSI
- Bollinger Bands
Uses the following classifications:
- strong buy - when the price change is greater than the average positive change
- buy - price change > 0
- strong sell - when the price change is less than the average negative change
- sell - price change < 0
What is shown in report:
- strong buy
- strong sell
Probabilities are computed using the confusion matrix.

Starting price data is selected using data from the next market day.
All price data for a day is an average of the open, high, low and close for that day.
Percentage change is computed using the final date's price divided by the starting price.
When a correct call is made
When the call is incorrect
- If a buy call was made and is incorrect then the symbol's inverse percentage change is used in the average.
- If a sell call was made and is incorrect then the percentage change is used in the average.
Market Percentage Change is defined as the average of both the DJIA and SP500 for the reporting period.