AAPL-Stock-Prices-Analysis

Tool to extract analytics about Apple stock prices - and to be able to predict future values using machine learning model(s).

Installing

pip install -r requirements.txt

Preprocessing

Running:

python "Data Preprocessing/Analytics Generation.py"

It will give you some additional columns needed for extracting analytics.

python "Data Preprocessing/Preprocessing.py"

It gives you analytics table.

Visualization

Jupiter notebook includes visualizations and histograms of data.

Machine Learning Models

• 1. Predicting Same Day Strategy:

  • Features used:

    • 'Open', 'Close', "High", "Low", "Adj Close", "Volume" and "privious_day_same_day_delta"

  • Models used:

    • Gaussian Naive Bayes (GNB) classifier.

  • Accuracy:

    • 0.507211538462 Accuracy

• 2. Predicting Next Close Strategy:

  • Features used:

    • 'Open', 'Close', "High", "Low", "Adj Close", "Volume" and "privious_day_next_close_delta"

  • Models used:

    • Gaussian Naive Bayes (GNB) classifier.

  • Accuracy:

    • 0.514423076923 Accuracy