ML Stock Market Prediction Algorithm using TaLib Library

Description

The model is trained on the basis of positive/negative daily returns. It is trained by using the 60 technical idicators provided in the TaLib Library.

Prerequisites

Requirements of libraries

• TaLib
• Scikit Learn

Usage

So far, I have usued all technical indicators provided by the library, this is of course not the best solution. But as I continue the project, I will optimise which technical indicators I use. With the current set, the accuracy of the prediction varies between 78-85%, depending on the chosen stock.

Strategy Returns for Google (GOOG)

Accuracy Report

Roadmap

• Find best set of Technical Indicators to maximize accuracy