Forecasting Stock Market Trends with Satellite Imagery Analysis

• Tech Stack: Python, NumPy, Pandas, SciPy, Matplotlib libraries, and Jupyter Notebook
• Paper publication URL: Link
• Github URL: Project Link

Analysing Fractals to predict future stock price by using past data.

Implementation:

Step 1: Take data of past stock prices in form of CSV file.

Step 2: Calculate statistial values such as variance, mean and standard deviation by using Scipy Library which deals with statistics in Machine Learning.

Step 3: Perform Time series analysis ( Series of data points indexed in discrete time order ) on data by applying MSM model to predict future stock price.