Financial Market moves along with the Mass Psychology. Universe has influence on Financial Market. Using Scientific Data and processing through the Software we can find out the Patterns.
Financial Astrology is a unique discipline that explores the correlation between celestial movements and financial markets. This course offers a comprehensive introduction to the fascinating world of financial astrology, providing students with the tools and knowledge to navigate the complex interplay between cosmic energies and economic trends.
Through a blend of theory and practical application, students will gain insights into the historical significance of astrology in financial forecasting and learn how to harness its potential in finding the patterns so that can predict the market trend.
Python, a simple yet powerful programming language, can be utilized in the field of financial astrology.
Visualization plays a crucial role in the field of financial astrology, and Python offers a range of powerful tools for creating impactful visualizations. By using Plotly students can generate insightful charts, graphs, and interactive plots to represent astrological data and financial market trends. Visualizations enhance the understanding of complex patterns, correlations, and trends, making it easier to identify and interpret astrological influences on the markets. Python’s simplicity and extensive visualization capabilities empower students to present their findings in a visually compelling and intuitive manner, aiding in effective communication of financial astrology insights to clients, colleagues, or stakeholders.
Note: This course is for educational purposes only and does not guarantee financial success or investment recommendations. It is designed to provide a holistic perspective on financial markets and complement traditional financial analysis.
Introduction
About the Course
Gann Story
Getting Planetary Data
Learn How to get the basic data for use
More on Planetary Data
Astrology Points
Visualizing Data
Moon Data Visualization. Download the attached Text file for easy reference.
Know the Data
Familiar with the Data used. Student can also download the file attached herewith