Predict Stocks and Invest in the Stock Markets using Machine Learning in Python
Shivam Dhanadhya (~shivam85) |
Description:
- My poster covers the basic idea of the stock market and hedge funds. Explains in brief about the same.
- Puts a light on how humans have been using technical indicators to invest in the stock market.
- Emphasises the comparison between the results observed when the same technical indicators are used along with the manual strategy of investment and machine learning in python strategy of investment.
- Provides the graphical and numerical comparisons between the returns on investment between the manual and Machine learning in python approaches.
Prerequisites:
- Basic knowledge of ML related Python libraries.
- Low-level understanding of how hedge funds and stock-prices works.
Content URLs:
Github link for proposed poster: https://github.com/shivamsdhanadhya/poster_draft
Speaker Info:
I work as a Software Engineer at Veritas technologies, India, also I am a graduate student (OMSCS) at the Georgia Institute of technologies. I have completed a course on Machine Learning in Trading. I have done some hands-on implementation on stock investment strategy and did a comparative study on stock investment using manual strategy and using machine learning algorithms implemented in Python.
Speaker Links:
Personal Website: https://shivamsdhanadhya.github.io/
Github: https://github.com/shivamsdhanadhya
LinkedIn: https://www.linkedin.com/in/shivam-dhanadhya/