Predicting the behaviour of stock market is always an area of interest for researchers. With the advancement in techniques of machine learning and neural networks, it has started gaining more interest and attention because of the fact that if the direction of movement of stock market is predicted successfully then the investors will be guided in a better way.
Brief Description and Contents to be covered
Stock markets across the world imitate the real vacillations in the market economies of respective countries and hence, is responsible for the attraction of a large number of investors. The movements in stock markets depend upon the trend of fluctuations in the stock market in the past. Prediction of direction of stock markets’ movement is the most critical issue that influences the financial investors’ decision to buy, sell or hold the stakes of a stock. As the stock-market help the investors garner high profits, it also involves high risks. Hence investors are always concerned about the analysis and forecasting of the future trends of the stock markets in order to garner maximum profits.
A large number of attempts have been made to predict the behaviour of stock market but the difficulty of accurate forecast lies in the modelling of the dynamics of the market. As a result of the dynamism of the markets involved, it’s often difficult for a method to be able to consistently and correctly predict the market variations but satisfactory levels of success have been achieved by these models.
Contents to be covered:
Basic introduction of Stock-market
Limitations of existing work
Challenges
Methodology
Pre-requisites for the talk
Basics of Python
Basics of Machine Learning
Little knowledge of Stock Market
Time required for the talk
10-15 minutes
Link to slides
Will you be doing hands-on demo as well?
Yes, small demo
Link to ipython notebook (if any)
About yourself
I'm Prashant Pandey. I've deep interest in Data Science, especially in Python. I've been working in the domain of Data Science since one year now, and have completed several projects. Presently, I'm working on Stock Price Prediction.
Predicting the behaviour of stock market is always an area of interest for researchers. With the advancement in techniques of machine learning and neural networks, it has started gaining more interest and attention because of the fact that if the direction of movement of stock market is predicted successfully then the investors will be guided in a better way.
Stock markets across the world imitate the real vacillations in the market economies of respective countries and hence, is responsible for the attraction of a large number of investors. The movements in stock markets depend upon the trend of fluctuations in the stock market in the past. Prediction of direction of stock markets’ movement is the most critical issue that influences the financial investors’ decision to buy, sell or hold the stakes of a stock. As the stock-market help the investors garner high profits, it also involves high risks. Hence investors are always concerned about the analysis and forecasting of the future trends of the stock markets in order to garner maximum profits.
A large number of attempts have been made to predict the behaviour of stock market but the difficulty of accurate forecast lies in the modelling of the dynamics of the market. As a result of the dynamism of the markets involved, it’s often difficult for a method to be able to consistently and correctly predict the market variations but satisfactory levels of success have been achieved by these models.
Contents to be covered: Basic introduction of Stock-market Limitations of existing work Challenges Methodology
Basics of Python Basics of Machine Learning Little knowledge of Stock Market
Time required for the talk 10-15 minutes
Link to slides
Will you be doing hands-on demo as well?
Yes, small demo
About yourself
I'm Prashant Pandey. I've deep interest in Data Science, especially in Python. I've been working in the domain of Data Science since one year now, and have completed several projects. Presently, I'm working on Stock Price Prediction.
Github Link: https://github.com/Prashantpandey2398
Are you comfortable if the talk is recorded and uploaded to PyData Delhi's YouTube channel ? Yes, I will be comfortable with that.