Best Stock Exchange Prediction in AI 2024 – Global Knowledge
INTRODUCTION
This project is designed for stock exchange prediction on the basis of historical data. Here You Will Get The Knowledge of Best Stock Exchange Prediction in AI 2024 – Global Knowledge
EXPLAINATION
We are predict change in stock market on the basis of historical data of any particular department and it predict the change in price we have use linear regression model from Sklearn package because output depends on more than one independent variable . we have collected real time data from HBL bank of last 30 days.
INSIGHT
Libraries Used:
DATA READING CODE:
Algorithm used:
LINEAR REGRESSION
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Meaning of Regression.
Meaning of Regression. Regression attempts to predict one dependent variable (usually denoted by Y) and a series of other changing variables(known as independent variables, usually denoted by X)
LINEAR REGRESSION:
Linear regression is a way of predicting a response Y on the basis of a single predictor variable X.it is assumed that there is approximately a linear relationship between X and Y.
- EQUATION OF LINEAR REGRESSION:
- The equation has the form Y= a + bX +€, where Y is the dependent variable (that’s the variable that goes on the Y axis), X is the independent variable (i.e. it is plotted on the X axis), b is the slope of the line and a is the y-intercept and € is the error in the estimation
We have float and string value in our data set the code as shown in figure work as change value string to float and float to string.
RESULTS.
This is not appropriate results
Applications:
- This system can be used in Stock Market to observe change in price.
Conclusion
Our System is ready to predict the change in price of stock market but as I mention above in result that this is not appropriate as expected.
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