Invest suppoter

this is to help investors by training financial & trend information, evaluating the attractiveness of stocks and predicting the proper stock price

Sample companies are Starbucks, Amazon, Apple, Intel, Amd, Tesla

In pre-test, they are divided into two groups according to the stock trend.

Specially, Starbucks, Amazon, and Tesla showed the same tendency while the rest showed different tendencies.

The whole process is largely divided into four(so there are four folders).

1. Modeling : A step in designing six models depending on the learning rate and size of the data

2. Ensemble : This is stage where the six models derived from the modeling phase are assembled by creating forecasts for each share.

3. Stacking&Fitness_test : Depending on how the results are stacked and interpreted based on the six forecasts, the models are evaluated with a confusion matrix.

4. Opinion : The final two AI are now in the process of assessing the attractiveness of the current stock and proposing an appropriate share price

For other questions or those things, please contact leadbreak013@gmail.com