Fariz Ihsan Yazid Blog

On week five our team still doing some research on algorithms that are going to use, then our team starting to confused because each of us did not familiar with the meaning of stock detail such as (price, open, close, high, low, and volume) data.

next, on week six we already knew what stocks detail, then the next problem came into us which were the other terms that very strange to us the adj close and open price, etc. This problem needs to be solved then we research more on how to predict stock data with simple logic.

In week seven our team felts that we already knew how to predict the stock price by saw the trend, also we decide to not make it into machine learning since it requires more algorithms on the machine learning, and also we used the library rather than created from scratch since its simple.

The on week 8, we continue our research by reading lots from medium.com, towarddatascience.com,and many article about predictions of stock. After spend lots of time to research and reading, we decide to use Random Forest Algorithms and at the end our team still unable to code since lack of understanding andd choosing algorithm randomly.

On week nine we finally found an article from https://towardsdatascience.com/https-medium-com-vishalmorde-xgboost-algorithm-long-she-may-rein-edd9f99be63d and it show an image that explainning lots of algorithms here is the picture:

Then we decided to use xgboost since it has lot references.