2022/1/16. Nikkei index price analysis with Python
I wrote some Python codes for analysis about Nikkei index price.
The time period is 2021/10 - 2021/12, and I uses Nikkei index price, Volume and Selling Volume as parameters.
The codes are on GitHub.
https://github.com/Kouhei-Takagi/NIKKEI-Price
PPDAC is important for this task, PPDAC is consisted from Problem, Plan, Data, Analysis and Conclusion.
{Ploblem}
I want to know what happened about movement of Nikkei index price.
{Plan}
Can I know it from some parameters?
{Data}
I collected data with some Python codes.
{Analysis}
I visualized the data and thought about it.
2021/10
2021/11
2021/12
These figures show that (A) Volume and Selling Volume had strong relationships, and (B) perhaps Nikkei index price downed after 5 -10 day later when Selling Volume increased.
{Conclusion}
Not secret.
From thinking about above (A) and (B), Nikkei index price may be difficult to fall down or raise up.
I thought that (A) means professional investors are fighting each other and small investors can’t get money from Nikkei market.
Because (A) shows that a lot of rates of Volume were occupied by professional’s tradings.
(B) shows that markets were effected by professional’s tradings.
Thus, (A) and (B) show that it was in box range ,and Nikkei market was not fun for small investors.
If (A) and (B) keep on, Nikkei market will be in box range.