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Legal Online CASINO: USA share markets

  Legal Online CASINO: USA share markets Background I was interested in this news. Tradeweb to extend trading hours the day after US election https://www.reuters.com/business/finance/tradeweb-extend-trading-hours-day-after-us-election-2024-10-31/ My thought Share markets has turned to be Legal Online CASINO. USA share markets’ rival will be real/online CASINO. How to invest good companies? Venture capital is the way, not to bet money on share markets. What will happen in share markets? Current share markets are not the field to invest good companies. They are the field to play “Old lady game”. Rich sells shares in high price and poor buy a small amount the shares. After stock markets crash, Rich buy the shares little by little in low price to collect them. This is the system, which is alike to a hamster wheel. One idea I have read the book “Just Keep Buying”. The book only told that Just Keep Buying the shares. I can write Python code and use GCP, so that the c

Correlation between NASDAQ price, Corn and Gold(Corr=0.945)

 I wrote Python code which shows Correlation between NASDAQ price, Corn and Gold(Corr=0.945). Corn and Gold are best mix I have found. https://gist.github.com/Kouhei-Takagi/a1a9b073f6cd6dacb7eb1ea871d8fd3c I changed some important parts. https://gist.github.com/Kouhei-Takagi/5becaf7c3a24d63ac9c56856e81297f2

Secret Code(correlation 0.95189 between Nasdaq and Commodities)

  2024/4/8.  Secret Code These days, I wrote some Python codes about searching correlation between Nasdaq and Commodities. The latest score is 0.95189 now(2024/4/8). I don’t open this code because I will use it for my trading assistant program. I hope I can be rich with the program… (Additional things...) I changed my mind, but it is only small... This is the result picture between Predicted model vs Actual Nikkei 225 Close price. 2024/4/17.  Additional result I lost $200(¥30000)... My bad point is too much believing my thought...

Cacao + Copper - suger = Nikkei225?

  (cacao_close ** 0.31) + (copper_close ** 0.46) - (suger_close ** 0.37) This shows highest correlation with Nikkei 225. The value is 0.631. I did great work! I uploaded whole code in below github. https://github.com/Kouhei-Takagi/PythonAlmostEveryday/tree/main/VSNikkei

Nikkei index price analysis with Python

  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

Python coding

 I did Python coding and wrote one article on Qiita. https://qiita.com/K-TKG/items/cb198a0f63f98003d961 This is written in Japanese, so that perhaps you are not able to read it... Parts of my code are below... https://github.com/Kouhei-Takagi/NIKKEI-Price