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
2017/11/9. Who are end buyers in Tokyo Stock Market?
1. Professional companies
2. Professional individuals
3. Amateur companies
4. Amateur individuals
I think the end buyers are 4th members.
So I have to keep on watching 4th members’ actions, but there is another question, how to find the way?
I am watching Twitter and thinking about markets.
I rethink about the 4th members, having long experience(More than 3 years) or not, and having IQ over 120 or not. (I don’t think the person whose IQ score is under 120, is bad person. I think that IQ under 120 will be targets by 1st, 2nd & 3rd members.) And it is said that 90% of individual investors lose their money in 3 years, in Japan.
(I think that experience is often more than high IQ. But experience has to be rewritten.)
1. IQ over 120 & Long experience(5%):Main winners
2. IQ over 120 & Short experience(5%):Half winners and half losers
3. IQ under 120 & Long experience(20-45%):Small winners and almost losers
4. IQ under 120 & Short experience(45-70%):Main person of the end buyers
And I feel that IQ under 120 & Long experience persons is losing money by this bull Tokyo stock market.
Because stock selling by credit is dangerous in bull market. Why they sell by short is their long experience, “This bull market doesn’t keep long, the bear will come in tomorrow.”
So this bull markets is killing the person who can’t read the trend by long experience.
This killing will keep till December. (This is only my prediction. And I very often take mistakes!)
(My prediction is below…
Step 1. Bull is coming till this December, and it kills 3rd, and please 4th.
Step 2. Bear’s face shows in top window in January, but 4th people doesn’t realize and buy by their best.
Step 3. Bear jump into markets in February, and kills 4th people.)
# I never feel ill of the person who has low IQ, and I think & feel that I can learn from every person. If you feel bad about this article, I am sorry…
1. Professional companies
2. Professional individuals
3. Amateur companies
4. Amateur individuals
I think the end buyers are 4th members.
So I have to keep on watching 4th members’ actions, but there is another question, how to find the way?
I am watching Twitter and thinking about markets.
I rethink about the 4th members, having long experience(More than 3 years) or not, and having IQ over 120 or not. (I don’t think the person whose IQ score is under 120, is bad person. I think that IQ under 120 will be targets by 1st, 2nd & 3rd members.) And it is said that 90% of individual investors lose their money in 3 years, in Japan.
(I think that experience is often more than high IQ. But experience has to be rewritten.)
1. IQ over 120 & Long experience(5%):Main winners
2. IQ over 120 & Short experience(5%):Half winners and half losers
3. IQ under 120 & Long experience(20-45%):Small winners and almost losers
4. IQ under 120 & Short experience(45-70%):Main person of the end buyers
And I feel that IQ under 120 & Long experience persons is losing money by this bull Tokyo stock market.
Because stock selling by credit is dangerous in bull market. Why they sell by short is their long experience, “This bull market doesn’t keep long, the bear will come in tomorrow.”
So this bull markets is killing the person who can’t read the trend by long experience.
This killing will keep till December. (This is only my prediction. And I very often take mistakes!)
(My prediction is below…
Step 1. Bull is coming till this December, and it kills 3rd, and please 4th.
Step 2. Bear’s face shows in top window in January, but 4th people doesn’t realize and buy by their best.
Step 3. Bear jump into markets in February, and kills 4th people.)
# I never feel ill of the person who has low IQ, and I think & feel that I can learn from every person. If you feel bad about this article, I am sorry…
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