fed mit digital currency- Top Knowledge

If you are wrong, because your position is small and the loss of a single stock is relatively small, it is easy for you to cut your meat, because you don't feel bad, but if many stocks cut their meat like this, it will be a lot of money, and it will be a big loss.Don't feel good when picking stocks. After buying a bunch of stocks, the position of each stock is just a scratch. Even if you see it right, you can't make a lot of money if it rises sharply.At the late stage of investment, when your understanding of investment and the logic of stock market operation are very clear, you will take the initiative if you are few but fine, and you no longer need to forcibly control your behavior. At that time, you will naturally choose only those pearls in the crown.

In the stock market, many people have greedy ideas. Especially, when their investment logic is not particularly clear, many stocks will be bought if they are grasped correctly. Buying and buying, I found that my position was full, but a single stock only had a little position.Think about it, at that time, you can get rid of the same workplace as cattle and horses, and get rid of the infinite complexity of life. You don't have to bow to anyone, you don't have to smile, and you can travel around the world and do anything you want with a mobile phone.

If you buy everything, even if you don't buy a lot of shares, it will cost a lot of money together. The downside is that when the market plummeted, the funds you could have gradually increased your positions are now taken up and gone.Your idea may be, anyway, if the east is not bright and the west is bright, it won't be a loss. If you think about it the other way around, you may feel terrible. It's not dark in the east and dark in the west, and it will always be dark, especially when the market falls.At the beginning, the granularity research is coarse, it doesn't matter, and it is slowly eliminated. For example, you can screen by industry, then remove some according to business model, and then remove some according to assets and liabilities, etc. In each round of screening, only the best ones are retained and the poor ones are removed.