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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.Even if there is still some money, which one do you add in the face of so many positions? If you are really given a chance to increase your position by a big drop, you can't achieve the purpose of spreading the cost at all with what little money you have left. Don't say it doesn't make sense to reduce the cost of the whole account, even for the stock you added, it doesn't help much.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 early stage of investment, few but fine are passive and need your control. Although you don't know what's right yet, you already know what's wrong, so it will be hard to control your behavior with willpower, which is certain and insurmountable.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.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.

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.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.