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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.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.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.The logic of profiteering is less but better.Investing requires time and patience, and making money requires more experience and thinking. Although it is difficult, why do countless people want to come to this xiuluo farm? It is because the rewards are infinite after the accomplishment of positive results. Once the road is clear, you will feel enlightened and enter a state of flow.

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.Some people will ask, how much is less? Personally, if your capital does not exceed 1 million and you hold up to 5 or 6 stocks at the same time, that's enough. Even if you average the score, each stock will have nearly 200,000 funds, and 20% of the positions will be enough, regardless of the profit value of a single stock or the contribution to the portfolio.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.