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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.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.The logic of profiteering is less but better.Stock selection is to keep going through the sieve, from big holes to small holes, from coarse mesh to fine mesh, over and over again. Until the finest and highest quality stocks are screened out.

If you want to control the smoothness of the overall account, the position can be appropriately small, such as a medium position, and some funds can be reserved for better opportunities. In this way, you can attack and defend. You expect to go up, but you are not afraid of going down, because you are still a potential buyer, and you can do it more easily.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 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.