digital money technology, Reviews

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.For this great goal, keep fighting.

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.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.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.

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.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.