what can i buy with digital currency Top searches

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 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.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.

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.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.The logic of profiteering is less but better.

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.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.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.