How To Discriminate Between Stocks Bought By Institutions?

　　 Investor Stocks are often especially concerned about stocks bought. Take the Shanghai composite index down 1.87% in February 5th as an example. On the same day, 3 institutions bought Beijing CREE. The stock price (weighted average value below the same day) rose the following day, and the two agencies bought the essence pharmaceuticals on the same day. But 3 days later, both stocks rose. How does institutional intervention affect stock prices? How can investors apply public information to guide their operations? We can find out large probability events and rules through statistical historical data, which will be useful for operation.

In the interpretation of the Shenzhen Stock Exchange, special institutional seats have been interpreted as the trading seats used by institutional investors such as funds, brokerages, social security funds, QFII and so on. Such investors have strong research and development capabilities and large amount of capital, and their trading trends are regarded as mainstream funds. We analyze the stocks bought by more than two institutions at the same time, which can reflect the consistent behavior of the institution and find out the following trend of stock since 2010. Such sample analysis can arrive at a general qualitative conclusion. If time is traced too long to history, the market environment is different. The conclusion may not be suitable for this year's situation. It is better to analyze it qualitatively and guide the operation of institutional intervention in time. Agencies intervene in the short term icing on the cake

From the beginning of this year to February 10th, there were 43 stocks in the Shanghai and Shenzhen two cities in a single day buying direction, and the data statistics showed that the share price rose on the day of institutional intervention, and the day after market continued to rise one day was a big probability event.

There are 21, half of the sample. shares On the day of institutional intervention, the stock price rose and the stock price rose before the price rises, deviating from the value of more than 7%, or the price increase, causing a turnover rate of over 20% and an amplitude of 15%. All of them will meet the requirements of the exchange for the sale and purchase of seats. Of the 21 stocks, 14 stocks, 2/3 of the shares, continued to rise the next day. The 14 stocks opened at 13 higher the next day. The average trading price of the next day was 9, and the average price of the stock was more than the opening price.

In the 14 stocks that rose, the highest opening rate in the next day was the Hong Kang frequency conversion of the gem in January 27th. In the previous trading day, there were 5 agencies involved in the buying direction. Such data attracted the attention of the market, and the stock price was 8.42% higher and the opening up trend was higher the next day, so that the agencies involved in the previous day had the chance to escape. This also showed that the market operators were focusing on the data of the billboard, and the weighted share price rose 8.57% throughout the day. The low rise is the January 26th Daye special steel counter trend. Rise 5.32%, on the same day, 2 organizations bought and continued to open 0.34% higher the next day, rising 4.96% throughout the day.

When applied to the future operation of investors, when the stock price rises have reached the conditions of announces the billboard, if there are two institutions to announce the buying direction of the seats that night, the probability that the stock price will continue to open high next day will be 2/3, and most of the stock price will be higher than the opening price. Investors holding such stocks do not have to rush to sell the next day, and will have higher prices all day, and then sell better. But this trading day is also the best selling day, because the third day statistics are very ugly.

Of the 14 stocks that had risen in the first two days, only third of the third stocks rose, accounting for 1/3 of the total. That is, the remaining 2/3 stocks fell on third days, so the next day is the best time to sell.

The other side of the data can also guide investors to buy time. Some of the hot money is bought and sold tomorrow, and the holding time is longer. The stock price also has certain support. Therefore, when an investor discovers that the agency will buy the data, other investors will find this data. Everyone will catch up. Next day, the stock price is high. That is the inevitable thing. Investors will buy higher or lower prices and boost the stock price. Such a market behavior, just let the day before the car involved in the venture capital is in full bloom, take the opportunity to sell away. The next day, the enthusiasm of the market cooled, and the day before the buyer found that they did not quit strongly, they would cause the share price to fall. Why buy a high price on the next day and suffer a loss on the other day when the share price falls.

Institutions are an important driving force for the stock market, but institutions are only market players, and can not fully dominate the market. In 2008, most of the fund's mistakes were evidenced. Similarly, 43 of the stocks with only two or more institutions, stock prices fell on that day, institutions entered or swept tickets, or in order to maintain market capitalization, and maintained the day's fund ranking to make a buying and buying operation.

In the 43 stocks, there are 21 stocks listed on the list because of falling stock prices. Although there are institutions buying, only half of the stocks that are rising next day and the other half continue to fall, most of which have no guiding significance in the case of half male and half female counterparts, but it can still be explained that, for example, powerful organizations can not stop the surging selling orders, and sellers will naturally drop the share price if they are more than sellers. The day before the day, the organizations that support or check the bottom of the stock market face the decline in the share price, and doubt whether the buying is correct. If the decision to cut off the stock is made, a small sale will lead to a fall in share price, which will strengthen the stock price downtrend.

Generally speaking, most of the sellers are the main reasons for the fall in share prices. No matter whether there are any agencies involved in the same day, the probability that they will continue to fall next day will be around 50%. The next day, the probability of low price opening will be 60%. In these low open stocks, 62% of the stocks will be lower than the opening price in the next day's trading. Investors in the operation, in the face of falling stock prices, even if the agency involved in the day, the next day, the opening must also sell, because it is likely that the average transaction price is lower than the opening price, sell at the opening is a good choice. For example, Sheng Yi Technology dropped 10.03% in February 5th, and dropped 1.58% on the first day of the next day, showing a trend of low opening and low throughout the day. The average trading price of the whole day was 2.55% lower than that of the previous close, and the difference between the opening price and the average price was 1%.

Therefore, institutional buying is not always a panacea. The key is to distinguish between investors.