I took the liberty of trying to mention how securities companies use big data from the perspective of a shareholder. The source of data can be mainly the analysis of customer behavior data.
First, it can be mined from the data of customer transactions.
1, the customer has made a transaction.
2. High working frequency
3. Long-term holding.
Customers either make money or lose money.
5. Customers put it in stock selection.
? For the above situations, the simplest thing is to play the latest news about securities and industries for users to read.
? Secondly, with the help of securities sector classification, the stocks traded by the above customers belong to the same and related sectors, and they will pop up to users in the form of small windows or notices on mobile phones and online trading terminals, and indicate "I have selected stocks belonging to xx industry and having good investment prospects for you, please keep them!" . This level is superficial, and a little deeper, we can establish a stock selection model, further analyze the fundamentals and technical indicators of listed companies in the recommended sectors and stocks, and select stocks to push to users.
We can further develop a user's trading data, dig a few shovels, and then analyze its historical trading records, and combine the fundamentals, technical trends and time of specific stocks to sum up the operation mode with high user success rate, thus providing users with investment strategies that he never thought of. Do you think it is sweet enough? (Of course, users who have lost many battles may really be unable to sum up the basis of many victories. Fortunately, I have a record of winning, although not many, hehe)
If the policy allows, when ta is ready to trade a security, it can prompt: Your choice is too wise. Today, X users of our company feel the same way and bought this securities! In other words, you really have a unique opinion, and today you are the first lover of this stock! Let ta consider whether his transaction is appropriate from another angle.
Second, the statistics of customer transactions form data analysis charts and provide them to investors as value-added services.
Can provide a variety of analysis angles for investors to choose from. For example, from the types of securities, small and medium-sized board, growth enterprise market, bonds, funds, wealth management products and other classified statistics and display the trading volume and profit-loss ratio, so that investors can know what kind of securities they have succeeded in; From the time point of view, monthly, plus important holidays, see which month makes more money and is lucky; Can also be entrusted by computer software, mobile phone orders, telephone entrustment, etc.
We can analyze investors' investment hobbies, such as coal, high technology, agriculture, forestry and animal husbandry. , the form is chasing up, bargain-hunting, short-term operation, long-term holding and so on. Which aspect of income is large and which aspect of income is small.
Third, (refer to the previous article) turn the refined investor's investment strategy with high success rate into product form.
According to its core elements and characteristics, give a name, such as: the daily death squad strategy, APEC blue chip selection strategy and so on. These strategic products can be put on public platforms for others to choose to use or buy. Of course, if it is really good, you can consider charging. Then, label these strategies as "xxx users have chosen" to let customers find a sense of identity.
It can also be divided into "radical youth", "leisurely years" and "leisurely twilight years" from the age, so that we shareholders can find a correct position ourselves.
Fourth, non-transactional value-added services.
1, safety reminder of trading place. You can get the customer's geographical location from the IP address of the computer sending the transaction and the location information of the mobile phone, and compare it with the address in the customer's basic information (or the address in day trading) to remind the customer to pay attention to account security when not in the trading place. (This is an imitation of QQ login reminder. Haha)
2. According to point 1, if customers are in other places, they can automatically push local weather forecast, accommodation recommendation, snacks, tourist attractions and other information. Oh, if there are local outlets, you can also push them to customers. It is better to enjoy some treatment for them.
Well, I've thought so much, and the rest of you should start to expand your ideas! Hey hey.