[P000-009] analysis module-four categories

Simply dividing the analysis module into values and prices based on actual practices is not accurate. If a company is cheap, it is definitely not equal to making money. The stock corresponding to the company will not rise or fall because the company is making money (losing money). Of course, in the long term, the stock price is directly proportional to the company's benefits. That is, the errors in the (short-term) Market and the (long-term) market are true.

However, this expansion is complicated. Abstract modeling requires simplicity and simplicity.

The company's strategy, market environment, and investment trend are all blocked. What we need now is only some data.

1. The data can be divided into two parts by source

1. From the company

2. From the (secondary) Market (transaction market)

2. According to the time continuity, it can be divided into two parts:

1. Static (what is it) that reflects the current status)

2. consistent and dynamic predictions for the future (what will happen)

Its Cartesian product is 4

That is, it can be divided into four categories.

1. reflect the current business status of the company (mainly the current three financial reports and comparison with/non-industry peers)

2. Reflect the company's future development expectations (combined with history, industry, and Region)

3. Current stock price (interest rate, PE, PB, etc.) of the company)

4. Future operation trend of the company's corresponding stocks (too many clutter, which can only be roughly determined by chip concentration and graphics for the time being)