"Then I won't affect Lieshen's work. Let's talk in detail tonight."

After sending Yu Ping'an away, Han Lie finally couldn't hold back and punched fiercely.

This is different from making money in the market. Big A is there, and as long as you have the ability, you can withdraw money at any time.

But Byte's financing is different. Han Lie's foundation is in Shanghai, so he is really out of reach.

This time, there is a lot of mistakes to be made!

After walking around the office twice to relax his mood, Han Lie went to work immediately.

When I came to the Quantitative Department, I didn’t even say a word of gossip and started working on strategies directly.

The specific process is simple and boring. Basically, it uses different conditions to build an overall framework, including stock screening, buying conditions, selling conditions, fuzzy judgment, error correction mechanism, etc.

Finally, machine buying and selling was realized, and the winning rate was over 60%.

60% of operations make money and 40% of operations lose money. At first glance, it sounds simple. In fact, no company in the industry could do it until 2018.

Theoretically, the winning rate of quantitative trading can reach 55%, and if the amount of funds is large enough, this strategy can win stably in the long term.

The essence of quantitative trading is long-term certainty covered by a large number of transactions.

However, [certainty] itself is a false proposition in the stock market, and there is never complete certainty in the market.

Therefore, large funds and long-term trading should be used to cover all accidents from a probability perspective.

Can’t cover it?

That is inevitable, because influences from outside the market are always present, and these influences can neither be predicted nor quantified, and can only be dealt with passively based on the K-line pattern that emerges.

This part should be classified as a coping mechanism for fuzzy judgment and is the real core of a set of quantitative strategies.

If you don't do it well, those mechanical external logics won't even be able to outperform the market.

For example, there are too many people who can use the "First Board Strategy" that Han Lie is writing.

Buying conditions: The first daily limit within 30 trading days, the price is opened within the same day after the daily limit is closed, the stock price is strong, and the daily limit is closed for the second time in the day, you can buy before the daily limit.

Conditions for selling: If it opens lower and moves lower the next day, but does not launch a strong attack for a long time, it should be sold when it rises and falls for the second time; slightly, slightly, slightly.

Okay, I have written a lot of selling conditions, but there is no clear number, and it is impossible to have a clear number.

[Sell immediately with a profit of 5% or a loss of 3%]

Simple is simple, but this one-size-fits-all approach is doomed to lose a lot of opportunities, resulting in losses for those who can make money, and only 5% for those who can make 30%.

Therefore, fuzzy judgment must be used here to flexibly adjust according to different situations instead of mechanically setting a number.

As a quantitative engineer, the most important task is to write this part of the code.

It is a set of detailed rules for different situations, jointly building a flexible space that requires temporary judgment.

The better this part is done, the higher the stability of the entire model will be.

Yu Ping'an's own company is stuck in fuzzy judgment.

Anyone can write a buying strategy.

The operations of holding shares, adding positions, and selling are the essence.

The great thing about Han Lie is that he knows the overall style of the market for a long time to come and has skills that far exceed the current highest level of the domestic market.

Technology is always iterating, and the market is constantly evolving. His leadership is at the dual levels of time and space.

I was busy until 5:30 in the afternoon, and the framework was basically set up.

The algorithm code that can make fuzzy judgments is written by engineers. What Han Lie has to do is to give different weights to different detailed conditions.

For example, what kind of volume, what kind of price, what kind of trading fluctuation means a selling signal, what level of response different signals correspond to, and which signals appearing at the same time will completely trigger a selling operation...

It doesn't sound simple, but it's even harder to do.

Of course, in the end, I still couldn't stump Gua Bilie, and I completed 1/5 of the progress in one afternoon.

If nothing unexpected happens, in three days, the strategy will enter the actual combat testing stage.

After get off work, Brother Lie went to have a meal with Yunfeng's investment department, and during the dinner he easily talked about Byte's Series B financing.

The good news is that the Big Macs really have no intention of going all out to grab bytes.

Except for Shen Napeng of Sequoia who is particularly optimistic, none of them, including Sina Fund and Shunwei Capital, which finally invested in this round, seem to be very determined.

Han Lie has a great chance.

The bad news is that they describe Zhang Yiming as a very thoughtful person with a clear understanding of financing. Yunfeng's background can play a very limited role.
Chapter completed!