Counterattack starts with controlling probability

At 10:59:45, Chen Kai had closed all his positions.

He deliberately spent 15 seconds to observe Li Hao's battle situation, and unexpectedly, it was very close to his. Although the process was inconsistent, in the nearly 15 minutes of the last trading session, Li Hao's yield curve rose sharply.

"Brother Hao, come on! There are only 5 seconds left and you are about to lose!" While watching, he did not forget to use psychological tactics to force Li Hao to make mistakes and enjoy the hard-earned victory.

4, 3, 2, 1...

What he didn't expect was that Li Hao actually took advantage of the last few seconds when the trading volume was shrinking to control the market a little.

As a result, Li Hao, who had completely closed his positions before the market closed, had a yield just 0.01% higher than his.

It was just a matter of inches, but the outcome was decided.

"Is this possible? Really?! If I had known, I would have lasted another ten seconds and I would have definitely beaten you!" Chen Kai jumped up from his chair angrily, clenching his fists.

Anyone would be pissed off in this situation.

Besides, Chen Kai has never won against Li Hao.

Li Hao finally crossed the finish line and overtook Chen Kai, and he breathed a sigh of relief.

"Sorry to disappoint you again! Even though it's only 0.01% higher, a win is a win, and a loss is a loss. Keep trying!"

Relying on Lao Pi's ability, he barely defeated Chen Kai this time, ended this fierce contest, and began to feel proud.

Chen Kai sat back down in his chair, looking at this outrageous result with a complicated expression on his face. "Brother Hao, you truly are my formidable rival. It seems I still need to learn a lot from you."

Li Hao laughed and said, "I almost got screwed, didn't I? I didn't expect you to be so flexible in applying your combined strategy in a short period of time. It's more than a level better than last time! Let's do it again next time!"

Chen Kai smiled lightly, his eyes filled with fighting spirit: "Okay, you said it! I'm ready to fight anytime!"

……

The next morning, Li Hao arrived at the office of his new company, "Xingxing Zhitou", early.

After a while, Xu Lei came in with breakfast.

After they finished breakfast, they reviewed their business plan together.

"Brother Lei, although we have a lot of resources at hand, as you know, product development in the investment industry, especially when it comes to AI, is very expensive just in terms of training models and providing computing power. We still have to focus on core functions first."

Li Hao said as he flipped through the plan.

"Why don't we first create a prototype of our most core features, the ones that differentiate us from our competitors?"

Although Xu Lei is not a finance or investment major, he has complete product development experience and made suggestions to Li Hao.

"Brother Lei, I understand what you mean. Should we create a basically usable product now? It can be simple, but sufficient for us to verify our core ideas," Li Hao continued. "Then, based on user feedback, we can gradually optimize and improve it to ensure that the product can continue to adapt to market demand."

Xu Lei nodded, his eyes focused. "Yes, that's called the minimum viable product strategy. It not only helps us quickly verify market demand, but also saves costs and allows us to collect user feedback in a timely manner so we can iterate further."

He then said, "But I need you to determine which features of the product we are currently envisioning are considered core? Or the highest priority?"

Li Hao pondered for a moment and said, "I think the most important thing is a transparent and visible decision-making process. Since we're developing an AI-powered investment advisory product, we need to let users see the logic and basis behind every decision. Only in this way can we earn their trust."

Xu Lei also agreed and replied, "Indeed, our users need to clearly understand the basis for each investment recommendation. We cannot let them feel that it is a black box operation..."

After some discussion, they decided that a transparent decision-making process must be a key feature of this minimum viable product, and this transparency would be achieved through AI technology and data support.

Li Hao's initial idea was to let AI give investment advice while showing in detail the basis and relevant data analysis for each suggestion.

“I envision a product where every decision is backed by detailed data, and users can clearly see every step and calculation.”

Li Hao said, then he picked up a pen and drew a simple framework diagram on the paper.

"For example, for a recommended investment target, AI should be able to explain that this target is calculated based on indicators such as price-to-earnings ratio, profit growth rate, and trading volume, and these data should also be displayed clearly so that users can feel at ease after reading them," he continued to explain.

Xu Lei nodded slightly and quickly wrote down these key points on the computer.

"Then I suggest that we can initially use a decision tree model. After the user inputs their preferences, AI will make investment decisions based on those preferences and data analysis. Then, through visualization operations, we can show the logic behind each decision," he said later.

Li Hao agreed, saying, "Yes, users need to see how decisions are made. This way, both beginners and experienced investors can better understand the process, gain confidence, and trust the AI's recommendations."

"The key is to make it simple and clear," he continued. "We can use a decision tree model. The AI ​​system allows users to set their investment preferences, such as risk tolerance, expected returns, and other parameters. It then recommends investment targets and displays the key data points behind each recommendation."

Xu Lei continued, "I see. For example, if a user prefers conservative investments, the AI ​​system will recommend stocks with stable operations and low volatility based on key indicators like price-to-earnings ratio and profit growth rate. Users can see the data and weighting behind each decision, making the entire process simple and transparent."

Li Hao nodded and added, "That's right. We can also add text descriptions, just like writing annotations, to explain why the AI ​​made such a decision based on this data."

"For example, why is it not suitable to invest when the price-to-earnings ratio is high, and why is the profit growth rate a key indicator for stable investment. This can also provide some investor education to help users improve their investment awareness," he continued.

Xu Lei's eyes lit up, and he smiled and said, "That's right. If these features are implemented well, user stickiness will be very high. After all, many people don't fully understand the role of certain investment indicators, or don't have a complete investment system. If we can explain them in a simple and understandable way, users will be more willing to use this product long-term."

Li Hao nodded in agreement and said, "That's right! The clearer and more transparent it is, the more users can feel the value of AI. We don't just provide a final investment result; we want users to understand every step of the process."

He paused, gathered his thoughts, and continued, "So, the core function with the highest priority right now is the transparent display of data and the visualization of investment logic."

Xu Lei readily agreed and quickly jotted down these ideas. "Okay, I'll talk to Zhiyuan's new team. Let's build a minimum viable product first, and then gradually improve and iterate based on user feedback. We can then continue to expand its functionality, such as adding more investment strategies, more data sources, and even integrating social media and market sentiment into forecasting."

"But there's one thing," Li Hao suddenly added, "we must ensure that the AI ​​system can maintain its ability to continuously learn and optimize itself. Every user behavior and market fluctuation can also become training material for the AI."

Xu Lei replied, "That's not difficult. The Ark system's architecture is designed for large-scale data processing and model iteration. We just need to expand on this foundation and add a data entry point for the robo-advisor."

Having said that, the two looked at each other and felt relieved.

Fortunately, Wang Xiao's relentless pressure made Xu Lei determined to fight back.

In the process, they regained control of the "Ark" and made Li Hao a major shareholder of Noah Technology.

This is equivalent to perfectly inheriting Xu Lei's previous research results, and also lays a very solid foundation for the new company's product development.

Xu Lei decided to act immediately.

He went to Noah Technology next door and called Feng Zhiyuan and his new R&D team to implement the technology.

The team quickly got into the game and began developing and training the "Rising Star Smart Investment" AI model.

Xu Lei explained the concept of the decision tree model to Feng Zhiyuan and emphasized what Li Hao said about the importance of data transparency.

Feng Zhiyuan quickly understood this concept and led the team to get to work.

At the same time, Li Hao also had a new one.

This time, in addition to participating in product development, he also took the initiative to take over the responsibility of marketing.

Li Hao realized that relying on products alone was not enough, and that he had to create momentum at the same time to win market attention.

The aroma of wine is also afraid of deep alleys.

The first thing he did was to use Noah Technology's huge database to quickly sort out similar products available on the market.

Li Hao conducted a detailed analysis of the core elements of these products, paying special attention to those standardized solutions.

He found that many similar products on the market were either too complicated and difficult for users to use, or the data was not transparent, and even some recommendation algorithms were closed, preventing users from clearly understanding the logic behind investment decisions.

While analyzing the market competition, Li Hao formed a clear market strategy in his mind.

In addition to providing users with customized investment advice, Li Hao decided to launch a series of standardized portfolio products as a demonstration of real-time investment.

The net asset value performance of these portfolios will be disclosed regularly, providing users with a window to understand the effectiveness of the products.

"These standardized combinations will help us demonstrate the strength of our AI models and attract more potential clients. Moreover, every user can clearly see how the AI ​​makes investment decisions through data analysis and weighting."

At the same time, Li Hao realized a problem - there are not many standard combination products on the market that can outperform the average return.

This made him feel more and more that if his and Xu Lei's products could solve this pain point, they would definitely become a hit.

But the problem also arises: promotion.

Although their products have advanced concepts and powerful functions, how to make the market truly realize their potential has become a difficult problem for Li Hao.

"Promotion is the big problem." Li Hao's heart sank.

Just as he was thinking about how to break through this bottleneck, Lao Pi's voice suddenly rang in his mind...