Exploring Global Markets: Perspectives, Strategies, and the Evolution of AI-Enhanced Quantitative Trading Systems

Dear Outstanding Students of Diamond Ridge Financial Academy.

Hello, everyone!  

I'm Charles Hanover, and it's a pleasure to be here with you again at Diamond Ridge Financial Academy! Welcome to this new journey of investment learning. Whether you're new to investing or have some experience, today's session will give you valuable insights and practical tools for your investment journey.

Global markets have been highly volatile this past week, especially in stocks, energy prices and Crypto. Whether it's macroeconomic data or political and economic changes, they deeply affect our investment decisions today. In today's session, I'll guide you through this week's market trends, analyze current investment opportunities, share strategy suggestions, and explain the details of the Public Test.

Let's explore how to handle market volatility, uncover investment opportunities and stand firm in a complex market to achieve stable growth!

This week, the UK stock market performed strongly. The FTSE 100 closed at 8,505.22 points on Friday, up 1.35% for the day and 3.11% for the week, hitting a record high. Multiple factors, including the direct impact of economic data, market expectations, and support from industry performance and global market trends, drove this strong performance.

First, UK economic data played a key role in driving market sentiment. Dec's retail sales data came in weaker than expected, and both core CPI and overall CPI showed signs of slowing, rising 3.2% and 2.5% year over year, respectively, which was below market expectations. These signals strengthened the market's expectation that the Bank of England will cut interest rates soon, especially with a projected 66 basis point cut in 2025. This made investors more optimistic about future economic stimulus policies. At the same time, the FTSE 100's high dividend yield attracted more capital, laying the foundation for this week's stock market rally.

Service and financial stocks also stood out, becoming key drivers of the FTSE 100's rise. Strong performances from service companies like Entain and Smiths Group reflected a recovery in the consumer and tech sectors. In contrast, the financial sector's overall strength reinforced its position as a traditionally strong area. Low valuations and high dividends, combined with the appeal of defensive industries, made the UK stock market particularly stable amid global turbulence.

At the same time, global market trends played a significant role. This week's positive performance of the US and European stock markets boosted investor confidence in regional markets. The impact of geopolitical tensions in the Middle East on traditional energy prices, along with market volatility caused by US trade sanctions, further increased the appeal of the UK stock market. The stable performance of the energy sector not only reflected concerns about supply disruptions but also provided additional momentum for this week's stock market gains.

Overall, the UK stock market's strong performance this week resulted from multiple positive factors working together. While uncertainties remain, the combination of policy expectations, industry momentum and market sentiment gave investors confidence, driving the stock market's continued rise.  

For individual UK stocks, take Rolls-Royce as an example. Although the stock faced some adjustments due to a downgrade by institutions, it rebounded strongly amid the broader recovery of the UK stock market and the company's long-term growth prospects. This adjustment can be seen as a buying opportunity. Institutional downgrades are often based on short-term factors, like market sentiment or temporary performance fluctuations. However, as a historic company with strong technical expertise in manufacturing aircraft engines, Rolls-Royce's long-term growth potential is still worth watching.  

As shown in the chart above, the technical pattern is that the stock's candlestick pattern has broken above the BOLL midline. Following the trend, an upward rally is expected soon.

For US stocks the US stock market showed strong performance this week, with the three major indices posting significant gains amid a mix of complex factors. The S&P 500 rose 2.9%, the Dow Jones climbed 3.7%, and the Nasdaq gained 2.85%. However, at the beginning of the week, the market faced some pressure due to rising concerns about the Federal Reserve's continued hawkish monetary policy, coupled with the Trump administration's announcement of expanded tariffs, which caused brief market volatility.  

Later, the release of US Dec CPI data brought some relief. While the annualized inflation rate rose slightly to 2.9%, the core inflation rate fell below expectations, signalling to ease inflation pressures. Investors have started reassessing the Fed's policy path, and expectations for rate cuts have risen. The market now has stronger confidence in the possibility of two to three rate cuts in 2025. This shift has significantly boosted risk appetite and injected strong momentum into the stock market.

Tech stocks were the main driver of this week's market performance. AI-related companies like Nvidia and Tesla, as well as tech stocks tied to crypto and the digital economy, saw strong rebounds, driving the Nasdaq higher. Meanwhile, major US banks reported earnings that exceeded expectations, further boosting investor confidence in the economy's health. JPMorgan's standout performance was a prime example of this trend.  

Regarding geopolitics, easing tensions in the Middle East has provided extra support to market sentiment. The ceasefire agreement between Israel and Hamas has reduced concerns about disruptions to oil supplies, leading to a rebound in risk assets. This positive news and the strong recovery in the US services sector have reinforced expectations of economic resilience, laying the foundation for a stock market rebound.

Overall, this week's strong rebound in the US stock market was driven by multiple factors: rising expectations of rate cuts, better-than-expected corporate earnings, reduced geopolitical risks and the continued surge in tech stocks. Looking ahead, the long-term growth potential of AI and digital economy-related industries and crypto remains worth investors' close attention.  

For example, in terms of individual stock moves, Trump Media & Technology Group (DJT) not only has strong media resources but is also actively investing in AI and the digital economy, making it a recent market focus. DJT's unique business model, deeply integrated with AI and the digital economy, allowed it to stand out in this week's strong rebound in tech stocks. With Trump's inauguration scheduled for tomorrow, market sentiment is expected to rise further, driving another surge in DJT's price.  

Another example is Coinbase. As shown in the chart above, this stock saw a significant rebound this week, supported by the favourable digital economy and crypto policies, along with strong support at the middle BOLL line. In the long term, as the tokenization of digital assets develops this year, COIN is expected to continue its upward trend. For short-term trading, you can follow our guidance to make small-profit trades.

Turning to the crypto market, coins like Dogecoin, SOL, and XEP, which we recommended this week, all saw significant gains. SOL, in particular, has been gaining traction due to its robust tech foundation and growing community support. SOL is the native token of the Solana blockchain, a high-performance platform that uses the innovative Proof of History (PoH) consensus mechanism. This unique feature enables Solana to support the rapid growth of decentralized applications (DApps), making it an attractive option for developers and users.

This week, SOL saw a major bullish trend ahead of Trump's inauguration, with weekly gains exceeding 40%. The token has already hit a new all-time high and is expected to rally again after pulling back to around $2.9. This means the next spot buying range for the token is between $230 and $250. It's also worth holding for the long term.

Additionally, this includes Dogecoin. On Monday, we clearly recommended buying it at around $0.315, and during the week, its price surged by more than 35%. Although it pulled back today, the trend just happened to drop to the middle BOLL line, where it effectively rebounded. This means the next buy-on-dip range for Dogecoin is $0.36-$0.385.  

As shown in the chart above, this reflects one of the basic rules of "Price Trend Theory." I've integrated these rules into the upgraded version of the quantitative trading system, which has significantly improved the tool's trading success rate. This is why the quantitative trading system is worth every investor's attention.

From this week's market patterns, you'll also notice that there are always plenty of trading opportunities, no matter how irregular the market fluctuations are. Among these, the key question we're discussing today is how to pinpoint the most promising and least risky investment opportunities. We know the market environment is complex and constantly changing, with emotions, data, policies, and international situations continuously affecting market trends. This requires investors to have more efficient tools to find the best trading signals amid these changes quickly. The quantitative trading system was created precisely to solve this problem.

How does the quantitative trading system identify the best trading signals in such a complex mix of economic data, asset types, and price fluctuations? Its working principle is based on integrating vast historical data, real-time market information, and a series of intelligent algorithms. The system uncovers hidden patterns and trends by continuously collecting and analyzing various market data. For instance, in traditional technical analysis, the quantitative system efficiently processes price movements, trading volume, and technical indicators. But it doesn't stop there. It also incorporates global macroeconomic data, corporate earnings, and social media information for comprehensive analysis. This comprehensive approach allows it to quickly identify high-potential investment opportunities.

Consider a scenario where sudden market changes occur, such as macroeconomic data surpassing expectations or short-term fluctuations in a specific sector. This information can often be noisy, and manual analysis can be time-consuming. However, a quantitative trading system, powered by AI algorithms, swiftly filters out this noise, focusing on the core market movements. It then generates the best trading signals based on extensive historical data and high-frequency trading models.  

In short, it can scan countless data points across global markets in an instant, identify assets that are highly likely to rebound or keep rising in the short term and execute trades through automated programs. For us investors, this efficient decision-making process is undoubtedly a huge advantage.

As the market environment continues to change, relying solely on traditional models and techniques can no longer meet market demands. Therefore, the upgraded version of the quantitative trading system has arrived. This version is equipped with the most advanced AI algorithms, giving it self-learning capabilities that allow it to continuously optimize itself based on historical trading data and market dynamics. This system is unique because, through deep learning, natural language processing and other technologies, it not only relies on traditional mathematical models but also quickly adjusts based on real-time market data, providing more precise and efficient trading strategies.

The upgraded quantitative trading system boasts significantly enhanced computing power and data processing capabilities compared to its predecessors. With advanced AI computing support, it can now handle much larger data sets, significantly improving the speed and accuracy of its analysis. Moreover, it introduces the latest self-learning and adaptive adjustment mechanisms, enabling it to respond to market conditions with real-time data and adjust based on factors like investors' actions and market trend changes. This constant improvement ensures the system's predictions are more accurate and its operations more stable.

We will officially launch the public test next week to verify the responsiveness of this upgraded version and ensure it can maintain stability when facing large amounts of data and a complex market environment. This public test is not only a check of the system's performance but also a key step in further optimizing the system. Through the public test, we will gain more real trading data, which will not only help optimize the system's self-learning ability but also improve the system's adaptability in real-world situations. We need a lot of practical operation data to enhance the system's accuracy and stability further, laying a solid foundation for its future official use.

During the public test, the system will track each participant's trading activity, completing self-learning and data upgrades. This means that every trade, whether successful or not, will provide valuable data feedback to the system. Your participation is crucial, as through this data, the quantitative trading system will continuously improve and optimize to ensure it can provide you and other investors with more accurate and stable trading signals in the future. Every trade is a process of deep learning, and this real-world data will directly affect the quality of the system's decisions. This is why we place such great importance on every detail and data feedback during the public test phase, as they will directly impact the final development and performance of the quantitative trading system.

For participants in the public test, this is undoubtedly a rare opportunity. Through this test, you can not only experience the powerful functions of the quantitative trading system but also enjoy low transaction fees and personalised services. This collaboration allows participants to deepen their understanding of quantitative trading through hands-on practice while increasing their profit margins with reduced fees. We believe that as the system continues to improve, it will become an essential tool for investors to achieve stable profits in complex market conditions.

2025 is a year full of opportunities and challenges. As the Fourth Industrial Revolution progresses, technologies such as artificial intelligence, blockchain and the Internet of Things are rapidly reshaping the world. This year is also regarded as the first year of digital asset tokenisation, marking a significant transformation in the global financial landscape. In such an era, having a long-term investment vision and excellent investment tools is essential to seize these historic opportunities and achieve exponential growth in wealth.

The quantitative trading system is a representative product of the AI era. With its powerful data processing capabilities and precise market insights, it provides investors with unprecedented trading advantages. As a key tool for wealth growth in 2025, it not only helps us navigate complex and volatile markets but also enables us to stay ahead of technological developments and reap significant returns in emerging fields. By participating in the public test, you can contribute to the system’s further improvement while earning additional income through real trading, fully experiencing the charm of th

Now is the best time to act! Contact my assistant to sign up, open a public test trading account and get familiar with the trading process in advance to prepare for the upcoming beta. Through practice, you will not only gain a deeper understanding of the core value of quantitative trading but also gain new advantages for your investment journey. Let’s embrace this wave of technological innovation and seize the golden age of digital asset tokenisation!

We look forward to your active participation and wish every participant great success during the test.

From tonight’s discussion, please consider the following:

Why choose the same exchange for the test? When will the official test launch?

What preparations are needed to join the test, and what benefits will it bring to all participants?