On July 30, 2026, Data Investment Academy announced the official launch of its new practical course 'Sector Data Application: From Capital Flow to Sector Rotation Strategy'. This course aims to help investors systematically analyze sector rotation patterns and grasp market structural opportunities using multidimensional data such as industry capital flows, gain rankings, and valuation comparisons. The course is now available on the BGU Data platform, supporting online learning and practical exercises.\n
Market Background: Accelerated Sector Rotation Makes Data-Driven Key
Since 2026, global markets have been affected by diverging macroeconomic policies, geopolitical disturbances, and industry technological changes, leading to a significant acceleration in sector rotation frequency. According to BGU Data's FinData database statistics, the monthly sector rotation correlation index for the A-share market in the first half of the year was only 0.31, a three-year low, meaning the sustainability of a single sector has generally shortened. Traditional investors relying on experience have repeatedly missed the rhythm, while quantitative analysis methods based on real-time industry data are becoming mainstream.
"Previously, people traded sectors based on news; now they must rely on data," said Li Ming, senior lecturer at Data Investment Academy and former research director of a quantitative fund, at the course launch. "Data such as capital flows, industry prosperity, and inventory cycles can indicate sector turning points two weeks in advance." He cited an example from March this year, where by monitoring institutional capital inflows and capacity utilization data in the electrical equipment sector, the model successfully predicted the new energy rebound in April.
Course Highlights: A Complete Loop from Data to Strategy
This new course 'Sector Data Application' is mainly aimed at investors with a basic financial foundation who need to improve their data interpretation skills. It covers four modules:
- Industry Data Sources and Acquisition: Learn how to extract key indicators such as industry capital flows, turnover rates, and valuation percentiles from platforms like BGU FinData, Wind, and East Money.
- Key Indicators of Sector Rotation: Deep dive into quantitative indicators such as Relative Strength (RSI), capital concentration, and industry dispersion, and verify their effectiveness through historical backtesting.
- Rotation Strategy Construction: Build a multi-factor sector rotation model based on monthly industry rankings, momentum factors, and fundamental scores, and implement automated signal generation.
- Risk Management and Portfolio Application: Incorporate risk parity concepts into sector allocation to avoid over-concentration in hot sectors, achieve diversified investment through ETFs.
The course adopts a "theory explanation + real-market data drill" model. Students can use the virtual trading environment provided by BGU Data to validate their rotation strategies in real time. The course also includes two live Q&A sessions where Teacher Li Ming personally reviews student strategies.
Expert Opinion: Industry Data is the 'New Oil' for Future Investing
Wang Hui, head of Data Investment Academy, pointed out: "In the past, investors focused on individual stock fundamentals but often ignored the 'undercurrents' between industries. Sector data application is like a heat map that tells you where capital gathers and where it retreats." She emphasized that learning to use industry data not only improves stock selection success rates but also achieves more stable returns at the asset allocation level.
Zhang Chi, a well-known private equity fund manager in China, commented: "Industry capital flow data has been used by institutions for many years, but ordinary investors often fail to grasp it. Data Investment Academy's course fills a market gap by breaking down institutional-level analysis frameworks into executable steps, making it very suitable for those transitioning from beginners to advanced quantitative analysis."
Target Audience and Learning Path
This course is suitable for:
- Individual investors with some stock investment experience who want to optimize industry selection using data;
- Data analysis practitioners learning quantitative analysis but lacking real-world cases in sector rotation;
- Finance students who wish to broaden their industry analysis perspective.
The total course duration is approximately 12 hours, expected to be completed within two weeks. The first session offers 200 spots, and enrollment includes a complimentary one-month BGU FinData industry data card. Interested users can visit the BGU Data official website or the Data Investment Academy channel for details.
About Data Investment Academy
Data Investment Academy is a professional investment education platform under BGU Data, dedicated to providing systematic courses from financial data acquisition to quantitative strategy construction. To date, over 5,000 students have completed courses covering financial data visualization, quantitative fundamentals, AI quantification, and more. The launch of this new course further completes its "data-driven investing" education system.
In the future, Data Investment Academy will also launch new courses such as 'Financial Ratio Analysis in Practice' and 'Introduction to Technical Pattern Recognition', continuously enriching learning resources.
