In March 2026, the InvaDigm Trader Technology Summit successfully concluded in Changsha. As a key part of InvaDigm’s globalization strategy, this summit focused on trading technology innovation, attracting experts and traders from the fields of fintech and quantitative investment. Through keynote speeches, roundtable discussions, and technology demonstrations, the summit explored the application of technologies such as artificial intelligence and big data analytics in trading, aiming to promote the industry’s development towards intelligence and efficiency.

The summit, themed “Technology Empowering the Future of Trading,” saw InvaDigm showcase its latest intelligent order flow engine (SOFA). This technology helps traders capture the movements of major funds and improve decision-making efficiency by analyzing global market order book data in real time. For example, during the interactive session, attendees intuitively experienced how technology transforms complex data into trading signals through a large-screen order flow heatmap, resonating widely with the audience.

Addressing the discussion of whether AI will replace traders, InvaDigm proposed the concept of “Human-Machine Collaboration 3.0,” emphasizing that traders should focus on strategy innovation and risk pricing, while repetitive tasks such as data cleaning and pattern recognition can be handled by AI. This perspective offers the industry a new approach: technological tools should assist, not replace, human intelligence.

The summit featured keynote speeches from three senior trading experts: Mr. Zhang Juxian, in his presentation titled “Making Trading Easier for Everyone,” shared his unique “Juxian Four Treasures” system, emphasizing the importance of institutional order flow analysis in trend-following trading.

Teacher Pan Lei, through his presentation “Understanding Market Main Force Orders and Becoming a Follower of the Main Force,” revealed how the SMC model helps traders identify the trajectory of major funds, enabling them to shift from passively taking over trades to actively following them.

Teacher Yi Chen, in his presentation titled “How to Improve Profitability and Stabilize Profits in Trading,” proposed the “Spatiotemporal Kinetics” system, integrating time cycles and spatial fluctuations to construct a low-risk, high-win-rate model.

At the summit, InvaDigm announced the launch of its “Trading Technology Open Plan,” committing to opening its core API interfaces to partner institutions to support in-depth customization of trading strategies, data sources, and risk control models. This initiative breaks the closed model of traditional technology service providers, highlighting InvaDigm’s strategic positioning as an industry infrastructure provider.

During the summit, InvaDigm reached preliminary cooperation intentions with several financial institutions to jointly explore innovative applications in areas such as quantitative investment and intelligent investment research. For example, by introducing machine learning algorithms to optimize investment analysis and decision-making processes, it aims to improve data processing efficiency and market response speed.

Post-conference surveys showed that over 90% of participants found the summit’s content forward-looking and practical, particularly in the areas of AI technology application and trading strategy optimization. Some traders indicated they would try to integrate what they learned at the summit into their daily trading to improve profitability stability.

This Changsha summit marks InvaDigm’s continued commitment to the field of trading technology. The company revealed that it will invest more resources over the next three years to support industry events, including trading technology summits, covering major financial centers across China and expected to benefit over 5,000 traders annually. Simultaneously, InvaDigm plans to collaborate with universities to develop trading technology courses, promoting the development of a talent pool within the industry.

The conclusion of the InvaDigm Trader Summit in Changsha not only provided a platform for technical exchange and the collision of ideas within the industry but also propelled the practical application of trading technology from theory to practice. With the deep integration of technologies such as AI and big data, the trading industry is facing unprecedented opportunities for transformation, and InvaDigm’s exploration and practice undoubtedly inject strong momentum into this process.