Zhuhai, ChinaJune 3, 2026 /PRNewswire/ — As the proportion of quantitative trading in China’s capital market steadily rises, individual investors face an increasingly urgent need for automated trading tools. Recently, JellyQuant (Zhuhai Fuxun Network Technology Co., Ltd.), a leader in the domestic “no-code” quantitative trading tool sector, officially launched its new “Strategy Design Panel” feature in its seventh year of stable operation. This feature innovatively visualizes the entire quantitative strategy design process through a workflow approach, achieving true “zero-code” operation. This milestone marks that JellyQuant has fully integrated the entire quantitative trading chain—from strategy construction and backtesting to live execution—providing ordinary investors with a low-barrier, high-efficiency, complete quantitative trading solution.
Pioneering Visual Strategy Design Panel: Truly No-Code, Zero Programming
In traditional quantitative trading, strategy design heavily relies on specialized programming languages, with high technical barriers excluding most individual investors. JellyQuant seized this opportunity to independently develop a visual strategy design panel tool, completely abandoning traditional code-writing models and deconstructing abstract strategy logic and underlying algorithms into an intuitive graphical interactive interface.
Users only need to drag, drop, and connect elements on the interface to quickly transform their trading ideas into rigorous quantitative strategies, which can then be directly backtested or deployed for live automated trading, truly achieving “what you see is what you get” for strategy logic.
Supports Multi-Mode and Parameter Sweep Backtesting for Rapid Strategy Feasibility Validation
After strategy construction, rigorous backtesting is key to validating logical feasibility. Unlike most quantitative software on the market that offers only a single, fixed backtesting mode, JellyQuant’s backtesting feature incorporates multi-mode options (e.g., daily rotation mode, T0 high-frequency mode) and parameter sweep functionality (customizable parameter ranges and step sizes for batch recursive testing), significantly improving the efficiency of backtesting optimization and parameter search.
In terms of backtesting mode selection, the system supports not only daily-level strategies like small-cap rotation and custom conditional rolling buy/sell for medium-to-long-term approaches, but also minute-level T+0 ultra-short-term and grid trading modes. More critically, JellyQuant achieves seamless integration between “backtesting” and “live trading.” Strategy models that have been validated and optimized through backtesting on the platform can be converted into live trading tasks with a single click, fully closing the business loop from idea validation to automated execution.
Reliable Live Automated Trading Solutions to Support Strategy Implementation
When entering the live trading phase, the architecture design, compatibility, and stability of the order execution system are the cornerstones of trading success. Leveraging seven years of practical experience, JellyQuant has built a highly defensible technical solution at the live execution layer.
To meet the needs of investors with different trading frequencies, the platform offers a dual-track live trading solution: On one hand, its proprietary RPA+AI Agent technical architecture can broadly interface with all major domestic brokerages at the UI level, providing users with mature and stable medium-to-low-frequency automated trading solutions. On the other hand, the system can also connect to brokerages’ official programmatic trading solutions to meet professional investors’ stringent requirements for high-frequency trading and ultra-fast order placement. The order execution architecture, tested by seven years of market experience, provides reliable support for investors’ live operations.
Strict Compliance and Multi-Terminal Support for Various Usage Scenarios
As a professional quantitative trading tool, compliance and information security are always the platform’s lifeline. JellyQuant clearly defines itself as a “trading assistance software,” offering no form of investment advisory services, ensuring that all trading plans reflect the user’s own trading intent and are set by them personally. Additionally, the platform has built a terminal matrix covering PC, mobile app, and WeChat to accommodate different scenarios and user habits. When a cloud-based strategy is triggered, the system sends real-time push notifications via WeChat or the app, ensuring users stay informed of strategy performance anytime, anywhere, while safeguarding trading security and maximizing the smooth experience of automated trading.
After seven years of market validation, JellyQuant has demonstrated the practical value of democratizing technology in the field of individual trading assistance through pragmatic technological iteration. Looking ahead, JellyQuant will continue to adhere to the development path of “low barriers” and “full scenarios,” deepening technological research and compliance system construction, and persistently providing individual investors with professional and reliable quantitative automated trading solutions.