Here’s a polished English translation of the Chinese title: **”Jellyfish Quantitative Continuously Enhances Strategy Tools, Launches Mid-Year User Appreciation Campaign”**

ZhuhaiJune 16, 2026 /PRNewswire/ — Against the backdrop of quantitative investing accelerating toward mass adoption, Jellyfish Quant is steadily advancing the functional upgrades and experience optimization of its trading platform. Centered on the core goal of “making quantitative investing simpler and trading more efficient,” Jellyfish Quant continues to enhance its connection with individual investors by lowering the barrier to entry, strengthening trading speed, and refining its strategy ecosystem, delivering a more intuitive and professional fully automated quantitative trading experience.

Zero-Code Entry: Making Quantitative Investing Accessible with “Visual Strategies”

For the vast majority of individual investors without programming backgrounds, Jellyfish Quant has been refining low-barrier trading tools based on the product philosophy of “playing with quantitative investing like building blocks.” The industry-first visual strategy design panel supports drag-and-drop components to build complex trading strategies, eliminating the need for any coding foundation in strategy development. Additionally, the platform comes pre-loaded with dozens of ready-to-use strategy templates, covering common trading scenarios such as stop-profit and stop-loss, intraday high-selling and low-buying, inflection point trading, moving average trading, and stock-bond arbitrage. Novice users can apply these with a single click and start trading immediately.

Simultaneous User Education and Mid-Year Rewards Program

To further enhance user engagement, Jellyfish Quant will soon launch user open classes, accompanied by a mid-year user rewards program.

June 16 | Quantitative Strategy Practical Open Class
The open class will focus on the visual strategy design panel, demonstrating the complete process of strategy building, sharing advanced operational tips for the panel, and including an interactive Q&A session.


June 15 – June 26 | Mid-Year User Rewards Program

New User Experience Offer: For newly registered users who have not yet paid and users whose trial period has expired, various versions will offer corresponding trial prices during this period.

Renewal and Upgrade Benefits: Users purchasing, renewing, or upgrading to various versions will receive corresponding service duration benefits.

Long-Term User Rewards: For users who have continuously used the platform for two years or more, a corresponding service duration arrangement will be provided upon renewal.

User Referral Program: After a user successfully refers a friend to subscribe to the corresponding service, both parties will receive corresponding benefit arrangements.

Specific arrangements are subject to the platform’s official announcements.

Multi-Tool Synergy to Amplify Strategy Value

Jellyfish Quant leverages multi-tool synergy to further enhance strategy research and live trading capabilities:

Backtesting Tool Suite: The platform offers quantitative research tools such as minute-level grid trading backtesting, T+0 trading backtesting, rotation trading backtesting, and two-way trading backtesting, all adapted for China’s A-share trading environment. Among these, the execution-driven grid trading, combined with pre-order and cancellation mechanisms, automatically completes grid pair trades, supports multiple parameter settings, and provides buy/sell point annotations and statistical analysis.
Rotation Trading Module: Leveraging the “smart rotation strategy” system, the platform provides DIY backtesting and one-click live deployment functions, complemented by a “rotation trading (simplified version)” that supports replicating strategies from third-party backtesting platforms like Guoren.com, facilitating easy strategy migration for users.
Tongdaxin Indicator Trading: The platform integrates an automated trading assistant, allowing Tongdaxin’s alert radar signals to be sent to Jellyfish Quant for trade execution.

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rocky TT
rocky TT

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