Longbridge Skill Real-World Case Study Contest — Award Announcement

The Longbridge Skill Real-World Case Study Contest has officially concluded. This contest was designed to surface the wide range of ways Longbridge Skill can be used, and since launch it has been met with enthusiastic participation from our user community.

Throughout the contest, we received a large number of high-quality submissions. Participants showed great creativity, sharing case studies on equity analysis, earnings tracking, automated trading, capital-flow assessment, and more — covering everything from in-depth investment research to handy day-to-day workflow tips. Together, they vividly demonstrate the practical value of Longbridge Skill as an AI-powered research partner.

In line with the principles of fairness, impartiality, and transparency, and based on each submission’s practicality, originality, and level of detail, our review team carefully selected the winners. The award results are hereby announced as follows:

Best Case Study Award (3 winners)

Prize: 10,000 Task Coins + 1 pair of AirPods 4 per winner. Winning case studies will be featured on the Longbridge Skill official website, where users worldwide will be able to see each winner’s ID and submission. (In no particular order.)

Longbridge Skill official website: https://open.longbridge.com/zh-CN/skill/
Users in mainland China: https://open.longbridge.cn/skill/

Winner: @纳指嘉措

Case study: Using AI to Scan for Options Opportunities — 39 Contracts with Annualized Returns of up to 423%

With a single prompt, AI automatically scanned 12 watchlist tickers across 10 expiration dates and surfaced 39 SELL PUT opportunities meeting his quant criteria — the top contract delivered a 423% annualized ROI.

Winner: @不奋东西

Case study: First Impressions of Longbridge Skill — Pretty Cool

Using OpenClaw + Longbridge Skill, he set up conditional trading on his SanDisk position. From a single composite instruction, AI generated background monitoring scripts that fully automate take-profit and stop-loss execution.

Winner: @热血青年

Case study: A QQQ 0DTE Quant Trading System — From Zero to Live Trading

Without writing a single line of code, he built a QQQ 0DTE quant trading system using Hermes + Longbridge Skill. Backtesting revealed his now-signature “Death Zone / Golden Zone” pattern; the system is live and runs an automated daily review.

Active Participation Award (20 winners)

Prize: 1,000 Task Coins + 1 Longbridge custom Explorer pillow per winner.

Winners (in no particular order):@X(今年先挣一个亿) 、@ATOMIC 、@God Song 、@mHaWeE 、@SkylerHu 、@Fee. 、@lemon tea 、@yulebron 、@木辛sama 、@忌贪忌躁忌赌落袋为安 、@眼科主理人（笑发财） 、@保本才是真 、@心态好才能zheng大钱 、@槿辰 、@贾琦光 、@请多多指教 、@euidneiow 、@z个两 、@manifold 、@lyhalfway

Prize Distribution Notes

• Task Coins will be credited directly to each winner’s Longbridge account within 3 business days after this announcement. Winners can log in to verify receipt.
• Physical prizes (AirPods 4 and the Longbridge custom Explorer pillow) will be handled by our team. Within 5 business days, a staff member will reach out via direct message to confirm shipping addresses. Please watch for the message — failure to respond in time will be treated as forfeiture of the prize.
• For the Best Case Study Award, winning entries will be added to and showcased on the official website within 10 business days. We will notify each winner via direct message with the link to view their feature.

Additional Notes

If you have any objections to the winners list, please contact us via official channels by direct message during the announcement period and include valid supporting evidence. Late submissions will not be accepted.

All winning entries must be original work. Any submission found to have been plagiarized or used without authorization will be disqualified, and any prizes already awarded will be reclaimed.

Congratulations again to all of our winners — and thank you to everyone who took part. We look forward to discovering even more ways to use Longbridge Skill together, and to making AI everyone’s go-to research partner.