SWHY(SZ:000166) Shenwan Hongyuan Securities·2026-03-28 13:29Report Industry Investment Rating - Not provided in the content Core View of the Report - OpenClaw can reproduce research reports and conduct regular monitoring. It shows strong ability in reading and summarizing research reports but has issues in model reproduction that require repeated error correction. The subsequent tracking and regular prompting of the model can better demonstrate OpenClaw's advantages. Although OpenClaw currently lags behind specialized code platforms in research report reproduction, it has unique interaction modes and advantages in monitoring and regular prompting [3]. Summary According to the Table of Contents 1. OpenClaw's Reproduction of Shenwan Hongyuan's Technical Pattern Research Report - 1.1 OpenClaw's Reading and Summarization of the Research Report: By sending the PDF version of the research report to the OpenClaw dialogue window via Feishu, OpenClaw can read and summarize it. Its summary of the research report is complete and accurate, with a consistent recognition process and correct calculation and understanding of thresholds [7][10]. - 1.2 Repeated Error Correction in the Reproduction Process: In the process of code writing and model reproduction, OpenClaw encountered difficulties. There were uncertainties in understanding logical details, and errors occurred in the written code. To save time, OpenClaw was asked to describe the code logic in words to quickly check for errors. After a long - term error - correction process, the final code logic was consistent with the original text [15][18][34]. 2. Reproduction Results of the Research Report - 2.1 Statistical Results of the Identified Divergence Pattern Returns: After repeated error correction, the research report model was reproduced. Market data of CSI 300 constituent stocks from 2016 to March 23, 2026, were extracted. After divergence occurred, stocks with a top divergence tended to decline, and stocks with a bottom divergence tended to rise, with a win rate of around 70% in 10 trading days. However, when only considering the performance after confirmation, the returns changed significantly, and the divergence confirmation had little investment value [35][37][38]. - 2.2 Distribution Statistics of the Identified Divergence Pattern Returns: The return distributions of both top and bottom divergence showed a long - tail effect. For top divergence, there was a possibility of missing big - bull stocks. For bottom divergence, stocks had a high probability of rising, but some stocks continued to fall [40][47]. 3. Regular Monitoring of Divergence Patterns - After completing the calculations, a regular monitoring system for stock divergence patterns was set up through OpenClaw. OpenClaw was asked to regularly extract market data, identify patterns, and prompt for divergence signals, demonstrating its unique features compared to other code platforms [50]. 4. Thoughts and Summary - OpenClaw shows good ability in reading and summarizing research reports but has many minor problems in model reproduction. It currently lags behind specialized code platforms in research report reproduction. However, it has unique interaction modes and advantages in monitoring and regular prompting [63][65].