Collection

A few days ago, someone in the group said that OpenClaw is spreading in the quantitative circle, with some people using it to replace half a research team.

I researched that traditional quantitative investment research data acquisition requires interfacing with various APIs, backtesting strategies requires coding, and parsing research reports requires manual reading of announcements and monitoring.
Every step is physically demanding, and the actual time spent on it is not much.

The advantage of OpenClaw fits very well in this scenario.
It is not just a chat tool; it can perform operations, call external interfaces, run code, and trigger tasks on schedule.
With specialized quantitative skills, this combination can automate most of the physical tasks mentioned above.