My First Personal Project with OpenClaw: A Bitcoin Auto-Trading System#

2026-03-14

For my first personal project with OpenClaw, I decided to build a Bitcoin auto-trading system.

Investing is not a new topic for me. My original intention was clear a long time ago: keep learning little by little, build up experience through trial and error, and eventually reach a point where I would have my own investment strategy and be able to invest in a systematic way without being pushed around by emotion. But when I look back now, after well over a decade, not as much has changed as I expected.

Taking the OpenClaw Bitcoin Auto-Trading System One Step Further with Multi-Strategy Simulation#

2026-03-15

A few days ago, I wrote My First Personal Project with OpenClaw: A Bitcoin Auto-Trading System, where I explained why I built the first version of the system and how that initial structure worked.

If that post was a record of building the smallest version that could actually run, this post is about the next step. This time, instead of watching a single strategy in isolation, I expanded the system into a structure where multiple strategies are simulated side by side on the same market data and compared against each other.

Installing and Analyzing OpenClaw: A New Standard for Personal AI Agents#

Why Is OpenClaw So Hot Right Now?#

These days, it’s harder to find someone in the developer community who doesn’t know about OpenClaw than someone who does. It has surpassed 300,000 GitHub stars, and 2 million people visited in the first week alone. X (Twitter), Discord, Reddit—everywhere you look, it’s all about OpenClaw.

In a nutshell, OpenClaw is a personal AI agent platform that runs on your own machine. It started in November 2025 as a weekend project called “ClawdBot”, went through a trademark issue, passed through “Moltbot”, and settled on OpenClaw in January 2026. The meaning behind the name is simple: “Claw” represents the project’s lobster mascot (🦞), and “Open” stands for open source and community-driven development.