Research-backed guides for builders, analysts, and growth teams.

OpenClaw (formerly known as Clawdbot and Moltbot) has become one of the fastest-growing open-source AI agent projects, with more than 355K stars on GitHub as of April 2026. One of its most popular use cases is crypto, which includes market monitoring, token research, price alerts, portfolio tracking, and automated reporting, all accessible through messaging platforms like Telegram.

Dollar cost averaging is one of the simplest automated trading strategies. You set a fixed amount, buy on a schedule, and let time do the heavy lifting.

This article is for anyone who needs to get accurate cryptocurrency prices directly from decentralized exchanges (DEXs). Whether you are tracking your portfolio, analyzing market trends, or building crypto applications, reliable DEX price data is essential for making informed decisions.

This guide will walk you through fetching cryptocurrency market data using GOATSDK and its CoinGecko plugin. Whether you're interested in historical coin data, OHLC candlestick data, trending coins, top gainers and losers, or coin categories, this guide provides step-by-step instructions, detailed explanations of inputs and outputs, and reusable TypeScript code you can plug directly into your own projects.

Many modern AI projects use prebuilt APIs and external libraries to handle tasks. However, building an AI agent on your own can give you a deeper understanding of the process. It also allows you greater control over how your agent behaves.

As crypto traders, we spend countless hours analyzing price charts, studying trends, and interpreting market indicators to spot opportunities. AI and machine learning can make this process faster and more efficient.