You No Longer Need to Code to Automate Your Trading Automated crypto trading has always come with a catch: you either needed to write code, trust a third-party You No Longer Need to Code to Automate Your Trading Automated crypto trading has always come with a catch: you either needed to write code, trust a third-party

BitMart Skills Is Live – Your AI Agent Can Now Trade Crypto Just by Being Asked

2026/03/19 22:10
3 min read
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BitMart Skills Is Live - Your AI Agent Can Now Trade Crypto Just by Being Asked

You No Longer Need to Code to Automate Your Trading

Automated crypto trading has always come with a catch: you either needed to write code, trust a third-party bot, or pay for a platform that locked you into its ecosystem. BitMart Skills changes that dynamic.

Launched this week, BitMart Skills is an open marketplace of AI trading modules – called Skills – that give AI agents direct, native access to BitMart’s trading infrastructure. The core idea is simple: instead of building or buying an automation tool, you give your AI agent a set of skills, and then you just talk to it.

Tell it “Buy 100 USDT worth of BTC on BitMart” and it buys. Tell it “Place a limit order for ETH when it hits $3,000” and it waits, watches, and executes when the condition is met. No scripts. No dashboards. No intermediaries.

What BitMart Skills Actually Covers

The marketplace currently ships two live skill modules, both free and open-source on GitHub.

Spot trading – handles market and limit orders, batch order placement, order cancellation, account balance queries, margin trading, and fee rate checks.

USDT perpetual futures – covers opening and closing positions, leverage management, take-profit and stop-loss configuration, conditional (plan) orders, and trailing orders.

That is the full Research-Judgment-Execution-Monitoring loop, available through natural language. Your agent can check your balance, evaluate market conditions, execute a position, and monitor it – all from a single conversation.

Works With the Tools You Already Use

BitMart Skills is built to work with any major AI agent framework. Whether you are running OpenClaw, Claude Code, LangChain, CrewAI, or your own custom stack, installation takes one command and requires no changes to your existing setup.

That compatibility matters. The AI agent ecosystem is still early and fragmented, and most exchange integrations are platform-specific. BitMart Skills is designed to be framework-agnostic from the start – so wherever the agent ecosystem goes, it goes with it.

Your Assets Stay Under Your Control

Handing trading access to an AI agent raises real security questions. BitMart Skills is designed with those questions in mind.

Every action that moves assets requires your explicit confirmation before it executes. The API key setup is scoped to the minimum permissions needed – read access and trade access only, with withdrawal access deliberately left off the table. Your credentials are stored locally and never transmitted through chat.

The result is an AI trading setup that is genuinely useful without requiring you to fully hand over control. You set the strategy. The agent handles the execution. You confirm before anything moves.

The Bigger Picture

BitMart Skills is part of a broader shift happening across the industry. With AI agent frameworks gaining real traction – and competitors racing to build their own agent-native services – exchanges are becoming not just trading venues but infrastructure providers for intelligent systems.

BitMart is making an early, open-source bet on that future. The GitHub repository is public, actively maintained, and built for community contributions. Users and developers are invited to extend it, build on it, and help define what AI-native trading looks like next.

BitMart Skills is available now. Start with the GitHub repository and install your first skill in minutes.

GitHub: https://github.com/bitmartexchange/bitmart-skills

Learn more: https://www.bitmart.com

The post BitMart Skills Is Live – Your AI Agent Can Now Trade Crypto Just by Being Asked appeared first on Metaverse Post.

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