From ChatGPT to Autonomy – AI Agents Reshape Crypto Trading
0AI agent
Artificial Intelligence
Crypto Trading
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Rachel Wolfson
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Rachel Wolfson
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Rachel Wolfson has been covering the cryptocurrency, blockchain and Web3 sector since 2017. She has written for Forbes and Cointelegraph and is the host and founder of Web3 Deep Dive podcast.
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2 hours ago
Artificial intelligence (AI) is transforming a number of industries, yet AI’s impact on the crypto sector will likely be huge moving forward.
This is primarily due to the rise of AI agents that can automate crypto trading tasks such as research, charting, strategy execution, and more.
AI Agents for Intelligent Crypto Automation.
Although still a relatively new concept, traders are now able to use OpenAI’s ChatGPT Agent to surface crypto signs, analyze trends, and quickly act on insights.
A ChatGPT Agent is an AI tool that performs complex, multi-step tasks, allowing it to research and take certain actions to produce desired results.
David Sneider, founder at Lit Protocol, told Cryptonews that AI agents—like ChatGPT Agent—are autonomous systems (usually powered by large language models, machine learning, or rule-based logic) that can perceive information, reason about it, and take actions on behalf of a user or an organization.
Sneider explained that, unlike a static program, an AI agent can:
Understand goals: For example, “maximize yield,” “reply to emails,” “rebalance portfolio.”
Plan and decide: For instance, choose between multiple strategies or tools, and act in the real world through tools (APIs, smart contracts, integrations with apps).
Learn or adapt over time: This ensures improvement based on results.
“In practice, AI agents often sit between users and systems, turning human intent into automated execution,” Sneider said.
AI Agents Versus Rule-Based Bots.
Sneider added that while AI agents are similar to rule-based bots, the major difference is that AI agents are dynamic in their decision-making, whereas rule-based bots operate on pre-programmed models.
For example, rule-based bots act on “If X then Y” prompts.
Shamir Ozery, CEO and founder of Ensemble—a commerce layer for AI agents—told Cryptonews that an example of a natural-language prompt is as follows:
“Watch ETH on Base. If 1h momentum turns positive and gas
Sneider pointed out that it’s the AI agent’s ability to perceive, reason, and adapt that makes them different from rule-based bots. This is also why AI agents are currently becoming one of the biggest trends in crypto.
According to Sneider, the increasing power and accuracy of large language models are expanding out of their initial chatbot/Google-replacement use cases and are being given tools to execute complex tasks.
How AI Agents Are Used for Crypto.
For instance, Sneider pointed out that today, AI Agents are mainly used for personal productivity, customer service, finance, and crypto strategy.
Specifically speaking, he explained that AI agents for crypto are used primarily for three types of emerging products.
“First, AI agents can be used as research agents that help users understand the crypto market. These agents do not trade, but simply help with education.”
Secondly, Sneider mentioned that agent chatbots can now execute transactions in real time via a user’s self-custody key.
“In this case, the agent is a replacement for the Web3 browser and users tell the agent something like ‘Buy $50...
https://cryptonews.com/news/ai-agent-crypto-trading-101-from-chatgpt-to-autonomous-bots/
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