Scheduled strategy execution
Describe a strategy once and Fere runs it on schedule, carrying context forward across repeated cycles instead of treating each run as stateless.
FereAI is a crypto trading agent platform for running autonomous strategies in a web app or through MCP-connected chat tools like ChatGPT and Claude. It also supports Polymarket discovery, cross-chain actions, and logged execution flows.
FereAI is a crypto trading agent platform built for running autonomous strategies in the web app or through an MCP connection inside chat-based tools such as ChatGPT and Claude. The site positions it as a wallet-native agent that can research, monitor, and execute trades while the user is away.
The product combines scheduled strategy runs, live market reasoning, execution logging, and chat-based controls. It also extends into Polymarket discovery and execution, plus cross-chain actions such as bridging and swapping, so users can direct a trading workflow from a single interface rather than assemble separate tools for research and execution.
Describe a strategy once and Fere runs it on schedule, carrying context forward across repeated cycles instead of treating each run as stateless.
Breaks conditional strategies into ordered tasks and uses specialist sub-agents to plan, validate, and execute each step.
Makes decisions from live prices, on-chain data, and sentiment at the moment of execution rather than from hardcoded rules.
Logs every step, data point, and decision so users can inspect what happened and why a trade was placed or skipped.
Retries with alternatives when a route fails at peak demand to reduce missed entries during volatile periods.
Connects through MCP so users can trade in ChatGPT, Claude, or other MCP clients, including research, swaps, bridging, and Polymarket actions.
A trader writes a rule set once and lets Fere scan markets on a schedule, then act only when the conditions are met.
A user wants to research a setup in ChatGPT or Claude and then execute the trade from the same conversation through MCP.
A portfolio holder wants cross-chain execution that can find funds, choose a route, and bundle bridge plus swap into one flow.
A Polymarket user wants curated markets, an AI verdict, and automated take-profit handling instead of manually watching every position.
A trader wants to understand why an order was placed or skipped by reviewing the logged steps, inputs, and execution decisions.
Fere exposes a Model Context Protocol server that you can connect to from an MCP client such as ChatGPT, Claude, Cursor, or Hermes Agent. The source text also describes a web app surface for trading and strategy execution.
The site says you can add the MCP connector, sign in with OAuth, and then research, swap, bridge, set take-profit and stop-loss orders, and trade Polymarket through chat.
Fere is described as a wallet-native agent that plans multi-step strategies, uses live data at execution time, and logs each step, data point, and decision.
The pricing page shows monthly and annual subscriptions with Lite, Pro, and Whale plans. It also says credits roll over up to a 2x cap and that top-ups include a 30% bonus.
The source does not provide a full list of limitations, but it does note that Fere confirms scope before executing and flags ambiguity upfront, which suggests users should review strategy instructions carefully before running them.
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