Fere AI Raises $1.3M to Build Self-Improving Trading Agents

Fere AI is developing AI-powered agents that analyze market data, news, and on-chain signals to automate trading decisions.

The startup has raised $1.3 million in funding to develop a self-improving AI trading agent designed to automate digital asset trading.

The platform focuses on autonomous agents that execute trading strategies using real-time inputs such as market data, on-chain activity, news, and social sentiment. These agents are designed to process large volumes of information and translate them into trading actions without manual intervention.

Fere AI operates in the decentralized finance space, enabling users to define trading strategies in natural language and deploy AI agents to execute them across supported blockchain networks.

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The system is built around deterministic and verifiable agents, allowing trading decisions to be tracked and audited. This approach is intended to improve transparency and consistency in automated trading environments.

The way most people interact with markets today is broken. You are glued to a screen, bouncing between signal groups and trading venues, trying to catch something before it moves. That’s not sustainable. We built Fere so you can describe what you want and go live your life. The agents do the rest.
Akshaya Aron, Co-founder & CEO, Fere AI

“People ask us what makes Fere different from other trading tools,” said Pranav Prakash, Co-founder and CTO. “The answer is simple: other tools show you what’s happening. Fere does something about it.”

The platform includes different agent types, such as research agents for token analysis and market intelligence agents that track sentiment and price movements. It also provides dashboards that update with changing market conditions.

The newly raised funding will be used to expand the platform’s agent infrastructure and continue product development.

Fere AI is part of a broader group of companies developing autonomous AI systems for financial markets, where the focus is on adaptive agents that can continuously learn from market behavior.

Disclaimer: This news is based on publicly available information. NervNow has not independently verified any claims.

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