
AI agents that turn signals into crypto + Polymarket trades
By Saurabh Suthar, Aron, Pranav Prakash, Abhinav Gupta, san, Yash
Fere AI ist ein autonomer Handelsagent, der Marktsignale analysiert und daraufhin eigenständig Trades auf Kryptomärkten sowie der Prognoseplattform Polymarket ausführt – inklusive Routenoptimierung, Stop-Loss-Kontrollen und 24/7-Monitoring. Für Berater oder Coaches, die KI-Tools evaluieren, zeigt Fere einen konkreten Anwendungsfall, wie KI über reine Analyse hinaus in tatsächliche Entscheidungs- und Ausführungsprozesse eingreift. Das Produkt ist für Beratungskontexte jedoch wenig direkt relevant, kann aber als Referenzbeispiel dienen, wenn es darum geht, Klienten den Unterschied zwischen informationsliefernden und handlungsausführenden KI-Systemen zu erklären. Die Kommentare zeigen ein gemischtes Bild aus echtem technischen Interesse, gezielten Nachfragen zu Liquidität und Modell-Nutzungsbedingungen sowie vereinzelter Grundsatzskepsis – Begeisterung ist vorhanden, aber von kritischer Neugier durchzogen.
"Your AI should be making your trades, not just narrating them."
That line wouldn't leave us alone. So here we are.
I'm Aron. Pranav and I have been building autonomous AI since 2014, before agents were a buzzword. Enterprise AI for pharma, Fortune 100 ops, web3 infra. Multiple exits. A few brutal failures. One obsession throughout: AI that actually acts, not just answers.
Crypto handed us the perfect environment. But the workflow was broken. I was bouncing between six tabs every morning, and every "AI" I tried would research beautifully then hand me back the mouse. Not an agent. A fancy search engine.
The market splits into two failures:
Chatbots that walk you through a trade and never make it
Bots that fire orders all day and can't tell you why
Either way, you end up doing the work anyway. Fere is the third thing.
Tell it your thesis in plain English. It researches, trades, manages risk — with its own wallet, across multiple chains, for days unattended.
What you can hand it today:
→ "Track top 5 AI tokens by 7-day volume. Rebalance weekly. Cut anything down 20%, let winners run."
→ "Find me easy wins on polymarket"
→ "Every day buy 10$ of eth for me as long as it is under 2400$"
Why it works: most "AI agents" tap out after one prompt. Ours have been live 90+ days straight — reasoning, remembering, adapting, improving. Not scripts with vibes. Real system underneath: planner, retriever, analyst, executor, guardian.
Where we are: 7,000+ daily users. 10M+ autonomous executions. Backed by Ethereal Ventures, Galaxy Vision Hill, and Kosmos Ventures.
We're just getting started. Swarm framework goes open-source next. The agentic internet is coming — we're building the infrastructure early.
Try free at fereai.xyz , no card needed.
What's the trade or thesis you'd actually trust an AI to run? Drop it below 👇 Pranav and I are here all day.
~ Aron & Pranav
Excited to hunt Fere AI today!
I'm impressed by Fere AI's execution-first approach to agentic finance: turning market signals into crypto and Polymarket trades, not just research reports.
What I particularly appreciate is the focus on the full workflow: research the opportunity, build the setup, optimize routes and fees, and execute with a wallet.
The Polymarket angle also makes this stand out. Most crypto agents compete on research, but Fere is pushing further into autonomous execution.
Also: cheaper query + execution runs make the product feel practical.
The Polymarket integration is what got me.
You claim that most prediction market tools just surface odds while Fere actually trades them autonomously...
Curious how the agent decides which markets are worth entering. Is it purely signal-based or does it factor in liquidity and market depth too? Because thin markets on Polymarket can move fast once a position opens.
@0xaron would love to understand the edge here vs. just trading spot crypto.
Question for the team - is leverage trading on the roadmap?
The execution-first approach makes a lot of sense for spot and prediction markets. But the real unlock for an autonomous agent feels like perps and leverage, where speed and signal quality actually compound.
A lot of AI trading tools stop at spot because leverage adds complexity. Curious if Fere is going there or deliberately staying away from it.
Gave it a shot, alpha is unreal. Congrats on shipping this you lot.
Looking forward to trying out AI quant next week
Congrats on the launch, Aron and team!
Building agents myself, the hardest unsolved problem isn't capability; it's reliability over long horizons.
What's your approach to handling task drift and error recovery in multi-step flows? This is where most agent products silently fail.
How does Fere optimize routes and fees compared to manual execution?