Use cases

AI Agents for Every Market

Build and deploy AI agents for automated trading and prediction markets, analyzing real-time data, detecting opportunities, and executing strategies across venues, automatically.

Automated Trading Agent

What you can do with automated trading agents

Design trading agents that monitor markets, analyze signals, and execute strategies automatically based on real-time data.

Spot market changes

Catch momentum shifts and volatility spikes before they become obvious.

Automate your trades

Turn your rules into actions. Your agent executes while you focus.

Use more than one signal

Combine price, news, and sentiment to make smarter decisions.

Trade across exchanges

Connect Hyperliquid, Coinbase, OKX, Alpaca, and Trade[XYZ], and manage every trade from one place.

At a glance

AI trading agents continuously analyze market data, evaluate probabilities, and execute trades according to your strategy.

Get started now

Market Data

Collect and process real-time price, volume, and order book data.

01

Signals

Trade signals based on indicators, patterns, and models.

02

Execution

Place, manage, and close positions automatically at the right time.

03

Prediction Market AI Agent

What you can do with prediction market agents

Build agents that monitor real-world events, track probability shifts, and execute automated strategies based on real-time signals.

Monitor events

Track sports, elections, and breaking news as they unfold in the real world.

Analyze signals

AI models weigh how probabilities are shifting in the market.

Track probability shifts

Track probability shifts as they happen.

Execute trades

Place trades automatically the moment your conditions are met.

At a glance

Prediction markets are event-based markets where traders price the probability of future outcomes, a natural fit for autonomous agents.

Get started now

Events

Track what happens in the real world, from sports to elections.

01

Probabilities

Measure what shifts in the market and where the value sits.

02

Execution

Act at the right time, based on your strategy.

03

Create your agent, the way you want

Chat with Nick, start from proven templates, clone community workflows, or build from scratch: four ways to launch your first agent.

Create my agent

Okay, let’s build your trading agent

I’ll set up the triggers, conditions, and execution logic for you.

Nick is working…

Chat with Nick

Describe your strategy in plain language. Nick converts it into a complete agent: signals, rules, and automated execution. No code, no complexity.

Grid TradingBuy/sell orders at intervals to trade volatility.
DCA AgentAuto-invest on schedule. Set amount and frequency, let it run.Verified
Momentum TraderRide trends with entries timed by momentum signals.Verified

Start with Templates

Choose a proven strategy template and customize assets, risk limits, timing, and triggers. Skip the setup and deploy in minutes.

Top ranked

created by whale_watcher

Whale Alert Trader

Trading

Monitors large wallet movements and exchange flows in real time. Trades when whales accumulate or distribute.

PopularWidely cloned
Clone this template

Clone from Community

Discover what successful traders built. Clone their agents, see how they work, and adapt their strategies to your market and risk settings.

Add node
AllTriggersData sourcesLogicActions
Time basedRun your workflow on a schedule
Price DataReal-time and historical asset prices
Order ExecutionPlace and manage orders automatically

Build from Scratch

Design your agent step by step with visual blocks. Fine-tune monitoring, AI analysis, and execution, with complete control over every node.

Frequently asked questions about AI agents

Quick answers to the most common questions about trading and prediction market agents, workflows, and automated execution.

An AI trading agent is an automated workflow that watches markets, evaluates signals with multi-model LLM consensus, and executes your strategy around the clock, no code required. You design the logic; the agent handles monitoring and execution.

No. Describe your strategy in chat and Nick builds the agent for you, or start from a proven template, clone a community workflow, or compose visual blocks. Every path is fully no-code.

Yes. The same workflow engine drives both: connect prediction market venues like Kalshi alongside exchanges like Hyperliquid, Coinbase, OKX, Alpaca, and Trade[XYZ], and run agents across all of them from one place.

Agents monitor real-world events, track how probabilities shift in the market, and compare them against their own models. When your conditions are met, they place trades automatically within your limits.

Every plan includes paper trading with $100,000 in simulated capital, so you validate strategies before going live. Agents respect the risk limits, position sizes, and execution rules you define, and you can pause or stop them anytime.

Yes. Save your workflows as templates, clone agents built by the community, and adapt any strategy to your own markets and risk settings, no need to start from scratch.