Quickstart

From zero to a live AI trader in about ten minutes.

This quickstart takes you from signing up to watching your first AI trader analyze the market. Nothing here requires writing code.

What you will need

• An email address and a password for your Hyperoru account.
• An API key for a language model. OpenAI, Anthropic, Google, DeepSeek, or any OpenAI-compatible provider works. Free trials work fine for testing.
• An exchange account on Hyperliquid or Binance Futures — testnet is recommended for your first trader.

If you are nervous about real money, you can do every step of this guide on testnet and never touch real funds. Switch to mainnet only when you are satisfied with how your trader behaves.

Step 1: Create your Hyperoru account

Sign up on the Hyperoru dashboard. Once you are in, you will land on the main overview showing traders, positions, and recent decisions.

Step 2: Create an AI trader

1. Open AI Traders

   Click AI Traders in the sidebar, then Create new trader.

2. Name your trader

   Give it a descriptive name. Something like “BTC Swing Trader” or “ETH Breakout v1” is ideal — you will want to tell it apart from others later.

3. Pick a language model

   Select a provider (OpenAI, Anthropic, Google, DeepSeek, or a custom endpoint), paste your API key, and choose a model. gpt-4o and claude-sonnet-4-20250514 are solid defaults.

4. Connect an exchange wallet

   In the trader’s Exchange tab, pick Hyperliquid or Binance and follow the per-exchange instructions in Exchange setup. Hyperliquid uses an API Wallet; Binance uses an API key and secret. Always restrict keys to the narrowest permissions possible.

When you set up Binance, untick Enable Withdrawals on the API key. Hyperoru never needs withdrawal access to trade on your behalf.

Step 3: Pick a strategy type

Your AI trader needs a strategy that decides what to do when it looks at the market.

Prompt strategy

Describe how you want to trade in plain English. The language model reads live market context and returns a decision. Best for judgment-based trading and if you do not code.

Program strategy

Write a short Python class with rules you control exactly. Best for deterministic trading, precise risk management, and strategies you want to backtest repeatably.

You can always switch later, and you can run multiple traders with different strategies side by side.

Step 4: Decide when the strategy runs

Strategies do not run constantly — that would be expensive and noisy. They run when a signal fires.

1. Open Signals

   Click Signals in the sidebar, then Create signal pool.

2. Pick symbols

   Add the tickers you want to watch, for example BTC, ETH, SOL.

3. Add trigger conditions

   Pick from built-in conditions: price breakouts, open-interest surges, funding-rate spikes, volume anomalies, or custom metric thresholds.

4. Combine with AND / OR

   Combine conditions with AND/OR logic so the signal only fires when the market state really matches what you want.

See Signal system for every built-in condition and how to compose them.

Step 5: Go live

1. Bind the strategy

   In the trader’s settings, point it at the strategy you created in step 3.

2. Attach the signal pool

   Set the signal pool from step 4 as the trigger source.

3. Start trading

   Toggle Start Trading. From this point on, whenever your signal fires, your strategy analyzes the market and may place trades.

4. Watch it work

   Open the Arena view to see decisions as they happen, or the Analytics dashboard to review performance over time.

Crypto perpetuals carry real risk of losing more than your initial margin. Start small, start on testnet, and scale up only once the trader behaves the way you expect.

What next

Core concepts

Traders, strategies, signals, decisions — the vocabulary of Hyperoru.

How the platform works

A plain-English tour of what happens between a signal firing and an order reaching the exchange.

Trust and safety

Everything we do to keep your keys and funds safe.

FAQ

Questions new users most often ask.