Build an AI Crypto Trading Bot

Vibe-code an AI trading bot where an LLM decides buy/sell/hold each cycle from live indicators — and Cryptohopper runs the trades on your exchange.

How it works

Step 1

Describe your idea

Write a plain-text prompt describing what you want.

Step 2

AI builds it

Cryptohopper generates production-ready code instantly.

Step 3

Deploy & go live

Your project is hosted on its own subdomain in minutes.

Why build with AI instead of hiring a developer?

	Cryptohopper	Traditional developer
Time to launch	Under 5 minutes	2-8 weeks
Cost	From $0	$5,000 - $50,000+
Maintenance	Included	Ongoing retainer

What is a ai trading bot?

An AI trading bot hands the decision to a language model: instead of a fixed if-RSI-below-30 rule, the bot feeds the model a snapshot of the market — price, RSI, fast and slow moving averages, recent change — and asks for a buy, sell or hold with a confidence score. That makes it adaptable in a way hard-coded indicators aren't, but it also demands discipline: the model must be treated as advisory, its output strictly validated, and execution gated behind confidence and a paper-trading default. Cryptohopper.AI builds exactly that — pure, testable feature and parsing code, a dashboard that shows the model's latest read, and execution wired to Cryptohopper so confident decisions actually become orders on your exchange.

Common features

An AI model decides buy/sell/hold each cycle from live indicators
Confidence threshold so only strong signals trade
Plain-English reasoning for every decision
Strict validation — malformed replies safely become 'hold'
Paper mode by default; live orders via your Cryptohopper hopper
Selectable model tier (fast / smart / reason)

Real-world examples

Confidence-gated BTC bot

An AI bot that only acts on BTC when the model's confidence clears 0.7, otherwise it sits in cash — fewer, higher-conviction trades.

Explainable trading

Every decision comes with a short rationale, so you can see why the AI bought or sold rather than trusting a black box.

Paper-first autonomy

Run the AI fully autonomously in paper mode for a few weeks, review the log, then flip to live when you trust it.

Why Cryptohopper.AI fits ai trading bot projects

Letting an AI trade is only safe if the plumbing is right. Cryptohopper.AI writes the feature extraction and response parsing as pure, unit-tested code, validates every model reply, gates orders behind a confidence threshold, and defaults to paper — then wires confident decisions to Cryptohopper so they land on your exchange. Change the model tier, the indicators it sees, or the confidence bar just by chatting.

Try these prompts

Copy any prompt below and paste it into Cryptohopper to get started.

Build me an AI trading bot for BTC/USDT where an AI model reads RSI, moving averages and recent price action every 5 minutes and decides buy, sell or hold, placing orders through Cryptohopper in paper mode.

Create an AI crypto bot with a confidence threshold so it only trades when the model is highly confident, and a dashboard showing the latest decision and its reasoning.

Make an AI-powered bot that trades ETH based on a model's read of momentum and trend, defaulting to paper trading until I enable live.

Build an autonomous AI trading bot that explains every decision in plain English and lets me pick the model (fast, smart or reason).

Frequently asked questions

How does an AI trading bot work?

On each cycle the bot computes a compact set of indicators (price, RSI, moving averages, recent change) and asks an AI model to return a buy/sell/hold decision with a confidence score. When the decision clears your confidence threshold and live trading is enabled, Cryptohopper places the order on your connected exchange.

Does Cryptohopper execute the AI's trades?

Yes. The AI only decides; Cryptohopper runs the order on your connected account. The bot ships in paper mode and never trades real funds until you explicitly enable live trading.

Is it safe to let an AI trade?

The AI is advisory, not an authority: its reply is strictly validated and any malformed or low-confidence response is treated as 'hold'. Combined with paper-by-default and a confidence gate, you stay in control. AI can still be wrong — start on paper and watch it.

Which AI model does it use?

It uses the built-in Cryptohopper.AI gateway (fast, smart or reason tiers) — no separate API key required — and you can switch tiers from your project settings.

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