Build your Crypto Trading Bot with AI in under 5 minutes

Build an AI-generated crypto trading bot with live Cryptohopper execution. Paper-mode by default, scheduled strategy evaluation, and a live dashboard — no coding required.

So funktioniert es

Step 1

Beschreiben Sie Ihre Idee

Schreiben Sie eine Beschreibung in Textform, die erklärt, was Sie möchten.

Step 2

Die KI erstellt es

FloopFloop generiert sofort produktionsreifen Code.

Step 3

Bereitstellen & live gehen

Ihr Projekt wird innerhalb von Minuten auf einer eigenen Subdomain gehostet.

Warum mit KI statt mit einem Entwickler bauen?

FloopFloopTraditioneller Entwickler
Zeit bis zum LaunchUnter 5 Minuten2–8 Wochen
KostenAb 0 $5.000 $ – 50.000 $+
WartungInklusiveLaufendes Honorar

Probieren Sie diese Prompts aus

Kopieren Sie einen der folgenden Prompts und fügen Sie ihn in FloopFloop ein, um zu starten.

Build an RSI signal bot that watches BTC/USDT on a 5-minute candle. Place a buy when RSI drops below 30 and a sell when RSI rises above 70. Gate live orders behind a LIVE_TRADING env flag so paper mode is the default. Add a dashboard showing the current signal, the last price, and whether the bot is paper or live.

Create a daily DCA bot that buys a fixed amount of Bitcoin from my Cryptohopper account every day at 13:00 UTC. Let me set the base coin (BTC or ETH) and buy amount as project secrets. Show a dashboard with the configured cadence, the connected hopper, and a warning when LIVE_TRADING is off.

Build a MACD crossover bot on SOL/USDT. Use a 15-minute candle, fetch closes from Binance public klines, compute MACD with the default 12/26/9 parameters, and place a market order on my Cryptohopper hopper on each crossover. Add a dashboard with the MACD histogram, the last crossover, and recent orders.

Design a multi-coin DCA tracker: pick three coins (BTC, ETH, SOL), buy a set dollar amount of each every week, and render a portfolio dashboard with cost basis, current value (from Binance spot price), and profit percentage per coin. Use Cryptohopper for execution.

Häufig gestellte Fragen

Does FloopFloop actually place real orders?
Orders route through Cryptohopper — you connect your Cryptohopper account via OAuth on the Secrets tab, and the generated bot calls Cryptohopper's REST API to place buys/sells. FloopFloop itself never holds your keys or funds. Every template ships with LIVE_TRADING=false by default, so the first fires run in paper mode until you flip the flag.
Which exchanges are supported?
Cryptohopper handles the exchange connection, so any exchange Cryptohopper supports works — Binance, Kraken, Coinbase, KuCoin, Bitfinex, Bybit, OKX, Gemini, Gate.io, MEXC, and more. You set up the hopper on Cryptohopper with your exchange's API keys, then give FloopFloop the hopper ID.
How do I connect my Cryptohopper account?
Open your generated project, go to Project Settings → Secrets, and click Connect Cryptohopper on the integration card at the bottom of the tab. You'll be redirected to Cryptohopper to approve read/trade/manage scopes, then land back with tokens ready. FloopFloop refreshes tokens automatically every 30 minutes.
Can I write my own strategy, or am I stuck with the template?
Either works. The cryptohopper-signal-bot template ships with an RSI strategy in src/lib/strategy.ts that you can edit freely — swap in MACD, Bollinger Bands, a machine-learning model, whatever. Or start from a blank prompt and describe the strategy in English; the AI writes the code.
How does scheduling work?
Each project gets a built-in cron primitive. Templates declare schedules in a floop.crons.json manifest that auto-registers on first deploy, and you can add, edit, pause, or delete jobs from Project Settings → Secrets → Scheduled Jobs. The minimum interval is 1 minute and each fire gets a 30-second handler budget.
Is this legal / safe?
FloopFloop is a builder, not a trading service — the legal framework around your bot is between you, your exchange, and Cryptohopper. Check your jurisdiction's rules before running live orders, start with paper trading (the default), and never commit funds you can't afford to lose. Past performance is not indicative of future results; this is not financial advice.

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