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.

Como funciona

Passo 1

Descreva a sua ideia

Escreva um prompt em texto simples descrevendo o que pretende.

Passo 2

A IA cria

O FloopFloop gera código pronto para produção instantaneamente.

Passo 3

Implementar e lançar

O seu projeto é alojado no seu próprio subdomínio em minutos.

Por que criar com IA em vez de contratar um programador?

FloopFloopProgramador tradicional
Tempo até ao lançamentoMenos de 5 minutos2 a 8 semanas
CustoA partir de 0 $5.000 $ - 50.000 $+
ManutençãoIncluídaRetainer contínuo

What is a crypto trading bot?

A crypto trading bot codifies a strategy and runs it on a schedule against a live exchange. Instead of staring at charts or setting price alerts, you express the rules in code (or in this case, in prompt) and the bot evaluates them every few minutes against live market data. The most defensible strategies are conservative: dollar-cost averaging with rebalance triggers, RSI- or moving-average-based entries with tight stop-loss rules, or simple grid-trading inside a known range. The most dangerous bots are the ones that promise alpha through complexity — they overfit on backtests and bleed on live data. A good bot project keeps the strategy small, runs in paper-mode for at least a few weeks before deploying real capital, logs every decision with reasoning, and surfaces a live dashboard so a human can sanity-check the bot's behaviour before it touches a real wallet.

Common features

  • Strategy expressed as a small set of rules (RSI, MA cross, DCA, grid)
  • Paper-trading mode by default — never live without explicit opt-in
  • Scheduled evaluation (every N minutes) via a cron job
  • Per-trade log with timestamp, reason, and outcome
  • Live P&L dashboard with realised vs. unrealised gains
  • Position sizing rules and global drawdown circuit-breaker
  • Exchange API key stored encrypted as a project secret
  • Cryptohopper integration for hopper-as-execution-engine workflows
  • Telegram or email alerts on trade execution and circuit-breaker trips
  • Backtest mode that replays a historical window against the strategy

Real-world examples

DCA with rebalance

Buys a fixed amount of BTC every Monday morning. Rebalances to a 70/30 BTC/ETH split monthly. Boring, safe, and effective.

RSI mean-reversion

Enters when RSI dips below 30 on the 4h chart, exits at +5% or 24h timeout. Paper-traded for a month before going live with 1% position size.

Grid bot in a sideways market

Places buy / sell orders at fixed price intervals inside a defined range. Cancels and exits if price breaks the range.

Why FloopFloop fits crypto trading bot projects

Most crypto trading bots die in the gap between 'I want to test this strategy' and 'the websocket dropped overnight and I lost the position'. FloopFloop integrates with Cryptohopper, which has solved the boring-but-critical execution layer — order placement, slippage handling, exchange-API quirks — so your prompt describes the strategy, not the plumbing. The bot lives at its own subdomain with a live dashboard, runs on a scheduled cron job, and you iterate on the strategy in chat: 'tighten the stop-loss to 2%', 'add an Ethereum leg', 'pause the bot when 24h volume drops below X'. Real capital stays in your exchange account, behind your API key, with a paper-mode default so a bad prompt can't bleed your wallet.

Experimente estes prompts

Copie qualquer prompt abaixo e cole-o no FloopFloop para começar.

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.

Perguntas frequentes

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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