Build a Crypto Strategy Backtester with AI
Vibe-code a backtester that runs a strategy over historical candles — equity curve, win rate, drawdown.
Come funziona
Passo 1
Descrivi la tua idea
Scrivi un prompt in testo semplice che descriva cosa vuoi.
Passo 2
L'AI lo costruisce
Cryptohopper genera codice pronto per la produzione istantaneamente.
Passo 3
Distribuisci e vai live
Il tuo progetto è ospitato sul proprio sottodominio in pochi minuti.
Perché costruire con l'AI invece di assumere uno sviluppatore?
| Cryptohopper | Sviluppatore tradizionale | |
|---|---|---|
| Tempo di lancio | Meno di 5 minuti | 2-8 settimane |
| Costo | Da $0 | $5.000 - $50.000+ |
| Manutenzione | Inclusa | Contratto continuativo |
What is a crypto strategy backtester?
A backtester is how you find out whether an idea is real before it costs you money. Replay a strategy over historical candles and you get an honest picture: the equity curve, total return against simple buy-and-hold, win rate, and — the number that actually matters — maximum drawdown. Most strategies that sound clever fall apart here, and that's the point: it's far cheaper to discover that on past data than in your live account. The hard part is the machinery — fetching clean candles, simulating entries and exits without look-ahead bias, and computing the stats correctly. Cryptohopper.AI generates all of it from a description, and when a strategy holds up, the very next prompt can turn it into a live bot that Cryptohopper runs.
Common features
- Run a strategy over real historical candles
- Equity curve and return vs buy-and-hold
- Win rate, average win/loss, and maximum drawdown
- Selectable strategies (MA cross, RSI, MACD, Bollinger)
- Configurable pair, timeframe, and parameters
- Trades marked on the price chart
Real-world examples
MA crossover sanity check
Backtest a golden/death-cross system on BTC to see if it actually beats buy-and-hold after the whipsaws.
Parameter sweep
Try a few RSI thresholds and periods to understand how sensitive the results are before committing.
Backtest → live
Validate a strategy on history, then generate the matching Cryptohopper bot to run it forward.
Why Cryptohopper.AI fits crypto strategy backtester projects
Cryptohopper.AI writes the simulation correctly (no look-ahead), pulls candle data from a source that works from the cloud, and gives you the metrics that matter — then bridges straight to a live bot Cryptohopper runs. Design, test, and deploy a strategy without leaving the chat.
Prova questi prompt
Copia uno dei prompt qui sotto e incollalo in Cryptohopper per iniziare.
Build me a strategy backtester that runs a moving-average crossover over historical candles and shows the equity curve, return vs buy-and-hold, win rate, and max drawdown.
Create a backtester I can point at a pair and timeframe, with selectable strategies (RSI, MACD, Bollinger).
Make a backtester that shows each trade on the price chart and summarises the stats.
Build a clean backtesting tool with a parameter panel and performance metrics.
Domande frequenti
What does the backtester do?
Which strategies can it test?
Can I then turn a strategy into a live bot?
Builder correlati
Esplora altre categorie
RSI Signal Bot
Vibe-code an RSI signal bot that buys oversold and sells overbought — Cryptohopper runs the trades on your exchange.
MACD Bot
Vibe-code a MACD crossover bot that trades momentum shifts — Cryptohopper runs it on your connected exchange.
Moving Average Crossover Bot
Vibe-code a moving-average crossover bot (golden/death cross) — Cryptohopper runs the trades.
Bollinger Bands Bot
Vibe-code a Bollinger Bands bot that fades the edges or trades the squeeze — Cryptohopper runs it.
Grid Trading Bot
Vibe-code a grid trading bot that buys low and sells high across a price range — Cryptohopper runs it on your connected exchange.
Crypto Trading Journal
Vibe-code a trading journal to log trades, tag setups, and review your win rate and R-multiples.
Pronto a costruire?
Inizia a costruire il tuo progetto ora — senza competenze di programmazione.
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