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CandleSniff gives data experts, traders, and retail investors the tools to analyze crypto markets, backtest strategies, and publish signals — all in one ecosystem.
Capabilities
Everything you need to trade with confidence
From deep analytics to social trading, we have the tools you need.
Deep Market Analytics
Analyze crypto markets with institutional-grade data, charts, and indicators.
Strategy Backtesting
Test your strategies against historical data before risking real capital.
Social Trading Ecosystem
Publish and follow strategies, signals, and portfolios from top traders.
Multi-Exchange Support
Connect to leading crypto exchanges through our unified CCXT integration.
Jupyter Notebooks
Run advanced data analysis with integrated Jupyter notebooks.
Smart Alerts
Get real-time alerts for your strategies, signals, and market movements.
Workspace
Jupyter Notebooks
Run advanced data analysis with integrated Jupyter notebooks.
- Real Pythonpandas, polars, scikit-learn — not a proprietary DSL
- Cloud CPU & GPUScale past the browser, metered by the second
- One resolverEvery dataset a line of code away
import candlesniff as cs
df = cs.load("@user:kian/datasets/market_data/BTC_1h")
df.tail(3)| time | open | close | volume |
|---|---|---|---|
| 08-16 14:00 | 67,412.5 | 67,891.0 | 1,284.1 |
| 08-16 15:00 | 67,891.0 | 67,545.2 | 982.7 |
| 08-16 16:00 | 67,545.2 | 68,102.8 | 1,511.9 |
# 20-period mean cross, long-only
signal = df.close > df.close.rolling(20).mean()
cs.backtest(signal, fees=0.001).summary()