CryptoCompare API

The CryptoCompare API aggregates real-time and historical cryptocurrency market data from 300+ exchanges into a single, normalized feed — giving StratBase.ai traders a reliable foundation for backtesting strategies across price action, on-chain metrics, and social sentiment simultaneously.

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At its core, CryptoCompare API serves the CCCAGG index — a proprietary volume-weighted average price that smooths exchange-specific anomalies by blending quotes across all contributing venues. For backtesting on StratBase.ai's 1,700+ crypto pairs, this means your historical fills reflect true market prices, not a single exchange's idiosyncratic spike.

Core data categories:

• OHLCV candles at minute, hourly, and daily intervals — daily history back to 2015 for BTC/ETH; multi-year minute data on paid tiers
• Blockchain metrics: hashrate, network difficulty, active address counts, transaction volumes, block confirmation times
• Social signals: Reddit post counts, Twitter mentions, GitHub commit activity, community growth rates
• Exchange-level feeds: order book snapshots, per-exchange volume, liquidity depth across 250,000+ trading pairs
• News aggregation: timestamped headlines from 50+ sources, categorized by regulatory, security, and partnership events
• WebSocket streaming: sub-50ms real-time price updates for live validation after backtesting

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Sentiment-momentum entry: A swing trader backtests a rule where BTC generates a BUY signal when Reddit mentions spike 50%+ week-over-week and price closes above the 20-day MA. Using CryptoCompare's social endpoint alongside StratBase.ai's 239 indicators, they measure whether sentiment precedes price moves by 1–3 days — and optimize entry timing across three full market cycles.

Miner capitulation bottom-picking: A quant builds a multi-factor model where falling Bitcoin hashrate combined with declining on-chain transaction fees signals a market bottom. CryptoCompare's blockchain metrics feed directly into a StratBase.ai backtest spanning 2018–2024, revealing win rate and average hold duration when both conditions co-occur.

Breakout confirmation filtering: A momentum trader pulling altcoin breakout signals on StratBase.ai uses CCCAGG volume data to filter out single-exchange price spikes. Only breakouts confirmed by volume across the majority of contributing exchanges trigger entries — reducing false positives on low-liquidity pairs dramatically.

News-event reaction strategy: A trader backtests shorting assets within 4 hours of negative regulatory headlines appearing in CryptoCompare's news feed, holding until a defined recovery threshold. Precise news timestamps let StratBase.ai measure average drawdown depth and recovery duration by news category.

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StratBase.ai's Rust-powered backtesting engine processes CryptoCompare data with full indicator support across all 1,700+ crypto pairs. Practical integration points:

• Multi-timeframe strategies: Pull minute candles for entry triggers and daily candles for trend context — both sourced from CryptoCompare, both testable in a single StratBase.ai backtest
• Sentiment thresholds as conditions: Build StratBase.ai rules like "Buy when GitHub commits exceed 90th percentile AND RSI < 40" and measure historical expected value against CCCAGG price data
• Realistic fill modeling: CCCAGG prices tighten the gap between backtest results and live performance, since fills reflect blended market prices rather than optimistic single-exchange quotes
• Stress testing across cycles: With years of minute-level history on paid plans, StratBase.ai backtests run through bull runs, bear markets, and choppy consolidations — essential for validating strategy robustness

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| Detail | Value | |---|---| | Base URL | https://min-api.cryptocompare.com | | Auth | Apikey header | | Free tier | 100K calls/month, 7-day minute history | | Professional | $79.99/month — 2.5M calls, full multi-year history | | WebSocket | wss://streamer.cryptocompare.com, <50ms latency | | Response format | JSON |

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CryptoCompare API Documentation · Pricing · WebSocket Guide