Chainstream provides extensive multi-market data for crypto tokens, aggregating real-time information seamlessly from both decentralized exchanges (DEX) and centralized exchanges (CEX). This integrated approach enables developers and analysts to monitor token performance, trading volumes, and market depth across diverse exchange types, providing a comprehensive view of the crypto trading landscape.

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Supported Decentralized Exchanges (DEX)

DEX Integration

Chainstream aggregates liquidity and transaction data from leading decentralized exchanges operating across major blockchain ecosystems, including:

  • Ethereum
  • Binance Smart Chain
  • Solana
  • Polygon
  • Arbitrum
  • And more…

We continuously enhance our DEX integration to offer the most accurate and complete decentralized market data available.

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Supported Centralized Exchanges (CEX)

CEX Integration

In addition to decentralized sources, Chainstream also provides robust, real-time market data from major centralized crypto exchanges. Our CEX data feeds allow developers to effortlessly track:

  • Token prices
  • Market volume
  • Detailed order book data

Access data across multiple exchanges from one integrated API.

Chainstream actively expands its supported exchanges list, continually improving data comprehensiveness and accuracy.

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Liquidity & Order Book Data

Liquidity represents the ease with which an asset can be traded without causing significant price movements. Chainstream’s Advanced Liquidity Analytics aggregates real-time orderbook data across multiple exchanges, providing two critical indicators—Liquidity Delta and Spread Distribution—to deliver deep insights into market sentiment, buying/selling pressure, and volatility.

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Key Features

Aggregated Liquidity Data

Definition: Chainstream consolidates liquidity data from various DEX and CEX platforms, providing unified market-depth visibility.

Purpose: Aggregated data eliminates single-exchange anomalies, offering an accurate representation of the overall market liquidity.

Visualization: Unified metrics across all liquidity indicators and orderbook visualizations, ensuring consistency and clarity.

Orderbook Liquidity Delta

Definition: Liquidity Delta measures the net difference between bid (buy) and ask (sell) volumes within a ±1% range around the current market price.

Purpose: Reveals immediate market sentiment, highlighting whether buying (positive delta) or selling (negative delta) is dominant.

Visualization: Real-time chart illustrating shifts in aggregated liquidity across exchanges, dynamically updating market sentiment.

Orderbook Spread Distribution

Definition: Illustrates the range and frequency of bid-ask spreads aggregated over selected intervals (e.g., 1-minute, 5-minute, 15-minute).

Purpose: Enables users to assess market liquidity consistency and potential slippage when executing orders.

Visualization: Interactive charts displaying spread fluctuations and their mean values over customizable timeframes.

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Factor

Understanding Liquidity Delta

The Orderbook Liquidity Delta chart provides critical insights into market sentiment:

Positive Delta: Suggests stronger buying interest with bid volumes exceeding ask volumes. Potentially indicates upward price momentum.

Negative Delta: Indicates dominant selling activity, with higher ask volumes than bid volumes, suggesting potential downward price pressure.

Liquidity Delta offers immediate market sentiment insight but does not directly translate to guaranteed price movements. Factors, like hidden “iceberg” orders and large market orders, can significantly affect actual trading outcomes.

Analyzing Spread Distribution

The Spread Distribution chart helps traders evaluate market liquidity dynamics and transaction cost implications:

Narrow Spread: Implies high liquidity, efficient execution, and minimal price impact.

Wide Spread: Indicates lower liquidity, increased execution costs, and higher risk of price slippage.

Analyzing spread distribution over varying intervals helps identify optimal trade execution times and potential market volatility risks.

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Important Considerations

Limitations and Best Practices

While Liquidity Delta and Spread Distribution metrics offer powerful market insights, users should acknowledge their limitations:

The Liquidity Delta represents a current snapshot, not a predictive indicator. Actual price movements can diverge significantly due to hidden liquidity, iceberg orders, and large trades.

Aggregated data offers broad insights but might obscure individual exchange behaviors, potentially affecting precise execution decisions.

Market conditions evolve rapidly. Complement these analytics with additional market intelligence and technical indicators for comprehensive trading strategies.

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