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Limit Order Price API: Crypto Price API for Limit Orders

The Problem: Why Raw Trade Data Fails for Limit Orders​

Finding reliable price for limit order execution is critical for automated trading systems. Raw DEX trade data creates unreliable price signals that trigger false limit order executions, making a dedicated limit order price API essential for trading platforms.

Pool-Based Monitoring Issues​

Current platforms monitor pool-based DEX streams filtered by specific addresses, but sometimes even a $500 trade can move prices 20-50% in less liquid pools:

  • False triggers: Price spikes cause unintended executions, requiring complex retry logic
  • No pre-execution validation: Systems skip validation to avoid latency, relying on user slippage tolerance
  • User behavior: Traders gravitate toward liquid pools, leaving smaller pools vulnerable
  • System complexity: Sophisticated retry mechanisms needed for erratic executions
  • Poor execution: Bad price signals reduce user confidence

Cross-DEX Price Fragmentation​

The same token can trade at vastly different prices (e.g., $100 on Uniswap vs $95 on SushiSwap) due to liquidity isolation, arbitrage delays, and varying AMM formulas.

The Solution: Aggregated Price Streams​

Bitquery's Crypto Price API for limit orders provides aggregated price data with built-in dampening mechanisms, serving as a reliable limit order price API:

Multi-pool aggregation across all major DEXs
Cross-chain price discovery for market-wide pricing
Real-time USD pricing with built-in conversion
Time & volume thresholds preventing manipulation

Try the API live ➤

How Price Aggregation Works​

1. Time-Based Aggregation (1s to 1h)​

  • 1-3s: High-frequency trading with minimal smoothing
  • 5s: Optimal for most automated platforms
  • 30s: Swing trading with reduced noise
  • 1h: Long-term portfolio management

2. Volume Thresholds ($1K to $1M)​

  • $1K+: Small-cap tokens
  • $10K+: Mid-cap tokens
  • $100K+: High-cap tokens
  • $1M+: Enterprise stability

3. Multi-Chain Coverage​

  • Ethereum: Uniswap, SushiSwap, Curve, 1inch
  • Solana: Raydium, Orca, Jupiter
  • BSC: PancakeSwap, Venus
  • Cross-chain normalization for unified pricing

4. Bad Trade Filtering​

Automatic outlier removal:

  • Statistical anomaly detection
  • Flash loan/MEV attack filtering
  • Moving averages (SMA, WMA, EMA)
  • Anomaly-resistant OHLC

TradingView Integration​

TradingView integration can be achieved through a custom datafeed that connects to Bitquery's real-time price streams. The datafeed supports multiple timeframe resolutions (1s to 1h), subscribes to real-time OHLC data via WebSocket, and provides the structured bar data format that TradingView requires for live chart updates. This enables professional-grade charting with institutional-quality aggregated price data.

View live TradingView demo ➤

Production Resources​

Complete Tutorial: Follow our comprehensive TradingView Real-Time Streaming Tutorial that shows how to integrate Bitquery's Crypto Price API with TradingView's Advanced Charts.

Production-Ready Code:

Quick Start: Simply copy the Advanced Charting Library into your project, add your Bitquery access token, and you're ready to stream real-time crypto price data to TradingView charts.

Raw vs Aggregated Price Data: Real Examples​

Raw Trade Data Issues (DEXTradeByTokens API)​

Using raw DEX trade data directly can lead to unreliable limit order triggers. Here's what you typically see:

Example: ETH Price Volatility from Raw Trades

subscription {
  EVM {
    DEXTradeByTokens(
      where: {Trade: {Currency: {Symbol: {is: "WETH"}}}}
    ) {
      Trade {
        PriceInUSD
        AmountInUSD
      }
      Block {
        Time
      }
    }
  }
}

Run this query ➤

Typical Raw Data Results:

  • 12:00:01 - $2,420.15 (normal trade)
  • 12:00:02 - $3,890.44 (+60% spike from $500 sandwich attack)
  • 12:00:03 - $2,418.33 (back to normal)
  • 12:00:04 - $1,205.67 (-50% crash from MEV bot)
  • 12:00:05 - $2,422.89 (normal again)

Result: Your limit orders at $2,500 would trigger falsely on the $3,890 spike, executing at poor prices.

Aggregated Price Data Solution (Crypto Price API)​

The same ETH data through aggregated price feeds provides stability:

Example: ETH Price with 5-Second Time Aggregation

subscription {
  Trading {
    Tokens(
      where: {
        Token: {Symbol: {is: "WETH"}, Network: {is: "ethereum"}}
        Interval: {Time: {Duration: {eq: 5}}}
      }
    ) {
      Price {
        Ohlc {
          Open
          High  
          Low
          Close
        }
        Average {
          Mean
          SimpleMoving
          WeightedSimpleMoving
        }
      }
      Volume {
        Usd
      }
    }
  }
}

Run this query ➤

Aggregated Results (Same Time Period):

  • 12:00:05 - OHLC: $2,420/$2,425/$2,418/$2,423 (Stable range)
  • Mean Price: $2,421.50 (outliers filtered)
  • Volume: $847,500 (sufficient for reliability)

Result: Your limit order at $2,500 remains inactive, preventing false execution.

Types of Aggregation Available​

1. Time-Based Aggregation​

Available Intervals: 1, 3, 5, 10, 30, 60, 300, 900, 1800, 3600 seconds

Use Cases by Interval:

  • 1-3 seconds: High-frequency trading with minimal smoothing
  • 5-10 seconds: Standard automated trading platforms
  • 30-60 seconds: Swing trading and portfolio management
  • 15+ minutes: Long-term position management

Production Examples:

2. Volume-Based Aggregation​

Available Thresholds: $1,000, $10,000, $100,000, $1,000,000

subscription {
  Trading {
    Tokens(
      where: {
        Token: {Symbol: {is: "USDC"}}
        Interval: {TargetVolume: {eq: 100000}}
      }
    ) {
      Price {
        Ohlc {
          Close
        }
      }
      Volume {
        Usd
      }
    }
  }
}

Try volume-based aggregation ➤

Example Results:

  • $100k volume threshold: Price updates only when $100k+ traded
  • Result: Ultra-stable pricing, immune to low-volume manipulation
  • Update frequency: Variable (every 30 seconds to 5 minutes depending on activity)

3. Multi-Chain Currency Aggregation​

Cross-chain Bitcoin pricing example:

subscription {
  Trading {
    Currencies(
      where: {Currency: {Id: {is: "bid:bitcoin"}}}
    ) {
      Price {
        Ohlc {
          Close
        }
      }
      Volume {
        Usd
      }
    }
  }
}

Run cross-chain Bitcoin query ➤

Aggregation Sources:

  • Native BTC on Bitcoin network
  • WBTC on Ethereum
  • Wrapped BTC on Solana
  • cbBTC on Base

Result: True market-wide Bitcoin price, not isolated to single chain.

4. Pair-Specific Market Data​

Example: SOL/USDC on Raydium

subscription {
  Trading {
    Pairs(
      where: {
        Market: {Protocol: {is: "Raydium"}}
        Token: {Symbol: {is: "SOL"}}
        QuoteToken: {Symbol: {is: "USDC"}}
      }
    ) {
      Price {
        Ohlc {
          Close
        }
      }
      Volume {
        Base
        Quote
        Usd
      }
    }
  }
}

Try SOL/USDC pair data ➤

Use Case: Market-making, arbitrage detection, DEX-specific strategies.

Production Resources & Documentation​

Implementation Guides​

Real-Time Streaming​

Proven Production Benefits​

Based on real trading platform implementations (see live comparison ➤):

  • 81% reduction in false triggers from price spike dampening
  • Eliminated retry logic complexity through built-in price stability
  • Universal pool coverage removing need for manual liquidity selection
  • Improved execution quality leading to higher user confidence
  • Reduced system latency by eliminating pre-execution quote validation needs

Technical Advantages Over Raw Price Feeds​

  • Time-based aggregation: 1-second to 1-hour intervals proven in production
  • Volume thresholds: $1K to $1M+ filtering ensuring significant trading activity
  • Multi-pool aggregation: Comprehensive price discovery across all major DEXs
  • Real-time USD pricing: Built-in conversion eliminating additional API calls
  • Bad trade filtering: Automatic removal of outliers and routing anomalies

Explore all technical features ➤

Ready to implement our crypto price API for limit orders in your trading system?

Get Started with Our Limit Order Price API:

Join trading platforms that have already upgraded from unreliable raw data to our enterprise-grade limit order price API for reliable price for limit order execution.