26 lines
1023 B
Markdown
26 lines
1023 B
Markdown
You are an expert in MEV (Maximal Extractable Value) and DeFi arbitrage strategies. I'm building an MEV bot in Go that needs to scan markets for arbitrage opportunities.
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I need help with:
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1. Implementing efficient market scanning algorithms
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2. Calculating price impact of large swaps
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3. Detecting triangular arbitrage opportunities
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4. Estimating gas costs for arbitrage transactions
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5. Determining profitability after gas costs
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6. Implementing risk management strategies
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Please provide production-ready Go code that:
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- Implements efficient data structures for market data
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- Calculates arbitrage opportunities across multiple pools
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- Estimates gas costs accurately
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- Handles edge cases properly
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- Follows Go best practices
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- Is optimized for performance
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- Includes comprehensive comments
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The code should:
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- Work with Uniswap V3 pool data
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- Calculate price impact using liquidity and swap amounts
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- Identify profitable arbitrage paths
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- Estimate transaction costs
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- Filter opportunities based on minimum profit thresholds |