Files
mev-beta/pkg/scanner/scanner.go
2025-09-12 01:16:30 -05:00

122 lines
3.9 KiB
Go

package scanner
import (
"math/big"
"github.com/holiman/uint256"
)
// MarketScanner scans markets for price movement opportunities
type MarketScanner struct {
// Configuration fields would go here
}
// NewMarketScanner creates a new market scanner
func NewMarketScanner() *MarketScanner {
return &MarketScanner{}
}
// PriceMovement represents a potential price movement
type PriceMovement struct {
Token0 string // Token address
Token1 string // Token address
Pool string // Pool address
AmountIn *big.Int // Amount of token being swapped in
AmountOut *big.Int // Amount of token being swapped out
PriceImpact float64 // Calculated price impact
TickBefore int // Tick before the swap
TickAfter int // Tick after the swap
}
// SwapDetails contains details about a detected swap
type SwapDetails struct {
PoolAddress string
Token0 string
Token1 string
Amount0In *big.Int
Amount0Out *big.Int
Amount1In *big.Int
Amount1Out *big.Int
SqrtPriceX96 *uint256.Int
Liquidity *uint256.Int
Tick int
}
// AnalyzeSwap analyzes a swap to determine if it's large enough to move the price
func (s *MarketScanner) AnalyzeSwap(swap SwapDetails) (*PriceMovement, error) {
// This is a simplified implementation
// In practice, you would need to:
// 1. Calculate the price before the swap
// 2. Calculate the price after the swap
// 3. Determine the price impact
priceMovement := &PriceMovement{
Token0: swap.Token0,
Token1: swap.Token1,
Pool: swap.PoolAddress,
AmountIn: new(big.Int).Add(swap.Amount0In, swap.Amount1In),
AmountOut: new(big.Int).Add(swap.Amount0Out, swap.Amount1Out),
TickBefore: swap.Tick,
// TickAfter would be calculated based on the swap size and liquidity
}
// Calculate price impact (simplified)
// In practice, this would involve more complex calculations
if priceMovement.AmountIn.Cmp(big.NewInt(0)) > 0 {
impact := new(big.Float).Quo(
new(big.Float).SetInt(priceMovement.AmountOut),
new(big.Float).SetInt(priceMovement.AmountIn),
)
priceImpact, _ := impact.Float64()
priceMovement.PriceImpact = priceImpact
}
return priceMovement, nil
}
// IsSignificantMovement determines if a price movement is significant enough to exploit
func (s *MarketScanner) IsSignificantMovement(movement *PriceMovement, threshold float64) bool {
// Check if the price impact is above our threshold
return movement.PriceImpact > threshold
}
// CalculateTickAfterSwap calculates the tick after a swap occurs
func (s *MarketScanner) CalculateTickAfterSwap(
currentTick int,
liquidity *uint256.Int,
amountIn *big.Int,
zeroForOne bool, // true if swapping token0 for token1
) int {
// This is a simplified implementation
// In practice, you would need to use the Uniswap V3 math formulas
// The actual calculation would involve:
// 1. Converting amounts to sqrt prices
// 2. Using the liquidity to determine the price movement
// 3. Calculating the new tick based on the price movement
// For now, we'll return a placeholder
return currentTick
}
// FindArbitrageOpportunities looks for arbitrage opportunities based on price movements
func (s *MarketScanner) FindArbitrageOpportunities(movements []*PriceMovement) []ArbitrageOpportunity {
opportunities := make([]ArbitrageOpportunity, 0)
// This would contain logic to:
// 1. Compare prices across different pools
// 2. Calculate potential profit after gas costs
// 3. Identify triangular arbitrage opportunities
// 4. Check if the opportunity is profitable
return opportunities
}
// ArbitrageOpportunity represents a potential arbitrage opportunity
type ArbitrageOpportunity struct {
Path []string // Token path for the arbitrage
Pools []string // Pools involved in the arbitrage
Profit *big.Int // Estimated profit in wei
GasEstimate *big.Int // Estimated gas cost
ROI float64 // Return on investment percentage
}