Add enhanced concurrency patterns, rate limiting, market management, and pipeline processing

This commit is contained in:
Krypto Kajun
2025-09-12 01:35:50 -05:00
parent 300976219a
commit fbb85e529a
17 changed files with 1440 additions and 190 deletions

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@@ -0,0 +1,27 @@
You are an expert in Go concurrency patterns and high-performance systems. I'm building an MEV bot that needs to efficiently process thousands of transactions per second using advanced concurrency patterns.
I need help with:
1. Implementing efficient worker pools for transaction processing
2. Creating pipeline patterns for multi-stage processing
3. Implementing fan-in and fan-out patterns for data distribution
4. Using channels effectively for communication between goroutines
5. Managing rate limiting across multiple RPC endpoints
6. Implementing backpressure handling to prevent resource exhaustion
7. Optimizing memory usage and garbage collection
8. Using context for cancellation and timeouts
Please provide production-ready Go code that:
- Implements efficient concurrency patterns
- Handles errors gracefully without leaking goroutines
- Uses appropriate buffering for channels
- Follows Go best practices for concurrent programming
- Includes comprehensive comments explaining the patterns used
- Provides metrics for monitoring performance
The code should:
- Process transactions with minimal latency
- Scale efficiently across multiple CPU cores
- Handle backpressure gracefully
- Provide clear error handling and recovery
- Include benchmarks for critical functions

26
@prompts/rate-limiting.md Normal file
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@@ -0,0 +1,26 @@
You are an expert in rate limiting and resource management for distributed systems. I'm building an MEV bot that needs to efficiently manage requests to multiple RPC endpoints with different rate limits.
I need help with:
1. Implementing adaptive rate limiting that adjusts to endpoint capacity
2. Creating a rate limiter manager for multiple endpoints
3. Handling rate limit errors gracefully with fallback strategies
4. Implementing retry mechanisms with exponential backoff
5. Monitoring and adjusting rate limits based on observed performance
6. Balancing load across multiple endpoints
7. Handling different rate limit types (RPS, concurrent requests, etc.)
8. Implementing circuit breakers for failed endpoints
Please provide production-ready Go code that:
- Implements efficient rate limiting for multiple endpoints
- Handles errors gracefully
- Follows Go best practices
- Includes comprehensive comments explaining the rate limiting strategies
- Provides metrics for monitoring rate limit usage
The code should:
- Respect rate limits for all endpoints
- Automatically adjust to endpoint capacity
- Handle rate limit errors gracefully
- Provide clear metrics for monitoring
- Include benchmarks for critical functions

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@@ -0,0 +1,27 @@
You are an expert in Ethereum transaction processing and MEV optimization. I'm building an MEV bot that needs to efficiently decode and analyze Uniswap V3 swap transactions.
I need help with:
1. Decoding transaction calldata for Uniswap V3 swap functions
2. Extracting token addresses and amounts from swap transactions
3. Identifying the pool contract and fee tier from transaction data
4. Calculating price impact of swaps using Uniswap V3 mathematics
5. Detecting multi-hop swaps and complex routing patterns
6. Efficiently processing large volumes of transactions
7. Handling different versions of Uniswap contracts
8. Working with Ethereum event logs for additional data
Please provide production-ready Go code that:
- Uses the go-ethereum library for transaction processing
- Implements efficient decoding of transaction data
- Handles errors gracefully
- Follows Go best practices
- Includes comprehensive comments explaining the decoding process
- Provides metrics for monitoring performance
The code should:
- Accurately decode Uniswap V3 swap transactions
- Extract all relevant data for MEV analysis
- Handle various edge cases and error conditions
- Process transactions with minimal latency
- Include benchmarks for critical functions

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@@ -3,16 +3,17 @@ package main
import (
"context"
"fmt"
"log"
"os"
"os/signal"
"syscall"
"time"
"github.com/urfave/cli/v2"
"github.com/your-username/mev-beta/internal/config"
"github.com/your-username/mev-beta/internal/logger"
"github.com/your-username/mev-beta/internal/ratelimit"
"github.com/your-username/mev-beta/pkg/market"
"github.com/your-username/mev-beta/pkg/monitor"
"github.com/your-username/mev-beta/pkg/scanner"
)
func main() {
@@ -40,7 +41,8 @@ func main() {
}
if err := app.Run(os.Args); err != nil {
log.Fatal(err)
fmt.Fprintf(os.Stderr, "Error: %v\n", err)
os.Exit(1)
}
}
@@ -56,8 +58,24 @@ func startBot() error {
log.Info("Starting MEV bot...")
// Create Arbitrum monitor
monitor, err := monitor.NewArbitrumMonitor(cfg.Arbitrum.RPCEndpoint, time.Duration(cfg.Bot.PollingInterval)*time.Second)
// Create rate limiter manager
rateLimiter := ratelimit.NewLimiterManager(&cfg.Arbitrum)
// Create market manager
marketMgr := market.NewMarketManager(&cfg.Uniswap, log)
// Create market scanner
scanner := scanner.NewMarketScanner(&cfg.Bot, log)
// Create Arbitrum monitor with concurrency support
monitor, err := monitor.NewArbitrumMonitor(
&cfg.Arbitrum,
&cfg.Bot,
log,
rateLimiter,
marketMgr,
scanner,
)
if err != nil {
return fmt.Errorf("failed to create Arbitrum monitor: %w", err)
}
@@ -89,6 +107,9 @@ func startBot() error {
// Stop the monitor
monitor.Stop()
// Stop the scanner
scanner.Stop()
log.Info("MEV bot stopped.")
return nil
}

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@@ -8,6 +8,21 @@ arbitrum:
ws_endpoint: ""
# Chain ID for Arbitrum (42161 for mainnet)
chain_id: 42161
# Rate limiting configuration for RPC endpoint
rate_limit:
# Maximum requests per second (adjust based on your provider's limits)
requests_per_second: 5
# Maximum concurrent requests
max_concurrent: 3
# Burst size for rate limiting
burst: 10
# Fallback RPC endpoints
fallback_endpoints:
- url: "https://arbitrum-rpc.publicnode.com"
rate_limit:
requests_per_second: 3
max_concurrent: 2
burst: 5
# Bot configuration
bot:
@@ -19,6 +34,12 @@ bot:
min_profit_threshold: 5.0
# Gas price multiplier (for faster transactions)
gas_price_multiplier: 1.2
# Maximum number of concurrent workers for processing
max_workers: 5
# Buffer size for channels
channel_buffer_size: 50
# Timeout for RPC calls in seconds
rpc_timeout: 30
# Uniswap configuration
uniswap:
@@ -31,6 +52,14 @@ uniswap:
- 500 # 0.05%
- 3000 # 0.3%
- 10000 # 1%
# Cache configuration for pool data
cache:
# Enable or disable caching
enabled: true
# Cache expiration time in seconds
expiration: 300
# Maximum cache size
max_size: 1000
# Logging configuration
log:
@@ -45,3 +74,7 @@ log:
database:
# Database file path
file: "data/mev-bot.db"
# Maximum number of open connections
max_open_connections: 5
# Maximum number of idle connections
max_idle_connections: 2

View File

@@ -8,6 +8,26 @@ arbitrum:
ws_endpoint: ""
# Chain ID for Arbitrum (42161 for mainnet)
chain_id: 42161
# Rate limiting configuration for RPC endpoint
rate_limit:
# Maximum requests per second (adjust based on your provider's limits)
requests_per_second: 10
# Maximum concurrent requests
max_concurrent: 5
# Burst size for rate limiting
burst: 20
# Fallback RPC endpoints
fallback_endpoints:
- url: "https://arbitrum-mainnet.infura.io/v3/YOUR_INFURA_KEY"
rate_limit:
requests_per_second: 5
max_concurrent: 3
burst: 10
- url: "https://arbitrum-rpc.publicnode.com"
rate_limit:
requests_per_second: 8
max_concurrent: 4
burst: 15
# Bot configuration
bot:
@@ -19,6 +39,12 @@ bot:
min_profit_threshold: 10.0
# Gas price multiplier (for faster transactions)
gas_price_multiplier: 1.2
# Maximum number of concurrent workers for processing
max_workers: 10
# Buffer size for channels
channel_buffer_size: 100
# Timeout for RPC calls in seconds
rpc_timeout: 30
# Uniswap configuration
uniswap:
@@ -31,6 +57,14 @@ uniswap:
- 500 # 0.05%
- 3000 # 0.3%
- 10000 # 1%
# Cache configuration for pool data
cache:
# Enable or disable caching
enabled: true
# Cache expiration time in seconds
expiration: 300
# Maximum cache size
max_size: 10000
# Logging configuration
log:
@@ -45,3 +79,7 @@ log:
database:
# Database file path
file: "mev-bot.db"
# Maximum number of open connections
max_open_connections: 10
# Maximum number of idle connections
max_idle_connections: 5

3
go.mod
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@@ -6,6 +6,8 @@ require (
github.com/ethereum/go-ethereum v1.14.12
github.com/holiman/uint256 v1.3.1
github.com/urfave/cli/v2 v2.27.4
golang.org/x/sync v0.8.0
golang.org/x/time v0.10.0
gopkg.in/yaml.v3 v3.0.1
)
@@ -36,7 +38,6 @@ require (
github.com/xrash/smetrics v0.0.0-20240521201337-686a1a2994c1 // indirect
golang.org/x/crypto v0.26.0 // indirect
golang.org/x/exp v0.0.0-20240719175910-8a7402abbf56 // indirect
golang.org/x/sync v0.8.0 // indirect
golang.org/x/sys v0.25.0 // indirect
rsc.io/tmplfunc v0.0.3 // indirect
)

4
go.sum
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@@ -159,8 +159,8 @@ golang.org/x/sys v0.25.0 h1:r+8e+loiHxRqhXVl6ML1nO3l1+oFoWbnlu2Ehimmi34=
golang.org/x/sys v0.25.0/go.mod h1:/VUhepiaJMQUp4+oa/7Zr1D23ma6VTLIYjOOTFZPUcA=
golang.org/x/text v0.17.0 h1:XtiM5bkSOt+ewxlOE/aE/AKEHibwj/6gvWMl9Rsh0Qc=
golang.org/x/text v0.17.0/go.mod h1:BuEKDfySbSR4drPmRPG/7iBdf8hvFMuRexcpahXilzY=
golang.org/x/time v0.5.0 h1:o7cqy6amK/52YcAKIPlM3a+Fpj35zvRj2TP+e1xFSfk=
golang.org/x/time v0.5.0/go.mod h1:3BpzKBy/shNhVucY/MWOyx10tF3SFh9QdLuxbVysPQM=
golang.org/x/time v0.10.0 h1:3usCWA8tQn0L8+hFJQNgzpWbd89begxN66o1Ojdn5L4=
golang.org/x/time v0.10.0/go.mod h1:3BpzKBy/shNhVucY/MWOyx10tF3SFh9QdLuxbVysPQM=
google.golang.org/protobuf v1.34.2 h1:6xV6lTsCfpGD21XK49h7MhtcApnLqkfYgPcdHftf6hg=
google.golang.org/protobuf v1.34.2/go.mod h1:qYOHts0dSfpeUzUFpOMr/WGzszTmLH+DiWniOlNbLDw=
gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=

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@@ -3,6 +3,7 @@ package config
import (
"fmt"
"os"
"strconv"
"gopkg.in/yaml.v3"
)
@@ -18,36 +19,94 @@ type Config struct {
// ArbitrumConfig represents the Arbitrum node configuration
type ArbitrumConfig struct {
// Primary RPC endpoint
RPCEndpoint string `yaml:"rpc_endpoint"`
// WebSocket endpoint for Arbitrum node (optional)
WSEndpoint string `yaml:"ws_endpoint"`
// Chain ID for Arbitrum (42161 for mainnet)
ChainID int64 `yaml:"chain_id"`
// Rate limiting configuration for RPC endpoint
RateLimit RateLimitConfig `yaml:"rate_limit"`
// Fallback RPC endpoints
FallbackEndpoints []EndpointConfig `yaml:"fallback_endpoints"`
}
// EndpointConfig represents a fallback RPC endpoint configuration
type EndpointConfig struct {
// RPC endpoint URL
URL string `yaml:"url"`
// Rate limiting configuration for this endpoint
RateLimit RateLimitConfig `yaml:"rate_limit"`
}
// RateLimitConfig represents rate limiting configuration
type RateLimitConfig struct {
// Maximum requests per second
RequestsPerSecond int `yaml:"requests_per_second"`
// Maximum concurrent requests
MaxConcurrent int `yaml:"max_concurrent"`
// Burst size for rate limiting
Burst int `yaml:"burst"`
}
// BotConfig represents the bot configuration
type BotConfig struct {
// Enable or disable the bot
Enabled bool `yaml:"enabled"`
// Polling interval in seconds
PollingInterval int `yaml:"polling_interval"`
// Minimum profit threshold in USD
MinProfitThreshold float64 `yaml:"min_profit_threshold"`
// Gas price multiplier (for faster transactions)
GasPriceMultiplier float64 `yaml:"gas_price_multiplier"`
// Maximum number of concurrent workers for processing
MaxWorkers int `yaml:"max_workers"`
// Buffer size for channels
ChannelBufferSize int `yaml:"channel_buffer_size"`
// Timeout for RPC calls in seconds
RPCTimeout int `yaml:"rpc_timeout"`
}
// UniswapConfig represents the Uniswap configuration
type UniswapConfig struct {
// Factory contract address
FactoryAddress string `yaml:"factory_address"`
// Position manager contract address
PositionManagerAddress string `yaml:"position_manager_address"`
// Supported fee tiers
FeeTiers []int64 `yaml:"fee_tiers"`
// Cache configuration for pool data
Cache CacheConfig `yaml:"cache"`
}
// CacheConfig represents caching configuration
type CacheConfig struct {
// Enable or disable caching
Enabled bool `yaml:"enabled"`
// Cache expiration time in seconds
Expiration int `yaml:"expiration"`
// Maximum cache size
MaxSize int `yaml:"max_size"`
}
// LogConfig represents the logging configuration
type LogConfig struct {
// Log level (debug, info, warn, error)
Level string `yaml:"level"`
// Log format (json, text)
Format string `yaml:"format"`
// Log file path (empty for stdout)
File string `yaml:"file"`
}
// DatabaseConfig represents the database configuration
type DatabaseConfig struct {
// Database file path
File string `yaml:"file"`
// Maximum number of open connections
MaxOpenConnections int `yaml:"max_open_connections"`
// Maximum number of idle connections
MaxIdleConnections int `yaml:"max_idle_connections"`
}
// Load loads the configuration from a file
@@ -64,5 +123,47 @@ func Load(filename string) (*Config, error) {
return nil, fmt.Errorf("failed to parse config file: %w", err)
}
// Override with environment variables if they exist
config.OverrideWithEnv()
return &config, nil
}
// OverrideWithEnv overrides configuration with environment variables
func (c *Config) OverrideWithEnv() {
// Override RPC endpoint
if rpcEndpoint := os.Getenv("ARBITRUM_RPC_ENDPOINT"); rpcEndpoint != "" {
c.Arbitrum.RPCEndpoint = rpcEndpoint
}
// Override WebSocket endpoint
if wsEndpoint := os.Getenv("ARBITRUM_WS_ENDPOINT"); wsEndpoint != "" {
c.Arbitrum.WSEndpoint = wsEndpoint
}
// Override rate limit settings
if rps := os.Getenv("RPC_REQUESTS_PER_SECOND"); rps != "" {
if val, err := strconv.Atoi(rps); err == nil {
c.Arbitrum.RateLimit.RequestsPerSecond = val
}
}
if maxConcurrent := os.Getenv("RPC_MAX_CONCURRENT"); maxConcurrent != "" {
if val, err := strconv.Atoi(maxConcurrent); err == nil {
c.Arbitrum.RateLimit.MaxConcurrent = val
}
}
// Override bot settings
if maxWorkers := os.Getenv("BOT_MAX_WORKERS"); maxWorkers != "" {
if val, err := strconv.Atoi(maxWorkers); err == nil {
c.Bot.MaxWorkers = val
}
}
if channelBufferSize := os.Getenv("BOT_CHANNEL_BUFFER_SIZE"); channelBufferSize != "" {
if val, err := strconv.Atoi(channelBufferSize); err == nil {
c.Bot.ChannelBufferSize = val
}
}
}

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@@ -0,0 +1,128 @@
package ratelimit
import (
"context"
"fmt"
"sync"
"github.com/your-username/mev-beta/internal/config"
"golang.org/x/time/rate"
)
// LimiterManager manages rate limiters for multiple endpoints
type LimiterManager struct {
limiters map[string]*EndpointLimiter
mu sync.RWMutex
}
// EndpointLimiter represents a rate limiter for a specific endpoint
type EndpointLimiter struct {
URL string
Limiter *rate.Limiter
Config config.RateLimitConfig
}
// NewLimiterManager creates a new LimiterManager
func NewLimiterManager(cfg *config.ArbitrumConfig) *LimiterManager {
lm := &LimiterManager{
limiters: make(map[string]*EndpointLimiter),
}
// Create limiter for primary endpoint
limiter := createLimiter(cfg.RateLimit)
lm.limiters[cfg.RPCEndpoint] = &EndpointLimiter{
URL: cfg.RPCEndpoint,
Limiter: limiter,
Config: cfg.RateLimit,
}
// Create limiters for fallback endpoints
for _, endpoint := range cfg.FallbackEndpoints {
limiter := createLimiter(endpoint.RateLimit)
lm.limiters[endpoint.URL] = &EndpointLimiter{
URL: endpoint.URL,
Limiter: limiter,
Config: endpoint.RateLimit,
}
}
return lm
}
// createLimiter creates a rate limiter based on the configuration
func createLimiter(cfg config.RateLimitConfig) *rate.Limiter {
// Create a rate limiter with the specified rate and burst
r := rate.Limit(cfg.RequestsPerSecond)
return rate.NewLimiter(r, cfg.Burst)
}
// WaitForLimit waits for the rate limiter to allow a request
func (lm *LimiterManager) WaitForLimit(ctx context.Context, endpointURL string) error {
lm.mu.RLock()
limiter, exists := lm.limiters[endpointURL]
lm.mu.RUnlock()
if !exists {
return fmt.Errorf("no rate limiter found for endpoint: %s", endpointURL)
}
// Wait for permission to make a request
return limiter.Limiter.Wait(ctx)
}
// TryWaitForLimit tries to wait for the rate limiter to allow a request without blocking
func (lm *LimiterManager) TryWaitForLimit(ctx context.Context, endpointURL string) error {
lm.mu.RLock()
limiter, exists := lm.limiters[endpointURL]
lm.mu.RUnlock()
if !exists {
return fmt.Errorf("no rate limiter found for endpoint: %s", endpointURL)
}
// Try to wait for permission to make a request without blocking
if !limiter.Limiter.Allow() {
return fmt.Errorf("rate limit exceeded for endpoint: %s", endpointURL)
}
return nil
}
// GetLimiter returns the rate limiter for a specific endpoint
func (lm *LimiterManager) GetLimiter(endpointURL string) (*rate.Limiter, error) {
lm.mu.RLock()
limiter, exists := lm.limiters[endpointURL]
lm.mu.RUnlock()
if !exists {
return nil, fmt.Errorf("no rate limiter found for endpoint: %s", endpointURL)
}
return limiter.Limiter, nil
}
// UpdateLimiter updates the rate limiter for an endpoint
func (lm *LimiterManager) UpdateLimiter(endpointURL string, cfg config.RateLimitConfig) {
lm.mu.Lock()
defer lm.mu.Unlock()
limiter := createLimiter(cfg)
lm.limiters[endpointURL] = &EndpointLimiter{
URL: endpointURL,
Limiter: limiter,
Config: cfg,
}
}
// GetEndpoints returns all endpoint URLs
func (lm *LimiterManager) GetEndpoints() []string {
lm.mu.RLock()
defer lm.mu.RUnlock()
endpoints := make([]string, 0, len(lm.limiters))
for url := range lm.limiters {
endpoints = append(endpoints, url)
}
return endpoints
}

181
pkg/market/fan.go Normal file
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@@ -0,0 +1,181 @@
package market
import (
"context"
"fmt"
"sync"
"time"
"github.com/your-username/mev-beta/internal/config"
"github.com/your-username/mev-beta/internal/logger"
"github.com/your-username/mev-beta/internal/ratelimit"
"github.com/ethereum/go-ethereum/core/types"
)
// FanManager manages fan-in/fan-out patterns for multiple data sources
type FanManager struct {
config *config.Config
logger *logger.Logger
rateLimiter *ratelimit.LimiterManager
bufferSize int
maxWorkers int
}
// NewFanManager creates a new fan manager
func NewFanManager(cfg *config.Config, logger *logger.Logger, rateLimiter *ratelimit.LimiterManager) *FanManager {
return &FanManager{
config: cfg,
logger: logger,
rateLimiter: rateLimiter,
bufferSize: cfg.Bot.ChannelBufferSize,
maxWorkers: cfg.Bot.MaxWorkers,
}
}
// FanOut distributes work across multiple workers
func (fm *FanManager) FanOut(ctx context.Context, jobs <-chan *types.Transaction, numWorkers int) <-chan *types.Transaction {
// Create the output channel
out := make(chan *types.Transaction, fm.bufferSize)
// Create a wait group to wait for all workers
var wg sync.WaitGroup
// Start the workers
for i := 0; i < numWorkers; i++ {
wg.Add(1)
go func(workerID int) {
defer wg.Done()
fm.worker(ctx, jobs, out, workerID)
}(i)
}
// Close the output channel when all workers are done
go func() {
wg.Wait()
close(out)
}()
return out
}
// worker processes jobs from the input channel and sends results to the output channel
func (fm *FanManager) worker(ctx context.Context, jobs <-chan *types.Transaction, out chan<- *types.Transaction, workerID int) {
for {
select {
case job, ok := <-jobs:
if !ok {
return // Channel closed
}
// Process the job (in this case, just pass it through)
// In practice, you would do some processing here
fm.logger.Debug(fmt.Sprintf("Worker %d processing transaction %s", workerID, job.Hash().Hex()))
// Simulate some work
time.Sleep(10 * time.Millisecond)
// Send the result to the output channel
select {
case out <- job:
case <-ctx.Done():
return
}
case <-ctx.Done():
return
}
}
}
// FanIn combines multiple input channels into a single output channel
func (fm *FanManager) FanIn(ctx context.Context, inputs ...<-chan *types.Transaction) <-chan *types.Transaction {
// Create the output channel
out := make(chan *types.Transaction, fm.bufferSize)
// Create a wait group to wait for all input channels
var wg sync.WaitGroup
// Start a goroutine for each input channel
for i, input := range inputs {
wg.Add(1)
go func(inputID int, inputChan <-chan *types.Transaction) {
defer wg.Done()
fm.fanInWorker(ctx, inputChan, out, inputID)
}(i, input)
}
// Close the output channel when all input channels are done
go func() {
wg.Wait()
close(out)
}()
return out
}
// fanInWorker reads from an input channel and writes to the output channel
func (fm *FanManager) fanInWorker(ctx context.Context, input <-chan *types.Transaction, out chan<- *types.Transaction, inputID int) {
for {
select {
case job, ok := <-input:
if !ok {
return // Channel closed
}
// Send the job to the output channel
select {
case out <- job:
case <-ctx.Done():
return
}
case <-ctx.Done():
return
}
}
}
// Multiplex distributes transactions across multiple endpoints with rate limiting
func (fm *FanManager) Multiplex(ctx context.Context, transactions <-chan *types.Transaction) []<-chan *types.Transaction {
endpoints := fm.rateLimiter.GetEndpoints()
outputs := make([]<-chan *types.Transaction, len(endpoints))
// Create a channel for each endpoint
for i, endpoint := range endpoints {
// Create a buffered channel for this endpoint
endpointChan := make(chan *types.Transaction, fm.bufferSize)
outputs[i] = endpointChan
// Start a worker for this endpoint
go func(endpointURL string, outChan chan<- *types.Transaction) {
defer close(outChan)
for {
select {
case tx, ok := <-transactions:
if !ok {
return // Input channel closed
}
// Wait for rate limiter
if err := fm.rateLimiter.WaitForLimit(ctx, endpointURL); err != nil {
fm.logger.Error(fmt.Sprintf("Rate limiter error for %s: %v", endpointURL, err))
continue
}
// Send to endpoint-specific channel
select {
case outChan <- tx:
case <-ctx.Done():
return
}
case <-ctx.Done():
return
}
}
}(endpoint, endpointChan)
}
return outputs
}

201
pkg/market/manager.go Normal file
View File

@@ -0,0 +1,201 @@
package market
import (
"context"
"fmt"
"sync"
"time"
"github.com/your-username/mev-beta/internal/config"
"github.com/your-username/mev-beta/internal/logger"
"github.com/ethereum/go-ethereum/common"
"github.com/holiman/uint256"
"golang.org/x/sync/singleflight"
)
// MarketManager manages market data and pool information
type MarketManager struct {
config *config.UniswapConfig
logger *logger.Logger
pools map[string]*PoolData
mu sync.RWMutex
cacheGroup singleflight.Group
cacheDuration time.Duration
maxCacheSize int
}
// PoolData represents data for a Uniswap V3 pool
type PoolData struct {
Address common.Address
Token0 common.Address
Token1 common.Address
Fee int64
Liquidity *uint256.Int
SqrtPriceX96 *uint256.Int
Tick int
TickSpacing int
LastUpdated time.Time
}
// NewMarketManager creates a new market manager
func NewMarketManager(cfg *config.UniswapConfig, logger *logger.Logger) *MarketManager {
return &MarketManager{
config: cfg,
logger: logger,
pools: make(map[string]*PoolData),
cacheDuration: time.Duration(cfg.Cache.Expiration) * time.Second,
maxCacheSize: cfg.Cache.MaxSize,
}
}
// GetPool retrieves pool data, either from cache or by fetching it
func (mm *MarketManager) GetPool(ctx context.Context, poolAddress common.Address) (*PoolData, error) {
// Check if we have it in cache and it's still valid
poolKey := poolAddress.Hex()
mm.mu.RLock()
if pool, exists := mm.pools[poolKey]; exists {
// Check if cache is still valid
if time.Since(pool.LastUpdated) < mm.cacheDuration {
mm.mu.RUnlock()
return pool, nil
}
}
mm.mu.RUnlock()
// Use singleflight to prevent duplicate requests for the same pool
result, err, _ := mm.cacheGroup.Do(poolKey, func() (interface{}, error) {
return mm.fetchPoolData(ctx, poolAddress)
})
if err != nil {
return nil, err
}
pool := result.(*PoolData)
// Update cache
mm.mu.Lock()
// Check if we need to evict old entries
if len(mm.pools) >= mm.maxCacheSize {
mm.evictOldest()
}
mm.pools[poolKey] = pool
mm.mu.Unlock()
return pool, nil
}
// fetchPoolData fetches pool data from the blockchain
func (mm *MarketManager) fetchPoolData(ctx context.Context, poolAddress common.Address) (*PoolData, error) {
// This is a simplified implementation
// In practice, you would interact with the Ethereum blockchain to get real data
// For now, we'll return mock data
pool := &PoolData{
Address: poolAddress,
Token0: common.HexToAddress("0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48"), // USDC
Token1: common.HexToAddress("0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2"), // WETH
Fee: 3000, // 0.3%
Liquidity: uint256.NewInt(1000000000000000000), // 1 ETH equivalent
SqrtPriceX96: uint256.NewInt(2505414483750470000), // Mock sqrt price
Tick: 200000, // Mock tick
TickSpacing: 60, // Tick spacing for 0.3% fee
LastUpdated: time.Now(),
}
mm.logger.Debug(fmt.Sprintf("Fetched pool data for %s", poolAddress.Hex()))
return pool, nil
}
// evictOldest removes the oldest entry from the cache
func (mm *MarketManager) evictOldest() {
oldestKey := ""
var oldestTime time.Time
for key, pool := range mm.pools {
if oldestKey == "" || pool.LastUpdated.Before(oldestTime) {
oldestKey = key
oldestTime = pool.LastUpdated
}
}
if oldestKey != "" {
delete(mm.pools, oldestKey)
mm.logger.Debug(fmt.Sprintf("Evicted pool %s from cache", oldestKey))
}
}
// UpdatePool updates pool data
func (mm *MarketManager) UpdatePool(poolAddress common.Address, liquidity *uint256.Int, sqrtPriceX96 *uint256.Int, tick int) {
poolKey := poolAddress.Hex()
mm.mu.Lock()
defer mm.mu.Unlock()
if pool, exists := mm.pools[poolKey]; exists {
pool.Liquidity = liquidity
pool.SqrtPriceX96 = sqrtPriceX96
pool.Tick = tick
pool.LastUpdated = time.Now()
} else {
// Create new pool entry
pool := &PoolData{
Address: poolAddress,
Liquidity: liquidity,
SqrtPriceX96: sqrtPriceX96,
Tick: tick,
LastUpdated: time.Now(),
}
mm.pools[poolKey] = pool
}
}
// GetPoolsByTokens retrieves pools for a pair of tokens
func (mm *MarketManager) GetPoolsByTokens(token0, token1 common.Address) []*PoolData {
mm.mu.RLock()
defer mm.mu.RUnlock()
pools := make([]*PoolData, 0)
for _, pool := range mm.pools {
// Check if this pool contains the token pair
if (pool.Token0 == token0 && pool.Token1 == token1) ||
(pool.Token0 == token1 && pool.Token1 == token0) {
pools = append(pools, pool)
}
}
return pools
}
// GetAllPools returns all cached pools
func (mm *MarketManager) GetAllPools() []*PoolData {
mm.mu.RLock()
defer mm.mu.RUnlock()
pools := make([]*PoolData, 0, len(mm.pools))
for _, pool := range mm.pools {
pools = append(pools, pool)
}
return pools
}
// ClearCache clears all cached pool data
func (mm *MarketManager) ClearCache() {
mm.mu.Lock()
defer mm.mu.Unlock()
mm.pools = make(map[string]*PoolData)
mm.logger.Info("Cleared pool cache")
}
// GetCacheStats returns cache statistics
func (mm *MarketManager) GetCacheStats() (int, int) {
mm.mu.RLock()
defer mm.mu.RUnlock()
return len(mm.pools), mm.maxCacheSize
}

249
pkg/market/pipeline.go Normal file
View File

@@ -0,0 +1,249 @@
package market
import (
"context"
"fmt"
"math/big"
"sync"
"time"
"github.com/your-username/mev-beta/internal/config"
"github.com/your-username/mev-beta/internal/logger"
"github.com/your-username/mev-beta/pkg/scanner"
"github.com/ethereum/go-ethereum/core/types"
"github.com/holiman/uint256"
)
// Pipeline processes transactions through multiple stages
type Pipeline struct {
config *config.BotConfig
logger *logger.Logger
marketMgr *MarketManager
scanner *scanner.MarketScanner
stages []PipelineStage
bufferSize int
concurrency int
}
// PipelineStage represents a stage in the processing pipeline
type PipelineStage func(context.Context, <-chan *types.Transaction, chan<- *scanner.SwapDetails) error
// NewPipeline creates a new transaction processing pipeline
func NewPipeline(
cfg *config.BotConfig,
logger *logger.Logger,
marketMgr *MarketManager,
scanner *scanner.MarketScanner,
) *Pipeline {
return &Pipeline{
config: cfg,
logger: logger,
marketMgr: marketMgr,
scanner: scanner,
bufferSize: cfg.ChannelBufferSize,
concurrency: cfg.MaxWorkers,
}
}
// AddStage adds a processing stage to the pipeline
func (p *Pipeline) AddStage(stage PipelineStage) {
p.stages = append(p.stages, stage)
}
// ProcessTransactions processes a batch of transactions through the pipeline
func (p *Pipeline) ProcessTransactions(ctx context.Context, transactions []*types.Transaction) error {
if len(p.stages) == 0 {
return fmt.Errorf("no pipeline stages configured")
}
// Create the initial input channel
inputChan := make(chan *types.Transaction, p.bufferSize)
// Send transactions to the input channel
go func() {
defer close(inputChan)
for _, tx := range transactions {
select {
case inputChan <- tx:
case <-ctx.Done():
return
}
}
}()
// Process through each stage
var currentChan <-chan *scanner.SwapDetails = nil
for i, stage := range p.stages {
// Create output channel for this stage
outputChan := make(chan *scanner.SwapDetails, p.bufferSize)
// For the first stage, we need to convert transactions to swap details
if i == 0 {
// Special handling for first stage
go func(stage PipelineStage, input <-chan *types.Transaction, output chan<- *scanner.SwapDetails) {
defer close(output)
err := stage(ctx, input, output)
if err != nil {
p.logger.Error(fmt.Sprintf("Pipeline stage %d error: %v", i, err))
}
}(stage, inputChan, outputChan)
} else {
// For subsequent stages
go func(stage PipelineStage, input <-chan *scanner.SwapDetails, output chan<- *scanner.SwapDetails) {
defer close(output)
// We need to create a dummy input channel for this stage
// This is a simplification - in practice you'd have a more complex pipeline
dummyInput := make(chan *types.Transaction, p.bufferSize)
close(dummyInput)
err := stage(ctx, dummyInput, output)
if err != nil {
p.logger.Error(fmt.Sprintf("Pipeline stage %d error: %v", i, err))
}
}(stage, currentChan, outputChan)
}
currentChan = outputChan
}
// Process the final output
if currentChan != nil {
go p.processSwapDetails(ctx, currentChan)
}
return nil
}
// processSwapDetails processes the final output of the pipeline
func (p *Pipeline) processSwapDetails(ctx context.Context, swapDetails <-chan *scanner.SwapDetails) {
for {
select {
case swap, ok := <-swapDetails:
if !ok {
return // Channel closed
}
// Submit to the market scanner for processing
p.scanner.SubmitSwap(*swap)
case <-ctx.Done():
return
}
}
}
// TransactionDecoderStage decodes transactions to identify swap opportunities
func TransactionDecoderStage(
cfg *config.BotConfig,
logger *logger.Logger,
marketMgr *MarketManager,
) PipelineStage {
return func(ctx context.Context, input <-chan *types.Transaction, output chan<- *scanner.SwapDetails) error {
var wg sync.WaitGroup
// Process transactions concurrently
for i := 0; i < cfg.MaxWorkers; i++ {
wg.Add(1)
go func() {
defer wg.Done()
for {
select {
case tx, ok := <-input:
if !ok {
return // Channel closed
}
// Process the transaction
swapDetails := decodeTransaction(tx, logger)
if swapDetails != nil {
select {
case output <- swapDetails:
case <-ctx.Done():
return
}
}
case <-ctx.Done():
return
}
}
}()
}
// Wait for all workers to finish
go func() {
wg.Wait()
close(output)
}()
return nil
}
}
// decodeTransaction decodes a transaction to extract swap details
func decodeTransaction(tx *types.Transaction, logger *logger.Logger) *scanner.SwapDetails {
// This is a simplified implementation
// In practice, you would:
// 1. Check if the transaction is calling a Uniswap-like contract
// 2. Decode the function call data
// 3. Extract token addresses, amounts, etc.
// For now, we'll return mock data for demonstration
if tx.To() != nil {
swap := &scanner.SwapDetails{
PoolAddress: tx.To().Hex(),
Token0: "0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48", // USDC
Token1: "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2", // WETH
Amount0In: big.NewInt(1000000000), // 1000 USDC
Amount0Out: big.NewInt(0),
Amount1In: big.NewInt(0),
Amount1Out: big.NewInt(500000000000000000), // 0.5 WETH
SqrtPriceX96: uint256.NewInt(2505414483750470000),
Liquidity: uint256.NewInt(1000000000000000000),
Tick: 200000,
Timestamp: time.Now(),
TransactionHash: tx.Hash(),
}
logger.Debug(fmt.Sprintf("Decoded swap transaction: %s", tx.Hash().Hex()))
return swap
}
return nil
}
// MarketAnalysisStage performs market analysis on swap details
func MarketAnalysisStage(
cfg *config.BotConfig,
logger *logger.Logger,
marketMgr *MarketManager,
) PipelineStage {
return func(ctx context.Context, input <-chan *types.Transaction, output chan<- *scanner.SwapDetails) error {
// This is a placeholder for market analysis
// In practice, you would:
// 1. Get pool data from market manager
// 2. Analyze price impact
// 3. Check for arbitrage opportunities
close(output)
return nil
}
}
// ArbitrageDetectionStage detects arbitrage opportunities
func ArbitrageDetectionStage(
cfg *config.BotConfig,
logger *logger.Logger,
marketMgr *MarketManager,
) PipelineStage {
return func(ctx context.Context, input <-chan *types.Transaction, output chan<- *scanner.SwapDetails) error {
// This is a placeholder for arbitrage detection
// In practice, you would:
// 1. Compare prices across multiple pools
// 2. Calculate potential profit
// 3. Filter based on profitability
close(output)
return nil
}
}

View File

@@ -3,62 +3,135 @@ package monitor
import (
"context"
"fmt"
"log"
"math/big"
"sync"
"time"
"github.com/your-username/mev-beta/internal/config"
"github.com/your-username/mev-beta/internal/logger"
"github.com/your-username/mev-beta/internal/ratelimit"
"github.com/your-username/mev-beta/pkg/market"
"github.com/your-username/mev-beta/pkg/scanner"
"github.com/ethereum/go-ethereum/common"
"github.com/ethereum/go-ethereum/core/types"
"github.com/ethereum/go-ethereum/ethclient"
"golang.org/x/time/rate"
)
// ArbitrumMonitor monitors the Arbitrum sequencer for transactions
// ArbitrumMonitor monitors the Arbitrum sequencer for transactions with concurrency support
type ArbitrumMonitor struct {
config *config.ArbitrumConfig
botConfig *config.BotConfig
client *ethclient.Client
rpcEndpoint string
logger *logger.Logger
rateLimiter *ratelimit.LimiterManager
marketMgr *market.MarketManager
scanner *scanner.MarketScanner
pipeline *market.Pipeline
fanManager *market.FanManager
limiter *rate.Limiter
pollInterval time.Duration
running bool
mu sync.RWMutex
}
// NewArbitrumMonitor creates a new Arbitrum monitor
func NewArbitrumMonitor(rpcEndpoint string, pollInterval time.Duration) (*ArbitrumMonitor, error) {
client, err := ethclient.Dial(rpcEndpoint)
// NewArbitrumMonitor creates a new Arbitrum monitor with rate limiting
func NewArbitrumMonitor(
arbCfg *config.ArbitrumConfig,
botCfg *config.BotConfig,
logger *logger.Logger,
rateLimiter *ratelimit.LimiterManager,
marketMgr *market.MarketManager,
scanner *scanner.MarketScanner,
) (*ArbitrumMonitor, error) {
// Create Ethereum client
client, err := ethclient.Dial(arbCfg.RPCEndpoint)
if err != nil {
return nil, fmt.Errorf("failed to connect to Arbitrum node: %v", err)
}
// Create rate limiter based on config
limiter := rate.NewLimiter(
rate.Limit(arbCfg.RateLimit.RequestsPerSecond),
arbCfg.RateLimit.Burst,
)
// Create pipeline
pipeline := market.NewPipeline(botCfg, logger, marketMgr, scanner)
// Add stages to pipeline
pipeline.AddStage(market.TransactionDecoderStage(botCfg, logger, marketMgr))
// Create fan manager
fanManager := market.NewFanManager(
&config.Config{
Arbitrum: *arbCfg,
Bot: *botCfg,
},
logger,
rateLimiter,
)
return &ArbitrumMonitor{
config: arbCfg,
botConfig: botCfg,
client: client,
rpcEndpoint: rpcEndpoint,
pollInterval: pollInterval,
logger: logger,
rateLimiter: rateLimiter,
marketMgr: marketMgr,
scanner: scanner,
pipeline: pipeline,
fanManager: fanManager,
limiter: limiter,
pollInterval: time.Duration(botCfg.PollingInterval) * time.Second,
running: false,
}, nil
}
// Start begins monitoring the Arbitrum sequencer
func (m *ArbitrumMonitor) Start(ctx context.Context) error {
log.Println("Starting Arbitrum sequencer monitoring...")
m.mu.Lock()
m.running = true
m.mu.Unlock()
m.logger.Info("Starting Arbitrum sequencer monitoring...")
// Get the latest block to start from
if err := m.rateLimiter.WaitForLimit(ctx, m.config.RPCEndpoint); err != nil {
return fmt.Errorf("rate limit error: %v", err)
}
header, err := m.client.HeaderByNumber(ctx, nil)
if err != nil {
return fmt.Errorf("failed to get latest block header: %v", err)
}
lastBlock := header.Number.Uint64()
log.Printf("Starting from block: %d", lastBlock)
m.logger.Info(fmt.Sprintf("Starting from block: %d", lastBlock))
for {
m.mu.RLock()
running := m.running
m.mu.RUnlock()
if !running {
break
}
for m.running {
select {
case <-ctx.Done():
m.running = false
m.Stop()
return nil
case <-time.After(m.pollInterval):
// Get the latest block
if err := m.rateLimiter.WaitForLimit(ctx, m.config.RPCEndpoint); err != nil {
m.logger.Error(fmt.Sprintf("Rate limit error: %v", err))
continue
}
header, err := m.client.HeaderByNumber(ctx, nil)
if err != nil {
log.Printf("Failed to get latest block header: %v", err)
m.logger.Error(fmt.Sprintf("Failed to get latest block header: %v", err))
continue
}
@@ -67,7 +140,7 @@ func (m *ArbitrumMonitor) Start(ctx context.Context) error {
// Process blocks from lastBlock+1 to currentBlock
for blockNum := lastBlock + 1; blockNum <= currentBlock; blockNum++ {
if err := m.processBlock(ctx, blockNum); err != nil {
log.Printf("Failed to process block %d: %v", blockNum, err)
m.logger.Error(fmt.Sprintf("Failed to process block %d: %v", blockNum, err))
}
}
@@ -80,12 +153,20 @@ func (m *ArbitrumMonitor) Start(ctx context.Context) error {
// Stop stops the monitor
func (m *ArbitrumMonitor) Stop() {
m.mu.Lock()
defer m.mu.Unlock()
m.running = false
m.logger.Info("Stopping Arbitrum monitor...")
}
// processBlock processes a single block for potential swap transactions
func (m *ArbitrumMonitor) processBlock(ctx context.Context, blockNumber uint64) error {
log.Printf("Processing block %d", blockNumber)
m.logger.Debug(fmt.Sprintf("Processing block %d", blockNumber))
// Wait for rate limiter
if err := m.rateLimiter.WaitForLimit(ctx, m.config.RPCEndpoint); err != nil {
return fmt.Errorf("rate limit error: %v", err)
}
// Get block by number
block, err := m.client.BlockByNumber(ctx, big.NewInt(int64(blockNumber)))
@@ -93,11 +174,12 @@ func (m *ArbitrumMonitor) processBlock(ctx context.Context, blockNumber uint64)
return fmt.Errorf("failed to get block %d: %v", blockNumber, err)
}
// Process each transaction in the block
for _, tx := range block.Transactions() {
if err := m.processTransaction(ctx, tx); err != nil {
log.Printf("Failed to process transaction %s: %v", tx.Hash().Hex(), err)
}
// Process transactions using pipeline
transactions := block.Transactions()
// Process transactions through the pipeline
if err := m.pipeline.ProcessTransactions(ctx, transactions); err != nil {
m.logger.Error(fmt.Sprintf("Pipeline processing error: %v", err))
}
return nil
@@ -116,7 +198,7 @@ func (m *ArbitrumMonitor) processTransaction(ctx context.Context, tx *types.Tran
from = common.HexToAddress("0x0")
}
log.Printf("Transaction: %s, From: %s, To: %s, Value: %s ETH",
m.logger.Debug(fmt.Sprintf("Transaction: %s, From: %s, To: %s, Value: %s ETH",
tx.Hash().Hex(),
from.Hex(),
func() string {
@@ -126,7 +208,7 @@ func (m *ArbitrumMonitor) processTransaction(ctx context.Context, tx *types.Tran
return "contract creation"
}(),
new(big.Float).Quo(new(big.Float).SetInt(tx.Value()), big.NewFloat(1e18)).String(),
)
))
// TODO: Add logic to detect swap transactions and analyze them
// This would involve:

246
pkg/scanner/concurrent.go Normal file
View File

@@ -0,0 +1,246 @@
package scanner
import (
"fmt"
"math/big"
"sync"
"time"
"github.com/your-username/mev-beta/internal/config"
"github.com/your-username/mev-beta/internal/logger"
"github.com/your-username/mev-beta/pkg/uniswap"
"github.com/ethereum/go-ethereum/common"
"github.com/holiman/uint256"
)
// MarketScanner scans markets for price movement opportunities with concurrency
type MarketScanner struct {
config *config.BotConfig
logger *logger.Logger
workerPool chan chan SwapDetails
workers []*SwapWorker
wg sync.WaitGroup
}
// SwapWorker represents a worker that processes swap details
type SwapWorker struct {
ID int
WorkerPool chan chan SwapDetails
JobChannel chan SwapDetails
QuitChan chan bool
scanner *MarketScanner
}
// NewMarketScanner creates a new market scanner with concurrency support
func NewMarketScanner(cfg *config.BotConfig, logger *logger.Logger) *MarketScanner {
scanner := &MarketScanner{
config: cfg,
logger: logger,
workerPool: make(chan chan SwapDetails, cfg.MaxWorkers),
workers: make([]*SwapWorker, 0, cfg.MaxWorkers),
}
// Create workers
for i := 0; i < cfg.MaxWorkers; i++ {
worker := NewSwapWorker(i, scanner.workerPool, scanner)
scanner.workers = append(scanner.workers, worker)
worker.Start()
}
return scanner
}
// NewSwapWorker creates a new swap worker
func NewSwapWorker(id int, workerPool chan chan SwapDetails, scanner *MarketScanner) *SwapWorker {
return &SwapWorker{
ID: id,
WorkerPool: workerPool,
JobChannel: make(chan SwapDetails),
QuitChan: make(chan bool),
scanner: scanner,
}
}
// Start begins the worker
func (w *SwapWorker) Start() {
go func() {
for {
// Register the worker in the worker pool
w.WorkerPool <- w.JobChannel
select {
case job := <-w.JobChannel:
// Process the job
w.Process(job)
case <-w.QuitChan:
// Stop the worker
return
}
}
}()
}
// Stop terminates the worker
func (w *SwapWorker) Stop() {
go func() {
w.QuitChan <- true
}()
}
// Process handles a swap detail
func (w *SwapWorker) Process(swap SwapDetails) {
// Analyze the swap in a separate goroutine to maintain throughput
go func() {
defer w.scanner.wg.Done()
// Log the processing
w.scanner.logger.Debug(fmt.Sprintf("Worker %d processing swap in pool %s", w.ID, swap.PoolAddress))
// Analyze the swap
priceMovement, err := w.scanner.AnalyzeSwap(swap)
if err != nil {
w.scanner.logger.Error(fmt.Sprintf("Error analyzing swap: %v", err))
return
}
// Check if the movement is significant
if w.scanner.IsSignificantMovement(priceMovement, w.scanner.config.MinProfitThreshold) {
w.scanner.logger.Info(fmt.Sprintf("Significant price movement detected: %+v", priceMovement))
// TODO: Send to arbitrage engine
}
}()
}
// SubmitSwap submits a swap for processing by the worker pool
func (s *MarketScanner) SubmitSwap(swap SwapDetails) {
s.wg.Add(1)
// Get an available worker job channel
jobChannel := <-s.workerPool
// Send the job to the worker
jobChannel <- swap
}
// AnalyzeSwap analyzes a swap to determine if it's large enough to move the price
func (s *MarketScanner) AnalyzeSwap(swap SwapDetails) (*PriceMovement, error) {
// Calculate the price before the swap
priceBefore := uniswap.SqrtPriceX96ToPrice(swap.SqrtPriceX96.ToBig())
// For a more accurate calculation, we would need to:
// 1. Calculate the new sqrtPriceX96 after the swap
// 2. Convert that to a price
// 3. Calculate 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),
PriceBefore: priceBefore,
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 using Uniswap V3 math
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
}
// Stop stops the market scanner and all workers
func (s *MarketScanner) Stop() {
// Stop all workers
for _, worker := range s.workers {
worker.Stop()
}
// Wait for all jobs to complete
s.wg.Wait()
}
// 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
}
// 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
PriceBefore *big.Float // Price before the swap
PriceAfter *big.Float // Price after the swap (to be calculated)
PriceImpact float64 // Calculated price impact
TickBefore int // Tick before the swap
TickAfter int // Tick after the swap (to be calculated)
}
// 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
Timestamp time.Time
TransactionHash common.Hash
}

View File

@@ -1,122 +1,2 @@
// Deprecated: Use concurrent.go instead
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
}

View File

@@ -1,6 +1,7 @@
package uniswap
import (
"math"
"math/big"
"github.com/holiman/uint256"
@@ -8,7 +9,7 @@ import (
const (
// Q96 represents 2^96 used in Uniswap V3 sqrtPriceX96 calculations
Q96 = 79228162514264337593543950336 // 2^96
Q96 = "79228162514264337593543950336" // 2^96 as string to avoid overflow
// Tick spacing for different fee tiers
LowTickSpacing = 10
@@ -58,17 +59,22 @@ func TickToSqrtPriceX96(tick int) *big.Int {
// sqrtPriceX96 = 1.0001^(tick/2) * 2^96
// Calculate 1.0001^(tick/2)
base := new(big.Float).SetFloat64(1.0001)
tickF := new(big.Float).SetFloat64(float64(tick) / 2.0)
power := new(big.Float).Pow(base, tickF)
base := 1.0001
power := float64(tick) / 2.0
result := math.Pow(base, power)
// Convert to big.Float
price := new(big.Float).SetFloat64(result)
// Multiply by 2^96
q96 := new(big.Float).SetInt(new(big.Int).Exp(big.NewInt(2), big.NewInt(96), nil))
sqrtPrice := new(big.Float).Mul(power, q96)
q96Int := new(big.Int)
q96Int.SetString(Q96, 10)
q96 := new(big.Float).SetInt(q96Int)
price.Mul(price, q96)
// Convert to big.Int
sqrtPriceX96 := new(big.Int)
sqrtPrice.Int(sqrtPriceX96)
price.Int(sqrtPriceX96)
return sqrtPriceX96
}
@@ -85,7 +91,9 @@ func SqrtPriceX96ToTick(sqrtPriceX96 *big.Int) int {
// Convert to big.Float
sqrtPrice := new(big.Float).SetInt(sqrtPriceX96)
q96 := new(big.Float).SetInt(new(big.Int).SetInt64(Q96))
q96Int := new(big.Int)
q96Int.SetString(Q96, 10)
q96 := new(big.Float).SetInt(q96Int)
// Calculate sqrtPriceX96 / 2^96
ratio := new(big.Float).Quo(sqrtPrice, q96)
@@ -95,14 +103,15 @@ func SqrtPriceX96ToTick(sqrtPriceX96 *big.Int) int {
// Calculate log_1.0001(price)
// log_1.0001(x) = ln(x) / ln(1.0001)
lnPrice := new(big.Float).Log(price)
lnBase := new(big.Float).Log(new(big.Float).SetFloat64(1.0001))
logRatio := new(big.Float).Quo(lnPrice, lnBase)
priceFloat, _ := price.Float64()
lnPrice := math.Log(priceFloat)
lnBase := math.Log(1.0001)
logRatio := lnPrice / lnBase
// Convert to int
tick, _ := logRatio.Int64()
tick := int(logRatio)
return int(tick)
return tick
}
// GetTickAtSqrtPrice calculates the tick for a given sqrtPriceX96 using uint256