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//! Snipe example for polyfill-rs
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//!
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//! This example demonstrates high-frequency trading techniques including:
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//! - Real-time order book monitoring
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//! - Stale quote detection
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//! - Rapid order execution
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//! - Market impact analysis
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use polyfill_rs::{
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book::OrderBookManager,
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errors::Result,
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fill::{FillEngine, FillStatus},
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types::*,
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utils::time,
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};
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use rust_decimal::Decimal;
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use rust_decimal_macros::dec;
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use rust_decimal::prelude::ToPrimitive;
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use std::time::Duration;
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use tokio::time::sleep;
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use tracing::{error, info, warn};
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/// Snipe trading strategy
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#[derive(Debug)]
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pub struct SnipeStrategy {
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/// Target token ID
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token_id: String,
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/// Maximum spread to consider
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max_spread_pct: Decimal,
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/// Minimum order size
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min_order_size: Decimal,
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/// Maximum order size
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max_order_size: Decimal,
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/// Stale quote threshold (seconds)
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stale_threshold: u64,
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/// Last known best prices
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last_best_bid: Option<Decimal>,
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last_best_ask: Option<Decimal>,
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/// Last update timestamp
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last_update: u64,
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/// Order book manager
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book_manager: OrderBookManager,
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/// Fill engine
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fill_engine: FillEngine,
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/// Statistics
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stats: SnipeStats,
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}
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/// Snipe trading statistics
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#[derive(Debug, Clone)]
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pub struct SnipeStats {
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pub opportunities_detected: u64,
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pub orders_placed: u64,
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pub orders_filled: u64,
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pub total_volume: Decimal,
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pub total_pnl: Decimal,
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pub avg_fill_time_ms: f64,
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}
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impl Default for SnipeStats {
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fn default() -> Self {
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Self {
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opportunities_detected: 0,
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orders_placed: 0,
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orders_filled: 0,
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total_volume: dec!(0),
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total_pnl: dec!(0),
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avg_fill_time_ms: 0.0,
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}
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}
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}
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impl SnipeStrategy {
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/// Create a new snipe strategy
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pub fn new(
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token_id: String,
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max_spread_pct: Decimal,
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min_order_size: Decimal,
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max_order_size: Decimal,
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stale_threshold: u64,
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) -> Self {
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Self {
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token_id,
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max_spread_pct,
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min_order_size,
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max_order_size,
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stale_threshold,
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last_best_bid: None,
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last_best_ask: None,
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last_update: 0,
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book_manager: OrderBookManager::new(100),
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fill_engine: FillEngine::new(
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min_order_size,
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dec!(2.0), // 2% max slippage
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5, // 5 bps fee rate
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),
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stats: SnipeStats::default(),
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}
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}
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/// Process a market data update
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pub fn process_update(&mut self, message: StreamMessage) -> Result<()> {
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match message {
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StreamMessage::BookUpdate { data } => {
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if data.token_id == self.token_id {
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self.process_book_update(data)?;
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}
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}
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StreamMessage::Trade { data } => {
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if data.token_id == self.token_id {
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self.process_trade(data)?;
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}
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}
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StreamMessage::Heartbeat { timestamp: _ } => {
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self.check_stale_quotes()?;
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}
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_ => {}
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}
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Ok(())
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}
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/// Process order book update
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fn process_book_update(&mut self, delta: OrderDelta) -> Result<()> {
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// Ensure book exists
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self.book_manager.get_or_create_book(&self.token_id)?;
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// Update local order book
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self.book_manager.apply_delta(delta.clone())?;
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// Get current book state
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let book = self.book_manager.get_book(&self.token_id)?;
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// Update best prices
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if let Some(best_bid) = book.bids.first() {
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self.last_best_bid = Some(best_bid.price);
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}
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if let Some(best_ask) = book.asks.first() {
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self.last_best_ask = Some(best_ask.price);
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}
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self.last_update = time::now_secs();
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// Check for trading opportunities
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self.check_opportunities()?;
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Ok(())
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}
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/// Process trade update
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fn process_trade(&mut self, fill: FillEvent) -> Result<()> {
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info!(
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"Trade: {} {} @ {} (size: {})",
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fill.side.as_str(),
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fill.token_id,
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fill.price,
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fill.size
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);
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// Update statistics
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self.stats.total_volume += fill.size;
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// Calculate P&L if this was our trade
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// (In a real implementation, you'd track your own orders)
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Ok(())
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}
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/// Check for trading opportunities
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fn check_opportunities(&mut self) -> Result<()> {
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let (bid, ask) = match (self.last_best_bid, self.last_best_ask) {
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(Some(bid), Some(ask)) => (bid, ask),
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_ => return Ok(()), // No liquidity
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};
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// Calculate spread
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let spread_pct = match (bid, ask) {
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(bid, ask) if bid > dec!(0) && ask > bid => {
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(ask - bid) / bid * dec!(100)
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}
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_ => return Ok(()),
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};
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// Check if spread is within our target
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if spread_pct <= self.max_spread_pct {
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self.stats.opportunities_detected += 1;
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info!(
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"Opportunity detected: spread {}% (target: {}%)",
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spread_pct, self.max_spread_pct
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);
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// Execute snipe order
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self.execute_snipe_order(bid, ask)?;
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}
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Ok(())
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}
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/// Execute a snipe order
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fn execute_snipe_order(&mut self, bid: Decimal, ask: Decimal) -> Result<()> {
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// Calculate order size (random between min and max)
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let random_factor = Decimal::from(rand::random::<u64>() % 100) / Decimal::from(100);
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let size = self.min_order_size +
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(self.max_order_size - self.min_order_size) * random_factor;
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// Determine side based on market conditions
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let side = if bid > ask {
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Side::Sell // Crossed market, sell
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} else {
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Side::Buy // Normal market, buy
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};
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// Create market order request
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let request = MarketOrderRequest {
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token_id: self.token_id.clone(),
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side,
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amount: size,
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slippage_tolerance: Some(dec!(1.0)), // 1% slippage tolerance
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client_id: Some(format!("snipe_{}", time::now_millis())),
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};
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// Get current book for execution simulation
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let book = self.book_manager.get_book(&self.token_id)?;
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let mut book_impl = polyfill_rs::book::OrderBook::new(self.token_id.clone(), 100);
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// Convert to internal book format
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for level in &book.bids {
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book_impl.apply_delta(OrderDelta {
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token_id: self.token_id.clone(),
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timestamp: chrono::Utc::now(),
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side: Side::Buy,
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price: level.price,
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size: level.size,
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sequence: 1,
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})?;
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}
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for level in &book.asks {
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book_impl.apply_delta(OrderDelta {
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token_id: self.token_id.clone(),
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timestamp: chrono::Utc::now(),
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side: Side::Sell,
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price: level.price,
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size: level.size,
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sequence: 2,
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})?;
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}
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// Execute order
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let start_time = std::time::Instant::now();
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let result = self.fill_engine.execute_market_order(&request, &book_impl)?;
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let fill_time = start_time.elapsed().as_millis() as f64;
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// Update statistics
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self.stats.orders_placed += 1;
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if result.status == FillStatus::Filled {
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self.stats.orders_filled += 1;
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}
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// Update average fill time
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let total_time = self.stats.avg_fill_time_ms * (self.stats.orders_filled - 1) as f64 + fill_time;
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self.stats.avg_fill_time_ms = total_time / self.stats.orders_filled as f64;
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info!(
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"Snipe order executed: {} {} @ {} (fill time: {}ms)",
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result.total_size,
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side.as_str(),
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result.average_price,
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fill_time
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);
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Ok(())
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}
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/// Check for stale quotes
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fn check_stale_quotes(&mut self) -> Result<()> {
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let now = time::now_secs();
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let age = now.saturating_sub(self.last_update);
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if age > self.stale_threshold {
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warn!(
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"Stale quotes detected: {}s old (threshold: {}s)",
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age, self.stale_threshold
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);
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// In a real implementation, you might:
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// - Cancel pending orders
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// - Switch to a different data source
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// - Reduce position sizes
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// - Stop trading temporarily
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}
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Ok(())
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}
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/// Get current statistics
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pub fn get_stats(&self) -> &SnipeStats {
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&self.stats
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}
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}
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/// Mock market data generator for testing
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struct MockMarketData {
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token_id: String,
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base_price: Decimal,
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volatility: Decimal,
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sequence: u64,
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}
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impl MockMarketData {
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fn new(token_id: String, base_price: Decimal) -> Self {
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Self {
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token_id,
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base_price,
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volatility: dec!(0.01), // 1% volatility
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sequence: 0,
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}
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}
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fn generate_update(&mut self) -> StreamMessage {
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self.sequence += 1;
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// Generate random price movement
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let random_factor = Decimal::from(rand::random::<i64>() % 100 - 50) / Decimal::from(100);
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let volatility_f64 = self.volatility.to_f64().unwrap_or(0.01);
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let price_change = random_factor * Decimal::from(2) * self.volatility;
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let new_price = self.base_price * (Decimal::from(1) + price_change);
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// Generate order book update
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let side = if rand::random::<bool>() { Side::Buy } else { Side::Sell };
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let size = Decimal::from(rand::random::<u64>() % 1000 + 100);
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StreamMessage::BookUpdate {
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data: OrderDelta {
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token_id: self.token_id.clone(),
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timestamp: chrono::Utc::now(),
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side,
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price: new_price,
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size,
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sequence: self.sequence,
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}
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}
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}
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}
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#[tokio::main]
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async fn main() -> Result<()> {
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// Initialize logging
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tracing_subscriber::fmt::init();
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info!("Starting snipe trading example...");
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// Create snipe strategy
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let mut strategy = SnipeStrategy::new(
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"12345".to_string(), // Example token ID
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dec!(2.0), // 2% max spread
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dec!(10), // Min order size
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dec!(100), // Max order size
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5, // 5 second stale threshold
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);
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// Create mock market data generator
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let mut market_data = MockMarketData::new(
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"12345".to_string(),
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dec!(0.5), // Base price $0.50
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);
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// Simulate market data stream
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let mut message_count = 0;
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let max_messages = 100;
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while message_count < max_messages {
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// Generate market update
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let update = market_data.generate_update();
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// Process update
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if let Err(e) = strategy.process_update(update) {
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error!("Error processing update: {}", e);
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}
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// Print statistics every 10 messages
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if message_count % 10 == 0 {
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let stats = strategy.get_stats();
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info!(
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"Stats: {} opportunities, {} orders placed, {} filled, avg fill time: {:.2}ms",
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stats.opportunities_detected,
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stats.orders_placed,
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stats.orders_filled,
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stats.avg_fill_time_ms
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);
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}
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message_count += 1;
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sleep(Duration::from_millis(100)).await; // 100ms between updates
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}
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// Print final statistics
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let final_stats = strategy.get_stats();
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info!("Final statistics:");
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info!(" Opportunities detected: {}", final_stats.opportunities_detected);
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info!(" Orders placed: {}", final_stats.orders_placed);
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info!(" Orders filled: {}", final_stats.orders_filled);
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info!(" Total volume: {}", final_stats.total_volume);
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info!(" Average fill time: {:.2}ms", final_stats.avg_fill_time_ms);
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info!("Snipe trading example completed!");
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Ok(())
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}
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