Initial commit (clean, no build artifacts)

This commit is contained in:
floor-licker
2025-07-24 20:29:10 -04:00
commit 0da466ae61
24 changed files with 10893 additions and 0 deletions
+408
View File
@@ -0,0 +1,408 @@
//! Snipe example for polyfill-rs
//!
//! This example demonstrates high-frequency trading techniques including:
//! - Real-time order book monitoring
//! - Stale quote detection
//! - Rapid order execution
//! - Market impact analysis
use polyfill_rs::{
book::OrderBookManager,
errors::Result,
fill::{FillEngine, FillStatus},
types::*,
utils::time,
};
use rust_decimal::Decimal;
use rust_decimal_macros::dec;
use rust_decimal::prelude::ToPrimitive;
use std::time::Duration;
use tokio::time::sleep;
use tracing::{error, info, warn};
/// Snipe trading strategy
#[derive(Debug)]
pub struct SnipeStrategy {
/// Target token ID
token_id: String,
/// Maximum spread to consider
max_spread_pct: Decimal,
/// Minimum order size
min_order_size: Decimal,
/// Maximum order size
max_order_size: Decimal,
/// Stale quote threshold (seconds)
stale_threshold: u64,
/// Last known best prices
last_best_bid: Option<Decimal>,
last_best_ask: Option<Decimal>,
/// Last update timestamp
last_update: u64,
/// Order book manager
book_manager: OrderBookManager,
/// Fill engine
fill_engine: FillEngine,
/// Statistics
stats: SnipeStats,
}
/// Snipe trading statistics
#[derive(Debug, Clone)]
pub struct SnipeStats {
pub opportunities_detected: u64,
pub orders_placed: u64,
pub orders_filled: u64,
pub total_volume: Decimal,
pub total_pnl: Decimal,
pub avg_fill_time_ms: f64,
}
impl Default for SnipeStats {
fn default() -> Self {
Self {
opportunities_detected: 0,
orders_placed: 0,
orders_filled: 0,
total_volume: dec!(0),
total_pnl: dec!(0),
avg_fill_time_ms: 0.0,
}
}
}
impl SnipeStrategy {
/// Create a new snipe strategy
pub fn new(
token_id: String,
max_spread_pct: Decimal,
min_order_size: Decimal,
max_order_size: Decimal,
stale_threshold: u64,
) -> Self {
Self {
token_id,
max_spread_pct,
min_order_size,
max_order_size,
stale_threshold,
last_best_bid: None,
last_best_ask: None,
last_update: 0,
book_manager: OrderBookManager::new(100),
fill_engine: FillEngine::new(
min_order_size,
dec!(2.0), // 2% max slippage
5, // 5 bps fee rate
),
stats: SnipeStats::default(),
}
}
/// Process a market data update
pub fn process_update(&mut self, message: StreamMessage) -> Result<()> {
match message {
StreamMessage::BookUpdate { data } => {
if data.token_id == self.token_id {
self.process_book_update(data)?;
}
}
StreamMessage::Trade { data } => {
if data.token_id == self.token_id {
self.process_trade(data)?;
}
}
StreamMessage::Heartbeat { timestamp: _ } => {
self.check_stale_quotes()?;
}
_ => {}
}
Ok(())
}
/// Process order book update
fn process_book_update(&mut self, delta: OrderDelta) -> Result<()> {
// Ensure book exists
self.book_manager.get_or_create_book(&self.token_id)?;
// Update local order book
self.book_manager.apply_delta(delta.clone())?;
// Get current book state
let book = self.book_manager.get_book(&self.token_id)?;
// Update best prices
if let Some(best_bid) = book.bids.first() {
self.last_best_bid = Some(best_bid.price);
}
if let Some(best_ask) = book.asks.first() {
self.last_best_ask = Some(best_ask.price);
}
self.last_update = time::now_secs();
// Check for trading opportunities
self.check_opportunities()?;
Ok(())
}
/// Process trade update
fn process_trade(&mut self, fill: FillEvent) -> Result<()> {
info!(
"Trade: {} {} @ {} (size: {})",
fill.side.as_str(),
fill.token_id,
fill.price,
fill.size
);
// Update statistics
self.stats.total_volume += fill.size;
// Calculate P&L if this was our trade
// (In a real implementation, you'd track your own orders)
Ok(())
}
/// Check for trading opportunities
fn check_opportunities(&mut self) -> Result<()> {
let (bid, ask) = match (self.last_best_bid, self.last_best_ask) {
(Some(bid), Some(ask)) => (bid, ask),
_ => return Ok(()), // No liquidity
};
// Calculate spread
let spread_pct = match (bid, ask) {
(bid, ask) if bid > dec!(0) && ask > bid => {
(ask - bid) / bid * dec!(100)
}
_ => return Ok(()),
};
// Check if spread is within our target
if spread_pct <= self.max_spread_pct {
self.stats.opportunities_detected += 1;
info!(
"Opportunity detected: spread {}% (target: {}%)",
spread_pct, self.max_spread_pct
);
// Execute snipe order
self.execute_snipe_order(bid, ask)?;
}
Ok(())
}
/// Execute a snipe order
fn execute_snipe_order(&mut self, bid: Decimal, ask: Decimal) -> Result<()> {
// Calculate order size (random between min and max)
let random_factor = Decimal::from(rand::random::<u64>() % 100) / Decimal::from(100);
let size = self.min_order_size +
(self.max_order_size - self.min_order_size) * random_factor;
// Determine side based on market conditions
let side = if bid > ask {
Side::Sell // Crossed market, sell
} else {
Side::Buy // Normal market, buy
};
// Create market order request
let request = MarketOrderRequest {
token_id: self.token_id.clone(),
side,
amount: size,
slippage_tolerance: Some(dec!(1.0)), // 1% slippage tolerance
client_id: Some(format!("snipe_{}", time::now_millis())),
};
// Get current book for execution simulation
let book = self.book_manager.get_book(&self.token_id)?;
let mut book_impl = polyfill_rs::book::OrderBook::new(self.token_id.clone(), 100);
// Convert to internal book format
for level in &book.bids {
book_impl.apply_delta(OrderDelta {
token_id: self.token_id.clone(),
timestamp: chrono::Utc::now(),
side: Side::Buy,
price: level.price,
size: level.size,
sequence: 1,
})?;
}
for level in &book.asks {
book_impl.apply_delta(OrderDelta {
token_id: self.token_id.clone(),
timestamp: chrono::Utc::now(),
side: Side::Sell,
price: level.price,
size: level.size,
sequence: 2,
})?;
}
// Execute order
let start_time = std::time::Instant::now();
let result = self.fill_engine.execute_market_order(&request, &book_impl)?;
let fill_time = start_time.elapsed().as_millis() as f64;
// Update statistics
self.stats.orders_placed += 1;
if result.status == FillStatus::Filled {
self.stats.orders_filled += 1;
}
// Update average fill time
let total_time = self.stats.avg_fill_time_ms * (self.stats.orders_filled - 1) as f64 + fill_time;
self.stats.avg_fill_time_ms = total_time / self.stats.orders_filled as f64;
info!(
"Snipe order executed: {} {} @ {} (fill time: {}ms)",
result.total_size,
side.as_str(),
result.average_price,
fill_time
);
Ok(())
}
/// Check for stale quotes
fn check_stale_quotes(&mut self) -> Result<()> {
let now = time::now_secs();
let age = now.saturating_sub(self.last_update);
if age > self.stale_threshold {
warn!(
"Stale quotes detected: {}s old (threshold: {}s)",
age, self.stale_threshold
);
// In a real implementation, you might:
// - Cancel pending orders
// - Switch to a different data source
// - Reduce position sizes
// - Stop trading temporarily
}
Ok(())
}
/// Get current statistics
pub fn get_stats(&self) -> &SnipeStats {
&self.stats
}
}
/// Mock market data generator for testing
struct MockMarketData {
token_id: String,
base_price: Decimal,
volatility: Decimal,
sequence: u64,
}
impl MockMarketData {
fn new(token_id: String, base_price: Decimal) -> Self {
Self {
token_id,
base_price,
volatility: dec!(0.01), // 1% volatility
sequence: 0,
}
}
fn generate_update(&mut self) -> StreamMessage {
self.sequence += 1;
// Generate random price movement
let random_factor = Decimal::from(rand::random::<i64>() % 100 - 50) / Decimal::from(100);
let volatility_f64 = self.volatility.to_f64().unwrap_or(0.01);
let price_change = random_factor * Decimal::from(2) * self.volatility;
let new_price = self.base_price * (Decimal::from(1) + price_change);
// Generate order book update
let side = if rand::random::<bool>() { Side::Buy } else { Side::Sell };
let size = Decimal::from(rand::random::<u64>() % 1000 + 100);
StreamMessage::BookUpdate {
data: OrderDelta {
token_id: self.token_id.clone(),
timestamp: chrono::Utc::now(),
side,
price: new_price,
size,
sequence: self.sequence,
}
}
}
}
#[tokio::main]
async fn main() -> Result<()> {
// Initialize logging
tracing_subscriber::fmt::init();
info!("Starting snipe trading example...");
// Create snipe strategy
let mut strategy = SnipeStrategy::new(
"12345".to_string(), // Example token ID
dec!(2.0), // 2% max spread
dec!(10), // Min order size
dec!(100), // Max order size
5, // 5 second stale threshold
);
// Create mock market data generator
let mut market_data = MockMarketData::new(
"12345".to_string(),
dec!(0.5), // Base price $0.50
);
// Simulate market data stream
let mut message_count = 0;
let max_messages = 100;
while message_count < max_messages {
// Generate market update
let update = market_data.generate_update();
// Process update
if let Err(e) = strategy.process_update(update) {
error!("Error processing update: {}", e);
}
// Print statistics every 10 messages
if message_count % 10 == 0 {
let stats = strategy.get_stats();
info!(
"Stats: {} opportunities, {} orders placed, {} filled, avg fill time: {:.2}ms",
stats.opportunities_detected,
stats.orders_placed,
stats.orders_filled,
stats.avg_fill_time_ms
);
}
message_count += 1;
sleep(Duration::from_millis(100)).await; // 100ms between updates
}
// Print final statistics
let final_stats = strategy.get_stats();
info!("Final statistics:");
info!(" Opportunities detected: {}", final_stats.opportunities_detected);
info!(" Orders placed: {}", final_stats.orders_placed);
info!(" Orders filled: {}", final_stats.orders_filled);
info!(" Total volume: {}", final_stats.total_volume);
info!(" Average fill time: {:.2}ms", final_stats.avg_fill_time_ms);
info!("Snipe trading example completed!");
Ok(())
}