moving engine to rust

This commit is contained in:
Boki 2025-07-03 20:10:33 -04:00
parent d14380d740
commit 16ac28a565
16 changed files with 1598 additions and 3 deletions

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use std::collections::HashMap;
use std::sync::Arc;
use parking_lot::RwLock;
use chrono::{DateTime, Utc};
use serde::{Serialize, Deserialize};
use crate::{
TradingMode, MarketDataSource, ExecutionHandler, TimeProvider,
MarketUpdate, MarketDataType, Order, Fill, Side,
positions::PositionTracker,
risk::RiskEngine,
orderbook::OrderBookManager,
};
use super::{
BacktestConfig, BacktestState, EventQueue, BacktestEvent, EventType,
Strategy, Signal, SignalType, BacktestResult,
};
pub struct BacktestEngine {
config: BacktestConfig,
state: Arc<RwLock<BacktestState>>,
event_queue: Arc<RwLock<EventQueue>>,
strategies: Arc<RwLock<Vec<Box<dyn Strategy>>>>,
// Core components
position_tracker: Arc<PositionTracker>,
risk_engine: Arc<RiskEngine>,
orderbook_manager: Arc<OrderBookManager>,
time_provider: Arc<Box<dyn TimeProvider>>,
market_data_source: Arc<RwLock<Box<dyn MarketDataSource>>>,
execution_handler: Arc<RwLock<Box<dyn ExecutionHandler>>>,
// Metrics
total_trades: usize,
profitable_trades: usize,
total_pnl: f64,
}
impl BacktestEngine {
pub fn new(
config: BacktestConfig,
mode: TradingMode,
time_provider: Box<dyn TimeProvider>,
market_data_source: Box<dyn MarketDataSource>,
execution_handler: Box<dyn ExecutionHandler>,
) -> Self {
let state = Arc::new(RwLock::new(
BacktestState::new(config.initial_capital, config.start_time)
));
Self {
config,
state,
event_queue: Arc::new(RwLock::new(EventQueue::new())),
strategies: Arc::new(RwLock::new(Vec::new())),
position_tracker: Arc::new(PositionTracker::new()),
risk_engine: Arc::new(RiskEngine::new()),
orderbook_manager: Arc::new(OrderBookManager::new()),
time_provider: Arc::new(time_provider),
market_data_source: Arc::new(RwLock::new(market_data_source)),
execution_handler: Arc::new(RwLock::new(execution_handler)),
total_trades: 0,
profitable_trades: 0,
total_pnl: 0.0,
}
}
pub fn add_strategy(&mut self, strategy: Box<dyn Strategy>) {
self.strategies.write().push(strategy);
}
pub async fn run(&mut self) -> Result<BacktestResult, String> {
// Initialize start time
if let Some(simulated_time) = self.time_provider.as_any()
.downcast_ref::<crate::core::time_providers::SimulatedTime>()
{
simulated_time.advance_to(self.config.start_time);
}
// Load market data
self.load_market_data().await?;
// Main event loop
while !self.event_queue.read().is_empty() ||
self.time_provider.now() < self.config.end_time
{
// Get next batch of events
let current_time = self.time_provider.now();
let events = self.event_queue.write().pop_until(current_time);
for event in events {
self.process_event(event).await?;
}
// Update portfolio value
self.update_portfolio_value();
// Check if we should advance time
if self.event_queue.read().is_empty() {
// Advance to next data point or end time
if let Some(next_time) = self.get_next_event_time() {
if next_time < self.config.end_time {
self.advance_time(next_time);
} else {
break;
}
} else {
break;
}
}
}
// Generate results
Ok(self.generate_results())
}
async fn load_market_data(&mut self) -> Result<(), String> {
let mut data_source = self.market_data_source.write();
// Seek to start time
data_source.seek_to_time(self.config.start_time)?;
// Load all data into event queue
while let Some(update) = data_source.get_next_update().await {
if update.timestamp > self.config.end_time {
break;
}
let event = BacktestEvent::market_data(update.timestamp, update);
self.event_queue.write().push(event);
}
Ok(())
}
async fn process_event(&mut self, event: BacktestEvent) -> Result<(), String> {
match event.event_type {
EventType::MarketData(data) => {
self.process_market_data(data).await?;
}
EventType::OrderSubmitted(order) => {
self.process_order_submission(order).await?;
}
EventType::OrderFilled(fill) => {
// Fills are already processed when orders are executed
// This event is just for recording
self.state.write().record_fill(fill);
}
EventType::OrderCancelled(order_id) => {
self.process_order_cancellation(&order_id)?;
}
EventType::TimeUpdate(time) => {
self.advance_time(time);
}
}
Ok(())
}
async fn process_market_data(&mut self, data: MarketUpdate) -> Result<(), String> {
// Update orderbook if it's quote data
match &data.data {
MarketDataType::Quote(quote) => {
// For now, skip orderbook updates
// self.orderbook_manager.update_quote(&data.symbol, quote.bid, quote.ask);
}
MarketDataType::Trade(trade) => {
// For now, skip orderbook updates
// self.orderbook_manager.update_last_trade(&data.symbol, trade.price, trade.size);
}
_ => {}
}
// Convert to simpler MarketData for strategies
let market_data = self.convert_to_market_data(&data);
// Send to strategies
let mut all_signals = Vec::new();
{
let mut strategies = self.strategies.write();
for strategy in strategies.iter_mut() {
let signals = strategy.on_market_data(&market_data);
all_signals.extend(signals);
}
}
// Process signals
for signal in all_signals {
self.process_signal(signal).await?;
}
// Check pending orders for fills
self.check_pending_orders(&data).await?;
Ok(())
}
fn convert_to_market_data(&self, update: &MarketUpdate) -> MarketUpdate {
// MarketData is a type alias for MarketUpdate
update.clone()
}
async fn process_signal(&mut self, signal: Signal) -> Result<(), String> {
// Only process strong signals
if signal.strength.abs() < 0.7 {
return Ok(());
}
// Convert signal to order
let order = self.signal_to_order(signal)?;
// Submit order
self.process_order_submission(order).await
}
fn signal_to_order(&self, signal: Signal) -> Result<Order, String> {
let quantity = signal.quantity.unwrap_or_else(|| {
// Calculate position size based on portfolio
self.calculate_position_size(&signal.symbol, signal.strength)
});
let side = match signal.signal_type {
SignalType::Buy => Side::Buy,
SignalType::Sell => Side::Sell,
SignalType::Close => {
// Determine side based on current position
let position = self.position_tracker.get_position(&signal.symbol);
if position.as_ref().map(|p| p.quantity > 0.0).unwrap_or(false) {
Side::Sell
} else {
Side::Buy
}
}
};
Ok(crate::Order {
id: format!("order_{}", uuid::Uuid::new_v4()),
symbol: signal.symbol,
side,
quantity,
order_type: crate::OrderType::Market,
time_in_force: crate::TimeInForce::Day,
})
}
async fn process_order_submission(&mut self, order: Order) -> Result<(), String> {
// Risk checks
// Get current position for the symbol
let current_position = self.position_tracker
.get_position(&order.symbol)
.map(|p| p.quantity);
let risk_check = self.risk_engine.check_order(&order, current_position);
if !risk_check.passed {
return Err(format!("Risk check failed: {:?}", risk_check.violations));
}
// Add to pending orders
self.state.write().add_pending_order(order.clone());
// For market orders in backtesting, fill immediately
if matches!(order.order_type, crate::OrderType::Market) {
self.check_order_fill(&order).await?;
}
Ok(())
}
async fn check_pending_orders(&mut self, market_data: &MarketUpdate) -> Result<(), String> {
let orders_to_check: Vec<Order> = {
let state = self.state.read();
state.pending_orders.values()
.filter(|o| o.symbol == market_data.symbol)
.cloned()
.collect()
};
for order in orders_to_check {
self.check_order_fill(&order).await?;
}
Ok(())
}
async fn check_order_fill(&mut self, order: &Order) -> Result<(), String> {
// Get current market price
// For now, use a simple fill model with last known price
// In a real backtest, this would use orderbook data
let base_price = 100.0; // TODO: Get from market data
// Apply slippage
let fill_price = match order.side {
crate::Side::Buy => base_price * (1.0 + self.config.slippage),
crate::Side::Sell => base_price * (1.0 - self.config.slippage),
};
// Create fill
let fill = crate::Fill {
timestamp: self.time_provider.now(),
price: fill_price,
quantity: order.quantity,
commission: order.quantity * fill_price * self.config.commission,
};
// Process the fill
self.process_fill(&order, fill).await
}
async fn process_fill(&mut self, order: &crate::Order, fill: crate::Fill) -> Result<(), String> {
// Remove from pending orders
self.state.write().remove_pending_order(&order.id);
// Update positions
let update = self.position_tracker.process_fill(
&order.symbol,
&fill,
order.side,
);
// Record the fill
self.state.write().record_fill(fill.clone());
// Update cash
let cash_change = match order.side {
crate::Side::Buy => -(fill.quantity * fill.price + fill.commission),
crate::Side::Sell => fill.quantity * fill.price - fill.commission,
};
self.state.write().cash += cash_change;
// Notify strategies
{
let mut strategies = self.strategies.write();
for strategy in strategies.iter_mut() {
strategy.on_fill(&order.symbol, fill.quantity, fill.price,
&format!("{:?}", order.side));
}
}
// Update metrics
self.total_trades += 1;
if update.resulting_position.realized_pnl > 0.0 {
self.profitable_trades += 1;
}
self.total_pnl = update.resulting_position.realized_pnl;
Ok(())
}
fn process_order_cancellation(&mut self, order_id: &str) -> Result<(), String> {
self.state.write().remove_pending_order(order_id);
Ok(())
}
fn advance_time(&mut self, time: DateTime<Utc>) {
if let Some(simulated_time) = self.time_provider.as_any()
.downcast_ref::<crate::core::time_providers::SimulatedTime>()
{
simulated_time.advance_to(time);
}
self.state.write().current_time = time;
}
fn update_portfolio_value(&mut self) {
let positions = self.position_tracker.get_all_positions();
let mut portfolio_value = self.state.read().cash;
for position in positions {
// For now, use a simple market value calculation
let market_value = position.quantity * 100.0; // TODO: Get actual price
portfolio_value += market_value;
}
self.state.write().update_portfolio_value(portfolio_value);
}
fn calculate_position_size(&self, symbol: &str, signal_strength: f64) -> f64 {
let portfolio_value = self.state.read().portfolio_value;
let allocation = 0.1; // 10% per position
let position_value = portfolio_value * allocation * signal_strength.abs();
let price = 100.0; // TODO: Get actual price from market data
(position_value / price).floor()
}
fn get_next_event_time(&self) -> Option<DateTime<Utc>> {
// In a real implementation, this would look at the next market data point
None
}
fn generate_results(&self) -> BacktestResult {
let state = self.state.read();
let (realized_pnl, unrealized_pnl) = self.position_tracker.get_total_pnl();
let total_pnl = realized_pnl + unrealized_pnl;
let total_return = (total_pnl / self.config.initial_capital) * 100.0;
BacktestResult {
config: self.config.clone(),
metrics: super::BacktestMetrics {
total_return,
total_trades: self.total_trades,
profitable_trades: self.profitable_trades,
win_rate: if self.total_trades > 0 {
(self.profitable_trades as f64 / self.total_trades as f64) * 100.0
} else { 0.0 },
profit_factor: 0.0, // TODO: Calculate properly
sharpe_ratio: 0.0, // TODO: Calculate properly
max_drawdown: 0.0, // TODO: Calculate properly
total_pnl,
avg_win: 0.0, // TODO: Calculate properly
avg_loss: 0.0, // TODO: Calculate properly
},
equity_curve: state.equity_curve.clone(),
trades: state.completed_trades.clone(),
final_positions: self.position_tracker.get_all_positions()
.into_iter()
.map(|p| (p.symbol.clone(), p))
.collect(),
}
}
}
// Add uuid dependency
use uuid::Uuid;