Add bar and tick strategy lifecycle
This commit is contained in:
@@ -111,6 +111,8 @@ pub struct BrokerSimulator<C, R> {
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inactive_limit: bool,
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liquidity_limit: bool,
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intraday_execution_start_time: Option<NaiveTime>,
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runtime_intraday_start_time: Cell<Option<NaiveTime>>,
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runtime_intraday_end_time: Cell<Option<NaiveTime>>,
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next_order_id: Cell<u64>,
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open_orders: RefCell<Vec<OpenOrder>>,
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}
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@@ -129,6 +131,8 @@ impl<C, R> BrokerSimulator<C, R> {
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inactive_limit: true,
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liquidity_limit: true,
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intraday_execution_start_time: None,
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runtime_intraday_start_time: Cell::new(None),
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runtime_intraday_end_time: Cell::new(None),
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next_order_id: Cell::new(1),
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open_orders: RefCell::new(Vec::new()),
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}
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@@ -151,6 +155,8 @@ impl<C, R> BrokerSimulator<C, R> {
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inactive_limit: true,
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liquidity_limit: true,
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intraday_execution_start_time: None,
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runtime_intraday_start_time: Cell::new(None),
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runtime_intraday_end_time: Cell::new(None),
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next_order_id: Cell::new(1),
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open_orders: RefCell::new(Vec::new()),
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}
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@@ -521,6 +527,25 @@ where
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Ok(report)
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}
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pub fn execute_between(
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&self,
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date: NaiveDate,
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portfolio: &mut PortfolioState,
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data: &DataSet,
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decision: &StrategyDecision,
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start_time: Option<NaiveTime>,
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end_time: Option<NaiveTime>,
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) -> Result<BrokerExecutionReport, BacktestError> {
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let previous_start_time = self.runtime_intraday_start_time.get();
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let previous_end_time = self.runtime_intraday_end_time.get();
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self.runtime_intraday_start_time.set(start_time);
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self.runtime_intraday_end_time.set(end_time);
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let result = self.execute(date, portfolio, data, decision);
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self.runtime_intraday_start_time.set(previous_start_time);
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self.runtime_intraday_end_time.set(previous_end_time);
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result
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}
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fn process_order_intent(
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&self,
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date: NaiveDate,
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@@ -4128,12 +4153,16 @@ where
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return None;
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}
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let runtime_start_time = self.runtime_intraday_start_time.get();
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let runtime_end_time = self.runtime_intraday_end_time.get();
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let start_cursor = algo_request
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.and_then(|request| request.start_time)
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.or(runtime_start_time)
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.or(self.intraday_execution_start_time)
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.map(|start_time| date.and_time(start_time));
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let end_cursor = algo_request
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.and_then(|request| request.end_time)
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.or(runtime_end_time)
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.map(|end_time| date.and_time(end_time));
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let quotes = data.execution_quotes_on(date, symbol);
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@@ -810,6 +810,21 @@ impl DataSet {
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.unwrap_or(&[])
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}
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pub fn execution_quotes_on_date(&self, date: NaiveDate) -> Vec<IntradayExecutionQuote> {
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let mut quotes = self
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.execution_quotes_index
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.iter()
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.filter(|((quote_date, _), _)| *quote_date == date)
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.flat_map(|(_, rows)| rows.iter().cloned())
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.collect::<Vec<_>>();
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quotes.sort_by(|left, right| {
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left.timestamp
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.cmp(&right.timestamp)
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.then_with(|| left.symbol.cmp(&right.symbol))
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});
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quotes
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}
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pub fn benchmark_series(&self) -> Vec<BenchmarkSnapshot> {
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self.benchmark_by_date.values().cloned().collect()
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}
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@@ -640,6 +640,68 @@ where
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ProcessEventKind::OnDay,
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"on_day",
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)?;
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let bar_open_orders = self.broker.open_order_views();
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publish_phase_event(
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&mut self.strategy,
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&mut self.process_event_bus,
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execution_date,
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decision_date,
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decision_index,
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&self.data,
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&portfolio,
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&bar_open_orders,
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self.dynamic_universe.as_ref(),
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&self.subscriptions,
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&mut process_events,
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execution_date,
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ProcessEventKind::PreBar,
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"bar:pre",
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)?;
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decision.merge_from(collect_scheduled_decisions(
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&mut self.strategy,
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&scheduler,
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execution_date,
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ScheduleStage::Bar,
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&schedule_rules,
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decision_date,
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decision_index,
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&self.data,
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&portfolio,
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&bar_open_orders,
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self.dynamic_universe.as_ref(),
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&self.subscriptions,
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&mut process_events,
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&mut self.process_event_bus,
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default_stage_time(ScheduleStage::Bar),
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)?);
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decision.merge_from(self.strategy.on_bar(&StrategyContext {
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execution_date,
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decision_date,
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decision_index,
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data: &self.data,
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portfolio: &portfolio,
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open_orders: &bar_open_orders,
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dynamic_universe: self.dynamic_universe.as_ref(),
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subscriptions: &self.subscriptions,
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process_events: &process_events,
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active_process_event: None,
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})?);
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publish_phase_event(
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&mut self.strategy,
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&mut self.process_event_bus,
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execution_date,
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decision_date,
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decision_index,
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&self.data,
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&portfolio,
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&bar_open_orders,
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self.dynamic_universe.as_ref(),
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&self.subscriptions,
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&mut process_events,
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execution_date,
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ProcessEventKind::Bar,
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"bar",
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)?;
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self.apply_strategy_directives(
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execution_date,
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decision_date,
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@@ -691,6 +753,151 @@ where
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ProcessEventKind::PostOnDay,
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"on_day:post",
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)?;
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publish_phase_event(
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&mut self.strategy,
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&mut self.process_event_bus,
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execution_date,
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decision_date,
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decision_index,
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&self.data,
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&portfolio,
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&post_intraday_open_orders,
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self.dynamic_universe.as_ref(),
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&self.subscriptions,
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&mut process_events,
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execution_date,
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ProcessEventKind::PostBar,
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"bar:post",
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)?;
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if should_run_tick_events(&schedule_rules, &self.subscriptions) {
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let filter_by_subscription = !self.subscriptions.is_empty();
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let tick_quotes = self
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.data
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.execution_quotes_on_date(execution_date)
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.into_iter()
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.filter(|quote| {
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!filter_by_subscription || self.subscriptions.contains("e.symbol)
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})
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.collect::<Vec<_>>();
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for quote in tick_quotes {
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let tick_time = quote.timestamp.time();
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let tick_open_orders = self.broker.open_order_views();
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publish_phase_event(
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&mut self.strategy,
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&mut self.process_event_bus,
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execution_date,
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decision_date,
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decision_index,
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&self.data,
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&portfolio,
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&tick_open_orders,
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self.dynamic_universe.as_ref(),
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&self.subscriptions,
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&mut process_events,
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execution_date,
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ProcessEventKind::PreTick,
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format!("tick:{}:{}:pre", quote.symbol, quote.timestamp),
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)?;
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let mut tick_decision = collect_scheduled_decisions(
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&mut self.strategy,
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&scheduler,
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execution_date,
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ScheduleStage::Tick,
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&schedule_rules,
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decision_date,
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decision_index,
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&self.data,
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&portfolio,
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&tick_open_orders,
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self.dynamic_universe.as_ref(),
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&self.subscriptions,
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&mut process_events,
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&mut self.process_event_bus,
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Some(tick_time),
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)?;
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tick_decision.merge_from(self.strategy.on_tick(
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&StrategyContext {
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execution_date,
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decision_date,
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decision_index,
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data: &self.data,
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portfolio: &portfolio,
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open_orders: &tick_open_orders,
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dynamic_universe: self.dynamic_universe.as_ref(),
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subscriptions: &self.subscriptions,
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process_events: &process_events,
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active_process_event: None,
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},
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"e,
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)?);
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publish_phase_event(
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&mut self.strategy,
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&mut self.process_event_bus,
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execution_date,
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decision_date,
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decision_index,
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&self.data,
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&portfolio,
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&tick_open_orders,
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self.dynamic_universe.as_ref(),
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&self.subscriptions,
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&mut process_events,
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execution_date,
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ProcessEventKind::Tick,
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format!("tick:{}:{}", quote.symbol, quote.timestamp),
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)?;
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self.apply_strategy_directives(
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execution_date,
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decision_date,
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decision_index,
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&portfolio,
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&tick_open_orders,
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&mut process_events,
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&mut tick_decision,
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)?;
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let mut tick_report = self.broker.execute_between(
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execution_date,
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&mut portfolio,
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&self.data,
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&tick_decision,
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Some(tick_time),
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Some(tick_time),
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)?;
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let post_tick_open_orders = self.broker.open_order_views();
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publish_process_events(
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&mut self.strategy,
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&mut self.process_event_bus,
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execution_date,
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decision_date,
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decision_index,
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&self.data,
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&portfolio,
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&post_tick_open_orders,
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self.dynamic_universe.as_ref(),
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&self.subscriptions,
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&mut process_events,
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&mut tick_report.process_events,
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)?;
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merge_broker_report(&mut report, tick_report);
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publish_phase_event(
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&mut self.strategy,
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&mut self.process_event_bus,
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execution_date,
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decision_date,
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decision_index,
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&self.data,
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&portfolio,
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&post_tick_open_orders,
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self.dynamic_universe.as_ref(),
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&self.subscriptions,
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&mut process_events,
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execution_date,
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ProcessEventKind::PostTick,
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format!("tick:{}:{}:post", quote.symbol, quote.timestamp),
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)?;
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}
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}
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portfolio.update_prices(execution_date, &self.data, PriceField::Close)?;
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@@ -1557,12 +1764,27 @@ fn stage_label(stage: ScheduleStage) -> &'static str {
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match stage {
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ScheduleStage::BeforeTrading => "before_trading",
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ScheduleStage::OpenAuction => "open_auction",
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ScheduleStage::Bar => "bar",
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ScheduleStage::Tick => "tick",
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ScheduleStage::OnDay => "on_day",
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ScheduleStage::AfterTrading => "after_trading",
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ScheduleStage::Settlement => "settlement",
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}
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}
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fn should_run_tick_events(rules: &[ScheduleRule], subscriptions: &BTreeSet<String>) -> bool {
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!subscriptions.is_empty() || rules.iter().any(|rule| rule.stage == ScheduleStage::Tick)
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}
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fn merge_broker_report(target: &mut BrokerExecutionReport, incoming: BrokerExecutionReport) {
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target.order_events.extend(incoming.order_events);
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target.fill_events.extend(incoming.fill_events);
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target.position_events.extend(incoming.position_events);
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target.account_events.extend(incoming.account_events);
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target.process_events.extend(incoming.process_events);
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target.diagnostics.extend(incoming.diagnostics);
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}
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mod date_format {
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use chrono::NaiveDate;
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use serde::Serializer;
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@@ -108,6 +108,12 @@ pub enum ProcessEventKind {
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PreOpenAuction,
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OpenAuction,
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PostOpenAuction,
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PreBar,
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Bar,
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PostBar,
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PreTick,
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Tick,
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PostTick,
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PreScheduled,
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PostScheduled,
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PreOnDay,
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@@ -141,6 +147,12 @@ impl ProcessEventKind {
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Self::PreOpenAuction => "pre_open_auction",
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Self::OpenAuction => "open_auction",
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Self::PostOpenAuction => "post_open_auction",
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Self::PreBar => "pre_bar",
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Self::Bar => "bar",
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Self::PostBar => "post_bar",
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Self::PreTick => "pre_tick",
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Self::Tick => "tick",
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Self::PostTick => "post_tick",
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Self::PreScheduled => "pre_scheduled",
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Self::PostScheduled => "post_scheduled",
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Self::PreOnDay => "pre_on_day",
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@@ -6,6 +6,8 @@ use crate::calendar::TradingCalendar;
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pub enum ScheduleStage {
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BeforeTrading,
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OpenAuction,
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Bar,
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Tick,
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OnDay,
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AfterTrading,
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Settlement,
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@@ -222,6 +224,8 @@ pub fn default_stage_time(stage: ScheduleStage) -> Option<NaiveTime> {
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match stage {
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ScheduleStage::BeforeTrading => Some(NaiveTime::from_hms_opt(9, 0, 0).expect("valid time")),
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ScheduleStage::OpenAuction => Some(NaiveTime::from_hms_opt(9, 31, 0).expect("valid time")),
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ScheduleStage::Bar => Some(NaiveTime::from_hms_opt(10, 18, 0).expect("valid time")),
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ScheduleStage::Tick => None,
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ScheduleStage::OnDay => Some(NaiveTime::from_hms_opt(10, 18, 0).expect("valid time")),
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ScheduleStage::AfterTrading => Some(NaiveTime::from_hms_opt(15, 0, 0).expect("valid time")),
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ScheduleStage::Settlement => Some(NaiveTime::from_hms_opt(15, 1, 0).expect("valid time")),
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@@ -7,7 +7,7 @@ use std::sync::OnceLock;
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use chrono::{Datelike, Duration, NaiveDate, NaiveDateTime, NaiveTime};
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use crate::cost::ChinaAShareCostModel;
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use crate::data::{DataSet, PriceField};
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use crate::data::{DataSet, IntradayExecutionQuote, PriceField};
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use crate::engine::BacktestError;
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use crate::events::{OrderSide, ProcessEvent};
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use crate::portfolio::PortfolioState;
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@@ -42,7 +42,19 @@ pub trait Strategy {
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) -> Result<StrategyDecision, BacktestError> {
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Ok(StrategyDecision::default())
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}
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fn on_day(&mut self, ctx: &StrategyContext<'_>) -> Result<StrategyDecision, BacktestError>;
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fn on_bar(&mut self, _ctx: &StrategyContext<'_>) -> Result<StrategyDecision, BacktestError> {
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Ok(StrategyDecision::default())
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}
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fn on_tick(
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&mut self,
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_ctx: &StrategyContext<'_>,
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_quote: &IntradayExecutionQuote,
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) -> Result<StrategyDecision, BacktestError> {
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Ok(StrategyDecision::default())
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}
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fn on_day(&mut self, _ctx: &StrategyContext<'_>) -> Result<StrategyDecision, BacktestError> {
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Ok(StrategyDecision::default())
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}
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fn after_trading(&mut self, _ctx: &StrategyContext<'_>) -> Result<(), BacktestError> {
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Ok(())
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}
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@@ -102,6 +102,10 @@ pub fn built_in_strategy_manual() -> StrategyAiManual {
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title: "rebalance.weekly / rebalance.monthly".to_string(),
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detail: "支持按交易周或交易月调仓,例如 rebalance.weekly(weekday=5).at([\"10:18\"])、rebalance.weekly(tradingday=-1).at([\"10:18\"])、rebalance.monthly(tradingday=1).at([\"10:18\"])。`.at([...])` 的最后一个时刻会编进分钟级 schedule/time_rule;当前平台把 on_day 近似到 10:18,把 open_auction 近似到 09:31。".to_string(),
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},
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ManualSection {
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title: "bar / tick 生命周期".to_string(),
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detail: "回测内核支持 rqalpha 风格的 bar/tick 生命周期:日内会发布 pre_bar/bar/post_bar 过程事件;存在 tick 订阅或 tick 调度规则时,会按 execution_quotes 的时间顺序发布 pre_tick/tick/post_tick,并把 tick 阶段下单限制在当前 tick 时间窗内撮合。平台 DSL 中可通过 subscribe([...])、trading.subscription_guard(true) 和 process_event 字段配合显式订单模拟 tick 订阅策略。".to_string(),
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},
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ManualSection {
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title: "selection.market_cap_band / selection.limit / ordering.rank_by / ordering.rank_expr".to_string(),
|
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detail: "控制候选范围、数量和排序。支持表达式驱动的动态市值带和排序表达式。".to_string(),
|
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|
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@@ -2,18 +2,24 @@ use std::cell::RefCell;
|
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use std::collections::{BTreeMap, BTreeSet};
|
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use std::rc::Rc;
|
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|
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use chrono::NaiveDate;
|
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use chrono::{NaiveDate, NaiveDateTime};
|
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use fidc_core::{
|
||||
BacktestConfig, BacktestEngine, BenchmarkSnapshot, BrokerSimulator, CandidateEligibility,
|
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ChinaAShareCostModel, ChinaEquityRuleHooks, DailyFactorSnapshot, DailyMarketSnapshot, DataSet,
|
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Instrument, OrderIntent, PriceField, ProcessEventKind, ScheduleRule, ScheduleStage,
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ScheduleTimeRule, Strategy, StrategyContext, StrategyDecision,
|
||||
Instrument, IntradayExecutionQuote, OrderIntent, PriceField, ProcessEventKind, ScheduleRule,
|
||||
ScheduleStage, ScheduleTimeRule, Strategy, StrategyContext, StrategyDecision,
|
||||
};
|
||||
|
||||
fn d(year: i32, month: u32, day: u32) -> NaiveDate {
|
||||
NaiveDate::from_ymd_opt(year, month, day).expect("valid date")
|
||||
}
|
||||
|
||||
fn dt(year: i32, month: u32, day: u32, hour: u32, minute: u32, second: u32) -> NaiveDateTime {
|
||||
d(year, month, day)
|
||||
.and_hms_opt(hour, minute, second)
|
||||
.expect("valid datetime")
|
||||
}
|
||||
|
||||
struct HookProbeStrategy {
|
||||
log: Rc<RefCell<Vec<String>>>,
|
||||
}
|
||||
@@ -133,6 +139,11 @@ struct UniverseDirectiveStrategy {
|
||||
snapshots: Rc<RefCell<Vec<String>>>,
|
||||
}
|
||||
|
||||
struct TickProbeStrategy {
|
||||
seen_ticks: Rc<RefCell<Vec<String>>>,
|
||||
ordered: bool,
|
||||
}
|
||||
|
||||
impl Strategy for ScheduledProbeStrategy {
|
||||
fn name(&self) -> &str {
|
||||
"scheduled-probe"
|
||||
@@ -287,6 +298,58 @@ impl Strategy for UniverseDirectiveStrategy {
|
||||
}
|
||||
}
|
||||
|
||||
impl Strategy for TickProbeStrategy {
|
||||
fn name(&self) -> &str {
|
||||
"tick-probe"
|
||||
}
|
||||
|
||||
fn on_day(
|
||||
&mut self,
|
||||
_ctx: &StrategyContext<'_>,
|
||||
) -> Result<StrategyDecision, fidc_core::BacktestError> {
|
||||
Ok(StrategyDecision {
|
||||
rebalance: false,
|
||||
target_weights: BTreeMap::new(),
|
||||
exit_symbols: BTreeSet::new(),
|
||||
order_intents: vec![OrderIntent::Subscribe {
|
||||
symbols: BTreeSet::from(["000001.SZ".to_string()]),
|
||||
reason: "subscribe_tick_probe".to_string(),
|
||||
}],
|
||||
notes: Vec::new(),
|
||||
diagnostics: Vec::new(),
|
||||
})
|
||||
}
|
||||
|
||||
fn on_tick(
|
||||
&mut self,
|
||||
ctx: &StrategyContext<'_>,
|
||||
quote: &IntradayExecutionQuote,
|
||||
) -> Result<StrategyDecision, fidc_core::BacktestError> {
|
||||
self.seen_ticks.borrow_mut().push(format!(
|
||||
"{}:{}:{}",
|
||||
quote.symbol,
|
||||
quote.timestamp.time(),
|
||||
ctx.is_subscribed("e.symbol)
|
||||
));
|
||||
if self.ordered {
|
||||
return Ok(StrategyDecision::default());
|
||||
}
|
||||
self.ordered = true;
|
||||
Ok(StrategyDecision {
|
||||
rebalance: false,
|
||||
target_weights: BTreeMap::new(),
|
||||
exit_symbols: BTreeSet::new(),
|
||||
order_intents: vec![OrderIntent::Shares {
|
||||
symbol: quote.symbol.clone(),
|
||||
quantity: 100,
|
||||
reason: "tick_buy".to_string(),
|
||||
}],
|
||||
notes: Vec::new(),
|
||||
diagnostics: Vec::new(),
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn engine_runs_strategy_hooks_in_daily_order() {
|
||||
let date1 = d(2025, 1, 2);
|
||||
@@ -454,9 +517,9 @@ fn engine_runs_strategy_hooks_in_daily_order() {
|
||||
"settlement:2025-01-03",
|
||||
]
|
||||
);
|
||||
assert_eq!(result.process_events.len(), 30);
|
||||
assert_eq!(result.process_events.len(), 36);
|
||||
assert_eq!(
|
||||
result.process_events[..15]
|
||||
result.process_events[..18]
|
||||
.iter()
|
||||
.map(|event| &event.kind)
|
||||
.collect::<Vec<_>>(),
|
||||
@@ -469,7 +532,10 @@ fn engine_runs_strategy_hooks_in_daily_order() {
|
||||
&ProcessEventKind::PostOpenAuction,
|
||||
&ProcessEventKind::PreOnDay,
|
||||
&ProcessEventKind::OnDay,
|
||||
&ProcessEventKind::PreBar,
|
||||
&ProcessEventKind::Bar,
|
||||
&ProcessEventKind::PostOnDay,
|
||||
&ProcessEventKind::PostBar,
|
||||
&ProcessEventKind::PreAfterTrading,
|
||||
&ProcessEventKind::AfterTrading,
|
||||
&ProcessEventKind::PostAfterTrading,
|
||||
@@ -578,6 +644,156 @@ fn engine_executes_open_auction_decisions_before_on_day() {
|
||||
assert_eq!(result.fills[0].quantity, 100);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn engine_runs_subscribed_tick_hooks_and_executes_tick_orders() {
|
||||
let date = d(2025, 1, 2);
|
||||
let data = DataSet::from_components_with_actions_and_quotes(
|
||||
vec![Instrument {
|
||||
symbol: "000001.SZ".to_string(),
|
||||
name: "Anchor".to_string(),
|
||||
board: "SZ".to_string(),
|
||||
round_lot: 100,
|
||||
listed_at: Some(d(2020, 1, 1)),
|
||||
delisted_at: None,
|
||||
status: "active".to_string(),
|
||||
}],
|
||||
vec![DailyMarketSnapshot {
|
||||
date,
|
||||
symbol: "000001.SZ".to_string(),
|
||||
timestamp: Some("2025-01-02 10:18:00".to_string()),
|
||||
day_open: 10.0,
|
||||
open: 10.0,
|
||||
high: 10.4,
|
||||
low: 9.9,
|
||||
close: 10.3,
|
||||
last_price: 10.2,
|
||||
bid1: 10.1,
|
||||
ask1: 10.2,
|
||||
prev_close: 10.0,
|
||||
volume: 100_000,
|
||||
tick_volume: 100_000,
|
||||
bid1_volume: 100_000,
|
||||
ask1_volume: 100_000,
|
||||
trading_phase: Some("continuous".to_string()),
|
||||
paused: false,
|
||||
upper_limit: 11.0,
|
||||
lower_limit: 9.0,
|
||||
price_tick: 0.01,
|
||||
}],
|
||||
vec![DailyFactorSnapshot {
|
||||
date,
|
||||
symbol: "000001.SZ".to_string(),
|
||||
market_cap_bn: 20.0,
|
||||
free_float_cap_bn: 18.0,
|
||||
pe_ttm: 10.0,
|
||||
turnover_ratio: Some(1.0),
|
||||
effective_turnover_ratio: Some(1.0),
|
||||
extra_factors: BTreeMap::new(),
|
||||
}],
|
||||
vec![CandidateEligibility {
|
||||
date,
|
||||
symbol: "000001.SZ".to_string(),
|
||||
is_st: false,
|
||||
is_new_listing: false,
|
||||
is_paused: false,
|
||||
allow_buy: true,
|
||||
allow_sell: true,
|
||||
is_kcb: false,
|
||||
is_one_yuan: false,
|
||||
}],
|
||||
vec![BenchmarkSnapshot {
|
||||
date,
|
||||
benchmark: "000300.SH".to_string(),
|
||||
open: 100.0,
|
||||
close: 100.0,
|
||||
prev_close: 99.0,
|
||||
volume: 1_000_000,
|
||||
}],
|
||||
Vec::new(),
|
||||
vec![
|
||||
IntradayExecutionQuote {
|
||||
date,
|
||||
symbol: "000001.SZ".to_string(),
|
||||
timestamp: dt(2025, 1, 2, 10, 18, 0),
|
||||
last_price: 10.2,
|
||||
bid1: 10.1,
|
||||
ask1: 10.2,
|
||||
bid1_volume: 1_000,
|
||||
ask1_volume: 1_000,
|
||||
volume_delta: 1_000,
|
||||
amount_delta: 10_200.0,
|
||||
trading_phase: Some("continuous".to_string()),
|
||||
},
|
||||
IntradayExecutionQuote {
|
||||
date,
|
||||
symbol: "000001.SZ".to_string(),
|
||||
timestamp: dt(2025, 1, 2, 10, 19, 0),
|
||||
last_price: 10.3,
|
||||
bid1: 10.2,
|
||||
ask1: 10.3,
|
||||
bid1_volume: 1_000,
|
||||
ask1_volume: 1_000,
|
||||
volume_delta: 1_000,
|
||||
amount_delta: 10_300.0,
|
||||
trading_phase: Some("continuous".to_string()),
|
||||
},
|
||||
],
|
||||
)
|
||||
.expect("dataset");
|
||||
|
||||
let seen_ticks = Rc::new(RefCell::new(Vec::new()));
|
||||
let strategy = TickProbeStrategy {
|
||||
seen_ticks: seen_ticks.clone(),
|
||||
ordered: false,
|
||||
};
|
||||
let broker = BrokerSimulator::new_with_execution_price(
|
||||
ChinaAShareCostModel::default(),
|
||||
ChinaEquityRuleHooks::default(),
|
||||
PriceField::Last,
|
||||
);
|
||||
let mut engine = BacktestEngine::new(
|
||||
data,
|
||||
strategy,
|
||||
broker,
|
||||
BacktestConfig {
|
||||
initial_cash: 10_000.0,
|
||||
benchmark_code: "000300.SH".to_string(),
|
||||
start_date: Some(date),
|
||||
end_date: Some(date),
|
||||
decision_lag_trading_days: 0,
|
||||
execution_price_field: PriceField::Last,
|
||||
},
|
||||
);
|
||||
|
||||
let result = engine.run().expect("backtest run");
|
||||
|
||||
assert_eq!(
|
||||
seen_ticks.borrow().as_slice(),
|
||||
["000001.SZ:10:18:00:true", "000001.SZ:10:19:00:true"]
|
||||
);
|
||||
assert_eq!(result.fills.len(), 1);
|
||||
assert_eq!(result.fills[0].reason, "tick_buy");
|
||||
assert_eq!(result.fills[0].quantity, 100);
|
||||
assert!(
|
||||
result
|
||||
.process_events
|
||||
.iter()
|
||||
.any(|event| event.kind == ProcessEventKind::PreTick)
|
||||
);
|
||||
assert!(
|
||||
result
|
||||
.process_events
|
||||
.iter()
|
||||
.any(|event| event.kind == ProcessEventKind::Tick)
|
||||
);
|
||||
assert!(
|
||||
result
|
||||
.process_events
|
||||
.iter()
|
||||
.any(|event| event.kind == ProcessEventKind::PostTick)
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn engine_rejects_pending_limit_orders_at_market_close() {
|
||||
let date1 = d(2025, 1, 2);
|
||||
|
||||
@@ -22,7 +22,7 @@ current alignment pass.
|
||||
|
||||
- [x] minute-level `time_rule` semantics like `market_open`, `market_close`,
|
||||
`physical_time`
|
||||
- [ ] finer `1m` / `tick` strategy execution entrypoints beyond `open_auction`
|
||||
- [x] finer `1m` / `tick` strategy execution entrypoints beyond `open_auction`
|
||||
and `on_day`
|
||||
- [x] scheduled actions evaluated against explicit intraday times
|
||||
|
||||
@@ -57,5 +57,6 @@ current alignment pass.
|
||||
|
||||
## Current Step
|
||||
|
||||
Active implementation target: Phase 2 follow-up, finer `1m`/`tick`
|
||||
strategy execution entrypoints beyond the current explicit intraday schedules.
|
||||
Active implementation target: Phase 5 follow-up plus strategy data API parity:
|
||||
expose richer position lifecycle fields and RQAlpha-style data helpers such as
|
||||
`history_bars`, `current_snapshot`, instruments, and trading-date access.
|
||||
|
||||
Reference in New Issue
Block a user