Add order runtime lookup
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@@ -157,6 +157,10 @@ struct DataApiProbeStrategy {
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snapshots: Rc<RefCell<Vec<String>>>,
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}
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struct OrderInspectionStrategy {
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observed: Rc<RefCell<Vec<String>>>,
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}
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impl Strategy for ScheduledProbeStrategy {
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fn name(&self) -> &str {
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"scheduled-probe"
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@@ -448,6 +452,45 @@ impl Strategy for DataApiProbeStrategy {
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}
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}
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impl Strategy for OrderInspectionStrategy {
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fn name(&self) -> &str {
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"order-inspection"
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}
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fn on_day(
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&mut self,
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_ctx: &StrategyContext<'_>,
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) -> Result<StrategyDecision, fidc_core::BacktestError> {
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Ok(StrategyDecision {
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rebalance: false,
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target_weights: BTreeMap::new(),
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exit_symbols: BTreeSet::new(),
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order_intents: vec![OrderIntent::Shares {
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symbol: "000001.SZ".to_string(),
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quantity: 100,
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reason: "inspect_buy".to_string(),
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}],
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notes: Vec::new(),
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diagnostics: Vec::new(),
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})
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}
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fn after_trading(&mut self, ctx: &StrategyContext<'_>) -> Result<(), fidc_core::BacktestError> {
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let order = ctx.order(1).expect("order 1 visible after trading");
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self.observed.borrow_mut().push(format!(
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"status={};filled={};unfilled={};avg={:.2};cost={:.2};symbol={};side={}",
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order.status.as_str(),
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order.filled_quantity,
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order.unfilled_quantity,
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order.avg_price,
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order.transaction_cost,
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order.symbol,
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order.side.as_str()
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));
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Ok(())
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}
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}
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#[test]
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fn engine_runs_strategy_hooks_in_daily_order() {
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let date1 = d(2025, 1, 2);
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@@ -1084,6 +1127,105 @@ fn strategy_context_exposes_rqalpha_style_data_helpers() {
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);
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}
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#[test]
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fn strategy_context_exposes_final_order_runtime_view() {
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let date = d(2025, 1, 2);
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let data = DataSet::from_components(
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vec![Instrument {
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symbol: "000001.SZ".to_string(),
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name: "Anchor".to_string(),
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board: "SZ".to_string(),
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round_lot: 100,
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listed_at: Some(d(2020, 1, 1)),
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delisted_at: None,
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status: "active".to_string(),
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}],
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vec![DailyMarketSnapshot {
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date,
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symbol: "000001.SZ".to_string(),
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timestamp: Some("2025-01-02 10:18:00".to_string()),
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day_open: 10.0,
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open: 10.0,
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high: 10.4,
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low: 9.9,
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close: 10.2,
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last_price: 10.2,
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bid1: 10.19,
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ask1: 10.2,
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prev_close: 10.0,
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volume: 100_000,
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tick_volume: 100_000,
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bid1_volume: 100_000,
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ask1_volume: 100_000,
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trading_phase: Some("continuous".to_string()),
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paused: false,
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upper_limit: 11.0,
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lower_limit: 9.0,
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price_tick: 0.01,
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}],
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vec![DailyFactorSnapshot {
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date,
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symbol: "000001.SZ".to_string(),
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market_cap_bn: 20.0,
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free_float_cap_bn: 18.0,
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pe_ttm: 10.0,
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turnover_ratio: Some(1.0),
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effective_turnover_ratio: Some(1.0),
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extra_factors: BTreeMap::new(),
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}],
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vec![CandidateEligibility {
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date,
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symbol: "000001.SZ".to_string(),
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is_st: false,
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is_new_listing: false,
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is_paused: false,
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allow_buy: true,
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allow_sell: true,
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is_kcb: false,
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is_one_yuan: false,
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}],
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vec![BenchmarkSnapshot {
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date,
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benchmark: "000300.SH".to_string(),
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open: 100.0,
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close: 100.0,
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prev_close: 99.0,
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volume: 1_000_000,
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}],
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)
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.expect("dataset");
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let observed = Rc::new(RefCell::new(Vec::new()));
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let strategy = OrderInspectionStrategy {
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observed: observed.clone(),
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};
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let broker = BrokerSimulator::new_with_execution_price(
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ChinaAShareCostModel::default(),
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ChinaEquityRuleHooks::default(),
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PriceField::Close,
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);
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let mut engine = BacktestEngine::new(
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data,
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strategy,
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broker,
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BacktestConfig {
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initial_cash: 10_000.0,
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benchmark_code: "000300.SH".to_string(),
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start_date: Some(date),
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end_date: Some(date),
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decision_lag_trading_days: 0,
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execution_price_field: PriceField::Close,
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},
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);
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engine.run().expect("backtest run");
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assert_eq!(
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observed.borrow().as_slice(),
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["status=filled;filled=100;unfilled=0;avg=10.20;cost=5.00;symbol=000001.SZ;side=buy"]
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);
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}
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#[test]
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fn engine_rejects_pending_limit_orders_at_market_close() {
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let date1 = d(2025, 1, 2);
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