修正次日开盘目标市值现金投影
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@@ -2143,7 +2143,7 @@ impl PlatformExprStrategy {
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}
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let market = ctx.data.market(date, symbol)?;
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let current_value = if self.config.aiquant_transaction_cost {
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self.projected_position_value_at_execution_price(ctx, projected, date, symbol)
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self.projected_target_value_current_position_value(ctx, projected, date, symbol)
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} else {
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let valuation_price = if market.close.is_finite() && market.close > 0.0 {
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market.close
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@@ -2275,6 +2275,26 @@ impl PlatformExprStrategy {
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}
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}
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fn projected_target_value_current_position_value(
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&self,
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ctx: &StrategyContext<'_>,
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projected: &PortfolioState,
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date: NaiveDate,
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symbol: &str,
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) -> f64 {
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let Some(position) = projected.position(symbol) else {
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return 0.0;
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};
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if self.config.matching_type == MatchingType::NextBarOpen {
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if let Some(market) = ctx.data.market(date, symbol) {
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if market.prev_close.is_finite() && market.prev_close > 0.0 {
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return position.quantity as f64 * market.prev_close;
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}
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}
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}
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self.projected_position_value_at_execution_price(ctx, projected, date, symbol)
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}
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fn context_position_value_for_remaining_buy_cash(
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&self,
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ctx: &StrategyContext<'_>,
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@@ -10158,6 +10178,122 @@ mod tests {
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);
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}
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#[test]
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fn platform_aiquant_next_open_target_delta_uses_previous_close_and_sizes_at_open() {
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let date = d(2025, 1, 2);
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let symbol = "000001.SZ";
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let data = DataSet::from_components(
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vec![Instrument {
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symbol: symbol.to_string(),
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name: symbol.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: symbol.to_string(),
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timestamp: Some(format!("{date} 15:00:00")),
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day_open: 12.0,
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open: 12.0,
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high: 20.0,
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low: 9.8,
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close: 20.0,
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last_price: 20.0,
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bid1: 12.0,
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ask1: 12.0,
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prev_close: 10.0,
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volume: 1_000_000,
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minute_volume: 10_000,
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bid1_volume: 10_000,
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ask1_volume: 10_000,
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trading_phase: Some("continuous".to_string()),
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paused: false,
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upper_limit: 22.0,
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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: symbol.to_string(),
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market_cap_bn: 10.0,
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free_float_cap_bn: 10.0,
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pe_ttm: 8.0,
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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: symbol.to_string(),
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is_st: false,
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is_star_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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risk_level_code: None,
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}],
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vec![BenchmarkSnapshot {
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date,
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benchmark: "000852.SH".to_string(),
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open: 1000.0,
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close: 1002.0,
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prev_close: 998.0,
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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 mut portfolio = PortfolioState::new(10_000.0);
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portfolio.position_mut(symbol).buy(date, 100, 10.0);
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let subscriptions = BTreeSet::new();
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let ctx = StrategyContext {
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execution_date: date,
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decision_date: date,
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decision_index: 1,
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data: &data,
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portfolio: &portfolio,
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futures_account: None,
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open_orders: &[],
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dynamic_universe: None,
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subscriptions: &subscriptions,
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process_events: &[],
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active_process_event: None,
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active_datetime: None,
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order_events: &[],
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fills: &[],
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};
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let mut cfg = PlatformExprStrategyConfig::microcap_rotation();
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cfg.aiquant_transaction_cost = true;
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cfg.matching_type = MatchingType::NextBarOpen;
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cfg.risk_config.trading_constraints.volume_limit_enabled = false;
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cfg.risk_config.trading_constraints.liquidity_limit_enabled = false;
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let strategy = PlatformExprStrategy::new(cfg);
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let mut projected = portfolio.clone();
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let mut execution_state = super::ProjectedExecutionState::default();
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assert_eq!(
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strategy.projected_target_value_current_position_value(&ctx, &projected, date, symbol,),
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1_000.0
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);
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assert_eq!(
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strategy.project_target_value(
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&ctx,
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&mut projected,
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date,
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symbol,
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3_410.0,
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&mut execution_state,
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),
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Some(200)
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);
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assert_eq!(projected.position(symbol).unwrap().quantity, 300);
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}
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#[test]
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fn platform_next_open_sell_risk_uses_open_not_close_for_lower_limit() {
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let prev_date = d(2025, 1, 1);
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