完善平台表达式因子执行能力
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@@ -1675,6 +1675,7 @@ impl PlatformExprStrategy {
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scope.push("tick_volume", stock.tick_volume);
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scope.push("bid1_volume", stock.bid1_volume);
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scope.push("ask1_volume", stock.ask1_volume);
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scope.push("turnover", stock.turnover_ratio);
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scope.push("turnover_ratio", stock.turnover_ratio);
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scope.push("effective_turnover_ratio", stock.effective_turnover_ratio);
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scope.push("open", stock.open);
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@@ -1763,6 +1764,7 @@ impl PlatformExprStrategy {
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factors.insert("tick_volume".into(), Dynamic::from(stock.tick_volume));
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factors.insert("bid1_volume".into(), Dynamic::from(stock.bid1_volume));
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factors.insert("ask1_volume".into(), Dynamic::from(stock.ask1_volume));
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factors.insert("turnover".into(), Dynamic::from(stock.turnover_ratio));
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factors.insert("turnover_ratio".into(), Dynamic::from(stock.turnover_ratio));
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factors.insert(
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"effective_turnover_ratio".into(),
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@@ -2009,8 +2011,9 @@ impl PlatformExprStrategy {
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})
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.filter(|value| !value.trim().is_empty());
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let mut script_parts = Vec::new();
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if !self.config.prelude.trim().is_empty() {
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script_parts.push(self.config.prelude.trim().to_string());
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let prelude = Self::normalize_prelude_for_eval(&self.config.prelude);
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if !prelude.trim().is_empty() {
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script_parts.push(prelude);
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}
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if let Some(alias_prelude) = factor_alias_prelude {
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script_parts.push(alias_prelude);
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@@ -2028,6 +2031,28 @@ impl PlatformExprStrategy {
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Self::rewrite_ternary(expr.trim())
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}
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fn normalize_prelude_for_eval(prelude: &str) -> String {
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prelude
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.lines()
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.map(|line| {
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let trimmed = line.trim_end();
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let head = trimmed.trim_start();
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if head.is_empty()
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|| head.starts_with("//")
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|| trimmed.ends_with(';')
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|| trimmed.ends_with('{')
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|| trimmed.ends_with('}')
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|| !(head.starts_with("let ") || head.starts_with("const "))
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{
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trimmed.to_string()
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} else {
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format!("{trimmed};")
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}
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})
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.collect::<Vec<_>>()
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.join("\n")
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}
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fn expand_runtime_helpers(
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&self,
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ctx: &StrategyContext<'_>,
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@@ -2766,6 +2791,14 @@ impl PlatformExprStrategy {
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)
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}
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fn is_non_numeric_expr_error(error: &BacktestError) -> bool {
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matches!(
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error,
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BacktestError::Execution(message)
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if message.starts_with("platform expr did not produce a number: ")
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)
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}
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fn split_top_level_args(args: &str) -> Vec<String> {
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let mut parts = Vec::new();
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let mut start = 0usize;
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@@ -4006,7 +4039,7 @@ impl PlatformExprStrategy {
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"tick_volume" => Some(stock.tick_volume as f64),
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"bid1_volume" => Some(stock.bid1_volume as f64),
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"ask1_volume" => Some(stock.ask1_volume as f64),
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"turnover_ratio" => Some(stock.turnover_ratio),
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"turnover" | "turnover_ratio" => Some(stock.turnover_ratio),
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"effective_turnover_ratio" => Some(stock.effective_turnover_ratio),
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"open" => Some(stock.open),
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"high" => Some(stock.high),
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@@ -4075,6 +4108,7 @@ impl PlatformExprStrategy {
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return match self.eval_float(ctx, &self.config.rank_expr, day, Some(stock), None) {
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Ok(value) => Ok(value),
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Err(error) if Self::is_missing_rolling_mean_error(&error) => Ok(f64::NAN),
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Err(error) if Self::is_non_numeric_expr_error(&error) => Ok(f64::NAN),
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Err(error) => Err(error),
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};
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}
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@@ -5376,7 +5410,11 @@ mod tests {
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cfg.market_cap_lower_expr = "0".to_string();
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cfg.market_cap_upper_expr = "100".to_string();
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cfg.selection_limit_expr = "1".to_string();
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cfg.stock_filter_expr = "rolling_mean(\"volume\", 60) > 0".to_string();
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cfg.stock_filter_expr = concat!(
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"rolling_mean(\"volume\", 60) > 0",
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" && pct_change(\"close\", 1) > 0.0"
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)
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.to_string();
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let mut strategy = PlatformExprStrategy::new(cfg);
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let decision = strategy.on_day(&ctx).expect("platform decision");
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@@ -5534,6 +5572,139 @@ mod tests {
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assert_eq!(decision.order_intents.len(), 1);
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}
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#[test]
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fn platform_selection_expands_pct_change_in_filter_and_rank_expr() {
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let dates = [d(2025, 1, 2), d(2025, 1, 3), d(2025, 1, 6)];
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let market_rows = dates
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.iter()
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.enumerate()
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.map(|(index, date)| DailyMarketSnapshot {
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date: *date,
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symbol: "000001.SZ".to_string(),
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timestamp: None,
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day_open: 10.0 + index as f64,
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open: 10.0 + index as f64,
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high: 10.5 + index as f64,
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low: 9.5 + index as f64,
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close: 10.0 + index as f64,
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last_price: 10.0 + index as f64,
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bid1: 10.0 + index as f64,
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ask1: 10.0 + index as f64,
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prev_close: 9.8 + index as f64,
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volume: 1000 + index as u64 * 100,
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tick_volume: 0,
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bid1_volume: 0,
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ask1_volume: 0,
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trading_phase: None,
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paused: false,
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upper_limit: 20.0,
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lower_limit: 5.0,
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price_tick: 0.01,
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})
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.collect::<Vec<_>>();
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let factor_rows = dates
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.iter()
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.map(|date| DailyFactorSnapshot {
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date: *date,
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symbol: "000001.SZ".to_string(),
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market_cap_bn: 12.0,
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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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.collect::<Vec<_>>();
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let candidate_rows = dates
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.iter()
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.map(|date| CandidateEligibility {
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date: *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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.collect::<Vec<_>>();
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let benchmark_rows = dates
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.iter()
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.map(|date| BenchmarkSnapshot {
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date: *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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.collect::<Vec<_>>();
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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: "Ping An Bank".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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market_rows,
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factor_rows,
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candidate_rows,
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benchmark_rows,
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)
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.expect("dataset");
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let portfolio = PortfolioState::new(1_000_000.0);
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let subscriptions = BTreeSet::new();
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let ctx = StrategyContext {
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execution_date: dates[2],
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decision_date: dates[2],
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decision_index: 2,
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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.signal_symbol = "000001.SZ".to_string();
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cfg.refresh_rate = 1;
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cfg.max_positions = 1;
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cfg.benchmark_short_ma_days = 1;
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cfg.benchmark_long_ma_days = 1;
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cfg.market_cap_lower_expr = "0".to_string();
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cfg.market_cap_upper_expr = "100".to_string();
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cfg.selection_limit_expr = "1".to_string();
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cfg.prelude = "let turnover_floor = 0\nlet boost = 0.5".to_string();
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cfg.stock_filter_expr = concat!(
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"close > rolling_mean(\"close\", 2)",
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" && pct_change(\"close\", 1) > 0.08",
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" && turnover > turnover_floor"
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)
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.to_string();
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cfg.exposure_expr = "signal_close > 0 ? 1.0 : 0.5".to_string();
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cfg.buy_scale_expr = "touched_upper_limit ? 1.0 : 0.5".to_string();
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cfg.rank_expr = concat!(
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"(close / rolling_mean(\"close\", 2)) * 0.5",
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" + pct_change(\"close\", 1) * boost"
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)
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.to_string();
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cfg.rank_desc = true;
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let mut strategy = PlatformExprStrategy::new(cfg);
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let decision = strategy.on_day(&ctx).expect("platform decision");
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assert_eq!(decision.order_intents.len(), 1);
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}
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#[test]
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fn platform_strategy_emits_target_shares_explicit_action() {
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let date = d(2025, 2, 3);
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@@ -262,7 +262,7 @@ pub fn built_in_strategy_manual() -> StrategyAiManual {
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fields: vec![
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ManualField { name: "symbol".to_string(), field_type: "string".to_string(), detail: "证券代码。".to_string() },
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ManualField { name: "market_cap/free_float_cap".to_string(), field_type: "float".to_string(), detail: "总市值、流通市值。".to_string() },
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ManualField { name: "turnover_ratio/effective_turnover_ratio".to_string(), field_type: "float".to_string(), detail: "换手率、有效换手率。".to_string() },
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ManualField { name: "turnover/turnover_ratio/effective_turnover_ratio".to_string(), field_type: "float".to_string(), detail: "换手率、换手率标准字段、有效换手率;turnover 是 turnover_ratio 的兼容别名。".to_string() },
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ManualField { name: "open/high/low/close/last/last_price/prev_close/amount".to_string(), field_type: "float".to_string(), detail: "开盘、最高、最低、收盘、盘中价、昨收和成交额。".to_string() },
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ManualField { name: "upper_limit/lower_limit/price_tick/round_lot/minimum_order_quantity/order_step_size".to_string(), field_type: "float/int".to_string(), detail: "涨跌停、最小价位、整手、最小下单量和数量步长。KSH/BJSE 等板块可与 round_lot 不同。".to_string() },
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ManualField { name: "paused/is_st/is_kcb/is_one_yuan/is_new_listing".to_string(), field_type: "bool".to_string(), detail: "可交易性与板块标志。".to_string() },
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