5 Commits

Author SHA1 Message Date
boris
bbe60537ff 修复MA过滤器逻辑错误和成交量过滤器策略名称匹配
- 修复MA过滤器:第二个比较添加 * rsi_rate (ma10 * rsi_rate > ma30)
- 修复成交量过滤器:使用contains匹配策略名称而非精确匹配
- 添加调试日志用于诊断MA过滤问题
- 同时修复strategy.rs和platform_strategy_spec.rs中的逻辑
2026-05-11 20:13:52 +08:00
boris
3b033fd294 修复 core 执行层默认添加 new_listing 的问题
问题:
- platform expr 选股从 eligible_universe_on 开始
- eligible_universe_on 无条件过滤新股
- 导致即使 strategy_spec.universe.exclude 不含 new_listing,仍会过滤新股

修复:
- StrategyRuntimeSpec 补 universe_exclude 字段
- platform expr 选股从 factor/candidate/market 合并开始
- 按 strategy_spec.universe.exclude 自己决定是否排除 new_listing
- 补回归测试

相关:
- 保持旧策略默认排除不变
- 新策略可以显式不排除新股
2026-05-09 02:08:36 -07:00
boris
d9de9715ef chore: 更新 fidc-backtest-engine - 2026-05-08 2026-05-08 19:57:49 -07:00
boris
65742d4d5e chore: 更新 fidc-backtest-engine - 2026-05-08 2026-05-08 07:34:04 -07:00
boris
a47c7c3e49 chore: 更新 fidc-backtest-engine - 2026-05-07 2026-05-07 17:12:49 -07:00
8 changed files with 1029 additions and 160 deletions

View File

@@ -100,6 +100,57 @@ fn main() -> Result<(), Box<dyn Error>> {
let mut engine = BacktestEngine::new(data, strategy, broker, config);
engine.run()?
}
"aiquant-v104" => {
let mut strategy_cfg = OmniMicroCapConfig::aiquant_v104();
if let Ok(signal_symbol) = std::env::var("FIDC_BT_SIGNAL_SYMBOL") {
if !signal_symbol.trim().is_empty() {
strategy_cfg.benchmark_signal_symbol = signal_symbol;
}
}
if let Some(date) = debug_date {
let eligible = data.eligible_universe_on(date);
eprintln!(
"DEBUG eligible_universe_on {} count={}",
date,
eligible.len()
);
for row in eligible.iter().take(20) {
eprintln!(" {} {:.6}", row.symbol, row.market_cap_bn);
}
let mut debug_strategy = OmniMicroCapStrategy::new(strategy_cfg.clone());
let debug_subscriptions = BTreeSet::new();
let decision = debug_strategy.on_day(&StrategyContext {
execution_date: date,
decision_date: date,
decision_index: 1,
data: &data,
portfolio: &PortfolioState::new(20_000.0),
futures_account: None,
open_orders: &[],
dynamic_universe: None,
subscriptions: &debug_subscriptions,
process_events: &[],
active_process_event: None,
active_datetime: None,
order_events: &[],
fills: &[],
})?;
eprintln!("DEBUG notes={:?}", decision.notes);
eprintln!("DEBUG diagnostics={:?}", decision.diagnostics);
return Ok(());
}
config.decision_lag_trading_days = decision_lag.unwrap_or(1);
config.execution_price_field = execution_price.unwrap_or(PriceField::Close);
config.initial_cash = initial_cash.unwrap_or(20_000.0);
let strategy = OmniMicroCapStrategy::new(strategy_cfg);
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks::default(),
config.execution_price_field,
);
let mut engine = BacktestEngine::new(data, strategy, broker, config);
engine.run()?
}
_ => {
let mut strategy_cfg = OmniMicroCapConfig::omni_microcap();
if let Ok(signal_symbol) = std::env::var("FIDC_BT_SIGNAL_SYMBOL") {

View File

@@ -110,6 +110,7 @@ pub struct BrokerSimulator<C, R> {
volume_limit: bool,
inactive_limit: bool,
liquidity_limit: bool,
strict_value_budget: bool,
intraday_execution_start_time: Option<NaiveTime>,
runtime_intraday_start_time: Cell<Option<NaiveTime>>,
runtime_intraday_end_time: Cell<Option<NaiveTime>>,
@@ -130,6 +131,7 @@ impl<C, R> BrokerSimulator<C, R> {
volume_limit: true,
inactive_limit: true,
liquidity_limit: true,
strict_value_budget: false,
intraday_execution_start_time: None,
runtime_intraday_start_time: Cell::new(None),
runtime_intraday_end_time: Cell::new(None),
@@ -154,6 +156,7 @@ impl<C, R> BrokerSimulator<C, R> {
volume_limit: true,
inactive_limit: true,
liquidity_limit: true,
strict_value_budget: false,
intraday_execution_start_time: None,
runtime_intraday_start_time: Cell::new(None),
runtime_intraday_end_time: Cell::new(None),
@@ -177,6 +180,11 @@ impl<C, R> BrokerSimulator<C, R> {
self
}
pub fn with_strict_value_budget(mut self, enabled: bool) -> Self {
self.strict_value_budget = enabled;
self
}
pub fn with_volume_percent(mut self, volume_percent: f64) -> Self {
self.volume_percent = volume_percent;
self
@@ -3388,6 +3396,16 @@ where
requested_qty
}
fn value_budget_gross_limit(&self, value_budget: Option<f64>) -> Option<f64> {
value_budget.map(|budget| {
if self.strict_value_budget {
budget
} else {
budget + 400.0
}
})
}
fn process_buy(
&self,
date: NaiveDate,
@@ -3559,7 +3577,7 @@ where
execution_cursors,
None,
Some(portfolio.cash()),
value_budget.map(|budget| budget + 400.0),
self.value_budget_gross_limit(value_budget),
algo_request,
limit_price,
);
@@ -3590,7 +3608,7 @@ where
let filled_qty = self.affordable_buy_quantity(
date,
portfolio.cash(),
value_budget.map(|budget| budget + 400.0),
self.value_budget_gross_limit(value_budget),
execution_price,
constrained_qty,
self.minimum_order_quantity(data, symbol),
@@ -3601,7 +3619,7 @@ where
partial_fill_reason,
self.buy_reduction_reason(
portfolio.cash(),
value_budget.map(|budget| budget + 400.0),
self.value_budget_gross_limit(value_budget),
execution_price,
constrained_qty,
filled_qty,
@@ -3660,7 +3678,7 @@ where
side: OrderSide::Buy,
requested_quantity: requested_qty,
filled_quantity: 0,
status: OrderStatus::Rejected,
status: zero_fill_status_for_reason(detail),
reason: format!("{reason}: {detail}"),
});
Self::emit_order_process_event(
@@ -3670,7 +3688,10 @@ where
order_id,
symbol,
OrderSide::Buy,
format!("status=Rejected reason={detail}"),
format!(
"status={:?} reason={detail}",
zero_fill_status_for_reason(detail)
),
);
self.clear_open_order(order_id);
return Ok(());
@@ -4255,57 +4276,43 @@ where
}
if algo_request.is_some() || self.intraday_execution_start_time.is_some() {
let execution_price = self.snapshot_execution_price(snapshot, side);
if !self.price_satisfies_limit(
side,
execution_price,
limit_price,
snapshot.effective_price_tick(),
) {
return None;
}
let execution_price =
self.execution_price_with_limit_slippage(execution_price, limit_price);
let quantity = match side {
OrderSide::Buy => self.affordable_buy_quantity(
date,
cash_limit.unwrap_or(f64::INFINITY),
gross_limit,
execution_price,
requested_qty,
minimum_order_quantity,
order_step_size,
),
OrderSide::Sell => requested_qty,
};
if quantity == 0 {
return None;
}
let next_cursor = algo_request
.and_then(|request| request.start_time)
.or(self.intraday_execution_start_time)
.map(|start_time| date.and_time(start_time) + Duration::seconds(1))
.unwrap_or_else(|| date.and_hms_opt(0, 0, 1).expect("valid midnight"));
return Some(ExecutionFill {
quantity,
quantity: 0,
next_cursor,
legs: vec![ExecutionLeg {
price: execution_price,
quantity,
}],
unfilled_reason: self.buy_reduction_reason(
cash_limit.unwrap_or(f64::INFINITY),
gross_limit,
execution_price,
requested_qty,
quantity,
),
legs: Vec::new(),
unfilled_reason: Some(self.empty_intraday_quote_reason(
quotes,
start_cursor,
end_cursor,
)),
});
}
None
}
fn empty_intraday_quote_reason(
&self,
quotes: &[IntradayExecutionQuote],
start_cursor: Option<NaiveDateTime>,
end_cursor: Option<NaiveDateTime>,
) -> &'static str {
let saw_quote_in_window = quotes.iter().any(|quote| {
!start_cursor.is_some_and(|cursor| quote.timestamp < cursor)
&& !end_cursor.is_some_and(|cursor| quote.timestamp > cursor)
});
if saw_quote_in_window {
"intraday quote liquidity exhausted"
} else {
"no execution quotes after start"
}
}
fn select_execution_fill(
&self,
snapshot: &crate::data::DailyMarketSnapshot,
@@ -4487,7 +4494,10 @@ fn merge_partial_fill_reason(current: Option<String>, next: Option<&str>) -> Opt
fn zero_fill_status_for_reason(reason: &str) -> OrderStatus {
match reason {
"tick no volume" | "tick volume limit" => OrderStatus::Canceled,
"tick no volume"
| "tick volume limit"
| "intraday quote liquidity exhausted"
| "no execution quotes after start" => OrderStatus::Canceled,
_ => OrderStatus::Rejected,
}
}

View File

@@ -682,6 +682,23 @@ impl BenchmarkPriceSeries {
self.moving_average_for(date, lookback, PriceField::Close)
}
fn decision_moving_average(&self, date: NaiveDate, lookback: usize) -> Option<f64> {
if lookback == 0 {
return None;
}
let end = match self.dates.binary_search(&date) {
Ok(idx) => idx,
Err(0) => return None,
Err(idx) => idx,
};
if end < lookback {
return None;
}
let start = end - lookback;
let sum = self.close_prefix[end] - self.close_prefix[start];
Some(sum / lookback as f64)
}
fn moving_average_for(
&self,
date: NaiveDate,
@@ -2123,6 +2140,15 @@ impl DataSet {
self.benchmark_series_cache.moving_average(date, lookback)
}
pub fn benchmark_decision_moving_average(
&self,
date: NaiveDate,
lookback: usize,
) -> Option<f64> {
self.benchmark_series_cache
.decision_moving_average(date, lookback)
}
pub fn benchmark_open_moving_average(&self, date: NaiveDate, lookback: usize) -> Option<f64> {
self.benchmark_series_cache
.moving_average_for(date, lookback, PriceField::Open)

View File

@@ -199,6 +199,9 @@ pub struct PlatformExprStrategyConfig {
pub skip_month_day_ranges: Vec<(u32, u32, u32)>,
pub rebalance_schedule: Option<PlatformRebalanceSchedule>,
pub rotation_enabled: bool,
pub daily_top_up_enabled: bool,
pub retry_empty_rebalance: bool,
pub strict_value_budget: bool,
pub explicit_action_stage: PlatformExplicitActionStage,
pub explicit_action_schedule: Option<PlatformRebalanceSchedule>,
pub subscription_guard_required: bool,
@@ -249,6 +252,9 @@ fn band_low(index_close) {
skip_month_day_ranges: Vec::new(),
rebalance_schedule: None,
rotation_enabled: true,
daily_top_up_enabled: false,
retry_empty_rebalance: false,
strict_value_budget: false,
explicit_action_stage: PlatformExplicitActionStage::OnDay,
explicit_action_schedule: None,
subscription_guard_required: false,
@@ -508,16 +514,21 @@ impl PlatformExprStrategy {
scope: &mut Scope<'_>,
script: &str,
) -> Result<Dynamic, BacktestError> {
// 注意HashMap key 借用即可命中,避免重复克隆 String。
if let Some(ast) = self.compiled_cache.borrow().get(script) {
*self.cache_hits.borrow_mut() += 1;
return self
.engine
.eval_ast_with_scope::<Dynamic>(scope, ast)
.map_err(|error| {
BacktestError::Execution(format!("platform expr eval failed: {}", error))
});
// 命中分支:先借用 cache 拿到 AST做完 eval 再 drop borrow避免与
// cache_hits 的 borrow_mut 冲突(虽然是不同 RefCell但显式作用域更清晰
{
let cache = self.compiled_cache.borrow();
if let Some(ast) = cache.get(script) {
*self.cache_hits.borrow_mut() += 1;
return self
.engine
.eval_ast_with_scope::<Dynamic>(scope, ast)
.map_err(|error| {
BacktestError::Execution(format!("platform expr eval failed: {}", error))
});
}
}
// 未命中:先编译再插入缓存。
*self.cache_misses.borrow_mut() += 1;
let ast = self.engine.compile(script).map_err(|error| {
BacktestError::Execution(format!("platform expr compile failed: {}", error))
@@ -867,53 +878,6 @@ impl PlatformExprStrategy {
return None;
}
if let Some(market) = ctx.data.market(date, symbol) {
let execution_price = self.projected_execution_price(market, side);
if execution_price.is_finite() && execution_price > 0.0 {
let quantity = match side {
OrderSide::Buy => {
let cash = cash_limit.unwrap_or(f64::INFINITY);
let mut take_qty = self.round_lot_quantity(
requested_qty,
minimum_order_quantity,
order_step_size,
);
while take_qty > 0 {
let candidate_gross = execution_price * take_qty as f64;
if gross_limit.is_some_and(|limit| candidate_gross > limit + 1e-6) {
take_qty = self.decrement_order_quantity(
take_qty,
minimum_order_quantity,
order_step_size,
);
continue;
}
let candidate_cash =
candidate_gross + self.buy_commission(candidate_gross);
if candidate_cash <= cash + 1e-6 {
break;
}
take_qty = self.decrement_order_quantity(
take_qty,
minimum_order_quantity,
order_step_size,
);
}
take_qty
}
OrderSide::Sell => requested_qty,
};
if quantity > 0 {
return Some(ProjectedExecutionFill {
price: execution_price,
quantity,
next_cursor: date.and_time(self.intraday_execution_start_time())
+ Duration::seconds(1),
});
}
}
}
let start_cursor = self.projected_execution_start_cursor(date, symbol, execution_state);
let quotes = ctx.data.execution_quotes_on(date, symbol);
let mut filled_qty = 0_u32;
@@ -1028,12 +992,18 @@ impl PlatformExprStrategy {
None,
execution_state,
)
.unwrap_or(ProjectedExecutionFill {
price: self.projected_execution_price(market, OrderSide::Sell),
quantity,
next_cursor: date.and_time(self.intraday_execution_start_time())
+ Duration::seconds(1),
});
.or_else(|| {
if ctx.data.execution_quotes_on(date, symbol).is_empty() {
None
} else {
Some(ProjectedExecutionFill {
price: self.projected_execution_price(market, OrderSide::Sell),
quantity,
next_cursor: date.and_time(self.intraday_execution_start_time())
+ Duration::seconds(1),
})
}
})?;
let gross_amount = fill.price * fill.quantity as f64;
let net_cash = gross_amount - self.sell_cost(date, gross_amount);
projected
@@ -1082,9 +1052,14 @@ impl PlatformExprStrategy {
);
let execution_price = self.projected_execution_price(market, OrderSide::Buy);
let mut quantity = snapshot_requested_qty;
let gross_limit = if self.config.strict_value_budget {
order_value
} else {
order_value + 400.0
};
while quantity > 0 {
let gross_amount = execution_price * quantity as f64;
if gross_amount <= order_value + 400.0
if gross_amount <= gross_limit
&& gross_amount + self.buy_commission(gross_amount) <= projected.cash() + 1e-6
{
break;
@@ -1107,15 +1082,24 @@ impl PlatformExprStrategy {
order_step_size,
false,
Some(projected.cash()),
Some(order_value + 400.0),
Some(gross_limit),
execution_state,
)
.unwrap_or(ProjectedExecutionFill {
price: execution_price,
quantity,
next_cursor: date.and_time(self.intraday_execution_start_time())
+ Duration::seconds(1),
.or_else(|| {
if ctx.data.execution_quotes_on(date, symbol).is_empty() {
None
} else {
Some(ProjectedExecutionFill {
price: execution_price,
quantity,
next_cursor: date.and_time(self.intraday_execution_start_time())
+ Duration::seconds(1),
})
}
});
let Some(fill) = fill else {
return 0;
};
let gross_amount = fill.price * fill.quantity as f64;
let cash_out = gross_amount + self.buy_commission(gross_amount);
if cash_out > projected.cash() + 1e-6 {
@@ -1177,46 +1161,56 @@ impl PlatformExprStrategy {
let benchmark_close = benchmark.close;
let benchmark_ma_short = ctx
.data
.market_decision_close_moving_average(
date,
&self.config.signal_symbol,
self.config.benchmark_short_ma_days,
)
.ok_or_else(|| {
BacktestError::Execution(format!(
"insufficient benchmark short MA history for {} on {}",
self.config.signal_symbol, date
))
})?;
.benchmark_decision_moving_average(date, self.config.benchmark_short_ma_days)
.or_else(|| {
ctx.data
.benchmark_moving_average(date, self.config.benchmark_short_ma_days)
})
.unwrap_or(benchmark_close);
let benchmark_ma_long = ctx
.data
.market_decision_close_moving_average(
date,
&self.config.signal_symbol,
self.config.benchmark_long_ma_days,
)
.ok_or_else(|| {
BacktestError::Execution(format!(
"insufficient benchmark long MA history for {} on {}",
self.config.signal_symbol, date
))
})?;
.benchmark_decision_moving_average(date, self.config.benchmark_long_ma_days)
.or_else(|| {
ctx.data
.benchmark_moving_average(date, self.config.benchmark_long_ma_days)
})
.unwrap_or(benchmark_ma_short);
let benchmark_ma5 = ctx
.data
.market_decision_close_moving_average(date, &self.config.signal_symbol, 5)
.benchmark_decision_moving_average(date, 5)
.or_else(|| ctx.data.benchmark_moving_average(date, 5))
.unwrap_or(benchmark_ma_short);
let benchmark_ma10 = ctx
.data
.market_decision_close_moving_average(date, &self.config.signal_symbol, 10)
.benchmark_decision_moving_average(date, 10)
.or_else(|| ctx.data.benchmark_moving_average(date, 10))
.unwrap_or(benchmark_ma_long);
let benchmark_ma20 = ctx
.data
.market_decision_close_moving_average(date, &self.config.signal_symbol, 20)
.benchmark_decision_moving_average(date, 20)
.or_else(|| ctx.data.benchmark_moving_average(date, 20))
.unwrap_or(benchmark_ma10);
let benchmark_ma30 = ctx
.data
.market_decision_close_moving_average(date, &self.config.signal_symbol, 30)
.benchmark_decision_moving_average(date, 30)
.or_else(|| ctx.data.benchmark_moving_average(date, 30))
.unwrap_or(benchmark_ma20);
let signal_ma5 = ctx
.data
.market_decision_close_moving_average(date, &self.config.signal_symbol, 5)
.unwrap_or(benchmark_ma5);
let signal_ma10 = ctx
.data
.market_decision_close_moving_average(date, &self.config.signal_symbol, 10)
.unwrap_or(benchmark_ma10);
let signal_ma20 = ctx
.data
.market_decision_close_moving_average(date, &self.config.signal_symbol, 20)
.unwrap_or(benchmark_ma20);
let signal_ma30 = ctx
.data
.market_decision_close_moving_average(date, &self.config.signal_symbol, 30)
.unwrap_or(benchmark_ma30);
let account = ctx.account();
let cash = account.cash;
let market_value = account.market_value;
@@ -1241,10 +1235,10 @@ impl PlatformExprStrategy {
benchmark_ma10,
benchmark_ma20,
benchmark_ma30,
signal_ma5: benchmark_ma5,
signal_ma10: benchmark_ma10,
signal_ma20: benchmark_ma20,
signal_ma30: benchmark_ma30,
signal_ma5,
signal_ma10,
signal_ma20,
signal_ma30,
cash,
available_cash: account.available_cash,
frozen_cash: account.frozen_cash,
@@ -4196,6 +4190,77 @@ impl PlatformExprStrategy {
}
}
fn selectable_universe_on(
&self,
ctx: &StrategyContext<'_>,
date: NaiveDate,
) -> Vec<EligibleUniverseSnapshot> {
let mut rows = Vec::new();
for factor in ctx.data.factor_snapshots_on(date) {
if factor.market_cap_bn <= 0.0 || !factor.market_cap_bn.is_finite() {
continue;
}
if ctx.has_dynamic_universe() && !ctx.dynamic_universe_contains(&factor.symbol) {
continue;
}
let Some(candidate) = ctx.data.candidate(date, &factor.symbol) else {
continue;
};
let Some(market) = ctx.data.market(date, &factor.symbol) else {
continue;
};
if market.paused {
continue;
}
if !self.stock_passes_universe_exclude(
candidate,
market,
self.special_name(ctx, &factor.symbol),
) {
continue;
}
rows.push(EligibleUniverseSnapshot {
symbol: factor.symbol.clone(),
market_cap_bn: factor.market_cap_bn,
free_float_cap_bn: factor.free_float_cap_bn,
});
}
rows.sort_by(|left, right| {
left.market_cap_bn
.partial_cmp(&right.market_cap_bn)
.unwrap_or(std::cmp::Ordering::Equal)
.then_with(|| left.symbol.cmp(&right.symbol))
});
rows
}
fn stock_passes_universe_exclude(
&self,
candidate: &crate::data::CandidateEligibility,
market: &DailyMarketSnapshot,
has_special_name: bool,
) -> bool {
let excludes = &self.config.universe_exclude;
if excludes.iter().any(|item| item == "paused") && (market.paused || candidate.is_paused) {
return false;
}
if excludes.iter().any(|item| item == "st") && (candidate.is_st || has_special_name) {
return false;
}
if excludes.iter().any(|item| item == "kcb") && candidate.is_kcb {
return false;
}
if excludes.iter().any(|item| item == "new_listing") && candidate.is_new_listing {
return false;
}
if excludes.iter().any(|item| item == "one_yuan")
&& (candidate.is_one_yuan || market.day_open <= 1.0)
{
return false;
}
candidate.allow_buy && candidate.allow_sell
}
fn stock_numeric_field_value(
&self,
candidate: &EligibleUniverseSnapshot,
@@ -4359,7 +4424,7 @@ impl PlatformExprStrategy {
band_high: f64,
limit: usize,
) -> Result<(Vec<String>, Vec<String>), BacktestError> {
let universe = ctx.eligible_universe_on(date);
let universe = self.selectable_universe_on(ctx, date);
let mut diagnostics = Vec::new();
let mut candidates = Vec::new();
for candidate in universe {
@@ -4631,6 +4696,8 @@ impl Strategy for PlatformExprStrategy {
} else {
Vec::new()
};
let empty_rebalance_retry =
self.config.retry_empty_rebalance && ctx.portfolio.positions().is_empty();
let periodic_rebalance = if self.config.rotation_enabled {
if let Some(schedule) = &self.config.rebalance_schedule {
schedule.matches(
@@ -4638,9 +4705,9 @@ impl Strategy for PlatformExprStrategy {
execution_date,
ScheduleStage::OnDay,
default_stage_time(ScheduleStage::OnDay),
)
) || empty_rebalance_retry
} else {
ctx.decision_index % self.config.refresh_rate == 0
ctx.decision_index % self.config.refresh_rate == 0 || empty_rebalance_retry
}
} else {
false
@@ -4759,7 +4826,7 @@ impl Strategy for PlatformExprStrategy {
}
let fixed_buy_cash = projected.cash() * trading_ratio / selection_limit as f64;
for symbol in &stock_list {
for symbol in stock_list.iter().take(selection_limit) {
if projected.positions().len() >= selection_limit {
break;
}
@@ -4798,6 +4865,52 @@ impl Strategy for PlatformExprStrategy {
);
}
}
if self.config.daily_top_up_enabled
&& self.config.rotation_enabled
&& !periodic_rebalance
&& !ctx.portfolio.positions().is_empty()
&& projected.positions().len() < selection_limit
{
let fixed_buy_cash = projected.total_value() * trading_ratio / selection_limit as f64;
let available_buy_cash = fixed_buy_cash.min(projected.cash());
if available_buy_cash >= fixed_buy_cash * 0.5 {
for symbol in &stock_list {
if projected.positions().contains_key(symbol) {
continue;
}
let decision_stock = self.stock_state(ctx, decision_date, symbol)?;
let execution_stock = self.stock_state(ctx, execution_date, symbol)?;
if self
.buy_rejection_reason(ctx, execution_date, symbol, &execution_stock)?
.is_some()
{
continue;
}
if !self.stock_passes_expr(ctx, &day, &decision_stock)? {
continue;
}
let buy_cash =
available_buy_cash * self.buy_scale(ctx, &day, &decision_stock)?;
if buy_cash <= 0.0 {
continue;
}
order_intents.push(OrderIntent::Value {
symbol: symbol.clone(),
value: buy_cash,
reason: "daily_top_up_buy".to_string(),
});
self.project_order_value(
ctx,
&mut projected,
execution_date,
symbol,
buy_cash,
&mut projected_execution_state,
);
break;
}
}
}
if !explicit_action_intents.is_empty() {
order_intents.extend(explicit_action_intents);
@@ -5803,6 +5916,152 @@ mod tests {
);
}
#[test]
fn platform_strategy_honors_configured_universe_excludes_for_new_listings() {
let date = d(2025, 2, 3);
let symbols = ["301001.SZ", "000001.SZ"];
let data = DataSet::from_components(
symbols
.iter()
.map(|symbol| Instrument {
symbol: (*symbol).to_string(),
name: (*symbol).to_string(),
board: "SZ".to_string(),
round_lot: 100,
listed_at: Some(d(2025, 1, 1)),
delisted_at: None,
status: "active".to_string(),
})
.collect(),
symbols
.iter()
.map(|symbol| DailyMarketSnapshot {
date,
symbol: (*symbol).to_string(),
timestamp: Some("2025-02-03 09:33:00".to_string()),
day_open: 10.0,
open: 10.0,
high: 10.5,
low: 9.8,
close: 10.0,
last_price: 10.0,
bid1: 9.99,
ask1: 10.01,
prev_close: 9.9,
volume: 1_000_000,
tick_volume: 10_000,
bid1_volume: 2_000,
ask1_volume: 2_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 11.0,
lower_limit: 9.0,
price_tick: 0.01,
})
.collect(),
vec![
DailyFactorSnapshot {
date,
symbol: "301001.SZ".to_string(),
market_cap_bn: 8.0,
free_float_cap_bn: 7.0,
pe_ttm: 8.0,
turnover_ratio: Some(1.0),
effective_turnover_ratio: Some(1.0),
extra_factors: BTreeMap::new(),
},
DailyFactorSnapshot {
date,
symbol: "000001.SZ".to_string(),
market_cap_bn: 12.0,
free_float_cap_bn: 10.0,
pe_ttm: 8.0,
turnover_ratio: Some(1.0),
effective_turnover_ratio: Some(1.0),
extra_factors: BTreeMap::new(),
},
],
vec![
CandidateEligibility {
date,
symbol: "301001.SZ".to_string(),
is_st: false,
is_new_listing: true,
is_paused: false,
allow_buy: true,
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
},
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: "000852.SH".to_string(),
open: 1000.0,
close: 1002.0,
prev_close: 998.0,
volume: 1_000_000,
}],
)
.expect("dataset");
let portfolio = PortfolioState::new(1_000_000.0);
let subscriptions = BTreeSet::new();
let ctx = StrategyContext {
execution_date: date,
decision_date: date,
decision_index: 0,
data: &data,
portfolio: &portfolio,
futures_account: None,
open_orders: &[],
dynamic_universe: None,
subscriptions: &subscriptions,
process_events: &[],
active_process_event: None,
active_datetime: None,
order_events: &[],
fills: &[],
};
let mut cfg = PlatformExprStrategyConfig::microcap_rotation();
cfg.signal_symbol = "000001.SZ".to_string();
cfg.refresh_rate = 1;
cfg.max_positions = 1;
cfg.benchmark_short_ma_days = 1;
cfg.benchmark_long_ma_days = 1;
cfg.stock_short_ma_days = 1;
cfg.stock_mid_ma_days = 1;
cfg.stock_long_ma_days = 1;
cfg.universe_exclude = vec![
"paused".to_string(),
"st".to_string(),
"kcb".to_string(),
"one_yuan".to_string(),
];
cfg.market_cap_lower_expr = "0".to_string();
cfg.market_cap_upper_expr = "100".to_string();
cfg.selection_limit_expr = "1".to_string();
cfg.stock_filter_expr = "true".to_string();
let mut strategy = PlatformExprStrategy::new(cfg);
let decision = strategy.on_day(&ctx).expect("platform decision");
assert!(decision.order_intents.iter().any(|intent| matches!(
intent,
crate::strategy::OrderIntent::Value { symbol, .. } if symbol == "301001.SZ"
)));
}
#[test]
fn platform_helpers_support_generic_rolling_stats_and_normalized_factors() {
let dates = [d(2025, 1, 2), d(2025, 1, 3), d(2025, 1, 6)];
@@ -6074,6 +6333,139 @@ mod tests {
assert_eq!(decision.order_intents.len(), 1);
}
#[test]
fn platform_daily_top_up_keeps_selection_limited_to_target_count() {
let date = d(2025, 2, 3);
let symbols = ["000001.SZ", "000002.SZ", "000003.SZ"];
let data = DataSet::from_components(
symbols
.iter()
.map(|symbol| Instrument {
symbol: (*symbol).to_string(),
name: (*symbol).to_string(),
board: "SZ".to_string(),
round_lot: 100,
listed_at: Some(d(2020, 1, 1)),
delisted_at: None,
status: "active".to_string(),
})
.collect(),
symbols
.iter()
.map(|symbol| DailyMarketSnapshot {
date,
symbol: (*symbol).to_string(),
timestamp: Some("2025-02-03 09:33:00".to_string()),
day_open: 10.0,
open: 10.0,
high: 10.5,
low: 9.8,
close: 10.0,
last_price: 10.0,
bid1: 9.99,
ask1: 10.01,
prev_close: 9.9,
volume: 1_000_000,
tick_volume: 10_000,
bid1_volume: 2_000,
ask1_volume: 2_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 11.0,
lower_limit: 9.0,
price_tick: 0.01,
})
.collect(),
symbols
.iter()
.enumerate()
.map(|(index, symbol)| DailyFactorSnapshot {
date,
symbol: (*symbol).to_string(),
market_cap_bn: 10.0 + index as f64,
free_float_cap_bn: 10.0 + index as f64,
pe_ttm: 8.0,
turnover_ratio: Some(1.0),
effective_turnover_ratio: Some(1.0),
extra_factors: BTreeMap::new(),
})
.collect(),
symbols
.iter()
.map(|symbol| CandidateEligibility {
date,
symbol: (*symbol).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,
})
.collect(),
vec![BenchmarkSnapshot {
date,
benchmark: "000852.SH".to_string(),
open: 1000.0,
close: 1002.0,
prev_close: 998.0,
volume: 1_000_000,
}],
)
.expect("dataset");
let portfolio = PortfolioState::new(30_000.0);
let subscriptions = BTreeSet::new();
let ctx = StrategyContext {
execution_date: date,
decision_date: date,
decision_index: 1,
data: &data,
portfolio: &portfolio,
futures_account: None,
open_orders: &[],
dynamic_universe: None,
subscriptions: &subscriptions,
process_events: &[],
active_process_event: None,
active_datetime: None,
order_events: &[],
fills: &[],
};
let mut cfg = PlatformExprStrategyConfig::microcap_rotation();
cfg.signal_symbol = "000001.SZ".to_string();
cfg.refresh_rate = 99;
cfg.max_positions = 2;
cfg.benchmark_short_ma_days = 1;
cfg.benchmark_long_ma_days = 1;
cfg.market_cap_lower_expr = "0".to_string();
cfg.market_cap_upper_expr = "100".to_string();
cfg.selection_limit_expr = "2".to_string();
cfg.stock_filter_expr = "close > 0".to_string();
cfg.daily_top_up_enabled = true;
cfg.retry_empty_rebalance = true;
let mut strategy = PlatformExprStrategy::new(cfg);
let decision = strategy.on_day(&ctx).expect("platform decision");
assert!(
decision
.diagnostics
.iter()
.any(|item| item.contains("selected=2")),
"{:?}",
decision.diagnostics
);
assert!(
!decision
.diagnostics
.iter()
.any(|item| item.contains("selected=3")),
"{:?}",
decision.diagnostics
);
}
#[test]
fn platform_strategy_emits_target_shares_explicit_action() {
let date = d(2025, 2, 3);
@@ -7509,4 +7901,133 @@ mod tests {
let decision = strategy.on_day(&ctx).expect("platform decision");
assert_eq!(decision.order_intents.len(), 1);
}
#[test]
fn ast_cache_reuses_compiled_ast_across_invocations() {
let date = d(2025, 2, 3);
let data = DataSet::from_components(
vec![Instrument {
symbol: "000001.SZ".to_string(),
name: "Ping An Bank".to_string(),
board: "SZSE".to_string(),
round_lot: 100,
listed_at: Some(d(2010, 1, 1)),
delisted_at: None,
status: "active".to_string(),
}],
vec![DailyMarketSnapshot {
date,
symbol: "000001.SZ".to_string(),
timestamp: Some("10:18:00".to_string()),
day_open: 10.0,
open: 10.0,
high: 10.2,
low: 9.9,
close: 10.1,
last_price: 10.05,
bid1: 10.04,
ask1: 10.05,
prev_close: 9.95,
volume: 1_000_000,
tick_volume: 5_000,
bid1_volume: 1_000,
ask1_volume: 1_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 10.94,
lower_limit: 8.96,
price_tick: 0.01,
}],
vec![DailyFactorSnapshot {
date,
symbol: "000001.SZ".to_string(),
market_cap_bn: 12.0,
free_float_cap_bn: 10.0,
pe_ttm: 8.0,
turnover_ratio: Some(22.0),
effective_turnover_ratio: Some(18.0),
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: "000852.SH".to_string(),
open: 1000.0,
close: 1002.0,
prev_close: 998.0,
volume: 1_000_000,
}],
)
.expect("dataset");
let portfolio = PortfolioState::new(1_000_000.0);
let subscriptions = BTreeSet::new();
let ctx = StrategyContext {
execution_date: date,
decision_date: date,
decision_index: 0,
data: &data,
portfolio: &portfolio,
futures_account: None,
open_orders: &[],
dynamic_universe: None,
subscriptions: &subscriptions,
process_events: &[],
active_process_event: None,
active_datetime: None,
order_events: &[],
fills: &[],
};
let mut cfg = PlatformExprStrategyConfig::microcap_rotation();
cfg.signal_symbol = "000001.SZ".to_string();
cfg.rotation_enabled = false;
cfg.benchmark_short_ma_days = 1;
cfg.benchmark_long_ma_days = 1;
cfg.explicit_actions = vec![PlatformTradeAction::Order {
kind: PlatformExplicitOrderKind::Value,
symbol: "000001.SZ".to_string(),
amount_expr: "cash * 0.1".to_string(),
limit_price_expr: None,
start_time_expr: None,
end_time_expr: None,
when_expr: Some("allow_buy".to_string()),
reason: "ast_cache_reuse".to_string(),
}];
let mut strategy = PlatformExprStrategy::new(cfg);
// 第一次调用:所有表达式 cache miss。
let _ = strategy.on_day(&ctx).expect("first decision");
let misses_after_first = strategy.ast_cache_misses();
let hits_after_first = strategy.ast_cache_hits();
assert!(
misses_after_first > 0,
"first run should populate cache, misses={}",
misses_after_first
);
// 第二次调用相同表达式cache hit 数应当 > 第一次。
let _ = strategy.on_day(&ctx).expect("second decision");
let misses_after_second = strategy.ast_cache_misses();
let hits_after_second = strategy.ast_cache_hits();
assert!(
hits_after_second > hits_after_first,
"second run should reuse cached AST, hits {} -> {}",
hits_after_first,
hits_after_second
);
// 缓存条目数不应该再增长(相同 scriptmisses 不再增加。
assert_eq!(
misses_after_second, misses_after_first,
"second run should not introduce new misses for same scripts"
);
}
}

View File

@@ -318,8 +318,7 @@ mod tests {
#[test]
fn runtime_schema_includes_known_identifiers() {
let names: std::collections::HashSet<&str> =
RESERVED_SCOPE_NAMES.iter().copied().collect();
let names: std::collections::HashSet<&str> = RESERVED_SCOPE_NAMES.iter().copied().collect();
for required in [
"signal_close",
"benchmark_close",
@@ -328,7 +327,10 @@ mod tests {
"current_price",
"stock_ma_short",
] {
assert!(names.contains(required), "missing reserved name: {required}");
assert!(
names.contains(required),
"missing reserved name: {required}"
);
}
let helpers: std::collections::HashSet<&str> =

View File

@@ -20,6 +20,8 @@ pub struct StrategyRuntimeSpec {
#[serde(default)]
pub benchmark: Option<StrategyBenchmarkSpec>,
#[serde(default)]
pub universe: Option<StrategyUniverseSpec>,
#[serde(default)]
pub signal_symbol: Option<String>,
#[serde(default)]
pub execution: Option<StrategyExecutionSpec>,
@@ -40,6 +42,13 @@ pub struct StrategyBenchmarkSpec {
pub fallback_instrument_id: Option<String>,
}
#[derive(Debug, Clone, Default, Deserialize, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct StrategyUniverseSpec {
#[serde(default)]
pub exclude: Vec<String>,
}
#[derive(Debug, Clone, Default, Deserialize, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct StrategyExecutionSpec {
@@ -49,6 +58,8 @@ pub struct StrategyExecutionSpec {
pub slippage_model: Option<String>,
#[serde(default)]
pub slippage_value: Option<f64>,
#[serde(default)]
pub strict_value_budget: Option<bool>,
}
#[derive(Debug, Clone, Default, Deserialize, Serialize)]
@@ -83,6 +94,8 @@ pub struct StrategyEngineConfig {
#[serde(default)]
pub slippage_value: Option<f64>,
#[serde(default)]
pub strict_value_budget: Option<bool>,
#[serde(default)]
pub dividend_reinvestment: Option<bool>,
#[serde(default)]
pub rebalance_schedule: Option<StrategyExpressionScheduleConfig>,
@@ -224,6 +237,10 @@ pub struct StrategyExpressionTradingConfig {
#[serde(default)]
pub rotation_enabled: Option<bool>,
#[serde(default)]
pub daily_top_up: Option<bool>,
#[serde(default)]
pub retry_empty_rebalance: Option<bool>,
#[serde(default)]
pub subscription_guard_required: Option<bool>,
#[serde(default)]
pub actions: Vec<StrategyExpressionActionConfig>,
@@ -416,6 +433,14 @@ pub fn platform_expr_config_from_spec(
cfg.signal_symbol = spec_signal_symbol.clone();
}
}
if let Some(universe) = spec.universe.as_ref() {
cfg.universe_exclude = universe
.exclude
.iter()
.map(|item| item.trim().to_ascii_lowercase())
.filter(|item| !item.is_empty())
.collect();
}
let mut prelude_parts = Vec::new();
if let Some(runtime_expr) = spec.runtime_expressions.as_ref()
@@ -551,6 +576,24 @@ pub fn platform_expr_config_from_spec(
if let Some(enabled) = trading.rotation_enabled {
cfg.rotation_enabled = enabled;
}
if let Some(enabled) = trading.daily_top_up {
cfg.daily_top_up_enabled = enabled;
}
if let Some(enabled) = trading.retry_empty_rebalance {
cfg.retry_empty_rebalance = enabled;
}
if let Some(enabled) = spec
.engine_config
.as_ref()
.and_then(|engine| engine.strict_value_budget)
.or_else(|| {
spec.execution
.as_ref()
.and_then(|execution| execution.strict_value_budget)
})
{
cfg.strict_value_budget = enabled;
}
if let Some(required) = trading.subscription_guard_required {
cfg.subscription_guard_required = required;
}
@@ -593,8 +636,8 @@ pub fn platform_expr_config_from_spec(
if let Some(stock_ma_filter) = engine.stock_ma_filter.as_ref() {
let ratio = stock_ma_filter.rsi_rate.unwrap_or(1.0001);
cfg.stock_filter_expr = format!(
"stock_ma_short > stock_ma_mid * {} && stock_ma_mid > stock_ma_long",
ratio
"stock_ma_short > stock_ma_mid * {} && stock_ma_mid * {} > stock_ma_long",
ratio, ratio
);
}
if let Some(index_throttle) = engine.index_throttle.as_ref() {
@@ -998,6 +1041,7 @@ mod tests {
"strategyId": "runtime_spec_test",
"signalSymbol": "000852.SH",
"benchmark": { "instrumentId": "000852.SH" },
"universe": { "exclude": ["paused", "st", "kcb", "one_yuan"] },
"runtimeExpressions": {
"prelude": "let stocknum = 8;",
"selection": {
@@ -1008,6 +1052,8 @@ mod tests {
},
"trading": {
"rotationEnabled": false,
"dailyTopUp": true,
"retryEmptyRebalance": true,
"stage": "open_auction",
"actions": [
{
@@ -1026,7 +1072,10 @@ mod tests {
assert_eq!(cfg.strategy_name, "runtime_spec_test");
assert_eq!(cfg.signal_symbol, "000852.SH");
assert_eq!(cfg.selection_limit_expr, "stocknum");
assert_eq!(cfg.universe_exclude, ["paused", "st", "kcb", "one_yuan"]);
assert!(!cfg.rotation_enabled);
assert!(cfg.daily_top_up_enabled);
assert!(cfg.retry_empty_rebalance);
assert_eq!(cfg.explicit_actions.len(), 1);
assert_eq!(
cfg.explicit_action_stage,

View File

@@ -1547,6 +1547,29 @@ impl OmniMicroCapConfig {
}
}
pub fn aiquant_v104() -> Self {
Self {
strategy_name: "aiquant-v1.0.4".to_string(),
refresh_rate: 120,
stocknum: 5,
xs: 3.0 / 500.0,
base_index_level: 2000.0,
base_cap_floor: 7.0,
cap_span: 25.0,
benchmark_signal_symbol: "000852.SH".to_string(),
benchmark_short_ma_days: 5,
benchmark_long_ma_days: 20,
stock_short_ma_days: 5,
stock_mid_ma_days: 10,
stock_long_ma_days: 30,
rsi_rate: 1.0001,
trade_rate: 0.5,
stop_loss_ratio: 0.92,
take_profit_ratio: 1.16,
skip_month_day_ranges: Vec::new(),
}
}
fn in_skip_window(&self, date: NaiveDate) -> bool {
let month = date.month();
let day = date.day();
@@ -2175,7 +2198,46 @@ impl OmniMicroCapStrategy {
return false;
};
ma_short > ma_mid * self.config.rsi_rate && ma_mid > ma_long
// MA filter: ma_short > ma_mid * rsi_rate && ma_mid * rsi_rate > ma_long
let ma_pass = ma_short > ma_mid * self.config.rsi_rate && ma_mid * self.config.rsi_rate > ma_long;
// Debug logging for first few stocks
static DEBUG_COUNT: std::sync::atomic::AtomicUsize = std::sync::atomic::AtomicUsize::new(0);
let count = DEBUG_COUNT.fetch_add(1, std::sync::atomic::Ordering::Relaxed);
if count < 10 {
eprintln!("[DEBUG MA] {} date={} ma5={:.4} ma10={:.4} ma30={:.4} rsi_rate={:.6} pass={} (ma5 > ma10*rsi={:.4}? {} && ma10*rsi > ma30={:.4}? {})",
symbol, date, ma_short, ma_mid, ma_long, self.config.rsi_rate, ma_pass,
ma_mid * self.config.rsi_rate, ma_short > ma_mid * self.config.rsi_rate,
ma_long, ma_mid * self.config.rsi_rate > ma_long);
}
if !ma_pass {
return false;
}
// Volume filter: V5 < V60 (applied for omni_microcap strategies)
if self.config.strategy_name.contains("aiquant") || self.config.strategy_name.contains("AiQuant") || self.config.strategy_name.contains("omni") {
let Some(volume_ma5) = ctx.data.market_decision_volume_moving_average(
date,
symbol,
5,
) else {
return false;
};
let Some(volume_ma60) = ctx.data.market_decision_volume_moving_average(
date,
symbol,
60,
) else {
return false;
};
if volume_ma5 >= volume_ma60 {
return false;
}
}
true
}
fn special_name(&self, ctx: &StrategyContext<'_>, symbol: &str) -> bool {

View File

@@ -10,7 +10,7 @@ use std::collections::{BTreeMap, BTreeSet};
#[test]
fn broker_executes_explicit_order_value_buy() {
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();
let data = DataSet::from_components(
let data = DataSet::from_components_with_actions_and_quotes(
vec![Instrument {
symbol: "000002.SZ".to_string(),
name: "Test".to_string(),
@@ -72,6 +72,20 @@ fn broker_executes_explicit_order_value_buy() {
prev_close: 99.0,
volume: 1_000_000,
}],
Vec::new(),
vec![IntradayExecutionQuote {
date,
symbol: "000002.SZ".to_string(),
timestamp: date.and_hms_opt(10, 18, 3).unwrap(),
last_price: 10.0,
bid1: 9.99,
ask1: 10.01,
bid1_volume: 1,
ask1_volume: 1,
volume_delta: 1,
amount_delta: 0.0,
trading_phase: Some("continuous".to_string()),
}],
)
.expect("dataset");
let mut portfolio = PortfolioState::new(1_000_000.0);
@@ -111,7 +125,7 @@ fn broker_executes_explicit_order_value_buy() {
#[test]
fn broker_executes_order_shares_and_order_lots() {
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();
let data = DataSet::from_components(
let data = DataSet::from_components_with_actions_and_quotes(
vec![Instrument {
symbol: "000002.SZ".to_string(),
name: "Test".to_string(),
@@ -173,6 +187,20 @@ fn broker_executes_order_shares_and_order_lots() {
prev_close: 99.0,
volume: 1_000_000,
}],
Vec::new(),
vec![IntradayExecutionQuote {
date,
symbol: "000002.SZ".to_string(),
timestamp: date.and_hms_opt(10, 18, 3).unwrap(),
last_price: 10.0,
bid1: 9.99,
ask1: 10.01,
bid1_volume: 1,
ask1_volume: 1,
volume_delta: 1,
amount_delta: 0.0,
trading_phase: Some("continuous".to_string()),
}],
)
.expect("dataset");
let mut portfolio = PortfolioState::new(1_000_000.0);
@@ -1192,6 +1220,120 @@ fn broker_applies_price_ratio_slippage_on_snapshot_fills() {
#[test]
fn broker_applies_tick_size_slippage_on_intraday_last_fills() {
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();
let data = DataSet::from_components_with_actions_and_quotes(
vec![Instrument {
symbol: "000002.SZ".to_string(),
name: "Test".to_string(),
board: "SZ".to_string(),
round_lot: 100,
listed_at: None,
delisted_at: None,
status: "active".to_string(),
}],
vec![DailyMarketSnapshot {
date,
symbol: "000002.SZ".to_string(),
timestamp: Some("2024-01-10 10:18:00".to_string()),
day_open: 10.0,
open: 10.0,
high: 10.1,
low: 9.9,
close: 10.0,
last_price: 10.0,
bid1: 9.99,
ask1: 10.01,
prev_close: 10.0,
volume: 100_000,
tick_volume: 100_000,
bid1_volume: 80_000,
ask1_volume: 80_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: "000002.SZ".to_string(),
market_cap_bn: 50.0,
free_float_cap_bn: 45.0,
pe_ttm: 15.0,
turnover_ratio: Some(2.0),
effective_turnover_ratio: Some(1.8),
extra_factors: BTreeMap::new(),
}],
vec![CandidateEligibility {
date,
symbol: "000002.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: "000002.SZ".to_string(),
timestamp: date.and_hms_opt(10, 18, 3).unwrap(),
last_price: 10.0,
bid1: 9.99,
ask1: 10.01,
bid1_volume: 1,
ask1_volume: 1,
volume_delta: 1,
amount_delta: 0.0,
trading_phase: Some("continuous".to_string()),
}],
)
.expect("dataset");
let mut portfolio = PortfolioState::new(1_000_000.0);
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks::default(),
PriceField::Last,
)
.with_intraday_execution_start_time(chrono::NaiveTime::from_hms_opt(10, 18, 0).unwrap())
.with_slippage_model(SlippageModel::TickSize(2.0));
let report = broker
.execute(
date,
&mut portfolio,
&data,
&StrategyDecision {
rebalance: false,
target_weights: BTreeMap::new(),
exit_symbols: BTreeSet::new(),
order_intents: vec![OrderIntent::Value {
symbol: "000002.SZ".to_string(),
value: 100_000.0,
reason: "tick_slippage".to_string(),
}],
notes: Vec::new(),
diagnostics: Vec::new(),
},
)
.expect("broker execution");
assert_eq!(report.fill_events.len(), 1);
assert!((report.fill_events[0].price - 10.02).abs() < 1e-9);
}
#[test]
fn broker_rejects_intraday_last_order_without_execution_quotes() {
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();
let data = DataSet::from_components(
vec![Instrument {
@@ -1263,8 +1405,7 @@ fn broker_applies_tick_size_slippage_on_intraday_last_fills() {
ChinaEquityRuleHooks::default(),
PriceField::Last,
)
.with_intraday_execution_start_time(chrono::NaiveTime::from_hms_opt(10, 18, 0).unwrap())
.with_slippage_model(SlippageModel::TickSize(2.0));
.with_intraday_execution_start_time(chrono::NaiveTime::from_hms_opt(10, 18, 0).unwrap());
let report = broker
.execute(
@@ -1278,7 +1419,7 @@ fn broker_applies_tick_size_slippage_on_intraday_last_fills() {
order_intents: vec![OrderIntent::Value {
symbol: "000002.SZ".to_string(),
value: 100_000.0,
reason: "tick_slippage".to_string(),
reason: "missing_tick_quotes".to_string(),
}],
notes: Vec::new(),
diagnostics: Vec::new(),
@@ -1286,8 +1427,15 @@ fn broker_applies_tick_size_slippage_on_intraday_last_fills() {
)
.expect("broker execution");
assert_eq!(report.fill_events.len(), 1);
assert!((report.fill_events[0].price - 10.02).abs() < 1e-9);
assert!(report.fill_events.is_empty());
assert_eq!(report.order_events.len(), 1);
assert_eq!(report.order_events[0].status, OrderStatus::Canceled);
assert!(
report.order_events[0]
.reason
.contains("no execution quotes after start")
);
assert!(portfolio.position("000002.SZ").is_none());
}
#[test]