Compare commits

..

83 Commits

Author SHA1 Message Date
boris c83526a6a4 懒加载日线序列缓存降低回测内存 2026-06-21 03:57:07 +08:00
boris 9bd19aa042 瘦身回测数据集按日索引内存 2026-06-21 03:48:22 +08:00
boris 2f62d82420 优化回测数据集内存并修复rolling依赖识别 2026-06-21 03:31:45 +08:00
boris 7f809fd875 修复涨停持仓普通调仓提前卖出 2026-06-21 02:53:38 +08:00
boris 8495bf6ad8 允许弱市涨停持仓部分减仓 2026-06-21 02:19:59 +08:00
boris 9d41971d3f 共享日线行情索引存储 2026-06-21 02:11:44 +08:00
boris c409d500b3 减少市场序列构建克隆 2026-06-21 02:06:28 +08:00
boris d0ab59669f 复用已预载执行报价 2026-06-21 01:59:51 +08:00
boris d264e39285 懒加载策略额外因子状态 2026-06-21 01:42:06 +08:00
boris 5b34f3b55b 按选股表达式跳过无关盘中quote 2026-06-21 01:37:04 +08:00
boris 192ac3f843 缓存调度执行quote查询 2026-06-21 01:29:15 +08:00
boris 581d4e32d0 复用选股候选股票状态 2026-06-21 01:20:57 +08:00
boris bb87d69224 按需保留股票额外因子状态 2026-06-21 01:13:22 +08:00
boris 0714d1f77b 移除股票rolling临时哈希开销 2026-06-21 01:06:05 +08:00
boris 78af8c3219 按表达式裁剪股票rolling状态 2026-06-21 01:01:23 +08:00
boris fd27429713 去重股票状态rolling计算 2026-06-21 00:54:33 +08:00
boris a270e368c8 缓存日内股票表达式状态 2026-06-21 00:47:42 +08:00
boris a368fd5d7f 短路预计算rolling因子读取 2026-06-21 00:37:51 +08:00
boris 0f982887a3 缓存平台策略表达式元数据 2026-06-21 00:20:56 +08:00
boris beebc5fa58 修复候选池风险等级二进制缓存 2026-06-20 23:59:44 +08:00
boris f8bc0679ee 修正FiRisk强平触发来源 2026-06-20 23:07:59 +08:00
boris cdca7984ed 修正FiRisk强平执行时间口径 2026-06-20 22:46:43 +08:00
boris 816fc48077 修复FiRisk禁持清仓判定 2026-06-20 19:51:38 +08:00
boris 144483be4c 修复买入禁入误触发强平 2026-06-20 19:24:31 +08:00
boris eb4e77f8c5 补齐AiQuant风控清仓优先级 2026-06-20 18:10:00 +08:00
boris 6ddbdac9cd 修复涨停持仓弱市缩仓保护 2026-06-20 18:01:59 +08:00
boris ecb9a1cfaf 修复AiQuant模式买入禁用过滤 2026-06-20 17:53:37 +08:00
boris 61fc93abf1 Revert "修复AiQuant部分成交补仓预算"
This reverts commit 7ce28e6d0f.
2026-06-20 17:28:55 +08:00
boris 7ce28e6d0f 修复AiQuant部分成交补仓预算 2026-06-20 17:24:30 +08:00
boris 1a4936d250 修复AiQuant调仓现金可用语义 2026-06-20 17:15:30 +08:00
boris 9692557746 修复停运窗口涨停延迟卖出 2026-06-20 16:20:09 +08:00
boris 8df6bfd19c 修正弱市减仓涨停待开板处理 2026-06-20 14:07:13 +08:00
boris 5e66e9799c 优化回测撮合与涨跌停约束 2026-06-20 07:59:22 +08:00
boris 5ecb0e7986 修复策略表达式卖出投影槽位释放 2026-06-19 18:33:07 +08:00
boris c3a5161db1 修正跌停卖出未成交仓位释放 2026-06-19 14:25:10 +08:00
boris 57aebe97ec 修正预计算市值决策口径 2026-06-19 10:20:12 +08:00
boris 651174dc57 修正平台策略市值选股日期口径 2026-06-19 09:26:22 +08:00
boris 4b6301cb37 增加日内补仓预算诊断 2026-06-19 06:03:17 +08:00
boris 1db80e1e13 修正停运窗口延迟卖出顺序 2026-06-18 20:54:59 +08:00
boris 938f4fec13 修正AiQuant止盈止损成本基准 2026-06-18 20:43:53 +08:00
boris daa505152a 修正AiQuant日内补仓预算口径 2026-06-18 20:26:34 +08:00
boris 02d4ea9ca7 优化回测数据集索引查找 2026-06-18 20:09:25 +08:00
boris 3633905459 支持策略决策前批量加载执行价 2026-06-18 17:08:36 +08:00
boris 2265a5dc67 增加执行价快照计数接口 2026-06-18 16:39:49 +08:00
boris 616d9cdce2 支持回测数据集快照组件导出 2026-06-18 16:32:41 +08:00
boris 213deb6e99 优化平台表达式选股快路径 2026-06-18 16:15:34 +08:00
boris 7ff443898c 修正弱市缩仓补买预算 2026-06-18 11:51:16 +08:00
boris d7c1674c6c 修正弱市缩仓阈值语义 2026-06-18 11:39:13 +08:00
boris 4f39ac7dfe 修复平台策略选股表达式口径 2026-06-18 11:12:12 +08:00
boris 8d24badcf2 修正持仓盈亏展示口径 2026-06-17 21:03:45 +08:00
boris 6c7f7130cf 修复平台策略金额买入预算 2026-06-17 19:35:19 +08:00
boris d8b6130428 修复平台策略执行行情投影判断 2026-06-17 19:08:19 +08:00
boris dae573e318 修复AiQuant补位买入预算口径 2026-06-17 18:21:35 +08:00
boris 674e4b0b14 修复非周期补买候选失败中断 2026-06-17 12:15:43 +08:00
boris 828b55c747 共享因子候选索引内存 2026-06-17 10:05:55 +08:00
boris 596d64280b 优化行情序列内存结构 2026-06-17 09:55:31 +08:00
boris 1683d875a0 修正平台策略延迟卖出预算口径 2026-06-17 09:04:50 +08:00
boris ed4658ccd0 修正平台策略选股和弱市调仓口径 2026-06-17 07:40:27 +08:00
boris bc39df0ee5 修复FIDC策略滑点配置解析 2026-06-17 05:31:46 +08:00
boris 70695d8c92 恢复点时刻tick加载语义 2026-06-16 15:35:54 +08:00
boris 0533e2db3a 避免已预取tick重复懒加载 2026-06-16 15:18:43 +08:00
boris 716149c06c 修正平台策略滚动因子优先级 2026-06-16 14:49:41 +08:00
boris 0628dd528a 修复止损卖出受限时的目标仓位预判 2026-06-16 10:20:55 +08:00
boris e146ad6e7d 补充涨停买入撮合约束测试 2026-06-16 09:15:13 +08:00
boris cf2c4fd179 修正AiQuant补仓预算口径 2026-06-16 08:38:19 +08:00
boris 6ba61ef80b 修正跌停止损预判调仓口径 2026-06-16 08:22:15 +08:00
boris e45f990487 修正平台目标调仓执行口径 2026-06-16 08:06:19 +08:00
boris 8e6c912a07 修正AiQuant目标市值估值口径 2026-06-16 07:49:10 +08:00
boris 9a411f2403 修正平台策略弱市调仓顺序 2026-06-16 07:23:51 +08:00
boris d2c65c91b7 修正平台策略投影撮合价口径 2026-06-16 06:22:40 +08:00
boris 5078aec840 修正AiQuant盘中组合估值口径 2026-06-16 06:04:37 +08:00
boris df949ab8ee 修正AiQuant兼容买入数量语义 2026-06-16 05:45:15 +08:00
boris 2e036783bf 修正止损前弱市补仓顺序 2026-06-16 00:29:01 +08:00
boris ff145300b4 修正执行价quote多时间加载 2026-06-16 00:05:34 +08:00
boris c2de9d8e83 修正AiQuant目标市值持仓估值 2026-06-15 20:40:31 +08:00
boris baeda3773d 修正调仓持仓报价预加载语义 2026-06-15 20:29:14 +08:00
boris 725f1845d9 修复涨跌停最终执行价约束 2026-06-15 20:04:42 +08:00
boris e0949a0eaa 统一表达式策略涨跌停触价口径 2026-06-15 19:33:40 +08:00
boris 5d2bcd8366 修正A股涨跌停严格触价规则 2026-06-15 18:50:10 +08:00
boris 5181d0e403 修正平台策略费用和表达式口径 2026-06-15 18:03:21 +08:00
boris 1c31fa80d2 修复AiQuant策略表达式回测执行语义 2026-06-15 11:16:04 +08:00
boris d3d08276ae 修正AiQuant多时间调仓语义 2026-06-14 02:37:26 +08:00
boris 80b34280c2 修正滑点成交后的持仓估值 2026-06-14 02:09:44 +08:00
15 changed files with 11079 additions and 1138 deletions
File diff suppressed because it is too large Load Diff
File diff suppressed because it is too large Load Diff
+219 -3
View File
@@ -1,6 +1,6 @@
use std::collections::{BTreeMap, BTreeSet}; use std::collections::{BTreeMap, BTreeSet};
use chrono::{Datelike, NaiveDate}; use chrono::{Datelike, Duration, NaiveDate, NaiveTime};
use serde::Serialize; use serde::Serialize;
use thiserror::Error; use thiserror::Error;
@@ -341,6 +341,8 @@ pub struct BacktestEngine<S, C, R> {
futures_cost_model: FuturesTransactionCostModel, futures_cost_model: FuturesTransactionCostModel,
futures_validation_config: FuturesValidationConfig, futures_validation_config: FuturesValidationConfig,
execution_quote_loader: Option<ExecutionQuoteLoader>, execution_quote_loader: Option<ExecutionQuoteLoader>,
execution_quote_request_cache:
BTreeSet<(NaiveDate, String, Option<NaiveTime>, Option<NaiveTime>)>,
} }
impl<S, C, R> BacktestEngine<S, C, R> { impl<S, C, R> BacktestEngine<S, C, R> {
@@ -369,6 +371,7 @@ impl<S, C, R> BacktestEngine<S, C, R> {
futures_cost_model: FuturesTransactionCostModel::default(), futures_cost_model: FuturesTransactionCostModel::default(),
futures_validation_config: FuturesValidationConfig::default(), futures_validation_config: FuturesValidationConfig::default(),
execution_quote_loader: None, execution_quote_loader: None,
execution_quote_request_cache: BTreeSet::new(),
} }
} }
@@ -523,20 +526,60 @@ where
return Ok(()); return Ok(());
} }
let start_time = start_time.or_else(|| self.broker.intraday_execution_start_time()); let caller_start_time = start_time;
let caller_end_time = end_time;
let start_time = caller_start_time.or_else(|| self.broker.intraday_execution_start_time());
let mut symbols = execution_quote_symbols_for_decision(decision, portfolio, open_orders); let mut symbols = execution_quote_symbols_for_decision(decision, portfolio, open_orders);
self.load_missing_execution_quotes(execution_date, start_time, end_time, &mut symbols)?;
if caller_start_time.is_none() && caller_end_time.is_none() {
for ((intent_start_time, intent_end_time), mut intent_symbols) in
algo_execution_quote_windows_for_decision(decision, portfolio)
{
self.load_missing_execution_quotes(
execution_date,
intent_start_time,
intent_end_time,
&mut intent_symbols,
)?;
}
}
Ok(())
}
fn load_missing_execution_quotes(
&mut self,
execution_date: NaiveDate,
start_time: Option<NaiveTime>,
end_time: Option<NaiveTime>,
symbols: &mut BTreeSet<String>,
) -> Result<(), BacktestError> {
symbols.retain(|symbol| { symbols.retain(|symbol| {
let request_key = (execution_date, symbol.clone(), start_time, end_time);
if self.execution_quote_request_cache.contains(&request_key) {
return false;
}
if start_time.is_some() && end_time.is_none() {
return !has_execution_quote_near_start_time(
&self.data,
execution_date,
symbol,
start_time.expect("checked start_time"),
);
}
!has_execution_quote_in_window(&self.data, execution_date, symbol, start_time, end_time) !has_execution_quote_in_window(&self.data, execution_date, symbol, start_time, end_time)
}); });
if symbols.is_empty() { if symbols.is_empty() {
return Ok(()); return Ok(());
} }
let requested_symbols = symbols.iter().cloned().collect::<Vec<_>>();
let request = ExecutionQuoteRequest { let request = ExecutionQuoteRequest {
date: execution_date, date: execution_date,
start_time, start_time,
end_time, end_time,
symbols, symbols: std::mem::take(symbols),
}; };
let quotes = self let quotes = self
.execution_quote_loader .execution_quote_loader
@@ -544,6 +587,72 @@ where
.expect("checked execution quote loader") .expect("checked execution quote loader")
.as_mut()(request)?; .as_mut()(request)?;
self.data.add_execution_quotes(quotes); self.data.add_execution_quotes(quotes);
for symbol in requested_symbols {
self.execution_quote_request_cache.insert((
execution_date,
symbol,
start_time,
end_time,
));
}
Ok(())
}
fn ensure_execution_quotes_for_portfolio_times(
&mut self,
execution_date: NaiveDate,
portfolio: &PortfolioState,
quote_times: &[NaiveTime],
) -> Result<(), BacktestError> {
if self.execution_quote_loader.is_none() || quote_times.is_empty() {
return Ok(());
}
let base_symbols = portfolio
.positions()
.keys()
.cloned()
.collect::<BTreeSet<_>>();
if base_symbols.is_empty() {
return Ok(());
}
for quote_time in quote_times {
let mut symbols = base_symbols.clone();
self.load_missing_execution_quotes(
execution_date,
Some(*quote_time),
None,
&mut symbols,
)?;
}
Ok(())
}
fn ensure_execution_quotes_for_symbols_at_times(
&mut self,
execution_date: NaiveDate,
symbols: &BTreeSet<String>,
quote_times: &[NaiveTime],
) -> Result<(), BacktestError> {
if self.execution_quote_loader.is_none() || quote_times.is_empty() || symbols.is_empty() {
return Ok(());
}
let base_symbols = symbols
.iter()
.filter(|symbol| !symbol.trim().is_empty())
.cloned()
.collect::<BTreeSet<_>>();
if base_symbols.is_empty() {
return Ok(());
}
for quote_time in quote_times {
let mut symbols = base_symbols.clone();
self.load_missing_execution_quotes(
execution_date,
Some(*quote_time),
None,
&mut symbols,
)?;
}
Ok(()) Ok(())
} }
@@ -1875,6 +1984,39 @@ where
"on_day:pre", "on_day:pre",
)?; )?;
let on_day_open_orders = self.open_order_views(); let on_day_open_orders = self.open_order_views();
let decision_quote_times = self.strategy.decision_quote_times();
if !decision_quote_times.is_empty() {
let decision_quote_symbols =
self.strategy.decision_quote_symbols(&StrategyContext {
execution_date,
decision_date,
decision_index,
data: &self.data,
portfolio: &portfolio,
futures_account: self.futures_account.as_ref(),
open_orders: &on_day_open_orders,
dynamic_universe: self.dynamic_universe.as_ref(),
subscriptions: &self.subscriptions,
process_events: &process_events,
active_process_event: None,
active_datetime: stage_datetime(
execution_date,
default_stage_time(ScheduleStage::OnDay),
),
order_events: result.order_events.as_slice(),
fills: result.fills.as_slice(),
})?;
self.ensure_execution_quotes_for_symbols_at_times(
execution_date,
&decision_quote_symbols,
&decision_quote_times,
)?;
}
self.ensure_execution_quotes_for_portfolio_times(
execution_date,
&portfolio,
&decision_quote_times,
)?;
let mut decision = decision_slot let mut decision = decision_slot
.map(|(decision_idx, decision_date)| { .map(|(decision_idx, decision_date)| {
self.strategy.on_day(&StrategyContext { self.strategy.on_day(&StrategyContext {
@@ -3211,12 +3353,31 @@ fn has_execution_quote_in_window(
}) })
} }
fn has_execution_quote_near_start_time(
data: &DataSet,
date: NaiveDate,
symbol: &str,
start_time: NaiveTime,
) -> bool {
let cursor = date.and_time(start_time);
let Some(latest) = data
.execution_quotes_on(date, symbol)
.iter()
.filter(|quote| quote.timestamp <= cursor)
.max_by_key(|quote| quote.timestamp)
else {
return false;
};
cursor.signed_duration_since(latest.timestamp) <= Duration::seconds(90)
}
fn decision_has_algo_execution(decision: &StrategyDecision) -> bool { fn decision_has_algo_execution(decision: &StrategyDecision) -> bool {
decision.order_intents.iter().any(|intent| { decision.order_intents.iter().any(|intent| {
matches!( matches!(
intent, intent,
OrderIntent::AlgoValue { .. } OrderIntent::AlgoValue { .. }
| OrderIntent::AlgoPercent { .. } | OrderIntent::AlgoPercent { .. }
| OrderIntent::TimedTargetValue { .. }
| OrderIntent::TargetPortfolioSmart { | OrderIntent::TargetPortfolioSmart {
order_prices: Some(TargetPortfolioOrderPricing::AlgoOrder { .. }), order_prices: Some(TargetPortfolioOrderPricing::AlgoOrder { .. }),
.. ..
@@ -3249,6 +3410,7 @@ fn execution_quote_symbols_for_decision(
| OrderIntent::TargetShares { symbol, .. } | OrderIntent::TargetShares { symbol, .. }
| OrderIntent::LimitTargetShares { symbol, .. } | OrderIntent::LimitTargetShares { symbol, .. }
| OrderIntent::TargetValue { symbol, .. } | OrderIntent::TargetValue { symbol, .. }
| OrderIntent::TimedTargetValue { symbol, .. }
| OrderIntent::LimitTargetValue { symbol, .. } | OrderIntent::LimitTargetValue { symbol, .. }
| OrderIntent::Value { symbol, .. } | OrderIntent::Value { symbol, .. }
| OrderIntent::LimitValue { symbol, .. } | OrderIntent::LimitValue { symbol, .. }
@@ -3283,6 +3445,60 @@ fn execution_quote_symbols_for_decision(
symbols symbols
} }
fn algo_execution_quote_windows_for_decision(
decision: &StrategyDecision,
portfolio: &PortfolioState,
) -> BTreeMap<(Option<NaiveTime>, Option<NaiveTime>), BTreeSet<String>> {
let mut groups = BTreeMap::<(Option<NaiveTime>, Option<NaiveTime>), BTreeSet<String>>::new();
for intent in &decision.order_intents {
match intent {
OrderIntent::AlgoValue {
symbol,
start_time,
end_time,
..
}
| OrderIntent::AlgoPercent {
symbol,
start_time,
end_time,
..
}
| OrderIntent::TimedTargetValue {
symbol,
start_time,
end_time,
..
} => {
if start_time.is_some() || end_time.is_some() {
groups
.entry((*start_time, *end_time))
.or_default()
.insert(symbol.clone());
}
}
OrderIntent::TargetPortfolioSmart {
target_weights,
order_prices:
Some(TargetPortfolioOrderPricing::AlgoOrder {
start_time,
end_time,
..
}),
..
} => {
if start_time.is_some() || end_time.is_some() {
let symbols = groups.entry((*start_time, *end_time)).or_default();
symbols.extend(portfolio.positions().keys().cloned());
symbols.extend(target_weights.keys().cloned());
}
}
_ => {}
}
}
groups
}
fn collect_scheduled_decisions<S: Strategy>( fn collect_scheduled_decisions<S: Strategy>(
strategy: &mut S, strategy: &mut S,
scheduler: &Scheduler<'_>, scheduler: &Scheduler<'_>,
File diff suppressed because it is too large Load Diff
+409 -7
View File
@@ -5,9 +5,10 @@ use serde::{Deserialize, Serialize};
use serde_json::Value; use serde_json::Value;
use crate::{ use crate::{
PlatformAccountActionKind, PlatformExplicitActionStage, PlatformExplicitCancelKind, DynamicSlippageConfig, MatchingType, PlatformAccountActionKind, PlatformExplicitActionStage,
PlatformExplicitOrderKind, PlatformExprStrategyConfig, PlatformRebalanceSchedule, PlatformExplicitCancelKind, PlatformExplicitOrderKind, PlatformExprStrategyConfig,
PlatformScheduleFrequency, PlatformTradeAction, PlatformUniverseActionKind, ScheduleTimeRule, PlatformRebalanceSchedule, PlatformScheduleFrequency, PlatformTradeAction,
PlatformUniverseActionKind, ScheduleTimeRule, SlippageModel,
}; };
#[derive(Debug, Clone, Default, Deserialize, Serialize)] #[derive(Debug, Clone, Default, Deserialize, Serialize)]
@@ -22,6 +23,10 @@ pub struct StrategyRuntimeSpec {
#[serde(default)] #[serde(default)]
pub universe: Option<StrategyUniverseSpec>, pub universe: Option<StrategyUniverseSpec>,
#[serde(default)] #[serde(default)]
pub rebalance: Option<StrategyRebalanceSpec>,
#[serde(default)]
pub trade_times: Vec<String>,
#[serde(default)]
pub signal_symbol: Option<String>, pub signal_symbol: Option<String>,
#[serde(default)] #[serde(default)]
pub execution: Option<StrategyExecutionSpec>, pub execution: Option<StrategyExecutionSpec>,
@@ -49,6 +54,13 @@ pub struct StrategyUniverseSpec {
pub exclude: Vec<String>, pub exclude: Vec<String>,
} }
#[derive(Debug, Clone, Default, Deserialize, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct StrategyRebalanceSpec {
#[serde(default)]
pub trade_times: Vec<String>,
}
#[derive(Debug, Clone, Default, Deserialize, Serialize)] #[derive(Debug, Clone, Default, Deserialize, Serialize)]
#[serde(rename_all = "camelCase")] #[serde(rename_all = "camelCase")]
pub struct StrategyExecutionSpec { pub struct StrategyExecutionSpec {
@@ -128,6 +140,8 @@ pub struct StrategyEngineConfig {
#[serde(default)] #[serde(default)]
pub dividend_reinvestment: Option<bool>, pub dividend_reinvestment: Option<bool>,
#[serde(default)] #[serde(default)]
pub weak_market_shrink_overweight_threshold: Option<f64>,
#[serde(default)]
pub rebalance_schedule: Option<StrategyExpressionScheduleConfig>, pub rebalance_schedule: Option<StrategyExpressionScheduleConfig>,
#[serde(default)] #[serde(default)]
pub skip_windows: Vec<SkipWindowConfig>, pub skip_windows: Vec<SkipWindowConfig>,
@@ -165,6 +179,10 @@ pub struct MovingAverageFilterConfig {
#[serde(default)] #[serde(default)]
pub long_days: Option<usize>, pub long_days: Option<usize>,
#[serde(default)] #[serde(default)]
pub volume_short_days: Option<usize>,
#[serde(default)]
pub volume_long_days: Option<usize>,
#[serde(default)]
pub rsi_rate: Option<f64>, pub rsi_rate: Option<f64>,
} }
@@ -284,6 +302,14 @@ pub struct StrategyExpressionTradingConfig {
#[serde(default)] #[serde(default)]
pub retry_empty_rebalance: Option<bool>, pub retry_empty_rebalance: Option<bool>,
#[serde(default)] #[serde(default)]
pub weak_market_shrink_overweight_threshold: Option<f64>,
#[serde(default)]
pub delayed_limit_open_exit: Option<bool>,
#[serde(default)]
pub delayed_limit_open_exit_time: Option<String>,
#[serde(default)]
pub release_slot_on_exit_signal: Option<bool>,
#[serde(default)]
pub subscription_guard_required: Option<bool>, pub subscription_guard_required: Option<bool>,
#[serde(default)] #[serde(default)]
pub actions: Vec<StrategyExpressionActionConfig>, pub actions: Vec<StrategyExpressionActionConfig>,
@@ -384,6 +410,97 @@ fn apply_cost_overrides(
} }
} }
fn normalize_model_name(value: &str) -> String {
value.trim().to_ascii_lowercase().replace('-', "_")
}
fn parse_matching_type(value: Option<&str>) -> Option<MatchingType> {
match normalize_model_name(value?).as_str() {
"open_auction" => Some(MatchingType::OpenAuction),
"current_bar_close" => Some(MatchingType::CurrentBarClose),
"next_bar_open" => Some(MatchingType::NextBarOpen),
"next_tick_last" => Some(MatchingType::NextTickLast),
"next_tick_best_own" => Some(MatchingType::NextTickBestOwn),
"next_tick_best_counterparty" => Some(MatchingType::NextTickBestCounterparty),
"counterparty_offer" => Some(MatchingType::CounterpartyOffer),
"vwap" => Some(MatchingType::Vwap),
"twap" => Some(MatchingType::Twap),
_ => None,
}
}
fn parse_slippage_model(
model: Option<&str>,
value: Option<f64>,
impact_coefficient: Option<f64>,
volatility_coefficient: Option<f64>,
max_value: Option<f64>,
) -> Option<SlippageModel> {
let value = valid_non_negative(value);
let impact_coefficient = valid_non_negative(impact_coefficient);
let volatility_coefficient = valid_non_negative(volatility_coefficient);
let max_value = valid_non_negative(max_value);
let model = model
.map(normalize_model_name)
.filter(|item| !item.is_empty())
.unwrap_or_else(|| {
if value.is_some_and(|item| item > 0.0) {
"price_ratio".to_string()
} else {
"none".to_string()
}
});
match model.as_str() {
"none" => Some(SlippageModel::None),
"price_ratio" => Some(SlippageModel::PriceRatio(value.unwrap_or(0.0))),
"tick_size" => Some(SlippageModel::TickSize(value.unwrap_or(0.0))),
"limit_price" => Some(SlippageModel::LimitPrice),
"dynamic" | "dynamic_volume_volatility" => {
Some(SlippageModel::Dynamic(DynamicSlippageConfig::new(
impact_coefficient.unwrap_or(0.5),
volatility_coefficient.unwrap_or(0.3),
max_value.or(value).unwrap_or(0.01),
)))
}
_ => None,
}
}
fn apply_execution_behavior_overrides(
cfg: &mut PlatformExprStrategyConfig,
matching_type: Option<&str>,
slippage_model: Option<&str>,
slippage_value: Option<f64>,
slippage_impact_coefficient: Option<f64>,
slippage_volatility_coefficient: Option<f64>,
slippage_max_value: Option<f64>,
strict_value_budget: Option<bool>,
) {
if let Some(matching_type) = parse_matching_type(matching_type) {
cfg.matching_type = matching_type;
}
if slippage_model.is_some()
|| slippage_value.is_some()
|| slippage_impact_coefficient.is_some()
|| slippage_volatility_coefficient.is_some()
|| slippage_max_value.is_some()
{
if let Some(parsed) = parse_slippage_model(
slippage_model,
slippage_value,
slippage_impact_coefficient,
slippage_volatility_coefficient,
slippage_max_value,
) {
cfg.slippage_model = parsed;
}
}
if let Some(enabled) = strict_value_budget {
cfg.strict_value_budget = enabled;
}
}
fn parse_usize_after(text: &str, start: usize) -> Option<(usize, usize)> { fn parse_usize_after(text: &str, start: usize) -> Option<(usize, usize)> {
let bytes = text.as_bytes(); let bytes = text.as_bytes();
let mut end = start; let mut end = start;
@@ -453,6 +570,20 @@ fn sorted_unique_positive(mut values: Vec<usize>) -> Vec<usize> {
values values
} }
fn stock_close_ma_expr(days: usize) -> String {
match days {
5 | 10 | 20 | 30 => format!("stock_ma{days}"),
_ => format!("rolling_mean(\"close\", {days})"),
}
}
fn stock_volume_ma_expr(days: usize) -> String {
match days {
5 | 10 | 20 | 60 | 100 => format!("stock_volume_ma{days}"),
_ => format!("rolling_mean(\"volume\", {days})"),
}
}
fn infer_expression_windows( fn infer_expression_windows(
cfg: &mut PlatformExprStrategyConfig, cfg: &mut PlatformExprStrategyConfig,
benchmark_short_explicit: bool, benchmark_short_explicit: bool,
@@ -534,6 +665,12 @@ pub fn platform_expr_config_from_spec(
if let Some(refresh_rate) = engine.refresh_rate.filter(|value| *value > 0) { if let Some(refresh_rate) = engine.refresh_rate.filter(|value| *value > 0) {
cfg.refresh_rate = refresh_rate; cfg.refresh_rate = refresh_rate;
} }
if let Some(threshold) = engine
.weak_market_shrink_overweight_threshold
.filter(|value| value.is_finite() && *value > 0.0)
{
cfg.weak_market_shrink_overweight_threshold = Some(threshold);
}
if let Some(schedule) = engine if let Some(schedule) = engine
.rebalance_schedule .rebalance_schedule
.as_ref() .as_ref()
@@ -607,6 +744,16 @@ pub fn platform_expr_config_from_spec(
engine.stamp_tax_rate_before_change, engine.stamp_tax_rate_before_change,
engine.stamp_tax_rate_after_change, engine.stamp_tax_rate_after_change,
); );
apply_execution_behavior_overrides(
&mut cfg,
engine.matching_type.as_deref(),
engine.slippage_model.as_deref(),
engine.slippage_value,
engine.slippage_impact_coefficient,
engine.slippage_volatility_coefficient,
engine.slippage_max_value,
engine.strict_value_budget,
);
} }
if let Some(spec_signal_symbol) = spec if let Some(spec_signal_symbol) = spec
@@ -804,6 +951,26 @@ pub fn platform_expr_config_from_spec(
if let Some(enabled) = trading.retry_empty_rebalance { if let Some(enabled) = trading.retry_empty_rebalance {
cfg.retry_empty_rebalance = enabled; cfg.retry_empty_rebalance = enabled;
} }
if let Some(threshold) = trading
.weak_market_shrink_overweight_threshold
.filter(|value| value.is_finite() && *value > 0.0)
{
cfg.weak_market_shrink_overweight_threshold = Some(threshold);
}
if let Some(enabled) = trading.release_slot_on_exit_signal {
cfg.release_slot_on_exit_signal = enabled;
}
if let Some(enabled) = trading.delayed_limit_open_exit {
cfg.delayed_limit_open_exit_enabled = enabled;
if enabled {
cfg.delayed_limit_open_exit_time = trading
.delayed_limit_open_exit_time
.as_deref()
.and_then(|value| parse_schedule_clock_time(Some(value)));
} else {
cfg.delayed_limit_open_exit_time = None;
}
}
if let Some(enabled) = spec if let Some(enabled) = spec
.engine_config .engine_config
.as_ref() .as_ref()
@@ -864,10 +1031,36 @@ pub fn platform_expr_config_from_spec(
} }
if let Some(stock_ma_filter) = engine.stock_ma_filter.as_ref() { if let Some(stock_ma_filter) = engine.stock_ma_filter.as_ref() {
let ratio = stock_ma_filter.rsi_rate.unwrap_or(1.0001); let ratio = stock_ma_filter.rsi_rate.unwrap_or(1.0001);
cfg.stock_filter_expr = format!( let short_days = stock_ma_filter
"stock_ma_short > stock_ma_mid * {} && stock_ma_mid * {} > stock_ma_long", .short_days
ratio, ratio .unwrap_or(cfg.stock_short_ma_days);
); let mid_days = stock_ma_filter.mid_days.unwrap_or(cfg.stock_mid_ma_days);
let long_days = stock_ma_filter.long_days.unwrap_or(cfg.stock_long_ma_days);
let mut conditions = vec![
format!(
"{} > {} * {}",
stock_close_ma_expr(short_days),
stock_close_ma_expr(mid_days),
ratio
),
format!(
"{} > {} * {}",
stock_close_ma_expr(mid_days),
stock_close_ma_expr(long_days),
ratio
),
];
if let (Some(volume_short_days), Some(volume_long_days)) = (
stock_ma_filter.volume_short_days.filter(|value| *value > 0),
stock_ma_filter.volume_long_days.filter(|value| *value > 0),
) {
conditions.push(format!(
"{} < {}",
stock_volume_ma_expr(volume_short_days),
stock_volume_ma_expr(volume_long_days)
));
}
cfg.stock_filter_expr = conditions.join(" && ");
} }
if let Some(index_throttle) = engine.index_throttle.as_ref() { if let Some(index_throttle) = engine.index_throttle.as_ref() {
let ratio = index_throttle.rsi_rate.unwrap_or(1.0001); let ratio = index_throttle.rsi_rate.unwrap_or(1.0001);
@@ -930,6 +1123,28 @@ pub fn platform_expr_config_from_spec(
cfg.retry_empty_rebalance = true; cfg.retry_empty_rebalance = true;
} }
} }
let trade_times = spec_trade_times(spec);
if let Some(main_trade_time) = trade_times.last().copied() {
cfg.intraday_execution_time = Some(main_trade_time);
}
let delayed_limit_open_exit_explicit = spec
.runtime_expressions
.as_ref()
.and_then(|runtime_expr| runtime_expr.trading.as_ref())
.and_then(|trading| trading.delayed_limit_open_exit)
.is_some();
if aiquant_compat && !delayed_limit_open_exit_explicit && trade_times.len() > 1 {
let delayed_time = trade_times[0];
if trade_times
.last()
.copied()
.map(|main_time| main_time != delayed_time)
.unwrap_or(true)
{
cfg.delayed_limit_open_exit_enabled = true;
cfg.delayed_limit_open_exit_time = Some(delayed_time);
}
}
if let Some(execution) = spec.execution.as_ref() { if let Some(execution) = spec.execution.as_ref() {
apply_cost_overrides( apply_cost_overrides(
&mut cfg, &mut cfg,
@@ -938,6 +1153,23 @@ pub fn platform_expr_config_from_spec(
execution.stamp_tax_rate_before_change, execution.stamp_tax_rate_before_change,
execution.stamp_tax_rate_after_change, execution.stamp_tax_rate_after_change,
); );
apply_execution_behavior_overrides(
&mut cfg,
execution.matching_type.as_deref(),
execution.slippage_model.as_deref(),
execution.slippage_value,
execution.slippage_impact_coefficient,
execution.slippage_volatility_coefficient,
execution.slippage_max_value,
execution.strict_value_budget,
);
}
if cfg.aiquant_transaction_cost
&& cfg
.minimum_commission
.is_some_and(|value| value.is_finite() && value <= 0.0)
{
cfg.minimum_commission = None;
} }
cfg cfg
@@ -1015,6 +1247,24 @@ fn parse_schedule_clock_time(raw: Option<&str>) -> Option<NaiveTime> {
.or_else(|| NaiveTime::parse_from_str(value, "%H:%M").ok()) .or_else(|| NaiveTime::parse_from_str(value, "%H:%M").ok())
} }
fn parse_trade_times(raw: &[String]) -> Vec<NaiveTime> {
raw.iter()
.filter_map(|item| parse_schedule_clock_time(Some(item.as_str())))
.collect()
}
fn spec_trade_times(spec: &StrategyRuntimeSpec) -> Vec<NaiveTime> {
let rebalance_times = spec
.rebalance
.as_ref()
.map(|rebalance| parse_trade_times(&rebalance.trade_times))
.unwrap_or_default();
if !rebalance_times.is_empty() {
return rebalance_times;
}
parse_trade_times(&spec.trade_times)
}
fn parse_platform_trade_action( fn parse_platform_trade_action(
action: &StrategyExpressionActionConfig, action: &StrategyExpressionActionConfig,
) -> Option<PlatformTradeAction> { ) -> Option<PlatformTradeAction> {
@@ -1335,6 +1585,7 @@ mod tests {
"rotationEnabled": false, "rotationEnabled": false,
"dailyTopUp": true, "dailyTopUp": true,
"retryEmptyRebalance": true, "retryEmptyRebalance": true,
"weakMarketShrinkOverweightThreshold": 1.1,
"stage": "open_auction", "stage": "open_auction",
"actions": [ "actions": [
{ {
@@ -1358,6 +1609,7 @@ mod tests {
assert!(!cfg.rotation_enabled); assert!(!cfg.rotation_enabled);
assert!(cfg.daily_top_up_enabled); assert!(cfg.daily_top_up_enabled);
assert!(cfg.retry_empty_rebalance); assert!(cfg.retry_empty_rebalance);
assert_eq!(cfg.weak_market_shrink_overweight_threshold, Some(1.1));
assert!(!cfg.calendar_rebalance_interval); assert!(!cfg.calendar_rebalance_interval);
assert!(cfg.aiquant_transaction_cost); assert!(cfg.aiquant_transaction_cost);
assert_eq!(cfg.explicit_actions.len(), 1); assert_eq!(cfg.explicit_actions.len(), 1);
@@ -1367,6 +1619,19 @@ mod tests {
); );
} }
#[test]
fn engine_config_parses_weak_market_shrink_overweight_threshold() {
let spec = serde_json::json!({
"engineConfig": {
"weakMarketShrinkOverweightThreshold": 1.2
}
});
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
assert_eq!(cfg.weak_market_shrink_overweight_threshold, Some(1.2));
}
#[test] #[test]
fn parses_execution_cost_overrides_into_platform_config() { fn parses_execution_cost_overrides_into_platform_config() {
let spec = serde_json::json!({ let spec = serde_json::json!({
@@ -1391,6 +1656,74 @@ mod tests {
assert_eq!(cfg.stamp_tax_rate_after_change, Some(0.0005)); assert_eq!(cfg.stamp_tax_rate_after_change, Some(0.0005));
} }
#[test]
fn parses_execution_slippage_overrides_into_platform_config() {
let spec = serde_json::json!({
"execution": {
"compatibilityProfile": "aiquant_rqalpha",
"matchingType": "next_tick_last",
"slippageModel": "price_ratio",
"slippageValue": 0.001,
"strictValueBudget": true
},
"engineConfig": {
"matchingType": "current_bar_close",
"slippageModel": "none",
"slippageValue": 0.0,
"strictValueBudget": false
}
});
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
assert_eq!(cfg.matching_type, MatchingType::NextTickLast);
assert_eq!(cfg.slippage_model, SlippageModel::PriceRatio(0.001));
assert!(cfg.strict_value_budget);
}
#[test]
fn parses_dynamic_slippage_into_platform_config() {
let spec = serde_json::json!({
"execution": {
"slippageModel": "dynamic",
"slippageImpactCoefficient": 0.6,
"slippageVolatilityCoefficient": 0.2,
"slippageMaxValue": 0.015
}
});
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
assert_eq!(
cfg.slippage_model,
SlippageModel::Dynamic(DynamicSlippageConfig::new(0.6, 0.2, 0.015))
);
}
#[test]
fn engine_stock_ma_filter_generates_price_and_volume_expr() {
let spec = serde_json::json!({
"engineConfig": {
"rankLimit": 40,
"stockMaFilter": {
"shortDays": 5,
"midDays": 10,
"longDays": 30,
"volumeShortDays": 5,
"volumeLongDays": 100,
"rsiRate": 1.00001
}
}
});
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
assert_eq!(
cfg.stock_filter_expr,
"stock_ma5 > stock_ma10 * 1.00001 && stock_ma10 > stock_ma30 * 1.00001 && stock_volume_ma5 < stock_volume_ma100"
);
}
#[test] #[test]
fn aiquant_profile_defaults_to_daily_top_up_and_empty_retry() { fn aiquant_profile_defaults_to_daily_top_up_and_empty_retry() {
let spec = serde_json::json!({ let spec = serde_json::json!({
@@ -1497,4 +1830,73 @@ mod tests {
assert!(!cfg.calendar_rebalance_interval); assert!(!cfg.calendar_rebalance_interval);
assert!(cfg.aiquant_transaction_cost); assert!(cfg.aiquant_transaction_cost);
} }
#[test]
fn parses_aiquant_rebalance_trade_times_for_delayed_limit_exit() {
let spec = serde_json::json!({
"execution": { "compatibilityProfile": "aiquant_rqalpha" },
"rebalance": { "tradeTimes": ["10:31", "10:40"] },
"runtimeExpressions": {
"schedule": { "frequency": "daily", "time": "10:40" }
}
});
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
assert_eq!(
cfg.intraday_execution_time,
Some(NaiveTime::from_hms_opt(10, 40, 0).unwrap())
);
assert!(cfg.delayed_limit_open_exit_enabled);
assert_eq!(
cfg.delayed_limit_open_exit_time,
Some(NaiveTime::from_hms_opt(10, 31, 0).unwrap())
);
}
#[test]
fn parses_explicit_delayed_limit_open_exit() {
let spec = serde_json::json!({
"execution": { "compatibilityProfile": "aiquant_rqalpha" },
"runtimeExpressions": {
"schedule": { "frequency": "daily", "time": "10:40" },
"trading": {
"delayedLimitOpenExit": true,
"delayedLimitOpenExitTime": "10:31"
}
}
});
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
assert_eq!(
cfg.intraday_execution_time,
Some(NaiveTime::from_hms_opt(10, 40, 0).unwrap())
);
assert!(cfg.delayed_limit_open_exit_enabled);
assert_eq!(
cfg.delayed_limit_open_exit_time,
Some(NaiveTime::from_hms_opt(10, 31, 0).unwrap())
);
}
#[test]
fn explicit_delayed_limit_open_exit_false_overrides_aiquant_trade_times() {
let spec = serde_json::json!({
"execution": { "compatibilityProfile": "aiquant_rqalpha" },
"rebalance": { "tradeTimes": ["10:31", "10:40"] },
"runtimeExpressions": {
"schedule": { "frequency": "daily", "time": "10:40" },
"trading": {
"delayedLimitOpenExit": false,
"delayedLimitOpenExitTime": "10:31"
}
}
});
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
assert!(!cfg.delayed_limit_open_exit_enabled);
assert_eq!(cfg.delayed_limit_open_exit_time, None);
}
} }
+93 -14
View File
@@ -20,6 +20,7 @@ pub struct Position {
pub average_cost: f64, pub average_cost: f64,
pub last_price: f64, pub last_price: f64,
pub realized_pnl: f64, pub realized_pnl: f64,
realized_entry_pnl: f64,
pub trading_pnl: f64, pub trading_pnl: f64,
pub position_pnl: f64, pub position_pnl: f64,
pub dividend_receivable: f64, pub dividend_receivable: f64,
@@ -44,6 +45,7 @@ impl Position {
average_cost: 0.0, average_cost: 0.0,
last_price: 0.0, last_price: 0.0,
realized_pnl: 0.0, realized_pnl: 0.0,
realized_entry_pnl: 0.0,
trading_pnl: 0.0, trading_pnl: 0.0,
position_pnl: 0.0, position_pnl: 0.0,
dividend_receivable: 0.0, dividend_receivable: 0.0,
@@ -66,6 +68,16 @@ impl Position {
} }
pub fn buy(&mut self, date: NaiveDate, quantity: u32, price: f64) { pub fn buy(&mut self, date: NaiveDate, quantity: u32, price: f64) {
self.buy_with_mark_price(date, quantity, price, price);
}
pub fn buy_with_mark_price(
&mut self,
date: NaiveDate,
quantity: u32,
execution_price: f64,
mark_price: f64,
) {
if quantity == 0 { if quantity == 0 {
return; return;
} }
@@ -73,19 +85,28 @@ impl Position {
self.lots.push(PositionLot { self.lots.push(PositionLot {
acquired_date: date, acquired_date: date,
quantity, quantity,
entry_price: price, entry_price: execution_price,
price, price: execution_price,
}); });
self.quantity += quantity; self.quantity += quantity;
self.last_price = price; self.last_price = normalized_mark_price(mark_price, execution_price);
self.day_trade_quantity_delta += quantity as i32; self.day_trade_quantity_delta += quantity as i32;
self.day_buy_quantity += quantity; self.day_buy_quantity += quantity;
self.day_buy_value += price * quantity as f64; self.day_buy_value += execution_price * quantity as f64;
self.recalculate_average_cost(); self.recalculate_average_cost();
self.refresh_day_pnl(); self.refresh_day_pnl();
} }
pub fn sell(&mut self, quantity: u32, price: f64) -> Result<f64, String> { pub fn sell(&mut self, quantity: u32, price: f64) -> Result<f64, String> {
self.sell_with_mark_price(quantity, price, price)
}
pub fn sell_with_mark_price(
&mut self,
quantity: u32,
execution_price: f64,
mark_price: f64,
) -> Result<f64, String> {
if quantity > self.quantity { if quantity > self.quantity {
return Err(format!( return Err(format!(
"sell quantity {} exceeds current quantity {} for {}", "sell quantity {} exceeds current quantity {} for {}",
@@ -95,6 +116,7 @@ impl Position {
let mut remaining = quantity; let mut remaining = quantity;
let mut realized = 0.0; let mut realized = 0.0;
let mut realized_entry = 0.0;
while remaining > 0 { while remaining > 0 {
let Some(first_lot) = self.lots.first_mut() else { let Some(first_lot) = self.lots.first_mut() else {
@@ -102,7 +124,8 @@ impl Position {
}; };
let lot_sell = remaining.min(first_lot.quantity); let lot_sell = remaining.min(first_lot.quantity);
realized += (price - first_lot.price) * lot_sell as f64; realized += (execution_price - first_lot.price) * lot_sell as f64;
realized_entry += (execution_price - first_lot.entry_price) * lot_sell as f64;
first_lot.quantity -= lot_sell; first_lot.quantity -= lot_sell;
remaining -= lot_sell; remaining -= lot_sell;
@@ -112,11 +135,12 @@ impl Position {
} }
self.quantity -= quantity; self.quantity -= quantity;
self.last_price = price; self.last_price = normalized_mark_price(mark_price, execution_price);
self.realized_pnl += realized; self.realized_pnl += realized;
self.realized_entry_pnl += realized_entry;
self.day_trade_quantity_delta -= quantity as i32; self.day_trade_quantity_delta -= quantity as i32;
self.day_sell_quantity += quantity; self.day_sell_quantity += quantity;
self.day_sell_value += price * quantity as f64; self.day_sell_value += execution_price * quantity as f64;
self.recalculate_average_cost(); self.recalculate_average_cost();
self.refresh_day_pnl(); self.refresh_day_pnl();
Ok(realized) Ok(realized)
@@ -138,10 +162,21 @@ impl Position {
(self.last_price - self.average_cost) * self.quantity as f64 (self.last_price - self.average_cost) * self.quantity as f64
} }
pub fn unrealized_entry_pnl(&self) -> f64 {
let Some(avg_price) = self.average_entry_price() else {
return 0.0;
};
(self.last_price - avg_price) * self.quantity as f64
}
pub fn pnl(&self) -> f64 { pub fn pnl(&self) -> f64 {
self.realized_pnl + self.unrealized_pnl() self.realized_pnl + self.unrealized_pnl()
} }
pub fn entry_pnl(&self) -> f64 {
self.realized_entry_pnl + self.unrealized_entry_pnl()
}
pub fn day_start_quantity(&self) -> u32 { pub fn day_start_quantity(&self) -> u32 {
self.day_start_quantity self.day_start_quantity
} }
@@ -356,6 +391,14 @@ impl Position {
} }
} }
fn normalized_mark_price(mark_price: f64, fallback: f64) -> f64 {
if mark_price.is_finite() && mark_price > 0.0 {
mark_price
} else {
fallback
}
}
#[derive(Debug, Clone)] #[derive(Debug, Clone)]
pub struct PortfolioState { pub struct PortfolioState {
initial_cash: f64, initial_cash: f64,
@@ -738,21 +781,27 @@ impl PortfolioState {
self.positions self.positions
.values() .values()
.filter(|position| position.quantity > 0) .filter(|position| position.quantity > 0)
.map(|position| HoldingSummary { .map(|position| {
let market_value = position.market_value();
let entry_average_cost = position
.average_entry_price()
.filter(|value| value.is_finite() && *value > 0.0)
.unwrap_or(position.average_cost);
HoldingSummary {
date, date,
symbol: position.symbol.clone(), symbol: position.symbol.clone(),
quantity: position.quantity, quantity: position.quantity,
average_cost: position.average_cost, average_cost: entry_average_cost,
last_price: position.last_price, last_price: position.last_price,
market_value: position.market_value(), market_value,
value_percent: if total_equity > 0.0 { value_percent: if total_equity > 0.0 {
position.market_value() / total_equity market_value / total_equity
} else { } else {
0.0 0.0
}, },
unrealized_pnl: position.unrealized_pnl(), unrealized_pnl: position.unrealized_entry_pnl(),
realized_pnl: position.realized_pnl, realized_pnl: position.realized_entry_pnl,
pnl: position.pnl(), pnl: position.entry_pnl(),
trading_pnl: position.trading_pnl, trading_pnl: position.trading_pnl,
position_pnl: position.position_pnl, position_pnl: position.position_pnl,
dividend_receivable: position.dividend_receivable, dividend_receivable: position.dividend_receivable,
@@ -765,6 +814,7 @@ impl PortfolioState {
sold_value: position.sold_value(), sold_value: position.sold_value(),
transaction_cost: position.transaction_cost(), transaction_cost: position.transaction_cost(),
day_trade_quantity_delta: position.day_trade_quantity_delta(), day_trade_quantity_delta: position.day_trade_quantity_delta(),
}
}) })
.collect() .collect()
} }
@@ -788,6 +838,7 @@ impl PortfolioState {
let old_quantity = old_position.quantity; let old_quantity = old_position.quantity;
let last_price = old_position.last_price; let last_price = old_position.last_price;
let realized_pnl = old_position.realized_pnl; let realized_pnl = old_position.realized_pnl;
let realized_entry_pnl = old_position.realized_entry_pnl;
let mut converted_lots = old_position let mut converted_lots = old_position
.lots .lots
.into_iter() .into_iter()
@@ -824,6 +875,7 @@ impl PortfolioState {
successor.lots.extend(converted_lots); successor.lots.extend(converted_lots);
successor.quantity = successor.lots.iter().map(|lot| lot.quantity).sum(); successor.quantity = successor.lots.iter().map(|lot| lot.quantity).sum();
successor.realized_pnl += realized_pnl; successor.realized_pnl += realized_pnl;
successor.realized_entry_pnl += realized_entry_pnl;
if converted_last_price > 0.0 { if converted_last_price > 0.0 {
successor.last_price = converted_last_price; successor.last_price = converted_last_price;
} }
@@ -903,6 +955,31 @@ mod tests {
assert!((position.holding_return(6.06).unwrap() - (6.06 / 5.66 - 1.0)).abs() < 1e-12); assert!((position.holding_return(6.06).unwrap() - (6.06 / 5.66 - 1.0)).abs() < 1e-12);
} }
#[test]
fn holdings_summary_reports_entry_price_pnl_excluding_buy_commission() {
let date = NaiveDate::from_ymd_opt(2025, 1, 2).unwrap();
let mut portfolio = PortfolioState::new(10_000.0);
{
let position = portfolio.position_mut("600561.SH");
position.buy(date, 100, 10.0);
position.record_buy_trade_cost(100, 5.0);
position.last_price = 10.5;
}
let summary = portfolio.holdings_summary(date);
assert_eq!(summary.len(), 1);
assert!((summary[0].average_cost - 10.0).abs() < 1e-12);
assert!((summary[0].unrealized_pnl - 50.0).abs() < 1e-12);
assert!((summary[0].realized_pnl - 0.0).abs() < 1e-12);
assert!(
portfolio
.position("600561.SH")
.expect("position")
.average_cost
> summary[0].average_cost
);
}
#[test] #[test]
fn cash_dividend_can_preserve_avg_cost_for_aiquant_compatibility() { fn cash_dividend_can_preserve_avg_cost_for_aiquant_compatibility() {
let date = NaiveDate::from_ymd_opt(2025, 1, 2).unwrap(); let date = NaiveDate::from_ymd_opt(2025, 1, 2).unwrap();
@@ -1009,6 +1086,7 @@ mod tests {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -1095,6 +1173,7 @@ mod tests {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
+116 -8
View File
@@ -41,6 +41,21 @@ impl ChinaAShareRiskControl {
candidate: &CandidateEligibility, candidate: &CandidateEligibility,
market: &DailyMarketSnapshot, market: &DailyMarketSnapshot,
instrument: Option<&Instrument>, instrument: Option<&Instrument>,
) -> Option<&'static str> {
if let Some(reason) = Self::baseline_rejection_reason(date, candidate, market, instrument) {
return Some(reason);
}
if !candidate.allow_buy || !candidate.allow_sell {
return Some("trade_disabled");
}
None
}
pub fn baseline_rejection_reason(
date: NaiveDate,
candidate: &CandidateEligibility,
market: &DailyMarketSnapshot,
instrument: Option<&Instrument>,
) -> Option<&'static str> { ) -> Option<&'static str> {
if let Some(reason) = Self::instrument_rejection_reason(instrument, date) { if let Some(reason) = Self::instrument_rejection_reason(instrument, date) {
return Some(reason); return Some(reason);
@@ -60,9 +75,6 @@ impl ChinaAShareRiskControl {
if candidate.is_one_yuan || market.day_open <= 1.0 { if candidate.is_one_yuan || market.day_open <= 1.0 {
return Some("one_yuan"); return Some("one_yuan");
} }
if !candidate.allow_buy || !candidate.allow_sell {
return Some("trade_disabled");
}
None None
} }
@@ -73,8 +85,7 @@ impl ChinaAShareRiskControl {
instrument: Option<&Instrument>, instrument: Option<&Instrument>,
check_price: f64, check_price: f64,
) -> Option<&'static str> { ) -> Option<&'static str> {
if let Some(reason) = Self::selection_rejection_reason(date, candidate, market, instrument) if let Some(reason) = Self::baseline_rejection_reason(date, candidate, market, instrument) {
{
return Some(reason); return Some(reason);
} }
if !candidate.allow_buy { if !candidate.allow_buy {
@@ -100,9 +111,10 @@ impl ChinaAShareRiskControl {
if market.paused || candidate.is_paused { if market.paused || candidate.is_paused {
return Some("paused"); return Some("paused");
} }
if !candidate.allow_sell { // `allow_sell` is derived from the daily candidate snapshot and may
return Some("sell_disabled"); // reflect an open/close fallback rather than the actual execution tick.
} // A sell order must be blocked by the execution price lower-limit check
// below, while suspension and delisting are handled above.
if market.is_at_lower_limit_price(check_price) { if market.is_at_lower_limit_price(check_price) {
return Some("open at or below lower limit"); return Some("open at or below lower limit");
} }
@@ -123,3 +135,99 @@ impl ChinaAShareRiskControl {
} }
} }
} }
#[cfg(test)]
mod tests {
use super::*;
fn d(year: i32, month: u32, day: u32) -> NaiveDate {
NaiveDate::from_ymd_opt(year, month, day).expect("valid date")
}
fn candidate(date: NaiveDate) -> CandidateEligibility {
CandidateEligibility {
date,
symbol: "002633.SZ".to_string(),
is_st: false,
is_new_listing: false,
is_paused: false,
allow_buy: true,
allow_sell: false,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}
}
fn market(date: NaiveDate, last_price: f64, lower_limit: f64) -> DailyMarketSnapshot {
DailyMarketSnapshot {
date,
symbol: "002633.SZ".to_string(),
timestamp: Some(format!("{date} 10:18:00")),
day_open: last_price,
open: last_price,
high: last_price,
low: last_price,
close: last_price,
last_price,
bid1: last_price,
ask1: last_price,
prev_close: 6.25,
volume: 1_000_000,
tick_volume: 10_000,
bid1_volume: 10_000,
ask1_volume: 10_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 6.89,
lower_limit,
price_tick: 0.01,
}
}
fn position(prev_date: NaiveDate) -> Position {
let mut position = Position::new("002633.SZ");
position.buy(prev_date, 7_200, 8.48);
position
}
#[test]
fn sell_rejection_uses_execution_price_not_stale_allow_sell() {
let prev_date = d(2024, 4, 16);
let date = d(2024, 4, 17);
let candidate = candidate(date);
let market = market(date, 6.27, 5.63);
let position = position(prev_date);
let reason = ChinaAShareRiskControl::sell_rejection_reason(
date,
&candidate,
&market,
None,
Some(&position),
6.27,
);
assert_eq!(reason, None);
}
#[test]
fn sell_rejection_blocks_execution_price_at_lower_limit() {
let prev_date = d(2024, 4, 16);
let date = d(2024, 4, 17);
let candidate = candidate(date);
let market = market(date, 5.63, 5.63);
let position = position(prev_date);
let reason = ChinaAShareRiskControl::sell_rejection_reason(
date,
&candidate,
&market,
None,
Some(&position),
5.63,
);
assert_eq!(reason, Some("open at or below lower limit"));
}
}
+36 -57
View File
@@ -40,6 +40,15 @@ pub trait Strategy {
fn schedule_rules(&self) -> Vec<ScheduleRule> { fn schedule_rules(&self) -> Vec<ScheduleRule> {
Vec::new() Vec::new()
} }
fn decision_quote_times(&self) -> Vec<NaiveTime> {
Vec::new()
}
fn decision_quote_symbols(
&mut self,
_ctx: &StrategyContext<'_>,
) -> Result<BTreeSet<String>, BacktestError> {
Ok(BTreeSet::new())
}
fn on_scheduled( fn on_scheduled(
&mut self, &mut self,
_ctx: &StrategyContext<'_>, _ctx: &StrategyContext<'_>,
@@ -980,6 +989,14 @@ pub enum OrderIntent {
target_value: f64, target_value: f64,
reason: String, reason: String,
}, },
TimedTargetValue {
symbol: String,
target_value: f64,
style: AlgoOrderStyle,
start_time: Option<NaiveTime>,
end_time: Option<NaiveTime>,
reason: String,
},
LimitTargetValue { LimitTargetValue {
symbol: String, symbol: String,
target_value: f64, target_value: f64,
@@ -1536,6 +1553,8 @@ pub struct OmniMicroCapConfig {
pub stock_short_ma_days: usize, pub stock_short_ma_days: usize,
pub stock_mid_ma_days: usize, pub stock_mid_ma_days: usize,
pub stock_long_ma_days: usize, pub stock_long_ma_days: usize,
pub stock_volume_short_ma_days: usize,
pub stock_volume_long_ma_days: usize,
pub rsi_rate: f64, pub rsi_rate: f64,
pub trade_rate: f64, pub trade_rate: f64,
pub stop_loss_ratio: f64, pub stop_loss_ratio: f64,
@@ -1562,6 +1581,8 @@ impl OmniMicroCapConfig {
stock_short_ma_days: 5, stock_short_ma_days: 5,
stock_mid_ma_days: 10, stock_mid_ma_days: 10,
stock_long_ma_days: 20, stock_long_ma_days: 20,
stock_volume_short_ma_days: 5,
stock_volume_long_ma_days: 60,
rsi_rate: 1.0001, rsi_rate: 1.0001,
trade_rate: 0.5, trade_rate: 0.5,
stop_loss_ratio: 0.93, stop_loss_ratio: 0.93,
@@ -1590,6 +1611,8 @@ impl OmniMicroCapConfig {
stock_short_ma_days: 5, stock_short_ma_days: 5,
stock_mid_ma_days: 10, stock_mid_ma_days: 10,
stock_long_ma_days: 30, stock_long_ma_days: 30,
stock_volume_short_ma_days: 5,
stock_volume_long_ma_days: 60,
rsi_rate: 1.0001, rsi_rate: 1.0001,
trade_rate: 0.5, trade_rate: 0.5,
stop_loss_ratio: 0.92, stop_loss_ratio: 0.92,
@@ -2268,62 +2291,33 @@ impl OmniMicroCapStrategy {
return false; return false;
}; };
// MA filter: ma_short > ma_mid * rsi_rate && ma_mid * rsi_rate > ma_long
let ma_pass = let ma_pass =
ma_short > ma_mid * self.config.rsi_rate && ma_mid * self.config.rsi_rate > ma_long; ma_short > ma_mid * self.config.rsi_rate && ma_mid * self.config.rsi_rate > ma_long;
// Debug logging for ALL stocks on first decision date
static DEBUG_DATE: std::sync::Mutex<Option<NaiveDate>> = std::sync::Mutex::new(None);
let mut debug_date = DEBUG_DATE.lock().unwrap();
let should_debug = if let Some(d) = *debug_date {
d == date
} else {
*debug_date = Some(date);
true
};
if should_debug {
eprintln!(
"[MA_FILTER] {} cap={:.2} ma5={:.4} ma10={:.4} ma30={:.4} ma10*rsi={:.4} pass={} ({}>{:.4}? {} && {:.4}>{}? {})",
symbol,
ctx.data.market_decision_close(date, symbol).unwrap_or(0.0),
ma_short,
ma_mid,
ma_long,
ma_mid * self.config.rsi_rate,
ma_pass,
ma_short,
ma_mid * self.config.rsi_rate,
ma_short > ma_mid * self.config.rsi_rate,
ma_mid * self.config.rsi_rate,
ma_long,
ma_mid * self.config.rsi_rate > ma_long
);
}
if !ma_pass { if !ma_pass {
return false; return false;
} }
// Volume filter: V5 < V60 (applied for omni_microcap strategies)
if self.config.strategy_name.contains("aiquant") if self.config.strategy_name.contains("aiquant")
|| self.config.strategy_name.contains("AiQuant") || self.config.strategy_name.contains("AiQuant")
|| self.config.strategy_name.contains("omni") || self.config.strategy_name.contains("omni")
{ {
let Some(volume_ma5) = ctx let Some(volume_ma5) = ctx.data.market_decision_volume_moving_average(
.data date,
.market_decision_volume_moving_average(date, symbol, 5) symbol,
else { self.config.stock_volume_short_ma_days,
) else {
return false; return false;
}; };
let Some(volume_ma60) = ctx let Some(volume_ma_long) = ctx.data.market_decision_volume_moving_average(
.data date,
.market_decision_volume_moving_average(date, symbol, 60) symbol,
else { self.config.stock_volume_long_ma_days,
) else {
return false; return false;
}; };
if volume_ma5 >= volume_ma60 { if volume_ma5 >= volume_ma_long {
return false; return false;
} }
} }
@@ -2516,18 +2510,6 @@ fn omni_truth_stock_list_candidates() -> Vec<PathBuf> {
} }
} }
} }
let suffix = PathBuf::from("data/demo/engine_truth_stock_list.csv");
let manifest_root = Path::new(env!("CARGO_MANIFEST_DIR"));
push_unique_truth_path(
&mut candidates,
manifest_root.join("../../../").join(&suffix),
);
if let Ok(current_dir) = env::current_dir() {
for ancestor in current_dir.ancestors() {
push_unique_truth_path(&mut candidates, ancestor.join(&suffix));
}
}
candidates candidates
} }
@@ -2696,10 +2678,6 @@ impl Strategy for OmniMicroCapStrategy {
}; };
// 使用前一交易日的指数价格计算市值区间(模拟实盘场景) // 使用前一交易日的指数价格计算市值区间(模拟实盘场景)
let (band_low, band_high) = self.market_cap_band(prev_index_level); let (band_low, band_high) = self.market_cap_band(prev_index_level);
eprintln!(
"[DEBUG] date={} current_index={:.2} prev_index={:.2} band=[{:.0}, {:.0}]",
date, index_level, prev_index_level, band_low, band_high
);
let (stock_list, selection_notes) = self.select_symbols(ctx, date, band_low, band_high)?; let (stock_list, selection_notes) = self.select_symbols(ctx, date, band_low, band_high)?;
let periodic_rebalance = ctx.decision_index % self.config.refresh_rate == 0; let periodic_rebalance = ctx.decision_index % self.config.refresh_rate == 0;
let mut projected = ctx.portfolio.clone(); let mut projected = ctx.portfolio.clone();
@@ -2723,7 +2701,8 @@ impl Strategy for OmniMicroCapStrategy {
+ self.stop_loss_tolerance(market); + self.stop_loss_tolerance(market);
let profit_hit = current_price / position.average_cost > self.config.take_profit_ratio; let profit_hit = current_price / position.average_cost > self.config.take_profit_ratio;
let can_sell = self.can_sell_position(ctx, date, &position.symbol); let can_sell = self.can_sell_position(ctx, date, &position.symbol);
if stop_hit || profit_hit { let at_upper_limit = market.is_at_upper_limit_price(current_price);
if stop_hit || (profit_hit && !at_upper_limit) {
let sell_reason = if stop_hit { let sell_reason = if stop_hit {
"stop_loss_exit" "stop_loss_exit"
} else { } else {
+1 -1
View File
@@ -277,7 +277,7 @@ pub fn built_in_strategy_manual() -> StrategyAiManual {
ManualField { name: "latest_symbol_open_order_status/latest_symbol_open_order_unfilled_qty".to_string(), field_type: "string/int".to_string(), detail: "当前证券最近一笔挂单的状态和未成交数量。".to_string() }, ManualField { name: "latest_symbol_open_order_status/latest_symbol_open_order_unfilled_qty".to_string(), field_type: "string/int".to_string(), detail: "当前证券最近一笔挂单的状态和未成交数量。".to_string() },
ManualField { name: "in_dynamic_universe/is_subscribed".to_string(), field_type: "bool".to_string(), detail: "当前证券是否在动态 universe 内,以及是否仍在订阅集合中。".to_string() }, ManualField { name: "in_dynamic_universe/is_subscribed".to_string(), field_type: "bool".to_string(), detail: "当前证券是否在动态 universe 内,以及是否仍在订阅集合中。".to_string() },
ManualField { name: "stock_ma5/stock_ma10/stock_ma20/stock_ma30".to_string(), field_type: "float".to_string(), detail: "个股价格均线内建别名,按当前交易日前 N 个已完成交易日的收盘价计算;历史窗口不足时为 NaN,比较条件会自然不通过;15 日、45 日等任意窗口请改用 sma(\"close\", n)。".to_string() }, ManualField { name: "stock_ma5/stock_ma10/stock_ma20/stock_ma30".to_string(), field_type: "float".to_string(), detail: "个股价格均线内建别名,按当前交易日前 N 个已完成交易日的收盘价计算;历史窗口不足时为 NaN,比较条件会自然不通过;15 日、45 日等任意窗口请改用 sma(\"close\", n)。".to_string() },
ManualField { name: "stock_volume_ma5/stock_volume_ma10/stock_volume_ma20/stock_volume_ma60".to_string(), field_type: "float".to_string(), detail: "个股成交量均线内建别名,按当前交易日前 N 个已完成交易日的成交量计算,不包含回测当天未来成交量;历史窗口不足时为 NaN,比较条件会自然不通过;任意窗口请改用 rolling_mean(\"volume\", n)。".to_string() }, ManualField { name: "stock_volume_ma5/stock_volume_ma10/stock_volume_ma20/stock_volume_ma60/stock_volume_ma100".to_string(), field_type: "float".to_string(), detail: "个股成交量均线内建别名,按当前交易日前 N 个已完成交易日的成交量计算,不包含回测当天未来成交量;历史窗口不足时为 NaN,比较条件会自然不通过;任意窗口请改用 rolling_mean(\"volume\", n)。".to_string() },
ManualField { name: "factors[\"field\"] / factor(\"field\")".to_string(), field_type: "float/string".to_string(), detail: "当前证券当日可用因子。默认可用字段以手册的“可用指标、参数和字段”清单为准;自定义因子需要预先写入策略数据或 extra_factors。数值字段返回数字,字符串字段返回字符串。".to_string() }, ManualField { name: "factors[\"field\"] / factor(\"field\")".to_string(), field_type: "float/string".to_string(), detail: "当前证券当日可用因子。默认可用字段以手册的“可用指标、参数和字段”清单为准;自定义因子需要预先写入策略数据或 extra_factors。数值字段返回数字,字符串字段返回字符串。".to_string() },
ManualField { name: "listed_days".to_string(), field_type: "int".to_string(), detail: "上市天数。".to_string() }, ManualField { name: "listed_days".to_string(), field_type: "int".to_string(), detail: "上市天数。".to_string() },
], ],
+22 -1
View File
@@ -23,6 +23,7 @@ fn candidate() -> CandidateEligibility {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
} }
} }
@@ -175,7 +176,7 @@ fn china_rule_hooks_block_buy_at_limit_up_and_sell_at_limit_down() {
} }
#[test] #[test]
fn china_rule_hooks_use_tick_size_tolerance_for_price_limits() { fn china_rule_hooks_use_strict_price_limits() {
let hooks = ChinaEquityRuleHooks; let hooks = ChinaEquityRuleHooks;
let candidate = candidate(); let candidate = candidate();
@@ -184,6 +185,13 @@ fn china_rule_hooks_use_tick_size_tolerance_for_price_limits() {
..snapshot(10.9995, 11.0, 9.0) ..snapshot(10.9995, 11.0, 9.0)
}; };
let buy_check = hooks.can_buy(d(2024, 1, 3), &near_upper, &candidate, PriceField::Open); let buy_check = hooks.can_buy(d(2024, 1, 3), &near_upper, &candidate, PriceField::Open);
assert!(buy_check.allowed);
let exact_upper = DailyMarketSnapshot {
price_tick: 0.001,
..snapshot(11.0, 11.0, 9.0)
};
let buy_check = hooks.can_buy(d(2024, 1, 3), &exact_upper, &candidate, PriceField::Open);
assert!(!buy_check.allowed); assert!(!buy_check.allowed);
let near_lower = DailyMarketSnapshot { let near_lower = DailyMarketSnapshot {
@@ -199,6 +207,19 @@ fn china_rule_hooks_use_tick_size_tolerance_for_price_limits() {
&position, &position,
PriceField::Open, PriceField::Open,
); );
assert!(sell_check.allowed);
let exact_lower = DailyMarketSnapshot {
price_tick: 0.001,
..snapshot(9.0, 11.0, 9.0)
};
let sell_check = hooks.can_sell(
d(2024, 1, 3),
&exact_lower,
&candidate,
&position,
PriceField::Open,
);
assert!(!sell_check.allowed); assert!(!sell_check.allowed);
} }
@@ -221,6 +221,7 @@ fn engine_reinvests_dividend_receivable_in_round_lots() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: ex_date, date: ex_date,
@@ -232,6 +233,7 @@ fn engine_reinvests_dividend_receivable_in_round_lots() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: payable_date, date: payable_date,
@@ -243,6 +245,7 @@ fn engine_reinvests_dividend_receivable_in_round_lots() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
], ],
vec![ vec![
@@ -0,0 +1,646 @@
use chrono::{Duration, NaiveDate, NaiveTime};
use fidc_core::{
BacktestConfig, BacktestEngine, BenchmarkSnapshot, BrokerSimulator, CandidateEligibility,
ChinaAShareCostModel, ChinaEquityRuleHooks, DailyFactorSnapshot, DailyMarketSnapshot, DataSet,
IntradayExecutionQuote, MatchingType, OrderIntent, PriceField, Strategy, StrategyContext,
StrategyDecision,
};
use std::sync::{Arc, Mutex};
fn d(year: i32, month: u32, day: u32) -> NaiveDate {
NaiveDate::from_ymd_opt(year, month, day).expect("valid date")
}
fn t(hour: u32, minute: u32, second: u32) -> NaiveTime {
NaiveTime::from_hms_opt(hour, minute, second).expect("valid time")
}
#[derive(Default)]
struct DecisionQuoteReader {
day_count: usize,
}
impl Strategy for DecisionQuoteReader {
fn name(&self) -> &str {
"decision_quote_reader"
}
fn decision_quote_times(&self) -> Vec<NaiveTime> {
vec![t(10, 40, 0)]
}
fn on_day(
&mut self,
ctx: &StrategyContext<'_>,
) -> Result<StrategyDecision, fidc_core::BacktestError> {
self.day_count += 1;
if self.day_count == 1 {
return Ok(StrategyDecision {
order_intents: vec![OrderIntent::Value {
symbol: "000001.SZ".to_string(),
value: 5_000.0,
reason: "seed_position".to_string(),
}],
..StrategyDecision::default()
});
}
assert!(
ctx.portfolio.position("000001.SZ").is_some(),
"second day should carry the first day position"
);
let quote_loaded_before_decision = ctx
.data
.execution_quotes_on(ctx.execution_date, "000001.SZ")
.iter()
.any(|quote| quote.timestamp.time() == t(10, 39, 59) && quote.last_price == 11.0);
assert!(
quote_loaded_before_decision,
"engine must load declared decision quote before strategy.on_day"
);
Ok(StrategyDecision::default())
}
}
#[test]
fn engine_preloads_declared_decision_quotes_for_current_positions() {
let first = d(2026, 1, 5);
let second = d(2026, 1, 6);
let data = DataSet::from_components(
Vec::new(),
vec![
DailyMarketSnapshot {
date: first,
symbol: "000001.SZ".to_string(),
timestamp: Some("2026-01-05 15:00:00".to_string()),
day_open: 10.0,
open: 10.0,
high: 10.2,
low: 9.9,
close: 10.0,
last_price: 10.0,
bid1: 10.0,
ask1: 10.0,
prev_close: 9.8,
volume: 10_000,
tick_volume: 1_000,
bid1_volume: 10_000,
ask1_volume: 10_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 10.78,
lower_limit: 8.82,
price_tick: 0.01,
},
DailyMarketSnapshot {
date: second,
symbol: "000001.SZ".to_string(),
timestamp: Some("2026-01-06 15:00:00".to_string()),
day_open: 10.5,
open: 10.5,
high: 11.2,
low: 10.4,
close: 10.6,
last_price: 10.6,
bid1: 10.6,
ask1: 10.6,
prev_close: 10.0,
volume: 10_000,
tick_volume: 1_000,
bid1_volume: 10_000,
ask1_volume: 10_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 11.0,
lower_limit: 9.0,
price_tick: 0.01,
},
],
vec![
DailyFactorSnapshot {
date: first,
symbol: "000001.SZ".to_string(),
market_cap_bn: 10.0,
free_float_cap_bn: 10.0,
pe_ttm: 10.0,
turnover_ratio: None,
effective_turnover_ratio: None,
extra_factors: Default::default(),
},
DailyFactorSnapshot {
date: second,
symbol: "000001.SZ".to_string(),
market_cap_bn: 10.0,
free_float_cap_bn: 10.0,
pe_ttm: 10.0,
turnover_ratio: None,
effective_turnover_ratio: None,
extra_factors: Default::default(),
},
],
vec![
CandidateEligibility {
date: first,
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,
risk_level_code: None,
},
CandidateEligibility {
date: second,
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,
risk_level_code: None,
},
],
vec![
BenchmarkSnapshot {
date: first,
benchmark: "000852.SH".to_string(),
open: 1000.0,
close: 1000.0,
prev_close: 990.0,
volume: 1_000_000,
},
BenchmarkSnapshot {
date: second,
benchmark: "000852.SH".to_string(),
open: 1000.0,
close: 1001.0,
prev_close: 1000.0,
volume: 1_000_000,
},
],
)
.expect("dataset");
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks,
PriceField::Last,
)
.with_matching_type(MatchingType::NextTickLast)
.with_intraday_execution_start_time(t(10, 40, 0));
let config = BacktestConfig {
initial_cash: 10_000.0,
benchmark_code: "000852.SH".to_string(),
start_date: Some(first),
end_date: Some(second),
decision_lag_trading_days: 0,
execution_price_field: PriceField::Last,
};
let mut engine = BacktestEngine::new(data, DecisionQuoteReader::default(), broker, config)
.with_execution_quote_loader(move |request| {
assert_eq!(
request.end_time, None,
"decision quote preload must request latest quote at or before start_time"
);
Ok(request
.symbols
.into_iter()
.map(|symbol| IntradayExecutionQuote {
date: request.date,
symbol,
timestamp: request.date.and_time(t(10, 39, 59)),
last_price: if request.date == second { 11.0 } else { 10.0 },
bid1: if request.date == second { 11.0 } else { 10.0 },
ask1: if request.date == second { 11.0 } else { 10.0 },
bid1_volume: 10_000,
ask1_volume: 10_000,
volume_delta: 10_000,
amount_delta: 100_000.0,
trading_phase: Some("continuous".to_string()),
})
.collect())
});
engine.run().expect("backtest should run");
}
#[test]
fn engine_reuses_preloaded_decision_quotes_without_loader_call() {
let first = d(2026, 1, 5);
let second = d(2026, 1, 6);
let data = DataSet::from_components_with_actions_and_quotes(
Vec::new(),
vec![
DailyMarketSnapshot {
date: first,
symbol: "000001.SZ".to_string(),
timestamp: Some("2026-01-05 15:00:00".to_string()),
day_open: 10.0,
open: 10.0,
high: 10.2,
low: 9.9,
close: 10.0,
last_price: 10.0,
bid1: 10.0,
ask1: 10.0,
prev_close: 9.8,
volume: 10_000,
tick_volume: 1_000,
bid1_volume: 10_000,
ask1_volume: 10_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 10.78,
lower_limit: 8.82,
price_tick: 0.01,
},
DailyMarketSnapshot {
date: second,
symbol: "000001.SZ".to_string(),
timestamp: Some("2026-01-06 15:00:00".to_string()),
day_open: 10.5,
open: 10.5,
high: 11.2,
low: 10.4,
close: 10.6,
last_price: 10.6,
bid1: 10.6,
ask1: 10.6,
prev_close: 10.0,
volume: 10_000,
tick_volume: 1_000,
bid1_volume: 10_000,
ask1_volume: 10_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 11.0,
lower_limit: 9.0,
price_tick: 0.01,
},
],
vec![
DailyFactorSnapshot {
date: first,
symbol: "000001.SZ".to_string(),
market_cap_bn: 10.0,
free_float_cap_bn: 10.0,
pe_ttm: 10.0,
turnover_ratio: None,
effective_turnover_ratio: None,
extra_factors: Default::default(),
},
DailyFactorSnapshot {
date: second,
symbol: "000001.SZ".to_string(),
market_cap_bn: 10.0,
free_float_cap_bn: 10.0,
pe_ttm: 10.0,
turnover_ratio: None,
effective_turnover_ratio: None,
extra_factors: Default::default(),
},
],
vec![
CandidateEligibility {
date: first,
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,
risk_level_code: None,
},
CandidateEligibility {
date: second,
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,
risk_level_code: None,
},
],
vec![
BenchmarkSnapshot {
date: first,
benchmark: "000852.SH".to_string(),
open: 1000.0,
close: 1000.0,
prev_close: 990.0,
volume: 1_000_000,
},
BenchmarkSnapshot {
date: second,
benchmark: "000852.SH".to_string(),
open: 1000.0,
close: 1001.0,
prev_close: 1000.0,
volume: 1_000_000,
},
],
Vec::new(),
vec![
IntradayExecutionQuote {
date: first,
symbol: "000001.SZ".to_string(),
timestamp: first.and_time(t(10, 39, 59)),
last_price: 10.0,
bid1: 10.0,
ask1: 10.0,
bid1_volume: 10_000,
ask1_volume: 10_000,
volume_delta: 10_000,
amount_delta: 100_000.0,
trading_phase: Some("continuous".to_string()),
},
IntradayExecutionQuote {
date: second,
symbol: "000001.SZ".to_string(),
timestamp: second.and_time(t(10, 39, 59)),
last_price: 11.0,
bid1: 11.0,
ask1: 11.0,
bid1_volume: 10_000,
ask1_volume: 10_000,
volume_delta: 10_000,
amount_delta: 100_000.0,
trading_phase: Some("continuous".to_string()),
},
],
)
.expect("dataset");
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks,
PriceField::Last,
)
.with_matching_type(MatchingType::NextTickLast)
.with_intraday_execution_start_time(t(10, 40, 0));
let config = BacktestConfig {
initial_cash: 10_000.0,
benchmark_code: "000852.SH".to_string(),
start_date: Some(first),
end_date: Some(second),
decision_lag_trading_days: 0,
execution_price_field: PriceField::Last,
};
let loader_calls = Arc::new(Mutex::new(0usize));
let captured_loader_calls = Arc::clone(&loader_calls);
let mut engine = BacktestEngine::new(data, DecisionQuoteReader::default(), broker, config)
.with_execution_quote_loader(move |_| {
*captured_loader_calls.lock().expect("loader mutex") += 1;
Ok(Vec::new())
});
engine.run().expect("backtest should run");
assert_eq!(
*loader_calls.lock().expect("loader mutex"),
0,
"preloaded execution quotes should satisfy decision-time quote requests"
);
}
#[derive(Default)]
struct MultiTimeDecisionQuoteReader {
day_count: usize,
}
impl Strategy for MultiTimeDecisionQuoteReader {
fn name(&self) -> &str {
"multi_time_decision_quote_reader"
}
fn decision_quote_times(&self) -> Vec<NaiveTime> {
vec![t(10, 31, 0), t(10, 40, 0)]
}
fn on_day(
&mut self,
ctx: &StrategyContext<'_>,
) -> Result<StrategyDecision, fidc_core::BacktestError> {
self.day_count += 1;
if self.day_count == 1 {
return Ok(StrategyDecision {
order_intents: vec![OrderIntent::Value {
symbol: "000001.SZ".to_string(),
value: 5_000.0,
reason: "seed_position".to_string(),
}],
..StrategyDecision::default()
});
}
let quote_times = ctx
.data
.execution_quotes_on(ctx.execution_date, "000001.SZ")
.iter()
.map(|quote| quote.timestamp.time())
.collect::<Vec<_>>();
assert!(
quote_times.contains(&t(10, 30, 59)),
"10:31 decision quote must be loaded"
);
assert!(
quote_times.contains(&t(10, 39, 59)),
"10:40 decision quote must not be skipped because 10:31 was loaded"
);
Ok(StrategyDecision::default())
}
}
#[test]
fn engine_loads_distinct_decision_quote_times_on_same_day() {
let first = d(2026, 1, 5);
let second = d(2026, 1, 6);
let data = DataSet::from_components(
Vec::new(),
vec![
DailyMarketSnapshot {
date: first,
symbol: "000001.SZ".to_string(),
timestamp: Some("2026-01-05 15:00:00".to_string()),
day_open: 10.0,
open: 10.0,
high: 10.2,
low: 9.9,
close: 10.0,
last_price: 10.0,
bid1: 10.0,
ask1: 10.0,
prev_close: 9.8,
volume: 10_000,
tick_volume: 1_000,
bid1_volume: 10_000,
ask1_volume: 10_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 10.78,
lower_limit: 8.82,
price_tick: 0.01,
},
DailyMarketSnapshot {
date: second,
symbol: "000001.SZ".to_string(),
timestamp: Some("2026-01-06 15:00:00".to_string()),
day_open: 10.5,
open: 10.5,
high: 11.2,
low: 10.4,
close: 10.6,
last_price: 10.6,
bid1: 10.6,
ask1: 10.6,
prev_close: 10.0,
volume: 10_000,
tick_volume: 1_000,
bid1_volume: 10_000,
ask1_volume: 10_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 11.0,
lower_limit: 9.0,
price_tick: 0.01,
},
],
vec![
DailyFactorSnapshot {
date: first,
symbol: "000001.SZ".to_string(),
market_cap_bn: 10.0,
free_float_cap_bn: 10.0,
pe_ttm: 10.0,
turnover_ratio: None,
effective_turnover_ratio: None,
extra_factors: Default::default(),
},
DailyFactorSnapshot {
date: second,
symbol: "000001.SZ".to_string(),
market_cap_bn: 10.0,
free_float_cap_bn: 10.0,
pe_ttm: 10.0,
turnover_ratio: None,
effective_turnover_ratio: None,
extra_factors: Default::default(),
},
],
vec![
CandidateEligibility {
date: first,
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,
risk_level_code: None,
},
CandidateEligibility {
date: second,
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,
risk_level_code: None,
},
],
vec![
BenchmarkSnapshot {
date: first,
benchmark: "000852.SH".to_string(),
open: 1000.0,
close: 1000.0,
prev_close: 990.0,
volume: 1_000_000,
},
BenchmarkSnapshot {
date: second,
benchmark: "000852.SH".to_string(),
open: 1000.0,
close: 1001.0,
prev_close: 1000.0,
volume: 1_000_000,
},
],
)
.expect("dataset");
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks,
PriceField::Last,
)
.with_matching_type(MatchingType::NextTickLast)
.with_intraday_execution_start_time(t(10, 40, 0));
let config = BacktestConfig {
initial_cash: 10_000.0,
benchmark_code: "000852.SH".to_string(),
start_date: Some(first),
end_date: Some(second),
decision_lag_trading_days: 0,
execution_price_field: PriceField::Last,
};
let requests = Arc::new(Mutex::new(Vec::<(NaiveDate, NaiveTime)>::new()));
let captured_requests = Arc::clone(&requests);
let mut engine = BacktestEngine::new(
data,
MultiTimeDecisionQuoteReader::default(),
broker,
config,
)
.with_execution_quote_loader(move |request| {
let start_time = request
.start_time
.expect("decision quote loader request must include start_time");
captured_requests
.lock()
.expect("request mutex")
.push((request.date, start_time));
Ok(request
.symbols
.into_iter()
.map(|symbol| IntradayExecutionQuote {
date: request.date,
symbol,
timestamp: request.date.and_time(start_time) - Duration::seconds(1),
last_price: 10.0,
bid1: 10.0,
ask1: 10.0,
bid1_volume: 10_000,
ask1_volume: 10_000,
volume_delta: 10_000,
amount_delta: 100_000.0,
trading_phase: Some("continuous".to_string()),
})
.collect())
});
engine.run().expect("backtest should run");
let requests = requests.lock().expect("request mutex").clone();
assert!(
requests.contains(&(second, t(10, 31, 0))),
"second-day 10:31 quote request is required"
);
assert!(
requests.contains(&(second, t(10, 40, 0))),
"second-day 10:40 quote request must not be skipped by earlier quote"
);
}
+6
View File
@@ -180,6 +180,7 @@ fn engine_settles_delisted_position_before_missing_market_snapshot_breaks_run()
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: date1, date: date1,
@@ -191,6 +192,7 @@ fn engine_settles_delisted_position_before_missing_market_snapshot_breaks_run()
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: date2, date: date2,
@@ -202,6 +204,7 @@ fn engine_settles_delisted_position_before_missing_market_snapshot_breaks_run()
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
], ],
vec![ vec![
@@ -400,6 +403,7 @@ fn engine_applies_successor_conversion_before_delisted_cash_settlement() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: date1, date: date1,
@@ -411,6 +415,7 @@ fn engine_applies_successor_conversion_before_delisted_cash_settlement() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: date2, date: date2,
@@ -422,6 +427,7 @@ fn engine_applies_successor_conversion_before_delisted_cash_settlement() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
], ],
vec![ vec![
+22
View File
@@ -87,6 +87,7 @@ fn single_day_anchor_data(date: NaiveDate) -> DataSet {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -154,6 +155,7 @@ fn candidate_row(date: NaiveDate, symbol: &str) -> CandidateEligibility {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
} }
} }
@@ -1116,6 +1118,7 @@ fn engine_runs_strategy_hooks_in_daily_order() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: date2, date: date2,
@@ -1127,6 +1130,7 @@ fn engine_runs_strategy_hooks_in_daily_order() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
], ],
vec![ vec![
@@ -1273,6 +1277,7 @@ fn engine_executes_open_auction_decisions_before_on_day() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -1371,6 +1376,7 @@ fn engine_executes_futures_order_intents_against_future_account() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -1960,6 +1966,7 @@ fn engine_runs_subscribed_tick_hooks_and_executes_tick_orders() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -2143,6 +2150,7 @@ fn strategy_context_exposes_engine_native_data_helpers() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}) })
.collect::<Vec<_>>(); .collect::<Vec<_>>();
let benchmarks = [ let benchmarks = [
@@ -2302,6 +2310,7 @@ fn strategy_context_exposes_final_order_runtime_view() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -2555,6 +2564,7 @@ fn engine_applies_account_cash_flow_and_financing_intents() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: date2, date: date2,
@@ -2566,6 +2576,7 @@ fn engine_applies_account_cash_flow_and_financing_intents() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
], ],
vec![ vec![
@@ -2737,6 +2748,7 @@ fn engine_rejects_pending_limit_orders_at_market_close() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: date2, date: date2,
@@ -2748,6 +2760,7 @@ fn engine_rejects_pending_limit_orders_at_market_close() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
], ],
vec![ vec![
@@ -2938,6 +2951,7 @@ fn engine_runs_scheduled_rules_for_daily_weekly_and_monthly_triggers() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: date2, date: date2,
@@ -2949,6 +2963,7 @@ fn engine_runs_scheduled_rules_for_daily_weekly_and_monthly_triggers() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: date3, date: date3,
@@ -2960,6 +2975,7 @@ fn engine_runs_scheduled_rules_for_daily_weekly_and_monthly_triggers() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
], ],
vec![ vec![
@@ -3184,6 +3200,7 @@ fn engine_dispatches_process_events_to_external_bus_listeners() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: date2, date: date2,
@@ -3195,6 +3212,7 @@ fn engine_dispatches_process_events_to_external_bus_listeners() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: date3, date: date3,
@@ -3206,6 +3224,7 @@ fn engine_dispatches_process_events_to_external_bus_listeners() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
], ],
vec![ vec![
@@ -3538,6 +3557,7 @@ fn engine_applies_dynamic_universe_and_subscription_directives() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: *date, date: *date,
@@ -3549,6 +3569,7 @@ fn engine_applies_dynamic_universe_and_subscription_directives() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
] ]
}) })
@@ -3671,6 +3692,7 @@ fn engine_exposes_current_process_context_to_strategies() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -61,6 +61,7 @@ fn order_value_rounding_data(date: NaiveDate, symbol: &str, price: f64) -> DataS
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -165,6 +166,7 @@ fn broker_executes_explicit_order_value_buy() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -314,6 +316,7 @@ fn broker_delayed_limit_open_sell_uses_tick_price() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -445,6 +448,7 @@ fn broker_executes_order_shares_and_order_lots() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -570,6 +574,7 @@ fn broker_executes_target_shares_like_order_to() {
allow_buy: true, allow_buy: true,
allow_sell: true, allow_sell: true,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -726,6 +731,7 @@ fn broker_executes_target_portfolio_smart_with_custom_prices() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date, date,
@@ -737,6 +743,7 @@ fn broker_executes_target_portfolio_smart_with_custom_prices() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
], ],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
@@ -867,6 +874,7 @@ fn broker_executes_target_portfolio_smart_with_algo_order_style() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -1007,6 +1015,7 @@ fn broker_executes_order_percent_and_target_percent() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -1127,6 +1136,7 @@ fn broker_uses_day_open_price_for_open_auction_matching() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -1230,6 +1240,7 @@ fn broker_open_auction_uses_auction_volume_without_quote_liquidity() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -1330,6 +1341,7 @@ fn broker_cancels_buy_when_open_hits_upper_limit() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -1442,6 +1454,7 @@ fn broker_applies_price_ratio_slippage_on_snapshot_fills() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -1541,6 +1554,7 @@ fn broker_applies_dynamic_slippage_on_snapshot_fills() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -1645,6 +1659,7 @@ fn broker_applies_tick_size_slippage_on_intraday_last_fills() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -1701,6 +1716,9 @@ fn broker_applies_tick_size_slippage_on_intraday_last_fills() {
assert_eq!(report.fill_events.len(), 1); assert_eq!(report.fill_events.len(), 1);
assert!((report.fill_events[0].price - 10.02).abs() < 1e-9); assert!((report.fill_events[0].price - 10.02).abs() < 1e-9);
let position = portfolio.position("000002.SZ").expect("position");
assert!((position.last_price - 10.0).abs() < 1e-9);
assert!((position.market_value() - position.quantity as f64 * 10.0).abs() < 1e-6);
} }
#[test] #[test]
@@ -1759,6 +1777,7 @@ fn broker_rejects_intraday_last_order_without_execution_quotes() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -1865,6 +1884,7 @@ fn broker_executes_intraday_last_on_start_quote_without_trade_delta() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -1980,6 +2000,7 @@ fn broker_cancels_market_order_remainder_when_intraday_quote_liquidity_exhausted
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -2107,6 +2128,7 @@ fn broker_cancels_market_buy_when_tick_has_no_volume() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -2210,6 +2232,7 @@ fn broker_splits_intraday_quote_fills_and_tracks_commission_by_order() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -2370,6 +2393,7 @@ fn broker_aggregates_intraday_quote_fills_into_vwap_leg() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -2514,6 +2538,7 @@ fn broker_executes_algo_vwap_value_with_time_window() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -2671,6 +2696,7 @@ fn broker_executes_algo_twap_percent_across_window_quotes() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -2830,6 +2856,7 @@ fn broker_uses_best_own_price_for_intraday_matching() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -2944,6 +2971,7 @@ fn broker_uses_best_counterparty_price_for_intraday_matching() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -3108,6 +3136,7 @@ fn rebalance_optimizer_skips_unfunded_buy_when_existing_position_cannot_sell() {
allow_sell: false, allow_sell: false,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date, date,
@@ -3119,6 +3148,7 @@ fn rebalance_optimizer_skips_unfunded_buy_when_existing_position_cannot_sell() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
], ],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
@@ -3295,6 +3325,7 @@ fn rebalance_uses_prev_close_for_open_auction_valuation() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date, date,
@@ -3306,6 +3337,7 @@ fn rebalance_uses_prev_close_for_open_auction_valuation() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
], ],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
@@ -3476,6 +3508,7 @@ fn rebalance_optimizer_prioritizes_higher_target_weight_when_cash_is_tight() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date, date,
@@ -3487,6 +3520,7 @@ fn rebalance_optimizer_prioritizes_higher_target_weight_when_cash_is_tight() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
], ],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
@@ -3612,6 +3646,7 @@ fn broker_uses_board_specific_min_quantity_and_step_size_for_buy_sizing() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -3710,6 +3745,7 @@ fn broker_allows_bjse_quantities_above_minimum_without_round_lot_step() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -3810,6 +3846,7 @@ fn broker_allows_full_odd_lot_sell_when_liquidating_position() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,
@@ -3924,6 +3961,7 @@ fn same_day_sell_then_rebuy_reinserts_position_at_end() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}) })
.collect::<Vec<_>>(); .collect::<Vec<_>>();
let data = DataSet::from_components( let data = DataSet::from_components(
@@ -4091,6 +4129,7 @@ fn two_day_limit_order_data(day1_open: f64, day2_open: f64) -> DataSet {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
CandidateEligibility { CandidateEligibility {
date: day2, date: day2,
@@ -4102,6 +4141,7 @@ fn two_day_limit_order_data(day1_open: f64, day2_open: f64) -> DataSet {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}, },
], ],
vec![ vec![
@@ -4234,6 +4274,50 @@ fn broker_uses_limit_price_slippage_for_limit_orders() {
assert!((report.fill_events[0].price - 10.1).abs() < 1e-9); assert!((report.fill_events[0].price - 10.1).abs() < 1e-9);
} }
#[test]
fn broker_rejects_limit_buy_when_final_execution_price_reaches_upper_limit() {
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();
let data = two_day_limit_order_data(10.0, 10.2);
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks::default(),
PriceField::Open,
)
.with_slippage_model(SlippageModel::LimitPrice);
let mut portfolio = PortfolioState::new(1_000_000.0);
let report = broker
.execute(
date,
&mut portfolio,
&data,
&StrategyDecision {
rebalance: false,
target_weights: BTreeMap::new(),
exit_symbols: BTreeSet::new(),
order_intents: vec![OrderIntent::LimitShares {
symbol: "000002.SZ".to_string(),
quantity: 200,
limit_price: 11.0,
reason: "limit_entry_at_upper_limit".to_string(),
}],
notes: Vec::new(),
diagnostics: Vec::new(),
},
)
.expect("broker execution");
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("open at or above upper limit")
);
assert!(portfolio.position("000002.SZ").is_none());
}
#[test] #[test]
fn broker_executes_limit_value_and_limit_percent_intents() { fn broker_executes_limit_value_and_limit_percent_intents() {
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap(); let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();
@@ -4455,6 +4539,7 @@ fn broker_reserves_sellable_quantity_for_open_limit_sells() {
allow_sell: true, allow_sell: true,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
}], }],
vec![BenchmarkSnapshot { vec![BenchmarkSnapshot {
date, date,