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58 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
15 changed files with 6794 additions and 735 deletions
+448 -11
View File
@@ -908,6 +908,29 @@ where
commission_state, commission_state,
report, report,
), ),
OrderIntent::TimedTargetValue {
symbol,
target_value,
style,
start_time,
end_time,
reason,
} => self.process_timed_target_value(
date,
portfolio,
data,
symbol,
*target_value,
*style,
*start_time,
*end_time,
reason,
intraday_turnover,
execution_cursors,
global_execution_cursor,
commission_state,
report,
),
OrderIntent::LimitTargetValue { OrderIntent::LimitTargetValue {
symbol, symbol,
target_value, target_value,
@@ -2030,6 +2053,34 @@ where
} }
} }
fn aiquant_order_limit_check_price(
&self,
date: NaiveDate,
data: &DataSet,
symbol: &str,
snapshot: &crate::data::DailyMarketSnapshot,
side: OrderSide,
algo_request: Option<&AlgoExecutionRequest>,
) -> f64 {
let matching_type = self.matching_type_for_algo_request(algo_request);
let start_cursor = algo_request
.and_then(|request| request.start_time)
.or(self.runtime_intraday_start_time.get())
.or(self.intraday_execution_start_time)
.map(|start_time| date.and_time(start_time));
self.latest_known_quote_at_or_before(
data.execution_quotes_on(date, symbol),
start_cursor,
snapshot,
side,
matching_type,
false,
)
.and_then(|quote| self.select_quote_reference_price(snapshot, quote, side, matching_type))
.unwrap_or_else(|| self.aiquant_limit_check_price(snapshot, side))
}
#[cfg(test)]
fn buy_rule_check( fn buy_rule_check(
&self, &self,
date: NaiveDate, date: NaiveDate,
@@ -2059,16 +2110,68 @@ where
RuleCheck::allow() RuleCheck::allow()
} }
fn sell_rule_check( fn buy_rule_check_for_order(
&self, &self,
date: NaiveDate, date: NaiveDate,
data: &DataSet,
symbol: &str,
snapshot: &crate::data::DailyMarketSnapshot,
candidate: &crate::data::CandidateEligibility,
instrument: Option<&Instrument>,
algo_request: Option<&AlgoExecutionRequest>,
) -> RuleCheck {
let check_price = if self.aiquant_rqalpha_execution_rules {
self.aiquant_order_limit_check_price(
date,
data,
symbol,
snapshot,
OrderSide::Buy,
algo_request,
)
} else {
ChinaAShareRiskControl::buy_check_price(snapshot, self.execution_price_field)
};
if let Some(reason) = ChinaAShareRiskControl::buy_rejection_reason(
date,
candidate,
snapshot,
instrument,
check_price,
) {
return RuleCheck::reject(reason);
}
if !self.aiquant_rqalpha_execution_rules {
return self
.rules
.can_buy(date, snapshot, candidate, self.execution_price_field);
}
RuleCheck::allow()
}
fn sell_rule_check_for_order(
&self,
date: NaiveDate,
data: &DataSet,
symbol: &str,
snapshot: &crate::data::DailyMarketSnapshot, snapshot: &crate::data::DailyMarketSnapshot,
candidate: &crate::data::CandidateEligibility, candidate: &crate::data::CandidateEligibility,
instrument: Option<&Instrument>, instrument: Option<&Instrument>,
position: &crate::portfolio::Position, position: &crate::portfolio::Position,
algo_request: Option<&AlgoExecutionRequest>,
) -> RuleCheck { ) -> RuleCheck {
if !self.aiquant_rqalpha_execution_rules && !candidate.allow_sell {
return RuleCheck::reject("sell_disabled");
}
let check_price = if self.aiquant_rqalpha_execution_rules { let check_price = if self.aiquant_rqalpha_execution_rules {
self.aiquant_limit_check_price(snapshot, OrderSide::Sell) self.aiquant_order_limit_check_price(
date,
data,
symbol,
snapshot,
OrderSide::Sell,
algo_request,
)
} else { } else {
ChinaAShareRiskControl::sell_check_price(snapshot, self.execution_price_field) ChinaAShareRiskControl::sell_check_price(snapshot, self.execution_price_field)
}; };
@@ -2116,8 +2219,16 @@ where
let Ok(candidate) = data.require_candidate(date, symbol) else { let Ok(candidate) = data.require_candidate(date, symbol) else {
return current_qty; return current_qty;
}; };
let rule = let rule = self.sell_rule_check_for_order(
self.sell_rule_check(date, snapshot, candidate, data.instrument(symbol), position); date,
data,
symbol,
snapshot,
candidate,
data.instrument(symbol),
position,
None,
);
if !rule.allowed { if !rule.allowed {
return current_qty; return current_qty;
} }
@@ -2155,7 +2266,15 @@ where
let Ok(candidate) = data.require_candidate(date, symbol) else { let Ok(candidate) = data.require_candidate(date, symbol) else {
return current_qty; return current_qty;
}; };
let rule = self.buy_rule_check(date, snapshot, candidate, data.instrument(symbol)); let rule = self.buy_rule_check_for_order(
date,
data,
symbol,
snapshot,
candidate,
data.instrument(symbol),
None,
);
if !rule.allowed { if !rule.allowed {
return current_qty; return current_qty;
} }
@@ -2199,8 +2318,16 @@ where
let position = portfolio.position(symbol)?; let position = portfolio.position(symbol)?;
let snapshot = data.require_market(date, symbol).ok()?; let snapshot = data.require_market(date, symbol).ok()?;
let candidate = data.require_candidate(date, symbol).ok()?; let candidate = data.require_candidate(date, symbol).ok()?;
let rule = let rule = self.sell_rule_check_for_order(
self.sell_rule_check(date, snapshot, candidate, data.instrument(symbol), position); date,
data,
symbol,
snapshot,
candidate,
data.instrument(symbol),
position,
None,
);
if !rule.allowed { if !rule.allowed {
return rule.reason; return rule.reason;
} }
@@ -2240,7 +2367,15 @@ where
) -> Option<String> { ) -> Option<String> {
let snapshot = data.require_market(date, symbol).ok()?; let snapshot = data.require_market(date, symbol).ok()?;
let candidate = data.require_candidate(date, symbol).ok()?; let candidate = data.require_candidate(date, symbol).ok()?;
let rule = self.buy_rule_check(date, snapshot, candidate, data.instrument(symbol)); let rule = self.buy_rule_check_for_order(
date,
data,
symbol,
snapshot,
candidate,
data.instrument(symbol),
None,
);
if !rule.allowed { if !rule.allowed {
return rule.reason; return rule.reason;
} }
@@ -2310,8 +2445,16 @@ where
); );
} }
let rule = let rule = self.sell_rule_check_for_order(
self.sell_rule_check(date, snapshot, candidate, data.instrument(symbol), position); date,
data,
symbol,
snapshot,
candidate,
data.instrument(symbol),
position,
algo_request,
);
if !rule.allowed { if !rule.allowed {
let rule_reason = rule.reason.as_deref().unwrap_or_default().to_string(); let rule_reason = rule.reason.as_deref().unwrap_or_default().to_string();
let status = match rule.reason.as_deref() { let status = match rule.reason.as_deref() {
@@ -2891,6 +3034,118 @@ where
Ok(()) Ok(())
} }
#[allow(clippy::too_many_arguments)]
fn process_timed_target_value(
&self,
date: NaiveDate,
portfolio: &mut PortfolioState,
data: &DataSet,
symbol: &str,
target_value: f64,
style: AlgoOrderStyle,
start_time: Option<NaiveTime>,
end_time: Option<NaiveTime>,
reason: &str,
intraday_turnover: &mut BTreeMap<String, u32>,
execution_cursors: &mut BTreeMap<String, NaiveDateTime>,
global_execution_cursor: &mut Option<NaiveDateTime>,
commission_state: &mut BTreeMap<u64, f64>,
report: &mut BrokerExecutionReport,
) -> Result<(), BacktestError> {
let snapshot = data
.market(date, symbol)
.ok_or_else(|| BacktestError::MissingPrice {
date,
symbol: symbol.to_string(),
field: price_field_name(self.execution_price_field),
})?;
let current_qty = portfolio
.position(symbol)
.map(|pos| pos.quantity)
.unwrap_or(0);
let algo_request = AlgoExecutionRequest {
style: match style {
AlgoOrderStyle::Vwap => AlgoExecutionStyle::Vwap,
AlgoOrderStyle::Twap => AlgoExecutionStyle::Twap,
},
start_time,
end_time,
};
if target_value <= f64::EPSILON {
if current_qty == 0 {
report.order_events.push(OrderEvent {
date,
order_id: None,
symbol: symbol.to_string(),
side: OrderSide::Sell,
requested_quantity: 0,
filled_quantity: 0,
status: OrderStatus::Filled,
reason: format!("{reason}: already at target value"),
});
return Ok(());
}
self.process_sell(
date,
portfolio,
data,
symbol,
current_qty,
self.reserve_order_id(),
reason,
intraday_turnover,
execution_cursors,
global_execution_cursor,
commission_state,
None,
false,
true,
Some(&algo_request),
report,
)?;
return Ok(());
}
let valuation_price = self.target_value_valuation_price(date, data, symbol, snapshot);
let current_value = valuation_price * current_qty as f64;
let cash_delta = target_value.max(0.0) - current_value;
if cash_delta.abs() > f64::EPSILON {
self.process_algo_value(
date,
portfolio,
data,
symbol,
cash_delta,
style,
start_time,
end_time,
reason,
intraday_turnover,
execution_cursors,
global_execution_cursor,
commission_state,
report,
)?;
} else {
report.order_events.push(OrderEvent {
date,
order_id: None,
symbol: symbol.to_string(),
side: if current_qty > 0 {
OrderSide::Sell
} else {
OrderSide::Buy
},
requested_quantity: 0,
filled_quantity: 0,
status: OrderStatus::Filled,
reason: format!("{reason}: already at target value"),
});
}
Ok(())
}
fn process_target_shares( fn process_target_shares(
&self, &self,
date: NaiveDate, date: NaiveDate,
@@ -3765,7 +4020,15 @@ where
); );
} }
let rule = self.buy_rule_check(date, snapshot, candidate, data.instrument(symbol)); let rule = self.buy_rule_check_for_order(
date,
data,
symbol,
snapshot,
candidate,
data.instrument(symbol),
algo_request,
);
if !rule.allowed { if !rule.allowed {
let rule_reason = rule.reason.as_deref().unwrap_or_default().to_string(); let rule_reason = rule.reason.as_deref().unwrap_or_default().to_string();
let status = match rule.reason.as_deref() { let status = match rule.reason.as_deref() {
@@ -5137,6 +5400,7 @@ mod tests {
use crate::instrument::Instrument; use crate::instrument::Instrument;
use crate::portfolio::PortfolioState; use crate::portfolio::PortfolioState;
use crate::rules::ChinaEquityRuleHooks; use crate::rules::ChinaEquityRuleHooks;
use crate::strategy::AlgoOrderStyle;
fn limit_test_snapshot() -> DailyMarketSnapshot { fn limit_test_snapshot() -> DailyMarketSnapshot {
let date = chrono::NaiveDate::from_ymd_opt(2025, 1, 2).expect("valid date"); let date = chrono::NaiveDate::from_ymd_opt(2025, 1, 2).expect("valid date");
@@ -5194,6 +5458,7 @@ mod tests {
allow_sell, allow_sell,
is_kcb: false, is_kcb: false,
is_one_yuan: false, is_one_yuan: false,
risk_level_code: None,
} }
} }
@@ -5282,6 +5547,87 @@ mod tests {
); );
} }
#[test]
fn timed_target_value_zero_sells_full_position_at_requested_time_quote() {
let date = chrono::NaiveDate::from_ymd_opt(2025, 1, 2).expect("valid date");
let prev_date = chrono::NaiveDate::from_ymd_opt(2025, 1, 1).expect("valid date");
let symbol = "000001.SZ";
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks,
PriceField::Last,
)
.with_intraday_execution_start_time(date.and_hms_opt(10, 18, 0).unwrap().time())
.with_matching_type(MatchingType::NextTickLast)
.with_slippage_model(SlippageModel::PriceRatio(0.001))
.with_volume_limit(false)
.with_liquidity_limit(false);
let mut snapshot = limit_test_snapshot();
snapshot.symbol = symbol.to_string();
snapshot.last_price = 4.21;
snapshot.close = 4.21;
snapshot.bid1 = 4.20;
snapshot.ask1 = 4.22;
snapshot.prev_close = 4.15;
snapshot.upper_limit = 4.98;
snapshot.lower_limit = 3.32;
let mut quote_0931 = limit_test_quote(4.11, 4.10, 4.12);
quote_0931.symbol = symbol.to_string();
quote_0931.timestamp = date.and_hms_opt(9, 31, 0).expect("valid timestamp");
let mut quote_1018 = limit_test_quote(4.21, 4.20, 4.22);
quote_1018.symbol = symbol.to_string();
quote_1018.timestamp = date.and_hms_opt(10, 18, 0).expect("valid timestamp");
let data = DataSet::from_components_with_actions_and_quotes(
vec![limit_test_instrument()],
vec![snapshot],
Vec::new(),
vec![limit_test_candidate(true, true)],
vec![limit_test_benchmark()],
Vec::new(),
vec![quote_0931, quote_1018],
)
.expect("valid dataset");
let mut portfolio = PortfolioState::new(1_000_000.0);
portfolio.position_mut(symbol).buy(prev_date, 72_600, 4.0);
portfolio.apply_cash_delta(-290_400.0);
let mut report = BrokerExecutionReport::default();
broker
.process_timed_target_value(
date,
&mut portfolio,
&data,
symbol,
0.0,
AlgoOrderStyle::Twap,
Some(date.and_hms_opt(9, 31, 0).unwrap().time()),
Some(date.and_hms_opt(9, 31, 0).unwrap().time()),
"risk_forced_exit",
&mut BTreeMap::new(),
&mut BTreeMap::new(),
&mut None,
&mut BTreeMap::new(),
&mut report,
)
.expect("timed target value");
assert!(
!report.fill_events.is_empty(),
"order_events={:?}",
report.order_events
);
let fill = report.fill_events.last().expect("fill event");
assert_eq!(fill.quantity, 72_600);
assert!((fill.price - 4.10589).abs() < 1e-6, "{fill:?}");
assert_eq!(
portfolio
.position(symbol)
.map(|position| position.quantity)
.unwrap_or(0),
0
);
}
#[test] #[test]
fn aiquant_target_value_delta_uses_scheduled_mark_price() { fn aiquant_target_value_delta_uses_scheduled_mark_price() {
let date = chrono::NaiveDate::from_ymd_opt(2023, 5, 8).expect("valid date"); let date = chrono::NaiveDate::from_ymd_opt(2023, 5, 8).expect("valid date");
@@ -5361,6 +5707,7 @@ 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,
@@ -5773,4 +6120,94 @@ mod tests {
assert_eq!(fill.quantity, 0); assert_eq!(fill.quantity, 0);
assert_eq!(fill.unfilled_reason, Some("open at or below lower limit")); assert_eq!(fill.unfilled_reason, Some("open at or below lower limit"));
} }
#[test]
fn aiquant_sell_rule_uses_intraday_quote_when_daily_snapshot_is_stale_lower_limit() {
let date = chrono::NaiveDate::from_ymd_opt(2024, 4, 17).expect("valid date");
let prev_date = chrono::NaiveDate::from_ymd_opt(2024, 4, 16).expect("valid date");
let symbol = "000001.SZ";
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks,
PriceField::Last,
)
.with_aiquant_rqalpha_execution_rules(true)
.with_intraday_execution_start_time(date.and_hms_opt(10, 18, 0).unwrap().time())
.with_volume_limit(false)
.with_liquidity_limit(false)
.with_inactive_limit(false)
.with_slippage_model(SlippageModel::None);
let mut snapshot = limit_test_snapshot();
snapshot.date = date;
snapshot.timestamp = Some("2024-04-17 10:18:00".to_string());
snapshot.day_open = 9.0;
snapshot.open = 9.0;
snapshot.high = 10.0;
snapshot.low = 9.0;
snapshot.close = 9.9;
snapshot.last_price = 9.0;
snapshot.bid1 = 9.0;
snapshot.ask1 = 9.0;
snapshot.prev_close = 10.0;
snapshot.upper_limit = 11.0;
snapshot.lower_limit = 9.0;
let mut candidate = limit_test_candidate(true, false);
candidate.date = date;
let mut quote = limit_test_quote(10.0, 9.99, 10.0);
quote.date = date;
quote.timestamp = date.and_hms_opt(10, 18, 0).unwrap();
quote.last_price = 10.0;
quote.bid1 = 9.99;
quote.ask1 = 10.0;
let data = DataSet::from_components_with_actions_and_quotes(
vec![limit_test_instrument()],
vec![snapshot],
Vec::new(),
vec![candidate],
vec![BenchmarkSnapshot {
date,
benchmark: "000852.SH".to_string(),
open: 1000.0,
close: 1000.0,
prev_close: 1000.0,
volume: 1_000_000,
}],
Vec::new(),
vec![quote],
)
.expect("valid dataset");
let mut portfolio = PortfolioState::new(100.0);
portfolio.position_mut(symbol).buy(prev_date, 7_200, 8.48);
let mut report = BrokerExecutionReport::default();
broker
.process_target_value(
date,
&mut portfolio,
&data,
symbol,
0.0,
"stop_loss_exit",
&mut BTreeMap::new(),
&mut BTreeMap::new(),
&mut None,
&mut BTreeMap::new(),
&mut report,
)
.expect("target sell processed");
assert_eq!(report.fill_events.len(), 1);
assert_eq!(report.fill_events[0].quantity, 7_200);
assert!(portfolio.position(symbol).is_none());
assert!(
report
.order_events
.iter()
.all(|event| !event.reason.contains("open at or below lower limit")),
"{:?}",
report.order_events
);
}
} }
+448 -173
View File
@@ -1,6 +1,7 @@
use std::collections::{BTreeMap, HashMap, HashSet}; use std::collections::{BTreeMap, HashMap, HashSet};
use std::fs; use std::fs;
use std::path::Path; use std::path::Path;
use std::sync::{Arc, OnceLock, RwLock};
use chrono::{NaiveDate, NaiveDateTime}; use chrono::{NaiveDate, NaiveDateTime};
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
@@ -207,6 +208,8 @@ pub struct CandidateEligibility {
pub allow_sell: bool, pub allow_sell: bool,
pub is_kcb: bool, pub is_kcb: bool,
pub is_one_yuan: bool, pub is_one_yuan: bool,
#[serde(default)]
pub risk_level_code: Option<String>,
} }
impl CandidateEligibility { impl CandidateEligibility {
@@ -364,6 +367,17 @@ pub struct DailySnapshotBundle {
pub corporate_actions: Vec<CorporateAction>, pub corporate_actions: Vec<CorporateAction>,
} }
#[derive(Debug, Clone)]
pub struct DataSetSnapshotComponents {
pub instruments: Vec<Instrument>,
pub market: Vec<DailyMarketSnapshot>,
pub factors: Vec<DailyFactorSnapshot>,
pub candidates: Vec<CandidateEligibility>,
pub benchmarks: Vec<BenchmarkSnapshot>,
pub corporate_actions: Vec<CorporateAction>,
pub execution_quotes: Vec<IntradayExecutionQuote>,
}
#[derive(Debug, Clone, Serialize)] #[derive(Debug, Clone, Serialize)]
pub struct PriceBar { pub struct PriceBar {
#[serde(with = "date_format")] #[serde(with = "date_format")]
@@ -466,7 +480,17 @@ pub fn decision_adjusted_cap_bn(
raw_cap_bn * market.prev_close / market.close raw_cap_bn * market.prev_close / market.close
} }
fn factor_market_cap_is_decision_adjusted(factor: &DailyFactorSnapshot) -> bool {
factor
.extra_factors
.get("__market_cap_decision_adjusted")
.is_some_and(|value| value.is_finite() && *value > 0.0)
}
pub fn decision_market_cap_bn(factor: &DailyFactorSnapshot, market: &DailyMarketSnapshot) -> f64 { pub fn decision_market_cap_bn(factor: &DailyFactorSnapshot, market: &DailyMarketSnapshot) -> f64 {
if factor_market_cap_is_decision_adjusted(factor) {
return factor.market_cap_bn;
}
decision_adjusted_cap_bn(factor.date, factor.market_cap_bn, market) decision_adjusted_cap_bn(factor.date, factor.market_cap_bn, market)
} }
@@ -474,18 +498,35 @@ pub fn decision_free_float_cap_bn(
factor: &DailyFactorSnapshot, factor: &DailyFactorSnapshot,
market: &DailyMarketSnapshot, market: &DailyMarketSnapshot,
) -> f64 { ) -> f64 {
if factor_market_cap_is_decision_adjusted(factor) {
return factor.free_float_cap_bn;
}
decision_adjusted_cap_bn(factor.date, factor.free_float_cap_bn, market) decision_adjusted_cap_bn(factor.date, factor.free_float_cap_bn, market)
} }
#[derive(Debug, Clone)] #[derive(Debug, Clone)]
struct SymbolPriceSeries { struct SymbolPriceSeries {
snapshots: Vec<DailyMarketSnapshot>, symbol: String,
dates: Vec<NaiveDate>, dates: Vec<NaiveDate>,
timestamps: Vec<Option<String>>,
day_opens: Vec<f64>,
opens: Vec<f64>, opens: Vec<f64>,
highs: Vec<f64>,
lows: Vec<f64>,
closes: Vec<f64>, closes: Vec<f64>,
prev_closes: Vec<f64>, prev_closes: Vec<f64>,
last_prices: Vec<f64>, last_prices: Vec<f64>,
volumes: Vec<f64>, bid1s: Vec<f64>,
ask1s: Vec<f64>,
volumes: Vec<u64>,
tick_volumes: Vec<u64>,
bid1_volumes: Vec<u64>,
ask1_volumes: Vec<u64>,
trading_phases: Vec<Option<String>>,
paused: Vec<bool>,
upper_limits: Vec<f64>,
lower_limits: Vec<f64>,
price_ticks: Vec<f64>,
open_prefix: Vec<f64>, open_prefix: Vec<f64>,
close_prefix: Vec<f64>, close_prefix: Vec<f64>,
prev_close_prefix: Vec<f64>, prev_close_prefix: Vec<f64>,
@@ -494,33 +535,71 @@ struct SymbolPriceSeries {
} }
impl SymbolPriceSeries { impl SymbolPriceSeries {
fn new(rows: &[DailyMarketSnapshot]) -> Self { fn new<'a, I>(symbol: String, rows: I) -> Self
let mut sorted = rows.to_vec(); where
I: IntoIterator<Item = &'a DailyMarketSnapshot>,
{
let mut sorted = rows.into_iter().collect::<Vec<_>>();
sorted.sort_by_key(|row| row.date); sorted.sort_by_key(|row| row.date);
let dates = sorted.iter().map(|row| row.date).collect::<Vec<_>>(); let dates = sorted.iter().map(|row| row.date).collect::<Vec<_>>();
let timestamps = sorted
.iter()
.map(|row| row.timestamp.clone())
.collect::<Vec<_>>();
let day_opens = sorted.iter().map(|row| row.day_open).collect::<Vec<_>>();
let opens = sorted.iter().map(|row| row.open).collect::<Vec<_>>(); let opens = sorted.iter().map(|row| row.open).collect::<Vec<_>>();
let highs = sorted.iter().map(|row| row.high).collect::<Vec<_>>();
let lows = sorted.iter().map(|row| row.low).collect::<Vec<_>>();
let closes = sorted.iter().map(|row| row.close).collect::<Vec<_>>(); let closes = sorted.iter().map(|row| row.close).collect::<Vec<_>>();
let prev_closes = sorted.iter().map(|row| row.prev_close).collect::<Vec<_>>(); let prev_closes = sorted.iter().map(|row| row.prev_close).collect::<Vec<_>>();
let last_prices = sorted.iter().map(|row| row.last_price).collect::<Vec<_>>(); let last_prices = sorted.iter().map(|row| row.last_price).collect::<Vec<_>>();
let volumes = sorted let bid1s = sorted.iter().map(|row| row.bid1).collect::<Vec<_>>();
let ask1s = sorted.iter().map(|row| row.ask1).collect::<Vec<_>>();
let volumes = sorted.iter().map(|row| row.volume).collect::<Vec<_>>();
let tick_volumes = sorted.iter().map(|row| row.tick_volume).collect::<Vec<_>>();
let bid1_volumes = sorted.iter().map(|row| row.bid1_volume).collect::<Vec<_>>();
let ask1_volumes = sorted.iter().map(|row| row.ask1_volume).collect::<Vec<_>>();
let trading_phases = sorted
.iter() .iter()
.map(|row| row.volume as f64) .map(|row| row.trading_phase.clone())
.collect::<Vec<_>>(); .collect::<Vec<_>>();
let paused = sorted.iter().map(|row| row.paused).collect::<Vec<_>>();
let upper_limits = sorted.iter().map(|row| row.upper_limit).collect::<Vec<_>>();
let lower_limits = sorted.iter().map(|row| row.lower_limit).collect::<Vec<_>>();
let price_ticks = sorted.iter().map(|row| row.price_tick).collect::<Vec<_>>();
let open_prefix = prefix_sums(&opens); let open_prefix = prefix_sums(&opens);
let close_prefix = prefix_sums(&closes); let close_prefix = prefix_sums(&closes);
let prev_close_prefix = prefix_sums(&prev_closes); let prev_close_prefix = prefix_sums(&prev_closes);
let last_prefix = prefix_sums(&last_prices); let last_prefix = prefix_sums(&last_prices);
let volume_prefix = prefix_sums(&volumes); let volume_values = volumes
.iter()
.map(|value| *value as f64)
.collect::<Vec<_>>();
let volume_prefix = prefix_sums(&volume_values);
Self { Self {
snapshots: sorted, symbol,
dates, dates,
timestamps,
day_opens,
opens, opens,
highs,
lows,
closes, closes,
prev_closes, prev_closes,
last_prices, last_prices,
bid1s,
ask1s,
volumes, volumes,
tick_volumes,
bid1_volumes,
ask1_volumes,
trading_phases,
paused,
upper_limits,
lower_limits,
price_ticks,
open_prefix, open_prefix,
close_prefix, close_prefix,
prev_close_prefix, prev_close_prefix,
@@ -548,7 +627,7 @@ impl SymbolPriceSeries {
return Vec::new(); return Vec::new();
}; };
let start = end.saturating_sub(lookback); let start = end.saturating_sub(lookback);
self.values_for(field)[start..end].to_vec() self.price_values_for(field)[start..end].to_vec()
} }
fn trailing_snapshots( fn trailing_snapshots(
@@ -569,7 +648,31 @@ impl SymbolPriceSeries {
return Vec::new(); return Vec::new();
}; };
let start = end.saturating_sub(lookback); let start = end.saturating_sub(lookback);
self.snapshots[start..end].to_vec() (start..end).map(|index| self.snapshot_at(index)).collect()
}
fn trailing_numeric_values(
&self,
date: NaiveDate,
lookback: usize,
field: &str,
include_now: bool,
) -> Vec<f64> {
if lookback == 0 {
return Vec::new();
}
let end = if include_now {
self.end_index(date)
} else {
self.previous_completed_end_index(date)
};
let Some(end) = end else {
return Vec::new();
};
let start = end.saturating_sub(lookback);
(start..end)
.filter_map(|index| self.numeric_value_at(index, field))
.collect()
} }
fn decision_price_on_or_before(&self, date: NaiveDate) -> Option<f64> { fn decision_price_on_or_before(&self, date: NaiveDate) -> Option<f64> {
@@ -656,7 +759,12 @@ impl SymbolPriceSeries {
return None; return None;
} }
let start = end - lookback; let start = end - lookback;
Some(self.volumes[start..end].to_vec()) Some(
self.volumes[start..end]
.iter()
.map(|value| *value as f64)
.collect(),
)
} }
fn end_index(&self, date: NaiveDate) -> Option<usize> { fn end_index(&self, date: NaiveDate) -> Option<usize> {
@@ -667,9 +775,9 @@ impl SymbolPriceSeries {
} }
} }
fn values_for(&self, field: PriceField) -> &[f64] { fn price_values_for(&self, field: PriceField) -> &[f64] {
match field { match field {
PriceField::DayOpen => &self.opens, PriceField::DayOpen => &self.day_opens,
PriceField::Open => &self.opens, PriceField::Open => &self.opens,
PriceField::Close => &self.closes, PriceField::Close => &self.closes,
PriceField::Last => &self.last_prices, PriceField::Last => &self.last_prices,
@@ -681,15 +789,7 @@ impl SymbolPriceSeries {
if end == 0 { if end == 0 {
return None; return None;
} }
self.values_for(field).get(end - 1).copied() self.price_values_for(field).get(end - 1).copied()
}
fn snapshot_before(&self, date: NaiveDate) -> Option<&DailyMarketSnapshot> {
let end = self.previous_completed_end_index(date)?;
if end == 0 {
return None;
}
self.snapshots.get(end - 1)
} }
fn prefix_for(&self, field: PriceField) -> &[f64] { fn prefix_for(&self, field: PriceField) -> &[f64] {
@@ -700,6 +800,54 @@ impl SymbolPriceSeries {
PriceField::Last => &self.last_prefix, PriceField::Last => &self.last_prefix,
} }
} }
fn snapshot_at(&self, index: usize) -> DailyMarketSnapshot {
DailyMarketSnapshot {
date: self.dates[index],
symbol: self.symbol.clone(),
timestamp: self.timestamps[index].clone(),
day_open: self.day_opens[index],
open: self.opens[index],
high: self.highs[index],
low: self.lows[index],
close: self.closes[index],
last_price: self.last_prices[index],
bid1: self.bid1s[index],
ask1: self.ask1s[index],
prev_close: self.prev_closes[index],
volume: self.volumes[index],
tick_volume: self.tick_volumes[index],
bid1_volume: self.bid1_volumes[index],
ask1_volume: self.ask1_volumes[index],
trading_phase: self.trading_phases[index].clone(),
paused: self.paused[index],
upper_limit: self.upper_limits[index],
lower_limit: self.lower_limits[index],
price_tick: self.price_ticks[index],
}
}
fn numeric_value_at(&self, index: usize, field: &str) -> Option<f64> {
match normalize_field(field).as_str() {
"day_open" | "dayopen" => Some(self.day_opens[index]),
"open" => Some(self.opens[index]),
"high" => Some(self.highs[index]),
"low" => Some(self.lows[index]),
"close" | "price" => Some(self.closes[index]),
"last" | "last_price" => Some(self.last_prices[index]),
"prev_close" | "pre_close" => Some(self.prev_closes[index]),
"volume" => Some(self.volumes[index] as f64),
"tick_volume" => Some(self.tick_volumes[index] as f64),
"bid1" => Some(self.bid1s[index]),
"ask1" => Some(self.ask1s[index]),
"bid1_volume" => Some(self.bid1_volumes[index] as f64),
"ask1_volume" => Some(self.ask1_volumes[index] as f64),
"upper_limit" => Some(self.upper_limits[index]),
"lower_limit" => Some(self.lower_limits[index]),
"price_tick" => Some(self.price_ticks[index]),
_ => None,
}
}
} }
#[derive(Debug, Clone)] #[derive(Debug, Clone)]
@@ -835,21 +983,18 @@ impl BenchmarkPriceSeries {
pub struct DataSet { pub struct DataSet {
instruments: HashMap<String, Instrument>, instruments: HashMap<String, Instrument>,
calendar: TradingCalendar, calendar: TradingCalendar,
market_by_date: BTreeMap<NaiveDate, Vec<DailyMarketSnapshot>>, market_by_date: BTreeMap<NaiveDate, Vec<Arc<DailyMarketSnapshot>>>,
market_index: HashMap<(NaiveDate, String), DailyMarketSnapshot>, factor_by_date: BTreeMap<NaiveDate, Vec<Arc<DailyFactorSnapshot>>>,
factor_by_date: BTreeMap<NaiveDate, Vec<DailyFactorSnapshot>>,
factor_index: HashMap<(NaiveDate, String), DailyFactorSnapshot>,
factor_text_by_date: BTreeMap<NaiveDate, Vec<FactorTextValue>>, factor_text_by_date: BTreeMap<NaiveDate, Vec<FactorTextValue>>,
factor_text_index: HashMap<(NaiveDate, String, String), FactorTextValue>, factor_text_index: HashMap<(NaiveDate, String, String), FactorTextValue>,
candidate_by_date: BTreeMap<NaiveDate, Vec<CandidateEligibility>>, candidate_by_date: BTreeMap<NaiveDate, Vec<Arc<CandidateEligibility>>>,
candidate_index: HashMap<(NaiveDate, String), CandidateEligibility>,
corporate_actions_by_date: BTreeMap<NaiveDate, Vec<CorporateAction>>, corporate_actions_by_date: BTreeMap<NaiveDate, Vec<CorporateAction>>,
execution_quotes_by_date: HashMap<NaiveDate, HashMap<String, Vec<IntradayExecutionQuote>>>, execution_quotes_by_date: HashMap<NaiveDate, HashMap<String, Vec<IntradayExecutionQuote>>>,
order_book_depth_index: HashMap<(NaiveDate, String), Vec<IntradayOrderBookDepthLevel>>, order_book_depth_index: HashMap<(NaiveDate, String), Vec<IntradayOrderBookDepthLevel>>,
benchmark_by_date: BTreeMap<NaiveDate, BenchmarkSnapshot>, benchmark_by_date: BTreeMap<NaiveDate, BenchmarkSnapshot>,
market_series_by_symbol: HashMap<String, SymbolPriceSeries>, market_series_by_symbol: Arc<RwLock<HashMap<String, Arc<SymbolPriceSeries>>>>,
benchmark_series_cache: BenchmarkPriceSeries, benchmark_series_cache: BenchmarkPriceSeries,
eligible_universe_by_date: BTreeMap<NaiveDate, Vec<EligibleUniverseSnapshot>>, eligible_universe_by_date: Arc<OnceLock<BTreeMap<NaiveDate, Vec<EligibleUniverseSnapshot>>>>,
benchmark_code: String, benchmark_code: String,
futures_params_by_symbol: HashMap<String, Vec<FuturesTradingParameter>>, futures_params_by_symbol: HashMap<String, Vec<FuturesTradingParameter>>,
} }
@@ -1087,24 +1232,23 @@ impl DataSet {
) -> Result<Self, DataSetError> { ) -> Result<Self, DataSetError> {
let benchmark_code = collect_benchmark_code(&benchmarks)?; let benchmark_code = collect_benchmark_code(&benchmarks)?;
let calendar = TradingCalendar::new(benchmarks.iter().map(|item| item.date).collect()); let calendar = TradingCalendar::new(benchmarks.iter().map(|item| item.date).collect());
let factors = normalize_factor_snapshots(factors); let factors = normalize_factor_snapshots(factors)
.into_iter()
.map(Arc::new)
.collect::<Vec<_>>();
let candidates = candidates.into_iter().map(Arc::new).collect::<Vec<_>>();
let instruments = instruments let instruments = instruments
.into_iter() .into_iter()
.map(|instrument| (instrument.symbol.clone(), instrument)) .map(|instrument| (instrument.symbol.clone(), instrument))
.collect::<HashMap<_, _>>(); .collect::<HashMap<_, _>>();
let market_by_date = group_by_date(market.clone(), |item| item.date); let market = market.into_iter().map(Arc::new).collect::<Vec<_>>();
let market_index = market let mut market_by_date = group_arc_by_date(&market, |item| item.date);
.into_iter() sort_arc_groups_by_symbol(&mut market_by_date, |item| item.symbol.as_str());
.map(|item| ((item.date, item.symbol.clone()), item))
.collect::<HashMap<_, _>>();
let factor_by_date = group_by_date(factors.clone(), |item| item.date); let mut factor_by_date = group_arc_by_date(&factors, |item| item.date);
let factor_index = factors sort_arc_groups_by_symbol(&mut factor_by_date, |item| item.symbol.as_str());
.into_iter()
.map(|item| ((item.date, item.symbol.clone()), item))
.collect::<HashMap<_, _>>();
let factor_texts = factor_texts let factor_texts = factor_texts
.into_iter() .into_iter()
.filter_map(|mut item| { .filter_map(|mut item| {
@@ -1122,11 +1266,8 @@ impl DataSet {
.map(|item| ((item.date, item.symbol.clone(), item.field.clone()), item)) .map(|item| ((item.date, item.symbol.clone(), item.field.clone()), item))
.collect::<HashMap<_, _>>(); .collect::<HashMap<_, _>>();
let candidate_by_date = group_by_date(candidates.clone(), |item| item.date); let mut candidate_by_date = group_arc_by_date(&candidates, |item| item.date);
let candidate_index = candidates sort_arc_groups_by_symbol(&mut candidate_by_date, |item| item.symbol.as_str());
.into_iter()
.map(|item| ((item.date, item.symbol.clone()), item))
.collect::<HashMap<_, _>>();
let corporate_actions_by_date = group_by_date(corporate_actions, |item| item.date); let corporate_actions_by_date = group_by_date(corporate_actions, |item| item.date);
let execution_quotes_by_date = build_execution_quote_index(execution_quotes); let execution_quotes_by_date = build_execution_quote_index(execution_quotes);
let order_book_depth_index = build_order_book_depth_index(order_book_depth); let order_book_depth_index = build_order_book_depth_index(order_book_depth);
@@ -1135,35 +1276,25 @@ impl DataSet {
.into_iter() .into_iter()
.map(|item| (item.date, item)) .map(|item| (item.date, item))
.collect::<BTreeMap<_, _>>(); .collect::<BTreeMap<_, _>>();
let market_series_by_symbol = build_market_series(&market_by_date);
let benchmark_series_cache = let benchmark_series_cache =
BenchmarkPriceSeries::new(&benchmark_by_date.values().cloned().collect::<Vec<_>>()); BenchmarkPriceSeries::new(&benchmark_by_date.values().cloned().collect::<Vec<_>>());
let eligible_universe_by_date = build_eligible_universe(
&factor_by_date,
&candidate_index,
&market_index,
&instruments,
);
let futures_params_by_symbol = build_futures_params_index(futures_params); let futures_params_by_symbol = build_futures_params_index(futures_params);
Ok(Self { Ok(Self {
instruments, instruments,
calendar, calendar,
market_by_date, market_by_date,
market_index,
factor_by_date, factor_by_date,
factor_index,
factor_text_by_date, factor_text_by_date,
factor_text_index, factor_text_index,
candidate_by_date, candidate_by_date,
candidate_index,
corporate_actions_by_date, corporate_actions_by_date,
execution_quotes_by_date, execution_quotes_by_date,
order_book_depth_index, order_book_depth_index,
benchmark_by_date, benchmark_by_date,
market_series_by_symbol, market_series_by_symbol: Arc::new(RwLock::new(HashMap::new())),
benchmark_series_cache, benchmark_series_cache,
eligible_universe_by_date, eligible_universe_by_date: Arc::new(OnceLock::new()),
benchmark_code, benchmark_code,
futures_params_by_symbol, futures_params_by_symbol,
}) })
@@ -1207,15 +1338,54 @@ impl DataSet {
} }
pub fn market(&self, date: NaiveDate, symbol: &str) -> Option<&DailyMarketSnapshot> { pub fn market(&self, date: NaiveDate, symbol: &str) -> Option<&DailyMarketSnapshot> {
self.market_index.get(&(date, symbol.to_string())) self.market_by_date
.get(&date)
.and_then(|rows| find_arc_by_symbol(rows, symbol, |row| row.symbol.as_str()))
}
fn market_series(&self, symbol: &str) -> Option<Arc<SymbolPriceSeries>> {
if let Some(series) = self
.market_series_by_symbol
.read()
.expect("market series cache lock poisoned")
.get(symbol)
.cloned()
{
return Some(series);
}
let rows = self
.market_by_date
.values()
.filter_map(|day_rows| find_arc_by_symbol(day_rows, symbol, |row| row.symbol.as_str()))
.collect::<Vec<_>>();
if rows.is_empty() {
return None;
}
let series = Arc::new(SymbolPriceSeries::new(symbol.to_string(), rows));
let mut cache = self
.market_series_by_symbol
.write()
.expect("market series cache lock poisoned");
Some(
cache
.entry(symbol.to_string())
.or_insert_with(|| Arc::clone(&series))
.clone(),
)
} }
pub fn factor(&self, date: NaiveDate, symbol: &str) -> Option<&DailyFactorSnapshot> { pub fn factor(&self, date: NaiveDate, symbol: &str) -> Option<&DailyFactorSnapshot> {
self.factor_index.get(&(date, symbol.to_string())) self.factor_by_date
.get(&date)
.and_then(|rows| find_arc_by_symbol(rows, symbol, |row| row.symbol.as_str()))
} }
pub fn candidate(&self, date: NaiveDate, symbol: &str) -> Option<&CandidateEligibility> { pub fn candidate(&self, date: NaiveDate, symbol: &str) -> Option<&CandidateEligibility> {
self.candidate_index.get(&(date, symbol.to_string())) self.candidate_by_date
.get(&date)
.and_then(|rows| find_arc_by_symbol(rows, symbol, |row| row.symbol.as_str()))
} }
pub fn benchmark(&self, date: NaiveDate) -> Option<&BenchmarkSnapshot> { pub fn benchmark(&self, date: NaiveDate) -> Option<&BenchmarkSnapshot> {
@@ -1255,6 +1425,14 @@ impl DataSet {
.collect() .collect()
} }
pub fn execution_quote_count(&self) -> usize {
self.execution_quotes_by_date
.values()
.flat_map(|rows_by_symbol| rows_by_symbol.values())
.map(Vec::len)
.sum()
}
pub fn add_execution_quotes(&mut self, quotes: Vec<IntradayExecutionQuote>) -> usize { pub fn add_execution_quotes(&mut self, quotes: Vec<IntradayExecutionQuote>) -> usize {
let mut added = 0usize; let mut added = 0usize;
let mut touched = HashSet::<(NaiveDate, String)>::new(); let mut touched = HashSet::<(NaiveDate, String)>::new();
@@ -1314,6 +1492,49 @@ impl DataSet {
quotes quotes
} }
pub fn snapshot_components(&self) -> DataSetSnapshotComponents {
let mut instruments = self.instruments.values().cloned().collect::<Vec<_>>();
instruments.sort_by(|left, right| left.symbol.cmp(&right.symbol));
let market = self
.market_by_date
.values()
.flat_map(|rows| rows.iter().map(|row| row.as_ref().clone()))
.collect::<Vec<_>>();
let factors = self
.factor_by_date
.values()
.flat_map(|rows| rows.iter().map(|row| row.as_ref().clone()))
.collect::<Vec<_>>();
let candidates = self
.candidate_by_date
.values()
.flat_map(|rows| rows.iter().map(|row| row.as_ref().clone()))
.collect::<Vec<_>>();
let benchmarks = self.benchmark_by_date.values().cloned().collect::<Vec<_>>();
let corporate_actions = self
.corporate_actions_by_date
.values()
.flat_map(|rows| rows.iter().cloned())
.collect::<Vec<_>>();
let execution_quotes = self
.execution_quotes_by_date
.values()
.flat_map(|rows_by_symbol| rows_by_symbol.values())
.flat_map(|rows| rows.iter().cloned())
.collect::<Vec<_>>();
DataSetSnapshotComponents {
instruments,
market,
factors,
candidates,
benchmarks,
corporate_actions,
execution_quotes,
}
}
pub fn benchmark_series(&self) -> Vec<BenchmarkSnapshot> { pub fn benchmark_series(&self) -> Vec<BenchmarkSnapshot> {
self.benchmark_by_date.values().cloned().collect() self.benchmark_by_date.values().cloned().collect()
} }
@@ -1396,8 +1617,7 @@ impl DataSet {
bar_count: usize, bar_count: usize,
include_now: bool, include_now: bool,
) -> Vec<DailyMarketSnapshot> { ) -> Vec<DailyMarketSnapshot> {
self.market_series_by_symbol self.market_series(symbol)
.get(symbol)
.map(|series| series.trailing_snapshots(date, bar_count, include_now)) .map(|series| series.trailing_snapshots(date, bar_count, include_now))
.unwrap_or_default() .unwrap_or_default()
} }
@@ -1920,6 +2140,7 @@ impl DataSet {
.range(start..=end) .range(start..=end)
.flat_map(|(_, rows)| rows.iter()) .flat_map(|(_, rows)| rows.iter())
.filter(|row| row.symbol == symbol) .filter(|row| row.symbol == symbol)
.map(Arc::as_ref)
.map(daily_market_price_bar) .map(daily_market_price_bar)
.collect(), .collect(),
Some("1m") | Some("tick") => { Some("1m") | Some("tick") => {
@@ -1953,21 +2174,24 @@ impl DataSet {
symbol: &str, symbol: &str,
field: PriceField, field: PriceField,
) -> Option<f64> { ) -> Option<f64> {
self.market_series_by_symbol self.market_series(symbol)
.get(symbol)
.and_then(|series| series.price_on_or_before(date, field)) .and_then(|series| series.price_on_or_before(date, field))
} }
pub fn market_before(&self, date: NaiveDate, symbol: &str) -> Option<&DailyMarketSnapshot> { pub fn market_before(&self, date: NaiveDate, symbol: &str) -> Option<&DailyMarketSnapshot> {
self.market_series_by_symbol let series = self.market_series(symbol)?;
.get(symbol) let end = series.previous_completed_end_index(date)?;
.and_then(|series| series.snapshot_before(date)) if end == 0 {
return None;
}
let previous_date = *series.dates.get(end - 1)?;
self.market(previous_date, symbol)
} }
pub fn factor_snapshots_on(&self, date: NaiveDate) -> Vec<&DailyFactorSnapshot> { pub fn factor_snapshots_on(&self, date: NaiveDate) -> Vec<&DailyFactorSnapshot> {
self.factor_by_date self.factor_by_date
.get(&date) .get(&date)
.map(|rows| rows.iter().collect()) .map(|rows| rows.iter().map(Arc::as_ref).collect())
.unwrap_or_default() .unwrap_or_default()
} }
@@ -1981,14 +2205,14 @@ impl DataSet {
pub fn market_snapshots_on(&self, date: NaiveDate) -> Vec<&DailyMarketSnapshot> { pub fn market_snapshots_on(&self, date: NaiveDate) -> Vec<&DailyMarketSnapshot> {
self.market_by_date self.market_by_date
.get(&date) .get(&date)
.map(|rows| rows.iter().collect()) .map(|rows| rows.iter().map(Arc::as_ref).collect())
.unwrap_or_default() .unwrap_or_default()
} }
pub fn candidate_snapshots_on(&self, date: NaiveDate) -> Vec<&CandidateEligibility> { pub fn candidate_snapshots_on(&self, date: NaiveDate) -> Vec<&CandidateEligibility> {
self.candidate_by_date self.candidate_by_date
.get(&date) .get(&date)
.map(|rows| rows.iter().collect()) .map(|rows| rows.iter().map(Arc::as_ref).collect())
.unwrap_or_default() .unwrap_or_default()
} }
@@ -2000,12 +2224,20 @@ impl DataSet {
Ok(DailySnapshotBundle { Ok(DailySnapshotBundle {
date, date,
benchmark, benchmark,
market: self.market_by_date.get(&date).cloned().unwrap_or_default(), market: self
factors: self.factor_by_date.get(&date).cloned().unwrap_or_default(), .market_by_date
.get(&date)
.map(|rows| rows.iter().map(|row| row.as_ref().clone()).collect())
.unwrap_or_default(),
factors: self
.factor_by_date
.get(&date)
.map(|rows| rows.iter().map(|row| row.as_ref().clone()).collect())
.unwrap_or_default(),
candidates: self candidates: self
.candidate_by_date .candidate_by_date
.get(&date) .get(&date)
.cloned() .map(|rows| rows.iter().map(|row| row.as_ref().clone()).collect())
.unwrap_or_default(), .unwrap_or_default(),
corporate_actions: self corporate_actions: self
.corporate_actions_by_date .corporate_actions_by_date
@@ -2020,8 +2252,7 @@ impl DataSet {
} }
pub fn market_closes_up_to(&self, date: NaiveDate, symbol: &str, lookback: usize) -> Vec<f64> { pub fn market_closes_up_to(&self, date: NaiveDate, symbol: &str, lookback: usize) -> Vec<f64> {
self.market_series_by_symbol self.market_series(symbol)
.get(symbol)
.map(|series| series.trailing_values(date, lookback, PriceField::Close)) .map(|series| series.trailing_values(date, lookback, PriceField::Close))
.unwrap_or_default() .unwrap_or_default()
} }
@@ -2034,10 +2265,9 @@ impl DataSet {
field: &str, field: &str,
include_now: bool, include_now: bool,
) -> Vec<f64> { ) -> Vec<f64> {
self.history_daily_snapshots(date, symbol, bar_count, include_now) self.market_series(symbol)
.into_iter() .map(|series| series.trailing_numeric_values(date, bar_count, field, include_now))
.filter_map(|row| daily_market_numeric_value(&row, field)) .unwrap_or_default()
.collect()
} }
fn history_intraday_values( fn history_intraday_values(
@@ -2076,18 +2306,12 @@ impl DataSet {
let start = days.len().saturating_sub(count); let start = days.len().saturating_sub(count);
days[start..] days[start..]
.iter() .iter()
.map(|day| { .map(|day| evaluator(self.candidate(*day, symbol), self.market(*day, symbol)))
evaluator(
self.candidate_index.get(&(*day, symbol.to_string())),
self.market_index.get(&(*day, symbol.to_string())),
)
})
.collect() .collect()
} }
pub fn market_decision_close(&self, date: NaiveDate, symbol: &str) -> Option<f64> { pub fn market_decision_close(&self, date: NaiveDate, symbol: &str) -> Option<f64> {
self.market_series_by_symbol self.market_series(symbol)
.get(symbol)
.and_then(|series| series.decision_price_on_or_before(date)) .and_then(|series| series.decision_price_on_or_before(date))
} }
@@ -2097,8 +2321,7 @@ impl DataSet {
symbol: &str, symbol: &str,
lookback: usize, lookback: usize,
) -> Option<f64> { ) -> Option<f64> {
self.market_series_by_symbol self.market_series(symbol)
.get(symbol)
.and_then(|series| series.decision_close_moving_average(date, lookback)) .and_then(|series| series.decision_close_moving_average(date, lookback))
} }
@@ -2108,8 +2331,7 @@ impl DataSet {
symbol: &str, symbol: &str,
lookback: usize, lookback: usize,
) -> Option<f64> { ) -> Option<f64> {
self.market_series_by_symbol self.market_series(symbol)
.get(symbol)
.and_then(|series| series.decision_volume_moving_average(date, lookback)) .and_then(|series| series.decision_volume_moving_average(date, lookback))
} }
@@ -2196,12 +2418,10 @@ impl DataSet {
let field = normalize_field(field); let field = normalize_field(field);
match field.as_str() { match field.as_str() {
"close" | "prev_close" | "stock_close" | "price" => self "close" | "prev_close" | "stock_close" | "price" => self
.market_series_by_symbol .market_series(symbol)
.get(symbol)
.and_then(|series| series.decision_close_moving_average(date, lookback)), .and_then(|series| series.decision_close_moving_average(date, lookback)),
"volume" | "stock_volume" => self "volume" | "stock_volume" => self
.market_series_by_symbol .market_series(symbol)
.get(symbol)
.and_then(|series| series.decision_volume_moving_average(date, lookback)), .and_then(|series| series.decision_volume_moving_average(date, lookback)),
"day_open" | "dayopen" => { "day_open" | "dayopen" => {
self.market_moving_average(date, symbol, lookback, PriceField::DayOpen) self.market_moving_average(date, symbol, lookback, PriceField::DayOpen)
@@ -2227,8 +2447,7 @@ impl DataSet {
self.market_moving_average(date, symbol, lookback, PriceField::Close) self.market_moving_average(date, symbol, lookback, PriceField::Close)
} }
"volume" | "stock_volume" => self "volume" | "stock_volume" => self
.market_series_by_symbol .market_series(symbol)
.get(symbol)
.and_then(|series| series.current_volume_moving_average(date, lookback)) .and_then(|series| series.current_volume_moving_average(date, lookback))
.or_else(|| self.factor_moving_average(date, symbol, "daily_volume", lookback)), .or_else(|| self.factor_moving_average(date, symbol, "daily_volume", lookback)),
"day_open" | "dayopen" => { "day_open" | "dayopen" => {
@@ -2255,28 +2474,23 @@ impl DataSet {
let field = normalize_field(field); let field = normalize_field(field);
match field.as_str() { match field.as_str() {
"close" | "prev_close" | "stock_close" | "price" => self "close" | "prev_close" | "stock_close" | "price" => self
.market_series_by_symbol .market_series(symbol)
.get(symbol)
.and_then(|series| series.decision_prev_close_values(date, lookback)) .and_then(|series| series.decision_prev_close_values(date, lookback))
.unwrap_or_default(), .unwrap_or_default(),
"volume" | "stock_volume" => self "volume" | "stock_volume" => self
.market_series_by_symbol .market_series(symbol)
.get(symbol)
.and_then(|series| series.decision_volume_values(date, lookback)) .and_then(|series| series.decision_volume_values(date, lookback))
.unwrap_or_default(), .unwrap_or_default(),
"day_open" | "dayopen" => self "day_open" | "dayopen" => self
.market_series_by_symbol .market_series(symbol)
.get(symbol)
.map(|series| series.trailing_values(date, lookback, PriceField::DayOpen)) .map(|series| series.trailing_values(date, lookback, PriceField::DayOpen))
.unwrap_or_default(), .unwrap_or_default(),
"open" => self "open" => self
.market_series_by_symbol .market_series(symbol)
.get(symbol)
.map(|series| series.trailing_values(date, lookback, PriceField::Open)) .map(|series| series.trailing_values(date, lookback, PriceField::Open))
.unwrap_or_default(), .unwrap_or_default(),
"last" | "last_price" => self "last" | "last_price" => self
.market_series_by_symbol .market_series(symbol)
.get(symbol)
.map(|series| series.trailing_values(date, lookback, PriceField::Last)) .map(|series| series.trailing_values(date, lookback, PriceField::Last))
.unwrap_or_default(), .unwrap_or_default(),
other => self.factor_numeric_values(date, symbol, other, lookback), other => self.factor_numeric_values(date, symbol, other, lookback),
@@ -2308,8 +2522,7 @@ impl DataSet {
lookback: usize, lookback: usize,
field: PriceField, field: PriceField,
) -> Option<f64> { ) -> Option<f64> {
self.market_series_by_symbol self.market_series(symbol)
.get(symbol)
.and_then(|series| series.moving_average(date, lookback, field)) .and_then(|series| series.moving_average(date, lookback, field))
} }
@@ -2378,6 +2591,14 @@ impl DataSet {
pub fn eligible_universe_on(&self, date: NaiveDate) -> &[EligibleUniverseSnapshot] { pub fn eligible_universe_on(&self, date: NaiveDate) -> &[EligibleUniverseSnapshot] {
self.eligible_universe_by_date self.eligible_universe_by_date
.get_or_init(|| {
build_eligible_universe(
&self.factor_by_date,
&self.candidate_by_date,
&self.market_by_date,
&self.instruments,
)
})
.get(&date) .get(&date)
.map(Vec::as_slice) .map(Vec::as_slice)
.unwrap_or(&[]) .unwrap_or(&[])
@@ -2761,28 +2982,6 @@ fn factor_numeric_value(snapshot: &DailyFactorSnapshot, field: &str) -> Option<f
} }
} }
fn daily_market_numeric_value(snapshot: &DailyMarketSnapshot, field: &str) -> Option<f64> {
match normalize_field(field).as_str() {
"day_open" | "dayopen" => Some(snapshot.day_open),
"open" => Some(snapshot.open),
"high" => Some(snapshot.high),
"low" => Some(snapshot.low),
"close" | "price" => Some(snapshot.close),
"last" | "last_price" => Some(snapshot.last_price),
"prev_close" | "pre_close" => Some(snapshot.prev_close),
"volume" => Some(snapshot.volume as f64),
"tick_volume" => Some(snapshot.tick_volume as f64),
"bid1" => Some(snapshot.bid1),
"ask1" => Some(snapshot.ask1),
"bid1_volume" => Some(snapshot.bid1_volume as f64),
"ask1_volume" => Some(snapshot.ask1_volume as f64),
"upper_limit" => Some(snapshot.upper_limit),
"lower_limit" => Some(snapshot.lower_limit),
"price_tick" => Some(snapshot.price_tick),
_ => None,
}
}
fn intraday_quote_numeric_value(snapshot: &IntradayExecutionQuote, field: &str) -> Option<f64> { fn intraday_quote_numeric_value(snapshot: &IntradayExecutionQuote, field: &str) -> Option<f64> {
match normalize_field(field).as_str() { match normalize_field(field).as_str() {
"last" | "last_price" | "close" | "price" => Some(snapshot.last_price), "last" | "last_price" | "close" | "price" => Some(snapshot.last_price),
@@ -2918,6 +3117,13 @@ fn read_candidates(path: &Path) -> Result<Vec<CandidateEligibility>, DataSetErro
allow_sell: row.parse_bool(6)?, allow_sell: row.parse_bool(6)?,
is_kcb: row.parse_optional_bool(7).unwrap_or(false), is_kcb: row.parse_optional_bool(7).unwrap_or(false),
is_one_yuan: row.parse_optional_bool(8).unwrap_or(false), is_one_yuan: row.parse_optional_bool(8).unwrap_or(false),
risk_level_code: row
.fields
.get(9)
.map(String::as_str)
.map(str::trim)
.filter(|value| !value.is_empty())
.map(ToOwned::to_owned),
}); });
} }
Ok(snapshots) Ok(snapshots)
@@ -3275,6 +3481,38 @@ where
grouped grouped
} }
fn group_arc_by_date<T, F>(rows: &[Arc<T>], mut date_of: F) -> BTreeMap<NaiveDate, Vec<Arc<T>>>
where
F: FnMut(&T) -> NaiveDate,
{
let mut grouped = BTreeMap::<NaiveDate, Vec<Arc<T>>>::new();
for row in rows {
grouped
.entry(date_of(row.as_ref()))
.or_default()
.push(Arc::clone(row));
}
grouped
}
fn sort_arc_groups_by_symbol<T, F>(groups: &mut BTreeMap<NaiveDate, Vec<Arc<T>>>, symbol_of: F)
where
F: Fn(&T) -> &str + Copy,
{
for rows in groups.values_mut() {
rows.sort_by(|left, right| symbol_of(left.as_ref()).cmp(symbol_of(right.as_ref())));
}
}
fn find_arc_by_symbol<'a, T, F>(rows: &'a [Arc<T>], symbol: &str, symbol_of: F) -> Option<&'a T>
where
F: Fn(&T) -> &str,
{
rows.binary_search_by(|row| symbol_of(row.as_ref()).cmp(symbol))
.ok()
.map(|index| rows[index].as_ref())
}
fn collect_benchmark_code(benchmarks: &[BenchmarkSnapshot]) -> Result<String, DataSetError> { fn collect_benchmark_code(benchmarks: &[BenchmarkSnapshot]) -> Result<String, DataSetError> {
let mut codes = benchmarks let mut codes = benchmarks
.iter() .iter()
@@ -3343,25 +3581,6 @@ mod optional_date_format {
} }
} }
fn build_market_series(
market_by_date: &BTreeMap<NaiveDate, Vec<DailyMarketSnapshot>>,
) -> HashMap<String, SymbolPriceSeries> {
let mut grouped = HashMap::<String, Vec<DailyMarketSnapshot>>::new();
for rows in market_by_date.values() {
for row in rows {
grouped
.entry(row.symbol.clone())
.or_default()
.push(row.clone());
}
}
grouped
.into_iter()
.map(|(symbol, rows)| (symbol, SymbolPriceSeries::new(&rows)))
.collect()
}
fn build_futures_params_index( fn build_futures_params_index(
rows: Vec<FuturesTradingParameter>, rows: Vec<FuturesTradingParameter>,
) -> HashMap<String, Vec<FuturesTradingParameter>> { ) -> HashMap<String, Vec<FuturesTradingParameter>> {
@@ -3420,9 +3639,9 @@ fn build_order_book_depth_index(
} }
fn build_eligible_universe( fn build_eligible_universe(
factor_by_date: &BTreeMap<NaiveDate, Vec<DailyFactorSnapshot>>, factor_by_date: &BTreeMap<NaiveDate, Vec<Arc<DailyFactorSnapshot>>>,
candidate_index: &HashMap<(NaiveDate, String), CandidateEligibility>, candidate_by_date: &BTreeMap<NaiveDate, Vec<Arc<CandidateEligibility>>>,
market_index: &HashMap<(NaiveDate, String), DailyMarketSnapshot>, market_by_date: &BTreeMap<NaiveDate, Vec<Arc<DailyMarketSnapshot>>>,
instruments: &HashMap<String, Instrument>, instruments: &HashMap<String, Instrument>,
) -> BTreeMap<NaiveDate, Vec<EligibleUniverseSnapshot>> { ) -> BTreeMap<NaiveDate, Vec<EligibleUniverseSnapshot>> {
let mut per_date = BTreeMap::<NaiveDate, Vec<EligibleUniverseSnapshot>>::new(); let mut per_date = BTreeMap::<NaiveDate, Vec<EligibleUniverseSnapshot>>::new();
@@ -3433,11 +3652,14 @@ fn build_eligible_universe(
if factor.market_cap_bn <= 0.0 || !factor.market_cap_bn.is_finite() { if factor.market_cap_bn <= 0.0 || !factor.market_cap_bn.is_finite() {
continue; continue;
} }
let key = (*date, factor.symbol.clone()); let Some(candidate) = candidate_by_date.get(date).and_then(|rows| {
let Some(candidate) = candidate_index.get(&key) else { find_arc_by_symbol(rows, &factor.symbol, |row| row.symbol.as_str())
}) else {
continue; continue;
}; };
let Some(market) = market_index.get(&key) else { let Some(market) = market_by_date.get(date).and_then(|rows| {
find_arc_by_symbol(rows, &factor.symbol, |row| row.symbol.as_str())
}) else {
continue; continue;
}; };
if ChinaAShareRiskControl::selection_rejection_reason( if ChinaAShareRiskControl::selection_rejection_reason(
@@ -3581,11 +3803,14 @@ mod tests {
#[test] #[test]
fn decision_volume_average_uses_previous_completed_days_only() { fn decision_volume_average_uses_previous_completed_days_only() {
let series = SymbolPriceSeries::new(&[ let series = SymbolPriceSeries::new(
market_row("2025-01-02", 10.0, 100), "000001.SZ".to_string(),
market_row("2025-01-03", 11.0, 200), &[
market_row("2025-01-06", 12.0, 10_000), market_row("2025-01-02", 10.0, 100),
]); market_row("2025-01-03", 11.0, 200),
market_row("2025-01-06", 12.0, 10_000),
],
);
assert_eq!( assert_eq!(
series.decision_close_moving_average( series.decision_close_moving_average(
@@ -3615,11 +3840,14 @@ mod tests {
let mut current = market_row("2025-01-06", 12.0, 10_000); let mut current = market_row("2025-01-06", 12.0, 10_000);
current.close = 9_999.0; current.close = 9_999.0;
current.last_price = 9_999.0; current.last_price = 9_999.0;
let series = SymbolPriceSeries::new(&[ let series = SymbolPriceSeries::new(
market_row("2025-01-02", 10.0, 100), "000001.SZ".to_string(),
market_row("2025-01-03", 11.0, 200), &[
current, market_row("2025-01-02", 10.0, 100),
]); market_row("2025-01-03", 11.0, 200),
current,
],
);
let decision_date = NaiveDate::parse_from_str("2025-01-06", "%Y-%m-%d").unwrap(); let decision_date = NaiveDate::parse_from_str("2025-01-06", "%Y-%m-%d").unwrap();
assert_eq!( assert_eq!(
@@ -3636,12 +3864,15 @@ mod tests {
fn decision_volume_average_includes_paused_zero_volume_days() { fn decision_volume_average_includes_paused_zero_volume_days() {
let mut paused = market_row("2025-01-03", 11.0, 0); let mut paused = market_row("2025-01-03", 11.0, 0);
paused.paused = true; paused.paused = true;
let series = SymbolPriceSeries::new(&[ let series = SymbolPriceSeries::new(
market_row("2025-01-02", 10.0, 100), "000001.SZ".to_string(),
paused, &[
market_row("2025-01-06", 12.0, 300), market_row("2025-01-02", 10.0, 100),
market_row("2025-01-07", 13.0, 10_000), paused,
]); market_row("2025-01-06", 12.0, 300),
market_row("2025-01-07", 13.0, 10_000),
],
);
assert_eq!( assert_eq!(
series.decision_volume_moving_average( series.decision_volume_moving_average(
@@ -3715,6 +3946,7 @@ 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,
}; };
let data = DataSet::from_components( let data = DataSet::from_components(
vec![instrument("000001.SZ"), instrument("000002.SZ")], vec![instrument("000001.SZ"), instrument("000002.SZ")],
@@ -3747,6 +3979,49 @@ mod tests {
assert!((rows[1].market_cap_bn - 10.0).abs() < 1e-9); assert!((rows[1].market_cap_bn - 10.0).abs() < 1e-9);
} }
#[test]
fn decision_market_cap_keeps_pre_adjusted_factor() {
let date = NaiveDate::parse_from_str("2025-01-06", "%Y-%m-%d").unwrap();
let market = DailyMarketSnapshot {
date,
symbol: "000001.SZ".to_string(),
timestamp: Some("2025-01-06 10:18:00".to_string()),
day_open: 10.0,
open: 10.0,
high: 20.0,
low: 10.0,
close: 20.0,
last_price: 10.0,
bid1: 10.0,
ask1: 10.0,
prev_close: 10.0,
volume: 100_000,
tick_volume: 1_000,
bid1_volume: 1_000,
ask1_volume: 1_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 11.0,
lower_limit: 9.0,
price_tick: 0.01,
};
let mut extra_factors = BTreeMap::new();
extra_factors.insert("__market_cap_decision_adjusted".to_string(), 1.0);
let factor = DailyFactorSnapshot {
date,
symbol: "000001.SZ".to_string(),
market_cap_bn: 12.0,
free_float_cap_bn: 4.0,
pe_ttm: 10.0,
turnover_ratio: Some(1.0),
effective_turnover_ratio: Some(1.0),
extra_factors,
};
assert!((decision_market_cap_bn(&factor, &market) - 12.0).abs() < 1e-9);
assert!((decision_free_float_cap_bn(&factor, &market) - 4.0).abs() < 1e-9);
}
#[test] #[test]
fn benchmark_decision_close_windows_exclude_current_close() { fn benchmark_decision_close_windows_exclude_current_close() {
let series = BenchmarkPriceSeries::new(&[ let series = BenchmarkPriceSeries::new(&[
+89 -2
View File
@@ -1,6 +1,6 @@
use std::collections::{BTreeMap, BTreeSet}; use std::collections::{BTreeMap, BTreeSet};
use chrono::{Datelike, NaiveDate, NaiveTime}; use chrono::{Datelike, Duration, NaiveDate, NaiveTime};
use serde::Serialize; use serde::Serialize;
use thiserror::Error; use thiserror::Error;
@@ -561,7 +561,12 @@ where
return false; return false;
} }
if start_time.is_some() && end_time.is_none() { if start_time.is_some() && end_time.is_none() {
return true; 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)
}); });
@@ -622,6 +627,35 @@ where
Ok(()) 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(())
}
fn apply_strategy_directives( fn apply_strategy_directives(
&mut self, &mut self,
execution_date: NaiveDate, execution_date: NaiveDate,
@@ -1951,6 +1985,33 @@ where
)?; )?;
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(); 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( self.ensure_execution_quotes_for_portfolio_times(
execution_date, execution_date,
&portfolio, &portfolio,
@@ -3292,12 +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 { .. }),
.. ..
@@ -3330,6 +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, .. }
@@ -3382,6 +3463,12 @@ fn algo_execution_quote_windows_for_decision(
start_time, start_time,
end_time, end_time,
.. ..
}
| OrderIntent::TimedTargetValue {
symbol,
start_time,
end_time,
..
} => { } => {
if start_time.is_some() || end_time.is_some() { if start_time.is_some() || end_time.is_some() {
groups groups
File diff suppressed because it is too large Load Diff
+99 -4
View File
@@ -140,6 +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>,
@@ -300,6 +302,8 @@ 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>, pub delayed_limit_open_exit: Option<bool>,
#[serde(default)] #[serde(default)]
pub delayed_limit_open_exit_time: Option<String>, pub delayed_limit_open_exit_time: Option<String>,
@@ -566,6 +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,
@@ -647,6 +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()
@@ -927,6 +951,12 @@ 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 { if let Some(enabled) = trading.release_slot_on_exit_signal {
cfg.release_slot_on_exit_signal = enabled; cfg.release_slot_on_exit_signal = enabled;
} }
@@ -1001,10 +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);
@@ -1529,6 +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": [
{ {
@@ -1552,6 +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);
@@ -1561,6 +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!({
@@ -1629,6 +1700,30 @@ mod tests {
); );
} }
#[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!({
+79 -27
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,
@@ -114,6 +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 {
@@ -122,6 +125,7 @@ impl Position {
let lot_sell = remaining.min(first_lot.quantity); let lot_sell = remaining.min(first_lot.quantity);
realized += (execution_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;
@@ -133,6 +137,7 @@ impl Position {
self.quantity -= quantity; self.quantity -= quantity;
self.last_price = normalized_mark_price(mark_price, execution_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 += execution_price * quantity as f64; self.day_sell_value += execution_price * quantity as f64;
@@ -157,10 +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
} }
@@ -765,33 +781,40 @@ impl PortfolioState {
self.positions self.positions
.values() .values()
.filter(|position| position.quantity > 0) .filter(|position| position.quantity > 0)
.map(|position| HoldingSummary { .map(|position| {
date, let market_value = position.market_value();
symbol: position.symbol.clone(), let entry_average_cost = position
quantity: position.quantity, .average_entry_price()
average_cost: position.average_cost, .filter(|value| value.is_finite() && *value > 0.0)
last_price: position.last_price, .unwrap_or(position.average_cost);
market_value: position.market_value(), HoldingSummary {
value_percent: if total_equity > 0.0 { date,
position.market_value() / total_equity symbol: position.symbol.clone(),
} else { quantity: position.quantity,
0.0 average_cost: entry_average_cost,
}, last_price: position.last_price,
unrealized_pnl: position.unrealized_pnl(), market_value,
realized_pnl: position.realized_pnl, value_percent: if total_equity > 0.0 {
pnl: position.pnl(), market_value / total_equity
trading_pnl: position.trading_pnl, } else {
position_pnl: position.position_pnl, 0.0
dividend_receivable: position.dividend_receivable, },
old_quantity: position.day_start_quantity(), unrealized_pnl: position.unrealized_entry_pnl(),
bought_quantity: position.bought_quantity(), realized_pnl: position.realized_entry_pnl,
sold_quantity: position.sold_quantity(), pnl: position.entry_pnl(),
buy_avg_price: position.buy_avg_price(), trading_pnl: position.trading_pnl,
sell_avg_price: position.sell_avg_price(), position_pnl: position.position_pnl,
bought_value: position.bought_value(), dividend_receivable: position.dividend_receivable,
sold_value: position.sold_value(), old_quantity: position.day_start_quantity(),
transaction_cost: position.transaction_cost(), bought_quantity: position.bought_quantity(),
day_trade_quantity_delta: position.day_trade_quantity_delta(), sold_quantity: position.sold_quantity(),
buy_avg_price: position.buy_avg_price(),
sell_avg_price: position.sell_avg_price(),
bought_value: position.bought_value(),
sold_value: position.sold_value(),
transaction_cost: position.transaction_cost(),
day_trade_quantity_delta: position.day_trade_quantity_delta(),
}
}) })
.collect() .collect()
} }
@@ -815,6 +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()
@@ -851,6 +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;
} }
@@ -930,6 +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();
@@ -1036,6 +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,
@@ -1122,6 +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,
+100 -3
View File
@@ -111,9 +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");
} }
@@ -134,3 +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"));
}
}
+14
View File
@@ -43,6 +43,12 @@ pub trait Strategy {
fn decision_quote_times(&self) -> Vec<NaiveTime> { fn decision_quote_times(&self) -> Vec<NaiveTime> {
Vec::new() 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<'_>,
@@ -983,6 +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,
+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() },
], ],
+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,
} }
} }
@@ -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![
@@ -149,6 +149,7 @@ fn engine_preloads_declared_decision_quotes_for_current_positions() {
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: second, date: second,
@@ -160,6 +161,7 @@ fn engine_preloads_declared_decision_quotes_for_current_positions() {
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![
@@ -226,6 +228,189 @@ fn engine_preloads_declared_decision_quotes_for_current_positions() {
engine.run().expect("backtest should run"); 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)] #[derive(Default)]
struct MultiTimeDecisionQuoteReader { struct MultiTimeDecisionQuoteReader {
day_count: usize, day_count: usize,
@@ -361,6 +546,7 @@ fn engine_loads_distinct_decision_quote_times_on_same_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,
}, },
CandidateEligibility { CandidateEligibility {
date: second, date: second,
@@ -372,6 +558,7 @@ fn engine_loads_distinct_decision_quote_times_on_same_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![ vec![
+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,
@@ -1762,6 +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,
@@ -1868,6 +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,
@@ -1983,6 +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,
@@ -2110,6 +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,
@@ -2213,6 +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,
@@ -2373,6 +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,
@@ -2517,6 +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,
@@ -2674,6 +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,
@@ -2833,6 +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,
@@ -2947,6 +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,
@@ -3111,6 +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,
@@ -3122,6 +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 {
@@ -3298,6 +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,
@@ -3309,6 +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 {
@@ -3479,6 +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,
@@ -3490,6 +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 {
@@ -3615,6 +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,
@@ -3713,6 +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,
@@ -3813,6 +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,
@@ -3927,6 +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(
@@ -4094,6 +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,
@@ -4105,6 +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![
@@ -4502,6 +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,