8 Commits

Author SHA1 Message Date
boris
7dbd66b467 修复止盈关闭时的延迟卖出误触发 2026-05-20 17:51:29 +08:00
boris
db8b0bf142 修复AiQuant回测撮合一致性 2026-05-20 12:09:01 +08:00
boris
6e54471e57 修复回测撮合与AiQuant兼容语义 2026-05-18 23:06:47 +08:00
boris
3f383c1a88 修复平台策略撮合限价与回补语义 2026-05-18 11:14:51 +08:00
boris
4577657c90 对齐 AiQuant RQAlpha 回测语义 2026-05-15 11:48:10 +08:00
boris
94662b6e75 chore: 更新 fidc-backtest-engine - 2026-05-13 2026-05-13 23:48:16 +08:00
boris
616cab0e7e chore: 更新 fidc-backtest-engine - 2026-05-13 2026-05-13 21:57:57 +08:00
boris
db72f6f515 修复 AiQuant 微盘回测撮合语义 2026-05-13 18:43:02 +08:00
14 changed files with 4969 additions and 406 deletions

View File

@@ -11,7 +11,7 @@ use crate::events::{
ProcessEventKind,
};
use crate::portfolio::PortfolioState;
use crate::rules::EquityRuleHooks;
use crate::rules::{EquityRuleHooks, RuleCheck};
use crate::strategy::{
AlgoOrderStyle, OpenOrderView, OrderIntent, StrategyDecision, TargetPortfolioOrderPricing,
};
@@ -111,6 +111,8 @@ pub struct BrokerSimulator<C, R> {
inactive_limit: bool,
liquidity_limit: bool,
strict_value_budget: bool,
aiquant_rqalpha_execution_rules: bool,
same_day_buy_close_mark_at_fill: bool,
intraday_execution_start_time: Option<NaiveTime>,
runtime_intraday_start_time: Cell<Option<NaiveTime>>,
runtime_intraday_end_time: Cell<Option<NaiveTime>>,
@@ -132,6 +134,8 @@ impl<C, R> BrokerSimulator<C, R> {
inactive_limit: true,
liquidity_limit: true,
strict_value_budget: false,
aiquant_rqalpha_execution_rules: false,
same_day_buy_close_mark_at_fill: false,
intraday_execution_start_time: None,
runtime_intraday_start_time: Cell::new(None),
runtime_intraday_end_time: Cell::new(None),
@@ -157,6 +161,8 @@ impl<C, R> BrokerSimulator<C, R> {
inactive_limit: true,
liquidity_limit: true,
strict_value_budget: false,
aiquant_rqalpha_execution_rules: false,
same_day_buy_close_mark_at_fill: false,
intraday_execution_start_time: None,
runtime_intraday_start_time: Cell::new(None),
runtime_intraday_end_time: Cell::new(None),
@@ -185,6 +191,20 @@ impl<C, R> BrokerSimulator<C, R> {
self
}
pub fn with_aiquant_rqalpha_execution_rules(mut self, enabled: bool) -> Self {
self.aiquant_rqalpha_execution_rules = enabled;
self
}
pub fn with_same_day_buy_close_mark_at_fill(mut self, enabled: bool) -> Self {
self.same_day_buy_close_mark_at_fill = enabled;
self
}
pub fn same_day_buy_close_mark_at_fill(&self) -> bool {
self.same_day_buy_close_mark_at_fill
}
pub fn with_volume_percent(mut self, volume_percent: f64) -> Self {
self.volume_percent = volume_percent;
self
@@ -252,6 +272,34 @@ where
snapshot.price(self.execution_price_field)
}
fn value_buy_sizing_price(
&self,
date: NaiveDate,
data: &DataSet,
symbol: &str,
snapshot: &crate::data::DailyMarketSnapshot,
) -> f64 {
let start_cursor = self
.runtime_intraday_start_time
.get()
.or(self.intraday_execution_start_time)
.map(|start_time| date.and_time(start_time));
data.execution_quotes_on(date, symbol)
.iter()
.filter(|quote| {
start_cursor
.map(|cursor| quote.timestamp >= cursor)
.unwrap_or(true)
})
.next()
.and_then(|quote| match self.execution_price_field {
PriceField::Last => (quote.last_price.is_finite() && quote.last_price > 0.0)
.then_some(quote.last_price),
_ => quote.buy_price(),
})
.unwrap_or_else(|| self.sizing_price(snapshot))
}
fn snapshot_execution_price(
&self,
snapshot: &crate::data::DailyMarketSnapshot,
@@ -1785,6 +1833,68 @@ where
Ok(())
}
fn aiquant_limit_check_price(
&self,
snapshot: &crate::data::DailyMarketSnapshot,
side: OrderSide,
) -> f64 {
match (self.execution_price_field, side) {
(PriceField::Last, _) => snapshot.price(PriceField::Last),
(_, OrderSide::Buy) => snapshot.buy_price(self.execution_price_field),
(_, OrderSide::Sell) => snapshot.sell_price(self.execution_price_field),
}
}
fn buy_rule_check(
&self,
date: NaiveDate,
snapshot: &crate::data::DailyMarketSnapshot,
candidate: &crate::data::CandidateEligibility,
) -> RuleCheck {
if !self.aiquant_rqalpha_execution_rules {
return self
.rules
.can_buy(date, snapshot, candidate, self.execution_price_field);
}
if snapshot.paused || candidate.is_paused {
return RuleCheck::reject("paused");
}
let check_price = self.aiquant_limit_check_price(snapshot, OrderSide::Buy);
if snapshot.is_at_upper_limit_price(check_price) {
return RuleCheck::reject("open at or above upper limit");
}
RuleCheck::allow()
}
fn sell_rule_check(
&self,
date: NaiveDate,
snapshot: &crate::data::DailyMarketSnapshot,
candidate: &crate::data::CandidateEligibility,
position: &crate::portfolio::Position,
) -> RuleCheck {
if !self.aiquant_rqalpha_execution_rules {
return self.rules.can_sell(
date,
snapshot,
candidate,
position,
self.execution_price_field,
);
}
if snapshot.paused || candidate.is_paused {
return RuleCheck::reject("paused");
}
let check_price = self.aiquant_limit_check_price(snapshot, OrderSide::Sell);
if snapshot.is_at_lower_limit_price(check_price) {
return RuleCheck::reject("open at or below lower limit");
}
if position.sellable_qty(date) == 0 {
return RuleCheck::reject("t+1 sellable quantity is zero");
}
RuleCheck::allow()
}
fn minimum_target_quantity(
&self,
date: NaiveDate,
@@ -1807,13 +1917,7 @@ where
let Ok(candidate) = data.require_candidate(date, symbol) else {
return current_qty;
};
let rule = self.rules.can_sell(
date,
snapshot,
candidate,
position,
self.execution_price_field,
);
let rule = self.sell_rule_check(date, snapshot, candidate, position);
if !rule.allowed {
return current_qty;
}
@@ -1851,9 +1955,7 @@ where
let Ok(candidate) = data.require_candidate(date, symbol) else {
return current_qty;
};
let rule = self
.rules
.can_buy(date, snapshot, candidate, self.execution_price_field);
let rule = self.buy_rule_check(date, snapshot, candidate);
if !rule.allowed {
return current_qty;
}
@@ -1897,13 +1999,7 @@ where
let position = portfolio.position(symbol)?;
let snapshot = data.require_market(date, symbol).ok()?;
let candidate = data.require_candidate(date, symbol).ok()?;
let rule = self.rules.can_sell(
date,
snapshot,
candidate,
position,
self.execution_price_field,
);
let rule = self.sell_rule_check(date, snapshot, candidate, position);
if !rule.allowed {
return rule.reason;
}
@@ -1943,9 +2039,7 @@ where
) -> Option<String> {
let snapshot = data.require_market(date, symbol).ok()?;
let candidate = data.require_candidate(date, symbol).ok()?;
let rule = self
.rules
.can_buy(date, snapshot, candidate, self.execution_price_field);
let rule = self.buy_rule_check(date, snapshot, candidate);
if !rule.allowed {
return rule.reason;
}
@@ -2015,13 +2109,7 @@ where
);
}
let rule = self.rules.can_sell(
date,
snapshot,
candidate,
position,
self.execution_price_field,
);
let rule = self.sell_rule_check(date, snapshot, candidate, position);
if !rule.allowed {
let rule_reason = rule.reason.as_deref().unwrap_or_default().to_string();
let status = match rule.reason.as_deref() {
@@ -2237,7 +2325,12 @@ where
(fill.quantity, fill.legs)
} else {
let execution_price = self.snapshot_execution_price(snapshot, OrderSide::Sell);
if !self.price_satisfies_limit(
if let Some(reason) =
self.execution_limit_rejection_reason(snapshot, OrderSide::Sell, execution_price)
{
partial_fill_reason = merge_partial_fill_reason(partial_fill_reason, Some(reason));
(0, Vec::new())
} else if !self.price_satisfies_limit(
OrderSide::Sell,
execution_price,
limit_price,
@@ -2917,9 +3010,11 @@ where
let round_lot = self.round_lot(data, symbol);
let minimum_order_quantity = self.minimum_order_quantity(data, symbol);
let order_step_size = self.order_step_size(data, symbol);
let price = self.sizing_price(snapshot);
let snapshot_requested_qty = self.round_buy_quantity(
((value.abs()) / price).floor() as u32,
let price = self.value_buy_sizing_price(date, data, symbol, snapshot);
let snapshot_requested_qty = self.value_buy_quantity(
date,
value.abs(),
price,
minimum_order_quantity,
order_step_size,
);
@@ -3012,8 +3107,10 @@ where
let minimum_order_quantity = self.minimum_order_quantity(data, symbol);
let order_step_size = self.order_step_size(data, symbol);
let price = self.sizing_price(snapshot);
let snapshot_requested_qty = self.round_buy_quantity(
((value.abs()) / price).floor() as u32,
let snapshot_requested_qty = self.value_buy_quantity(
date,
value.abs(),
price,
minimum_order_quantity,
order_step_size,
);
@@ -3178,8 +3275,10 @@ where
let minimum_order_quantity = self.minimum_order_quantity(data, symbol);
let order_step_size = self.order_step_size(data, symbol);
let price = self.sizing_price(snapshot);
let snapshot_requested_qty = self.round_buy_quantity(
(value.abs() / price).floor() as u32,
let snapshot_requested_qty = self.value_buy_quantity(
date,
value.abs(),
price,
minimum_order_quantity,
order_step_size,
);
@@ -3396,14 +3495,16 @@ where
requested_qty
}
fn value_budget_gross_limit(&self, value_budget: Option<f64>) -> Option<f64> {
value_budget.map(|budget| {
if self.strict_value_budget {
budget
} else {
budget + 400.0
}
})
fn value_buy_gross_limit(
&self,
value_budget: Option<f64>,
requested_qty: u32,
reference_price: f64,
) -> Option<f64> {
if !self.strict_value_budget {
return None;
}
value_budget.map(|budget| budget.max(reference_price * requested_qty as f64))
}
fn process_buy(
@@ -3441,9 +3542,7 @@ where
);
}
let rule = self
.rules
.can_buy(date, snapshot, candidate, self.execution_price_field);
let rule = self.buy_rule_check(date, snapshot, candidate);
if !rule.allowed {
let rule_reason = rule.reason.as_deref().unwrap_or_default().to_string();
let status = match rule.reason.as_deref() {
@@ -3562,6 +3661,8 @@ where
return Ok(());
}
};
let value_gross_limit =
self.value_buy_gross_limit(value_budget, constrained_qty, self.sizing_price(snapshot));
let fill = self.resolve_execution_fill(
date,
@@ -3577,7 +3678,7 @@ where
execution_cursors,
None,
Some(portfolio.cash()),
self.value_budget_gross_limit(value_budget),
value_gross_limit,
algo_request,
limit_price,
);
@@ -3591,7 +3692,12 @@ where
(fill.quantity, fill.legs)
} else {
let execution_price = self.snapshot_execution_price(snapshot, OrderSide::Buy);
if !self.price_satisfies_limit(
if let Some(reason) =
self.execution_limit_rejection_reason(snapshot, OrderSide::Buy, execution_price)
{
partial_fill_reason = merge_partial_fill_reason(partial_fill_reason, Some(reason));
(0, Vec::new())
} else if !self.price_satisfies_limit(
OrderSide::Buy,
execution_price,
limit_price,
@@ -3608,7 +3714,7 @@ where
let filled_qty = self.affordable_buy_quantity(
date,
portfolio.cash(),
self.value_budget_gross_limit(value_budget),
value_gross_limit,
execution_price,
constrained_qty,
self.minimum_order_quantity(data, symbol),
@@ -3619,7 +3725,7 @@ where
partial_fill_reason,
self.buy_reduction_reason(
portfolio.cash(),
self.value_budget_gross_limit(value_budget),
value_gross_limit,
execution_price,
constrained_qty,
filled_qty,
@@ -3720,7 +3826,7 @@ where
.position_mut(symbol)
.buy(date, leg.quantity, leg.price);
if let Some(position) = portfolio.position_mut_if_exists(symbol) {
position.record_trade_cost(cost.total());
position.record_buy_trade_cost(leg.quantity, cost.total());
}
report.fill_events.push(FillEvent {
@@ -4054,6 +4160,31 @@ where
}
}
fn value_buy_quantity(
&self,
date: NaiveDate,
value_budget: f64,
price: f64,
minimum_order_quantity: u32,
order_step_size: u32,
) -> u32 {
if !value_budget.is_finite() || value_budget <= 0.0 || !price.is_finite() || price <= 0.0 {
return 0;
}
let minimum = minimum_order_quantity.max(1);
let raw_quantity = (value_budget / price).floor() as u32;
let mut quantity =
self.round_buy_quantity(raw_quantity, minimum_order_quantity, order_step_size);
while quantity >= minimum {
if self.estimated_buy_cash_out(date, price, quantity) <= value_budget + 1e-6 {
return quantity;
}
quantity =
self.decrement_order_quantity(quantity, minimum_order_quantity, order_step_size);
}
0
}
fn decrement_order_quantity(
&self,
quantity: u32,
@@ -4200,6 +4331,26 @@ where
}
}
fn execution_limit_rejection_reason(
&self,
snapshot: &crate::data::DailyMarketSnapshot,
side: OrderSide,
execution_price: f64,
) -> Option<&'static str> {
if !execution_price.is_finite() || execution_price <= 0.0 {
return None;
}
match side {
OrderSide::Buy if snapshot.is_at_upper_limit_price(execution_price) => {
Some("open at or above upper limit")
}
OrderSide::Sell if snapshot.is_at_lower_limit_price(execution_price) => {
Some("open at or below lower limit")
}
_ => None,
}
}
fn execution_price_with_limit_slippage(
&self,
execution_price: f64,
@@ -4213,7 +4364,10 @@ where
fn limit_order_can_remain_open(partial_reason: Option<&str>) -> bool {
!partial_reason.is_some_and(|reason| {
reason.contains("insufficient cash") || reason.contains("value budget")
reason.contains("insufficient cash")
|| reason.contains("value budget")
|| reason.contains("open at or above upper limit")
|| reason.contains("open at or below lower limit")
})
}
@@ -4334,13 +4488,16 @@ where
return None;
}
let quote_quantity_limited =
self.quote_quantity_limited_for_window(matching_type, start_cursor, end_cursor);
let lot = round_lot.max(1);
let eligible_quotes: Vec<&IntradayExecutionQuote> = quotes
.iter()
.filter(|quote| {
!start_cursor.is_some_and(|cursor| quote.timestamp < cursor)
&& !end_cursor.is_some_and(|cursor| quote.timestamp > cursor)
&& quote.volume_delta != 0
&& (!quote_quantity_limited
|| self.quote_has_executable_liquidity(quote, side, matching_type))
})
.collect();
let mut filled_qty = 0_u32;
@@ -4348,6 +4505,9 @@ where
let mut last_timestamp = None;
let mut legs = Vec::new();
let mut budget_block_reason = None;
let mut execution_block_reason = None;
let mut execution_block_timestamp = None;
let mut saw_non_blocked_execution_price = false;
let saw_quote_after_cursor = !eligible_quotes.is_empty();
for (quote_index, quote) in eligible_quotes.iter().enumerate() {
@@ -4359,6 +4519,13 @@ where
else {
continue;
};
if let Some(reason) = self.execution_limit_rejection_reason(snapshot, side, quote_price)
{
execution_block_reason.get_or_insert(reason);
execution_block_timestamp = Some(quote.timestamp);
continue;
}
saw_non_blocked_execution_price = true;
if !self.price_satisfies_limit(
side,
quote_price,
@@ -4368,21 +4535,26 @@ where
continue;
}
let quote_price = self.execution_price_with_limit_slippage(quote_price, limit_price);
let top_level_liquidity = match side {
OrderSide::Buy => quote.ask1_volume,
OrderSide::Sell => quote.bid1_volume,
};
let available_qty = top_level_liquidity
.saturating_mul(lot as u64)
.min(u32::MAX as u64) as u32;
if available_qty == 0 {
continue;
}
let remaining_qty = requested_qty.saturating_sub(filled_qty);
if remaining_qty == 0 {
break;
}
let available_qty = if quote_quantity_limited {
let top_level_liquidity = match side {
OrderSide::Buy => quote.ask1_volume,
OrderSide::Sell => quote.bid1_volume,
};
top_level_liquidity
.saturating_mul(lot as u64)
.min(u32::MAX as u64) as u32
} else {
remaining_qty
};
if available_qty == 0 {
continue;
}
let mut take_qty = if matching_type == MatchingType::Twap {
let remaining_quotes = (eligible_quotes.len() - quote_index) as u32;
let scheduled_qty =
@@ -4440,6 +4612,18 @@ where
}
if filled_qty == 0 {
if let Some(reason) = execution_block_reason
&& !saw_non_blocked_execution_price
{
return Some(ExecutionFill {
quantity: 0,
next_cursor: execution_block_timestamp
.expect("blocked execution quote timestamp")
+ Duration::seconds(1),
legs: Vec::new(),
unfilled_reason: Some(reason),
});
}
return None;
}
@@ -4466,6 +4650,45 @@ where
})
}
fn quote_has_executable_liquidity(
&self,
quote: &IntradayExecutionQuote,
side: OrderSide,
matching_type: MatchingType,
) -> bool {
if quote.volume_delta != 0 {
return true;
}
if matches!(matching_type, MatchingType::Vwap | MatchingType::Twap) {
return false;
}
match side {
OrderSide::Buy => quote.ask1_volume > 0,
OrderSide::Sell => quote.bid1_volume > 0,
}
}
fn quote_quantity_limited(&self, matching_type: MatchingType) -> bool {
self.volume_limit || self.liquidity_limit || matching_type != MatchingType::NextTickLast
}
fn quote_quantity_limited_for_window(
&self,
matching_type: MatchingType,
start_cursor: Option<NaiveDateTime>,
end_cursor: Option<NaiveDateTime>,
) -> bool {
if matching_type == MatchingType::Twap
&& !self.volume_limit
&& !self.liquidity_limit
&& start_cursor.is_some()
&& start_cursor == end_cursor
{
return false;
}
self.quote_quantity_limited(matching_type)
}
fn uses_serial_execution_cursor(&self, reason: &str) -> bool {
let _ = reason;
false
@@ -4497,7 +4720,9 @@ fn zero_fill_status_for_reason(reason: &str) -> OrderStatus {
"tick no volume"
| "tick volume limit"
| "intraday quote liquidity exhausted"
| "no execution quotes after start" => OrderStatus::Canceled,
| "no execution quotes after start"
| "open at or above upper limit"
| "open at or below lower limit" => OrderStatus::Canceled,
_ => OrderStatus::Rejected,
}
}
@@ -4507,7 +4732,9 @@ fn final_partial_fill_status(partial_reason: Option<&str>) -> OrderStatus {
Some(reason)
if reason.contains("market liquidity or volume limit")
|| reason.contains("intraday quote liquidity exhausted")
|| reason.contains("no execution quotes after start") =>
|| reason.contains("no execution quotes after start")
|| reason.contains("open at or above upper limit")
|| reason.contains("open at or below lower limit") =>
{
OrderStatus::Canceled
}
@@ -4531,3 +4758,226 @@ fn sell_reason(decision: &StrategyDecision, symbol: &str) -> &'static str {
"rebalance_sell"
}
}
#[cfg(test)]
mod tests {
use super::{BrokerSimulator, MatchingType};
use crate::cost::ChinaAShareCostModel;
use crate::data::{
CandidateEligibility, DailyMarketSnapshot, IntradayExecutionQuote, PriceField,
};
use crate::events::OrderSide;
use crate::rules::ChinaEquityRuleHooks;
fn limit_test_snapshot() -> DailyMarketSnapshot {
let date = chrono::NaiveDate::from_ymd_opt(2025, 1, 2).expect("valid date");
DailyMarketSnapshot {
date,
symbol: "000001.SZ".to_string(),
timestamp: Some("2025-01-02 09:33:00".to_string()),
day_open: 10.0,
open: 10.0,
high: 10.5,
low: 9.5,
close: 10.0,
last_price: 10.0,
bid1: 10.0,
ask1: 10.0,
prev_close: 10.0,
volume: 1_000_000,
tick_volume: 10_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,
}
}
fn limit_test_quote(last_price: f64, bid1: f64, ask1: f64) -> IntradayExecutionQuote {
let date = chrono::NaiveDate::from_ymd_opt(2025, 1, 2).expect("valid date");
IntradayExecutionQuote {
date,
symbol: "000001.SZ".to_string(),
timestamp: date.and_hms_opt(9, 33, 0).expect("valid timestamp"),
last_price,
bid1,
ask1,
bid1_volume: 1_000,
ask1_volume: 1_000,
volume_delta: 1_000,
amount_delta: last_price * 1_000.0,
trading_phase: Some("continuous".to_string()),
}
}
fn limit_test_candidate(allow_buy: bool, allow_sell: bool) -> CandidateEligibility {
let date = chrono::NaiveDate::from_ymd_opt(2025, 1, 2).expect("valid date");
CandidateEligibility {
date,
symbol: "000001.SZ".to_string(),
is_st: false,
is_new_listing: false,
is_paused: false,
allow_buy,
allow_sell,
is_kcb: false,
is_one_yuan: false,
}
}
#[test]
fn next_tick_last_without_volume_or_liquidity_limit_does_not_cap_quote_quantity() {
let broker = BrokerSimulator::new(ChinaAShareCostModel::default(), ChinaEquityRuleHooks)
.with_volume_limit(false)
.with_liquidity_limit(false);
assert!(!broker.quote_quantity_limited(MatchingType::NextTickLast));
assert!(broker.quote_quantity_limited(MatchingType::CounterpartyOffer));
}
#[test]
fn next_tick_last_keeps_quote_quantity_cap_when_limits_enabled() {
let volume_limited =
BrokerSimulator::new(ChinaAShareCostModel::default(), ChinaEquityRuleHooks)
.with_volume_limit(true)
.with_liquidity_limit(false);
let liquidity_limited =
BrokerSimulator::new(ChinaAShareCostModel::default(), ChinaEquityRuleHooks)
.with_volume_limit(false)
.with_liquidity_limit(true);
assert!(volume_limited.quote_quantity_limited(MatchingType::NextTickLast));
assert!(liquidity_limited.quote_quantity_limited(MatchingType::NextTickLast));
}
#[test]
fn instantaneous_twap_without_limits_does_not_cap_quote_quantity() {
let broker = BrokerSimulator::new(ChinaAShareCostModel::default(), ChinaEquityRuleHooks)
.with_volume_limit(false)
.with_liquidity_limit(false);
let cursor = chrono::NaiveDate::from_ymd_opt(2025, 11, 3)
.unwrap()
.and_hms_opt(9, 31, 0)
.unwrap();
assert!(!broker.quote_quantity_limited_for_window(
MatchingType::Twap,
Some(cursor),
Some(cursor)
));
assert!(broker.quote_quantity_limited_for_window(
MatchingType::Twap,
Some(cursor),
Some(cursor + chrono::Duration::minutes(1))
));
}
#[test]
fn intraday_execution_rejects_buy_at_upper_limit_price() {
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks,
PriceField::Last,
)
.with_volume_limit(false)
.with_liquidity_limit(false)
.with_inactive_limit(false);
let snapshot = limit_test_snapshot();
let quote = limit_test_quote(11.0, 10.99, 11.0);
let start = quote.timestamp;
let fill = broker
.select_execution_fill(
&snapshot,
&[quote],
OrderSide::Buy,
MatchingType::NextTickLast,
Some(start),
None,
100,
100,
100,
100,
false,
None,
None,
None,
)
.expect("zero fill with rejection reason");
assert_eq!(fill.quantity, 0);
assert_eq!(fill.unfilled_reason, Some("open at or above upper limit"));
}
#[test]
fn aiquant_rules_allow_buy_when_day_flags_block_but_last_price_is_tradable() {
let mut snapshot = limit_test_snapshot();
snapshot.open = 11.0;
snapshot.day_open = 11.0;
snapshot.last_price = 10.98;
snapshot.ask1 = 11.0;
let candidate = limit_test_candidate(false, true);
let date = snapshot.date;
let default_broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks,
PriceField::Last,
);
let default_rule = default_broker.buy_rule_check(date, &snapshot, &candidate);
assert!(!default_rule.allowed);
assert_eq!(
default_rule.reason.as_deref(),
Some("buy disabled by eligibility flags")
);
let aiquant_broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks,
PriceField::Last,
)
.with_aiquant_rqalpha_execution_rules(true);
let aiquant_rule = aiquant_broker.buy_rule_check(date, &snapshot, &candidate);
assert!(aiquant_rule.allowed);
}
#[test]
fn intraday_execution_rejects_sell_at_lower_limit_price() {
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks,
PriceField::Last,
)
.with_volume_limit(false)
.with_liquidity_limit(false)
.with_inactive_limit(false);
let snapshot = limit_test_snapshot();
let quote = limit_test_quote(9.0, 9.0, 9.01);
let start = quote.timestamp;
let fill = broker
.select_execution_fill(
&snapshot,
&[quote],
OrderSide::Sell,
MatchingType::NextTickLast,
Some(start),
None,
100,
100,
100,
100,
false,
None,
None,
None,
)
.expect("zero fill with rejection reason");
assert_eq!(fill.quantity, 0);
assert_eq!(fill.unfilled_reason, Some("open at or below lower limit"));
}
}

View File

@@ -44,7 +44,7 @@ pub struct ChinaAShareCostModel {
impl Default for ChinaAShareCostModel {
fn default() -> Self {
Self {
commission_rate: 0.0003,
commission_rate: 0.0008,
stamp_tax_rate_before_change: 0.001,
stamp_tax_rate_after_change: 0.0005,
minimum_commission: 5.0,
@@ -53,6 +53,14 @@ impl Default for ChinaAShareCostModel {
}
impl ChinaAShareCostModel {
pub fn aiquant_rqalpha_default() -> Self {
Self {
stamp_tax_rate_before_change: 0.0005,
stamp_tax_rate_after_change: 0.0005,
..Self::default()
}
}
pub fn commission_for(&self, gross_amount: f64) -> f64 {
if gross_amount <= 0.0 {
return 0.0;

View File

@@ -452,11 +452,11 @@ struct SymbolPriceSeries {
closes: Vec<f64>,
prev_closes: Vec<f64>,
last_prices: Vec<f64>,
paused: Vec<bool>,
open_prefix: Vec<f64>,
close_prefix: Vec<f64>,
prev_close_prefix: Vec<f64>,
last_prefix: Vec<f64>,
volume_prefix: Vec<f64>,
}
impl SymbolPriceSeries {
@@ -469,15 +469,11 @@ impl SymbolPriceSeries {
let closes = sorted.iter().map(|row| row.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 volumes = sorted
.iter()
.map(|row| row.volume as f64)
.collect::<Vec<_>>();
let paused = sorted.iter().map(|row| row.paused).collect::<Vec<_>>();
let open_prefix = prefix_sums(&opens);
let close_prefix = prefix_sums(&closes);
let prev_close_prefix = prefix_sums(&prev_closes);
let last_prefix = prefix_sums(&last_prices);
let volume_prefix = prefix_sums(&volumes);
Self {
snapshots: sorted,
@@ -486,11 +482,11 @@ impl SymbolPriceSeries {
closes,
prev_closes,
last_prices,
paused,
open_prefix,
close_prefix,
prev_close_prefix,
last_prefix,
volume_prefix,
}
}
@@ -587,15 +583,24 @@ impl SymbolPriceSeries {
}
fn decision_volume_moving_average(&self, date: NaiveDate, lookback: usize) -> Option<f64> {
let values = self.decision_volume_values(date, lookback)?;
if values.len() < lookback {
return None;
}
let sum = values.iter().sum::<f64>();
Some(sum / lookback as f64)
}
fn current_volume_moving_average(&self, date: NaiveDate, lookback: usize) -> Option<f64> {
if lookback == 0 {
return None;
}
let end = self.previous_completed_end_index(date)?;
if end < lookback {
let end = self.end_index(date)?;
let values = self.trailing_unpaused_volumes(end, lookback)?;
if values.len() < lookback {
return None;
}
let start = end - lookback;
let sum = self.volume_prefix[end] - self.volume_prefix[start];
let sum = values.iter().sum::<f64>();
Some(sum / lookback as f64)
}
@@ -604,16 +609,33 @@ impl SymbolPriceSeries {
return None;
}
let end = self.previous_completed_end_index(date)?;
if end < lookback {
let values = self.trailing_unpaused_volumes(end, lookback)?;
if values.len() < lookback {
return None;
}
let start = end - lookback;
Some(
self.snapshots[start..end]
.iter()
.map(|snapshot| snapshot.volume as f64)
.collect(),
)
Some(values)
}
fn trailing_unpaused_volumes(&self, end: usize, lookback: usize) -> Option<Vec<f64>> {
if lookback == 0 || end == 0 {
return None;
}
let mut values = Vec::with_capacity(lookback);
for idx in (0..end).rev() {
if self.paused.get(idx).copied().unwrap_or(false) {
continue;
}
values.push(self.snapshots[idx].volume as f64);
if values.len() == lookback {
break;
}
}
if values.len() < lookback {
None
} else {
values.reverse();
Some(values)
}
}
fn end_index(&self, date: NaiveDate) -> Option<usize> {
@@ -641,6 +663,14 @@ impl SymbolPriceSeries {
self.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] {
match field {
PriceField::DayOpen => &self.open_prefix,
@@ -1815,6 +1845,12 @@ impl DataSet {
.and_then(|series| series.price_on_or_before(date, field))
}
pub fn market_before(&self, date: NaiveDate, symbol: &str) -> Option<&DailyMarketSnapshot> {
self.market_series_by_symbol
.get(symbol)
.and_then(|series| series.snapshot_before(date))
}
pub fn factor_snapshots_on(&self, date: NaiveDate) -> Vec<&DailyFactorSnapshot> {
self.factor_by_date
.get(&date)
@@ -2065,6 +2101,36 @@ impl DataSet {
}
}
pub fn market_current_numeric_moving_average(
&self,
date: NaiveDate,
symbol: &str,
field: &str,
lookback: usize,
) -> Option<f64> {
let field = normalize_field(field);
match field.as_str() {
"close" | "prev_close" | "stock_close" | "price" => {
self.market_moving_average(date, symbol, lookback, PriceField::Close)
}
"volume" | "stock_volume" => self
.factor_moving_average(date, symbol, "daily_volume", lookback)
.or_else(|| {
self.market_series_by_symbol
.get(symbol)
.and_then(|series| series.current_volume_moving_average(date, lookback))
}),
"day_open" | "dayopen" => {
self.market_moving_average(date, symbol, lookback, PriceField::DayOpen)
}
"open" => self.market_moving_average(date, symbol, lookback, PriceField::Open),
"last" | "last_price" => {
self.market_moving_average(date, symbol, lookback, PriceField::Last)
}
other => self.factor_moving_average(date, symbol, other, lookback),
}
}
pub fn market_decision_numeric_values(
&self,
date: NaiveDate,
@@ -3328,6 +3394,33 @@ mod tests {
);
}
#[test]
fn decision_volume_average_skips_paused_days_before_counting_window() {
let mut paused = market_row("2025-01-03", 11.0, 0);
paused.paused = true;
let series = SymbolPriceSeries::new(&[
market_row("2025-01-02", 10.0, 100),
paused,
market_row("2025-01-06", 12.0, 300),
market_row("2025-01-07", 13.0, 10_000),
]);
assert_eq!(
series.decision_volume_moving_average(
NaiveDate::parse_from_str("2025-01-07", "%Y-%m-%d").unwrap(),
2
),
Some(200.0)
);
assert_eq!(
series.decision_volume_moving_average(
NaiveDate::parse_from_str("2025-01-07", "%Y-%m-%d").unwrap(),
3
),
None
);
}
#[test]
fn reads_mixed_numeric_and_text_extra_factors_from_quoted_csv_json() {
let path = temp_csv_path("mixed_factor_maps");

View File

@@ -313,6 +313,7 @@ pub struct BacktestEngine<S, C, R> {
broker: BrokerSimulator<C, R>,
config: BacktestConfig,
dividend_reinvestment: bool,
cash_dividends_enabled: bool,
process_event_bus: ProcessEventBus,
dynamic_universe: Option<BTreeSet<String>>,
subscriptions: BTreeSet<String>,
@@ -338,6 +339,7 @@ impl<S, C, R> BacktestEngine<S, C, R> {
broker,
config,
dividend_reinvestment: false,
cash_dividends_enabled: true,
process_event_bus: ProcessEventBus::new(),
dynamic_universe: None,
subscriptions: BTreeSet::new(),
@@ -356,6 +358,11 @@ impl<S, C, R> BacktestEngine<S, C, R> {
self
}
pub fn with_cash_dividends(mut self, enabled: bool) -> Self {
self.cash_dividends_enabled = enabled;
self
}
pub fn with_futures_account(mut self, account: FuturesAccountState) -> Self {
self.futures_account = Some(account);
self
@@ -2127,7 +2134,12 @@ where
}
}
portfolio.update_prices(execution_date, &self.data, PriceField::Close)?;
portfolio.update_prices_with_options(
execution_date,
&self.data,
PriceField::Close,
self.broker.same_day_buy_close_mark_at_fill(),
)?;
let post_trade_open_orders = self.open_order_views();
let visible_order_events = result
@@ -2516,7 +2528,7 @@ where
continue;
}
if action.share_cash.abs() > f64::EPSILON {
if self.cash_dividends_enabled && action.share_cash.abs() > f64::EPSILON {
let cash_before = portfolio.cash();
let (cash_delta, quantity_after, average_cost) = {
let position = portfolio
@@ -2985,24 +2997,17 @@ where
}
let quantity = position.quantity;
let fallback_reference_price = if position.last_price > 0.0 {
let settlement_price = if position.last_price.is_finite() && position.last_price > 0.0 {
position.last_price
} else {
} else if position.average_cost.is_finite() && position.average_cost > 0.0 {
position.average_cost
} else {
0.0
};
let effective_delisted_at = instrument
.delisted_at
.or_else(|| self.data.calendar().previous_day(date))
.unwrap_or(date);
let settlement_price = self
.data
.price_on_or_before(effective_delisted_at, &symbol, PriceField::Close)
.or_else(|| {
self.data
.price_on_or_before(date, &symbol, PriceField::Close)
})
.filter(|price| price.is_finite() && *price > 0.0)
.unwrap_or(fallback_reference_price);
if !settlement_price.is_finite() || settlement_price <= 0.0 {
return Err(BacktestError::Execution(format!(
"missing delisting settlement price for {} on {}",

File diff suppressed because it is too large Load Diff

View File

@@ -223,6 +223,7 @@ const RUNTIME_HELPER_FUNCTIONS: &[&str] = &[
"factor",
"day_factor",
"rolling_mean",
"rolling_mean_current",
"ma",
"sma",
"vma",

View File

@@ -52,6 +52,8 @@ pub struct StrategyUniverseSpec {
#[derive(Debug, Clone, Default, Deserialize, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct StrategyExecutionSpec {
#[serde(default)]
pub compatibility_profile: Option<String>,
#[serde(default)]
pub matching_type: Option<String>,
#[serde(default)]
@@ -156,6 +158,8 @@ pub struct IndexThrottleConfig {
#[derive(Debug, Clone, Default, Deserialize, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct SkipWindowConfig {
#[serde(default)]
pub year: Option<u32>,
#[serde(default)]
pub month: Option<u32>,
#[serde(default)]
@@ -368,6 +372,13 @@ pub fn platform_expr_config_from_spec(
{
cfg.rebalance_schedule = Some(schedule);
}
if let Some(time) = engine
.rebalance_schedule
.as_ref()
.and_then(parse_schedule_execution_time)
{
cfg.intraday_execution_time = Some(time);
}
if let Some(stock_ma_filter) = engine.stock_ma_filter.as_ref() {
if let Some(days) = stock_ma_filter.short_days.filter(|value| *value > 0) {
cfg.stock_short_ma_days = days;
@@ -391,7 +402,14 @@ pub fn platform_expr_config_from_spec(
cfg.skip_month_day_ranges = engine
.skip_windows
.iter()
.filter_map(|window| Some((window.month?, window.start_day?, window.end_day?)))
.filter_map(|window| {
Some((
window.year,
window.month?,
window.start_day?,
window.end_day?,
))
})
.collect();
}
if let Some(spec_signal_symbol) = engine
@@ -490,6 +508,13 @@ pub fn platform_expr_config_from_spec(
{
cfg.rebalance_schedule = Some(schedule);
}
if let Some(time) = runtime_expr
.schedule
.as_ref()
.and_then(parse_schedule_execution_time)
{
cfg.intraday_execution_time = Some(time);
}
if let Some(selection) = runtime_expr.selection.as_ref() {
if let Some(expr) = selection
.limit_expr
@@ -619,6 +644,13 @@ pub fn platform_expr_config_from_spec(
{
cfg.explicit_action_schedule = Some(schedule);
}
if let Some(time) = trading
.schedule
.as_ref()
.and_then(parse_schedule_execution_time)
{
cfg.intraday_execution_time = Some(time);
}
cfg.explicit_actions = trading
.actions
.iter()
@@ -679,6 +711,16 @@ pub fn platform_expr_config_from_spec(
if !cfg.benchmark_symbol.trim().is_empty() {
cfg.benchmark_symbol = normalize_symbol(&cfg.benchmark_symbol, None);
}
if spec
.execution
.as_ref()
.and_then(|execution| execution.compatibility_profile.as_deref())
.map(|value| value.trim().to_ascii_lowercase())
.is_some_and(|value| value == "aiquant_rqalpha" || value == "aiquant")
{
cfg.calendar_rebalance_interval = true;
cfg.aiquant_transaction_cost = true;
}
cfg
}
@@ -735,6 +777,16 @@ fn parse_schedule_time_rule(
}
}
fn parse_schedule_execution_time(schedule: &StrategyExpressionScheduleConfig) -> Option<NaiveTime> {
match parse_schedule_time_rule(schedule)? {
ScheduleTimeRule::BeforeTrading => NaiveTime::from_hms_opt(9, 0, 0),
ScheduleTimeRule::MinuteOfDay(minutes) => {
let seconds = minutes.checked_mul(60)?;
NaiveTime::from_num_seconds_from_midnight_opt(seconds, 0)
}
}
}
fn parse_schedule_clock_time(raw: Option<&str>) -> Option<NaiveTime> {
let value = raw?.trim();
if value.is_empty() {
@@ -1051,6 +1103,7 @@ mod tests {
"signalSymbol": "000852.SH",
"benchmark": { "instrumentId": "000852.SH" },
"universe": { "exclude": ["paused", "st", "kcb", "one_yuan"] },
"execution": { "compatibilityProfile": "aiquant_rqalpha" },
"runtimeExpressions": {
"prelude": "let stocknum = 8;",
"selection": {
@@ -1085,10 +1138,32 @@ mod tests {
assert!(!cfg.rotation_enabled);
assert!(cfg.daily_top_up_enabled);
assert!(cfg.retry_empty_rebalance);
assert!(cfg.calendar_rebalance_interval);
assert!(cfg.aiquant_transaction_cost);
assert_eq!(cfg.explicit_actions.len(), 1);
assert_eq!(
cfg.explicit_action_stage,
PlatformExplicitActionStage::OpenAuction
);
}
#[test]
fn parses_daily_schedule_time_for_aiquant_execution_quotes() {
let spec = serde_json::json!({
"execution": { "compatibilityProfile": "aiquant_rqalpha" },
"runtimeExpressions": {
"schedule": { "frequency": "daily", "time": "09:33" }
}
});
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
assert_eq!(cfg.rebalance_schedule, None);
assert_eq!(
cfg.intraday_execution_time,
Some(NaiveTime::from_hms_opt(9, 33, 0).unwrap())
);
assert!(cfg.calendar_rebalance_interval);
assert!(cfg.aiquant_transaction_cost);
}
}

View File

@@ -1,7 +1,7 @@
use chrono::NaiveDate;
use indexmap::IndexMap;
use serde::Serialize;
use std::collections::BTreeMap;
use std::collections::{BTreeMap, BTreeSet};
use crate::data::{DataSet, DataSetError, PriceField};
@@ -9,6 +9,7 @@ use crate::data::{DataSet, DataSetError, PriceField};
pub struct PositionLot {
pub acquired_date: NaiveDate,
pub quantity: u32,
pub entry_price: f64,
pub price: f64,
}
@@ -72,6 +73,7 @@ impl Position {
self.lots.push(PositionLot {
acquired_date: date,
quantity,
entry_price: price,
price,
});
self.quantity += quantity;
@@ -205,6 +207,22 @@ impl Position {
}
}
pub fn record_buy_trade_cost(&mut self, quantity: u32, value: f64) {
if quantity == 0 || !value.is_finite() {
return;
}
let cost = value.max(0.0);
if cost <= 0.0 {
return;
}
if let Some(lot) = self.lots.last_mut() {
lot.price += cost / quantity as f64;
self.recalculate_average_cost();
}
self.day_trade_cost += cost;
self.refresh_day_pnl();
}
pub fn set_dividend_receivable(&mut self, value: f64) {
self.dividend_receivable = if value.is_finite() {
value.max(0.0)
@@ -214,13 +232,28 @@ impl Position {
}
pub fn holding_return(&self, price: f64) -> Option<f64> {
if self.quantity == 0 || self.average_cost <= 0.0 {
let Some(avg_price) = self.average_entry_price() else {
return None;
};
if avg_price <= 0.0 {
None
} else {
Some((price / self.average_cost) - 1.0)
Some((price / avg_price) - 1.0)
}
}
pub fn average_entry_price(&self) -> Option<f64> {
if self.quantity == 0 {
return None;
}
let total = self
.lots
.iter()
.map(|lot| lot.entry_price * lot.quantity as f64)
.sum::<f64>();
Some(total / self.quantity as f64)
}
fn recalculate_average_cost(&mut self) {
if self.quantity == 0 {
self.average_cost = 0.0;
@@ -242,6 +275,7 @@ impl Position {
}
for lot in &mut self.lots {
lot.entry_price -= dividend_per_share;
lot.price -= dividend_per_share;
}
self.average_cost -= dividend_per_share;
@@ -264,6 +298,7 @@ impl Position {
.map(|lot| PositionLot {
acquired_date: lot.acquired_date,
quantity: round_half_up_u32(lot.quantity as f64 * ratio),
entry_price: lot.entry_price / ratio,
price: lot.price / ratio,
})
.collect::<Vec<_>>();
@@ -316,6 +351,7 @@ pub struct PortfolioState {
positions: IndexMap<String, Position>,
cash_receivables: Vec<CashReceivable>,
pending_cash_flows: Vec<PendingCashFlow>,
day_sold_symbols: BTreeSet<String>,
}
#[derive(Debug, Clone)]
@@ -348,6 +384,7 @@ impl PortfolioState {
positions: IndexMap::new(),
cash_receivables: Vec::new(),
pending_cash_flows: Vec::new(),
day_sold_symbols: BTreeSet::new(),
}
}
@@ -402,7 +439,18 @@ impl PortfolioState {
}
pub fn prune_flat_positions(&mut self) {
self.positions.retain(|_, position| !position.is_flat());
let mut sold_symbols = Vec::new();
self.positions.retain(|symbol, position| {
if position.is_flat() {
if position.sold_quantity() > 0 {
sold_symbols.push(symbol.clone());
}
false
} else {
true
}
});
self.day_sold_symbols.extend(sold_symbols);
}
pub fn add_cash_receivable(&mut self, receivable: CashReceivable) {
@@ -538,6 +586,7 @@ impl PortfolioState {
}
pub fn begin_trading_day(&mut self) {
self.day_sold_symbols.clear();
for position in self.positions.values_mut() {
position.begin_trading_day();
}
@@ -550,7 +599,31 @@ impl PortfolioState {
data: &DataSet,
field: PriceField,
) -> Result<(), DataSetError> {
self.update_prices_with_options(date, data, field, false)
}
pub fn update_prices_with_options(
&mut self,
date: NaiveDate,
data: &DataSet,
field: PriceField,
same_day_buy_close_mark_at_fill: bool,
) -> Result<(), DataSetError> {
let day_sold_symbols = self.day_sold_symbols.clone();
for position in self.positions.values_mut() {
let sold_today =
position.sold_quantity() > 0 || day_sold_symbols.contains(&position.symbol);
if same_day_buy_close_mark_at_fill
&& field == PriceField::Close
&& position.day_buy_quantity > 0
&& !sold_today
&& position.sellable_qty(date) == 0
&& position.last_price.is_finite()
&& position.last_price > 0.0
{
position.refresh_day_pnl();
continue;
}
let price = data
.price(date, &position.symbol, field)
.or_else(|| data.price_on_or_before(date, &position.symbol, field))
@@ -705,6 +778,7 @@ impl PortfolioState {
.map(|lot| PositionLot {
acquired_date: lot.acquired_date,
quantity: round_half_up_u32(lot.quantity as f64 * ratio),
entry_price: lot.entry_price / ratio,
price: lot.price / ratio,
})
.collect::<Vec<_>>();
@@ -801,6 +875,18 @@ mod tests {
);
}
#[test]
fn strategy_entry_price_excludes_buy_commission_cost_basis() {
let date = NaiveDate::from_ymd_opt(2025, 1, 2).unwrap();
let mut position = Position::new("600561.SH");
position.buy(date, 22_200, 5.66);
position.record_buy_trade_cost(22_200, 100.0);
assert!(position.average_cost > 5.66);
assert!((position.average_entry_price().unwrap() - 5.66).abs() < 1e-12);
assert!((position.holding_return(6.06).unwrap() - (6.06 / 5.66 - 1.0)).abs() < 1e-12);
}
#[test]
fn portfolio_tracks_dividend_receivable_and_day_pnl() {
let prev_date = NaiveDate::from_ymd_opt(2025, 1, 2).unwrap();
@@ -1066,6 +1152,132 @@ mod tests {
assert!(position.position_pnl.abs() < 1e-6);
}
#[test]
fn portfolio_marks_same_day_buy_at_fill_until_next_trading_day() {
let buy_date = NaiveDate::from_ymd_opt(2025, 2, 10).unwrap();
let next_date = NaiveDate::from_ymd_opt(2025, 2, 11).unwrap();
let symbol = "002652.SZ";
let mut portfolio = PortfolioState::new(20_000.0);
portfolio.position_mut(symbol).buy(buy_date, 1300, 3.01);
let dataset = DataSet::from_components(
vec![Instrument {
symbol: symbol.to_string(),
name: "Same Day Buy Test".to_string(),
board: "SZ".to_string(),
round_lot: 100,
listed_at: None,
delisted_at: None,
status: "active".to_string(),
}],
vec![
DailyMarketSnapshot {
date: buy_date,
symbol: symbol.to_string(),
timestamp: None,
day_open: 2.99,
open: 2.99,
high: 3.06,
low: 2.98,
close: 3.06,
last_price: 3.06,
bid1: 3.01,
ask1: 3.02,
prev_close: 2.98,
volume: 152_975,
tick_volume: 152_975,
bid1_volume: 338,
ask1_volume: 2476,
trading_phase: None,
paused: false,
upper_limit: 3.28,
lower_limit: 2.68,
price_tick: 0.01,
},
DailyMarketSnapshot {
date: next_date,
symbol: symbol.to_string(),
timestamp: None,
day_open: 3.03,
open: 3.03,
high: 3.08,
low: 3.00,
close: 3.07,
last_price: 3.07,
bid1: 3.06,
ask1: 3.07,
prev_close: 3.06,
volume: 160_000,
tick_volume: 160_000,
bid1_volume: 1000,
ask1_volume: 1000,
trading_phase: None,
paused: false,
upper_limit: 3.37,
lower_limit: 2.75,
price_tick: 0.01,
},
],
Vec::new(),
Vec::new(),
vec![
BenchmarkSnapshot {
date: buy_date,
benchmark: "000852.SH".to_string(),
open: 1000.0,
close: 1000.0,
prev_close: 999.0,
volume: 1000,
},
BenchmarkSnapshot {
date: next_date,
benchmark: "000852.SH".to_string(),
open: 1001.0,
close: 1001.0,
prev_close: 1000.0,
volume: 1000,
},
],
)
.expect("dataset");
portfolio
.update_prices_with_options(buy_date, &dataset, PriceField::Close, true)
.expect("same day close");
let position = portfolio.position(symbol).expect("position");
assert!((position.last_price - 3.01).abs() < 1e-9);
assert!((position.market_value() - 3913.0).abs() < 1e-6);
portfolio.begin_trading_day();
portfolio
.update_prices(next_date, &dataset, PriceField::Close)
.expect("next day close");
let position = portfolio.position(symbol).expect("position");
assert!((position.last_price - 3.07).abs() < 1e-9);
assert!((position.market_value() - 3991.0).abs() < 1e-6);
let prev_date = NaiveDate::from_ymd_opt(2025, 2, 7).unwrap();
let mut roundtrip_portfolio = PortfolioState::new(20_000.0);
roundtrip_portfolio
.position_mut(symbol)
.buy(prev_date, 2000, 2.90);
roundtrip_portfolio.begin_trading_day();
roundtrip_portfolio
.position_mut(symbol)
.sell(2000, 3.01)
.expect("same day sell");
roundtrip_portfolio.prune_flat_positions();
roundtrip_portfolio
.position_mut(symbol)
.buy(buy_date, 1800, 3.01);
roundtrip_portfolio
.update_prices(buy_date, &dataset, PriceField::Close)
.expect("same day roundtrip close");
let position = roundtrip_portfolio.position(symbol).expect("position");
assert!((position.last_price - 3.06).abs() < 1e-9);
assert!((position.market_value() - 5508.0).abs() < 1e-6);
}
#[test]
fn position_tracks_day_lifecycle_fields() {
let prev_date = NaiveDate::from_ymd_opt(2025, 1, 2).unwrap();

View File

@@ -1104,7 +1104,7 @@ pub struct CnSmallCapRotationConfig {
pub take_profit_pct: f64,
pub signal_symbol: Option<String>,
pub skip_months: Vec<u32>,
pub skip_month_day_ranges: Vec<(u32, u32, u32)>,
pub skip_month_day_ranges: Vec<(Option<u32>, u32, u32, u32)>,
}
impl CnSmallCapRotationConfig {
@@ -1159,23 +1159,29 @@ impl CnSmallCapRotationConfig {
signal_symbol: Some("000852.SH".to_string()),
skip_months: vec![],
skip_month_day_ranges: vec![
(1, 15, 30),
(4, 15, 29),
(8, 15, 31),
(10, 20, 30),
(12, 20, 30),
(None, 1, 15, 30),
(None, 4, 15, 29),
(None, 8, 15, 31),
(None, 10, 20, 30),
(None, 12, 20, 30),
],
}
}
fn in_skip_window(&self, date: NaiveDate) -> bool {
let year = date.year() as u32;
let month = date.month();
let day = date.day();
self.skip_months.contains(&month)
|| self
.skip_month_day_ranges
.iter()
.any(|(m, start_day, end_day)| month == *m && day >= *start_day && day <= *end_day)
.any(|(window_year, m, start_day, end_day)| {
window_year.map(|value| value == year).unwrap_or(true)
&& month == *m
&& day >= *start_day
&& day <= *end_day
})
}
}
@@ -1533,7 +1539,7 @@ pub struct OmniMicroCapConfig {
pub trade_rate: f64,
pub stop_loss_ratio: f64,
pub take_profit_ratio: f64,
pub skip_month_day_ranges: Vec<(u32, u32, u32)>,
pub skip_month_day_ranges: Vec<(Option<u32>, u32, u32, u32)>,
}
impl OmniMicroCapConfig {
@@ -1592,11 +1598,17 @@ impl OmniMicroCapConfig {
}
fn in_skip_window(&self, date: NaiveDate) -> bool {
let year = date.year() as u32;
let month = date.month();
let day = date.day();
self.skip_month_day_ranges
.iter()
.any(|(m, start_day, end_day)| month == *m && day >= *start_day && day <= *end_day)
.any(|(window_year, m, start_day, end_day)| {
window_year.map(|value| value == year).unwrap_or(true)
&& month == *m
&& day >= *start_day
&& day <= *end_day
})
}
}
@@ -1768,11 +1780,23 @@ impl OmniMicroCapStrategy {
if !sizing_price.is_finite() || sizing_price <= 0.0 {
return 0;
}
let snapshot_requested_qty = self.round_lot_quantity(
let mut snapshot_requested_qty = self.round_lot_quantity(
((projected.cash().min(order_value)) / sizing_price).floor() as u32,
minimum_order_quantity,
order_step_size,
);
while snapshot_requested_qty > 0 {
let gross_amount = sizing_price * snapshot_requested_qty as f64;
let cash_out = gross_amount + self.buy_commission(gross_amount);
if cash_out <= order_value + 1e-6 && cash_out <= projected.cash() + 1e-6 {
break;
}
snapshot_requested_qty = self.decrement_order_quantity(
snapshot_requested_qty,
minimum_order_quantity,
order_step_size,
);
}
let projected_execution_price = self.projected_execution_price(market, OrderSide::Buy);
let projected_fill = self.projected_select_execution_fill(
ctx,
@@ -1784,14 +1808,15 @@ impl OmniMicroCapStrategy {
minimum_order_quantity,
order_step_size,
false,
Some(projected.cash()),
Some(order_value + 400.0),
Some(projected.cash().min(order_value)),
Some(order_value),
execution_state,
);
let mut quantity = snapshot_requested_qty;
while quantity > 0 {
let gross_amount = projected_execution_price * quantity as f64;
if gross_amount <= order_value + 400.0 && gross_amount <= projected.cash() + 1e-6 {
let cash_out = gross_amount + self.buy_commission(gross_amount);
if cash_out <= order_value + 1e-6 && cash_out <= projected.cash() + 1e-6 {
break;
}
quantity =
@@ -1806,7 +1831,8 @@ impl OmniMicroCapStrategy {
.unwrap_or(projected_execution_price);
while quantity > 0 {
let gross_amount = execution_price * quantity as f64;
if gross_amount <= projected.cash() + 1e-6 {
let cash_out = gross_amount + self.buy_commission(gross_amount);
if cash_out <= order_value + 1e-6 && cash_out <= projected.cash() + 1e-6 {
break;
}
quantity =
@@ -1822,7 +1848,7 @@ impl OmniMicroCapStrategy {
};
let gross_amount = fill.price * fill.quantity as f64;
let cash_out = gross_amount + self.buy_commission(gross_amount);
if gross_amount > projected.cash() + 1e-6 {
if cash_out > projected.cash() + 1e-6 || cash_out > order_value + 1e-6 {
return 0;
}
projected.apply_cash_delta(-cash_out);
@@ -2151,7 +2177,7 @@ impl OmniMicroCapStrategy {
symbol: self.config.benchmark_signal_symbol.clone(),
field: "decision_close",
})?;
// 前一交易日的指数价格(用于市值区间计算,模拟实盘场景)
let prev_level = if let Some(prev_date) = ctx.data.previous_trading_date(date, 1) {
ctx.data
@@ -2160,7 +2186,7 @@ impl OmniMicroCapStrategy {
} else {
current_level
};
let ma_short = ctx
.data
.market_decision_close_moving_average(
@@ -2200,16 +2226,16 @@ impl OmniMicroCapStrategy {
+ self.config.base_cap_floor;
let start = y.round();
let end = start + self.config.cap_span;
// Apply padding to expand the range
let span = end - start;
let padding = (span * self.config.padding_ratio)
.max(self.config.min_padding)
.min(self.config.max_padding);
let lower_bound = (start - padding).max(0.0);
let upper_bound = end + padding;
(lower_bound, upper_bound)
}
@@ -2242,8 +2268,9 @@ impl OmniMicroCapStrategy {
};
// MA filter: ma_short > ma_mid * rsi_rate && ma_mid * rsi_rate > ma_long
let ma_pass = ma_short > ma_mid * self.config.rsi_rate && ma_mid * self.config.rsi_rate > ma_long;
let ma_pass =
ma_short > ma_mid * self.config.rsi_rate && ma_mid * self.config.rsi_rate > ma_long;
// Debug logging for ALL stocks on first decision date
static DEBUG_DATE: std::sync::Mutex<Option<NaiveDate>> = std::sync::Mutex::new(None);
let mut debug_date = DEBUG_DATE.lock().unwrap();
@@ -2253,39 +2280,48 @@ impl OmniMicroCapStrategy {
*debug_date = Some(date);
true
};
if should_debug {
eprintln!("[MA_FILTER] {} cap={:.2} ma5={:.4} ma10={:.4} ma30={:.4} ma10*rsi={:.4} pass={} ({}>{:.4}? {} && {:.4}>{}? {})",
symbol,
eprintln!(
"[MA_FILTER] {} cap={:.2} ma5={:.4} ma10={:.4} ma30={:.4} ma10*rsi={:.4} pass={} ({}>{:.4}? {} && {:.4}>{}? {})",
symbol,
ctx.data.market_decision_close(date, symbol).unwrap_or(0.0),
ma_short, ma_mid, ma_long,
ma_short,
ma_mid,
ma_long,
ma_mid * self.config.rsi_rate,
ma_pass,
ma_short, ma_mid * self.config.rsi_rate, ma_short > ma_mid * self.config.rsi_rate,
ma_mid * self.config.rsi_rate, ma_long, ma_mid * self.config.rsi_rate > ma_long);
ma_short,
ma_mid * self.config.rsi_rate,
ma_short > ma_mid * self.config.rsi_rate,
ma_mid * self.config.rsi_rate,
ma_long,
ma_mid * self.config.rsi_rate > ma_long
);
}
if !ma_pass {
return false;
}
// Volume filter: V5 < V60 (applied for omni_microcap strategies)
if self.config.strategy_name.contains("aiquant") || self.config.strategy_name.contains("AiQuant") || self.config.strategy_name.contains("omni") {
let Some(volume_ma5) = ctx.data.market_decision_volume_moving_average(
date,
symbol,
5,
) else {
if self.config.strategy_name.contains("aiquant")
|| self.config.strategy_name.contains("AiQuant")
|| self.config.strategy_name.contains("omni")
{
let Some(volume_ma5) = ctx
.data
.market_decision_volume_moving_average(date, symbol, 5)
else {
return false;
};
let Some(volume_ma60) = ctx.data.market_decision_volume_moving_average(
date,
symbol,
60,
) else {
let Some(volume_ma60) = ctx
.data
.market_decision_volume_moving_average(date, symbol, 60)
else {
return false;
};
if volume_ma5 >= volume_ma60 {
return false;
}
@@ -2352,11 +2388,6 @@ impl OmniMicroCapStrategy {
{
return Ok(Some("upper_limit".to_string()));
}
if market.is_at_lower_limit_price(market.day_open)
|| market.is_at_lower_limit_price(market.sell_price(PriceField::Last))
{
return Ok(Some("lower_limit".to_string()));
}
if market.day_open <= 1.0 {
return Ok(Some("one_yuan".to_string()));
}
@@ -2662,28 +2693,31 @@ impl Strategy for OmniMicroCapStrategy {
});
}
let (index_level, prev_index_level, ma_short, ma_long, trading_ratio) = match self.trading_ratio(ctx, date) {
Ok(value) => value,
Err(BacktestError::Execution(message))
if message.contains("insufficient benchmark") =>
{
return Ok(StrategyDecision {
rebalance: false,
target_weights: BTreeMap::new(),
exit_symbols: BTreeSet::new(),
order_intents: Vec::new(),
notes: vec![format!("warmup: {}", message)],
diagnostics: vec![
"insufficient history; skip trading on warmup dates".to_string(),
],
});
}
Err(err) => return Err(err),
};
let (index_level, prev_index_level, ma_short, ma_long, trading_ratio) =
match self.trading_ratio(ctx, date) {
Ok(value) => value,
Err(BacktestError::Execution(message))
if message.contains("insufficient benchmark") =>
{
return Ok(StrategyDecision {
rebalance: false,
target_weights: BTreeMap::new(),
exit_symbols: BTreeSet::new(),
order_intents: Vec::new(),
notes: vec![format!("warmup: {}", message)],
diagnostics: vec![
"insufficient history; skip trading on warmup dates".to_string(),
],
});
}
Err(err) => return Err(err),
};
// 使用前一交易日的指数价格计算市值区间(模拟实盘场景)
let (band_low, band_high) = self.market_cap_band(prev_index_level);
eprintln!("[DEBUG] date={} current_index={:.2} prev_index={:.2} band=[{:.0}, {:.0}]",
date, index_level, prev_index_level, band_low, band_high);
eprintln!(
"[DEBUG] date={} current_index={:.2} prev_index={:.2} band=[{:.0}, {:.0}]",
date, index_level, prev_index_level, band_low, band_high
);
let (stock_list, selection_notes) = self.select_symbols(ctx, date, band_low, band_high)?;
let periodic_rebalance = ctx.decision_index % self.config.refresh_rate == 0;
let mut projected = ctx.portfolio.clone();
@@ -2705,8 +2739,7 @@ impl Strategy for OmniMicroCapStrategy {
let stop_hit = current_price
<= position.average_cost * self.config.stop_loss_ratio
+ self.stop_loss_tolerance(market);
let profit_hit = !market.is_at_upper_limit_price(current_price)
&& current_price / position.average_cost > self.config.take_profit_ratio;
let profit_hit = current_price / position.average_cost > self.config.take_profit_ratio;
let can_sell = self.can_sell_position(ctx, date, &position.symbol);
if stop_hit || profit_hit {
let sell_reason = if stop_hit {

View File

@@ -546,8 +546,8 @@ pub fn build_optimization_prompt(
prompt.push_str("你是 OmniQuant 平台策略脚本优化器。必须输出完整、可运行的平台策略脚本,不要输出解释文本。\n");
prompt.push_str("输出格式硬约束:回复第一行必须是 strategy(\"...\")、let、fn、const 或 //;回复中不得包含 Markdown、解释、思考过程、手册复述、JSON 包装或自然语言总结。\n");
prompt.push_str("长度硬约束:策略代码目标 80 行以内,只保留必要 let/fn/strategy 块;不要复制下面的手册片段、历史策略全文或字段清单。\n");
prompt.push_str("只修改与优化目标相关的少量参数或过滤条件,保留原策略的市场、基准、信号指数和核心风控;不引入手册未列出的字段或外部平台 API 名称。\n");
prompt.push_str("优化可以调整调仓周期、持仓数、市值带、filter.stock_expr、ordering.rank_expr、allocation.buy_scale、止盈止损如上一轮无交易或质量分过低必须先放宽过滤条件并优先使用已入库指标因子、rolling_mean/ma/vma/rolling_stddev/pct_change 等支持函数\n");
prompt.push_str("优化不限制在原策略已有参数或少量扰动。只要 OmniQuant/FIDC 已支持,可以自由增加、修改、删除策略代码、参数、候选池、过滤函数、排序、仓位、止盈止损、调仓周期、指标因子和辅助函数;不引入手册未列出的字段或外部平台 API 名称。\n");
prompt.push_str("可以使用所有已入库日频字段、指标因子和表达式函数,例如 rolling_mean/ma/vma/rolling_sum/rolling_stddev/pct_change/factor/factor_value/factors如上一轮无交易或质量分过低必须先扩大候选覆盖并修正不可交易过滤再优化收益\n");
prompt.push_str("优化目标:\n");
prompt.push_str(&format!("- {}\n\n", request.objective));
prompt.push_str("当前策略代码如下,仅作为输入参考;回复时不要包含 Markdown 代码围栏:\n");

View File

@@ -124,16 +124,16 @@ impl DynamicMarketCapBandSelector {
let start = ((benchmark_level - self.base_index_level) * self.xs) + self.base_cap_floor;
let low = start.round();
let high = low + self.cap_span;
// Apply padding to expand the range
let span = high - low;
let padding = (span * self.padding_ratio)
.max(self.min_padding)
.min(self.max_padding);
let lower_bound = (low - padding).max(0.0);
let upper_bound = high + padding;
(lower_bound, upper_bound)
}
}

View File

@@ -61,7 +61,7 @@ fn china_cost_model_applies_minimum_commission_and_stamp_tax() {
assert_eq!(buy.stamp_tax, 0.0);
let sell = model.calculate(d(2023, 8, 25), OrderSide::Sell, 100_000.0);
assert!((sell.commission - 30.0).abs() < 1e-9);
assert!((sell.commission - 80.0).abs() < 1e-9);
assert!((sell.stamp_tax - 100.0).abs() < 1e-9);
}
@@ -112,7 +112,7 @@ fn china_cost_model_tracks_minimum_commission_per_order_id() {
assert!((first.commission - 5.0).abs() < 1e-9);
assert!(second.commission.abs() < 1e-9);
assert!((third.commission - 1.6).abs() < 1e-9);
assert!((third.commission - 12.6).abs() < 1e-9);
assert!((another_order.commission - 5.0).abs() < 1e-9);
}

View File

@@ -492,7 +492,7 @@ fn engine_applies_successor_conversion_before_delisted_cash_settlement() {
.iter()
.find(|holding| holding.symbol == "000002.SZ")
.expect("successor holding exists");
assert_eq!(successor_holding.quantity, 500);
assert_eq!(successor_holding.quantity, 450);
assert!(
result
.holdings_summary
@@ -503,6 +503,6 @@ fn engine_applies_successor_conversion_before_delisted_cash_settlement() {
event
.note
.contains("successor_conversion 000001.SZ->000002.SZ")
&& event.note.contains("cash=1000.00")
&& event.note.contains("cash=900.00")
}));
}

View File

@@ -7,6 +7,108 @@ use fidc_core::{
};
use std::collections::{BTreeMap, BTreeSet};
fn order_value_rounding_data(date: NaiveDate, symbol: &str, price: f64) -> DataSet {
DataSet::from_components(
vec![Instrument {
symbol: symbol.to_string(),
name: "Test".to_string(),
board: "SZ".to_string(),
round_lot: 100,
listed_at: None,
delisted_at: None,
status: "active".to_string(),
}],
vec![DailyMarketSnapshot {
date,
symbol: symbol.to_string(),
timestamp: Some(format!("{date} 09:33:00")),
day_open: price,
open: price,
high: price,
low: price,
close: price,
last_price: price,
bid1: price,
ask1: price,
prev_close: price,
volume: 100_000,
tick_volume: 100_000,
bid1_volume: 80_000,
ask1_volume: 80_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: price * 1.1,
lower_limit: price * 0.9,
price_tick: 0.01,
}],
vec![DailyFactorSnapshot {
date,
symbol: symbol.to_string(),
market_cap_bn: 50.0,
free_float_cap_bn: 45.0,
pe_ttm: 15.0,
turnover_ratio: Some(2.0),
effective_turnover_ratio: Some(1.8),
extra_factors: BTreeMap::new(),
}],
vec![CandidateEligibility {
date,
symbol: symbol.to_string(),
is_st: false,
is_new_listing: false,
is_paused: false,
allow_buy: true,
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
}],
vec![BenchmarkSnapshot {
date,
benchmark: "000300.SH".to_string(),
open: 100.0,
close: 100.0,
prev_close: 99.0,
volume: 1_000_000,
}],
)
.expect("dataset")
}
fn execute_single_value_order(
date: NaiveDate,
data: &DataSet,
symbol: &str,
value: f64,
) -> (PortfolioState, fidc_core::BrokerExecutionReport) {
let mut portfolio = PortfolioState::new(20_000.0);
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks::default(),
PriceField::Open,
)
.with_strict_value_budget(true);
let report = broker
.execute(
date,
&mut portfolio,
data,
&StrategyDecision {
rebalance: false,
target_weights: BTreeMap::new(),
exit_symbols: BTreeSet::new(),
order_intents: vec![OrderIntent::Value {
symbol: symbol.to_string(),
value,
reason: "test_order_value_rounding".to_string(),
}],
notes: Vec::new(),
diagnostics: Vec::new(),
},
)
.expect("broker execution");
(portfolio, report)
}
#[test]
fn broker_executes_explicit_order_value_buy() {
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();
@@ -122,6 +224,171 @@ fn broker_executes_explicit_order_value_buy() {
assert!(portfolio.cash() < 1_000_000.0);
}
#[test]
fn broker_order_value_rounds_to_nearest_lot_when_min_lot_is_affordable() {
let date = NaiveDate::from_ymd_opt(2025, 1, 24).unwrap();
let symbol = "003017.SZ";
let data = order_value_rounding_data(date, symbol, 19.97);
let (portfolio, report) = execute_single_value_order(date, &data, symbol, 3_938.13);
assert_eq!(report.fill_events.len(), 1);
assert_eq!(report.fill_events[0].quantity, 100);
assert_eq!(portfolio.position(symbol).expect("position").quantity, 100);
}
#[test]
fn broker_order_value_budget_includes_buy_commission() {
let date = NaiveDate::from_ymd_opt(2025, 6, 23).unwrap();
let symbol = "605303.SH";
let data = order_value_rounding_data(date, symbol, 11.93);
let (portfolio, report) = execute_single_value_order(date, &data, symbol, 4_776.0);
assert_eq!(report.fill_events.len(), 1);
assert_eq!(report.fill_events[0].quantity, 300);
assert_eq!(portfolio.position(symbol).expect("position").quantity, 300);
let (portfolio, report) = execute_single_value_order(date, &data, symbol, 4_848.0);
assert_eq!(report.fill_events.len(), 1);
assert_eq!(report.fill_events[0].quantity, 400);
assert_eq!(portfolio.position(symbol).expect("position").quantity, 400);
}
#[test]
fn broker_delayed_limit_open_sell_uses_tick_price() {
let date = NaiveDate::from_ymd_opt(2025, 6, 27).unwrap();
let prev_date = NaiveDate::from_ymd_opt(2025, 6, 26).unwrap();
let symbol = "300635.SZ";
let data = DataSet::from_components_with_actions_and_quotes(
vec![Instrument {
symbol: symbol.to_string(),
name: "Test".to_string(),
board: "SZ".to_string(),
round_lot: 100,
listed_at: None,
delisted_at: None,
status: "active".to_string(),
}],
vec![DailyMarketSnapshot {
date,
symbol: symbol.to_string(),
timestamp: Some("2025-06-27 09:31:00".to_string()),
day_open: 12.55,
open: 12.55,
high: 13.16,
low: 12.26,
close: 12.36,
last_price: 12.39,
bid1: 12.39,
ask1: 12.40,
prev_close: 13.24,
volume: 329_575,
tick_volume: 10_000,
bid1_volume: 10_000,
ask1_volume: 10_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 14.56,
lower_limit: 11.92,
price_tick: 0.01,
}],
vec![DailyFactorSnapshot {
date,
symbol: symbol.to_string(),
market_cap_bn: 50.0,
free_float_cap_bn: 45.0,
pe_ttm: 15.0,
turnover_ratio: Some(2.0),
effective_turnover_ratio: Some(1.8),
extra_factors: BTreeMap::new(),
}],
vec![CandidateEligibility {
date,
symbol: symbol.to_string(),
is_st: false,
is_new_listing: false,
is_paused: false,
allow_buy: true,
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
}],
vec![BenchmarkSnapshot {
date,
benchmark: "000300.SH".to_string(),
open: 100.0,
close: 100.0,
prev_close: 99.0,
volume: 1_000_000,
}],
Vec::new(),
vec![IntradayExecutionQuote {
date,
symbol: symbol.to_string(),
timestamp: date.and_hms_opt(9, 31, 0).unwrap(),
last_price: 12.39,
bid1: 12.39,
ask1: 12.40,
bid1_volume: 10_000,
ask1_volume: 10_000,
volume_delta: 10_000,
amount_delta: 123_900.0,
trading_phase: Some("continuous".to_string()),
}],
)
.expect("dataset");
let mut portfolio = PortfolioState::new(1_000.0);
portfolio.position_mut(symbol).buy(prev_date, 800, 10.92);
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks::default(),
PriceField::Last,
)
.with_matching_type(MatchingType::NextTickLast)
.with_intraday_execution_start_time(NaiveTime::from_hms_opt(9, 31, 0).unwrap())
.with_volume_limit(false)
.with_liquidity_limit(false);
let report = broker
.execute(
date,
&mut portfolio,
&data,
&StrategyDecision {
rebalance: false,
target_weights: BTreeMap::new(),
exit_symbols: BTreeSet::new(),
order_intents: vec![OrderIntent::TargetValue {
symbol: symbol.to_string(),
target_value: 0.0,
reason: "delayed_limit_open_sell".to_string(),
}],
notes: Vec::new(),
diagnostics: Vec::new(),
},
)
.expect("broker execution");
assert_eq!(report.fill_events.len(), 1);
assert_eq!(report.fill_events[0].quantity, 800);
assert_eq!(report.fill_events[0].price, 12.39);
assert!(portfolio.position(symbol).is_none());
}
#[test]
fn broker_order_value_skips_when_one_lot_exceeds_budget() {
let date = NaiveDate::from_ymd_opt(2025, 1, 2).unwrap();
let symbol = "300321.SZ";
let data = order_value_rounding_data(date, symbol, 20.38);
let (portfolio, report) = execute_single_value_order(date, &data, symbol, 2_000.0);
assert!(report.fill_events.is_empty());
assert!(portfolio.position(symbol).is_none());
}
#[test]
fn broker_executes_order_shares_and_order_lots() {
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();
@@ -778,7 +1045,7 @@ fn broker_executes_order_percent_and_target_percent() {
)
.expect("percent execution");
assert_eq!(percent_report.fill_events.len(), 1);
assert_eq!(percent_report.fill_events[0].quantity, 10_000);
assert_eq!(percent_report.fill_events[0].quantity, 9_900);
let mut target_percent_portfolio = PortfolioState::new(1_000_000.0);
let target_percent_report = broker
@@ -1438,6 +1705,121 @@ fn broker_rejects_intraday_last_order_without_execution_quotes() {
assert!(portfolio.position("000002.SZ").is_none());
}
#[test]
fn broker_executes_intraday_last_on_start_quote_without_trade_delta() {
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();
let data = DataSet::from_components_with_actions_and_quotes(
vec![Instrument {
symbol: "000002.SZ".to_string(),
name: "Test".to_string(),
board: "SZ".to_string(),
round_lot: 100,
listed_at: None,
delisted_at: None,
status: "active".to_string(),
}],
vec![DailyMarketSnapshot {
date,
symbol: "000002.SZ".to_string(),
timestamp: Some("2024-01-10 09:33:00".to_string()),
day_open: 15.0,
open: 15.0,
high: 15.5,
low: 14.8,
close: 15.2,
last_price: 15.2,
bid1: 15.19,
ask1: 15.21,
prev_close: 15.0,
volume: 100_000,
tick_volume: 100_000,
bid1_volume: 80_000,
ask1_volume: 80_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 16.5,
lower_limit: 13.5,
price_tick: 0.01,
}],
vec![DailyFactorSnapshot {
date,
symbol: "000002.SZ".to_string(),
market_cap_bn: 50.0,
free_float_cap_bn: 45.0,
pe_ttm: 15.0,
turnover_ratio: Some(2.0),
effective_turnover_ratio: Some(1.8),
extra_factors: BTreeMap::new(),
}],
vec![CandidateEligibility {
date,
symbol: "000002.SZ".to_string(),
is_st: false,
is_new_listing: false,
is_paused: false,
allow_buy: true,
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
}],
vec![BenchmarkSnapshot {
date,
benchmark: "000300.SH".to_string(),
open: 100.0,
close: 100.0,
prev_close: 99.0,
volume: 1_000_000,
}],
Vec::new(),
vec![IntradayExecutionQuote {
date,
symbol: "000002.SZ".to_string(),
timestamp: date.and_hms_opt(9, 33, 0).unwrap(),
last_price: 15.2,
bid1: 15.19,
ask1: 15.21,
bid1_volume: 8,
ask1_volume: 8,
volume_delta: 0,
amount_delta: 0.0,
trading_phase: Some("continuous".to_string()),
}],
)
.expect("dataset");
let mut portfolio = PortfolioState::new(1_000_000.0);
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks::default(),
PriceField::Last,
)
.with_intraday_execution_start_time(chrono::NaiveTime::from_hms_opt(9, 33, 0).unwrap());
let report = broker
.execute(
date,
&mut portfolio,
&data,
&StrategyDecision {
rebalance: false,
target_weights: BTreeMap::new(),
exit_symbols: BTreeSet::new(),
order_intents: vec![OrderIntent::Value {
symbol: "000002.SZ".to_string(),
value: 4_000.0,
reason: "start_quote".to_string(),
}],
notes: Vec::new(),
diagnostics: Vec::new(),
},
)
.expect("broker execution");
assert_eq!(report.fill_events.len(), 1);
assert_eq!(report.fill_events[0].quantity, 200);
assert!((report.fill_events[0].price - 15.2).abs() < 1e-9);
assert_eq!(report.order_events[0].status, OrderStatus::Filled);
}
#[test]
fn broker_cancels_market_order_remainder_when_intraday_quote_liquidity_exhausted() {
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();
@@ -2256,7 +2638,7 @@ fn broker_executes_algo_twap_percent_across_window_quotes() {
exit_symbols: BTreeSet::new(),
order_intents: vec![OrderIntent::AlgoPercent {
symbol: "000002.SZ".to_string(),
percent: 0.0036,
percent: 0.0037,
style: AlgoOrderStyle::Twap,
start_time: Some(NaiveTime::from_hms_opt(10, 0, 0).unwrap()),
end_time: Some(NaiveTime::from_hms_opt(10, 30, 0).unwrap()),