fix: tolerate missing holding market rows

This commit is contained in:
boris
2026-04-24 12:51:47 -07:00
parent bd9b26deb3
commit 60f0f73076
4 changed files with 336 additions and 17 deletions

View File

@@ -10,8 +10,9 @@ use fidc_core::{
FuturesCommissionType, FuturesContractSpec, FuturesDirection, FuturesOrderIntent,
FuturesTradingParameter, FuturesValidationConfig, Instrument, IntradayExecutionQuote,
IntradayOrderBookDepthLevel, MatchingType, OpenOrderView, OrderIntent, OrderSide, OrderStatus,
PortfolioState, PriceField, ProcessEvent, ProcessEventBus, ProcessEventKind, ScheduleRule,
ScheduleStage, ScheduleTimeRule, Strategy, StrategyContext, StrategyDecision,
PlatformExprStrategy, PlatformExprStrategyConfig, PortfolioState, PriceField, ProcessEvent,
ProcessEventBus, ProcessEventKind, ScheduleRule, ScheduleStage, ScheduleTimeRule, Strategy,
StrategyContext, StrategyDecision,
};
fn d(year: i32, month: u32, day: u32) -> NaiveDate {
@@ -3714,3 +3715,216 @@ fn engine_exposes_current_process_context_to_strategies() {
);
assert!(snapshots.iter().any(|item| item == "on_day:on_day:8"));
}
struct BuyMissingRowThenHoldStrategy;
impl Strategy for BuyMissingRowThenHoldStrategy {
fn name(&self) -> &str {
"buy-missing-row-then-hold"
}
fn on_day(
&mut self,
ctx: &StrategyContext<'_>,
) -> Result<StrategyDecision, fidc_core::BacktestError> {
if ctx.execution_date == d(2025, 5, 26) {
return Ok(StrategyDecision {
rebalance: false,
target_weights: BTreeMap::new(),
exit_symbols: BTreeSet::new(),
order_intents: vec![OrderIntent::Value {
symbol: "601028.SH".to_string(),
value: 1_000.0,
reason: "seed_position".to_string(),
}],
notes: Vec::new(),
diagnostics: Vec::new(),
});
}
Ok(StrategyDecision::default())
}
}
#[test]
fn engine_carries_position_price_when_current_market_row_is_missing() {
let date1 = d(2025, 5, 26);
let date2 = d(2025, 5, 27);
let data = DataSet::from_components(
vec![
Instrument {
symbol: "601028.SH".to_string(),
name: "Missing Row".to_string(),
board: "SH".to_string(),
round_lot: 100,
listed_at: Some(d(2020, 1, 1)),
delisted_at: None,
status: "active".to_string(),
},
Instrument {
symbol: "000001.SZ".to_string(),
name: "Anchor".to_string(),
board: "SZ".to_string(),
round_lot: 100,
listed_at: Some(d(2020, 1, 1)),
delisted_at: None,
status: "active".to_string(),
},
],
vec![
market_row(date1, "601028.SH", 10.0, 10.3),
market_row(date2, "000001.SZ", 20.0, 20.2),
],
vec![
factor_row(date1, "601028.SH", BTreeMap::new()),
factor_row(date2, "000001.SZ", BTreeMap::new()),
],
vec![
candidate_row(date1, "601028.SH"),
candidate_row(date2, "000001.SZ"),
],
vec![
benchmark_row(date1),
BenchmarkSnapshot {
date: date2,
benchmark: "000300.SH".to_string(),
open: 101.0,
close: 101.0,
prev_close: 100.0,
volume: 1_100_000,
},
],
)
.expect("dataset");
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks::default(),
PriceField::Open,
);
let mut engine = BacktestEngine::new(
data,
BuyMissingRowThenHoldStrategy,
broker,
BacktestConfig {
initial_cash: 100_000.0,
benchmark_code: "000300.SH".to_string(),
start_date: Some(date1),
end_date: Some(date2),
decision_lag_trading_days: 0,
execution_price_field: PriceField::Open,
},
);
let result = engine
.run()
.expect("backtest should not fail on one missing holding row");
assert_eq!(result.equity_curve.len(), 2);
assert!(
result
.daily_holdings
.iter()
.any(|holding| holding.date == date2 && holding.symbol == "601028.SH")
);
}
#[test]
fn platform_strategy_skips_position_stop_take_when_current_market_row_is_missing() {
let date1 = d(2025, 5, 26);
let date2 = d(2025, 5, 27);
let data = DataSet::from_components(
vec![
Instrument {
symbol: "601028.SH".to_string(),
name: "Missing Row".to_string(),
board: "SH".to_string(),
round_lot: 100,
listed_at: Some(d(2020, 1, 1)),
delisted_at: None,
status: "active".to_string(),
},
Instrument {
symbol: "000001.SZ".to_string(),
name: "Signal Anchor".to_string(),
board: "SZ".to_string(),
round_lot: 100,
listed_at: Some(d(2020, 1, 1)),
delisted_at: None,
status: "active".to_string(),
},
],
vec![
market_row(date1, "601028.SH", 10.0, 10.3),
market_row(date1, "000001.SZ", 20.0, 20.0),
market_row(date2, "000001.SZ", 20.0, 20.2),
],
vec![
factor_row(date1, "601028.SH", BTreeMap::new()),
factor_row(date2, "000001.SZ", BTreeMap::new()),
],
vec![
candidate_row(date1, "601028.SH"),
candidate_row(date2, "000001.SZ"),
],
vec![
benchmark_row(date1),
BenchmarkSnapshot {
date: date2,
benchmark: "000300.SH".to_string(),
open: 101.0,
close: 101.0,
prev_close: 100.0,
volume: 1_100_000,
},
],
)
.expect("dataset");
let mut config = PlatformExprStrategyConfig::microcap_rotation();
config.strategy_name = "missing-row-platform-risk".to_string();
config.benchmark_symbol = "000300.SH".to_string();
config.signal_symbol = "000001.SZ".to_string();
config.refresh_rate = 1;
config.max_positions = 1;
config.prelude.clear();
config.universe_exclude.clear();
config.market_cap_field = "market_cap".to_string();
config.market_cap_lower_expr = "0".to_string();
config.market_cap_upper_expr = "200".to_string();
config.selection_limit_expr = "1".to_string();
config.stock_filter_expr = "true".to_string();
config.stop_loss_expr = "0.93".to_string();
config.take_profit_expr = "1.07".to_string();
config.benchmark_short_ma_days = 1;
config.benchmark_long_ma_days = 1;
config.stock_short_ma_days = 1;
config.stock_mid_ma_days = 1;
config.stock_long_ma_days = 1;
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks::default(),
PriceField::Open,
);
let mut engine = BacktestEngine::new(
data,
PlatformExprStrategy::new(config),
broker,
BacktestConfig {
initial_cash: 100_000.0,
benchmark_code: "000300.SH".to_string(),
start_date: Some(date1),
end_date: Some(date2),
decision_lag_trading_days: 0,
execution_price_field: PriceField::Open,
},
);
let result = engine
.run()
.expect("platform strategy should hold through a missing current market row");
assert_eq!(result.equity_curve.len(), 2);
assert!(
result
.daily_holdings
.iter()
.any(|holding| holding.date == date2 && holding.symbol == "601028.SH")
);
}