Clip portfolio targets before rebalance orders

This commit is contained in:
boris
2026-04-22 21:48:49 -07:00
parent 081686185a
commit 650e2e8319
2 changed files with 361 additions and 5 deletions

View File

@@ -25,6 +25,17 @@ struct ExecutionFill {
next_cursor: NaiveDateTime,
}
#[derive(Debug, Clone)]
struct TargetConstraint {
symbol: String,
current_qty: u32,
min_target_qty: u32,
max_target_qty: u32,
provisional_target_qty: u32,
price: f64,
round_lot: u32,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum MatchingType {
CurrentBarClose,
@@ -396,9 +407,8 @@ where
data: &DataSet,
target_weights: &BTreeMap<String, f64>,
) -> Result<BTreeMap<String, u32>, BacktestError> {
let equity = self.total_equity_at(date, portfolio, data, PriceField::Open)?;
let mut targets = BTreeMap::new();
let equity = self.total_equity_at(date, portfolio, data, self.execution_price_field)?;
let mut desired_targets = BTreeMap::new();
for (symbol, weight) in target_weights {
let price = data
.price(date, symbol, self.execution_price_field)
@@ -408,13 +418,188 @@ where
field: price_field_name(self.execution_price_field),
})?;
let raw_qty = ((equity * weight) / price).floor() as u32;
let rounded_qty = self.round_buy_quantity(raw_qty, self.round_lot(data, symbol));
targets.insert(symbol.clone(), rounded_qty);
desired_targets.insert(
symbol.clone(),
self.round_buy_quantity(raw_qty, self.round_lot(data, symbol)),
);
}
let mut symbols = BTreeSet::new();
symbols.extend(portfolio.positions().keys().cloned());
symbols.extend(desired_targets.keys().cloned());
let mut constraints = Vec::new();
let mut projected_cash = portfolio.cash();
for symbol in symbols {
let current_qty = portfolio
.position(&symbol)
.map(|pos| pos.quantity)
.unwrap_or(0);
let desired_qty = *desired_targets.get(&symbol).unwrap_or(&0);
let price = data
.price(date, &symbol, self.execution_price_field)
.ok_or_else(|| BacktestError::MissingPrice {
date,
symbol: symbol.clone(),
field: price_field_name(self.execution_price_field),
})?;
let round_lot = self.round_lot(data, &symbol);
let min_target_qty = self.minimum_target_quantity(
date,
portfolio,
data,
&symbol,
current_qty,
round_lot,
);
let max_target_qty = self.maximum_target_quantity(
date,
portfolio,
data,
&symbol,
current_qty,
round_lot,
);
let provisional_target_qty = desired_qty.clamp(min_target_qty, max_target_qty);
if current_qty > provisional_target_qty {
projected_cash += self.estimated_sell_net_cash(
price,
current_qty.saturating_sub(provisional_target_qty),
);
}
constraints.push(TargetConstraint {
symbol,
current_qty,
min_target_qty,
max_target_qty,
provisional_target_qty,
price,
round_lot,
});
}
let mut targets = BTreeMap::new();
for constraint in &constraints {
let mut target_qty = constraint.provisional_target_qty;
if target_qty > constraint.current_qty {
let desired_additional = target_qty - constraint.current_qty;
let affordable_additional = self.affordable_buy_quantity(
projected_cash,
None,
constraint.price,
desired_additional,
constraint.round_lot,
);
target_qty = (constraint.current_qty + affordable_additional)
.clamp(constraint.min_target_qty, constraint.max_target_qty);
if target_qty > constraint.current_qty {
projected_cash -= self.estimated_buy_cash_out(
constraint.price,
target_qty - constraint.current_qty,
);
}
}
if target_qty > 0 {
targets.insert(constraint.symbol.clone(), target_qty);
}
}
Ok(targets)
}
fn minimum_target_quantity(
&self,
date: NaiveDate,
portfolio: &PortfolioState,
data: &DataSet,
symbol: &str,
current_qty: u32,
round_lot: u32,
) -> u32 {
if current_qty == 0 {
return 0;
}
let Some(position) = portfolio.position(symbol) else {
return 0;
};
let Ok(snapshot) = data.require_market(date, symbol) else {
return current_qty;
};
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,
);
if !rule.allowed {
return current_qty;
}
let sellable = position.sellable_qty(date);
let sell_limit = match self.market_fillable_quantity(
snapshot,
OrderSide::Sell,
sellable.min(current_qty),
round_lot,
0,
) {
Ok(quantity) => quantity.min(sellable).min(current_qty),
Err(_) => 0,
};
current_qty.saturating_sub(sell_limit)
}
fn maximum_target_quantity(
&self,
date: NaiveDate,
_portfolio: &PortfolioState,
data: &DataSet,
symbol: &str,
current_qty: u32,
round_lot: u32,
) -> u32 {
let Ok(snapshot) = data.require_market(date, symbol) else {
return current_qty;
};
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);
if !rule.allowed {
return current_qty;
}
let additional_limit =
match self.market_fillable_quantity(snapshot, OrderSide::Buy, u32::MAX, round_lot, 0) {
Ok(quantity) => quantity,
Err(_) => 0,
};
current_qty.saturating_add(additional_limit)
}
fn estimated_sell_net_cash(&self, price: f64, quantity: u32) -> f64 {
if quantity == 0 {
return 0.0;
}
let gross = price * quantity as f64;
let cost = self.cost_model.calculate(OrderSide::Sell, gross);
gross - cost.total()
}
fn estimated_buy_cash_out(&self, price: f64, quantity: u32) -> f64 {
if quantity == 0 {
return 0.0;
}
let gross = price * quantity as f64;
let cost = self.cost_model.calculate(OrderSide::Buy, gross);
gross + cost.total()
}
fn process_sell(
&self,
date: NaiveDate,

View File

@@ -306,6 +306,177 @@ fn broker_applies_tick_size_slippage_on_intraday_last_fills() {
assert!((report.fill_events[0].price - 10.02).abs() < 1e-9);
}
#[test]
fn rebalance_optimizer_skips_unfunded_buy_when_existing_position_cannot_sell() {
let prev_date = NaiveDate::from_ymd_opt(2024, 1, 9).unwrap();
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();
let data = DataSet::from_components(
vec![
Instrument {
symbol: "000001.SZ".to_string(),
name: "Held".to_string(),
board: "SZ".to_string(),
round_lot: 100,
listed_at: None,
delisted_at: None,
status: "active".to_string(),
},
Instrument {
symbol: "000002.SZ".to_string(),
name: "Target".to_string(),
board: "SZ".to_string(),
round_lot: 100,
listed_at: None,
delisted_at: None,
status: "active".to_string(),
},
],
vec![
DailyMarketSnapshot {
date,
symbol: "000001.SZ".to_string(),
timestamp: Some("2024-01-10 10:18:00".to_string()),
day_open: 10.0,
open: 10.0,
high: 10.0,
low: 9.5,
close: 9.8,
last_price: 9.8,
bid1: 9.79,
ask1: 9.81,
prev_close: 10.0,
volume: 100_000,
tick_volume: 100_000,
bid1_volume: 80_000,
ask1_volume: 80_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 11.0,
lower_limit: 9.0,
price_tick: 0.01,
},
DailyMarketSnapshot {
date,
symbol: "000002.SZ".to_string(),
timestamp: Some("2024-01-10 10:18:00".to_string()),
day_open: 10.0,
open: 10.0,
high: 10.2,
low: 9.8,
close: 10.1,
last_price: 10.1,
bid1: 10.09,
ask1: 10.11,
prev_close: 10.0,
volume: 100_000,
tick_volume: 100_000,
bid1_volume: 80_000,
ask1_volume: 80_000,
trading_phase: Some("continuous".to_string()),
paused: false,
upper_limit: 11.0,
lower_limit: 9.0,
price_tick: 0.01,
},
],
vec![
DailyFactorSnapshot {
date,
symbol: "000001.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(),
},
DailyFactorSnapshot {
date,
symbol: "000002.SZ".to_string(),
market_cap_bn: 60.0,
free_float_cap_bn: 50.0,
pe_ttm: 18.0,
turnover_ratio: Some(2.0),
effective_turnover_ratio: Some(1.8),
extra_factors: BTreeMap::new(),
},
],
vec![
CandidateEligibility {
date,
symbol: "000001.SZ".to_string(),
is_st: false,
is_new_listing: false,
is_paused: false,
allow_buy: true,
allow_sell: false,
is_kcb: false,
is_one_yuan: false,
},
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,
}],
)
.expect("dataset");
let mut portfolio = PortfolioState::new(0.0);
portfolio
.position_mut("000001.SZ")
.buy(prev_date, 10_000, 10.0);
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks::default(),
PriceField::Open,
);
let report = broker
.execute(
date,
&mut portfolio,
&data,
&StrategyDecision {
rebalance: true,
target_weights: BTreeMap::from([("000002.SZ".to_string(), 1.0)]),
exit_symbols: BTreeSet::new(),
order_intents: Vec::new(),
notes: Vec::new(),
diagnostics: Vec::new(),
},
)
.expect("broker execution");
assert!(
report
.order_events
.iter()
.all(|event| !(event.symbol == "000002.SZ" && event.side == fidc_core::OrderSide::Buy)),
"optimizer should skip unfunded rebalance buy when locked holding cannot be sold"
);
assert_eq!(
portfolio
.position("000001.SZ")
.map(|position| position.quantity)
.unwrap_or(0),
10_000
);
}
#[test]
fn broker_uses_instrument_round_lot_for_buy_sizing() {
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();