Use prev close for open auction rebalances

This commit is contained in:
boris
2026-04-23 00:49:17 -07:00
parent c27901306d
commit 1b4d68406c
2 changed files with 257 additions and 15 deletions

View File

@@ -447,18 +447,12 @@ where
data: &DataSet,
target_weights: &BTreeMap<String, f64>,
) -> Result<(BTreeMap<String, u32>, Vec<String>), BacktestError> {
let equity = self.total_equity_at(date, portfolio, data, self.execution_price_field)?;
let equity = self.rebalance_total_equity_at(date, portfolio, data)?;
let target_weight_sum = target_weights.values().copied().sum::<f64>();
let mut desired_targets = BTreeMap::new();
let mut diagnostics = Vec::new();
for (symbol, weight) in target_weights {
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 price = self.rebalance_valuation_price(date, symbol, data)?;
let raw_qty = ((equity * weight) / price).floor() as u32;
desired_targets.insert(
symbol.clone(),
@@ -482,13 +476,7 @@ where
.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 price = self.rebalance_valuation_price(date, &symbol, data)?;
let minimum_order_quantity = self.minimum_order_quantity(data, &symbol);
let order_step_size = self.order_step_size(data, &symbol);
let min_target_qty = self.minimum_target_quantity(
@@ -1585,6 +1573,78 @@ where
}
}
fn rebalance_valuation_price_field_name(&self) -> &'static str {
if self.is_open_auction_matching() {
"prev_close"
} else {
price_field_name(self.execution_price_field)
}
}
fn rebalance_valuation_price_for_snapshot(
&self,
snapshot: &crate::data::DailyMarketSnapshot,
) -> Option<f64> {
let price = if self.is_open_auction_matching() {
snapshot.prev_close
} else {
snapshot.price(self.execution_price_field)
};
if price.is_finite() && price > 0.0 {
Some(price)
} else {
None
}
}
fn rebalance_valuation_price(
&self,
date: NaiveDate,
symbol: &str,
data: &DataSet,
) -> Result<f64, BacktestError> {
let snapshot = data
.market(date, symbol)
.ok_or_else(|| BacktestError::MissingPrice {
date,
symbol: symbol.to_string(),
field: self.rebalance_valuation_price_field_name(),
})?;
self.rebalance_valuation_price_for_snapshot(snapshot)
.ok_or_else(|| BacktestError::MissingPrice {
date,
symbol: symbol.to_string(),
field: self.rebalance_valuation_price_field_name(),
})
}
fn rebalance_total_equity_at(
&self,
date: NaiveDate,
portfolio: &PortfolioState,
data: &DataSet,
) -> Result<f64, BacktestError> {
let mut market_value = 0.0;
for position in portfolio.positions().values() {
let snapshot =
data.market(date, &position.symbol)
.ok_or_else(|| BacktestError::MissingPrice {
date,
symbol: position.symbol.clone(),
field: self.rebalance_valuation_price_field_name(),
})?;
let price = self
.rebalance_valuation_price_for_snapshot(snapshot)
.ok_or_else(|| BacktestError::MissingPrice {
date,
symbol: position.symbol.clone(),
field: self.rebalance_valuation_price_field_name(),
})?;
market_value += price * position.quantity as f64;
}
Ok(portfolio.cash() + market_value)
}
fn round_buy_quantity(
&self,
quantity: u32,