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82 Commits

Author SHA1 Message Date
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
boris bc39df0ee5 修复FIDC策略滑点配置解析 2026-06-17 05:31:46 +08:00
boris 70695d8c92 恢复点时刻tick加载语义 2026-06-16 15:35:54 +08:00
boris 0533e2db3a 避免已预取tick重复懒加载 2026-06-16 15:18:43 +08:00
boris 716149c06c 修正平台策略滚动因子优先级 2026-06-16 14:49:41 +08:00
boris 0628dd528a 修复止损卖出受限时的目标仓位预判 2026-06-16 10:20:55 +08:00
boris e146ad6e7d 补充涨停买入撮合约束测试 2026-06-16 09:15:13 +08:00
boris cf2c4fd179 修正AiQuant补仓预算口径 2026-06-16 08:38:19 +08:00
boris 6ba61ef80b 修正跌停止损预判调仓口径 2026-06-16 08:22:15 +08:00
boris e45f990487 修正平台目标调仓执行口径 2026-06-16 08:06:19 +08:00
boris 8e6c912a07 修正AiQuant目标市值估值口径 2026-06-16 07:49:10 +08:00
boris 9a411f2403 修正平台策略弱市调仓顺序 2026-06-16 07:23:51 +08:00
boris d2c65c91b7 修正平台策略投影撮合价口径 2026-06-16 06:22:40 +08:00
boris 5078aec840 修正AiQuant盘中组合估值口径 2026-06-16 06:04:37 +08:00
boris df949ab8ee 修正AiQuant兼容买入数量语义 2026-06-16 05:45:15 +08:00
boris 2e036783bf 修正止损前弱市补仓顺序 2026-06-16 00:29:01 +08:00
boris ff145300b4 修正执行价quote多时间加载 2026-06-16 00:05:34 +08:00
boris c2de9d8e83 修正AiQuant目标市值持仓估值 2026-06-15 20:40:31 +08:00
boris baeda3773d 修正调仓持仓报价预加载语义 2026-06-15 20:29:14 +08:00
boris 725f1845d9 修复涨跌停最终执行价约束 2026-06-15 20:04:42 +08:00
boris e0949a0eaa 统一表达式策略涨跌停触价口径 2026-06-15 19:33:40 +08:00
boris 5d2bcd8366 修正A股涨跌停严格触价规则 2026-06-15 18:50:10 +08:00
boris 5181d0e403 修正平台策略费用和表达式口径 2026-06-15 18:03:21 +08:00
boris 1c31fa80d2 修复AiQuant策略表达式回测执行语义 2026-06-15 11:16:04 +08:00
boris d3d08276ae 修正AiQuant多时间调仓语义 2026-06-14 02:37:26 +08:00
boris 80b34280c2 修正滑点成交后的持仓估值 2026-06-14 02:09:44 +08:00
15 changed files with 11037 additions and 1090 deletions
File diff suppressed because it is too large Load Diff
+405 -117
View File
@@ -1,6 +1,7 @@
use std::collections::{BTreeMap, HashMap, HashSet};
use std::fs;
use std::path::Path;
use std::sync::{Arc, OnceLock};
use chrono::{NaiveDate, NaiveDateTime};
use serde::{Deserialize, Serialize};
@@ -159,14 +160,14 @@ impl DailyMarketSnapshot {
if !self.upper_limit.is_finite() || self.upper_limit <= 0.0 {
return false;
}
price >= self.upper_limit - self.effective_price_tick() + 1e-6
price >= self.upper_limit - 1e-9
}
pub fn is_at_lower_limit_price(&self, price: f64) -> bool {
if !self.lower_limit.is_finite() || self.lower_limit <= 0.0 {
return false;
}
price <= self.lower_limit + self.effective_price_tick() - 1e-6
price <= self.lower_limit + 1e-9
}
}
@@ -207,6 +208,8 @@ pub struct CandidateEligibility {
pub allow_sell: bool,
pub is_kcb: bool,
pub is_one_yuan: bool,
#[serde(default)]
pub risk_level_code: Option<String>,
}
impl CandidateEligibility {
@@ -364,6 +367,17 @@ pub struct DailySnapshotBundle {
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)]
pub struct PriceBar {
#[serde(with = "date_format")]
@@ -466,7 +480,17 @@ pub fn decision_adjusted_cap_bn(
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 {
if factor_market_cap_is_decision_adjusted(factor) {
return factor.market_cap_bn;
}
decision_adjusted_cap_bn(factor.date, factor.market_cap_bn, market)
}
@@ -474,18 +498,35 @@ pub fn decision_free_float_cap_bn(
factor: &DailyFactorSnapshot,
market: &DailyMarketSnapshot,
) -> 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)
}
#[derive(Debug, Clone)]
struct SymbolPriceSeries {
snapshots: Vec<DailyMarketSnapshot>,
symbol: String,
dates: Vec<NaiveDate>,
timestamps: Vec<Option<String>>,
day_opens: Vec<f64>,
opens: Vec<f64>,
highs: Vec<f64>,
lows: Vec<f64>,
closes: Vec<f64>,
prev_closes: 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>,
close_prefix: Vec<f64>,
prev_close_prefix: Vec<f64>,
@@ -494,33 +535,71 @@ struct SymbolPriceSeries {
}
impl SymbolPriceSeries {
fn new(rows: &[DailyMarketSnapshot]) -> Self {
let mut sorted = rows.to_vec();
fn new<'a, I>(symbol: String, rows: I) -> Self
where
I: IntoIterator<Item = &'a DailyMarketSnapshot>,
{
let mut sorted = rows.into_iter().collect::<Vec<_>>();
sorted.sort_by_key(|row| row.date);
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 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 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
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()
.map(|row| row.volume as f64)
.map(|row| row.trading_phase.clone())
.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 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);
let volume_values = volumes
.iter()
.map(|value| *value as f64)
.collect::<Vec<_>>();
let volume_prefix = prefix_sums(&volume_values);
Self {
snapshots: sorted,
symbol,
dates,
timestamps,
day_opens,
opens,
highs,
lows,
closes,
prev_closes,
last_prices,
bid1s,
ask1s,
volumes,
tick_volumes,
bid1_volumes,
ask1_volumes,
trading_phases,
paused,
upper_limits,
lower_limits,
price_ticks,
open_prefix,
close_prefix,
prev_close_prefix,
@@ -548,7 +627,7 @@ impl SymbolPriceSeries {
return Vec::new();
};
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(
@@ -569,7 +648,31 @@ impl SymbolPriceSeries {
return Vec::new();
};
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> {
@@ -656,7 +759,12 @@ impl SymbolPriceSeries {
return None;
}
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> {
@@ -667,9 +775,9 @@ impl SymbolPriceSeries {
}
}
fn values_for(&self, field: PriceField) -> &[f64] {
fn price_values_for(&self, field: PriceField) -> &[f64] {
match field {
PriceField::DayOpen => &self.opens,
PriceField::DayOpen => &self.day_opens,
PriceField::Open => &self.opens,
PriceField::Close => &self.closes,
PriceField::Last => &self.last_prices,
@@ -681,15 +789,7 @@ impl SymbolPriceSeries {
if end == 0 {
return None;
}
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)
self.price_values_for(field).get(end - 1).copied()
}
fn prefix_for(&self, field: PriceField) -> &[f64] {
@@ -700,6 +800,54 @@ impl SymbolPriceSeries {
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)]
@@ -835,21 +983,18 @@ impl BenchmarkPriceSeries {
pub struct DataSet {
instruments: HashMap<String, Instrument>,
calendar: TradingCalendar,
market_by_date: BTreeMap<NaiveDate, Vec<DailyMarketSnapshot>>,
market_index: HashMap<(NaiveDate, String), DailyMarketSnapshot>,
factor_by_date: BTreeMap<NaiveDate, Vec<DailyFactorSnapshot>>,
factor_index: HashMap<(NaiveDate, String), DailyFactorSnapshot>,
market_by_date: BTreeMap<NaiveDate, Vec<Arc<DailyMarketSnapshot>>>,
factor_by_date: BTreeMap<NaiveDate, Vec<Arc<DailyFactorSnapshot>>>,
factor_text_by_date: BTreeMap<NaiveDate, Vec<FactorTextValue>>,
factor_text_index: HashMap<(NaiveDate, String, String), FactorTextValue>,
candidate_by_date: BTreeMap<NaiveDate, Vec<CandidateEligibility>>,
candidate_index: HashMap<(NaiveDate, String), CandidateEligibility>,
candidate_by_date: BTreeMap<NaiveDate, Vec<Arc<CandidateEligibility>>>,
corporate_actions_by_date: BTreeMap<NaiveDate, Vec<CorporateAction>>,
execution_quotes_by_date: HashMap<NaiveDate, HashMap<String, Vec<IntradayExecutionQuote>>>,
order_book_depth_index: HashMap<(NaiveDate, String), Vec<IntradayOrderBookDepthLevel>>,
benchmark_by_date: BTreeMap<NaiveDate, BenchmarkSnapshot>,
market_series_by_symbol: HashMap<String, SymbolPriceSeries>,
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,
futures_params_by_symbol: HashMap<String, Vec<FuturesTradingParameter>>,
}
@@ -1087,24 +1232,23 @@ impl DataSet {
) -> Result<Self, DataSetError> {
let benchmark_code = collect_benchmark_code(&benchmarks)?;
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
.into_iter()
.map(|instrument| (instrument.symbol.clone(), instrument))
.collect::<HashMap<_, _>>();
let market_by_date = group_by_date(market.clone(), |item| item.date);
let market_index = market
.into_iter()
.map(|item| ((item.date, item.symbol.clone()), item))
.collect::<HashMap<_, _>>();
let market = market.into_iter().map(Arc::new).collect::<Vec<_>>();
let mut market_by_date = group_arc_by_date(&market, |item| item.date);
sort_arc_groups_by_symbol(&mut market_by_date, |item| item.symbol.as_str());
let factor_by_date = group_by_date(factors.clone(), |item| item.date);
let factor_index = factors
.into_iter()
.map(|item| ((item.date, item.symbol.clone()), item))
.collect::<HashMap<_, _>>();
let mut factor_by_date = group_arc_by_date(&factors, |item| item.date);
sort_arc_groups_by_symbol(&mut factor_by_date, |item| item.symbol.as_str());
let factor_texts = factor_texts
.into_iter()
.filter_map(|mut item| {
@@ -1122,11 +1266,8 @@ impl DataSet {
.map(|item| ((item.date, item.symbol.clone(), item.field.clone()), item))
.collect::<HashMap<_, _>>();
let candidate_by_date = group_by_date(candidates.clone(), |item| item.date);
let candidate_index = candidates
.into_iter()
.map(|item| ((item.date, item.symbol.clone()), item))
.collect::<HashMap<_, _>>();
let mut candidate_by_date = group_arc_by_date(&candidates, |item| item.date);
sort_arc_groups_by_symbol(&mut candidate_by_date, |item| item.symbol.as_str());
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 order_book_depth_index = build_order_book_depth_index(order_book_depth);
@@ -1138,32 +1279,23 @@ impl DataSet {
let market_series_by_symbol = build_market_series(&market_by_date);
let benchmark_series_cache =
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);
Ok(Self {
instruments,
calendar,
market_by_date,
market_index,
factor_by_date,
factor_index,
factor_text_by_date,
factor_text_index,
candidate_by_date,
candidate_index,
corporate_actions_by_date,
execution_quotes_by_date,
order_book_depth_index,
benchmark_by_date,
market_series_by_symbol,
benchmark_series_cache,
eligible_universe_by_date,
eligible_universe_by_date: Arc::new(OnceLock::new()),
benchmark_code,
futures_params_by_symbol,
})
@@ -1207,15 +1339,21 @@ impl DataSet {
}
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()))
}
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> {
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> {
@@ -1237,6 +1375,13 @@ impl DataSet {
.unwrap_or(&[])
}
pub fn has_execution_quotes_on_date(&self, date: NaiveDate) -> bool {
self.execution_quotes_by_date
.get(&date)
.map(|rows_by_symbol| !rows_by_symbol.is_empty())
.unwrap_or(false)
}
pub fn execution_quote_key_set(&self) -> HashSet<(NaiveDate, String)> {
self.execution_quotes_by_date
.iter()
@@ -1248,6 +1393,14 @@ impl DataSet {
.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 {
let mut added = 0usize;
let mut touched = HashSet::<(NaiveDate, String)>::new();
@@ -1307,6 +1460,49 @@ impl DataSet {
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> {
self.benchmark_by_date.values().cloned().collect()
}
@@ -1913,6 +2109,7 @@ impl DataSet {
.range(start..=end)
.flat_map(|(_, rows)| rows.iter())
.filter(|row| row.symbol == symbol)
.map(Arc::as_ref)
.map(daily_market_price_bar)
.collect(),
Some("1m") | Some("tick") => {
@@ -1952,15 +2149,19 @@ impl DataSet {
}
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))
let series = self.market_series_by_symbol.get(symbol)?;
let end = series.previous_completed_end_index(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> {
self.factor_by_date
.get(&date)
.map(|rows| rows.iter().collect())
.map(|rows| rows.iter().map(Arc::as_ref).collect())
.unwrap_or_default()
}
@@ -1974,14 +2175,14 @@ impl DataSet {
pub fn market_snapshots_on(&self, date: NaiveDate) -> Vec<&DailyMarketSnapshot> {
self.market_by_date
.get(&date)
.map(|rows| rows.iter().collect())
.map(|rows| rows.iter().map(Arc::as_ref).collect())
.unwrap_or_default()
}
pub fn candidate_snapshots_on(&self, date: NaiveDate) -> Vec<&CandidateEligibility> {
self.candidate_by_date
.get(&date)
.map(|rows| rows.iter().collect())
.map(|rows| rows.iter().map(Arc::as_ref).collect())
.unwrap_or_default()
}
@@ -1993,12 +2194,20 @@ impl DataSet {
Ok(DailySnapshotBundle {
date,
benchmark,
market: self.market_by_date.get(&date).cloned().unwrap_or_default(),
factors: self.factor_by_date.get(&date).cloned().unwrap_or_default(),
market: self
.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
.candidate_by_date
.get(&date)
.cloned()
.map(|rows| rows.iter().map(|row| row.as_ref().clone()).collect())
.unwrap_or_default(),
corporate_actions: self
.corporate_actions_by_date
@@ -2027,10 +2236,10 @@ impl DataSet {
field: &str,
include_now: bool,
) -> Vec<f64> {
self.history_daily_snapshots(date, symbol, bar_count, include_now)
.into_iter()
.filter_map(|row| daily_market_numeric_value(&row, field))
.collect()
self.market_series_by_symbol
.get(symbol)
.map(|series| series.trailing_numeric_values(date, bar_count, field, include_now))
.unwrap_or_default()
}
fn history_intraday_values(
@@ -2069,12 +2278,7 @@ impl DataSet {
let start = days.len().saturating_sub(count);
days[start..]
.iter()
.map(|day| {
evaluator(
self.candidate_index.get(&(*day, symbol.to_string())),
self.market_index.get(&(*day, symbol.to_string())),
)
})
.map(|day| evaluator(self.candidate(*day, symbol), self.market(*day, symbol)))
.collect()
}
@@ -2371,6 +2575,14 @@ impl DataSet {
pub fn eligible_universe_on(&self, date: NaiveDate) -> &[EligibleUniverseSnapshot] {
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)
.map(Vec::as_slice)
.unwrap_or(&[])
@@ -2754,28 +2966,6 @@ 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> {
match normalize_field(field).as_str() {
"last" | "last_price" | "close" | "price" => Some(snapshot.last_price),
@@ -2911,6 +3101,13 @@ fn read_candidates(path: &Path) -> Result<Vec<CandidateEligibility>, DataSetErro
allow_sell: row.parse_bool(6)?,
is_kcb: row.parse_optional_bool(7).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)
@@ -3268,6 +3465,38 @@ where
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> {
let mut codes = benchmarks
.iter()
@@ -3337,21 +3566,24 @@ mod optional_date_format {
}
fn build_market_series(
market_by_date: &BTreeMap<NaiveDate, Vec<DailyMarketSnapshot>>,
market_by_date: &BTreeMap<NaiveDate, Vec<Arc<DailyMarketSnapshot>>>,
) -> HashMap<String, SymbolPriceSeries> {
let mut grouped = HashMap::<String, Vec<DailyMarketSnapshot>>::new();
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());
.push(row.as_ref());
}
}
grouped
.into_iter()
.map(|(symbol, rows)| (symbol, SymbolPriceSeries::new(&rows)))
.map(|(symbol, rows)| {
let series = SymbolPriceSeries::new(symbol.clone(), rows);
(symbol, series)
})
.collect()
}
@@ -3413,9 +3645,9 @@ fn build_order_book_depth_index(
}
fn build_eligible_universe(
factor_by_date: &BTreeMap<NaiveDate, Vec<DailyFactorSnapshot>>,
candidate_index: &HashMap<(NaiveDate, String), CandidateEligibility>,
market_index: &HashMap<(NaiveDate, String), DailyMarketSnapshot>,
factor_by_date: &BTreeMap<NaiveDate, Vec<Arc<DailyFactorSnapshot>>>,
candidate_by_date: &BTreeMap<NaiveDate, Vec<Arc<CandidateEligibility>>>,
market_by_date: &BTreeMap<NaiveDate, Vec<Arc<DailyMarketSnapshot>>>,
instruments: &HashMap<String, Instrument>,
) -> BTreeMap<NaiveDate, Vec<EligibleUniverseSnapshot>> {
let mut per_date = BTreeMap::<NaiveDate, Vec<EligibleUniverseSnapshot>>::new();
@@ -3426,11 +3658,14 @@ fn build_eligible_universe(
if factor.market_cap_bn <= 0.0 || !factor.market_cap_bn.is_finite() {
continue;
}
let key = (*date, factor.symbol.clone());
let Some(candidate) = candidate_index.get(&key) else {
let Some(candidate) = candidate_by_date.get(date).and_then(|rows| {
find_arc_by_symbol(rows, &factor.symbol, |row| row.symbol.as_str())
}) else {
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;
};
if ChinaAShareRiskControl::selection_rejection_reason(
@@ -3574,11 +3809,14 @@ mod tests {
#[test]
fn decision_volume_average_uses_previous_completed_days_only() {
let series = SymbolPriceSeries::new(&[
let series = SymbolPriceSeries::new(
"000001.SZ".to_string(),
&[
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!(
series.decision_close_moving_average(
@@ -3608,11 +3846,14 @@ mod tests {
let mut current = market_row("2025-01-06", 12.0, 10_000);
current.close = 9_999.0;
current.last_price = 9_999.0;
let series = SymbolPriceSeries::new(&[
let series = SymbolPriceSeries::new(
"000001.SZ".to_string(),
&[
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();
assert_eq!(
@@ -3629,12 +3870,15 @@ mod tests {
fn decision_volume_average_includes_paused_zero_volume_days() {
let mut paused = market_row("2025-01-03", 11.0, 0);
paused.paused = true;
let series = SymbolPriceSeries::new(&[
let series = SymbolPriceSeries::new(
"000001.SZ".to_string(),
&[
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(
@@ -3708,6 +3952,7 @@ mod tests {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
};
let data = DataSet::from_components(
vec![instrument("000001.SZ"), instrument("000002.SZ")],
@@ -3740,6 +3985,49 @@ mod tests {
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]
fn benchmark_decision_close_windows_exclude_current_close() {
let series = BenchmarkPriceSeries::new(&[
+219 -3
View File
@@ -1,6 +1,6 @@
use std::collections::{BTreeMap, BTreeSet};
use chrono::{Datelike, NaiveDate};
use chrono::{Datelike, Duration, NaiveDate, NaiveTime};
use serde::Serialize;
use thiserror::Error;
@@ -341,6 +341,8 @@ pub struct BacktestEngine<S, C, R> {
futures_cost_model: FuturesTransactionCostModel,
futures_validation_config: FuturesValidationConfig,
execution_quote_loader: Option<ExecutionQuoteLoader>,
execution_quote_request_cache:
BTreeSet<(NaiveDate, String, Option<NaiveTime>, Option<NaiveTime>)>,
}
impl<S, C, R> BacktestEngine<S, C, R> {
@@ -369,6 +371,7 @@ impl<S, C, R> BacktestEngine<S, C, R> {
futures_cost_model: FuturesTransactionCostModel::default(),
futures_validation_config: FuturesValidationConfig::default(),
execution_quote_loader: None,
execution_quote_request_cache: BTreeSet::new(),
}
}
@@ -523,20 +526,60 @@ where
return Ok(());
}
let start_time = start_time.or_else(|| self.broker.intraday_execution_start_time());
let caller_start_time = start_time;
let caller_end_time = end_time;
let start_time = caller_start_time.or_else(|| self.broker.intraday_execution_start_time());
let mut symbols = execution_quote_symbols_for_decision(decision, portfolio, open_orders);
self.load_missing_execution_quotes(execution_date, start_time, end_time, &mut symbols)?;
if caller_start_time.is_none() && caller_end_time.is_none() {
for ((intent_start_time, intent_end_time), mut intent_symbols) in
algo_execution_quote_windows_for_decision(decision, portfolio)
{
self.load_missing_execution_quotes(
execution_date,
intent_start_time,
intent_end_time,
&mut intent_symbols,
)?;
}
}
Ok(())
}
fn load_missing_execution_quotes(
&mut self,
execution_date: NaiveDate,
start_time: Option<NaiveTime>,
end_time: Option<NaiveTime>,
symbols: &mut BTreeSet<String>,
) -> Result<(), BacktestError> {
symbols.retain(|symbol| {
let request_key = (execution_date, symbol.clone(), start_time, end_time);
if self.execution_quote_request_cache.contains(&request_key) {
return false;
}
if start_time.is_some() && end_time.is_none() {
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)
});
if symbols.is_empty() {
return Ok(());
}
let requested_symbols = symbols.iter().cloned().collect::<Vec<_>>();
let request = ExecutionQuoteRequest {
date: execution_date,
start_time,
end_time,
symbols,
symbols: std::mem::take(symbols),
};
let quotes = self
.execution_quote_loader
@@ -544,6 +587,72 @@ where
.expect("checked execution quote loader")
.as_mut()(request)?;
self.data.add_execution_quotes(quotes);
for symbol in requested_symbols {
self.execution_quote_request_cache.insert((
execution_date,
symbol,
start_time,
end_time,
));
}
Ok(())
}
fn ensure_execution_quotes_for_portfolio_times(
&mut self,
execution_date: NaiveDate,
portfolio: &PortfolioState,
quote_times: &[NaiveTime],
) -> Result<(), BacktestError> {
if self.execution_quote_loader.is_none() || quote_times.is_empty() {
return Ok(());
}
let base_symbols = portfolio
.positions()
.keys()
.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 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(())
}
@@ -1875,6 +1984,39 @@ where
"on_day:pre",
)?;
let on_day_open_orders = self.open_order_views();
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(
execution_date,
&portfolio,
&decision_quote_times,
)?;
let mut decision = decision_slot
.map(|(decision_idx, decision_date)| {
self.strategy.on_day(&StrategyContext {
@@ -3211,12 +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 {
decision.order_intents.iter().any(|intent| {
matches!(
intent,
OrderIntent::AlgoValue { .. }
| OrderIntent::AlgoPercent { .. }
| OrderIntent::TimedTargetValue { .. }
| OrderIntent::TargetPortfolioSmart {
order_prices: Some(TargetPortfolioOrderPricing::AlgoOrder { .. }),
..
@@ -3249,6 +3410,7 @@ fn execution_quote_symbols_for_decision(
| OrderIntent::TargetShares { symbol, .. }
| OrderIntent::LimitTargetShares { symbol, .. }
| OrderIntent::TargetValue { symbol, .. }
| OrderIntent::TimedTargetValue { symbol, .. }
| OrderIntent::LimitTargetValue { symbol, .. }
| OrderIntent::Value { symbol, .. }
| OrderIntent::LimitValue { symbol, .. }
@@ -3283,6 +3445,60 @@ fn execution_quote_symbols_for_decision(
symbols
}
fn algo_execution_quote_windows_for_decision(
decision: &StrategyDecision,
portfolio: &PortfolioState,
) -> BTreeMap<(Option<NaiveTime>, Option<NaiveTime>), BTreeSet<String>> {
let mut groups = BTreeMap::<(Option<NaiveTime>, Option<NaiveTime>), BTreeSet<String>>::new();
for intent in &decision.order_intents {
match intent {
OrderIntent::AlgoValue {
symbol,
start_time,
end_time,
..
}
| OrderIntent::AlgoPercent {
symbol,
start_time,
end_time,
..
}
| OrderIntent::TimedTargetValue {
symbol,
start_time,
end_time,
..
} => {
if start_time.is_some() || end_time.is_some() {
groups
.entry((*start_time, *end_time))
.or_default()
.insert(symbol.clone());
}
}
OrderIntent::TargetPortfolioSmart {
target_weights,
order_prices:
Some(TargetPortfolioOrderPricing::AlgoOrder {
start_time,
end_time,
..
}),
..
} => {
if start_time.is_some() || end_time.is_some() {
let symbols = groups.entry((*start_time, *end_time)).or_default();
symbols.extend(portfolio.positions().keys().cloned());
symbols.extend(target_weights.keys().cloned());
}
}
_ => {}
}
}
groups
}
fn collect_scheduled_decisions<S: Strategy>(
strategy: &mut S,
scheduler: &Scheduler<'_>,
File diff suppressed because it is too large Load Diff
+409 -7
View File
@@ -5,9 +5,10 @@ use serde::{Deserialize, Serialize};
use serde_json::Value;
use crate::{
PlatformAccountActionKind, PlatformExplicitActionStage, PlatformExplicitCancelKind,
PlatformExplicitOrderKind, PlatformExprStrategyConfig, PlatformRebalanceSchedule,
PlatformScheduleFrequency, PlatformTradeAction, PlatformUniverseActionKind, ScheduleTimeRule,
DynamicSlippageConfig, MatchingType, PlatformAccountActionKind, PlatformExplicitActionStage,
PlatformExplicitCancelKind, PlatformExplicitOrderKind, PlatformExprStrategyConfig,
PlatformRebalanceSchedule, PlatformScheduleFrequency, PlatformTradeAction,
PlatformUniverseActionKind, ScheduleTimeRule, SlippageModel,
};
#[derive(Debug, Clone, Default, Deserialize, Serialize)]
@@ -22,6 +23,10 @@ pub struct StrategyRuntimeSpec {
#[serde(default)]
pub universe: Option<StrategyUniverseSpec>,
#[serde(default)]
pub rebalance: Option<StrategyRebalanceSpec>,
#[serde(default)]
pub trade_times: Vec<String>,
#[serde(default)]
pub signal_symbol: Option<String>,
#[serde(default)]
pub execution: Option<StrategyExecutionSpec>,
@@ -49,6 +54,13 @@ pub struct StrategyUniverseSpec {
pub exclude: Vec<String>,
}
#[derive(Debug, Clone, Default, Deserialize, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct StrategyRebalanceSpec {
#[serde(default)]
pub trade_times: Vec<String>,
}
#[derive(Debug, Clone, Default, Deserialize, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct StrategyExecutionSpec {
@@ -128,6 +140,8 @@ pub struct StrategyEngineConfig {
#[serde(default)]
pub dividend_reinvestment: Option<bool>,
#[serde(default)]
pub weak_market_shrink_overweight_threshold: Option<f64>,
#[serde(default)]
pub rebalance_schedule: Option<StrategyExpressionScheduleConfig>,
#[serde(default)]
pub skip_windows: Vec<SkipWindowConfig>,
@@ -165,6 +179,10 @@ pub struct MovingAverageFilterConfig {
#[serde(default)]
pub long_days: Option<usize>,
#[serde(default)]
pub volume_short_days: Option<usize>,
#[serde(default)]
pub volume_long_days: Option<usize>,
#[serde(default)]
pub rsi_rate: Option<f64>,
}
@@ -284,6 +302,14 @@ pub struct StrategyExpressionTradingConfig {
#[serde(default)]
pub retry_empty_rebalance: Option<bool>,
#[serde(default)]
pub weak_market_shrink_overweight_threshold: Option<f64>,
#[serde(default)]
pub delayed_limit_open_exit: Option<bool>,
#[serde(default)]
pub delayed_limit_open_exit_time: Option<String>,
#[serde(default)]
pub release_slot_on_exit_signal: Option<bool>,
#[serde(default)]
pub subscription_guard_required: Option<bool>,
#[serde(default)]
pub actions: Vec<StrategyExpressionActionConfig>,
@@ -384,6 +410,97 @@ fn apply_cost_overrides(
}
}
fn normalize_model_name(value: &str) -> String {
value.trim().to_ascii_lowercase().replace('-', "_")
}
fn parse_matching_type(value: Option<&str>) -> Option<MatchingType> {
match normalize_model_name(value?).as_str() {
"open_auction" => Some(MatchingType::OpenAuction),
"current_bar_close" => Some(MatchingType::CurrentBarClose),
"next_bar_open" => Some(MatchingType::NextBarOpen),
"next_tick_last" => Some(MatchingType::NextTickLast),
"next_tick_best_own" => Some(MatchingType::NextTickBestOwn),
"next_tick_best_counterparty" => Some(MatchingType::NextTickBestCounterparty),
"counterparty_offer" => Some(MatchingType::CounterpartyOffer),
"vwap" => Some(MatchingType::Vwap),
"twap" => Some(MatchingType::Twap),
_ => None,
}
}
fn parse_slippage_model(
model: Option<&str>,
value: Option<f64>,
impact_coefficient: Option<f64>,
volatility_coefficient: Option<f64>,
max_value: Option<f64>,
) -> Option<SlippageModel> {
let value = valid_non_negative(value);
let impact_coefficient = valid_non_negative(impact_coefficient);
let volatility_coefficient = valid_non_negative(volatility_coefficient);
let max_value = valid_non_negative(max_value);
let model = model
.map(normalize_model_name)
.filter(|item| !item.is_empty())
.unwrap_or_else(|| {
if value.is_some_and(|item| item > 0.0) {
"price_ratio".to_string()
} else {
"none".to_string()
}
});
match model.as_str() {
"none" => Some(SlippageModel::None),
"price_ratio" => Some(SlippageModel::PriceRatio(value.unwrap_or(0.0))),
"tick_size" => Some(SlippageModel::TickSize(value.unwrap_or(0.0))),
"limit_price" => Some(SlippageModel::LimitPrice),
"dynamic" | "dynamic_volume_volatility" => {
Some(SlippageModel::Dynamic(DynamicSlippageConfig::new(
impact_coefficient.unwrap_or(0.5),
volatility_coefficient.unwrap_or(0.3),
max_value.or(value).unwrap_or(0.01),
)))
}
_ => None,
}
}
fn apply_execution_behavior_overrides(
cfg: &mut PlatformExprStrategyConfig,
matching_type: Option<&str>,
slippage_model: Option<&str>,
slippage_value: Option<f64>,
slippage_impact_coefficient: Option<f64>,
slippage_volatility_coefficient: Option<f64>,
slippage_max_value: Option<f64>,
strict_value_budget: Option<bool>,
) {
if let Some(matching_type) = parse_matching_type(matching_type) {
cfg.matching_type = matching_type;
}
if slippage_model.is_some()
|| slippage_value.is_some()
|| slippage_impact_coefficient.is_some()
|| slippage_volatility_coefficient.is_some()
|| slippage_max_value.is_some()
{
if let Some(parsed) = parse_slippage_model(
slippage_model,
slippage_value,
slippage_impact_coefficient,
slippage_volatility_coefficient,
slippage_max_value,
) {
cfg.slippage_model = parsed;
}
}
if let Some(enabled) = strict_value_budget {
cfg.strict_value_budget = enabled;
}
}
fn parse_usize_after(text: &str, start: usize) -> Option<(usize, usize)> {
let bytes = text.as_bytes();
let mut end = start;
@@ -453,6 +570,20 @@ fn sorted_unique_positive(mut values: Vec<usize>) -> Vec<usize> {
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(
cfg: &mut PlatformExprStrategyConfig,
benchmark_short_explicit: bool,
@@ -534,6 +665,12 @@ pub fn platform_expr_config_from_spec(
if let Some(refresh_rate) = engine.refresh_rate.filter(|value| *value > 0) {
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
.rebalance_schedule
.as_ref()
@@ -607,6 +744,16 @@ pub fn platform_expr_config_from_spec(
engine.stamp_tax_rate_before_change,
engine.stamp_tax_rate_after_change,
);
apply_execution_behavior_overrides(
&mut cfg,
engine.matching_type.as_deref(),
engine.slippage_model.as_deref(),
engine.slippage_value,
engine.slippage_impact_coefficient,
engine.slippage_volatility_coefficient,
engine.slippage_max_value,
engine.strict_value_budget,
);
}
if let Some(spec_signal_symbol) = spec
@@ -804,6 +951,26 @@ pub fn platform_expr_config_from_spec(
if let Some(enabled) = trading.retry_empty_rebalance {
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 {
cfg.release_slot_on_exit_signal = enabled;
}
if let Some(enabled) = trading.delayed_limit_open_exit {
cfg.delayed_limit_open_exit_enabled = enabled;
if enabled {
cfg.delayed_limit_open_exit_time = trading
.delayed_limit_open_exit_time
.as_deref()
.and_then(|value| parse_schedule_clock_time(Some(value)));
} else {
cfg.delayed_limit_open_exit_time = None;
}
}
if let Some(enabled) = spec
.engine_config
.as_ref()
@@ -864,10 +1031,36 @@ pub fn platform_expr_config_from_spec(
}
if let Some(stock_ma_filter) = engine.stock_ma_filter.as_ref() {
let ratio = stock_ma_filter.rsi_rate.unwrap_or(1.0001);
cfg.stock_filter_expr = format!(
"stock_ma_short > stock_ma_mid * {} && stock_ma_mid * {} > stock_ma_long",
ratio, ratio
);
let short_days = stock_ma_filter
.short_days
.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() {
let ratio = index_throttle.rsi_rate.unwrap_or(1.0001);
@@ -930,6 +1123,28 @@ pub fn platform_expr_config_from_spec(
cfg.retry_empty_rebalance = true;
}
}
let trade_times = spec_trade_times(spec);
if let Some(main_trade_time) = trade_times.last().copied() {
cfg.intraday_execution_time = Some(main_trade_time);
}
let delayed_limit_open_exit_explicit = spec
.runtime_expressions
.as_ref()
.and_then(|runtime_expr| runtime_expr.trading.as_ref())
.and_then(|trading| trading.delayed_limit_open_exit)
.is_some();
if aiquant_compat && !delayed_limit_open_exit_explicit && trade_times.len() > 1 {
let delayed_time = trade_times[0];
if trade_times
.last()
.copied()
.map(|main_time| main_time != delayed_time)
.unwrap_or(true)
{
cfg.delayed_limit_open_exit_enabled = true;
cfg.delayed_limit_open_exit_time = Some(delayed_time);
}
}
if let Some(execution) = spec.execution.as_ref() {
apply_cost_overrides(
&mut cfg,
@@ -938,6 +1153,23 @@ pub fn platform_expr_config_from_spec(
execution.stamp_tax_rate_before_change,
execution.stamp_tax_rate_after_change,
);
apply_execution_behavior_overrides(
&mut cfg,
execution.matching_type.as_deref(),
execution.slippage_model.as_deref(),
execution.slippage_value,
execution.slippage_impact_coefficient,
execution.slippage_volatility_coefficient,
execution.slippage_max_value,
execution.strict_value_budget,
);
}
if cfg.aiquant_transaction_cost
&& cfg
.minimum_commission
.is_some_and(|value| value.is_finite() && value <= 0.0)
{
cfg.minimum_commission = None;
}
cfg
@@ -1015,6 +1247,24 @@ fn parse_schedule_clock_time(raw: Option<&str>) -> Option<NaiveTime> {
.or_else(|| NaiveTime::parse_from_str(value, "%H:%M").ok())
}
fn parse_trade_times(raw: &[String]) -> Vec<NaiveTime> {
raw.iter()
.filter_map(|item| parse_schedule_clock_time(Some(item.as_str())))
.collect()
}
fn spec_trade_times(spec: &StrategyRuntimeSpec) -> Vec<NaiveTime> {
let rebalance_times = spec
.rebalance
.as_ref()
.map(|rebalance| parse_trade_times(&rebalance.trade_times))
.unwrap_or_default();
if !rebalance_times.is_empty() {
return rebalance_times;
}
parse_trade_times(&spec.trade_times)
}
fn parse_platform_trade_action(
action: &StrategyExpressionActionConfig,
) -> Option<PlatformTradeAction> {
@@ -1335,6 +1585,7 @@ mod tests {
"rotationEnabled": false,
"dailyTopUp": true,
"retryEmptyRebalance": true,
"weakMarketShrinkOverweightThreshold": 1.1,
"stage": "open_auction",
"actions": [
{
@@ -1358,6 +1609,7 @@ mod tests {
assert!(!cfg.rotation_enabled);
assert!(cfg.daily_top_up_enabled);
assert!(cfg.retry_empty_rebalance);
assert_eq!(cfg.weak_market_shrink_overweight_threshold, Some(1.1));
assert!(!cfg.calendar_rebalance_interval);
assert!(cfg.aiquant_transaction_cost);
assert_eq!(cfg.explicit_actions.len(), 1);
@@ -1367,6 +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]
fn parses_execution_cost_overrides_into_platform_config() {
let spec = serde_json::json!({
@@ -1391,6 +1656,74 @@ mod tests {
assert_eq!(cfg.stamp_tax_rate_after_change, Some(0.0005));
}
#[test]
fn parses_execution_slippage_overrides_into_platform_config() {
let spec = serde_json::json!({
"execution": {
"compatibilityProfile": "aiquant_rqalpha",
"matchingType": "next_tick_last",
"slippageModel": "price_ratio",
"slippageValue": 0.001,
"strictValueBudget": true
},
"engineConfig": {
"matchingType": "current_bar_close",
"slippageModel": "none",
"slippageValue": 0.0,
"strictValueBudget": false
}
});
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
assert_eq!(cfg.matching_type, MatchingType::NextTickLast);
assert_eq!(cfg.slippage_model, SlippageModel::PriceRatio(0.001));
assert!(cfg.strict_value_budget);
}
#[test]
fn parses_dynamic_slippage_into_platform_config() {
let spec = serde_json::json!({
"execution": {
"slippageModel": "dynamic",
"slippageImpactCoefficient": 0.6,
"slippageVolatilityCoefficient": 0.2,
"slippageMaxValue": 0.015
}
});
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
assert_eq!(
cfg.slippage_model,
SlippageModel::Dynamic(DynamicSlippageConfig::new(0.6, 0.2, 0.015))
);
}
#[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]
fn aiquant_profile_defaults_to_daily_top_up_and_empty_retry() {
let spec = serde_json::json!({
@@ -1497,4 +1830,73 @@ mod tests {
assert!(!cfg.calendar_rebalance_interval);
assert!(cfg.aiquant_transaction_cost);
}
#[test]
fn parses_aiquant_rebalance_trade_times_for_delayed_limit_exit() {
let spec = serde_json::json!({
"execution": { "compatibilityProfile": "aiquant_rqalpha" },
"rebalance": { "tradeTimes": ["10:31", "10:40"] },
"runtimeExpressions": {
"schedule": { "frequency": "daily", "time": "10:40" }
}
});
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
assert_eq!(
cfg.intraday_execution_time,
Some(NaiveTime::from_hms_opt(10, 40, 0).unwrap())
);
assert!(cfg.delayed_limit_open_exit_enabled);
assert_eq!(
cfg.delayed_limit_open_exit_time,
Some(NaiveTime::from_hms_opt(10, 31, 0).unwrap())
);
}
#[test]
fn parses_explicit_delayed_limit_open_exit() {
let spec = serde_json::json!({
"execution": { "compatibilityProfile": "aiquant_rqalpha" },
"runtimeExpressions": {
"schedule": { "frequency": "daily", "time": "10:40" },
"trading": {
"delayedLimitOpenExit": true,
"delayedLimitOpenExitTime": "10:31"
}
}
});
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
assert_eq!(
cfg.intraday_execution_time,
Some(NaiveTime::from_hms_opt(10, 40, 0).unwrap())
);
assert!(cfg.delayed_limit_open_exit_enabled);
assert_eq!(
cfg.delayed_limit_open_exit_time,
Some(NaiveTime::from_hms_opt(10, 31, 0).unwrap())
);
}
#[test]
fn explicit_delayed_limit_open_exit_false_overrides_aiquant_trade_times() {
let spec = serde_json::json!({
"execution": { "compatibilityProfile": "aiquant_rqalpha" },
"rebalance": { "tradeTimes": ["10:31", "10:40"] },
"runtimeExpressions": {
"schedule": { "frequency": "daily", "time": "10:40" },
"trading": {
"delayedLimitOpenExit": false,
"delayedLimitOpenExitTime": "10:31"
}
}
});
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
assert!(!cfg.delayed_limit_open_exit_enabled);
assert_eq!(cfg.delayed_limit_open_exit_time, None);
}
}
+93 -14
View File
@@ -20,6 +20,7 @@ pub struct Position {
pub average_cost: f64,
pub last_price: f64,
pub realized_pnl: f64,
realized_entry_pnl: f64,
pub trading_pnl: f64,
pub position_pnl: f64,
pub dividend_receivable: f64,
@@ -44,6 +45,7 @@ impl Position {
average_cost: 0.0,
last_price: 0.0,
realized_pnl: 0.0,
realized_entry_pnl: 0.0,
trading_pnl: 0.0,
position_pnl: 0.0,
dividend_receivable: 0.0,
@@ -66,6 +68,16 @@ impl Position {
}
pub fn buy(&mut self, date: NaiveDate, quantity: u32, price: f64) {
self.buy_with_mark_price(date, quantity, price, price);
}
pub fn buy_with_mark_price(
&mut self,
date: NaiveDate,
quantity: u32,
execution_price: f64,
mark_price: f64,
) {
if quantity == 0 {
return;
}
@@ -73,19 +85,28 @@ impl Position {
self.lots.push(PositionLot {
acquired_date: date,
quantity,
entry_price: price,
price,
entry_price: execution_price,
price: execution_price,
});
self.quantity += quantity;
self.last_price = price;
self.last_price = normalized_mark_price(mark_price, execution_price);
self.day_trade_quantity_delta += quantity as i32;
self.day_buy_quantity += quantity;
self.day_buy_value += price * quantity as f64;
self.day_buy_value += execution_price * quantity as f64;
self.recalculate_average_cost();
self.refresh_day_pnl();
}
pub fn sell(&mut self, quantity: u32, price: f64) -> Result<f64, String> {
self.sell_with_mark_price(quantity, price, price)
}
pub fn sell_with_mark_price(
&mut self,
quantity: u32,
execution_price: f64,
mark_price: f64,
) -> Result<f64, String> {
if quantity > self.quantity {
return Err(format!(
"sell quantity {} exceeds current quantity {} for {}",
@@ -95,6 +116,7 @@ impl Position {
let mut remaining = quantity;
let mut realized = 0.0;
let mut realized_entry = 0.0;
while remaining > 0 {
let Some(first_lot) = self.lots.first_mut() else {
@@ -102,7 +124,8 @@ impl Position {
};
let lot_sell = remaining.min(first_lot.quantity);
realized += (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;
remaining -= lot_sell;
@@ -112,11 +135,12 @@ impl Position {
}
self.quantity -= quantity;
self.last_price = price;
self.last_price = normalized_mark_price(mark_price, execution_price);
self.realized_pnl += realized;
self.realized_entry_pnl += realized_entry;
self.day_trade_quantity_delta -= quantity as i32;
self.day_sell_quantity += quantity;
self.day_sell_value += price * quantity as f64;
self.day_sell_value += execution_price * quantity as f64;
self.recalculate_average_cost();
self.refresh_day_pnl();
Ok(realized)
@@ -138,10 +162,21 @@ impl Position {
(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 {
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 {
self.day_start_quantity
}
@@ -356,6 +391,14 @@ impl Position {
}
}
fn normalized_mark_price(mark_price: f64, fallback: f64) -> f64 {
if mark_price.is_finite() && mark_price > 0.0 {
mark_price
} else {
fallback
}
}
#[derive(Debug, Clone)]
pub struct PortfolioState {
initial_cash: f64,
@@ -738,21 +781,27 @@ impl PortfolioState {
self.positions
.values()
.filter(|position| position.quantity > 0)
.map(|position| HoldingSummary {
.map(|position| {
let market_value = position.market_value();
let entry_average_cost = position
.average_entry_price()
.filter(|value| value.is_finite() && *value > 0.0)
.unwrap_or(position.average_cost);
HoldingSummary {
date,
symbol: position.symbol.clone(),
quantity: position.quantity,
average_cost: position.average_cost,
average_cost: entry_average_cost,
last_price: position.last_price,
market_value: position.market_value(),
market_value,
value_percent: if total_equity > 0.0 {
position.market_value() / total_equity
market_value / total_equity
} else {
0.0
},
unrealized_pnl: position.unrealized_pnl(),
realized_pnl: position.realized_pnl,
pnl: position.pnl(),
unrealized_pnl: position.unrealized_entry_pnl(),
realized_pnl: position.realized_entry_pnl,
pnl: position.entry_pnl(),
trading_pnl: position.trading_pnl,
position_pnl: position.position_pnl,
dividend_receivable: position.dividend_receivable,
@@ -765,6 +814,7 @@ impl PortfolioState {
sold_value: position.sold_value(),
transaction_cost: position.transaction_cost(),
day_trade_quantity_delta: position.day_trade_quantity_delta(),
}
})
.collect()
}
@@ -788,6 +838,7 @@ impl PortfolioState {
let old_quantity = old_position.quantity;
let last_price = old_position.last_price;
let realized_pnl = old_position.realized_pnl;
let realized_entry_pnl = old_position.realized_entry_pnl;
let mut converted_lots = old_position
.lots
.into_iter()
@@ -824,6 +875,7 @@ impl PortfolioState {
successor.lots.extend(converted_lots);
successor.quantity = successor.lots.iter().map(|lot| lot.quantity).sum();
successor.realized_pnl += realized_pnl;
successor.realized_entry_pnl += realized_entry_pnl;
if converted_last_price > 0.0 {
successor.last_price = converted_last_price;
}
@@ -903,6 +955,31 @@ mod tests {
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]
fn cash_dividend_can_preserve_avg_cost_for_aiquant_compatibility() {
let date = NaiveDate::from_ymd_opt(2025, 1, 2).unwrap();
@@ -1009,6 +1086,7 @@ mod tests {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -1095,6 +1173,7 @@ mod tests {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
+116 -8
View File
@@ -41,6 +41,21 @@ impl ChinaAShareRiskControl {
candidate: &CandidateEligibility,
market: &DailyMarketSnapshot,
instrument: Option<&Instrument>,
) -> Option<&'static str> {
if let Some(reason) = Self::baseline_rejection_reason(date, candidate, market, instrument) {
return Some(reason);
}
if !candidate.allow_buy || !candidate.allow_sell {
return Some("trade_disabled");
}
None
}
pub fn baseline_rejection_reason(
date: NaiveDate,
candidate: &CandidateEligibility,
market: &DailyMarketSnapshot,
instrument: Option<&Instrument>,
) -> Option<&'static str> {
if let Some(reason) = Self::instrument_rejection_reason(instrument, date) {
return Some(reason);
@@ -60,9 +75,6 @@ impl ChinaAShareRiskControl {
if candidate.is_one_yuan || market.day_open <= 1.0 {
return Some("one_yuan");
}
if !candidate.allow_buy || !candidate.allow_sell {
return Some("trade_disabled");
}
None
}
@@ -73,8 +85,7 @@ impl ChinaAShareRiskControl {
instrument: Option<&Instrument>,
check_price: f64,
) -> Option<&'static str> {
if let Some(reason) = Self::selection_rejection_reason(date, candidate, market, instrument)
{
if let Some(reason) = Self::baseline_rejection_reason(date, candidate, market, instrument) {
return Some(reason);
}
if !candidate.allow_buy {
@@ -100,9 +111,10 @@ impl ChinaAShareRiskControl {
if market.paused || candidate.is_paused {
return Some("paused");
}
if !candidate.allow_sell {
return Some("sell_disabled");
}
// `allow_sell` is derived from the daily candidate snapshot and may
// 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) {
return Some("open at or below lower limit");
}
@@ -123,3 +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"));
}
}
+36 -57
View File
@@ -40,6 +40,15 @@ pub trait Strategy {
fn schedule_rules(&self) -> Vec<ScheduleRule> {
Vec::new()
}
fn decision_quote_times(&self) -> Vec<NaiveTime> {
Vec::new()
}
fn decision_quote_symbols(
&mut self,
_ctx: &StrategyContext<'_>,
) -> Result<BTreeSet<String>, BacktestError> {
Ok(BTreeSet::new())
}
fn on_scheduled(
&mut self,
_ctx: &StrategyContext<'_>,
@@ -980,6 +989,14 @@ pub enum OrderIntent {
target_value: f64,
reason: String,
},
TimedTargetValue {
symbol: String,
target_value: f64,
style: AlgoOrderStyle,
start_time: Option<NaiveTime>,
end_time: Option<NaiveTime>,
reason: String,
},
LimitTargetValue {
symbol: String,
target_value: f64,
@@ -1536,6 +1553,8 @@ pub struct OmniMicroCapConfig {
pub stock_short_ma_days: usize,
pub stock_mid_ma_days: usize,
pub stock_long_ma_days: usize,
pub stock_volume_short_ma_days: usize,
pub stock_volume_long_ma_days: usize,
pub rsi_rate: f64,
pub trade_rate: f64,
pub stop_loss_ratio: f64,
@@ -1562,6 +1581,8 @@ impl OmniMicroCapConfig {
stock_short_ma_days: 5,
stock_mid_ma_days: 10,
stock_long_ma_days: 20,
stock_volume_short_ma_days: 5,
stock_volume_long_ma_days: 60,
rsi_rate: 1.0001,
trade_rate: 0.5,
stop_loss_ratio: 0.93,
@@ -1590,6 +1611,8 @@ impl OmniMicroCapConfig {
stock_short_ma_days: 5,
stock_mid_ma_days: 10,
stock_long_ma_days: 30,
stock_volume_short_ma_days: 5,
stock_volume_long_ma_days: 60,
rsi_rate: 1.0001,
trade_rate: 0.5,
stop_loss_ratio: 0.92,
@@ -2268,62 +2291,33 @@ impl OmniMicroCapStrategy {
return false;
};
// 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;
// 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();
let should_debug = if let Some(d) = *debug_date {
d == date
} else {
*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,
ctx.data.market_decision_close(date, symbol).unwrap_or(0.0),
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
);
}
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 {
let Some(volume_ma5) = ctx.data.market_decision_volume_moving_average(
date,
symbol,
self.config.stock_volume_short_ma_days,
) else {
return false;
};
let Some(volume_ma60) = ctx
.data
.market_decision_volume_moving_average(date, symbol, 60)
else {
let Some(volume_ma_long) = ctx.data.market_decision_volume_moving_average(
date,
symbol,
self.config.stock_volume_long_ma_days,
) else {
return false;
};
if volume_ma5 >= volume_ma60 {
if volume_ma5 >= volume_ma_long {
return false;
}
}
@@ -2516,18 +2510,6 @@ fn omni_truth_stock_list_candidates() -> Vec<PathBuf> {
}
}
}
let suffix = PathBuf::from("data/demo/engine_truth_stock_list.csv");
let manifest_root = Path::new(env!("CARGO_MANIFEST_DIR"));
push_unique_truth_path(
&mut candidates,
manifest_root.join("../../../").join(&suffix),
);
if let Ok(current_dir) = env::current_dir() {
for ancestor in current_dir.ancestors() {
push_unique_truth_path(&mut candidates, ancestor.join(&suffix));
}
}
candidates
}
@@ -2696,10 +2678,6 @@ impl Strategy for OmniMicroCapStrategy {
};
// 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
);
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();
@@ -2723,7 +2701,8 @@ impl Strategy for OmniMicroCapStrategy {
+ self.stop_loss_tolerance(market);
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 at_upper_limit = market.is_at_upper_limit_price(current_price);
if stop_hit || (profit_hit && !at_upper_limit) {
let sell_reason = if stop_hit {
"stop_loss_exit"
} else {
+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: "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_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: "listed_days".to_string(), field_type: "int".to_string(), detail: "上市天数。".to_string() },
],
+22 -1
View File
@@ -23,6 +23,7 @@ fn candidate() -> CandidateEligibility {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}
}
@@ -175,7 +176,7 @@ fn china_rule_hooks_block_buy_at_limit_up_and_sell_at_limit_down() {
}
#[test]
fn china_rule_hooks_use_tick_size_tolerance_for_price_limits() {
fn china_rule_hooks_use_strict_price_limits() {
let hooks = ChinaEquityRuleHooks;
let candidate = candidate();
@@ -184,6 +185,13 @@ fn china_rule_hooks_use_tick_size_tolerance_for_price_limits() {
..snapshot(10.9995, 11.0, 9.0)
};
let buy_check = hooks.can_buy(d(2024, 1, 3), &near_upper, &candidate, PriceField::Open);
assert!(buy_check.allowed);
let exact_upper = DailyMarketSnapshot {
price_tick: 0.001,
..snapshot(11.0, 11.0, 9.0)
};
let buy_check = hooks.can_buy(d(2024, 1, 3), &exact_upper, &candidate, PriceField::Open);
assert!(!buy_check.allowed);
let near_lower = DailyMarketSnapshot {
@@ -199,6 +207,19 @@ fn china_rule_hooks_use_tick_size_tolerance_for_price_limits() {
&position,
PriceField::Open,
);
assert!(sell_check.allowed);
let exact_lower = DailyMarketSnapshot {
price_tick: 0.001,
..snapshot(9.0, 11.0, 9.0)
};
let sell_check = hooks.can_sell(
d(2024, 1, 3),
&exact_lower,
&candidate,
&position,
PriceField::Open,
);
assert!(!sell_check.allowed);
}
@@ -221,6 +221,7 @@ fn engine_reinvests_dividend_receivable_in_round_lots() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: ex_date,
@@ -232,6 +233,7 @@ fn engine_reinvests_dividend_receivable_in_round_lots() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: payable_date,
@@ -243,6 +245,7 @@ fn engine_reinvests_dividend_receivable_in_round_lots() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
],
vec![
@@ -0,0 +1,646 @@
use chrono::{Duration, NaiveDate, NaiveTime};
use fidc_core::{
BacktestConfig, BacktestEngine, BenchmarkSnapshot, BrokerSimulator, CandidateEligibility,
ChinaAShareCostModel, ChinaEquityRuleHooks, DailyFactorSnapshot, DailyMarketSnapshot, DataSet,
IntradayExecutionQuote, MatchingType, OrderIntent, PriceField, Strategy, StrategyContext,
StrategyDecision,
};
use std::sync::{Arc, Mutex};
fn d(year: i32, month: u32, day: u32) -> NaiveDate {
NaiveDate::from_ymd_opt(year, month, day).expect("valid date")
}
fn t(hour: u32, minute: u32, second: u32) -> NaiveTime {
NaiveTime::from_hms_opt(hour, minute, second).expect("valid time")
}
#[derive(Default)]
struct DecisionQuoteReader {
day_count: usize,
}
impl Strategy for DecisionQuoteReader {
fn name(&self) -> &str {
"decision_quote_reader"
}
fn decision_quote_times(&self) -> Vec<NaiveTime> {
vec![t(10, 40, 0)]
}
fn on_day(
&mut self,
ctx: &StrategyContext<'_>,
) -> Result<StrategyDecision, fidc_core::BacktestError> {
self.day_count += 1;
if self.day_count == 1 {
return Ok(StrategyDecision {
order_intents: vec![OrderIntent::Value {
symbol: "000001.SZ".to_string(),
value: 5_000.0,
reason: "seed_position".to_string(),
}],
..StrategyDecision::default()
});
}
assert!(
ctx.portfolio.position("000001.SZ").is_some(),
"second day should carry the first day position"
);
let quote_loaded_before_decision = ctx
.data
.execution_quotes_on(ctx.execution_date, "000001.SZ")
.iter()
.any(|quote| quote.timestamp.time() == t(10, 39, 59) && quote.last_price == 11.0);
assert!(
quote_loaded_before_decision,
"engine must load declared decision quote before strategy.on_day"
);
Ok(StrategyDecision::default())
}
}
#[test]
fn engine_preloads_declared_decision_quotes_for_current_positions() {
let first = d(2026, 1, 5);
let second = d(2026, 1, 6);
let data = DataSet::from_components(
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,
},
],
)
.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 mut engine = BacktestEngine::new(data, DecisionQuoteReader::default(), broker, config)
.with_execution_quote_loader(move |request| {
assert_eq!(
request.end_time, None,
"decision quote preload must request latest quote at or before start_time"
);
Ok(request
.symbols
.into_iter()
.map(|symbol| IntradayExecutionQuote {
date: request.date,
symbol,
timestamp: request.date.and_time(t(10, 39, 59)),
last_price: if request.date == second { 11.0 } else { 10.0 },
bid1: if request.date == second { 11.0 } else { 10.0 },
ask1: if request.date == second { 11.0 } else { 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()),
})
.collect())
});
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)]
struct MultiTimeDecisionQuoteReader {
day_count: usize,
}
impl Strategy for MultiTimeDecisionQuoteReader {
fn name(&self) -> &str {
"multi_time_decision_quote_reader"
}
fn decision_quote_times(&self) -> Vec<NaiveTime> {
vec![t(10, 31, 0), t(10, 40, 0)]
}
fn on_day(
&mut self,
ctx: &StrategyContext<'_>,
) -> Result<StrategyDecision, fidc_core::BacktestError> {
self.day_count += 1;
if self.day_count == 1 {
return Ok(StrategyDecision {
order_intents: vec![OrderIntent::Value {
symbol: "000001.SZ".to_string(),
value: 5_000.0,
reason: "seed_position".to_string(),
}],
..StrategyDecision::default()
});
}
let quote_times = ctx
.data
.execution_quotes_on(ctx.execution_date, "000001.SZ")
.iter()
.map(|quote| quote.timestamp.time())
.collect::<Vec<_>>();
assert!(
quote_times.contains(&t(10, 30, 59)),
"10:31 decision quote must be loaded"
);
assert!(
quote_times.contains(&t(10, 39, 59)),
"10:40 decision quote must not be skipped because 10:31 was loaded"
);
Ok(StrategyDecision::default())
}
}
#[test]
fn engine_loads_distinct_decision_quote_times_on_same_day() {
let first = d(2026, 1, 5);
let second = d(2026, 1, 6);
let data = DataSet::from_components(
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,
},
],
)
.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 requests = Arc::new(Mutex::new(Vec::<(NaiveDate, NaiveTime)>::new()));
let captured_requests = Arc::clone(&requests);
let mut engine = BacktestEngine::new(
data,
MultiTimeDecisionQuoteReader::default(),
broker,
config,
)
.with_execution_quote_loader(move |request| {
let start_time = request
.start_time
.expect("decision quote loader request must include start_time");
captured_requests
.lock()
.expect("request mutex")
.push((request.date, start_time));
Ok(request
.symbols
.into_iter()
.map(|symbol| IntradayExecutionQuote {
date: request.date,
symbol,
timestamp: request.date.and_time(start_time) - Duration::seconds(1),
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()),
})
.collect())
});
engine.run().expect("backtest should run");
let requests = requests.lock().expect("request mutex").clone();
assert!(
requests.contains(&(second, t(10, 31, 0))),
"second-day 10:31 quote request is required"
);
assert!(
requests.contains(&(second, t(10, 40, 0))),
"second-day 10:40 quote request must not be skipped by earlier quote"
);
}
+6
View File
@@ -180,6 +180,7 @@ fn engine_settles_delisted_position_before_missing_market_snapshot_breaks_run()
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: date1,
@@ -191,6 +192,7 @@ fn engine_settles_delisted_position_before_missing_market_snapshot_breaks_run()
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: date2,
@@ -202,6 +204,7 @@ fn engine_settles_delisted_position_before_missing_market_snapshot_breaks_run()
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
],
vec![
@@ -400,6 +403,7 @@ fn engine_applies_successor_conversion_before_delisted_cash_settlement() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: date1,
@@ -411,6 +415,7 @@ fn engine_applies_successor_conversion_before_delisted_cash_settlement() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: date2,
@@ -422,6 +427,7 @@ fn engine_applies_successor_conversion_before_delisted_cash_settlement() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
],
vec![
+22
View File
@@ -87,6 +87,7 @@ fn single_day_anchor_data(date: NaiveDate) -> DataSet {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -154,6 +155,7 @@ fn candidate_row(date: NaiveDate, symbol: &str) -> CandidateEligibility {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}
}
@@ -1116,6 +1118,7 @@ fn engine_runs_strategy_hooks_in_daily_order() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: date2,
@@ -1127,6 +1130,7 @@ fn engine_runs_strategy_hooks_in_daily_order() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
],
vec![
@@ -1273,6 +1277,7 @@ fn engine_executes_open_auction_decisions_before_on_day() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -1371,6 +1376,7 @@ fn engine_executes_futures_order_intents_against_future_account() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -1960,6 +1966,7 @@ fn engine_runs_subscribed_tick_hooks_and_executes_tick_orders() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -2143,6 +2150,7 @@ fn strategy_context_exposes_engine_native_data_helpers() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
})
.collect::<Vec<_>>();
let benchmarks = [
@@ -2302,6 +2310,7 @@ fn strategy_context_exposes_final_order_runtime_view() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -2555,6 +2564,7 @@ fn engine_applies_account_cash_flow_and_financing_intents() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: date2,
@@ -2566,6 +2576,7 @@ fn engine_applies_account_cash_flow_and_financing_intents() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
],
vec![
@@ -2737,6 +2748,7 @@ fn engine_rejects_pending_limit_orders_at_market_close() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: date2,
@@ -2748,6 +2760,7 @@ fn engine_rejects_pending_limit_orders_at_market_close() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
],
vec![
@@ -2938,6 +2951,7 @@ fn engine_runs_scheduled_rules_for_daily_weekly_and_monthly_triggers() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: date2,
@@ -2949,6 +2963,7 @@ fn engine_runs_scheduled_rules_for_daily_weekly_and_monthly_triggers() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: date3,
@@ -2960,6 +2975,7 @@ fn engine_runs_scheduled_rules_for_daily_weekly_and_monthly_triggers() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
],
vec![
@@ -3184,6 +3200,7 @@ fn engine_dispatches_process_events_to_external_bus_listeners() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: date2,
@@ -3195,6 +3212,7 @@ fn engine_dispatches_process_events_to_external_bus_listeners() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: date3,
@@ -3206,6 +3224,7 @@ fn engine_dispatches_process_events_to_external_bus_listeners() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
],
vec![
@@ -3538,6 +3557,7 @@ fn engine_applies_dynamic_universe_and_subscription_directives() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: *date,
@@ -3549,6 +3569,7 @@ fn engine_applies_dynamic_universe_and_subscription_directives() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
]
})
@@ -3671,6 +3692,7 @@ fn engine_exposes_current_process_context_to_strategies() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -61,6 +61,7 @@ fn order_value_rounding_data(date: NaiveDate, symbol: &str, price: f64) -> DataS
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -165,6 +166,7 @@ fn broker_executes_explicit_order_value_buy() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -314,6 +316,7 @@ fn broker_delayed_limit_open_sell_uses_tick_price() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -445,6 +448,7 @@ fn broker_executes_order_shares_and_order_lots() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -570,6 +574,7 @@ fn broker_executes_target_shares_like_order_to() {
allow_buy: true,
allow_sell: true,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -726,6 +731,7 @@ fn broker_executes_target_portfolio_smart_with_custom_prices() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date,
@@ -737,6 +743,7 @@ fn broker_executes_target_portfolio_smart_with_custom_prices() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
],
vec![BenchmarkSnapshot {
@@ -867,6 +874,7 @@ fn broker_executes_target_portfolio_smart_with_algo_order_style() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -1007,6 +1015,7 @@ fn broker_executes_order_percent_and_target_percent() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -1127,6 +1136,7 @@ fn broker_uses_day_open_price_for_open_auction_matching() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -1230,6 +1240,7 @@ fn broker_open_auction_uses_auction_volume_without_quote_liquidity() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -1330,6 +1341,7 @@ fn broker_cancels_buy_when_open_hits_upper_limit() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -1442,6 +1454,7 @@ fn broker_applies_price_ratio_slippage_on_snapshot_fills() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -1541,6 +1554,7 @@ fn broker_applies_dynamic_slippage_on_snapshot_fills() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -1645,6 +1659,7 @@ fn broker_applies_tick_size_slippage_on_intraday_last_fills() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -1701,6 +1716,9 @@ fn broker_applies_tick_size_slippage_on_intraday_last_fills() {
assert_eq!(report.fill_events.len(), 1);
assert!((report.fill_events[0].price - 10.02).abs() < 1e-9);
let position = portfolio.position("000002.SZ").expect("position");
assert!((position.last_price - 10.0).abs() < 1e-9);
assert!((position.market_value() - position.quantity as f64 * 10.0).abs() < 1e-6);
}
#[test]
@@ -1759,6 +1777,7 @@ fn broker_rejects_intraday_last_order_without_execution_quotes() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -1865,6 +1884,7 @@ fn broker_executes_intraday_last_on_start_quote_without_trade_delta() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -1980,6 +2000,7 @@ fn broker_cancels_market_order_remainder_when_intraday_quote_liquidity_exhausted
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -2107,6 +2128,7 @@ fn broker_cancels_market_buy_when_tick_has_no_volume() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -2210,6 +2232,7 @@ fn broker_splits_intraday_quote_fills_and_tracks_commission_by_order() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -2370,6 +2393,7 @@ fn broker_aggregates_intraday_quote_fills_into_vwap_leg() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -2514,6 +2538,7 @@ fn broker_executes_algo_vwap_value_with_time_window() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -2671,6 +2696,7 @@ fn broker_executes_algo_twap_percent_across_window_quotes() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -2830,6 +2856,7 @@ fn broker_uses_best_own_price_for_intraday_matching() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -2944,6 +2971,7 @@ fn broker_uses_best_counterparty_price_for_intraday_matching() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -3108,6 +3136,7 @@ fn rebalance_optimizer_skips_unfunded_buy_when_existing_position_cannot_sell() {
allow_sell: false,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date,
@@ -3119,6 +3148,7 @@ fn rebalance_optimizer_skips_unfunded_buy_when_existing_position_cannot_sell() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
],
vec![BenchmarkSnapshot {
@@ -3295,6 +3325,7 @@ fn rebalance_uses_prev_close_for_open_auction_valuation() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date,
@@ -3306,6 +3337,7 @@ fn rebalance_uses_prev_close_for_open_auction_valuation() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
],
vec![BenchmarkSnapshot {
@@ -3476,6 +3508,7 @@ fn rebalance_optimizer_prioritizes_higher_target_weight_when_cash_is_tight() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date,
@@ -3487,6 +3520,7 @@ fn rebalance_optimizer_prioritizes_higher_target_weight_when_cash_is_tight() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
],
vec![BenchmarkSnapshot {
@@ -3612,6 +3646,7 @@ fn broker_uses_board_specific_min_quantity_and_step_size_for_buy_sizing() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -3710,6 +3745,7 @@ fn broker_allows_bjse_quantities_above_minimum_without_round_lot_step() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -3810,6 +3846,7 @@ fn broker_allows_full_odd_lot_sell_when_liquidating_position() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,
@@ -3924,6 +3961,7 @@ fn same_day_sell_then_rebuy_reinserts_position_at_end() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
})
.collect::<Vec<_>>();
let data = DataSet::from_components(
@@ -4091,6 +4129,7 @@ fn two_day_limit_order_data(day1_open: f64, day2_open: f64) -> DataSet {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
CandidateEligibility {
date: day2,
@@ -4102,6 +4141,7 @@ fn two_day_limit_order_data(day1_open: f64, day2_open: f64) -> DataSet {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
},
],
vec![
@@ -4234,6 +4274,50 @@ fn broker_uses_limit_price_slippage_for_limit_orders() {
assert!((report.fill_events[0].price - 10.1).abs() < 1e-9);
}
#[test]
fn broker_rejects_limit_buy_when_final_execution_price_reaches_upper_limit() {
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();
let data = two_day_limit_order_data(10.0, 10.2);
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks::default(),
PriceField::Open,
)
.with_slippage_model(SlippageModel::LimitPrice);
let mut portfolio = PortfolioState::new(1_000_000.0);
let report = broker
.execute(
date,
&mut portfolio,
&data,
&StrategyDecision {
rebalance: false,
target_weights: BTreeMap::new(),
exit_symbols: BTreeSet::new(),
order_intents: vec![OrderIntent::LimitShares {
symbol: "000002.SZ".to_string(),
quantity: 200,
limit_price: 11.0,
reason: "limit_entry_at_upper_limit".to_string(),
}],
notes: Vec::new(),
diagnostics: Vec::new(),
},
)
.expect("broker execution");
assert!(report.fill_events.is_empty());
assert_eq!(report.order_events.len(), 1);
assert_eq!(report.order_events[0].status, OrderStatus::Canceled);
assert!(
report.order_events[0]
.reason
.contains("open at or above upper limit")
);
assert!(portfolio.position("000002.SZ").is_none());
}
#[test]
fn broker_executes_limit_value_and_limit_percent_intents() {
let date = NaiveDate::from_ymd_opt(2024, 1, 10).unwrap();
@@ -4455,6 +4539,7 @@ fn broker_reserves_sellable_quantity_for_open_limit_sells() {
allow_sell: true,
is_kcb: false,
is_one_yuan: false,
risk_level_code: None,
}],
vec![BenchmarkSnapshot {
date,