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9 changed files with 553 additions and 37 deletions
+6
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@@ -3375,6 +3375,12 @@ impl DataSet {
.unwrap_or(&[])
}
pub fn is_reference_only_benchmark(&self, symbol: &str) -> bool {
if symbol != self.benchmark_code() { return false; }
let Some(symbol_id) = self.symbol_id(symbol) else { return true; };
!self.candidate_symbol_ids_by_date.values().any(|ids| ids.contains(&symbol_id))
}
pub fn bundle_on(&self, date: NaiveDate) -> Result<DailySnapshotBundle, DataSetError> {
let benchmark = self
.benchmark(date)
+7 -3
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@@ -474,7 +474,9 @@ pub struct BacktestEngine<S, C, R> {
}
fn all_instruments_have_dated_absence(data: &DataSet, date: NaiveDate) -> bool {
!data.instruments().is_empty() && data.instruments().values().all(|instrument| instrument.dated_market_absence_reason(date).is_some())
let mut instruments = data.instruments().values()
.filter(|instrument| !data.is_reference_only_benchmark(&instrument.symbol)).peekable();
instruments.peek().is_some() && instruments.all(|instrument| instrument.dated_market_absence_reason(date).is_some())
}
fn backtest_execution_schedule(
@@ -5580,9 +5582,11 @@ mod tests {
let dates = [d(2025, 1, 2), d(2025, 1, 3), d(2025, 1, 6)];
let mut engine = engine_with_matching(MatchingType::CurrentBarClose, PriceField::Close, 0);
engine.config.end_date = Some(dates[2]);
let mut markets = vec![market(dates[2], 10.0, 10.0)];
markets.extend(dates.iter().map(|date| DailyMarketSnapshot { symbol: "000852.SH".into(), ..market(*date, 1000.0, 1000.0) }));
engine.data = DataSet::from_components(
vec![Instrument { listed_at: Some(dates[2]), ..default_instrument() }],
vec![market(dates[2], 10.0, 10.0)], vec![factor(dates[2])], vec![candidate(dates[2])],
vec![Instrument { listed_at: Some(dates[2]), ..default_instrument() }, Instrument { symbol: "000852.SH".into(), listed_at: None, ..default_instrument() }],
markets, vec![factor(dates[2])], vec![candidate(dates[2])],
dates.iter().map(|date| benchmark(*date)).collect(),
).unwrap();
assert_eq!(super::backtest_execution_dates(&engine.data, Some(dates[0]), Some(dates[2]), 0), dates);
+1
View File
@@ -25,6 +25,7 @@ pub mod risk_control;
pub mod rules;
pub mod scheduler;
pub mod strategy;
pub mod signal_contract;
pub mod strategy_ai;
pub mod universe;
+64 -29
View File
@@ -525,6 +525,7 @@ pub enum PlatformAccountActionKind {
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum PlatformTradeAction {
ConsumeSignal,
Order {
kind: PlatformExplicitOrderKind,
symbol: String,
@@ -607,6 +608,7 @@ pub struct PlatformPositionTargetRule {
#[derive(Debug, Clone)]
pub struct PlatformExprStrategyConfig {
pub signal_book: Option<Arc<crate::signal_contract::ValidatedSignalBook>>,
pub strategy_name: String,
pub market: String,
pub benchmark_symbol: String,
@@ -689,6 +691,7 @@ pub struct PlatformExprStrategyConfig {
impl PlatformExprStrategyConfig {
pub fn generic() -> Self {
Self {
signal_book: None,
strategy_name: "platform-expression".to_string(),
market: "CN_A".to_string(),
benchmark_symbol: String::new(),
@@ -1913,6 +1916,7 @@ impl PlatformExprStrategy {
}
for (index, action) in self.config.explicit_actions.iter().enumerate() {
match action {
PlatformTradeAction::ConsumeSignal => {}
PlatformTradeAction::Order {
amount_expr,
limit_price_expr,
@@ -3853,16 +3857,9 @@ impl PlatformExprStrategy {
{
continue;
}
if !defer_execution_risk
&& self
.buy_rejection_reason(
ctx,
execution_date,
symbol,
self.stock_state(ctx, execution_date, symbol)?.as_ref(),
)?
.is_some()
{
if !defer_execution_risk && self.buy_rejection_reason(
ctx, execution_date, symbol, self.stock_state(ctx, execution_date, symbol)?.as_ref(),
)?.is_some() {
continue;
}
let decision_stock = self.stock_state_with_factor_date(
@@ -9118,7 +9115,10 @@ impl PlatformExprStrategy {
self.stock_state(ctx, date, symbol).map(Some)
}
fn unscheduled_explicit_actions_are_due(&self, decision_date: NaiveDate) -> bool {
fn unscheduled_explicit_actions_are_due(&self, decision_date: NaiveDate, execution_date: NaiveDate) -> bool {
if let Some(book) = &self.config.signal_book {
return book.is_due_on(execution_date);
}
self.config.signal_rebalance_dates.is_empty()
|| self.config.signal_rebalance_dates.contains(&decision_date)
}
@@ -9146,6 +9146,12 @@ impl PlatformExprStrategy {
let mut diagnostics = Vec::new();
for action in &self.config.explicit_actions {
match action {
PlatformTradeAction::ConsumeSignal => {
let book = self.config.signal_book.as_ref().ok_or_else(||
BacktestError::Execution("signal_book_not_loaded".into()))?;
intents.extend(book.intents(ctx).map_err(BacktestError::Execution)?);
diagnostics.push(format!("signal_book_consumed version={} decision_date={}", book.version_sha256(), ctx.decision_date));
}
PlatformTradeAction::Order {
kind,
symbol,
@@ -11392,6 +11398,7 @@ impl PlatformExprStrategy {
matches!(
action,
PlatformTradeAction::Order { .. }
| PlatformTradeAction::ConsumeSignal
| PlatformTradeAction::TargetPortfolioSmart { .. }
| PlatformTradeAction::Modify { .. }
)
@@ -12403,7 +12410,7 @@ impl Strategy for PlatformExprStrategy {
if self.config.explicit_action_stage == PlatformExplicitActionStage::OpenAuction
&& !self.config.explicit_actions.is_empty()
&& self.config.explicit_action_schedule.is_none()
&& self.unscheduled_explicit_actions_are_due(ctx.decision_date)
&& self.unscheduled_explicit_actions_are_due(ctx.decision_date, ctx.execution_date)
{
let mut decision = self.explicit_action_decision(ctx)?;
self.attach_buy_denials(ctx, &mut decision)?;
@@ -12423,13 +12430,16 @@ impl Strategy for PlatformExprStrategy {
impl PlatformExprStrategy {
fn attach_buy_denials(&self, ctx: &StrategyContext<'_>, decision: &mut StrategyDecision) -> Result<(), BacktestError> {
if self.config.buy_filter_expr.trim().is_empty() {
return Ok(());
}
let symbols = decision.potential_buy_symbols(ctx.open_orders);
if symbols.is_empty() {
return Ok(());
}
if let Some(book) = &self.config.signal_book {
decision.buy_denials.extend(book.buy_denials(ctx).map_err(BacktestError::Execution)?);
}
if self.config.buy_filter_expr.trim().is_empty() {
return Ok(());
}
let day = self.day_state(ctx, ctx.decision_date)?;
let (market_date, _, factor_date) = self.selection_dates(ctx);
let execution_time = ctx.active_datetime.filter(|value| value.date() == market_date)
@@ -12541,7 +12551,7 @@ impl PlatformExprStrategy {
let (explicit_action_intents, mut explicit_action_diagnostics) = if !in_skip_window
&& self.config.explicit_action_stage == PlatformExplicitActionStage::OnDay
&& self.config.explicit_action_schedule.is_none()
&& self.unscheduled_explicit_actions_are_due(decision_date)
&& self.unscheduled_explicit_actions_are_due(decision_date, execution_date)
{
self.explicit_action_intents(ctx, decision_date, &day)?
} else {
@@ -14013,16 +14023,10 @@ impl PlatformExprStrategy {
if target_value <= 0.0 {
continue;
}
if !defer_execution_risk
&& self
.buy_rejection_reason(
ctx,
execution_date,
symbol,
self.stock_state(ctx, execution_date, symbol)?.as_ref(),
)?
.is_some()
{
if !defer_execution_risk && let Some(reason) = self.buy_rejection_reason(
ctx, execution_date, symbol, self.stock_state(ctx, execution_date, symbol)?.as_ref(),
)? {
risk_decisions.push(FidcRiskDecisionAudit::rejected_buy_plan(execution_date, symbol, &reason));
continue;
}
if !self.stock_passes_expr(ctx, &day, &decision_stock)? {
@@ -14299,6 +14303,37 @@ mod tests {
assert_eq!(strategy.selection_quote_usage, StockFilterQuoteUsage::DailyOnly);
}
#[test]
fn periodic_selected_bjse_buy_rejection_is_audited_without_creating_an_order() {
let dates = [d(2026, 8, 5), d(2026, 8, 6)];
let symbol = "920038.BJ";
let data = single_symbol_platform_data(&dates, symbol);
let portfolio = PortfolioState::new(100_000.0);
let subscriptions = BTreeSet::new();
let ctx = StrategyContext {
execution_date: dates[1], decision_date: dates[1], decision_index: 1, data: &data,
portfolio: &portfolio, futures_account: None, open_orders: &[], dynamic_universe: None,
subscriptions: &subscriptions, process_events: &[], active_process_event: None,
active_datetime: None, order_events: &[], fills: &[],
};
let mut cfg = PlatformExprStrategyConfig::generic();
cfg.signal_symbol = symbol.into();
cfg.stock_filter_expr = "close > 0".into();
cfg.hold_until_exit_enabled = true;
cfg.target_portfolio_daily_enabled = true;
cfg.daily_top_up_enabled = true;
cfg.daily_position_target_adjust_enabled = true;
cfg.rebalance_existing_positions = true;
cfg.risk_config.static_rules.reject_bjse_selection = false;
cfg.risk_config.static_rules.reject_bjse_buy = true;
let decision = PlatformExprStrategy::new(cfg.clone()).on_day(&ctx).unwrap();
assert!(decision.order_intents.is_empty());
assert!(decision.risk_decisions.iter().any(|audit| audit.symbol == symbol && audit.stage == "buy_planning" && audit.rule_code == "bjse" && !audit.accepted));
cfg.risk_config.static_rules.reject_bjse_buy = false;
let allowed = PlatformExprStrategy::new(cfg).on_day(&ctx).unwrap();
assert!(!allowed.order_intents.is_empty());
}
#[test]
fn daily_pattern_runtime_uses_the_shared_kernel_and_rejects_early_visibility() {
let dates=(0..21).map(|n|d(2025,1,1)+chrono::Duration::days(n)).collect::<Vec<_>>();
@@ -25508,9 +25543,9 @@ mod tests {
}];
let mut strategy = PlatformExprStrategy::new(config);
assert!(strategy.unscheduled_explicit_actions_are_due(first));
assert!(!strategy.unscheduled_explicit_actions_are_due(between));
assert!(strategy.unscheduled_explicit_actions_are_due(second));
assert!(strategy.unscheduled_explicit_actions_are_due(first, first));
assert!(!strategy.unscheduled_explicit_actions_are_due(between, between));
assert!(strategy.unscheduled_explicit_actions_are_due(second, second));
let mut decide = |date, decision_index| {
let ctx = StrategyContext {
@@ -17,6 +17,8 @@ use crate::{
#[derive(Debug, Clone, Default, Deserialize, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct StrategyRuntimeSpec {
#[serde(default)]
pub signal_book: Option<crate::signal_contract::SignalBook>,
#[serde(default, alias = "strategy_id")]
pub strategy_id: Option<String>,
#[serde(default)]
@@ -2599,6 +2601,22 @@ pub fn platform_expr_config_from_spec(
}
cfg.strict_value_budget = true;
if let Some(raw) = &spec.signal_book {
let book = raw.clone().validate()?;
if cfg.explicit_actions.len() != 1 || !matches!(cfg.explicit_actions[0], PlatformTradeAction::ConsumeSignal) {
return Err("signal_book_requires_one_consume_signal_action".into());
}
if !cfg.signal_rebalance_dates.is_empty() && cfg.signal_rebalance_dates != book.decision_dates() {
return Err("signal_book_schedule_does_not_match_strategy".into());
}
cfg.rotation_enabled = false;
cfg.signal_rebalance_dates = book.decision_dates();
cfg.initial_subscriptions.extend(book.symbols());
cfg.signal_book = Some(std::sync::Arc::new(book));
} else if cfg.explicit_actions.iter().any(|action| matches!(action, PlatformTradeAction::ConsumeSignal)) {
return Err("consume_signal_requires_verified_signal_book".into());
}
Ok(cfg)
}
@@ -2751,6 +2769,7 @@ fn parse_platform_trade_action(
None => None,
};
match kind.as_str() {
"consume_signal" if when_expr.is_none() && time_in_force.is_none() => Some(PlatformTradeAction::ConsumeSignal),
"target_portfolio_smart" => Some(PlatformTradeAction::TargetPortfolioSmart {
target_weights_expr: action
.target_weights_expr
+10
View File
@@ -138,6 +138,16 @@ pub struct FidcRiskDecisionAudit {
}
impl FidcRiskDecisionAudit {
pub fn rejected_buy_plan(date: NaiveDate, symbol: &str, reason: &str) -> Self {
Self {
date, symbol: symbol.into(), scope: RiskCheckScope::Buy,
stage: "buy_planning".into(), accepted: false,
rule_code: reason.into(), reason: reason.into(),
config_version: Some("inline_risk_policy".into()), data_epoch: date.to_string(),
selection_batch_id: None, order_id: None,
}
}
pub fn rejected_selection(
date: NaiveDate,
symbol: impl Into<String>,
+423
View File
@@ -0,0 +1,423 @@
//! Immutable, account-independent trading signals. Quantity and execution
//! prices are intentionally absent; the existing broker owns those decisions.
use std::collections::{BTreeMap, BTreeSet};
use chrono::{DateTime, FixedOffset, NaiveDate, NaiveDateTime, NaiveTime, Utc};
use serde::{Deserialize, Serialize};
use sha2::{Digest, Sha256};
use crate::strategy::{OrderIntent, StrategyContext};
use crate::portfolio::PortfolioState;
pub const SIGNAL_BOOK_SCHEMA: &str = "fidc.signal-book/v1";
#[derive(Debug, Clone, Copy, PartialEq, Eq, Deserialize, Serialize)]
#[serde(rename_all = "snake_case")]
pub enum SignalProvenance {
Observed,
Reconstructed,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq, Deserialize, Serialize)]
#[serde(rename_all = "snake_case")]
pub enum SignalFrequency {
Daily,
Minute,
}
#[derive(Debug, Clone, Deserialize, Serialize)]
#[serde(tag = "kind", rename_all = "snake_case", deny_unknown_fields)]
pub enum SignalAction {
TargetWeight { symbol: String, weight: f64 },
BuyCondition { symbol: String, allowed: bool },
Exit { symbol: String },
Reduce { symbol: String, remaining_ratio: f64 },
}
impl SignalAction {
fn symbol(&self) -> &str {
match self {
Self::TargetWeight { symbol, .. }
| Self::BuyCondition { symbol, .. }
| Self::Exit { symbol }
| Self::Reduce { symbol, .. } => symbol,
}
}
}
#[derive(Debug, Clone, Deserialize, Serialize)]
#[serde(rename_all = "camelCase", deny_unknown_fields)]
pub struct SignalSnapshot {
pub decision_at: DateTime<Utc>,
pub input_as_of: DateTime<Utc>,
pub input_available_at: DateTime<Utc>,
pub generated_at: DateTime<Utc>,
pub published_at: DateTime<Utc>,
pub input_sha256: String,
pub complete_targets: bool,
pub actions: Vec<SignalAction>,
}
#[derive(Debug, Clone, Deserialize, Serialize)]
#[serde(rename_all = "camelCase", deny_unknown_fields)]
pub struct SignalBook {
pub schema: String,
pub version_sha256: String,
pub generator_sha256: String,
pub knowledge_cutoff: DateTime<Utc>,
pub provenance: SignalProvenance,
pub frequency: SignalFrequency,
pub expected_decisions: Vec<DateTime<Utc>>,
pub snapshots: Vec<SignalSnapshot>,
}
#[derive(Debug, Clone)]
pub struct ValidatedSignalBook {
book: SignalBook,
index: BTreeMap<NaiveDateTime, usize>,
}
fn valid_sha(value: &str) -> bool {
value.len() == 64 && value.bytes().all(|byte| byte.is_ascii_digit() || (b'a'..=b'f').contains(&byte))
}
fn shanghai(value: DateTime<Utc>) -> NaiveDateTime {
value.with_timezone(&FixedOffset::east_opt(8 * 3600).expect("Shanghai offset")).naive_local()
}
impl SignalBook {
pub fn content_sha256(&self) -> Result<String, String> {
let mut value=serde_json::to_value(self).map_err(|error|error.to_string())?;
value.as_object_mut().ok_or("signal_book_object_required")?.remove("versionSha256");
let raw=serde_json::to_vec(&value).map_err(|error|error.to_string())?;
Ok(format!("{:x}",Sha256::digest(raw)))
}
pub fn validate(self) -> Result<ValidatedSignalBook, String> {
if self.schema != SIGNAL_BOOK_SCHEMA || !valid_sha(&self.version_sha256)
|| !valid_sha(&self.generator_sha256)
{
return Err("signal_book_identity_invalid".into());
}
if self.expected_decisions.is_empty() || self.expected_decisions.len() > 100_000
|| self.expected_decisions.len() != self.snapshots.len()
{
return Err("signal_book_decision_coverage_incomplete".into());
}
let mut index = BTreeMap::new();
let mut previous = None;
let mut total_actions = 0usize;
for (number, (expected, snapshot)) in self.expected_decisions.iter().zip(&self.snapshots).enumerate() {
if snapshot.decision_at != *expected || previous.is_some_and(|value| value >= *expected) {
return Err("signal_book_decisions_duplicate_or_unordered".into());
}
previous = Some(*expected);
if self.knowledge_cutoff >= *expected || snapshot.input_as_of > *expected
|| snapshot.input_available_at > *expected || snapshot.input_as_of > snapshot.input_available_at
|| snapshot.published_at < snapshot.generated_at || !valid_sha(&snapshot.input_sha256)
|| snapshot.generated_at < snapshot.input_available_at
|| snapshot.generated_at < self.knowledge_cutoff
{
return Err("signal_book_future_or_invalid_input".into());
}
if self.provenance == SignalProvenance::Observed && snapshot.published_at > *expected {
return Err("observed_signal_not_available_at_decision".into());
}
total_actions = total_actions.checked_add(snapshot.actions.len()).ok_or("signal_book_action_limit")?;
if total_actions > 2_000_000 { return Err("signal_book_action_limit".into()); }
let mut action_keys = BTreeSet::new();
let mut target_symbols = BTreeSet::new();
let mut reductions = BTreeSet::new();
let mut total_weight = 0.0;
for action in &snapshot.actions {
let symbol = action.symbol();
if symbol.is_empty() || symbol.trim() != symbol { return Err("signal_symbol_invalid".into()); }
let kind = match action {
SignalAction::TargetWeight { weight, .. } => {
if !weight.is_finite() || !(0.0..=1.0).contains(weight) { return Err("signal_target_weight_invalid".into()); }
target_symbols.insert(symbol);
total_weight += weight;
"target"
}
SignalAction::BuyCondition { .. } => "buy_condition",
SignalAction::Exit { .. } => { reductions.insert(symbol); "exit" }
SignalAction::Reduce { remaining_ratio, .. } => {
if !remaining_ratio.is_finite() || !(0.0..1.0).contains(remaining_ratio) { return Err("signal_reduction_invalid".into()); }
reductions.insert(symbol);
"reduce"
}
};
if !action_keys.insert((symbol, kind)) { return Err("signal_action_duplicate".into()); }
}
if total_weight > 1.0 + 1e-12 { return Err("signal_target_exposure_exceeds_one".into()); }
if snapshot.complete_targets && !reductions.is_empty() {
return Err("complete_target_snapshot_cannot_mix_relative_exits".into());
}
if !target_symbols.is_disjoint(&reductions) { return Err("signal_target_exit_conflict".into()); }
for symbol in &reductions {
if action_keys.contains(&(*symbol, "exit")) && action_keys.contains(&(*symbol, "reduce")) {
return Err("signal_exit_reduction_conflict".into());
}
}
index.insert(shanghai(*expected), number);
}
if self.content_sha256()? != self.version_sha256 {
return Err("signal_book_content_hash_mismatch".into());
}
Ok(ValidatedSignalBook { book: self, index })
}
}
impl ValidatedSignalBook {
pub fn require_observed(&self) -> Result<(), String> {
if self.book.provenance != SignalProvenance::Observed {
return Err("reconstructed_signal_forbidden_in_online_execution".into());
}
Ok(())
}
pub fn version_sha256(&self) -> &str { &self.book.version_sha256 }
pub fn decision_dates(&self) -> BTreeSet<NaiveDate> {
self.index.keys().map(|value| value.date()).collect()
}
pub fn symbols(&self) -> BTreeSet<String> {
self.book.snapshots.iter().flat_map(|snapshot| &snapshot.actions)
.map(|action| action.symbol().to_owned()).collect()
}
pub fn snapshot_for(&self, ctx: &StrategyContext<'_>) -> Result<&SignalSnapshot, String> {
let snapshot = self.snapshot_at(ctx.execution_date, ctx.current_time(), ctx.is_lagged_execution())?;
if ctx.is_lagged_execution() && shanghai(snapshot.input_as_of).date() > ctx.decision_date {
return Err("next_open_signal_contains_execution_session_inputs".into());
}
Ok(snapshot)
}
pub fn is_due_on(&self, execution_date: NaiveDate) -> bool {
self.index.range(execution_date.and_hms_opt(0,0,0).expect("session start")..)
.next().is_some_and(|(at,_)|at.date()==execution_date)
}
fn snapshot_at(&self, execution_date: NaiveDate, current_time: Option<NaiveTime>, lagged: bool) -> Result<&SignalSnapshot, String> {
let at = if self.book.frequency == SignalFrequency::Daily && lagged {
execution_date.and_hms_opt(9, 30, 0).expect("next open")
} else {
execution_date.and_time(current_time.unwrap_or(NaiveTime::from_hms_opt(15, 0, 0).expect("daily close")))
};
self.index.get(&at).map(|index| &self.book.snapshots[*index])
.ok_or_else(|| format!("signal_snapshot_missing_at_decision: {at}"))
}
pub fn intents(&self, ctx: &StrategyContext<'_>) -> Result<Vec<OrderIntent>, String> {
let snapshot = self.snapshot_for(ctx)?;
self.snapshot_intents(snapshot, ctx.portfolio)
}
fn snapshot_intents(&self, snapshot: &SignalSnapshot, portfolio: &PortfolioState) -> Result<Vec<OrderIntent>, String> {
let reason = format!("信号执行 version={} decision={}", self.book.version_sha256, snapshot.decision_at);
let mut intents = Vec::new();
let mut weights = BTreeMap::new();
for action in &snapshot.actions {
match action {
SignalAction::TargetWeight { symbol, weight } if snapshot.complete_targets => {
weights.insert(symbol.clone(), *weight);
}
SignalAction::TargetWeight { symbol, weight } => intents.push(OrderIntent::TargetPercent {
symbol: symbol.clone(), target_percent: *weight, reason: reason.clone(),
}),
SignalAction::Exit { symbol } => intents.push(OrderIntent::TargetPercent {
symbol: symbol.clone(), target_percent: 0.0, reason: reason.clone(),
}),
SignalAction::Reduce { symbol, remaining_ratio } => {
if let Some(position) = portfolio.position(symbol).filter(|position| position.quantity > 0) {
let quantity = (f64::from(position.quantity) * remaining_ratio).floor() as u32;
let target_quantity = i32::try_from(quantity).map_err(|_| "signal_reduction_quantity_overflow")?;
intents.push(OrderIntent::TargetShares { symbol: symbol.clone(), target_quantity, reason: reason.clone() });
}
}
SignalAction::BuyCondition { .. } => {}
}
}
if snapshot.complete_targets {
if weights.is_empty() {
for position in portfolio.positions().values().filter(|position| position.quantity > 0) {
intents.push(OrderIntent::TargetPercent { symbol: position.symbol.clone(), target_percent: 0.0, reason: reason.clone() });
}
} else {
intents.push(OrderIntent::TargetPortfolioSmart { target_weights: weights,
order_prices: None, valuation_prices: None, reason });
}
}
Ok(intents)
}
pub fn buy_denials(&self, ctx: &StrategyContext<'_>) -> Result<BTreeMap<String, String>, String> {
Ok(self.snapshot_for(ctx)?.actions.iter().filter_map(|action| match action {
SignalAction::BuyCondition { symbol, allowed: false } => Some((symbol.clone(), "信号买入条件未满足".into())),
_ => None,
}).collect())
}
}
#[cfg(test)]
mod tests {
use super::*;
use chrono::Duration;
use serde_json::json;
fn book() -> SignalBook {
let decision: DateTime<Utc> = "2025-01-07T09:30:00+08:00".parse().unwrap();
let source: DateTime<Utc> = "2025-01-06T15:00:00+08:00".parse().unwrap();
seal(SignalBook {
schema: SIGNAL_BOOK_SCHEMA.into(), version_sha256: "a".repeat(64), generator_sha256: "b".repeat(64),
knowledge_cutoff: "2024-12-31T15:00:00+08:00".parse().unwrap(),
provenance: SignalProvenance::Reconstructed, frequency: SignalFrequency::Daily,
expected_decisions: vec![decision], snapshots: vec![SignalSnapshot {
decision_at: decision, input_as_of: source, input_available_at: source,
generated_at: decision + Duration::days(10), published_at: decision + Duration::days(10),
input_sha256: "c".repeat(64), complete_targets: true,
actions: vec![SignalAction::TargetWeight { symbol: "000001.SZ".into(), weight: 0.5 }],
}],
})
}
fn seal(mut book:SignalBook)->SignalBook {
book.version_sha256=book.content_sha256().unwrap();
book
}
#[test]
fn historical_reconstruction_is_not_online_publication() {
let validated = book().validate().unwrap();
assert!(validated.require_observed().unwrap_err().contains("reconstructed"));
let mut observed = book();
observed.provenance = SignalProvenance::Observed;
assert!(observed.clone().validate().unwrap_err().contains("not_available"));
observed.snapshots[0].generated_at = observed.snapshots[0].decision_at;
observed.snapshots[0].published_at = observed.snapshots[0].decision_at;
seal(observed).validate().unwrap().require_observed().unwrap();
}
#[test]
fn rejects_future_inputs_and_model_knowledge() {
for field in 0..3 {
let mut value = book();
let future = value.snapshots[0].decision_at + Duration::seconds(1);
match field {
0 => value.snapshots[0].input_as_of = future,
1 => value.snapshots[0].input_available_at = future,
_ => value.knowledge_cutoff = future,
}
assert!(value.validate().unwrap_err().contains("future"));
}
}
#[test]
fn rejects_quantities_prices_and_unknown_signal_fields() {
for name in ["quantity", "execution_price", "account_id", "cash"] {
let mut action = json!({"kind":"target_weight","symbol":"000001.SZ","weight":0.5});
action[name] = json!(100);
assert!(serde_json::from_value::<SignalAction>(action).is_err());
}
}
#[test]
fn coverage_and_duplicate_actions_fail_closed() {
let mut value = book();
value.expected_decisions.push(value.expected_decisions[0] + Duration::days(1));
assert!(value.validate().unwrap_err().contains("coverage"));
let mut value = book();
value.snapshots.push(value.snapshots[0].clone());
value.expected_decisions.push(value.expected_decisions[0]);
assert!(value.validate().unwrap_err().contains("duplicate"));
let mut value = book();
let repeated = value.snapshots[0].actions[0].clone();
value.snapshots[0].actions.push(repeated);
assert!(value.validate().unwrap_err().contains("duplicate"));
}
#[test]
fn rejects_overallocation_nonfinite_and_ambiguous_actions() {
for weight in [f64::NAN, f64::INFINITY, -0.1, 1.1] {
let mut value = book();
value.snapshots[0].actions[0] = SignalAction::TargetWeight { symbol: "000001.SZ".into(), weight };
assert!(value.validate().is_err());
}
let mut value = book();
value.snapshots[0].actions.push(SignalAction::TargetWeight { symbol:"000002.SZ".into(),weight:0.6 });
assert!(value.validate().unwrap_err().contains("exposure"));
let mut value = book();
value.snapshots[0].actions.push(SignalAction::Exit {symbol:"000001.SZ".into()});
assert!(value.validate().is_err());
}
#[test]
fn next_open_uses_decision_session_and_never_nearest_signal() {
let value = book().validate().unwrap();
let day = NaiveDate::from_ymd_opt(2025,1,7).unwrap();
assert!(value.snapshot_at(day, NaiveTime::from_hms_opt(9,30,0), true).is_ok());
assert!(value.snapshot_at(day, NaiveTime::from_hms_opt(14,59,0), false).is_err());
assert!(value.snapshot_at(day + Duration::days(1), None, true).is_err());
}
#[test]
fn reduction_is_resolved_from_each_accounts_actual_position() {
let mut raw = book();
raw.snapshots[0].complete_targets = false;
raw.snapshots[0].actions = vec![SignalAction::Reduce {symbol:"000001.SZ".into(),remaining_ratio:0.5}];
let value = seal(raw).validate().unwrap();
let day = NaiveDate::from_ymd_opt(2025,1,3).unwrap();
for (held, expected) in [(1000,500),(3000,1500)] {
let mut portfolio = PortfolioState::new(100_000.0);
portfolio.position_mut("000001.SZ").buy(day,held,10.0);
let result = value.snapshot_intents(&value.book.snapshots[0],&portfolio).unwrap();
assert!(matches!(result[0],OrderIntent::TargetShares {target_quantity,..} if target_quantity==expected));
assert_eq!(portfolio.position("000001.SZ").unwrap().quantity,held);
}
assert!(value.snapshot_intents(&value.book.snapshots[0],&PortfolioState::new(10_000.0)).unwrap().is_empty());
}
#[test]
fn empty_complete_snapshot_clears_only_that_accounts_holdings() {
let mut raw = book();
raw.snapshots[0].actions.clear();
let value = seal(raw).validate().unwrap();
let day = NaiveDate::from_ymd_opt(2025,1,3).unwrap();
let mut portfolio = PortfolioState::new(100_000.0);
portfolio.position_mut("000002.SZ").buy(day,200,10.0);
let result = value.snapshot_intents(&value.book.snapshots[0],&portfolio).unwrap();
assert!(matches!(&result[0],OrderIntent::TargetPercent {symbol,target_percent,..} if symbol=="000002.SZ" && *target_percent==0.0));
}
#[test]
fn platform_spec_consumes_book_without_running_another_selection() {
let spec = json!({"signalBook":book(),"runtimeExpressions":{"trading":{"actions":[{"kind":"consume_signal"}]}}});
let config = crate::platform_strategy_spec::platform_expr_config_from_value("signal-fixture","000001.SZ",&spec).unwrap();
assert!(!config.rotation_enabled && config.signal_book.is_some());
assert!(matches!(config.explicit_actions.as_slice(),[crate::PlatformTradeAction::ConsumeSignal]));
}
#[test]
fn changed_valid_contents_must_not_reuse_a_version_hash() {
let mut raw=book();
raw.snapshots[0].actions=vec![SignalAction::TargetWeight{symbol:"000001.SZ".into(),weight:0.4}];
assert_eq!(raw.clone().validate().unwrap_err(),"signal_book_content_hash_mismatch");
seal(raw).validate().unwrap();
}
#[test]
fn completed_daily_inputs_may_be_published_after_market_close() {
let mut raw=book();
raw.expected_decisions=vec!["2026-07-07T09:30:00+08:00".parse().unwrap()];
raw.snapshots[0].decision_at=raw.expected_decisions[0];
raw.snapshots[0].input_as_of="2026-07-06T15:30:00+08:00".parse().unwrap();
raw.snapshots[0].input_available_at="2026-07-06T16:00:00+08:00".parse().unwrap();
raw.snapshots[0].generated_at=raw.snapshots[0].input_available_at;
raw.snapshots[0].published_at=raw.snapshots[0].generated_at;
raw.provenance=SignalProvenance::Observed;
seal(raw).validate().unwrap().require_observed().unwrap();
}
}
@@ -2,7 +2,7 @@ use chrono::{Duration, NaiveDate, NaiveTime};
use fidc_core::{
BacktestConfig, BacktestEngine, BenchmarkSnapshot, BrokerSimulator, CandidateEligibility,
ChinaAShareCostModel, ChinaEquityRuleHooks, DailyFactorSnapshot, DailyMarketSnapshot, DataSet,
IntradayExecutionQuote, MatchingType, OrderIntent, PriceField, Strategy, StrategyContext,
Instrument, IntradayExecutionQuote, MatchingType, OrderIntent, PriceField, Strategy, StrategyContext,
StrategyDecision,
};
use std::collections::{BTreeMap, BTreeSet};
@@ -16,6 +16,18 @@ fn t(hour: u32, minute: u32, second: u32) -> NaiveTime {
NaiveTime::from_hms_opt(hour, minute, second).expect("valid time")
}
fn fixture_instruments() -> Vec<Instrument> {
vec![Instrument {
symbol: "000001.SZ".to_string(),
name: "quote-plan-fixture".to_string(),
board: "SZ".to_string(),
round_lot: 100,
listed_at: Some(d(2020, 1, 1)),
delisted_at: None,
status: "active".to_string(),
}]
}
#[derive(Default)]
struct DecisionQuoteReader {
day_count: usize,
@@ -90,7 +102,7 @@ impl Strategy for NoLoaderDecisionQuoteStrategy {
fn single_day_quote_plan_data(date: NaiveDate) -> DataSet {
DataSet::from_components(
Vec::new(),
fixture_instruments(),
vec![DailyMarketSnapshot {
date,
symbol: "000001.SZ".to_string(),
@@ -253,7 +265,7 @@ 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(),
fixture_instruments(),
vec![
DailyMarketSnapshot {
date: first,
@@ -423,7 +435,7 @@ 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(),
fixture_instruments(),
vec![
DailyMarketSnapshot {
date: first,
@@ -658,7 +670,7 @@ 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(),
fixture_instruments(),
vec![
DailyMarketSnapshot {
date: first,
@@ -7,3 +7,9 @@
整个明确证券范围尚未上市时保留官方日历内现金净值点,不缩短回测范围,不伪造成交或 OHLCV。基准只在首个基线点归一,后续无交易日不反复重置。
513 项核心测试通过,6 项原有测试忽略。新增验证包含沪深北股票和 ETF 上市前、实际摘牌日、未知证券身份、候选缺失、正式停牌和普通价格缺口、全池上市前现金期间。对单个正式分区的数据缺口仍需数据源修复,不从这些测试外推全市场完整性。
## 真实边界回放补充
177 回测 `btr_1789041425783_797911_1`920038.BJ2026-08-04 至 08-07。真实上市日08-05,原结果只保留08-05至08-07三个净值点。原因是准备面同时加载基准000300.SH,基准不是交易候选但参与了“全部证券生命周期外”的判定。现在只排除已声明且没有交易候选记录的基准,不按代码或名称猜测指数,也不把真实候选排除;补充真实准备结构的回归后,4日现金区间完整保留。
该草稿沿用源池 `rejectBjseSelection=false``rejectBjseBuy=true`,所以选中北交所但不下单符合其买入政策;原规划阶段没有记录拒绝原因则是审计缺项。新增 `scope=buy, stage=buy_planning` 审计,不伪造订单ID,不把买入否决改写成选股排除。测试验证禁止时无订单且有bjse原因,放开买入政策时正常生成意图。最新核心514项通过、6项原有忽略。