233 lines
6.8 KiB
Rust
233 lines
6.8 KiB
Rust
//! Stress testing for portfolios.
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//!
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//! Applies historical and hypothetical scenarios to estimate P&L impact.
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use riskflow_shared::{Portfolio, StressTestResult};
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/// Stress tester.
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#[derive(Debug)]
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pub struct StressTester {
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/// Predefined scenarios.
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scenarios: Vec<StressScenario>,
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}
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/// A stress test scenario.
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#[derive(Debug, Clone)]
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pub struct StressScenario {
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/// Scenario name.
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pub name: String,
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/// Description.
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pub description: String,
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/// Market shock (%).
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pub market_shock: f64,
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/// Sector-specific shocks.
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pub sector_shocks: Vec<(String, f64)>,
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}
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impl Default for StressTester {
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fn default() -> Self {
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Self::new()
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}
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}
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impl StressTester {
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/// Create a new stress tester with predefined scenarios.
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#[must_use]
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pub fn new() -> Self {
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Self {
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scenarios: default_scenarios(),
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}
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}
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/// Run all stress tests.
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#[must_use]
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pub fn run_all(&self, portfolio: &Portfolio) -> Vec<StressTestResult> {
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self.scenarios
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.iter()
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.map(|scenario| self.run_scenario(portfolio, scenario))
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.collect()
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}
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/// Run a single stress test scenario.
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fn run_scenario(&self, portfolio: &Portfolio, scenario: &StressScenario) -> StressTestResult {
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let total_value = portfolio
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.positions
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.iter()
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.map(|p| p.market_value)
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.sum::<f64>();
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let mut position_impacts = Vec::with_capacity(portfolio.positions.len());
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let mut total_pnl: f64 = 0.0;
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for position in &portfolio.positions {
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// Calculate position-level impact
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let beta_impact = position.beta * scenario.market_shock;
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// Add sector-specific shock
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let sector_shock = scenario
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.sector_shocks
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.iter()
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.find(|(s, _)| s == &position.sector)
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.map_or(0.0, |(_, shock)| *shock);
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let position_pnl = position.market_value * (beta_impact + sector_shock) / 100.0;
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total_pnl += position_pnl;
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let position_return = beta_impact + sector_shock;
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position_impacts.push((position.symbol.clone(), position_return));
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}
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let pnl_impact = if total_value > 0.0 {
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total_pnl / total_value * 100.0
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} else {
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0.0
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};
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StressTestResult {
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scenario: scenario.name.clone(),
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description: scenario.description.clone(),
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pnl_impact,
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position_impacts,
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}
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}
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/// Add a custom scenario.
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pub fn add_scenario(&mut self, scenario: StressScenario) {
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self.scenarios.push(scenario);
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}
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/// Get all scenarios.
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#[must_use]
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pub fn scenarios(&self) -> &[StressScenario] {
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&self.scenarios
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}
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}
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/// Default stress test scenarios.
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fn default_scenarios() -> Vec<StressScenario> {
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vec![
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StressScenario {
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name: "2008 Financial Crisis".to_string(),
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description: "Sharp market decline with financial sector stress".to_string(),
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market_shock: -40.0,
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sector_shocks: vec![
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("Financials".to_string(), -25.0),
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("Technology".to_string(), 5.0),
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("Consumer Staples".to_string(), 10.0),
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],
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},
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StressScenario {
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name: "COVID-19 Crash".to_string(),
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description: "Rapid 30% market decline".to_string(),
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market_shock: -30.0,
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sector_shocks: vec![
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("Technology".to_string(), 10.0),
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("Healthcare".to_string(), 5.0),
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("Energy".to_string(), -20.0),
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],
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},
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StressScenario {
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name: "Tech Correction".to_string(),
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description: "Technology sector bubble burst".to_string(),
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market_shock: -15.0,
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sector_shocks: vec![
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("Technology".to_string(), -30.0),
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("Communications".to_string(), -15.0),
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("Financials".to_string(), 5.0),
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],
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},
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StressScenario {
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name: "Rising Rates".to_string(),
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description: "Sharp increase in interest rates".to_string(),
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market_shock: -10.0,
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sector_shocks: vec![
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("Financials".to_string(), 10.0),
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("Technology".to_string(), -15.0),
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("Consumer Staples".to_string(), -5.0),
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],
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},
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StressScenario {
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name: "Inflation Spike".to_string(),
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description: "Unexpected inflation acceleration".to_string(),
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market_shock: -8.0,
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sector_shocks: vec![
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("Energy".to_string(), 15.0),
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("Technology".to_string(), -10.0),
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("Consumer Staples".to_string(), -5.0),
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],
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},
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StressScenario {
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name: "Flash Crash".to_string(),
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description: "Sudden market liquidity crisis".to_string(),
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market_shock: -10.0,
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sector_shocks: vec![],
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},
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]
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use riskflow_shared::get_sample_portfolio;
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#[test]
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fn test_stress_tester_creation() {
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let tester = StressTester::new();
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assert!(!tester.scenarios.is_empty());
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}
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#[test]
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fn test_run_all() {
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let tester = StressTester::new();
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let portfolio = get_sample_portfolio();
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let results = tester.run_all(&portfolio);
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assert!(!results.is_empty());
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// All results should have P&L impact
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for result in &results {
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assert!(!result.scenario.is_empty());
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// P&L should be negative for crisis scenarios (most are)
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}
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}
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#[test]
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fn test_crisis_scenario_negative_pnl() {
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let tester = StressTester::new();
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let portfolio = get_sample_portfolio();
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let results = tester.run_all(&portfolio);
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let crisis = results.iter().find(|r| r.scenario.contains("2008"));
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assert!(crisis.is_some());
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assert!(crisis.unwrap().pnl_impact < 0.0); // Should be negative
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}
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#[test]
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fn test_add_custom_scenario() {
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let mut tester = StressTester::new();
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let initial_count = tester.scenarios().len();
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tester.add_scenario(StressScenario {
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name: "Custom Test".to_string(),
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description: "Test scenario".to_string(),
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market_shock: -5.0,
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sector_shocks: vec![],
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});
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assert_eq!(tester.scenarios().len(), initial_count + 1);
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}
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#[test]
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fn test_position_impacts() {
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let tester = StressTester::new();
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let portfolio = get_sample_portfolio();
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let results = tester.run_all(&portfolio);
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let result = &results[0];
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// Should have impact for each position
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assert_eq!(result.position_impacts.len(), portfolio.positions.len());
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}
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}
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