- Created data/examples/download_ml_training_data.rs using reqwest + Databento HTTP API - Downloaded 90 days × 4 symbols (ES.FUT, NQ.FUT, ZN.FUT, 6E.FUT) - Files saved to test_data/real/databento/ml_training/ - Total: 360 files, 15 MB compressed DBN format - Used existing Rust pattern from download_nq_fut.rs - API key loaded from .env file - 100% success rate (360/360 files) - Ready for ML training benchmarks Next: Create simplified training benchmark for RTX 3050 Ti GPU measurements
423 lines
16 KiB
Rust
423 lines
16 KiB
Rust
//! Multi-Symbol DBN Data Validation Example
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//!
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//! Comprehensive validation of GC (Gold), ZN (Treasury), and 6E (Euro FX) DBN data quality.
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//! Checks data statistics, quality, and production readiness for all three symbols.
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use anyhow::Result;
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use backtesting_service::dbn_repository::DbnMarketDataRepository;
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use backtesting_service::repositories::MarketDataRepository;
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use chrono::{DateTime, Utc};
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use rust_decimal::prelude::ToPrimitive;
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use rust_decimal::Decimal;
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use std::collections::HashMap;
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struct SymbolConfig {
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symbol: String,
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file_path: String,
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expected_price_min: f64,
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expected_price_max: f64,
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description: String,
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}
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struct ValidationResult {
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symbol: String,
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total_bars: usize,
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ohlcv_violations: usize,
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zero_volumes: usize,
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gaps: usize,
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price_spikes: usize,
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min_price: Decimal,
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max_price: Decimal,
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avg_price: Decimal,
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quality_score: String,
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production_ready: bool,
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}
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#[tokio::main]
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async fn main() -> Result<()> {
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println!("═══════════════════════════════════════════════════════════════");
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println!(" Multi-Symbol DBN Data Validation Report");
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println!(" GC (Gold) | ZN (Treasury) | 6E (Euro FX)");
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println!("═══════════════════════════════════════════════════════════════\n");
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// Configure symbols for validation
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// NOTE: Using decompressed files because dbn 0.42.0 doesn't support Zstandard compression
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let symbols = vec![
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SymbolConfig {
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symbol: "GC".to_string(),
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file_path: "test_data/real/databento/GC_continuous_ohlcv-1m_2024-01-02_to_2024-01-31.uncompressed.dbn".to_string(),
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expected_price_min: 2000.0,
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expected_price_max: 2100.0,
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description: "Gold Futures (Continuous)".to_string(),
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},
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SymbolConfig {
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symbol: "ZN.FUT".to_string(),
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file_path: "test_data/real/databento/ZN.FUT_ohlcv-1m_2024-01-02_to_2024-01-31.uncompressed.dbn".to_string(),
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expected_price_min: 110.0,
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expected_price_max: 113.0,
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description: "10-Year Treasury Note Futures".to_string(),
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},
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SymbolConfig {
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symbol: "6E.FUT".to_string(),
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file_path: "test_data/real/databento/6E.FUT_ohlcv-1m_2024-01-02_to_2024-01-31.uncompressed.dbn".to_string(),
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expected_price_min: 1.08,
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expected_price_max: 1.11,
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description: "Euro FX Futures (EUR/USD)".to_string(),
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},
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];
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let mut results = Vec::new();
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// Validate each symbol
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for config in &symbols {
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match validate_symbol(config).await {
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Ok(result) => {
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print_validation_result(&result);
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results.push(result);
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}
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Err(e) => {
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println!("❌ ERROR validating {}: {}\n", config.symbol, e);
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}
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}
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}
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// Print overall summary
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print_overall_summary(&results);
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Ok(())
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}
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async fn validate_symbol(config: &SymbolConfig) -> Result<ValidationResult> {
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println!("┌────────────────────────────────────────────────────────────┐");
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println!("│ Symbol: {} - {}", config.symbol, config.description);
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println!("└────────────────────────────────────────────────────────────┘\n");
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// Load data
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let mut file_mapping = HashMap::new();
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file_mapping.insert(config.symbol.clone(), config.file_path.clone());
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let repo = DbnMarketDataRepository::new(file_mapping).await?;
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let symbols = vec![config.symbol.clone()];
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let start_time = 1704153600_000_000_000i64; // 2024-01-02 00:00:00 UTC
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let end_time = 1706745600_000_000_000i64; // 2024-01-31 23:59:59 UTC
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let data = repo
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.load_historical_data(&symbols, start_time, end_time)
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.await?;
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if data.is_empty() {
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println!("❌ ERROR: No data loaded!\n");
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return Ok(ValidationResult {
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symbol: config.symbol.clone(),
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total_bars: 0,
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ohlcv_violations: 0,
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zero_volumes: 0,
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gaps: 0,
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price_spikes: 0,
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min_price: Decimal::ZERO,
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max_price: Decimal::ZERO,
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avg_price: Decimal::ZERO,
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quality_score: "POOR".to_string(),
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production_ready: false,
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});
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}
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// Basic statistics
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println!("📊 Basic Statistics:");
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println!(" Total bars: {}", data.len());
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println!(" Symbol: {}", data[0].symbol);
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println!();
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// Price statistics
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let mut prices: Vec<Decimal> = data.iter().map(|b| b.close).collect();
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prices.sort();
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let min_price = *prices.first().unwrap();
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let max_price = *prices.last().unwrap();
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let median_price = prices[prices.len() / 2];
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let sum_prices: Decimal = prices.iter().sum();
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let avg_price = sum_prices / Decimal::from(prices.len());
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println!("💰 Price Analysis:");
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println!(" Min close: ${:.2}", min_price);
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println!(" Max close: ${:.2}", max_price);
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println!(" Median close: ${:.2}", median_price);
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println!(" Avg close: ${:.2}", avg_price);
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println!(" Range: ${:.2}", max_price - min_price);
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println!(" Expected: ${:.2} - ${:.2}", config.expected_price_min, config.expected_price_max);
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// Check if prices are in expected range
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let min_price_f64 = min_price.to_f64().unwrap_or(0.0);
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let max_price_f64 = max_price.to_f64().unwrap_or(0.0);
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let price_range_ok = min_price_f64 >= config.expected_price_min * 0.9
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&& max_price_f64 <= config.expected_price_max * 1.1;
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if price_range_ok {
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println!(" ✅ Price range within expected bounds");
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} else {
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println!(" ⚠️ Price range outside expected bounds");
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}
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println!();
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// Volume statistics
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let total_volume: Decimal = data.iter().map(|b| b.volume).sum();
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let avg_volume = total_volume / Decimal::from(data.len());
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let max_volume = data.iter().map(|b| b.volume).max().unwrap_or(Decimal::ZERO);
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let min_volume = data.iter().map(|b| b.volume).min().unwrap_or(Decimal::ZERO);
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println!("📈 Volume Analysis:");
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println!(" Total volume: {:.0}", total_volume);
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println!(" Avg volume: {:.0}", avg_volume);
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println!(" Max volume: {:.0}", max_volume);
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println!(" Min volume: {:.0}", min_volume);
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println!();
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// Timestamp analysis
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let first_ts = data.first().unwrap().timestamp;
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let last_ts = data.last().unwrap().timestamp;
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let duration_seconds = (last_ts - first_ts).num_seconds();
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let duration_days = duration_seconds / 86400;
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let duration_hours = (duration_seconds % 86400) / 3600;
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println!("⏰ Timestamp Analysis:");
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println!(" First bar: {}", format_timestamp(&first_ts));
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println!(" Last bar: {}", format_timestamp(&last_ts));
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println!(
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" Duration: {} days, {} hours",
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duration_days, duration_hours
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);
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println!(" Expected: ~29-30 days (January 2024)");
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println!();
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// Data quality checks
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println!("✅ Data Quality Checks:");
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let mut gaps = 0;
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let mut ohlcv_violations = 0;
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let mut zero_volumes = 0;
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let mut price_spikes = 0;
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for i in 0..data.len() {
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let bar = &data[i];
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// Check OHLCV relationships
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if !(bar.high >= bar.low
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&& bar.high >= bar.open
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&& bar.high >= bar.close
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&& bar.low <= bar.open
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&& bar.low <= bar.close)
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{
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ohlcv_violations += 1;
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if ohlcv_violations <= 5 {
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// Only print first 5
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println!(
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" OHLCV violation at bar {}: O={} H={} L={} C={}",
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i, bar.open, bar.high, bar.low, bar.close
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);
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}
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}
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// Check for zero volume
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if bar.volume == Decimal::ZERO {
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zero_volumes += 1;
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}
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// Check for timestamp gaps (should be ~60 seconds for 1-minute bars)
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if i > 0 {
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let gap = (bar.timestamp - data[i - 1].timestamp).num_seconds();
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if gap > 120 {
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// More than 2 minutes
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gaps += 1;
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if gaps <= 5 {
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// Only print first 5
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println!(
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" Large gap at bar {}: {} seconds ({} minutes)",
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i,
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gap,
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gap / 60
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);
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}
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}
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}
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// Check for abnormal price spikes (>20% move for commodities/FX)
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if i > 0 {
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let prev_close = data[i - 1].close;
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if prev_close > Decimal::ZERO {
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let price_change_pct =
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((bar.close - prev_close) / prev_close).abs() * Decimal::from(100);
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if price_change_pct > Decimal::from(20) {
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price_spikes += 1;
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if price_spikes <= 5 {
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// Only print first 5
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println!(
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" Price spike at bar {}: {:.2}% change (${:.2} -> ${:.2})",
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i, price_change_pct, prev_close, bar.close
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);
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}
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}
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}
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}
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}
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// Print summary counts
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if ohlcv_violations > 5 {
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println!(" ... and {} more OHLCV violations", ohlcv_violations - 5);
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}
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if gaps > 5 {
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println!(" ... and {} more large gaps", gaps - 5);
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}
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if price_spikes > 5 {
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println!(" ... and {} more price spikes", price_spikes - 5);
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}
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println!();
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println!(" OHLCV violations: {}", ohlcv_violations);
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println!(
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" Zero volumes: {} ({:.1}%)",
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zero_volumes,
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(zero_volumes as f64 / data.len() as f64) * 100.0
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);
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println!(
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" Large gaps (>2m): {} ({:.1}%)",
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gaps,
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(gaps as f64 / data.len() as f64) * 100.0
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);
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println!(" Price spikes (>20%): {}", price_spikes);
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println!();
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// Overall quality assessment
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let zero_volume_pct = (zero_volumes as f64 / data.len() as f64) * 100.0;
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let gap_pct = (gaps as f64 / data.len() as f64) * 100.0;
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let quality_score = if ohlcv_violations == 0
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&& zero_volume_pct < 10.0
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&& gap_pct < 5.0
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&& price_spikes == 0
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{
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"EXCELLENT"
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} else if ohlcv_violations < 5 && zero_volume_pct < 20.0 && gap_pct < 10.0 && price_spikes == 0
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{
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"GOOD"
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} else if ohlcv_violations < 10 {
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"ACCEPTABLE"
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} else {
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"POOR"
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};
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let production_ready = quality_score == "EXCELLENT" || quality_score == "GOOD";
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println!("📋 Overall Quality Assessment: {}", quality_score);
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println!();
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// Production readiness
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println!("🚀 Production Readiness:");
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if production_ready {
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println!(" ✅ Data is suitable for backtesting");
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println!(" ✅ No critical quality issues detected");
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} else {
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println!(" ⚠️ Data quality issues detected");
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println!(" ⚠️ Review violations before production use");
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}
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println!();
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Ok(ValidationResult {
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symbol: config.symbol.clone(),
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total_bars: data.len(),
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ohlcv_violations,
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zero_volumes,
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gaps,
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price_spikes,
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min_price,
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max_price,
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avg_price,
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quality_score: quality_score.to_string(),
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production_ready,
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})
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}
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fn print_validation_result(result: &ValidationResult) {
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println!("═══════════════════════════════════════════════════════════════\n");
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}
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fn print_overall_summary(results: &[ValidationResult]) {
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println!("┌────────────────────────────────────────────────────────────┐");
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println!("│ OVERALL SUMMARY - Multi-Symbol Validation");
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println!("└────────────────────────────────────────────────────────────┘\n");
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println!("╔════════════╦══════════╦════════════╦═════════════╦═════════════════════╗");
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println!("║ Symbol ║ Bars ║ Quality ║ OHLCV Viol. ║ Production Ready ║");
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println!("╠════════════╬══════════╬════════════╬═════════════╬═════════════════════╣");
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for result in results {
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println!(
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"║ {:<10} ║ {:>8} ║ {:<10} ║ {:>11} ║ {:<19} ║",
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result.symbol,
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result.total_bars,
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result.quality_score,
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result.ohlcv_violations,
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if result.production_ready {
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"✅ YES"
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} else {
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"❌ NO"
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}
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);
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}
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println!("╚════════════╩══════════╩════════════╩═════════════╩═════════════════════╝\n");
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// Detailed statistics
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println!("📊 Detailed Statistics:\n");
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for result in results {
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println!(" {} ({}):", result.symbol, result.quality_score);
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println!(" Total bars: {}", result.total_bars);
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println!(" Price range: ${:.2} - ${:.2}", result.min_price, result.max_price);
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println!(" Avg price: ${:.2}", result.avg_price);
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println!(" OHLCV violations: {}", result.ohlcv_violations);
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println!(
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" Zero volumes: {} ({:.1}%)",
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result.zero_volumes,
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(result.zero_volumes as f64 / result.total_bars as f64) * 100.0
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);
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println!(
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" Large gaps: {} ({:.1}%)",
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result.gaps,
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(result.gaps as f64 / result.total_bars as f64) * 100.0
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);
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println!(" Price spikes: {}", result.price_spikes);
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println!();
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}
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// Final recommendations
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println!("💡 Final Assessment:\n");
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let all_ready = results.iter().all(|r| r.production_ready);
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let total_symbols = results.len();
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let ready_count = results.iter().filter(|r| r.production_ready).count();
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if all_ready {
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println!(" ✅ ALL {} SYMBOLS ARE PRODUCTION READY", total_symbols);
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println!(" ✅ Data quality meets requirements for backtesting");
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println!(" ✅ No critical quality issues detected across all symbols");
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println!(" ✅ Recommend proceeding with backtesting strategies");
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} else {
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println!(
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" ⚠️ {}/{} symbols are production ready",
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ready_count, total_symbols
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);
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println!(" ⚠️ Review symbols with quality issues:");
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for result in results.iter().filter(|r| !r.production_ready) {
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println!(" • {} - {} quality", result.symbol, result.quality_score);
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}
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}
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println!();
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println!("═══════════════════════════════════════════════════════════════");
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}
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fn format_timestamp(ts: &DateTime<Utc>) -> String {
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ts.format("%Y-%m-%d %H:%M:%S UTC").to_string()
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}
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