refactor(ml): rename real_data_loader to data_loader

The real_ prefix was misleading — there is no fake data loader.
Mechanical rename across 18 source files, no logic changes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

crates/ml/src/benchmark/dqn_benchmark.rs

@@ -51,7 +51,7 @@ use tokio::sync::Mutex;
 use tracing::info;
 
 use crate::dqn::{Experience, DQN, DQNConfig};
-use crate::real_data_loader::{FeatureMatrix, RealDataLoader};
+use crate::data_loader::{FeatureMatrix, RealDataLoader};
 
 use super::batch_size_finder::{BatchSizeConfig, BatchSizeFinder};
 use super::gpu_hardware::GpuHardwareManager;
@@ -319,7 +319,7 @@ impl DqnBenchmarkRunner {
     /// Convert Indicators to feature vectors
     fn convert_indicators_to_features(
         &self,
-        indicators: &crate::real_data_loader::Indicators,
+        indicators: &crate::data_loader::Indicators,
     ) -> Result<Vec<Vec<f32>>> {
         let mut features = Vec::new();
         let len = indicators.rsi.len();

crates/ml/src/benchmark/mamba2_benchmark.rs

@@ -61,7 +61,7 @@ use tokio::sync::Mutex;
 use tracing::info;
 
 use crate::mamba::{Mamba2Config, Mamba2SSM, OptimizerType};
-use crate::real_data_loader::RealDataLoader;
+use crate::data_loader::RealDataLoader;
 
 use super::batch_size_finder::{BatchSizeConfig, BatchSizeFinder};
 use super::gpu_hardware::GpuHardwareManager;
@@ -326,7 +326,7 @@ impl Mamba2BenchmarkRunner {
     /// Each sequence is 128 timesteps, predicting the next value.
     fn create_sequences(
         &self,
-        features: &crate::real_data_loader::FeatureMatrix,
+        features: &crate::data_loader::FeatureMatrix,
     ) -> Result<Vec<(Tensor, Tensor)>> {
         let seq_len = 128; // Sequence length for MAMBA-2
         let mut sequences = Vec::new();

crates/ml/src/benchmark/tft_benchmark.rs

@@ -61,7 +61,7 @@ use std::time::Instant;
 use tokio::sync::Mutex;
 use tracing::info;
 
-use crate::real_data_loader::{FeatureMatrix, RealDataLoader};
+use crate::data_loader::{FeatureMatrix, RealDataLoader};
 use crate::tft::training::{TFTDataLoader, TFTTrainer, TFTTrainingConfig};
 use crate::tft::TFTConfig;
 

crates/ml/src/data_loader.rs

@@ -20,7 +20,7 @@
 //! ## Usage
 //!
 //! ```rust
-//! use ml::real_data_loader::RealDataLoader;
+//! use ml::data_loader::RealDataLoader;
 //!
 //! let loader = RealDataLoader::new("test_data/real/databento").await?;
 //! let bars = loader.load_symbol_data("ZN.FUT").await?;

crates/ml/src/data_validation/rules.rs

@@ -4,7 +4,7 @@
 //! Each rule implements the `ValidationRule` trait and can be composed
 //! into a comprehensive validation pipeline.
 
-use crate::real_data_loader::Indicators;
+use crate::data_loader::Indicators;
 use crate::types::OHLCVBar;
 use anyhow::Result;
 

crates/ml/src/data_validation/validator.rs

@@ -5,7 +5,7 @@
 use std::fmt::Write as _;
 
 use super::rules::{Severity, ValidationError, ValidationRule};
-use crate::real_data_loader::Indicators;
+use crate::data_loader::Indicators;
 use crate::types::OHLCVBar;
 use anyhow::Result;
 use std::sync::atomic::{AtomicUsize, Ordering};

crates/ml/src/features/extraction.rs

@@ -13,7 +13,7 @@
 //! ## Architecture
 //! ```rust
 //! use ml::features::extraction::extract_ml_features;
-//! use ml::real_data_loader::RealDataLoader;
+//! use ml::data_loader::RealDataLoader;
 //!
 //! let loader = RealDataLoader::new();
 //! let bars = loader.load_ohlcv_bars("ES.FUT").await?;

crates/ml/src/lib.rs

@@ -933,7 +933,7 @@ pub mod stress_testing; // Stress testing framework
 pub mod training_pipeline; // Complete training pipeline system
 pub mod traits; // Common traits for ML models // Production observability and monitoring // Integration with model_loader crate
 
-pub mod real_data_loader;
+pub mod data_loader;
 pub mod walk_forward;
 pub mod data_validation;
 pub mod model_registry;

crates/ml/tests/bayesian_changepoint_test.rs

@@ -481,7 +481,7 @@ fn test_performance_changepoint_detection() {
 #[tokio::test]
 async fn test_real_data_zn_futures() {
     // Test BOCD on real 10-Year Treasury Note futures data
-    use ml::real_data_loader::RealDataLoader;
+    use ml::data_loader::RealDataLoader;
 
     let loader = RealDataLoader::new();
     let file_path = "test_data/real/databento/ml_training/ZN.FUT_ohlcv-1m_2024-01-02.dbn";
@@ -556,7 +556,7 @@ async fn test_real_data_zn_futures() {
 #[tokio::test]
 async fn test_real_data_euro_futures() {
     // Test BOCD on real Euro FX futures data
-    use ml::real_data_loader::RealDataLoader;
+    use ml::data_loader::RealDataLoader;
 
     let loader = RealDataLoader::new();
     let file_path = "test_data/real/databento/6E.FUT_ohlcv-1m_2024-01-02_to_2024-01-31.dbn";

crates/ml/tests/common/validation_helpers.rs

@@ -25,7 +25,7 @@ use ml::data_validation::rules::{
     CompletenessRule, ContinuityRule, IndicatorRule, IntegrityRule, TimestampRule,
 };
 use ml::data_validation::validator::{DataValidator, ValidationResult};
-use ml::real_data_loader::Indicators;
+use ml::data_loader::Indicators;
 use ml::types::OHLCVBar;
 
 // ============================================================================

crates/ml/tests/dqn_training_smoke_test.rs

@@ -172,7 +172,7 @@ async fn test_dqn_training_smoke() -> Result<()> {
     // architecture, we test the validation pipeline independently with a simpler
     // DQN that trains inside the harness vs. random baseline.
     use ml::dqn::DQNConfig;
-    use ml::real_data_loader::RealDataLoader;
+    use ml::data_loader::RealDataLoader;
     use ml::validation::{
         DqnStrategy, TimeSeriesData, ValidationHarness, ValidationHarnessConfig,
         WalkForwardConfig,

crates/ml/tests/ensemble_real_models_validation_test.rs

@@ -27,7 +27,7 @@ use ml::ensemble::decision::{
 use ml::ppo::gae::{compute_gae, GAEConfig};
 use ml::ppo::ppo::{PPOConfig, PPO};
 use ml::ppo::trajectories::{Trajectory, TrajectoryBatch, TrajectoryStep};
-use ml::real_data_loader::RealDataLoader;
+use ml::data_loader::RealDataLoader;
 use ml::{Features, ModelPrediction};
 
 // ---------------------------------------------------------------------------

crates/ml/tests/ppo_validation_real_data_test.rs

@@ -13,7 +13,7 @@
 use chrono::{DateTime, Utc};
 use ml::ppo::gae::GAEConfig;
 use ml::ppo::ppo::PPOConfig;
-use ml::real_data_loader::RealDataLoader;
+use ml::data_loader::RealDataLoader;
 use ml::validation::{
     PpoLstmStrategy, PpoStrategy, TimeSeriesData, ValidationHarness, ValidationHarnessConfig,
     WalkForwardConfig,

crates/ml/tests/real_data_helpers.rs

@@ -201,7 +201,7 @@ mod tests {
     use super::*;
 
     #[tokio::test]
-    async fn test_real_data_loader_creation() {
+    async fn test_data_loader_creation() {
         let loader = RealDataLoader::new();
         assert!(!loader.base_path.is_empty());
     }

crates/ml/tests/validation_real_data_test.rs

@@ -10,7 +10,7 @@
 
 use chrono::{DateTime, Utc};
 use ml::dqn::DQNConfig;
-use ml::real_data_loader::RealDataLoader;
+use ml::data_loader::RealDataLoader;
 use ml::validation::{
     DqnStrategy, TimeSeriesData, ValidationHarness, ValidationHarnessConfig, WalkForwardConfig,
 };

services/trading_service/tests/wave_d_225_feature_extraction_test.rs

@@ -191,7 +191,7 @@ fn test_real_databento_integration() -> Result<()> {
 
     // Note: This requires the databento crate and proper decoder
     // For now, we'll just verify the file exists and skip actual loading
-    // In production, use: ml::real_data_loader::RealDataLoader
+    // In production, use: ml::data_loader::RealDataLoader
 
     println!("✓ Test data file exists (actual loading requires RealDataLoader)");
     println!("  For full integration, run: cargo test -p ml --test real_data_integration");

testing/test-common/src/builders/bar_builder.rs

@@ -1,7 +1,7 @@
 //! OHLCV Bar builder for testing
 
 use chrono::{DateTime, Duration, Utc};
-use ml::real_data_loader::OHLCVBar;
+use ml::data_loader::OHLCVBar;
 
 /// Builder for creating OHLCV bars
 pub struct BarBuilder {

testing/test-common/src/fixtures/market_data.rs

@@ -4,7 +4,7 @@
 //! Consolidates patterns from 15+ test files with `create_mock_bars()` functions.
 
 use chrono::{DateTime, Duration, Utc};
-use ml::real_data_loader::OHLCVBar;
+use ml::data_loader::OHLCVBar;
 use rand::Rng;
 
 /// Generate OHLCV bars with realistic price movements