alpha_lab/stock_1d/d033/alpha158_beta/docs/VISUALIZATION_IMPROVEMENTS.md

Analysis Report: Enhanced Prediction Comparison Visualization

Issue Identified

The original prediction_comparison.png visualization lacked meaningful evaluation metrics such as:

• IC (Information Coefficient) time series
• RankIC (Rank Information Coefficient) time series
• Top-tier return cumulative difference
• Other requested financial metrics

Instead, it only showed basic scatter plots and prediction distributions.

Solution Implemented

Updated the compare_predictions.py script with enhanced visualization functionality that includes:

1. IC Time Series Comparison

• Calculates daily IC for both 0_7 and 0_7_beta prediction sets
• Plots both series on the same chart for easy comparison
• Shows temporal trends in predictive power

2. RankIC Time Series Comparison

• Calculates daily RankIC (Spearman correlation) for both versions
• Displays time series comparison to show rank correlation trends
• Helps evaluate monotonic relationships over time

3. Cumulative Top-Tier Returns

• Identifies top 10% of stocks based on predictions each day
• Calculates cumulative returns for both prediction sets
• Shows performance divergence over time

4. Difference in Cumulative Returns

• Visualizes the spread between 0_7 and 0_7_beta cumulative returns
• Helps quantify the performance gap between the two approaches
• Provides insight into which version performs better over time

5. Additional Improvements

• Fixed date type mismatch issues that prevented proper joins
• Added graceful fallback to basic visualization when actual returns unavailable
• Maintained all original basic comparison plots for comprehensive analysis

Files Updated

• compare_predictions.py - Enhanced visualization functionality
• generate_mock_returns.py - Script to create test returns data
• test_enhanced_visualization.py - Verification script

Results

The enhanced visualization now provides:

• Meaningful financial metrics that directly address the comparison requirements
• Time series analysis of IC and RankIC metrics
• Cumulative performance comparison of top-tier selections
• Proper error handling for different data formats
• Comprehensive side-by-side comparison of both alpha versions

Verification

Successfully tested the enhanced functionality with mock data, confirming that:

• All requested metrics are now visualized
• The plot contains 6 meaningful panels with financial insights
• The output file prediction_comparison.png includes all requested metrics
• Basic comparison functionality remains intact