Update hedging_preset function to double lineup_target when list_size is 5, enhancing lineup generation accuracy by adjusting target values based on portfolio size.

Update hedging_preset function to include 'sport' parameter in small_field_preset and large_field_preset calls for enhanced lineup management flexibility. This change aligns with recent updates to improve sport-specific logic in lineup strategies.

Enhance preset functions in app.py and related modules to include 'sport' parameter for improved flexibility in lineup management. This update modifies the small_field_preset, large_field_preset, volatility_preset, hedging_preset, and reduce_volatility_preset functions to accommodate sport-specific logic, enhancing user experience and accuracy in lineup strategies.

Similarity Score > Diversity

Refactor lineup generation logic in hedging_preset.py to improve processing efficiency. Introduced an initialization counter for lineup adjustments and added checks for empty DataFrames before generating lineups. Enhanced debug messages for better visibility into the lineup concatenation process.

Update lineup generation logic in hedging_preset.py to adjust lineup target calculations. Changed divisor from 3 to 4 in small_field_preset and large_field_preset functions to improve accuracy in lineup adjustments.

Enhance lineup processing in hedging_preset.py by adding checks for empty DataFrames before generating lineups. This update prevents errors when no lineups are available and improves the clarity of debug messages related to lineup generation.

Enhance lineup generation in hedging_preset.py by adding debug print statements for removed and team lineups. This update improves visibility into the lineup processing and ensures all relevant lineups are concatenated for final output.

Add debug print statements in hedging_preset.py to output the count of removed and locked lineups during processing. This change enhances visibility into lineup generation and aids in debugging the lineup filtering logic.

Add team lineup filtering in hedging_preset.py to enhance lineup generation. Introduced logic to separate teams and calculate removed lineups, improving the accuracy of team-based strategies.

Remove unused import statement from hedging_preset.py to clean up the code and improve maintainability. This change enhances clarity by eliminating unnecessary dependencies.

Add team ownership calculation in hedging_preset.py to enhance lineup generation. Introduced a new function to sum hitter ownership by team and adjusted lineup target calculations for improved accuracy. This change allows for better team-based lineup strategies.

Adjust lineup target calculations in hedging_preset.py to divide by double the list size, improving accuracy in lineup generation. This change enhances the filtering process for both removed and locked lineups.

Refactor player iteration logic in hedging_preset.py to improve clarity and accuracy in lineup filtering. Changed variable names for consistency and adjusted mask conditions to enhance player selection criteria.

Add debug print statements in hedging_preset.py to output player and lineup data during processing. Adjusted lineup target calculations to use list size directly, enhancing clarity in the lineup generation logic.

Remove sorting by 'median' in hedging_preset.py to simplify the return of the top lineups based on the specified target. This change streamlines the output and focuses on the desired number of lineups without additional sorting criteria.

Refactor hedging_preset.py to use a configurable list size for top owned players. This change enhances flexibility in player selection and adjusts lineup target calculations accordingly.

Update sorting criteria in hedging_preset.py to use 'ownership' instead of 'Own'. This change improves the accuracy of player selection by aligning with the updated data structure.

Update import statements in hedging_preset.py to reflect new module structure. This change ensures proper access to small_field_preset and large_field_preset functions, enhancing code organization and maintainability.

Replace distribute_preset with hedging_preset to manage player exposure in lineup generation. Update app.py to reflect the new preset option and remove the obsolete distribute_preset function. This change enhances the flexibility of lineup strategies by allowing users to hedge against high-exposure players while maintaining performance metrics.