@workspace strategies/strategy_activation_scores.py strategies/params_strategy_activation_scores_fast.json strategies/optimize_strategy.py

I need you to act as an autonomous optimization agent. I want to optimize the parameters for `strategies/strategy_activation_scores.py` using the grid search tool `strategies/optimize_strategy.py`.

The parameters are defined in `strategies/params_strategy_activation_scores_fast.json`.

Please perform the following loop 3 to 5 times (stop if Sharpe Ratio stops improving):

1.  **Run Optimization:** 
    Execute this command in the terminal:
    `python3 strategies/optimize_strategy.py --strategy_file strategy_activation_scores.py --params_file strategies/params_strategy_activation_scores_fast.json`

2.  **Analyze Results:** 
    Read the generated `results/optimization_winner_activation_scores.csv` to see the best parameters and the Sharpe Ratio.

3.  **Refine Parameters:** 
    Based on the winner, update `strategies/params_strategy_activation_scores_fast.json`:
    *   If a winning value is at the **edge** of a range (start or stop), **shift** the range in that direction.
    *   If it's in the **middle**, **narrow** the range around it to increase precision.
    *   Keep the total number of combinations reasonable (under 100000) so it runs quickly.

4.  **Log:** 
    Briefly tell me the best Sharpe Ratio and total number of combinations of this run before moving to the next iteration.

Start with Iteration 1 now.