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JINN Case Study: PLTR November 2024 - August 2025

From Architectural Intelligence to Quantifiable Alpha

The Problem: Existing traditional models often struggle to generate alpha (excess returns) because they depend on static signals, making them vulnerable to market volatility.

JINN's Solution: JINN's integrated architecture transcends static prediction and incorporates "architectural intelligence" to adapt to changing market conditions.

1. The Scenario: Strong but Volatile Uptrend

2. The Approach: A Symphony of Systems

3. The Structure: Intelligent Patience and Architectural Synergy

4. The Result: Quantifiable, High-Precision Performance

5. The Analysis: System Architecture and Performance Metrics

5.1 Deep Analysis: Architectural Drivers of the Default Performance Profile

5.2 Analysis of Risk-Adjusted Returns (Sharpe 2.74, Sortino 4.98)

5.3 Analysis of Drawdown Profile and System Resilience (Calmar 23.78, Drawdown Duration 10 Trading Days)

5.4 Analysis of the Trade Entry and Entry Precision (MAE 15.23%. Win Rate 100%)

5.5 Conclusion for the Quantitative Professional

6. The Outcome: The Fusion of Process and Performance

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