• GNASD-Enhanced GASBET: A Timeframe-Adaptive Break-Even Framework

    • May 8, 2025
    • Posted by: DrGlenBrown2
    • Category: Algorithmic Trading / Risk Management
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    GNASD-Enhanced GASBET: A Timeframe-Adaptive Break-Even Framework

    An adaptive break-even framework using per-instrument SD, √time scaling, and Fibonacci multipliers—fully integrated into GATS.

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  • Adaptive Volatility Scaling in Financial Engineering: Integrating Technical Market Phases with the GATS Framework

    • April 10, 2025
    • Posted by: DrGlenBrown2
    • Category: Financial Engineering
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    Adaptive Volatility Scaling in Financial Engineering: Integrating Technical Market Phases with the GATS Framework Dr. Glen Brown Global Accountancy Institute, Inc. and Global Financial Engineering, Inc.

    Discover how the Adaptive Volatility Scaling Principle transforms risk management by integrating technical market phases with the GATS Framework. Learn how our innovative approach enhances dynamic trailing stops and break-even triggers for superior systematic trading performance.

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  • The Evolution of Financial Engineering: From Theory to Systematic Trading

    • April 2, 2025
    • Posted by: DrGlenBrown2
    • Category: Financial Engineering
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    The Evolution of Financial Engineering: From Theory to Systematic Trading

    Discover a hybrid model for the GATS Framework that integrates a dynamic break-even trigger—using both a percentage derived from the mean and standard deviation of DAATS values and a fixed point threshold—to optimize trade exits and enhance risk-adjusted returns.

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  • A Hybrid Adaptive Break-Even Mechanism for the GATS Framework: Integrating Dynamic Percentages and Fixed Point Thresholds

    • March 27, 2025
    • Posted by: DrGlenBrown2
    • Category: Blog
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    A Hybrid Adaptive Break-Even Mechanism for the GATS Framework: Integrating Dynamic Percentages and Fixed Point Thresholds

    Discover a hybrid model for the GATS Framework that integrates a dynamic breakeven trigger—using both a percentage derived from the mean and standard deviation of DAATS values and a fixed point threshold—to optimize trade exits and enhance risk-adjusted returns.

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