OPTIMIZATION OF TRADING STRATEGIES USING FIBONACCI RETRACEMENT AND URVIN EXTENSIONS IN DIGITAL ECONOMY ENVIRONMENTS

To‘qmirzayev , Kamol

Рақамли иқтисодиёт ва ахборот технологиялари · 2025-yil

Annotatsiya

This study enhances the understanding of trading strategy optimization by integrating Fibonacci Retracement and Urvin Extension levels in the context of the digital economy. It combines technical, mathematical, and algorithmic approaches to develop an adaptive model for cryptocurrency and gold assets. By applying volatility-adjusted testing and dynamic ratio calibration, the research demonstrates how modified Fibonacci ratios enhance trend precision and trading efficiency. The proposed framework significantly improves decision accuracy, reduces drawdown risk, and enhances return-to-risk performance, making it applicable for real-time algorithmic systems

Maqola ma’lumotlari
MualliflarTo‘qmirzayev , Kamol
JurnalРақамли иқтисодиёт ва ахборот технологиялари
Nashr sanasi2025-12-30
Jild5
Son4
Betlar110-115
TilIngliz

Kalit so‘zlar

Fibonacci retracement, Urvin extensions, digital economy, algorithmic trading, cryptocurrency, gold assets, optimization, risk management

Ilmiy soha

Рақамли иқтисодиёт ва ахборот технологиялари jurnalidan boshqa maqolalar

Рақамли иқтисодиёт ва ахборот технологиялари — barcha maqolalar