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"Next-Level Trading" is custom-tailored for data-savvy traders operating within a 7- to 30-day trading time frame. This book will serve as an essential guide for them to master advanced, data-driven trading strategies, moving beyond foundational concepts and fundamental technical indicators and equipping them with sophisticated analytical techniques. Traders will learn how to utilize modern metrics and composites to gain a significant competitive advantage in today's complex markets.
The book begins by examining the distinct trading behaviors of strategic traders in comparison to their shorter-term day and swing trading counterparts. It then delves into cutting-edge analytics, including Categorized Beta for sensitivity analysis and Categorized VIX for precise volatility assessment. Traders will learn to quantify intrinsic volatility using the Coefficient of Variation (COV) and ensure data integrity by identifying outlier-free daily closing prices through the use of Z-scores. The book further enables them to uncover hidden market dynamics through comparative stock analysis using Skewness and Kurtosis and to mitigate risk effectively with Correlation Matrices and Coefficients. This book also equips traders with a Market-driven Regression model for robust back-testing and demonstrates how Scatter Plots reveal crucial linear and nonlinear market trends. Finally, it explores the innovative Nonlinear Stochastic-cum-RSI composite, a powerful tool for identifying undervalued and overvalued conditions.
"Next-Level Trading" is an indispensable resource for ambitious traders ready to refine their skills, implement advanced data-intensive strategies, and achieve lasting success in the evolving financial landscape.
By Sid Som, MBA, MIM
Copyright July 2025
The book begins by examining the distinct trading behaviors of strategic traders in comparison to their shorter-term day and swing trading counterparts. It then delves into cutting-edge analytics, including Categorized Beta for sensitivity analysis and Categorized VIX for precise volatility assessment. Traders will learn to quantify intrinsic volatility using the Coefficient of Variation (COV) and ensure data integrity by identifying outlier-free daily closing prices through the use of Z-scores. The book further enables them to uncover hidden market dynamics through comparative stock analysis using Skewness and Kurtosis and to mitigate risk effectively with Correlation Matrices and Coefficients. This book also equips traders with a Market-driven Regression model for robust back-testing and demonstrates how Scatter Plots reveal crucial linear and nonlinear market trends. Finally, it explores the innovative Nonlinear Stochastic-cum-RSI composite, a powerful tool for identifying undervalued and overvalued conditions.
"Next-Level Trading" is an indispensable resource for ambitious traders ready to refine their skills, implement advanced data-intensive strategies, and achieve lasting success in the evolving financial landscape.
By Sid Som, MBA, MIM
Copyright July 2025
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