About the author

Fractiz is a project and publishing identity created by Anup Shinde to explore markets, models, and the dynamics of time. He is a machine learning engineer, data analyst, software engineer and independent trader with over two decades of experience in software development and applied data science.

Anup has worked on everything from terminal applications, desktop applications, game development, SaaS applications, and pre-LLM machine learning to algorithmic trading systems. His focus lies at the intersection of code, data, and decision-making. He has designed and backtested trading strategies, built execution frameworks, and worked closely with quantitative researchers. He is a funded trader and is recognized for his risk-managed approach to futures trading.

With a background in computer science and certifications in deep learning and neural networks, Anup blends engineering depth with an analytical mindset. He’s known for his curiosity, attention to detail, and willingness to question assumptions—traits that shape his work on Fractiz, where he explores patterns, probabilities, and market behavior through a data-first lens.

While the work here draws from Anup’s personal experience, the name "Fractiz" allows the project to stand independently and evolve, possibly with contributions from other like-minded thinkers.

You can learn more about his experience on LinkedIn or his prior Blog.