Built by traders who stopped trusting backtests.

Stefan Ciuca

Co-founder & Product

Designing systems that turn trading ideas into validated decisions.

Stefan has over 20 years of experience in product development across technology, finance, and consumer industries, leading teams and delivering products and services globally. His work has consistently focused on improving systems, processes, and outcomes with a strong emphasis on measurable results. Alongside his professional experience, he has been actively trading for over a decade. Through that, he identified a fundamental gap: while technical analysis tools are widely available, there is very little to support proper statistical validation or to help traders understand whether a strategy is actually robust. At Edgecraft, he leads market research and statistical analysis, applying his background in statistics to evaluate and optimise trading strategies through backtesting, with these insights directly shaping the development of Edgecraft's trading intelligence platform.

Why Edgecraft: "Trading shouldn't rely on assumptions. I wanted a way to quickly understand whether a strategy is actually valid before risking real capital."

Andrei Nadejde

Co-founder & Engineering

Building the systems that make strategy intelligence possible.

Andrei brings over 25 years of engineering experience, including senior leadership roles and building multiple product startups from the ground up. He has been deeply involved in blockchain and distributed systems since their early days, contributing to multiple ecosystems and working at the intersection of crypto and AI, most recently within the Bittensor network. His work spans large-scale infrastructure, machine learning systems, and security, including identifying and responsibly disclosing critical vulnerabilities in blockchain protocols. At Edgecraft, he leads the development of the core engine that enables realistic simulation, deep analysis, and scalable strategy evaluation.

Why Edgecraft: "Most trading tools optimise for speed or surface-level outputs. We're building the infrastructure to understand what actually holds up in real conditions."

Umesh Chandra

Co-founder, Product & Engineering

Turning complex systems into clear, actionable decision tools.

Umesh has spent over a decade building and scaling products across startups and enterprise environments, working across engineering, product, and system design. His focus has been on creating scalable, secure systems that transform complex, manual workflows into reliable and repeatable processes. With a strong foundation in data-driven thinking, he naturally approached trading as a system rather than isolated strategies. However, when applying this to real capital, he encountered a critical limitation: existing tools made it easy to generate backtests, but difficult to understand strategy behaviour, risk, and long-term robustness. At Edgecraft, he leads product direction, building systems that combine rigorous statistical analysis with intuitive user experience to help traders turn raw data into meaningful insights and move from intuition to evidence-based decisions.

Why Edgecraft: "Understanding a strategy shouldn't require building your own infrastructure. It should be clear, actionable, and grounded in reality."