The landscape of retail trading is shifting. We are moving away from static "if-then" strategies toward dynamic, autonomous systems. I firmly believe that by 2026, a personal, evolving AI trading agent won't just be a luxury it will be a baseline requirement to stay competitive in any market.
For the past year, I ve been obsessed with this transition. I wanted to move beyond simple bots and build a system that can actually "think" through market regimes. Today, I m open-sourcing the result: QuantDinger.
QuantDinger is an open‑source, locally deployable quantitative trading workspace. It brings together data management, strategy backtesting, execution tools, and optional AI‑assisted research — all on your own infrastructure. Designed for privacy, flexibility, and experimentation.
