This release is all about making the product more useful in real trading workflows, from AI research and Python strategy generation to backtesting, tuning, and live execution.
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.
We just wrapped the Orbit Awards for AI Dictation and now we re moving to the next category: AI Automation.
This one is for the tools that actually do work for you clearing chores, running workflows in the background, or quietly taking over a chunk of your week without turning into another dashboard you have to babysit.
