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EmidLabs — Quant Trading Infra
Backtesting & live execution infra for AI trading agents
EmidLabs is backtesting and live-execution infrastructure you plug into instead of building yourself. Define strategies as a JSON DSL small enough for an AI to generate safely, run them server-side in ~260ms for 5 years of data, then subscribe validated ones to live markets. Three MCP servers connect Claude, ChatGPT, or any agent directly — no SDK, no self-hosted bot, no environment to stand up.
FREE BETA ACCESS FOR PRODUCT HUNT 🎉
Sign up at console.emidlabs.com, then email [email protected] with code PRODUCTHUNT and the address you signed up with — I'll activate it myself (still a one-person show here, so it's manual for now).
Hey Product Hunt! 👋
I'm a solo founder, and I built EmidLabs because every existing option for backtesting and running a trading strategy either meant standing up your own environment (self-hosting a bot, writing everything in raw Python) or committing to a full platform with its own IDE and workflow. I wanted something you could just plug into — like a lab that's already built, not one you have to assemble first.
The core bet: strategies as a small, structured JSON DSL — restricted enough that an LLM can generate one safely, but expressive enough for real indicators, conditions, and risk rules. That same DSL runs through both the Backtesting API (server-side, ~260ms for 5 years of data) and the Live Execution API, so a strategy that backtests well can go live with zero rewriting.
The part I'm most excited about is the MCP layer: three scoped servers (backtest, live, strategy) that let you connect Claude, ChatGPT, or any MCP-compatible agent straight to the infra — describe a strategy in plain language, backtest it, and put it live, no code required. That opened the door to traders who aren't developers, which wasn't the original plan but turned out to be the most interesting audience.
Would love feedback, especially from anyone who's fought with self-hosted bots or overfit backtests before — that pain is exactly what this is built to remove.
About EmidLabs — Quant Trading Infra on Product Hunt
“Backtesting & live execution infra for AI trading agents”
EmidLabs — Quant Trading Infra was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #97 on the daily leaderboard. EmidLabs is backtesting and live-execution infrastructure you plug into instead of building yourself. Define strategies as a JSON DSL small enough for an AI to generate safely, run them server-side in ~260ms for 5 years of data, then subscribe validated ones to live markets. Three MCP servers connect Claude, ChatGPT, or any agent directly — no SDK, no self-hosted bot, no environment to stand up.
On the analytics side, EmidLabs — Quant Trading Infra competes within Fintech, Crypto and Artificial Intelligence — topics that collectively have 564.4k followers on Product Hunt. The dashboard above tracks how EmidLabs — Quant Trading Infra performed against the three products that launched closest to it on the same day.
Who hunted EmidLabs — Quant Trading Infra?
EmidLabs — Quant Trading Infra was hunted by Samuel Emidio. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of EmidLabs — Quant Trading Infra including community comment highlights and product details, visit the product overview.
Samuel Emidio