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AutoQuant
AI quant trading desk for backtesting and live trading
AutoQuant is an AI quant trading desk for stocks and options. The AI Loop iterates on your strategy code, backtests each version, and refines it until you have an edge. Then deploy live to your broker. All local, your data stays yours.
Hey Hunters, I'm Josh, the maker behind AutoQuant.
I built this because I kept hitting the same wall as a developer who trades. Existing platforms either lock you into their cloud (Composer, TrendSpider) or hand you a blank IDE and say good luck (QuantConnect, Lean). I wanted something that actually worked with me.
The AI Loop is the core idea. Tell it your trading thesis, let it iterate on the strategy code, backtest each version, and refine until you've got something with real edge. Then deploy live to your broker, all from your laptop. No cloud, no monthly seat fees, your data stays yours.
Today AutoQuant supports equity, options, and cross-sectional strategies. A visual Flow Builder ships soon too.
Would love your feedback, especially from anyone who's tried QC or Composer. What's been your biggest frustration?
About AutoQuant on Product Hunt
“AI quant trading desk for backtesting and live trading”
AutoQuant was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #66 on the daily leaderboard. AutoQuant is an AI quant trading desk for stocks and options. The AI Loop iterates on your strategy code, backtests each version, and refines it until you have an edge. Then deploy live to your broker. All local, your data stays yours.
On the analytics side, AutoQuant competes within Fintech, Investing and Artificial Intelligence — topics that collectively have 549.8k followers on Product Hunt. The dashboard above tracks how AutoQuant performed against the three products that launched closest to it on the same day.
Who hunted AutoQuant?
AutoQuant was hunted by Joshua Santiago. 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 AutoQuant including community comment highlights and product details, visit the product overview.