Describe a trade and Mobius builds, backtests, and runs it
Retail traders are stuck between no-code tools that can't flex and quant stacks that take weeks to set up. The idea is fast. The execution isn't. Mobius turns plain-English strategies into deployed trading bots backtested on real market data, running on alternative signals like congressional trades, dark pools, and Reddit sentiment. No code, no context switching, no alpha decay. Strategy. Backtest. Live. In minutes.
Hey everyone, my name is Dheeraj and I'm excited to finally share Mobius with you all!
But first, a little backstory. I managed my own retail portfolio for years, and the frustrating part was never coming up with ideas. It was the gap between having one and actually doing something with it.
You know the drill. Write the strategy somewhere. Open a backtesting environment. Hunt down the data sources that actually move markets (congressional trades, dark pool activity, macro signals) and figure out how to pipe them in. Wire it to a broker. By the time you've done all that, the edge is gone.
That wall is exactly what Mobius came out of. Describe your strategy in plain English: "buy when RSI drops below 30 and congressional buy activity is elevated." Mobius deploys an agent to backtest it bar-by-bar, pull the alt data automatically, and execute via Alpaca. The whole loop, in one place.
And it turns out we weren't alone. Across 15 discovery calls, 100% of traders cited execution speed as the core problem. Almost everyone hit the same second wall too: the signals that actually move markets were locked behind pipelines they couldn't build.
Mobius removes both.
We built the platform we always wanted to use. Would love to know what strategy you'd run first.
About Mobius on Product Hunt
“Describe a trade and Mobius builds, backtests, and runs it”
Mobius launched on Product Hunt on May 15th, 2026 and earned 93 upvotes and 9 comments, placing #16 on the daily leaderboard. Retail traders are stuck between no-code tools that can't flex and quant stacks that take weeks to set up. The idea is fast. The execution isn't. Mobius turns plain-English strategies into deployed trading bots backtested on real market data, running on alternative signals like congressional trades, dark pools, and Reddit sentiment. No code, no context switching, no alpha decay. Strategy. Backtest. Live. In minutes.
On the analytics side, Mobius competes within Fintech, Artificial Intelligence and Vercel Day — topics that collectively have 515.5k followers on Product Hunt. The dashboard above tracks how Mobius performed against the three products that launched closest to it on the same day.
Who hunted Mobius?
Mobius was hunted by Dheeraj Tallapragada. 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 Mobius including community comment highlights and product details, visit the product overview.
Dheeraj Tallapragada