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.
Retail traders fail at the gap between "this looks good in a sheet" and "this is running on real money." Anything that closes that gap fast is going to print.
The plain English strategy input is the right UX call, most backtesting tools make you learn their DSL before you can even test if your idea is worth anything. Curious how you're handling strategy overfitting when users describe vague conditions — does Mobius add any guardrails there?"
The backtesting part is what makes this interesting. Most trading bots usually just follow trends. How much control do I actually have over the backtesting parameters? For example, can I force it to test against specific historical volatility events like flash crashes, or do I need to specify something else for that?
Hey PH! I'm Bhargava, one of the founders of Mobius.
One thing I kept running into as a retail trader was that the idea was never the hard part. Turning it into something that actually runs in the market was the real issue.
But with Mobius, You describe your strategy in plain English, and we handle the rest. Backtesting, screening, researching, and live trading Mobius handles the whole loop, in one place, in minutes.
We're live today. Excited to hear what you'd build first.
Finally, someone making the Pelosi-tracking actually actionable. I’ve been trying to scrape those filings manually, but the lag usually kills the trade. If this can automate the entry the second the data hits, it’s a massive win. @dheeraj_t
Knows nothing about trading, but maybe it would feels better if you can track what user have inputed in the landing page in localStorage, and if user decide to register, it will carries to the dashboard as sketch.
Launching together today makes Product Hunt even more fun. Really loved what you built it instantly caught my attention.
Always happy to support fellow makers, and would love to support each other. Wishing you an amazing launch 🚀
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.
Mobius was featured in Fintech (46.9k followers), Artificial Intelligence (468.5k followers) and Vercel Day (9 followers) on Product Hunt. Together, these topics include over 109.1k products, making this a competitive space to launch in.
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.
Want to see how Mobius stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Dheeraj Tallapragada