EnsoTrade

Quick context: I'm a solo dev. The data that actually explains why crypto moves, live order flow, dealer gamma, funding, open interest, sits behind either a Bloomberg Terminal (about $24k/year) or Coinglass plans that climb to $699/month. I couldn't justify either, so I kept trading on candles while the move had already happened in the order book.

So I built EnsoTrade: Level-2 order flow, dealer gamma, an options vol surface, funding and on-chain data in one browser cockpit, with a multi-agent AI that reads it all back in plain English. Free to start, $29.99/mo for Pro, and a public data API + MCP server so AI agents can query and cite it too.

What's actually in it:

- Wall Distance Edge: reads the order book at ms scale, flags real walls (absorbing, refilling) vs spoofed ones (pulled the second price gets close)

- Dealer gamma as a vol-regime gauge, validated 6 years out-of-sample (direction was dead, vol-suppression was real, so I only ship what held up)

- A 28-feature per-symbol model, walk-forward validated, retuning every 30 minutes

- An AI synthesis layer that says which signal is load-bearing right now instead of dumping more indicators on you

Where I'm at: early, bootstrapped, funded by nothing but time. Strong on the engineering and microstructure side, still learning distribution, I've pivoted the go-to-market more times than I'd like to admit.

If you trade crypto derivatives, I'd genuinely value brutal feedback: does this solve a real problem for you, what's missing, would you actually use it daily. Free trial, no card: ensotrade.tech

Happy to go deep on the math or the architecture in the comments.