An interactive visual companion for the AMM Fee Strategy Challenge.
The AMM Challenge is a great way to learn dynamic fee strategy design, but it can be hard to build intuition from raw simulation outputs alone.
You can write a strategy, run a simulation, and get a score, but that still leaves an important question:
What is my code actually doing at each trade, and why?
This tool was built to answer that question visually.
AMM Strategy Visualizer lets you step through AMM market activity trade-by-trade while seeing strategy behavior in context:
- Strategy code on the left
- Market simulation on the right
- Explanations that connect runtime behavior back to code
It mirrors core AMMchallenge mechanics (constant product market making, fair-price evolution, arbitrage pressure, and retail routing against a normalizer pool) so you can debug strategy ideas faster.
- Side-by-side strategy and market view
- Step / Play / Pause / Reset simulation controls
- Trade tape with per-trade event history
- Reserve curve chart with auto-zoom support
- Per-pool depth view (Strategy vs Normalizer)
- Built-in starter strategies
- Custom Solidity strategy editor and compile flow
- Local custom strategy library (persisted in browser)
- "What the code is doing" explanation panel
- Light and dark themes
- Build intuition faster than reading logs
- Debug fee logic branch-by-branch
- Understand tradeoffs between retail flow capture and arbitrage loss
- Compare fixed-fee and adaptive strategies visually
- Iterate quickly before submitting to the AMMchallenge
If you're learning AMM strategy design (or teaching it), this gives a much clearer feedback loop than score-only iteration.
- Next.js App Router + TypeScript frontend
- Client-side simulation worker runtime
- In-browser custom strategy compile/runtime path
- No login required
- No backend service required for core use
Clone the repo, then:
npm install
npm run devOpen http://localhost:3000.
Useful scripts:
npm run build # production build
npm run test # run vitest suite
npm run lint # lint checksNote: custom strategy compilation relies on a local soljson asset that is synced automatically via project scripts.