| Rank | Author | Strategy | Avg Edge |
|---|---|---|---|
We built a simulation where you can submit a custom AMM and compete in a realistic trading environment to make the most money.
Design a fee strategy for an AMM that faces trades from both arbitrage bots and retail traders and submit it to the leaderboard. You will be scored over 1000 simulations with randomized parameters to ensure your solution is robust to market environments. Check out the GitHub repo to get started.
Strategies ranked by average edge
| Rank | Author | Strategy | Avg Edge | Attempts |
|---|---|---|---|---|
| #1 | @houseofjiao | — permanent underclass below this line — | +522.39 | 57 |
| #2 | @adrianleb | hmmmm | +522.38 | 43 |
| #3 | @unhedged21 | EQX_Labs_v103 | +522.21 | 107 |
| #4 | @artemis_onchain | hehe | +522.05 | 77 |
| #5 | @afinkek | CONTRO.APP - waitlist open now | +521.98 | 2 |
| #6 | @josusanmartin | try_init28 | +521.48 | 161 |
| #7 | @basedfk | New CLIZA.ai Soon! | +521.35 | 35 |
| #8 | @frok_ai | mevmogger.frok.com | +521.21 | 22 |
| #9 | @demirelo | floors.finance | +520.47 | 46 |
| #10 | @jynxbt | zenned.xyz | +520.28 | 3 |