Verified usage · updated with the leaderboard · as of Nov 10, 2026

AI trading apps on Hyperliquid, by real usage

Which AI apps that trade Hyperliquid for you actually leave users in profit: users, volume and realized PnL, read from every public builder-code fill.

9AI trading apps tracked
1,503users in 30 days
$391.9Mtraded through their builder codes
3 of 9apps whose users lost money overall

Senpi, Minara, DXAP, Wayfinder and other apps that trade for you with AI, compared on what actually happened: how many people used them, how much they traded and whether those users made money, read from every fill Hyperliquid published between Oct 11, 2026 and Nov 9, 2026.

All apps compared

Sorted by volume; this is not a ranking of skill. Users' realized PnL is the sum of closed PnL on the app's fills, before exchange fees; open positions aren't included.

AppUsersVolume, 30 daysUsers' realized PnLUsers in profitMedian user
tread.fi
AI agents (beta), market maker and delta-neutral bots, algo and manual orders
259$374.8M$23k19%−$6.05
TrueNorth
not clearly stated on its site
238$6.3M−$20954%$0.07
DXAP
autonomous agent, steered by chat
227$4.8M$25k48%−$0.21
Senpi
autonomous strategies and manual or copy trades
715$3.4M−$1,09447%−$0.09
Wayfinder
agent trades on request; automated strategies
18$1.9M$1,50856%$0.16
Katoshi
bots from alerts, webhooks or AI agents, plus a manual terminal
15$578k−$33242%−$6.88
Midas
copilot: AI suggests, the user taps to trade
20$30k$46460%$0.02
Minara AI
autopilot, AI copilot and manual orders
8$6,705$6375%$5.90
Starchild
copilot: orders from chat instructions
3$2,903$25100%$12.48

Each app's numbers

tread.fi

259 users traded $374.8M through tread.fi's builder code between Oct 11, 2026 and Nov 9, 2026. Their realized PnL on those fills was $23k; 19% of users with closed trades were in profit and the median user made −$6.05. The app earned $29k in builder fees on these fills.

How it trades, by its own description: AI agents (beta), market maker and delta-neutral bots, algo and manual orders. Source.

Builder address 0x999a4b5f268a8fbf33736feff360d462ad248dbf, from DeFiLlama's open-source dexs/treadfi-perps.ts adapter.

TrueNorth

238 users traded $6.3M through TrueNorth's builder code between Oct 11, 2026 and Nov 9, 2026. Their realized PnL on those fills was −$209; 54% of users with closed trades were in profit and the median user made $0.07. No builder fee was charged on these fills.

How it trades, by its own description: not clearly stated on its site. Source.

Builder address 0x30599f69164b854a2c10ada95e5cd219b72d5216, from DeFiLlama's open-source factory/hyperliquid.ts adapter.

DXAP

227 users traded $4.8M through DXAP's builder code between Oct 11, 2026 and Nov 9, 2026. Their realized PnL on those fills was $25k; 48% of users with closed trades were in profit and the median user made −$0.21. The app earned $1,190 in builder fees on these fills.

How it trades, by its own description: autonomous agent, steered by chat. Source.

Builder address 0x5803667556f289ae854c914e59a2395b75c8aa24, from its own docs or code.

Senpi

715 users traded $3.4M through Senpi's builder code between Oct 11, 2026 and Nov 9, 2026. Their realized PnL on those fills was −$1,094; 47% of users with closed trades were in profit and the median user made −$0.09. The app earned $912 in builder fees on these fills.

How it trades, by its own description: autonomous strategies and manual or copy trades. Source.

Builder address 0x1368f4311db5807f7c7924d736adaeb83e47bafe, from DeFiLlama's open-source factory/hyperliquid.ts adapter.

Wayfinder

18 users traded $1.9M through Wayfinder's builder code between Oct 11, 2026 and Nov 9, 2026. Their realized PnL on those fills was $1,508; 56% of users with closed trades were in profit and the median user made $0.16. The app earned $887 in builder fees on these fills.

How it trades, by its own description: agent trades on request; automated strategies. Source.

Builder address 0xaa1d89f333857ed78f8434cc4f896a9293efe65c, from its own docs or code.

Katoshi

15 users traded $578k through Katoshi's builder code between Oct 11, 2026 and Nov 9, 2026. Their realized PnL on those fills was −$332; 42% of users with closed trades were in profit and the median user made −$6.88. The app earned $115 in builder fees on these fills.

How it trades, by its own description: bots from alerts, webhooks or AI agents, plus a manual terminal. Source.

Builder address 0x274e3cdb7bdc4805f41a07e3348243ba3e7e5b72, from DeFiLlama's open-source factory/hyperliquid.ts adapter.

Midas

20 users traded $30k through Midas's builder code between Oct 11, 2026 and Nov 9, 2026. Their realized PnL on those fills was $464; 60% of users with closed trades were in profit and the median user made $0.02. The app earned $15 in builder fees on these fills.

How it trades, by its own description: copilot: AI suggests, the user taps to trade. Source.

Builder address 0x990a91cb54c6db7037d3f8105e848c635d4d909f, from DeFiLlama's open-source factory/hyperliquid.ts adapter.

Minara AI

8 users traded $6,705 through Minara AI's builder code between Oct 11, 2026 and Nov 9, 2026. Their realized PnL on those fills was $63; 75% of users with closed trades were in profit and the median user made $5.90. The app earned $1 in builder fees on these fills.

How it trades, by its own description: autopilot, AI copilot and manual orders. Source.

Builder address 0x5a3bc60b0a99a7f4fbf0d15554fa5fe88e7628c2, from DeFiLlama's open-source dexs/minaraai-perps.ts adapter.

Starchild

3 users traded $2,903 through Starchild's builder code between Oct 11, 2026 and Nov 9, 2026. Their realized PnL on those fills was $25; 100% of users with closed trades were in profit and the median user made $12.48. The app earned $1 in builder fees on these fills.

How it trades, by its own description: copilot: orders from chat instructions. Source.

Builder address 0x2c5320f40305ffc933385c6dcec5493fba7b98b8, from its own docs or code.

Not included: Signalview (operator and AI claim not confirmed); AlphaPilot (not confirmed to be the same app as the AI product of that name); Sendai (matched by name only). An app is listed only when its own site or code says it runs AI agents or an AI copilot for users, and its builder address comes from its own docs or code or DeFiLlama's open-source adapters.

Each app's page

Read these numbers right

Only tagged fills count

Trades sent another way, or on plans that don't add the builder code, are missed, so an app's real usage can be higher.

Users, not the AI

Apps mix autopilot, copilot and manual orders. These numbers show how users did with the app, not how the AI alone did.

Before exchange fees

Realized PnL comes from closing fills and is before Hyperliquid's trading fees and funding, so the real result is a little worse.

30 days is short

One month says little about skill. Watch the trend on the leaderboard, which updates with every data refresh.

FAQ

What is a Hyperliquid builder code?

A builder code is an address an app attaches to the orders it sends to Hyperliquid so it can charge a small fee. Hyperliquid publishes every fill that carried a builder code, which is how we can count each app's users, volume and results.

Do people make money with AI trading apps on Hyperliquid?

Over the last 30 days, users of 3 of the 9 apps we track lost money overall. Their combined realized PnL was $48k on $391.9M traded. In most apps fewer than half the users were in profit.

Does a profit or loss here mean the AI made that trade?

Not always. Several of these apps mix autopilot, copilot suggestions and manual orders, and the public fills don't say which was which. The numbers show how the app's users did, not how its AI did.

Why is an app I use missing?

Either we couldn't confirm its builder address from its own docs, code or DeFiLlama's open-source adapters, or its own site doesn't say it runs AI for users. Send it to us with the source.

Open data: AI trading apps on Hyperliquid (JSON). Also see do AI trading bots make money? and the Hyperliquid listing. No affiliate links on this page. Not financial advice. Hyperliquid's terms restrict US and Ontario (Canada) users.

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