V

HL Biased
@senpi_ai

[Senpi @senpi_ai]

https://t.co/HGhTLLE94J

[Senpi @senpi_ai]

Build a $HYPE Strategy with AI. Hyperliquid.

[Senpi @senpi_ai]

55% of Senpi users trading on Hyperliquid turned a profit over the past 24 hours. 🥷🏽
Congrats to everyone executioning their edge. Hyperliquid.

[Senpi @senpi_ai]

https://t.co/OwbFVg8ACu

[Senpi @senpi_ai]

https://t.co/AJtGjz4jh5

[Senpi @senpi_ai]

Thanks to Samurai Pro efficiency, the minimum budget to open a strategy on Senpi just dropped from 100 → 10 USDC. Test faster, start easier. 🥷

[Senpi @senpi_ai]

Build a hedge fund strategy with your Senpi team. 🥷🥷

No suits. Just agents that don't sleep.

Start from a template or create your own from scratch.

[Senpi @senpi_ai]

https://t.co/7SzGy4PL6s

[Senpi @senpi_ai]

Now it's Senpi Samurai Pro. ⚔️ 10x faster. 8x smarter. Your edge, automated. 🥷 A week ago, this was impossible.

Scan. Summarize. Define. Evaluate. Execute.

[Senpi @senpi_ai]

Your personal elite trading team 🥷🥷🥷
Powered by Senpi Samurai Pro.🥷 Hyperliquid.

[V @v_striv]

RT @senpi_ai: What happens when everyday traders get the power of an elite quant desk? 🥷🥷🥷

🥷In Samurai PRO’s first 24 hours, users launche…

[Senpi @senpi_ai]

https://t.co/HiHSz9N0Nf

[Senpi @senpi_ai]

https://t.co/lPXNw4HEAq

[Senpi @senpi_ai]

Your first trading agent is on us.
$25 AI credit to power it. Live now for new users.
Hyperliquid.

[Senpi @senpi_ai]

Senpi's strategies:

Over the last 24h, opens were led by spider-swing, then rhino-escalation and hyena.
~15% from Custom strategies users built themselves.
Deploy a proven one, or craft your own.

[Senpi @senpi_ai]

The Samurai is leaning long. ⚔️
~64% of positions opened in the last 24h were long vs ~36% short - a ~1.7 : 1 tilt.

Senpi runs your strategy while you sleep.

[Henrik @Henrik_on_HL]

In a recent interview with VALR, Jeff said he doesn’t focus on traditional key metrics.

> Because Hyperliquid’s vision is so novel, he pays more attention to qualitative signals, arguing that when you’re building things that don’t exist yet, conventional metrics often fail to capture real progress.

> The goal is achieving true 0-to-1 improvements rather than optimizing existing benchmarks.

> HIP-3 is the best example for that.

[V @v_striv]

Testing 🐉 Hydra Strategy From @senpi_ai

Core: Long $hype conviction
Dip: Tactical dip presses on pullbacks
Hedge: Short basket of breaking assets

[Tobias Reisner @reisnertobias]

Just launch on Hyperliquid

[Jason Goldberg @betashop]

The @senpi_ai flywheel is spinning 🏎️

in just 3 days:

→ 6,000 Hyperliquid Agents deployed
→ 3,133 agents actively querying the market, learning loops activated
→ 2B+ tokens consumed
→ 230 launched live trading strategies

…and we're off to the races.