Jester

JESTER is in a multi-billion dollar category. We have the algorithmic and quantitative trading harness that controls compute, agents, risk, strategy, and execution. Oh, and it can do all of it autonomously.

While building the new @JestTech AI trade planner, I stumbled into a new way to display market data. Most trading interfaces split apart. You have the price chart, order book, recent trades, volume indicators. In fact, the OG jester indicators were based around the idea of simulating as much of this data onto a candlestick chart as possible. Otherwise the trader has to mentally stitch it all back together. I may have found a way to do the opposite. Past resolution, present execution flow, and forward-looking liquidity, normalized into one visual field around price. Not an indicator, and not utilizing any classic charts of any kind. The fun part is it displays it in a much simpler way, but it also includes significantly more data then is displayed normally on a single trading page. Just need a name for it... Left out the main visual until it's "complete"...

70% of @JestTech terminal fees (we might boost that to 90+% in the futurel go to buybacks and dispersals to our users... And that was planned years ago, before this meta started.

Yes, this means that your agent can run fully autonomous loops, designing or building from scratch, backtesting, optimization, and deployment. Without you having to babysit it every five minute.

This is why @JestTech exists. There is no reason to be dumping raw data into Claude when you you can trading and compute purposes offload so much of the compute and mathematics to a cheaper app. The future is sideloading agents into existing data and pipelines.

By its nature it's computationally heavy. But that's why we've built out the system using instances. We can boot up as many "slave" machines (precursor to user nodes) as we need that do nothing but backtest and participate in machine learning runs. At first, the models will be selectable filters, but as we add more rigs we will be expanding to allowing most users access to this (tiers and high volume users will have higher limits).

That's the plan with @JestTech. Full quantative and algorithmic framework. Manual trading, systematic trading, MCP and agentic trading. Offload the number crunching and all the compute to reduce token costs.

@Dreamcash coming to @JestTech. And let's just say, the very fact we can just straight up support them via hip3 is a testament to how strong @HyperliquidX is as a platform.

Get used to it.

You haven't yet grasped what happens when this volume 2-5-10-100X's... jester

In short, the $jest master plan is: 1. Turn markets into fees 2. Turn fees into buybacks 3. Turn buybacks into users 4. Repeat ⚜️ Don’t tell.

To add onto this—one of the reasons @JestTech hasn’t released private automation yet (soon, I promise, I'm actively working on porting both Oracle and Monarch tech into a Frankenstein of user trading) is because of things exactly like this. It has to be done right, and by that I mean trustless, clean, and secure. It’s cool if you trust the team. But you should never be required to. Not in this space. Not anymore. It’s 2025, code is king. That’s the wholepoint of smart contracts. And me? I trust no one. Yes I’m bitter, and yes I'm a bit cynical, but it's because I’ve been here long enough to know. If your setup breaks without manual oversight, or if users are expected to “just believe” everything is working behind the scenes, then you’re not building trustless tech. And people are sick of watching it collapse over and over again. We want users to feel safe, so we are building towards something that doesn’t require faith, it simply works.