We just pushed v0.4.4.
The strategy builder has been opened up even more, and you can control it all directly through the MCP chat. Get as detailed as you want, or keep it simple. The LLM has control over the most minute details, down to the last slider or input in our strategy builder.
We also bundled a bunch of other fixes, UI improvements, onboarding fixes, and flow changes into this patch.
Next step: Autonomous Agent Mesh.
We just pushed patch v0.4.0. One of the most noteworthy patches to date. Why? MCP support.
You can now chat with JESTER in natural language. Everything you can do in the UI, you can do via MCP. We support Claude, Grok, chatGPT, deepseek, and most other major models - with your own API keys.
Talk to Jester in Telegram /ai or the Mini App Agent. Pull backtests, run new ones, manage automation, copy leaders, even build strategies in plain English.
v0.4.0 also ships a pile of UX and reliability improvements under the hood.
And remember.
This is just the beginning.
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).
Manual trading with $JEST is incredibly easy! Multiple platforms, multiple indicators, multiple strategies, and all parameters are customizable... Here's how I add 3 trades in 3 minutes...
thanks @JestTech !
Dropping into Beta this week.
Jester Agent (MCP) is an AI copilot built into Jester that runs on your own LLM API key (OpenAI, Anthropic, Gemini, Grok, DeepSeek, and more).
From the Mini App Agent tab or a private Telegram /ai prompt, you can ask to review positions and risk, discover whatโs popular or performing in the catalog, run backtests, draft and test Strategy Builder programs, and take the same actions youโd do in the app (trades, automation, settings).
Itโs Jesterโs trading stack in plain English: research, experiment, and operate without clicking through every screen.
It will also be fully integrated into our Chartographer charting package, which allows true native control of charts via AI agents and models.
This is the first step to true Agent automation via Moltbot, Hermes, and others.
Today's update fixed some more styling problems, onboarding/login issues, optimization confusion, and continued to built out the browser app, ML routes, MCP toolkit, and agentic flow.
Jester agent?
This is your reminder that @JestTech has taken so long because it was never supposed to become a full terminal solution.
My initial goal was very simple: build a great trading strategy/signal engine, plug it into partners via API, and scale from there. I even spent about 10 months over the past two years on Jester v3 before pivoting to a full execution engine.
But partners kept going under, I got tired of waiting for some, and the community wanted more and more features.
So now we have a terminal, a TG bot, a large catalogue of strategies, and custom charts built from the ground up for MCP/agent use.
Without Hyperliquid, this would not have been as straightforward as it has been.
@Shaughnessy119 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.
We intend for our beta to be as short as possible. And we are going to accomplish that by patching as fast as possible when issues appear.
So on that note; just pushed the first post-Beta update.
https://t.co/0U38maVKxn
BETA live now.
https://t.co/8RJrAKAIte
We are nearing feature complete. The next two weeks is a sprint. For what? Strategy tuning, UI completion, bug fixing, and ML model filtering, AND MCP support.
We begin pushing.
Now.
Weโll soon be ending Sceptre.
Why?
It's just JESTER.
Cleaner for the product, the vision, and the users.
No more making people learn 5 different names before they understand what we do.
JESTER is the terminal, the bot, the automation layer, the strategy engine, the ML/ranking layer, and the ecosystem.
One machine.
One platform.
One brand.