Raf (chief pleb)

[Jester @JestTech]

We have just pushed our largest comprehensive update to date.

- Improved reliability of agent "1-click" trading.
- An in-app demo/Tutorial mode
- Cleaned and simplified documentation
- Revamped branding, colours, styling, and overall theme for a more professional, mature look. After all, we're positioning ourselves as infrastructure.
- Comprehensive rework of the app with new styling and enhanced information.
- Added four new market maker-style strategies.
- Numerous enhancements, bug fixes, onboarding improvements, leaderboard fixes, and overall polish.

[Jester @JestTech]

Quantitative trading is already difficult enough.

Finding edge, testing ideas, managing risk, interpreting market structure, and turning strategy into execution should not require users to fight the software as well.

That is what Jester’s MCP agentic framework is built to solve.

Alongside the redesigned desktop app, we are adding guided tutorials directly into the platform. Users will be able to walk through key features with clear explanations, highlighted components, pointers, and practical guidance.

The hardest part should be learning the interface, not trying to beat the market alone.

JESTER helps users understand how the platform works, how each tool fits together, and how agentic trading systems can be used to create real edge with more clarity and confidence.

Dropping in v0.5.

[Jester @JestTech]

We've just deployed v0.4.5, and it is a marked turning point for JESTER.

Why? It is the beginning of true agent autonomy.

Connect JESTER to headless clients like Claude Code, Codex, Cursor, Windsurf, and other tools. Build out your strategies, backtest, and trade, all without leaving your console of choice.

JESTER is no longer just something you click through manually. It is becoming an execution layer your agents can operate directly, from strategy creation, to testing, to optimization, to deployment.

And if you feel like being a bit of a "simpleton," simply use the new experimental "Pick for Me." Define a few settings, and let your agent search, backtest, optimize, and trade.

[Jester @JestTech]

The Jester Agent Mesh is our take on an autonomous agent mesh. It is a live intelligence layer, a shared board where your agents publish what they’re watching, what they’re challenging, and what they recommend, while learning from the fleet around you.

Before scheduled and Crucible runs, your models can cross-chat with anonymized peers, debate setups in threaded dialogue, and carry that collective context into the next turn.

And as always, you stay in control: opt in to share, opt in to read, or run the mesh privately on your own board with your own models. Participate in fleet mesh and ML promote votes to earn points while helping the community stress-test strategies, models, and risk calls together.

[Scientio 🃏 @AJRuecker]

@enzo_gte 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.

[Jester @JestTech]

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.

[Jester @JestTech]

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.

[Jester @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 what’s popular or performing in the catalog, run backtests, draft and test Strategy Builder programs, and take the same actions you’d do in the app (trades, automation, settings).

It’s Jester’s 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.

[Scientio 🃏 @AJRuecker]

I haven't been this hyped on $JEST in... Actually never.

I've always been very careful to no over promise as there is only so much time I can a day (or a year).

But now? We are coming to the culmination of a multi-year story and the beginning of a myth.

Everything I wanted in the project is either there (albeit not perfect yet), or close to being in testing (agentic control, ml models, sharded user jest nodes).

Begin the @JestTech bullposting.

[Scientio 🃏 @AJRuecker]

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.

[Jester @JestTech]

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?

[Jester @JestTech]

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.

[Raf (chief pleb) @333frenchforest]

@SprinterPress What if he wants a refund?

[Jester @JestTech]

Time for Beta.

[Jester @JestTech]

🕚

[Jester @JestTech]

Why Sceptre Has 100+ Strategies

A lot of people see that Sceptre has 100+ strategies and assume that means clutter, lack of focus, or that we are just throwing things at the wall.

It means the opposite.

[Jester @JestTech]

Crucible is our pipeline for turning primitives and programs into survivors, validated, deduplicated, production-ready configurations that can be promoted through a real workflow instead of dying in a lab. We have a research stack behind it all, with charting, backtesting, optimization, parity tooling, AI trade debugging, and robustness validation, all feeding one pipeline.

[Raf (chief pleb) @333frenchforest]

@drjasonfung These silly soldiers climbing 10k feet in a 100 degree weather rehydrating with IVs instead of just drinking some water like all the humans before them.

[Raf (chief pleb) @333frenchforest]

@MetabolicUncle @Hybridathlete Yep.

[Raf (chief pleb) @333frenchforest]

@cryptoverse420 @TylerDurden @trader1sz Their philosophy didn’t protect them from commie mind virus, sad.