Is Jev doing the trading, or just filtering the social firehose?

Filtering only. Jev is optional preprocessing that screens StockTwits and Reddit posts for company relevance before the Sentiment Analyst reads them. The analysts, researchers, trader, risk team and portfolio manager are separate LLM agents carrying the decision.

Will it switch itself on and start sending my prompts to TypeSafe?

No. The screening stays off unless TYPESAFE_API_KEY is set. Without it the social sources run as they always did, and you can set TYPESAFE_DEFAULT_MODEL to pin jev-1.13.0 instead of tracking the moving jev-latest alias.

Does the backtest leak future information through this social feed?

The project claims point-in-time integrity across dated paths, with backtests that see only data published by each analysis date and past decisions settled per ticker while analysts work. Whether the Jev screen itself is free of look-ahead is not documented in the README.

If the screen drops posts, can I see which ones it removed?

You get stance counts over the survivors, not the dropped items. That is the point of the screen, but it also means a bad relevance judgment removes a post before any analyst sees it, and no per-post removal trace is documented.

What runtime and install path does it use?

Python 3.11 or later, installed with pip install . or run through Docker with docker compose run --rm tradingagents after copying .env.example to .env and adding API keys. Results, reports, the memory log and the cache live in the tradingagents_data volume unless TRADINGAGENTS_DATA_DIR points elsewhere.

Does it trade real money, and is this financial advice?

No. The Portfolio Manager's approved order goes to a simulated exchange, and the framework is explicitly designed for research purposes and not intended as financial or trading advice. Performance varies with the backbone models, temperature, trading period and data quality.

Which models does it ship with, and can managers and analysts differ?

From v0.6.0 a provider can be set per model tier, so managers and analysts can run on different models. Recent defaults include GPT-6 Sol and Luna, and the registry covers NVIDIA, Kimi, Groq, Mistral, Bedrock, DeepSeek, Qwen, GLM, Azure, and any OpenAI-compatible endpoint.

CommunityJev Tools & CLIs

TradingAgents

Multi-agent trading research with optional Jev screening of StockTwits and Reddit posts for company relevance before sentiment analysis runs.

See highlights

Open github.com

Stars: 110.5k
Language: Python
License: APACHE-2.0
Published by: Community
Author: TauricResearch
Last verified: Oct 2026

TauricResearch/TradingAgents

Organization repository on GitHub

View on GitHub

TradingAgents: Multi-Agents LLM Financial Trading Framework

Forks: 21.3k
Last pushed: Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

About this project

Deutsch | Español | français | 日本語 | 한국어 | Português | Русский | 中文. [2026-10] TradingAgents v0.6.0 released with reports saved as one HTML page, a provider per model tier so the managers and analysts can run on different models, past decisions settled for every ticker while the analysts work, and company news read from Yahoo search while Yahoo's news feed is down.

Quoted from the project's README. Read the full README.

Tagscommunity python trading agents

Works forJev for Moderation Jev for Classification

Used inJev for Finance & Fintech Jev for Software & DevTools

Languages: Python
Platforms: CLI
Capabilities: Open sourceRequires API key

Highlights

v0.5.1 README: optional Jev screening when TYPESAFE_API_KEY is set on social sources.
Irrelevant posts drop before the Sentiment Analyst reads them; stance counts summarize what remains.
TYPESAFE_DEFAULT_MODEL can pin jev-1.13.0 instead of the jev-latest alias.

Watch out

Jev is optional preprocessing for social feeds, not the core trading logic. Massive repo where most stars are for the agent framework, not Jev alone.

Questions about this entry

Short answers drawn from the linked project or page.

Reactions & coverage

Posts, threads, and videos about this entry from around the web.

X: $10,000 in Jev’s hands

YouTube: Nate Herk compares speed and cost against ordinary models, then builds an X feed classifier and a paper-trading prototype.

More Jev resources like this

DocJev

523

Classifies and splits PDFs, DOCX, and PPTX with local page text from LiteParse and category decisions from Jev.

Jev Tools & CLIs#community#python#document

Community

jerryjliu/docjevPython

jev-mail-classifier

An IMAP client that turns each inbox category into a Noul, then tags, moves, flags, or calls a webhook when the probability clears that category's threshold.

Jev Tools & CLIs#community#python#email

Community

parth-kp/jev-mail-classifierPython

Skill Scanner

2.6k

Cisco's security scanner for agent skills added a System One analyzer: it sends the full skill text to POST /v1/systemone as one advisory Noul question and records the probability, while being deliberately unable to emit a finding or change a severity.

Jev Tools & CLIs#community#security#agent-skills

Community

cisco-ai-defense/skill-scannerPython

pyGPT

A desktop AI assistant with a Jev / System One inline plugin for classification, routing, verification, and scoring without chat-style output.

Jev Tools & CLIs#community#python#desktop

Community

szczyglis-dev/py-gptPython

GUI JEV Harness

Python harness for GUI grounding: it divides a screenshot into grid tiles, has a vision model describe each tile neutrally, then asks typesafe-ai/jev to choose among the descriptions. Local confidence and margin gates decide whether to descend or refuse, and it emits only a point and bounding box.

Jev Tools & CLIs#community#gui-grounding#computer-use

Community

ZihuaEvan/GUI_JEVPython

ask-jev

Zero-dependency Python CLI that routes small semantic judgments to Jev for agents and CLI pipelines: choose (Choice), check (Noul), score (ordered ratings), batch (1-32 questions in one request) and purify (verbatim passage extraction). GPL-3.0 licensed.

Jev Tools & CLIs#community#cli#decision-routing

Community

logicrw/ask-jevPython

From the Jev guides

Original write-ups on what this entry is for.

Jev on the Gateways: Vercel, Workers AI, and OpenRouter

Oct 12, 2026

The request shape barely changes across surfaces; the surrounding contract does. When to call the API directly and when a gateway, a Worker binding, or a router entry earns its extra hop.

Jev Tools & CLIs#gateway#vercel#cloudflare

Read article

Exporting Decision Models: GGUF, ONNX, and Device Runtimes

Oct 10, 2026

Taking a decision checkpoint out of Python: what the GGUF and browser WebGPU exports preserve, what they change, and the parity evidence the model cards publish.

Jev Tools & CLIs#open-models#local#onnx

Read article

Records at Rest: Documents, Inboxes, and Risk Queues

Sep 28, 2026

Jev labels a record that already exists. Code moves, flags, or holds it. How the document, mail, and transfer tools keep the action out of the model.

Jev Tools & CLIs#classification#email#security

Read article

Back to all resources

From the Jev community

Posts from builders shipping with Jev right now.

Follow @typesafeai