# bklieger-groq/stockbot-on-groq

StockBot powered by Groq: Lightning Fast AI Chatbot that Responds With Live Interactive Stock Charts, Financials, News, Screeners, and More. Powered by Llama3-70b on Groq, Vercel AI SDK, and TradingView Widgets.

Repository: https://github.com/bklieger-groq/stockbot-on-groq
Canonical: https://ross.abutalabs.com/products/stockbot-on-groq
Homepage: https://groq-stockbot.vercel.app
Language: TypeScript
License: NOASSERTION
License Family: other
Last push: 2025-12-30T19:55:20+00:00

## Health v2 (maintenance only)
Score: 40/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 59, release rhythm 8, longevity 55
- inputs: {"age_days": 779, "days_push": 246, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1475, forks 331 (observed 2026-08-28T04:04:49.817187+00:00)

## What it is
StockBot is an open-source AI chatbot that uses Llama3-70b on Groq with function calling to render live, interactive TradingView stock market widgets in response to natural language queries. It is built with the Vercel AI SDK and Next.js, providing charts, financials, news, screeners, and heatmaps across stocks, forex, bonds, and crypto.

## Use cases
- chat with an AI to get live interactive stock charts
- ask for a company's financials and get a rendered widget
- get stock market news via natural language conversation
- screen stocks, forex, bonds, and crypto through a chatbot
- deploy a fast LLM chatbot with generative UI on Vercel
- see market heatmaps and performance visualizations on demand

## When to choose
- you want a ready-to-deploy AI finance chatbot with live TradingView widgets
- you need an example of function calling and generative UI with the Vercel AI SDK and Groq
- you want near-instant LLM responses for market queries across multiple asset classes

## When to avoid
- you need reliable investment advice or guaranteed-accurate financial data
- you require a backend data pipeline or custom market data sources rather than TradingView widgets
- you need a non-web or mobile-native application

## Facets
- artifact type: application
- maturity: active
- function: chatbot, agent-framework, data-visualization, charts, llm-inference
- domain: artificial-intelligence, large-language-models, fintech, web-development
- platform: -
- tags: tradingview, groq, vercel-ai-sdk, generative-ui, stock-market, llama3, finance-chatbot, finance, web-server, nodejs, typescript, vercel

## Member repositories
- bklieger-groq/stockbot-on-groq (main) score 40

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:49.817187+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:34:30.936411+00:00, confidence not recorded.
  - readme: https://github.com/bklieger-groq/stockbot-on-groq (fetched 2026-08-28T04:04:49.817187+00:00, sha cf87e3f970d1)
  - homepage: https://groq-stockbot.vercel.app (fetched 2026-08-29T11:42:09.040607+00:00, sha 4a13d09ff914)
- Data as of 2026-08-30T08:39:29.467469+00:00.