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Discord Stock Bot
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Private community utility

Discord Stock Bot

A compact automation and data-visualization project that delivers useful market context directly inside a private Discord community.

Working production deploymentPrivate community deployment; public source and container package available
MARKET DESKstock-botgeneralONLINE — 1Stock Bot
stock-botCharts, company context and recent headlines
A
Member

/mi symbol SPY

SB
Stock Bot APP

Server-rendered Heikin-Ashi response

SPY — 5 minuteLast: —  |  Change: —  |  Trend: flat  |  Market closed
Data from Yahoo Finance.
Command surface

Market context without leaving the conversation.

A Discord slash command supplies a ticker and timeframe. The bot requests supported market information, renders a server-side chart or compact embed, and returns the result directly to the conversation with visible attribution and failure messages.

/mi/da/we/mo/ytd/y1/y5/all
/infocompany snapshot/newsrecent headlines
01

Conversation first

Community members wanted quick visual market context without leaving a conversation to assemble charts, company information, and headlines across several tools.

02

One narrow response path

Narrow slash commands accept a ticker, gather the supported data, render a dark Heikin-Ashi chart, and return a concise company and news snapshot with graceful failure states.

Useful, not authoritative.

The bot is not a trading system, alert service, advice engine, or professional market-data product.

Upstream errors fail visibly instead of inventing or silently substituting market information.

Delivery

Source, image and runtime stay aligned.

  • The bot runs as a self-hosted Docker container for a private Discord community.
  • Eight chart timeframes, ticker information, recent news, and upstream error handling are implemented.
  • The public source repository includes a delivery workflow for latest and commit-tagged container images.
Current outcome

A working production deployment serving a private Discord community, with a repeatable container delivery path.

Next step

Maintain its deliberately narrow scope and dependable failure behavior as upstream data sources evolve.

Inspect the working source or continue from the verified deployment status.

View source on GitHubView container packageDiscuss a focused automationReturn to all projects