The problem
Community members wanted quick visual market context without leaving a conversation to assemble charts, company information, and headlines across several tools.
Data visualization
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 link pending
- Status
- Working production deployment
- Audience
- Private Discord communities and self-hosters
- Portfolio
- Working projects
- Reviewed
- Jul 24, 2026
Current project file
The approach
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.
03
What was built
A focused selection of the work that defines this project at its current status.
- Ticker-based Discord slash commands
- Dark Heikin-Ashi chart generation
- Company snapshots and recent headlines
- Self-hosted Docker deployment and public delivery pipeline
04 · How it works
A plain-language system view
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.
05
Safeguards & boundaries
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.
06 · Current evidence
What supports the status today
Private community deployment; public source link pending
- 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.
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.
Supporting technology
- Python
- discord.py
- pandas
- matplotlib
- Docker
- GitHub Actions
Available next step