LangAlpha
Claude Code for Financial Market
- 2k stars
- 337 forks
- 32 open issues
- Language: Python
- License: Apache-2.0
- updated
Install
git clone https://github.com/ginlix-ai/LangAlpha && cp LangAlpha/*.md ~/.claude/agents/- Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
- Start a new Claude Code session to load the agents.
- Delegate work to them with the Task/Agent tool or by name.
24 items in this repository
Integrated 3-statement financial model: linked income statement, balance sheet, and cash flow
Event tracker: earnings dates, economic releases, conferences, regulatory events
Draw price lines, trendlines, zones, and event markers directly on a stock's price chart — reach for it whenever you'd otherwise describe a level, pattern, or event in prose. Renders live on MarketView and as a clickable preview card in any other chat.
Investment deck QC: number consistency, data-narrative alignment, IB language, formatting audit
Financial model audit: structural checks, formula validation, integrity testing
Competitive landscape analysis: positioning, scorecards, moat assessment, market share trends
Comparable company analysis: operating metrics, valuation multiples, peer benchmarking
DCF valuation: free cash flow projections, WACC, terminal value, sensitivity analysis
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
Post-earnings analysis report: beat/miss breakdown, estimate revisions, thesis impact, charts
Pre-earnings analysis: consensus estimates, key metrics to watch, bull/base/bear scenarios
Self-contained styled HTML reports written to results/: PDF-exportable research documents with inline data, charts, and theme-aware CSS
Stock screening and idea generation: quantitative screens, thematic analysis, shortlist
Full equity research initiation: company research, financial model, valuation, charts, 30-50 page report
Inline HTML widgets: charts, dashboards, data tables rendered directly in the chat via ShowWidget
Interactive web dashboards: stock trackers, sector heatmaps, portfolio monitors — served via preview URL
Track live prices for the tickers central to the current task. Registers symbols for an ambient real-time price feed, keeps analysis current with the newest quotes, and re-checks staleness before stating prices.
Update financial model with new quarterly actuals, revised estimates, and updated price target
Daily research briefing: overnight news, pre-market movers, earnings, macro events
First-time user onboarding to set up investment profile, watchlists, portfolio, and preferences.
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions \"deck,\" \"slides,\" \"presentation,\" or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
Orchestrate parallel subagent pipelines from a JavaScript workflow script — fan out work across many items (tickers, filings, findings) then synthesize, or run a saved workflow by name. Unlocks the RunWorkflow tool.
Subagents overview
What people ask about LangAlpha
What is ginlix-ai/LangAlpha?
ginlix-ai/LangAlpha is subagents for the Claude AI ecosystem. Claude Code for Financial Market It has 2k GitHub stars and its last recorded update is dated 2026-10-23.
How do I install LangAlpha?
You can install LangAlpha by cloning the repository (https://github.com/ginlix-ai/LangAlpha) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is ginlix-ai/LangAlpha safe to use?
Our security agent has analyzed ginlix-ai/LangAlpha and assigned a Trust Score of 97/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains ginlix-ai/LangAlpha?
ginlix-ai/LangAlpha is maintained by ginlix-ai. The last recorded GitHub activity is dated 2026-10-23, with 32 open issues.
Are there alternatives to LangAlpha?
Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.