ChatGPT Plugin

AlphaStocks

Stock analysis & earnings

Brand: Pyxl

Category: Content & Design
Primary Subcategory: Stock & Investment Analysis Tools

Integration details

Description

Analyze investment materials such as stock theses, earnings reports, analyst notes, and company updates. The app helps users break down investment assumptions, identify risks and red flags, and extract key positive, negative, and neutral signals from earnings materials. It is designed to make financial research more structured, faster, and easier to review.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Content & Design
Primary Subcategory: Stock & Investment Analysis Tools
Secondary Subcategories: None listed
Brand: Pyxl
Access: Account required
First tracked: 2026-05-26
Tool count: 10
Market: US

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Primary Subcategory

Competing in ChatGPT Stock & Investment Analysis Tools

View Category

Listed in alphabetical order

Primary Subcategory

3K秘書晨報Coming soonGet notified

Adviser AgentComing soonGet notified

Allocator AgentComing soonGet notified

Alpha SpreadComing soonGet notified

AlphaStocksComing soonGet notified

Tools

10 tools agents can invoke

INTERNAL: Only the client widget calls this. GPT must never call. List saved stock analyses.
get_stock_analyses
INTERNAL: Only the client widget calls this. GPT must never call. Get an analysis by id.
get_stock_analysis
MAIN: GPT calls this. Use this when the user wants recent news sentiment and headlines for a ticker in the finance widget.
get_stock_news_sentiment
MAIN: GPT calls this. Use this when the user wants a compact snapshot (price, move, profile fields) in the finance widget.
get_stock_overview
MAIN: GPT calls this. Use this when the user wants only the latest price and change percent as plain text in the chat. Does not open the finance widget. Do not use for charts—use show_stock_chart or show_stock_chart_with_analysis.
get_stock_quote
MAIN: GPT calls this. Use this when the user wants a short risk-style summary for a ticker in the widget. Informational only—not investment advice.
get_stock_risk_snapshot
INTERNAL: Only the client widget calls this. GPT must never call. User info for the widget.
get_user_info
MAIN: GPT calls this. Analyze investment materials (investment thesis, earnings reports, analyst notes) and provide structured analysis based on the selected mode. **INSTRUCTIONS:** You must analyze the provided content based on the selected mode: 1. **thesis mode**: Break down investment thesis into assumptions, identify weak/unverifiable claims, assess argument strength, find logical gaps 2. **risk_flags mode**: Identify risks, red flags, missing metrics, vague statements, unsupported claims 3. **earnings_signals mode**: Extract positive/negative/neutral signals from earnings calls or reports, assess management tone, identify key changes **IMPORTANT:** - You MUST call this tool with complete structured JSON data - DO NOT write analysis results in chat messages - Analyze thoroughly based on the selected mode - Provide complete structured results for the selected mode - Always include a summary_result with exactly 3 key themes and executive summary - Calculate signal balance and risk distribution for summary - All scores must be numbers between 0-100 **CRITICAL: You MUST use this tool to provide analysis. DO NOT write the analysis in chat - always call this tool with structured JSON data.**
run_stock_analysis
MAIN: GPT calls this. Use this when the user wants a candlestick chart for a US stock ticker. Pass period_days as the full span in days (e.g. 1 day = 1, week = 7, month = 30, quarter = 90, year = 365). Opens the finance widget with market data. For price-only text without a widget, use get_stock_quote.
show_stock_chart
MAIN: GPT calls this. Use this when the user wants the same candlestick chart plus a short technical summary (e.g. RSI, moving averages) in the finance widget. Pass period_days like show_stock_chart. Does not save a research note to the library—use run_stock_analysis for persisted thesis work.
show_stock_chart_with_analysis

FAQs

AlphaStocks ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve AlphaStocks's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are AlphaStocks alternatives on ChatGPT?

As of 2026-11-02, AlphaStocks competes with 3K秘書晨報, Adviser Agent, Allocator Agent, Alpha Spread, Análise de FIIs, AstraEye Labs, Boersi, BrinkerAdvisor Rates and 56 more in ChatGPT Stock & Investment Analysis Tools, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.