返回 Skill 市场

Opportunity Capture

stock-sentiment

This Skill provides integrated US equity research and multi-engine stock sentiment analysis across 2,000+ tickers via 27 MCP tools. Key features include full-text SEC EDGAR access (10-K/10-Q/8-K/Form 4) with search, Seeking Alpha articles, earnings transcripts, analyst ratings and comments, news ing

Updated today<1 min setup

Overview

This Skill provides integrated US equity research and multi-engine stock sentiment analysis across 2,000+ tickers via 27 MCP tools.

This Skill provides integrated US equity research and multi-engine stock sentiment analysis across 2,000+ tickers via 27 MCP tools. Key features include full-text SEC EDGAR access (10-K/10-Q/8-K/Form 4) with search, Seeking Alpha articles, earnings transcripts, analyst ratings and comments, news ingestion (Grok, DeepSeek, GPT-5 sentiment), Polygon per-ticker sentiment with reasoning, high-engagement X/Twitter threads, FRED macro indicators, and OHLCV price (kline) data. Use cases include due diligence, earnings preparation, sentiment-driven idea generation, event monitoring, and macro overlay for portfolio decisions. Core advantages are consolidated multi-source sentiment signals, full-text archival search, ready-to-run research workflows, and a no-registration free tier (20 requests/day per IP), enabling fast, reproducible equity research and signal discovery.

Skill.md

How this skill works

This Skill provides integrated US equity research and multi-engine stock sentiment analysis across 2,000+ tickers via 27 MCP tools. Key features include full-text SEC EDGAR access (10-K/10-Q/8-K/Form 4) with search, Seeking Alpha articles, earnings transcripts, analyst ratings and comments, news ing

SKILL.mdALPHIO / VERIFIED

Stock Sentiment & Financial Data

Stock sentiment analysis and US equity research tools. Query multi-engine AI sentiment scores, SEC filings, analyst ratings, earnings transcripts, social media sentiment, macro indicators, and price data for 2000+ stocks — all through 27 MCP tools.

References

  • references/tools.md — full tool reference with parameters and descriptions
  • references/workflows.md — step-by-step research workflows (stock analysis, sentiment, macro, deep search)

Quick Start

No token or registration needed. Free tier: 20 requests/day per IP.

Check data coverage:

mcp__alphafactoryx__get_archive_stats()

Research a stock:

mcp__alphafactoryx__sa_overview(symbol="AAPL")
mcp__alphafactoryx__edgar_latest(symbol="AAPL", form_type="10-K")
mcp__alphafactoryx__stocknews_articles(symbol="AAPL")
mcp__alphafactoryx__kline(symbol="AAPL")

Search across archives:

mcp__alphafactoryx__edgar_search(query="revenue guidance", symbol="AAPL")
mcp__alphafactoryx__sa_search(query="AI chips")
mcp__alphafactoryx__sa_transcript_search(query="margin expansion")

Check sentiment:

mcp__alphafactoryx__stocknews_articles(symbol="AAPL")
mcp__alphafactoryx__polygon_news_articles(symbol="AAPL")
mcp__alphafactoryx__x_sentiment(symbol="AAPL")

Get macro data:

mcp__alphafactoryx__fred_macro()

Tool Categories

CategoryToolsKey Capabilities
General1Archive stats and data coverage
SEC EDGAR5Filings (10-K, 10-Q, 8-K, Form 4), full text, full-text search
Seeking Alpha10Articles, news, earnings transcripts, ratings, financials, comments, search
Stock News2News articles with Grok + DeepSeek + GPT-5 sentiment, search
Polygon News2News with per-ticker AI sentiment insights + reasoning, search
X/Twitter3Tweets by engagement, filtered posts, high-engagement threads
FRED Macro225 macro indicators (rates, CPI, GDP, VIX, yield curve), series listing
OHLCV2Daily/hourly/1min price bars, symbol listing

Authentication

Free tier (no setup): 20 requests/day, 1 req/sec. Just connect and use.

Paid tiers: Set ALPHAFACTORYX_MCP_TOKEN in your env:

TierDailyRatePrice
Free201/s$0
Starter2002/s$29/mo
Pro2,0005/s$99/mo
Enterprise10,00010/sFrom $299/mo

See alphafactoryx.com/pricing for details.

Best Practices

  • Start with get_archive_stats to check data coverage before querying
  • Cross-reference sources — combine EDGAR, SA, news, sentiment, and price data
  • Use search tools — find content across archives by keyword
  • Paginate with offset — most tools support offset for paging through results
  • Filing text is truncated — use search tools to find specific sections in long filings
  • Use since for recent data — date filtering on articles, transcripts, and news

Error Handling

ErrorAction
"No data available" / "No filings found"Check symbol spelling; use get_archive_stats for coverage
Authentication errorCheck ALPHAFACTORYX_MCP_TOKEN env var
Rate limit (429)Wait and retry; consider upgrading tier
Text truncatedUse search tools to find specific sections
Network timeoutCheck https://mcp.alphafactoryx.com/mcp is accessible

Data Coverage

  • ~2,000 US equities (stocks + ETFs)
  • SEC EDGAR: 10-K, 10-Q, 8-K filings and Form 4 insider trades (full text)
  • Seeking Alpha: articles, earnings call transcripts, ratings, financials, dividends, estimates
  • Stock News: articles with Grok + DeepSeek + GPT-5 sentiment
  • Polygon News: articles with per-ticker AI sentiment insights and reasoning
  • X/Twitter: tweets with engagement metrics for ~50 stocks (not the full 2000)
  • FRED: 25 macro series (Fed Funds, CPI, GDP, unemployment, VIX, yield curve, etc.)
  • OHLCV: daily, hourly, 1-minute bars for ~2000 stocks + 6 futures (ES, NQ, YM, RTY, GC, CL)

Best used for

When to use it

This Skill provides integrated US equity research and multi-engine stock sentiment analysis across 2,000+ tickers via 27 MCP tools. Key features include full-text SEC EDGAR access (10-K/10-Q/8-K/Form 4) with search, Seeking Alpha articles, earnings transcripts, analyst ratings and comments, news ing

01 · PRE-MEETING

Prepare a decision brief

Turn scattered evidence into a structured case before an investment committee meeting.

02 · TEAM WORKFLOW

Standardize handoffs

Create consistent research outputs across analysts, portfolio managers, and agents.

03 · LIVE UPDATE

Refresh the thesis

Update scenarios after a new catalyst, KPI release, or earnings result.

Community notes

Built to improve with use.

随着 Skill 被使用与评审,反馈将展示在这里。

Leave feedback

Discover more

Related skills

View all
免费开始