
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
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
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 descriptionsreferences/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
| Category | Tools | Key Capabilities |
|---|---|---|
| General | 1 | Archive stats and data coverage |
| SEC EDGAR | 5 | Filings (10-K, 10-Q, 8-K, Form 4), full text, full-text search |
| Seeking Alpha | 10 | Articles, news, earnings transcripts, ratings, financials, comments, search |
| Stock News | 2 | News articles with Grok + DeepSeek + GPT-5 sentiment, search |
| Polygon News | 2 | News with per-ticker AI sentiment insights + reasoning, search |
| X/Twitter | 3 | Tweets by engagement, filtered posts, high-engagement threads |
| FRED Macro | 2 | 25 macro indicators (rates, CPI, GDP, VIX, yield curve), series listing |
| OHLCV | 2 | Daily/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:
| Tier | Daily | Rate | Price |
|---|---|---|---|
| Free | 20 | 1/s | $0 |
| Starter | 200 | 2/s | $29/mo |
| Pro | 2,000 | 5/s | $99/mo |
| Enterprise | 10,000 | 10/s | From $299/mo |
See alphafactoryx.com/pricing for details.
Best Practices
- Start with
get_archive_statsto 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 supportoffsetfor paging through results - Filing text is truncated — use search tools to find specific sections in long filings
- Use
sincefor recent data — date filtering on articles, transcripts, and news
Error Handling
| Error | Action |
|---|---|
| "No data available" / "No filings found" | Check symbol spelling; use get_archive_stats for coverage |
| Authentication error | Check ALPHAFACTORYX_MCP_TOKEN env var |
| Rate limit (429) | Wait and retry; consider upgrading tier |
| Text truncated | Use search tools to find specific sections |
| Network timeout | Check 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。
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