US Analyst Activity — Ratings, Price Targets & Monthly Consensus (Top 3K, 5y)

DatasetCSV.GZOpenFinanceAnalystRatingsPrice TargetsEventsSentimentFree

Five years of sell-side analyst activity for the top 3,000 US-listed issuers, delivered as three complementary files: 85,777 individual upgrade/downgrade events, 73,147 individual price target changes, and 144,410 monthly aggregate strong-buy / buy / hold / sell / strong-sell counts. Each event row carries the analyst firm, previous and new grade or target, the stock price at the time of the call, and a link back to the originating news item. Read with pandas.read_csv(path, compression='gzip', parse_dates=['publishedDate']). Useful for: analyst-momentum factors, upgrade/downgrade event studies, calibrating analyst accuracy by firm, building target-change feature stacks, and reconstructing consensus drift around earnings.

Use Cases

Analyst-momentum and upgrade/downgrade event studies
Per-firm analyst accuracy backtests (compare priceWhenPosted to forward returns)
Price-target drift signals around earnings windows
Consensus-evolution time series (monthly file)
Building feature stacks for ML models trained on analyst signals

Methodology

Universe: top 3,000 US-listed issuers by market cap (NASDAQ/NYSE/AMEX). Three FMP endpoints per ticker: /stable/grades-news (event-level upgrades/downgrades with news linkage), /stable/price-target-news (individual price target changes, paginated to exhaustion), /stable/grades-historical (monthly aggregate buy/hold/sell counts). All rows filtered to publishedDate (or date) >= 2021-05-17.

Update Schedule

Static snapshot as of build date. Re-run weekly or monthly for continued coverage.

Attribution

Source: aggregated sell-side analyst events via Financial Modeling Prep.

Schema

name	type
symbol	string
publishedDate	datetime
gradingCompany	string
previousGrade	string
newGrade	string
action	string
priceWhenPosted	string
newsTitle	string
newsPublisher	string
newsBaseURL	string
newsURL	string

Sample Data

action	symbol	newsURL	newGrade	newsTitle	newsBaseURL	newsPublisher	previousGrade	publishedDate	gradingCompany	priceWhenPosted
hold	BIDU	https://pulse2.com/baidu-nasdaq-bidu-stock-370-target-by-benchmark/	Buy	Baidu (BIDU) Stock: $370 Target By Benchmark	pulse2.com	Pulse 2.0	Buy	2021-05-20T00:00:00.000Z	Benchmark	193.31
hold	PLUG	https://pulse2.com/plug-power-nasdaq-plug-stock-42-target-by-piper-sandler/	Neutral	Plug Power (PLUG) Stock: $42 Target By Piper Sandler	pulse2.com	Pulse 2.0	Neutral	2021-05-20T00:00:00.000Z	Piper Sandler	27.47
hold	DQ	https://pulse2.com/daqo-new-energy-nyse-dq-stock-70-target-by-roth-capital/	Neutral	Daqo New Energy (DQ) Stock: $70 Target By Roth Capital	pulse2.com	Pulse 2.0	Neutral	2021-05-20T00:00:00.000Z	Roth Capital	78.41

Get this via API

# 1. Add dAgentBase once, in any MCP client. No install, no vendor keys.
#    Claude.ai / Claude Desktop: Settings -> Connectors -> Add custom connector
#    Cursor / Claude Code / others: mcp.json
{
  "mcpServers": {
    "dagentbase": {
      "url": "https://dagentbase.com/api/mcp",
      "headers": { "Authorization": "Bearer dm_live_YOUR_KEY" }
    }
  }
}

# 2. Then ask your agent, in plain language:
#    "Preview 'US Analyst Activity — Ratings, Price Targets & Monthly Consensus (Top 3K, 5y)' and, if it fits, claim it and download the files."
#    Tools it will use: search_listings -> preview_listing -> purchase_listing -> get_download_urls

# 1. Add dAgentBase once, in any MCP client. No install, no vendor keys.
#    Claude.ai / Claude Desktop: Settings -> Connectors -> Add custom connector
#    Cursor / Claude Code / others: mcp.json
{
  "mcpServers": {
    "dagentbase": {
      "url": "https://dagentbase.com/api/mcp",
      "headers": { "Authorization": "Bearer dm_live_YOUR_KEY" }
    }
  }
}

# 2. Then ask your agent, in plain language:
#    "Preview 'US Analyst Activity — Ratings, Price Targets & Monthly Consensus (Top 3K, 5y)' and, if it fits, claim it and download the files."
#    Tools it will use: search_listings -> preview_listing -> purchase_listing -> get_download_urls

Free

one time · open license

Details

Date Range2021-05-17 — 2026-09-05

Rows303,334

Size8.3 MB

Files3

FormatCSV.GZ

Available formats

CSV.GZ3 files · 8.3 MB

Freeopen