Earnings Estimate Revisions Tracker — EPS Changes API
Pricing
from $150.00 / 1,000 eps revision records
Track analyst EPS estimate revisions from SEC EDGAR — parsed, source-linked JSON for analysts, funds and AI agents.
List of US-listed stock ticker symbols to fetch analyst EPS estimate revisions for. Use the canonical Yahoo Finance ticker — e.g. AAPL, NVDA, TSLA, MSFT, AMZN, GOOGL, META, BRK-B (note the dash for class B), BABA (US ADR). Each symbol produces one record. Best signal: liquid mid/large-caps with 8+ covering analysts where revisions actually move estimates — small-caps with 2-3 analysts have noisy revision data. Hedge-fund earnings-momentum strategies typically scan 200-500 symbols per refresh.
[ "AAPL", "NVDA", "TSLA", "MSFT", "AMZN"]Filter records by the direction of the trailing-30-day current-quarter EPS estimate revision. UP = estimate revised higher in the last 30 days (positive momentum — bullish into earnings, the highest-alpha signal in earnings-momentum strategies). DOWN = estimate revised lower (negative momentum — earnings miss risk). STABLE = revision under +/- 1% (analysts at consensus, low conviction either way). ALL = no filter, return every symbol.
Skip symbols whose absolute current-quarter revision over the trailing 30 days is below this percent. 0 = include every symbol regardless of revision magnitude. 1 = filter out noise (typical default for institutional dashboards). 3 = material revision threshold (most quant earnings-revision factor models use 3-5%). 10 = high-conviction revision cluster (rare — usually signals a guidance pre-announcement). Applied on the absolute value, so direction-filter is independent.
Which trailing window to use as the primary revision_pct + revision_direction signal. 30d = most recent 30 days (default — what earnings-momentum strategies trade). 60d = trailing 60 days (smoother, used by fundamental funds). 90d = trailing 90 days (full quarter — used in SUE-style factor research). All three windows are always emitted in the output; this only controls which one drives the revision_direction classification.
Maximum number of symbol records to push to the dataset. Each record is one symbol-level revision snapshot and counts as one pay-per-result charge ($0.15). Hedge-fund screens typically pull 50-200 names per refresh (top revision-momentum names from the S&P 500). Backtesting workflows pull 500-1500 (Russell 1000 universe). Leave at 0 to return every input symbol that resolves with data.
Apify proxy configuration. Yahoo Finance rate-limits requests from Apify's default datacenter egress hard — back-to-back runs from a single Apify IP often see a flood of HTTP 429s on the quoteSummary endpoint. This actor defaults to the Apify RESIDENTIAL proxy group, which rotates residential IPs and reliably stays under Yahoo's anti-bot threshold. Free-tier Apify accounts can downgrade to auto (datacenter) but expect partial fills and missing symbols on bursts above ~5 names. Leave as default unless you know you need to change it.
{ "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ]}