estimate_revised_down
At least one analyst lowered their next-quarter EPS estimate in the last 30 days.
At a glance
eps_estimate_revision_down_30d > eps_estimate_revision_up_30d AND total 30d revisions (up + down) >= 3| Type | state (boolean) |
| Group | Analyst ratings |
| Category | Estimates |
| Update cadence | post-close daily |
| Intervals | 1d |
| Universe | all tickers |
| History | recent only (forward-only from first computation) |
| Firing | continuous |
What analysts say it will earn: forward EPS/revenue estimates and their revisions.
Query it
Every applicable form factor, grouped by endpoint family. Swap YOUR_KEY for the value from /dashboard/keys. Response payloads are real captures, sampled 2026-08-18 and trimmed — your run's values and dates will differ.
Use signals /v2/signals/{signal}
One signal across the market: who matches now, who matched then, and a push when someone starts. Docs →
curl "https://api.tickerbot.io/v2/signals/estimate_revised_down" \
-H "Authorization: Bearer YOUR_KEY"{
"as_of": "2026-08-18T00:23:46.861Z",
"signal": "estimate_revised_down",
"condition": null,
"universe": null,
"count": 2,
"results": [
{
"ticker": "AARD",
"name": "Aardvark Therapeutics, Inc. Common Stock",
"value": true
},
{
"ticker": "AB",
"name": "AllianceBernstein Holding, L.P.",
"value": true
}
]
}curl "https://api.tickerbot.io/v2/signals/estimate_revised_down?asof=2026-05-20" \
-H "Authorization: Bearer YOUR_KEY"{
"as_of": "2026-05-20",
"signal": "estimate_revised_down",
"condition": null,
"universe": null,
"count": 0,
"results": []
}curl -X POST "https://api.tickerbot.io/v2/signals/estimate_revised_down/subscribe" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_KEY" \
-d '{"target_url": "https://example.com/hooks/tickerbot"}'Returns 201 with the created webhook — the same shape as GET /v2/webhooks/{id}, plus a one-time signing_secret for HMAC verification.
Use scan /v2/scan
The whole market through a WHERE clause — this signal composed freely with any other column. Docs →
curl -G "https://api.tickerbot.io/v2/scan" \
--data-urlencode "q=estimate_revised_down" \
-H "Authorization: Bearer YOUR_KEY"{
"as_of": "2026-08-18T00:23:49.970Z",
"query": {
"q": "estimate_revised_down",
"limit": 2,
"order": "day_change_pct",
"dir": "desc",
"fields": [],
"full": false,
"universe": null,
"asset_class": null
},
"count": 2,
"results": [
{
"ticker": "ACH",
"name": "Accendra Health, Inc.",
"asset_class": "stocks",
"asset_type": "CS",
"price": 1.07,
"day_change_pct": 0.1252,
"gap_pct": 0.0118,
"relative_volume": null,
"market_cap": 73128683
},
{
"ticker": "CAPR",
"name": "Capricor Therapeutics Inc",
"asset_class": "stocks",
"asset_type": "CS",
"price": 7.47,
"day_change_pct": 0.1233,
"gap_pct": 0.0331,
"relative_volume": null,
"market_cap": 386424776
}
]
}curl -G "https://api.tickerbot.io/v2/scan" \
--data-urlencode "q=estimate_revised_down" \
-d "asof=2026-05-20" \
-H "Authorization: Bearer YOUR_KEY"{
"as_of": "2026-05-20",
"query": {
"q": "estimate_revised_down",
"asof": "2026-05-20",
"interval": "auto",
"limit": 2,
"order": "day_change_pct",
"dir": "desc",
"fields": [],
"full": false,
"universe": null,
"asset_class": null
},
"count": 0,
"results": []
}curl -X POST "https://api.tickerbot.io/v2/scan/subscribe" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_KEY" \
-d '{"q": "estimate_revised_down", "target_url": "https://example.com/hooks/tickerbot"}'Returns 201 with the created webhook object; deliveries carry the tickers matching the condition at each evaluation.
Use series /v2/series
Its history over time, on one aligned grid. Docs →
curl "https://api.tickerbot.io/v2/series?tickers=AAPL,MSFT&columns=close,estimate_revised_down" \
-H "Authorization: Bearer YOUR_KEY"{
"as_of": "2026-08-18T00:23:52.662Z",
"interval": "1d",
"tickers": [
"AAPL",
"MSFT"
],
"columns": [
"close",
"estimate_revised_down"
],
"count": 6,
"series": {
"AAPL": [
{
"t": "2026-08-12",
"close": 302.25,
"estimate_revised_down": false
},
{
"t": "2026-08-13",
"close": 305.26,
"estimate_revised_down": false
},
{
"t": "2026-08-14",
"close": 305.93,
"estimate_revised_down": false
}
],
"MSFT": [
{
"t": "2026-08-12",
"close": 492.43,
"estimate_revised_down": true
},
{
"t": "2026-08-13",
"close": 496.88,
"estimate_revised_down": true
},
{
"t": "2026-08-14",
"close": 495.4,
"estimate_revised_down": true
}
]
}
}Use events /v2/events
The flag as a timeline: each edge as a point event, and the spans it stayed true. Docs →
curl -G "https://api.tickerbot.io/v2/events" \
-d "kind=signal" -d "signal=estimate_revised_down" -d "transition=enter" -d "since=2026-01-10" \
-H "Authorization: Bearer YOUR_KEY"{
"as_of": "2026-08-18T00:23:52.804Z",
"query": {
"kind": "signal",
"tickers": null,
"universe": null,
"since": "2026-01-10T00:00:00.000Z",
"until": null,
"limit": 2,
"signal": "estimate_revised_down",
"transition": "enter"
},
"count": 0,
"results": []
}curl "https://api.tickerbot.io/v2/signals/estimate_revised_down/AAPL/events" \
-H "Authorization: Bearer YOUR_KEY"{
"as_of": "2026-08-18T00:23:52.922Z",
"ticker": "AAPL",
"signal": "estimate_revised_down",
"count": 0,
"events": []
}Same grammar on scan, series, and webhooks; state reads take ?asof= for point-in-time answers.