Ticker reaction data · Healthcare

Aravive, Inc. (ARAV)

ARAV moved a median of +4.15% 30 minutes after news, and +7.60% by the close. How ARAV actually reacts to news — the realized, point-in-time move the market made, measured across 32 labeled events over the last three years with zero look-ahead.

The quantified answer

ARAV’s median reaction, across the day.

+4.15%
Median 30-min
Typical reaction 30 minutes after any ARAV news
67%
Moved up
Share of ARAV news events that rose at 30 minutes
+7.60%
Median to close
Where ARAV typically settles by the closing bell
ARAV median reaction to newsARAV median reaction to news across 4 horizons: 5-min +1.93%, 30-min +4.15%, 60-min +3.45%, to close +7.60%.5-min30-min60-minto close5-min: +1.93%30-min: +4.15%60-min: +3.45%to close: +7.60%+1.93%+4.15%+3.45%+7.60%0+7.60%
Median move vs. the price at the news timestamp, each horizon on its own sample — the counts are in the table below.
ARAV median reaction to news, by horizon. Each rung is measured on the events that traded at that horizon.
HorizonMedian% positiveEvents
5-min+1.93%67%6
30-min+4.15%67%6
60-min+3.45%67%6
to close+7.60%67%6
Where ARAV reactions landvs 32 measured ARAV reactions
ARAVMiddle 50% · +0.12% to +10.93%Zero: 0.00%Median: +4.15%Median +4.15%-15.00%0+15.00%
Middle 50% of ARAV reactions+0.12% to +10.93%
Median reaction (30-min)+4.15%
Measured reactions32
Point-in-time · zero look-ahead

Half of all Aravive, Inc. news events land between +0.12% and +10.93% at 30 minutes.

Reaction stats as of 2026-09-21. Newest measured event . Reaction = percent move vs. the price at the news timestamp.

Next time, know first

Email me when ARAV moves on news.

One email per qualifying move — the headline, the measured reaction, and how it compares to ARAV's baseline. Nothing else.

▲ ARAV Free · unsubscribe anytime
26M+ news records Operating since 2012 Methodology on SSRN ↗
Latest news

Recent ARAV events, each with its measured reaction.

DateHeadlineEventSource5-minTo close
Form 15-12G Aravive, Inc.SEC filing · Form 15-12GSEC EDGAR——
Form EFFECT Aravive, Inc.SEC filing · Form EFFECTSEC EDGAR——
Form 25 Aravive, Inc.SEC filing · Form 25SEC EDGAR——
Form POS AM Aravive, Inc.SEC filing · Form POSSEC EDGAR——
Form S-8 POS Aravive, Inc.SEC filing · Form S-8SEC EDGAR——
Aravive, Inc. to Delist from The Nasdaq Stock MarketPress releaseGlobeNewswire+5.71%+21.43%
Form 8-K Aravive, Inc. For: Jan 12SEC filing · Form 8-KSEC EDGAR+5.71%+21.43%
Form 10-Q Aravive, Inc. For: Sep 30SEC filing · Form 10-QSEC EDGAR+0.00%+6.54%
Form 8-K Aravive, Inc. For: Nov 02SEC filing · Form 8-KSEC EDGAR-1.69%+8.65%

Each reaction is the move the market actually made, measured from the news timestamp. Headlines link through to the ARAV section they belong to.

Keep exploring

Where else ARAV is measured.

ARAV earnings → · Analyst actions → · SEC filings →

Other Healthcare names, measured the same way

Same sector, same measurement: percent move vs. the price at the news timestamp, read at 30 minutes. Sample sizes differ, so the medians are comparable but the confidence behind them is not.

All Healthcare names, measured the same way →

Every ticker we measure the same way24

Apple (AAPL)

How AAPL actually reacts to news, measured.

NVIDIA (NVDA)

How NVDA actually reacts to news, measured.

Tesla (TSLA)

How TSLA actually reacts to news, measured.

Microsoft (MSFT)

How MSFT actually reacts to news, measured.

Advanced Micro Devices (AMD)

How AMD actually reacts to news, measured.

Amazon (AMZN)

How AMZN actually reacts to news, measured.

Alphabet (GOOG)

How GOOG actually reacts to news, measured.

Meta Platforms (META)

How META actually reacts to news, measured.

Broadcom (AVGO)

How AVGO actually reacts to news, measured.

JPMorgan Chase (JPM)

How JPM actually reacts to news, measured.

Visa (V)

How V actually reacts to news, measured.

Walmart (WMT)

How WMT actually reacts to news, measured.

Eli Lilly (LLY)

How LLY actually reacts to news, measured.

UnitedHealth Group (UNH)

How UNH actually reacts to news, measured.

Netflix (NFLX)

How NFLX actually reacts to news, measured.

Johnson & Johnson (JNJ)

How JNJ actually reacts to news, measured.

Exxon Mobil (XOM)

How XOM actually reacts to news, measured.

Home Depot (HD)

How HD actually reacts to news, measured.

Costco (COST)

How COST actually reacts to news, measured.

Mastercard (MA)

How MA actually reacts to news, measured.

Oracle (ORCL)

How ORCL actually reacts to news, measured.

Salesforce (CRM)

How CRM actually reacts to news, measured.

Bank of America (BAC)

How BAC actually reacts to news, measured.

Coca-Cola (KO)

How KO actually reacts to news, measured.

Walt Disney (DIS)

How DIS actually reacts to news, measured.

Browse all tickers

Every name we’ve measured, in one place.

Method

How the numbers are made.

How is Aravive, Inc.'s median reaction calculated?

Every labeled ARAV news event is measured from its own timestamp: the last trade before the news is the base price, and the move is read at fixed horizons — 30 minutes of trading, then the close. The median across 32 events is what this page reports. Point-in-time, zero look-ahead: no event borrows information from a later one.

What counts as a positive reaction?

Any event whose price move is above zero at the horizon, relative to the last trade before the news timestamp. 67% of ARAV's measured events are up at 30 minutes; the rest close the window flat or negative.

How often is this page updated?

The news table refreshes automatically as new events are labeled and priced. The reaction medians are re-pulled in batches from the dataset — the figures here are as of 2026-09-21.

Does ARAV's past reaction predict its next one?

No. These are realized facts about past events, not forecasts. They describe a distribution — they say nothing certain about any future move.

Stop guessing what the event means

You just saw one reaction.
There are 26 million more.

For investors

Know the next move, measured.

Ticker alerts with the realized reaction — not the headline spin.

Free · no credit card · unsubscribe anytime
For builders

The dataset, one command away.

claude mcp add news-quantified

Then ask Claude: “how does ARAV react to downgrades?” — or pull it raw via REST.

60-second signup on the NQ portal · 100 free credits/mo
26M+ news records, 2006–2026 Operating since 2012 Point-in-time, zero look-ahead Peer-reviewable methodology (SSRN) ↗