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ICE

Intercontinental ExchangeC
NYSE / Financial Services
Last Price
At close
2026-06-02
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AI scenario view

RankAlpha Sentiment AI
B+
Bull case
25%
Probability
Target price
$245.70
+72.6% vs current
Most likely
B
Base case
55%
Probability
Target price
$195.00
+37.0% vs current
B-
Bear case
20%
Probability
Target price
$168.67
+18.5% vs current

AI sentiment snapshot

Latest data as of 2026-02-10
Recent news sentiment (30D)
+18.4
Positive
Company
+23.6
Positive
Macro
+18.6
Positive
Pulse
-32.0
Negative
Sentiment proxy
+91.7
Score

AI commentary

Market sentiment is broadly constructive with a Buy consensus and median analyst targets ~$194–195, reflecting confidence in data and clearing franchises [#SERP-2] [#SERP-4]. Recent analyst notes and aggregated targets show upside from the current price but a spread of views from low ~169 to high ~245, indicating some dispersion around execution and volumes [#SERP-3].

RankAlpha Sentiment AI - 2026-02-10
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Evidence flagged

No evidence quality warning is currently attached to this memo.

Impact
standard
Confidence
-

AI events

2026-05-11catalystQuarterly earnings & guidanceMedium impact

Next quarterly earnings and management guidance can re-price multiples; timing assumed within the next 90 days if not formally published (market watches estimates and guidance) [#YF-earnings].

2026-05-11catalystAnalyst target revisions / upgradesHigh impact

Wall Street consensus sits near $194–196 and recent notes show several $195+ targets; upward revisions or reiterated 'buy' notes could drive a ~10–20% move toward consensus [#SERP-2] [#SERP-3] [#SERP-1].

2027-02-10catalystMortgage technology (Black Knight) integration / fixed-income data secular growthHigh impact

Medium-term value from mortgage-tech synergies and continued growth in fixed-income data/clearing could drive re-rating over 12+ months; outcome depends on execution and macro volumes [#SERP-5].

View full catalyst timeline

Recommendation

N/A

No formal recommendation provided.

Open AI Memo
As of 2026-02-10 • Updated nightlySource: Internal modelMethodology