Moody's (MCO)

EarningsTranscriptsUpdated

As of Oct 24, 2026, Kalshi has settled 23 word markets on Moody's’ earnings calls since 2026, on 13 different words. Next call: Feb 17, 2027 (13 words listed).

Next: Earnings call ·

13 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Moody's: the words listed for Wed, Feb 17, how often each was said on past occasions, and the probability for this one
WordQ4’24Feb '25Q1’25Apr '25Q2’25Jul '25Q3’25Oct '25Q4’25year agoQ1’26Apr '26Q2’26Jul '26Q3’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
AI / Artificial Intelligence3+ times16 times: AI / Artificial Intelligence (3+ times), Q4’24 Feb '25, counts as said18 times: AI / Artificial Intelligence (3+ times), Q1’25 Apr '25, counts as said18 times: AI / Artificial Intelligence (3+ times), Q2’25 Jul '25, counts as said19 times: AI / Artificial Intelligence (3+ times), Q3’25 Oct '25, counts as said41 times: AI / Artificial Intelligence (3+ times), Q4’25 Feb '26, counts as said22 times: AI / Artificial Intelligence (3+ times), Q1’26 Apr '26, counts as said37 times: AI / Artificial Intelligence (3+ times), Q2’26 Jul '26, counts as said44 times: AI / Artificial Intelligence (3+ times), Q3’26 Oct '26, counts as saidrising8/8100%8/8100%17/7722%95%n=1+tx from settlement history blended with transcripts89¢ Kalshi
Private Credit10 times: Private Credit, Q4’24 Feb '25, counts as said29 times: Private Credit, Q1’25 Apr '25, counts as said40 times: Private Credit, Q2’25 Jul '25, counts as said11 times: Private Credit, Q3’25 Oct '25, counts as said8 times: Private Credit, Q4’25 Feb '26, counts as said11 times: Private Credit, Q1’26 Apr '26, counts as said11 times: Private Credit, Q2’26 Jul '26, counts as said12 times: Private Credit, Q3’26 Oct '26, counts as saidfalling8/8100%8/8100%15/7719%95%n=1+tx from settlement history blended with transcripts78¢ Kalshi
Data Center0 times: Data Center, Q4’24 Feb '253 times: Data Center, Q1’25 Apr '25, counts as said1 time: Data Center, Q2’25 Jul '25, counts as said6 times: Data Center, Q3’25 Oct '25, counts as said2 times: Data Center, Q4’25 Feb '26, counts as said0 times: Data Center, Q1’26 Apr '268 times: Data Center, Q2’26 Jul '26, counts as said5 times: Data Center, Q3’26 Oct '26, counts as saidrising6/875%6/875%8/7710%85%n=2+tx from settlement history blended with transcripts86¢ Kalshi
Retention7 times: Retention, Q4’24 Feb '25, counts as said0 times: Retention, Q1’25 Apr '252 times: Retention, Q2’25 Jul '25, counts as said5 times: Retention, Q3’25 Oct '25, counts as said2 times: Retention, Q4’25 Feb '26, counts as said6 times: Retention, Q1’26 Apr '26, counts as said1 time: Retention, Q2’26 Jul '26, counts as said3 times: Retention, Q3’26 Oct '26, counts as saidsteady7/888%7/888%48/7762%85%n=2+tx from settlement history blended with transcripts84¢ Kalshi
Orbis2 times: Orbis, Q4’24 Feb '25, counts as said0 times: Orbis, Q1’25 Apr '251 time: Orbis, Q2’25 Jul '25, counts as said3 times: Orbis, Q3’25 Oct '25, counts as said5 times: Orbis, Q4’25 Feb '26, counts as said0 times: Orbis, Q1’26 Apr '261 time: Orbis, Q2’26 Jul '26, counts as said5 times: Orbis, Q3’26 Oct '26, counts as saidrising6/875%6/875%21/7727%82%n=2+tx from settlement history blended with transcripts79¢ Kalshi
Repurchase / Repurchased0 times: Repurchase / Repurchased, Q4’24 Feb '251 time: Repurchase / Repurchased, Q1’25 Apr '25, counts as said0 times: Repurchase / Repurchased, Q2’25 Jul '251 time: Repurchase / Repurchased, Q3’25 Oct '25, counts as said1 time: Repurchase / Repurchased, Q4’25 Feb '26, counts as said2 times: Repurchase / Repurchased, Q1’26 Apr '26, counts as said2 times: Repurchase / Repurchased, Q2’26 Jul '26, counts as said2 times: Repurchase / Repurchased, Q3’26 Oct '26, counts as saidrising6/875%6/875%73/7795%77%n=2+tx from settlement history blended with transcripts88¢ Kalshi
Agentic3+ times0 times: Agentic (3+ times), Q4’24 Feb '252 times: Agentic (3+ times), Q1’25 Apr '25, below the threshold0 times: Agentic (3+ times), Q2’25 Jul '254 times: Agentic (3+ times), Q3’25 Oct '25, counts as said4 times: Agentic (3+ times), Q4’25 Feb '26, counts as said2 times: Agentic (3+ times), Q1’26 Apr '26, below the threshold7 times: Agentic (3+ times), Q2’26 Jul '26, counts as said7 times: Agentic (3+ times), Q3’26 Oct '26, counts as saidrising4/850%1/812%4/775%60%transcripts from the transcript model60¢ Kalshi
Tariff1 time: Tariff, Q4’24 Feb '25, counts as said5 times: Tariff, Q1’25 Apr '25, counts as said2 times: Tariff, Q2’25 Jul '25, counts as said2 times: Tariff, Q3’25 Oct '25, counts as said1 time: Tariff, Q4’25 Feb '26, counts as said1 time: Tariff, Q1’26 Apr '26, counts as said0 times: Tariff, Q2’26 Jul '260 times: Tariff, Q3’26 Oct '26falling6/875%4/850%8/7710%41%n=2+tx from settlement history blended with transcripts15¢ Kalshi
Geopolitical0 times: Geopolitical, Q4’24 Feb '251 time: Geopolitical, Q1’25 Apr '25, counts as said3 times: Geopolitical, Q2’25 Jul '25, counts as said1 time: Geopolitical, Q3’25 Oct '25, counts as said0 times: Geopolitical, Q4’25 Feb '263 times: Geopolitical, Q1’26 Apr '26, counts as said1 time: Geopolitical, Q2’26 Jul '26, counts as said0 times: Geopolitical, Q3’26 Oct '26steady5/862%4/850%38/7749%39%n=2+tx from settlement history blended with transcripts44¢ Kalshi
Rate Cut / Cut Rate0 times: Rate Cut / Cut Rate, Q4’24 Feb '254 times: Rate Cut / Cut Rate, Q1’25 Apr '25, counts as said0 times: Rate Cut / Cut Rate, Q2’25 Jul '251 time: Rate Cut / Cut Rate, Q3’25 Oct '25, counts as said0 times: Rate Cut / Cut Rate, Q4’25 Feb '260 times: Rate Cut / Cut Rate, Q1’26 Apr '261 time: Rate Cut / Cut Rate, Q2’26 Jul '26, counts as said0 times: Rate Cut / Cut Rate, Q3’26 Oct '26falling3/838%2/825%7/779%31%transcripts from the transcript model15¢ Kalshi
Inflation3 times: Inflation, Q4’24 Feb '25, counts as said0 times: Inflation, Q1’25 Apr '251 time: Inflation, Q2’25 Jul '25, counts as said0 times: Inflation, Q3’25 Oct '250 times: Inflation, Q4’25 Feb '260 times: Inflation, Q1’26 Apr '262 times: Inflation, Q2’26 Jul '26, counts as said0 times: Inflation, Q3’26 Oct '26falling3/838%2/825%18/7723%27%n=2+tx from settlement history blended with transcripts32¢ Kalshi
BDC1 time: BDC, Q4’24 Feb '25, counts as said3 times: BDC, Q1’25 Apr '25, counts as said3 times: BDC, Q2’25 Jul '25, counts as said2 times: BDC, Q3’25 Oct '25, counts as said0 times: BDC, Q4’25 Feb '260 times: BDC, Q1’26 Apr '260 times: BDC, Q2’26 Jul '260 times: BDC, Q3’26 Oct '26falling4/850%2/825%8/7710%18%n=2+tx from settlement history blended with transcripts14¢ Kalshi
Recession0 times: Recession, Q4’24 Feb '250 times: Recession, Q1’25 Apr '250 times: Recession, Q2’25 Jul '251 time: Recession, Q3’25 Oct '25, counts as said0 times: Recession, Q4’25 Feb '260 times: Recession, Q1’26 Apr '260 times: Recession, Q2’26 Jul '260 times: Recession, Q3’26 Oct '26steady1/812%0/80%10/7713%15%n=1+tx from settlement history blended with transcripts6¢ Kalshi
  • times said on that call
  • counted as said (ring)
  • no call
  • probability next time, with n
  • Select a word or a cell for its quotes
What the columns mean
Last N
of the appearances shown, how many counted as said
Trend
how the count moved over these calls
Scripted
calls of the last 8 where it was said in the prepared remarks
All-time
every call on file
Probability
the calibrated probability for the next listing; n is the settled observations behind it when it was computed, '+tx' adds the transcripts, 'new' means too little history

Market prices are mid quotes from Kalshi and Polymarket, shown for context, may be delayed by several minutes and are not a signal. Quotes as of Oct 21, 2026 22:27 UTC.

Every word

1–2 of 2, most settled first
Moody's: every word with settled markets, most settled first
WordQ4’24Feb '25Q1’25Apr '25Q2’25Jul '25Q3’25Oct '25Q4’25Feb '26Q1’26Apr '26Q2’26Jul '26Q3’26last callTrendLast 8ScriptedAll-timeProbability
Rate Cut0 times: Rate Cut, Q4’24 Feb '254 times: Rate Cut, Q1’25 Apr '25, counts as said0 times: Rate Cut, Q2’25 Jul '251 time: Rate Cut, Q3’25 Oct '25, counts as said0 times: Rate Cut, Q4’25 Feb '260 times: Rate Cut, Q1’26 Apr '261 time: Rate Cut, Q2’26 Jul '26, counts as said0 times: Rate Cut, Q3’26 Oct '26falling3/838%2/825%7/779%22%n=2+tx from settlement history blended with transcripts
Saudi Arabianever said0 times: Saudi Arabia, Q4’24 Feb '250 times: Saudi Arabia, Q1’25 Apr '250 times: Saudi Arabia, Q2’25 Jul '250 times: Saudi Arabia, Q3’25 Oct '250 times: Saudi Arabia, Q4’25 Feb '260 times: Saudi Arabia, Q1’26 Apr '260 times: Saudi Arabia, Q2’26 Jul '260 times: Saudi Arabia, Q3’26 Oct '26steady0/80%0/80%0/770%10%n=2+tx from settlement history blended with transcripts
What the columns mean
Last N
of the appearances shown, how many counted as said
Trend
how the count moved over these calls
Scripted
calls of the last 8 where it was said in the prepared remarks
All-time
every call on file
Probability
the calibrated probability for the next listing; n is the settled observations behind it when it was computed, '+tx' adds the transcripts, 'new' means too little history

Appearances and settled record

latest 12

Our transcript counts matched how 23 of 23 settled words resolved (100.0%). How we check.

Citeparrot.markets, “Moody's (MCO): earnings call word history”, as of Oct 24, 2026, https://parrot.markets/earnings/MCO (CC BY 4.0)

Agents: this page as TSV at /api/v1/entity/moodys · words: /api/v1/history?entity=moodys · columnar JSON in #parrot-data · llms.txt · MCP