Morgan Stanley (MS)

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As of Oct 24, 2026, Kalshi has settled 41 word markets on Morgan Stanley’s earnings calls since 2026, on 19 different words. Next call: Jan 14, 2027 (15 words listed).

“AI / Artificial Intelligence” on the Oct 14 call · 3:08 · said 18 times. Play the clip

Next: Earnings call ·

15 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Morgan Stanley: the words listed for Thu, Jan 14, how often each was said on past occasions, and the probability for this one
WordQ4’24Jan '25Q1’25Apr '25Q2’25Jul '25Q3’25Oct '25Q4’25year agoQ1’26Apr '26Q2’26Jul '26Q3’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
AI / Artificial Intelligence1 time: AI / Artificial Intelligence, Q4’24 Jan '25, counts as said2 times: AI / Artificial Intelligence, Q1’25 Apr '25, counts as said2 times: AI / Artificial Intelligence, Q2’25 Jul '25, counts as said10 times: AI / Artificial Intelligence, Q3’25 Oct '25, counts as said13 times: AI / Artificial Intelligence, Q4’25 Jan '26, counts as said9 times: AI / Artificial Intelligence, Q1’26 Apr '26, counts as said6 times: AI / Artificial Intelligence, Q2’26 Jul '26, counts as said18 times: AI / Artificial Intelligence, Q3’26 Oct '26, counts as saidrising8/8100%7/888%19/7924%95%n=1+tx from settlement history blended with transcripts92¢ Kalshi
Parametric7 times: Parametric, Q4’24 Jan '25, counts as said2 times: Parametric, Q1’25 Apr '25, counts as said4 times: Parametric, Q2’25 Jul '25, counts as said9 times: Parametric, Q3’25 Oct '25, counts as said5 times: Parametric, Q4’25 Jan '26, counts as said2 times: Parametric, Q1’26 Apr '26, counts as said4 times: Parametric, Q2’26 Jul '26, counts as said2 times: Parametric, Q3’26 Oct '26, counts as saidfalling8/8100%8/8100%42/7953%87%n=1+tx from settlement history blended with transcripts92¢ Kalshi
Tailwind0 times: Tailwind, Q4’24 Jan '251 time: Tailwind, Q1’25 Apr '25, counts as said1 time: Tailwind, Q2’25 Jul '25, counts as said1 time: Tailwind, Q3’25 Oct '25, counts as said6 times: Tailwind, Q4’25 Jan '26, counts as said0 times: Tailwind, Q1’26 Apr '261 time: Tailwind, Q2’26 Jul '26, counts as said1 time: Tailwind, Q3’26 Oct '26, counts as saidrising6/875%4/850%20/7925%75%n=3+tx from settlement history blended with transcripts76¢ Kalshi
Investment Grade0 times: Investment Grade, Q4’24 Jan '251 time: Investment Grade, Q1’25 Apr '25, counts as said0 times: Investment Grade, Q2’25 Jul '251 time: Investment Grade, Q3’25 Oct '25, counts as said0 times: Investment Grade, Q4’25 Jan '261 time: Investment Grade, Q1’26 Apr '26, counts as said3 times: Investment Grade, Q2’26 Jul '26, counts as said2 times: Investment Grade, Q3’26 Oct '26, counts as saidrising5/862%4/850%57/7972%73%n=3+tx from settlement history blended with transcripts86¢ Kalshi
Tokenized / Tokenization0 times: Tokenized / Tokenization, Q4’24 Jan '250 times: Tokenized / Tokenization, Q1’25 Apr '250 times: Tokenized / Tokenization, Q2’25 Jul '250 times: Tokenized / Tokenization, Q3’25 Oct '251 time: Tokenized / Tokenization, Q4’25 Jan '26, counts as said1 time: Tokenized / Tokenization, Q1’26 Apr '26, counts as said0 times: Tokenized / Tokenization, Q2’26 Jul '262 times: Tokenized / Tokenization, Q3’26 Oct '26, counts as saidrising3/838%0/80%3/794%56%n=3+tx from settlement history blended with transcripts52¢ Kalshi
Private Credit2 times: Private Credit, Q4’24 Jan '25, counts as said0 times: Private Credit, Q1’25 Apr '252 times: Private Credit, Q2’25 Jul '25, counts as said0 times: Private Credit, Q3’25 Oct '252 times: Private Credit, Q4’25 Jan '26, counts as said8 times: Private Credit, Q1’26 Apr '26, counts as said0 times: Private Credit, Q2’26 Jul '260 times: Private Credit, Q3’26 Oct '26steady4/850%3/838%18/7923%55%n=3+tx from settlement history blended with transcripts36¢ Kalshi
Private Market0 times: Private Market, Q4’24 Jan '251 time: Private Market, Q1’25 Apr '25, counts as said0 times: Private Market, Q2’25 Jul '256 times: Private Market, Q3’25 Oct '25, counts as said0 times: Private Market, Q4’25 Jan '261 time: Private Market, Q1’26 Apr '26, counts as said0 times: Private Market, Q2’26 Jul '261 time: Private Market, Q3’26 Oct '26, counts as saidsteady4/850%1/812%10/7913%47%n=2+tx from settlement history blended with transcripts61¢ Kalshi
Middle East / Iran0 times: Middle East / Iran, Q4’24 Jan '250 times: Middle East / Iran, Q1’25 Apr '250 times: Middle East / Iran, Q2’25 Jul '250 times: Middle East / Iran, Q3’25 Oct '250 times: Middle East / Iran, Q4’25 Jan '261 time: Middle East / Iran, Q1’26 Apr '26, counts as said0 times: Middle East / Iran, Q2’26 Jul '262 times: Middle East / Iran, Q3’26 Oct '26, counts as saidrising2/825%2/825%13/7916%47%n=2+tx from settlement history blended with transcripts52¢ Kalshi
Basel0 times: Basel, Q4’24 Jan '251 time: Basel, Q1’25 Apr '25, counts as said0 times: Basel, Q2’25 Jul '251 time: Basel, Q3’25 Oct '25, counts as said0 times: Basel, Q4’25 Jan '264 times: Basel, Q1’26 Apr '26, counts as said0 times: Basel, Q2’26 Jul '260 times: Basel, Q3’26 Oct '26rising3/838%2/825%42/7953%37%n=3+tx from settlement history blended with transcripts26¢ Kalshi
Zero Hash0 times: Zero Hash, Q4’24 Jan '250 times: Zero Hash, Q1’25 Apr '250 times: Zero Hash, Q2’25 Jul '253 times: Zero Hash, Q3’25 Oct '25, counts as said2 times: Zero Hash, Q4’25 Jan '26, counts as said1 time: Zero Hash, Q1’26 Apr '26, counts as said0 times: Zero Hash, Q2’26 Jul '260 times: Zero Hash, Q3’26 Oct '26steady3/838%3/838%3/794%34%n=3+tx from settlement history blended with transcripts15¢ Kalshi
Buyback / Buy Back0 times: Buyback / Buy Back, Q4’24 Jan '250 times: Buyback / Buy Back, Q1’25 Apr '251 time: Buyback / Buy Back, Q2’25 Jul '25, counts as said3 times: Buyback / Buy Back, Q3’25 Oct '25, counts as said2 times: Buyback / Buy Back, Q4’25 Jan '26, counts as said0 times: Buyback / Buy Back, Q1’26 Apr '260 times: Buyback / Buy Back, Q2’26 Jul '260 times: Buyback / Buy Back, Q3’26 Oct '26steady3/838%2/825%38/7948%27%n=1+tx from settlement history blended with transcripts21¢ Kalshi
Municipal / Muni0 times: Municipal / Muni, Q4’24 Jan '250 times: Municipal / Muni, Q1’25 Apr '250 times: Municipal / Muni, Q2’25 Jul '250 times: Municipal / Muni, Q3’25 Oct '250 times: Municipal / Muni, Q4’25 Jan '260 times: Municipal / Muni, Q1’26 Apr '260 times: Municipal / Muni, Q2’26 Jul '260 times: Municipal / Muni, Q3’26 Oct '26steady0/80%0/80%29/7937%14%transcripts from the transcript model31¢ Kalshi
North Havennever said0 times: North Haven, Q4’24 Jan '250 times: North Haven, Q1’25 Apr '250 times: North Haven, Q2’25 Jul '250 times: North Haven, Q3’25 Oct '250 times: North Haven, Q4’25 Jan '260 times: North Haven, Q1’26 Apr '260 times: North Haven, Q2’26 Jul '260 times: North Haven, Q3’26 Oct '26steady0/80%0/80%0/790%14%transcripts from the transcript model33¢ Kalshi
SpaceXnever said0 times: SpaceX, Q4’24 Jan '250 times: SpaceX, Q1’25 Apr '250 times: SpaceX, Q2’25 Jul '250 times: SpaceX, Q3’25 Oct '250 times: SpaceX, Q4’25 Jan '260 times: SpaceX, Q1’26 Apr '260 times: SpaceX, Q2’26 Jul '260 times: SpaceX, Q3’26 Oct '26steady0/80%0/80%0/790%11%n=1+tx from settlement history blended with transcripts7¢ Kalshi
Oil0 times: Oil, Q4’24 Jan '250 times: Oil, Q1’25 Apr '250 times: Oil, Q2’25 Jul '250 times: Oil, Q3’25 Oct '250 times: Oil, Q4’25 Jan '260 times: Oil, Q1’26 Apr '260 times: Oil, Q2’26 Jul '260 times: Oil, Q3’26 Oct '26steady0/80%0/80%15/7919%9%n=3+tx from settlement history blended with transcripts10¢ 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 20, 2026 15:46 UTC.

Every word

1–6 of 6, most settled first
Morgan Stanley: every word with settled markets, most settled first
WordQ4’24Jan '25Q1’25Apr '25Q2’25Jul '25Q3’25Oct '25Q4’25Jan '26Q1’26Apr '26Q2’26Jul '26Q3’26last callTrendLast 8ScriptedAll-timeProbability
Recession0 times: Recession, Q4’24 Jan '252 times: Recession, Q1’25 Apr '25, counts as said0 times: Recession, Q2’25 Jul '252 times: Recession, Q3’25 Oct '25, counts as said0 times: Recession, Q4’25 Jan '260 times: Recession, Q1’26 Apr '260 times: Recession, Q2’26 Jul '260 times: Recession, Q3’26 Oct '26falling2/825%2/825%14/7918%13%n=3+tx from settlement history blended with transcripts
Buyback0 times: Buyback, Q4’24 Jan '250 times: Buyback, Q1’25 Apr '251 time: Buyback, Q2’25 Jul '25, counts as said3 times: Buyback, Q3’25 Oct '25, counts as said2 times: Buyback, Q4’25 Jan '26, counts as said0 times: Buyback, Q1’26 Apr '260 times: Buyback, Q2’26 Jul '260 times: Buyback, Q3’26 Oct '26steady3/838%2/825%38/7948%26%n=2+tx from settlement history blended with transcripts
Galaxy Digitalnever said0 times: Galaxy Digital, Q4’24 Jan '250 times: Galaxy Digital, Q1’25 Apr '250 times: Galaxy Digital, Q2’25 Jul '250 times: Galaxy Digital, Q3’25 Oct '250 times: Galaxy Digital, Q4’25 Jan '260 times: Galaxy Digital, Q1’26 Apr '260 times: Galaxy Digital, Q2’26 Jul '260 times: Galaxy Digital, Q3’26 Oct '26steady0/80%0/80%0/790%10%n=2+tx from settlement history blended with transcripts
Headwind1 time: Headwind, Q4’24 Jan '25, counts as said0 times: Headwind, Q1’25 Apr '251 time: Headwind, Q2’25 Jul '25, counts as said0 times: Headwind, Q3’25 Oct '253 times: Headwind, Q4’25 Jan '26, counts as said0 times: Headwind, Q1’26 Apr '260 times: Headwind, Q2’26 Jul '262 times: Headwind, Q3’26 Oct '26, counts as saidrising4/850%3/838%28/7935%46%n=2+tx from settlement history blended with transcripts
Tariff0 times: Tariff, Q4’24 Jan '252 times: Tariff, Q1’25 Apr '25, counts as said3 times: Tariff, Q2’25 Jul '25, counts as said0 times: Tariff, Q3’25 Oct '250 times: Tariff, Q4’25 Jan '260 times: Tariff, Q1’26 Apr '260 times: Tariff, Q2’26 Jul '260 times: Tariff, Q3’26 Oct '26falling2/825%2/825%3/794%15%n=2+tx from settlement history blended with transcripts
Irannever said0 times: Iran, Q4’24 Jan '250 times: Iran, Q1’25 Apr '250 times: Iran, Q2’25 Jul '250 times: Iran, Q3’25 Oct '250 times: Iran, Q4’25 Jan '260 times: Iran, Q1’26 Apr '260 times: Iran, Q2’26 Jul '260 times: Iran, Q3’26 Oct '26steady0/80%0/80%0/790%11%n=1+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 41 of 41 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Oct 14, 2026Earnings call FY26 Q3Speaker-labelled transcript157 yes · 8 no15/15 (100%)
Jul 15, 2026Earnings call FY26 Q2Speaker-labelled transcript142 yes · 12 no14/14 (100%)
Apr 15, 2026Earnings call FY26 Q1Speaker-labelled transcript125 yes · 7 no12/12 (100%)
Jan 15, 2026Earnings call FY25 Q4Speaker-labelled transcript0––
Oct 15, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Jul 16, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Apr 11, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Jan 16, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Oct 16, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Jul 16, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Apr 16, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Jan 16, 2024Earnings call FY23 Q4Speaker-labelled transcript0––

Citeparrot.markets, “Morgan Stanley (MS): earnings call word history”, as of Oct 24, 2026, https://parrot.markets/earnings/MS (CC BY 4.0)

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