Futu (FUTU)

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As of Oct 23, 2026, Kalshi has settled 12 word markets on Futu’s earnings calls since 2026, on 12 different words. Next call: Nov 17, 2026 (11 words listed).

Next: Earnings call ·

11 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Futu: the words listed for Tue, Nov 17, how often each was said on past occasions, and the probability for this one
WordQ3’24Nov '24Q4’24Mar '25Q1’25May '25Q2’25Aug '25Q3’25year agoQ4’25Mar '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Australia1 time: Australia, Q3’24 Nov '24, counts as said3 times: Australia, Q4’24 Mar '25, counts as said4 times: Australia, Q1’25 May '25, counts as said1 time: Australia, Q2’25 Aug '25, counts as said0 times: Australia, Q3’25 Nov '251 time: Australia, Q4’25 Mar '26, counts as said1 time: Australia, Q1’26 May '26, counts as said1 time: Australia, Q2’26 Aug '26, counts as saidfalling7/888%6/875%15/3050%66%n=1+tx from settlement history blended with transcripts46¢ Kalshi
CFTC0 times: CFTC, Q3’24 Nov '240 times: CFTC, Q4’24 Mar '250 times: CFTC, Q1’25 May '250 times: CFTC, Q2’25 Aug '250 times: CFTC, Q3’25 Nov '250 times: CFTC, Q4’25 Mar '260 times: CFTC, Q1’26 May '261 time: CFTC, Q2’26 Aug '26, counts as saidrising1/812%0/80%1/303%38%n=1+tx from settlement history blended with transcripts46¢ Kalshi
PantherTrade0 times: PantherTrade, Q3’24 Nov '240 times: PantherTrade, Q4’24 Mar '250 times: PantherTrade, Q1’25 May '250 times: PantherTrade, Q2’25 Aug '250 times: PantherTrade, Q3’25 Nov '250 times: PantherTrade, Q4’25 Mar '267 times: PantherTrade, Q1’26 May '26, counts as said0 times: PantherTrade, Q2’26 Aug '26rising1/812%1/812%1/303%37%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Tokenized / Tokenization0 times: Tokenized / Tokenization, Q3’24 Nov '240 times: Tokenized / Tokenization, Q4’24 Mar '250 times: Tokenized / Tokenization, Q1’25 May '252 times: Tokenized / Tokenization, Q2’25 Aug '25, counts as said2 times: Tokenized / Tokenization, Q3’25 Nov '25, counts as said0 times: Tokenized / Tokenization, Q4’25 Mar '261 time: Tokenized / Tokenization, Q1’26 May '26, counts as said0 times: Tokenized / Tokenization, Q2’26 Aug '26steady3/838%1/812%3/3010%32%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Staking0 times: Staking, Q3’24 Nov '240 times: Staking, Q4’24 Mar '250 times: Staking, Q1’25 May '251 time: Staking, Q2’25 Aug '25, counts as said0 times: Staking, Q3’25 Nov '250 times: Staking, Q4’25 Mar '263 times: Staking, Q1’26 May '26, counts as said0 times: Staking, Q2’26 Aug '26rising2/825%1/812%2/307%30%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Fraud0 times: Fraud, Q3’24 Nov '240 times: Fraud, Q4’24 Mar '250 times: Fraud, Q1’25 May '250 times: Fraud, Q2’25 Aug '250 times: Fraud, Q3’25 Nov '251 time: Fraud, Q4’25 Mar '26, counts as said1 time: Fraud, Q1’26 May '26, counts as said0 times: Fraud, Q2’26 Aug '26rising2/825%1/812%2/307%26%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Headwind0 times: Headwind, Q3’24 Nov '240 times: Headwind, Q4’24 Mar '250 times: Headwind, Q1’25 May '250 times: Headwind, Q2’25 Aug '250 times: Headwind, Q3’25 Nov '252 times: Headwind, Q4’25 Mar '26, counts as said0 times: Headwind, Q1’26 May '260 times: Headwind, Q2’26 Aug '26rising1/812%1/812%1/303%23%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Kalshi0 times: Kalshi, Q3’24 Nov '240 times: Kalshi, Q4’24 Mar '250 times: Kalshi, Q1’25 May '250 times: Kalshi, Q2’25 Aug '250 times: Kalshi, Q3’25 Nov '250 times: Kalshi, Q4’25 Mar '262 times: Kalshi, Q1’26 May '26, counts as said0 times: Kalshi, Q2’26 Aug '26rising1/812%0/80%1/303%23%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Perp / Perpetual0 times: Perp / Perpetual, Q3’24 Nov '240 times: Perp / Perpetual, Q4’24 Mar '250 times: Perp / Perpetual, Q1’25 May '250 times: Perp / Perpetual, Q2’25 Aug '250 times: Perp / Perpetual, Q3’25 Nov '250 times: Perp / Perpetual, Q4’25 Mar '261 time: Perp / Perpetual, Q1’26 May '26, counts as said0 times: Perp / Perpetual, Q2’26 Aug '26steady1/812%0/80%1/303%19%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Tailwind0 times: Tailwind, Q3’24 Nov '240 times: Tailwind, Q4’24 Mar '252 times: Tailwind, Q1’25 May '25, counts as said0 times: Tailwind, Q2’25 Aug '250 times: Tailwind, Q3’25 Nov '250 times: Tailwind, Q4’25 Mar '260 times: Tailwind, Q1’26 May '260 times: Tailwind, Q2’26 Aug '26falling1/812%1/812%3/3010%14%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Agenticnever said0 times: Agentic, Q3’24 Nov '240 times: Agentic, Q4’24 Mar '250 times: Agentic, Q1’25 May '250 times: Agentic, Q2’25 Aug '250 times: Agentic, Q3’25 Nov '250 times: Agentic, Q4’25 Mar '260 times: Agentic, Q1’26 May '260 times: Agentic, Q2’26 Aug '26steady0/80%0/80%0/300%11%n=1+tx from settlement history blended with transcripts46¢ 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 22, 2026 23:54 UTC.

Every word

1–1 of 1, most settled first
Futu: every word with settled markets, most settled first
WordQ3’24Nov '24Q4’24Mar '25Q1’25May '25Q2’25Aug '25Q3’25Nov '25Q4’25Mar '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
Expert0 times: Expert, Q3’24 Nov '240 times: Expert, Q4’24 Mar '250 times: Expert, Q1’25 May '250 times: Expert, Q2’25 Aug '250 times: Expert, Q3’25 Nov '250 times: Expert, Q4’25 Mar '260 times: Expert, Q1’26 May '260 times: Expert, Q2’26 Aug '26steady0/80%0/80%1/303%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 12 of 12 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Aug 20, 2026Earnings call FY26 Q2Speaker-labelled transcript122 yes · 10 no12/12 (100%)
May 28, 2026Earnings call FY26 Q1Speaker-labelled transcript0––
Mar 12, 2026Earnings call FY25 Q4Speaker-labelled transcript0––
Nov 18, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Aug 20, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
May 29, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Mar 13, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Nov 19, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Aug 20, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
May 28, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Mar 14, 2024Earnings call FY23 Q4Speaker-labelled transcript0––
Nov 23, 2023Earnings call FY23 Q3Speaker-labelled transcript0––

Citeparrot.markets, “Futu (FUTU): earnings call word history”, as of Oct 23, 2026, https://parrot.markets/earnings/FUTU (CC BY 4.0)

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