Robinhood (HOOD)

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As of Oct 24, 2026, Kalshi and Polymarket have settled 94 word markets on Robinhood’s earnings calls and other events since 2025, on 47 different words. Next call: Oct 27, 2026 (26 words listed).

“Tokenization” on the Jul 29 call · 8:24 · said 3 times. Play the clip

Next: Earnings call ·

26 words listed · Occasion page

Who counts: Kalshi: company speakers + operator Polymarket: anyone

Kalshi Polymarket

Robinhood: the words listed for Tue, Oct 27, how often each was said on past occasions, and the probability for this one
WordQ3’24Oct '24Q4’24Feb '25Q1’25Apr '25Q2’25Jul '25Q3’25year agoQ4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Optionsevery call18 times: Options, Q3’24 Oct '24, counts as said15 times: Options, Q4’24 Feb '25, counts as said12 times: Options, Q1’25 Apr '25, counts as said10 times: Options, Q2’25 Jul '25, counts as said8 times: Options, Q3’25 Nov '25, counts as said6 times: Options, Q4’25 Feb '26, counts as said11 times: Options, Q1’26 Apr '26, counts as said15 times: Options, Q2’26 Jul '26, counts as saidfalling8/8100%8/8100%21/21100%94%transcripts from the transcript model78¢ Polymarket
Tokenization0 times: Tokenization, Q3’24 Oct '242 times: Tokenization, Q4’24 Feb '25, counts as said0 times: Tokenization, Q1’25 Apr '2512 times: Tokenization, Q2’25 Jul '25, counts as said9 times: Tokenization, Q3’25 Nov '25, counts as said10 times: Tokenization, Q4’25 Feb '26, counts as said6 times: Tokenization, Q1’26 Apr '26, counts as said3 times: Tokenization, Q2’26 Jul '26, counts as saidrising6/875%5/862%6/2129%93%n=4+tx from settlement history blended with transcripts88¢ Kalshi
Credit Card6 times: Credit Card, Q3’24 Oct '24, counts as said7 times: Credit Card, Q4’24 Feb '25, counts as said7 times: Credit Card, Q1’25 Apr '25, counts as said0 times: Credit Card, Q2’25 Jul '253 times: Credit Card, Q3’25 Nov '25, counts as said2 times: Credit Card, Q4’25 Feb '26, counts as said7 times: Credit Card, Q1’26 Apr '26, counts as said7 times: Credit Card, Q2’26 Jul '26, counts as saidsteady7/888%7/888%14/2167%91%n=3+tx from settlement history blended with transcripts90¢ Kalshi
Perp / Perpetual0 times: Perp / Perpetual, Q3’24 Oct '240 times: Perp / Perpetual, Q4’24 Feb '250 times: Perp / Perpetual, Q1’25 Apr '251 time: Perp / Perpetual, Q2’25 Jul '25, counts as said0 times: Perp / Perpetual, Q3’25 Nov '252 times: Perp / Perpetual, Q4’25 Feb '26, counts as said8 times: Perp / Perpetual, Q1’26 Apr '26, counts as said11 times: Perp / Perpetual, Q2’26 Jul '26, counts as saidrising4/850%1/812%4/2119%89%n=3+tx from settlement history blended with transcripts90¢ Kalshi
UK / United Kingdom0 times: UK / United Kingdom, Q3’24 Oct '244 times: UK / United Kingdom, Q4’24 Feb '25, counts as said1 time: UK / United Kingdom, Q1’25 Apr '25, counts as said0 times: UK / United Kingdom, Q2’25 Jul '253 times: UK / United Kingdom, Q3’25 Nov '25, counts as said8 times: UK / United Kingdom, Q4’25 Feb '26, counts as said4 times: UK / United Kingdom, Q1’26 Apr '26, counts as said1 time: UK / United Kingdom, Q2’26 Jul '26, counts as saidrising6/875%4/850%15/2171%87%n=1+tx from settlement history blended with transcripts74¢ Kalshi
Acquired / Acquisition0 times: Acquired / Acquisition, Q3’24 Oct '241 time: Acquired / Acquisition, Q4’24 Feb '25, counts as said5 times: Acquired / Acquisition, Q1’25 Apr '25, counts as said5 times: Acquired / Acquisition, Q2’25 Jul '25, counts as said2 times: Acquired / Acquisition, Q3’25 Nov '25, counts as said5 times: Acquired / Acquisition, Q4’25 Feb '26, counts as said3 times: Acquired / Acquisition, Q1’26 Apr '26, counts as said3 times: Acquired / Acquisition, Q2’26 Jul '26, counts as saidrising7/888%6/875%16/2176%84%transcripts from the transcript model84¢ Kalshi
Leverageevery call1 time: Leverage, Q3’24 Oct '24, counts as said1 time: Leverage, Q4’24 Feb '25, counts as said1 time: Leverage, Q1’25 Apr '25, counts as said1 time: Leverage, Q2’25 Jul '25, counts as said1 time: Leverage, Q3’25 Nov '25, counts as said1 time: Leverage, Q4’25 Feb '26, counts as said4 times: Leverage, Q1’26 Apr '26, counts as said3 times: Leverage, Q2’26 Jul '26, counts as saidrising8/8100%4/850%21/21100%84%transcripts from the transcript model78¢ Polymarket
Robinhood Chain0 times: Robinhood Chain, Q3’24 Oct '240 times: Robinhood Chain, Q4’24 Feb '250 times: Robinhood Chain, Q1’25 Apr '252 times: Robinhood Chain, Q2’25 Jul '25, counts as said0 times: Robinhood Chain, Q3’25 Nov '253 times: Robinhood Chain, Q4’25 Feb '26, counts as said1 time: Robinhood Chain, Q1’26 Apr '26, counts as said10 times: Robinhood Chain, Q2’26 Jul '26, counts as saidrising4/850%3/838%4/2119%83%n=1+tx from settlement history blended with transcripts86¢ Kalshi
Trump0 times: Trump, Q3’24 Oct '241 time: Trump, Q4’24 Feb '25, counts as said0 times: Trump, Q1’25 Apr '250 times: Trump, Q2’25 Jul '250 times: Trump, Q3’25 Nov '253 times: Trump, Q4’25 Feb '26, counts as said13 times: Trump, Q1’26 Apr '26, counts as said10 times: Trump, Q2’26 Jul '26, counts as saidrising4/850%2/825%4/2119%81%n=3+tx from settlement history blended with transcripts76¢ Polymarket
Agent / Agentic0 times: Agent / Agentic, Q3’24 Oct '240 times: Agent / Agentic, Q4’24 Feb '250 times: Agent / Agentic, Q1’25 Apr '250 times: Agent / Agentic, Q2’25 Jul '250 times: Agent / Agentic, Q3’25 Nov '256 times: Agent / Agentic, Q4’25 Feb '26, counts as said11 times: Agent / Agentic, Q1’26 Apr '26, counts as said16 times: Agent / Agentic, Q2’26 Jul '26, counts as saidrising3/838%3/838%4/2119%81%n=1+tx from settlement history blended with transcripts82¢ Polymarket
Gold5+ times34 times: Gold 5+ times, Q3’24 Oct '24, counts as said31 times: Gold 5+ times, Q4’24 Feb '25, counts as said31 times: Gold 5+ times, Q1’25 Apr '25, counts as said26 times: Gold 5+ times, Q2’25 Jul '25, counts as said3 times: Gold 5+ times, Q3’25 Nov '25, below the threshold10 times: Gold 5+ times, Q4’25 Feb '26, counts as said21 times: Gold 5+ times, Q1’26 Apr '26, counts as said14 times: Gold 5+ times, Q2’26 Jul '26, counts as saidfalling7/888%6/875%17/2181%78%transcripts from the transcript model72¢ Polymarket
SIG / Susquehanna0 times: SIG / Susquehanna, Q3’24 Oct '240 times: SIG / Susquehanna, Q4’24 Feb '250 times: SIG / Susquehanna, Q1’25 Apr '250 times: SIG / Susquehanna, Q2’25 Jul '250 times: SIG / Susquehanna, Q3’25 Nov '252 times: SIG / Susquehanna, Q4’25 Feb '26, counts as said3 times: SIG / Susquehanna, Q1’26 Apr '26, counts as said1 time: SIG / Susquehanna, Q2’26 Jul '26, counts as saidrising3/838%2/825%3/2114%74%n=3+tx from settlement history blended with transcripts59¢ Kalshi
Crypto / Cryptocurrency12+ times7 times: Crypto / Cryptocurrency 12+ times, Q3’24 Oct '24, below the threshold31 times: Crypto / Cryptocurrency 12+ times, Q4’24 Feb '25, counts as said43 times: Crypto / Cryptocurrency 12+ times, Q1’25 Apr '25, counts as said32 times: Crypto / Cryptocurrency 12+ times, Q2’25 Jul '25, counts as said17 times: Crypto / Cryptocurrency 12+ times, Q3’25 Nov '25, counts as said18 times: Crypto / Cryptocurrency 12+ times, Q4’25 Feb '26, counts as said31 times: Crypto / Cryptocurrency 12+ times, Q1’26 Apr '26, counts as said12 times: Crypto / Cryptocurrency 12+ times, Q2’26 Jul '26, counts as saidsteady7/888%0/80%20/2195%72%transcripts from the transcript model73¢ Polymarket
Prediction10+ times1 time: Prediction 10+ times, Q3’24 Oct '24, below the threshold3 times: Prediction 10+ times, Q4’24 Feb '25, below the threshold10 times: Prediction 10+ times, Q1’25 Apr '25, counts as said8 times: Prediction 10+ times, Q2’25 Jul '25, below the threshold18 times: Prediction 10+ times, Q3’25 Nov '25, counts as said35 times: Prediction 10+ times, Q4’25 Feb '26, counts as said13 times: Prediction 10+ times, Q1’26 Apr '26, counts as said18 times: Prediction 10+ times, Q2’26 Jul '26, counts as saidrising5/862%1/812%5/2124%71%transcripts from the transcript model79¢ Polymarket
Social3+ times3 times: Social (3+ times), Q3’24 Oct '24, counts as said1 time: Social (3+ times), Q4’24 Feb '25, below the threshold2 times: Social (3+ times), Q1’25 Apr '25, below the threshold0 times: Social (3+ times), Q2’25 Jul '254 times: Social (3+ times), Q3’25 Nov '25, counts as said8 times: Social (3+ times), Q4’25 Feb '26, counts as said6 times: Social (3+ times), Q1’26 Apr '26, counts as said4 times: Social (3+ times), Q2’26 Jul '26, counts as saidrising5/862%2/825%5/2124%71%transcripts from the transcript model83¢ Kalshi
Blockchain0 times: Blockchain, Q3’24 Oct '240 times: Blockchain, Q4’24 Feb '250 times: Blockchain, Q1’25 Apr '254 times: Blockchain, Q2’25 Jul '25, counts as said2 times: Blockchain, Q3’25 Nov '25, counts as said2 times: Blockchain, Q4’25 Feb '26, counts as said0 times: Blockchain, Q1’26 Apr '262 times: Blockchain, Q2’26 Jul '26, counts as saidrising4/850%2/825%5/2124%68%n=4+tx from settlement history blended with transcripts65¢ Kalshi
Retirement3+ times2 times: Retirement (3+ times), Q3’24 Oct '24, below the threshold2 times: Retirement (3+ times), Q4’24 Feb '25, below the threshold4 times: Retirement (3+ times), Q1’25 Apr '25, counts as said1 time: Retirement (3+ times), Q2’25 Jul '25, below the threshold3 times: Retirement (3+ times), Q3’25 Nov '25, counts as said5 times: Retirement (3+ times), Q4’25 Feb '26, counts as said4 times: Retirement (3+ times), Q1’26 Apr '26, counts as said4 times: Retirement (3+ times), Q2’26 Jul '26, counts as saidrising5/862%0/80%17/2181%65%transcripts from the transcript model78¢ Kalshi
Agentic3+ times0 times: Agentic (3+ times), Q3’24 Oct '240 times: Agentic (3+ times), Q4’24 Feb '250 times: Agentic (3+ times), Q1’25 Apr '250 times: Agentic (3+ times), Q2’25 Jul '250 times: Agentic (3+ times), Q3’25 Nov '250 times: Agentic (3+ times), Q4’25 Feb '265 times: Agentic (3+ times), Q1’26 Apr '26, counts as said7 times: Agentic (3+ times), Q2’26 Jul '26, counts as saidrising2/825%1/812%2/2110%52%transcripts from the transcript model76¢ Kalshi
AI / Artificial Intelligence10+ times0 times: AI / Artificial Intelligence 10+ times, Q3’24 Oct '243 times: AI / Artificial Intelligence 10+ times, Q4’24 Feb '25, below the threshold1 time: AI / Artificial Intelligence 10+ times, Q1’25 Apr '25, below the threshold2 times: AI / Artificial Intelligence 10+ times, Q2’25 Jul '25, below the threshold6 times: AI / Artificial Intelligence 10+ times, Q3’25 Nov '25, below the threshold22 times: AI / Artificial Intelligence 10+ times, Q4’25 Feb '26, counts as said30 times: AI / Artificial Intelligence 10+ times, Q1’26 Apr '26, counts as said4 times: AI / Artificial Intelligence 10+ times, Q2’26 Jul '26, below the thresholdrising2/825%2/825%2/2110%49%transcripts from the transcript model31¢ Polymarket
Kalshi0 times: Kalshi, Q3’24 Oct '240 times: Kalshi, Q4’24 Feb '250 times: Kalshi, Q1’25 Apr '250 times: Kalshi, Q2’25 Jul '252 times: Kalshi, Q3’25 Nov '25, counts as said0 times: Kalshi, Q4’25 Feb '260 times: Kalshi, Q1’26 Apr '261 time: Kalshi, Q2’26 Jul '26, counts as saidrising2/825%0/80%2/2110%48%n=3+tx from settlement history blended with transcripts26¢ Kalshi
Bitcoin0 times: Bitcoin, Q3’24 Oct '240 times: Bitcoin, Q4’24 Feb '250 times: Bitcoin, Q1’25 Apr '250 times: Bitcoin, Q2’25 Jul '251 time: Bitcoin, Q3’25 Nov '25, counts as said2 times: Bitcoin, Q4’25 Feb '26, counts as said2 times: Bitcoin, Q1’26 Apr '26, counts as said0 times: Bitcoin, Q2’26 Jul '26rising3/838%1/812%7/2133%47%n=4+tx from settlement history blended with transcripts50¢ Kalshi
Anthropic / Claude0 times: Anthropic / Claude, Q3’24 Oct '240 times: Anthropic / Claude, Q4’24 Feb '250 times: Anthropic / Claude, Q1’25 Apr '250 times: Anthropic / Claude, Q2’25 Jul '250 times: Anthropic / Claude, Q3’25 Nov '250 times: Anthropic / Claude, Q4’25 Feb '260 times: Anthropic / Claude, Q1’26 Apr '261 time: Anthropic / Claude, Q2’26 Jul '26, counts as saidrising1/812%0/80%1/215%39%transcripts from the transcript model30¢ Kalshi
Weekend0 times: Weekend, Q3’24 Oct '241 time: Weekend, Q4’24 Feb '25, counts as said1 time: Weekend, Q1’25 Apr '25, counts as said0 times: Weekend, Q2’25 Jul '250 times: Weekend, Q3’25 Nov '250 times: Weekend, Q4’25 Feb '261 time: Weekend, Q1’26 Apr '26, counts as said0 times: Weekend, Q2’26 Jul '26steady3/838%0/80%4/2119%36%transcripts from the transcript model55¢ Polymarket
Regulation0 times: Regulation, Q3’24 Oct '241 time: Regulation, Q4’24 Feb '25, counts as said1 time: Regulation, Q1’25 Apr '25, counts as said0 times: Regulation, Q2’25 Jul '250 times: Regulation, Q3’25 Nov '250 times: Regulation, Q4’25 Feb '260 times: Regulation, Q1’26 Apr '260 times: Regulation, Q2’26 Jul '26falling2/825%0/80%9/2143%26%transcripts from the transcript model28¢ Polymarket
Convertible0 times: Convertible, Q3’24 Oct '240 times: Convertible, Q4’24 Feb '250 times: Convertible, Q1’25 Apr '250 times: Convertible, Q2’25 Jul '250 times: Convertible, Q3’25 Nov '250 times: Convertible, Q4’25 Feb '260 times: Convertible, Q1’26 Apr '260 times: Convertible, Q2’26 Jul '26steady0/80%0/80%1/215%13%n=1+tx from settlement history blended with transcripts12¢ Kalshi
Memecoinnever said0 times: Memecoin, Q3’24 Oct '240 times: Memecoin, Q4’24 Feb '250 times: Memecoin, Q1’25 Apr '250 times: Memecoin, Q2’25 Jul '250 times: Memecoin, Q3’25 Nov '250 times: Memecoin, Q4’25 Feb '260 times: Memecoin, Q1’26 Apr '260 times: Memecoin, Q2’26 Jul '26steady0/80%0/80%0/210%13%n=1+tx from settlement history blended with transcripts16¢ 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 23, 2026 21:25 UTC.

Every word

1–35 of 35, most settled first
Robinhood: every word with settled markets, most settled first
WordQ3’24Oct '24Q4’24Feb '25Q1’25Apr '25Q2’25Jul '25Q3’25Nov '25Q4’25Feb '26Q1’26Apr '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
Acquisition0 times: Acquisition, Q3’24 Oct '241 time: Acquisition, Q4’24 Feb '25, counts as said5 times: Acquisition, Q1’25 Apr '25, counts as said4 times: Acquisition, Q2’25 Jul '25, counts as said2 times: Acquisition, Q3’25 Nov '25, counts as said5 times: Acquisition, Q4’25 Feb '26, counts as said3 times: Acquisition, Q1’26 Apr '26, counts as said3 times: Acquisition, Q2’26 Jul '26, counts as saidrising7/888%6/875%15/2171%89%n=4+tx from settlement history blended with transcripts
Retirementevery call2 times: Retirement, Q3’24 Oct '24, counts as said2 times: Retirement, Q4’24 Feb '25, counts as said4 times: Retirement, Q1’25 Apr '25, counts as said1 time: Retirement, Q2’25 Jul '25, counts as said3 times: Retirement, Q3’25 Nov '25, counts as said5 times: Retirement, Q4’25 Feb '26, counts as said4 times: Retirement, Q1’26 Apr '26, counts as said4 times: Retirement, Q2’26 Jul '26, counts as saidrising8/8100%6/875%21/21100%93%n=4+tx from settlement history blended with transcripts
Social3 times: Social, Q3’24 Oct '24, counts as said1 time: Social, Q4’24 Feb '25, counts as said2 times: Social, Q1’25 Apr '25, counts as said0 times: Social, Q2’25 Jul '254 times: Social, Q3’25 Nov '25, counts as said8 times: Social, Q4’25 Feb '26, counts as said6 times: Social, Q1’26 Apr '26, counts as said4 times: Social, Q2’26 Jul '26, counts as saidrising7/888%4/850%9/2143%92%n=4+tx from settlement history blended with transcripts
International0 times: International, Q3’24 Oct '242 times: International, Q4’24 Feb '25, counts as said4 times: International, Q1’25 Apr '25, counts as said2 times: International, Q2’25 Jul '25, counts as said5 times: International, Q3’25 Nov '25, counts as said12 times: International, Q4’25 Feb '26, counts as said1 time: International, Q1’26 Apr '26, counts as said2 times: International, Q2’26 Jul '26, counts as saidrising7/888%6/875%16/2176%91%n=3+tx from settlement history blended with transcripts
Indonesia0 times: Indonesia, Q3’24 Oct '240 times: Indonesia, Q4’24 Feb '250 times: Indonesia, Q1’25 Apr '250 times: Indonesia, Q2’25 Jul '250 times: Indonesia, Q3’25 Nov '250 times: Indonesia, Q4’25 Feb '261 time: Indonesia, Q1’26 Apr '26, counts as said1 time: Indonesia, Q2’26 Jul '26, counts as saidrising2/825%0/80%2/2110%50%n=3+tx from settlement history blended with transcripts
Prediction Market0 times: Prediction Market, Q3’24 Oct '242 times: Prediction Market, Q4’24 Feb '25, counts as said6 times: Prediction Market, Q1’25 Apr '25, counts as said7 times: Prediction Market, Q2’25 Jul '25, counts as said14 times: Prediction Market, Q3’25 Nov '25, counts as said28 times: Prediction Market, Q4’25 Feb '26, counts as said10 times: Prediction Market, Q1’26 Apr '26, counts as said13 times: Prediction Market, Q2’26 Jul '26, counts as saidrising7/888%6/875%7/2133%96%n=2+tx from settlement history blended with transcripts
SpaceX0 times: SpaceX, Q3’24 Oct '240 times: SpaceX, Q4’24 Feb '252 times: SpaceX, Q1’25 Apr '25, counts as said0 times: SpaceX, Q2’25 Jul '251 time: SpaceX, Q3’25 Nov '25, counts as said2 times: SpaceX, Q4’25 Feb '26, counts as said0 times: SpaceX, Q1’26 Apr '261 time: SpaceX, Q2’26 Jul '26, counts as saidrising4/850%1/812%4/2119%28%n=2+tx from settlement history blended with transcripts
AI0 times: AI, Q3’24 Oct '242 times: AI, Q4’24 Feb '25, counts as said1 time: AI, Q1’25 Apr '25, counts as said2 times: AI, Q2’25 Jul '25, counts as said6 times: AI, Q3’25 Nov '25, counts as said22 times: AI, Q4’25 Feb '26, counts as said30 times: AI, Q1’26 Apr '26, counts as said4 times: AI, Q2’26 Jul '26, counts as saidrising7/888%4/850%11/2152%75%n=1+tx from settlement history blended with transcripts
AI / Artificial Intelligence0 times: AI / Artificial Intelligence, Q3’24 Oct '243 times: AI / Artificial Intelligence, Q4’24 Feb '25, counts as said1 time: AI / Artificial Intelligence, Q1’25 Apr '25, counts as said2 times: AI / Artificial Intelligence, Q2’25 Jul '25, counts as said6 times: AI / Artificial Intelligence, Q3’25 Nov '25, counts as said15 times: AI / Artificial Intelligence, Q4’25 Feb '26, counts as said26 times: AI / Artificial Intelligence, Q1’26 Apr '26, counts as said2 times: AI / Artificial Intelligence, Q2’26 Jul '26, counts as saidrising7/888%4/850%11/2152%75%n=1+tx from settlement history blended with transcripts
AI / Artificial Intelligence3+ times0 times: AI / Artificial Intelligence 3+ times, Q3’24 Oct '243 times: AI / Artificial Intelligence 3+ times, Q4’24 Feb '25, counts as said1 time: AI / Artificial Intelligence 3+ times, Q1’25 Apr '25, below the threshold2 times: AI / Artificial Intelligence 3+ times, Q2’25 Jul '25, below the threshold6 times: AI / Artificial Intelligence 3+ times, Q3’25 Nov '25, counts as said22 times: AI / Artificial Intelligence 3+ times, Q4’25 Feb '26, counts as said30 times: AI / Artificial Intelligence 3+ times, Q1’26 Apr '26, counts as said4 times: AI / Artificial Intelligence 3+ times, Q2’26 Jul '26, counts as saidrising5/862%2/825%8/2138%86%n=1+tx from settlement history blended with transcripts
Billion10+ times20 times: Billion 10+ times, Q3’24 Oct '24, counts as said18 times: Billion 10+ times, Q4’24 Feb '25, counts as said16 times: Billion 10+ times, Q1’25 Apr '25, counts as said18 times: Billion 10+ times, Q2’25 Jul '25, counts as said14 times: Billion 10+ times, Q3’25 Nov '25, counts as said21 times: Billion 10+ times, Q4’25 Feb '26, counts as said20 times: Billion 10+ times, Q1’26 Apr '26, counts as said28 times: Billion 10+ times, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%20/2195%83%n=1+tx from settlement history blended with transcripts
Crypto / Bitcoinevery call7 times: Crypto / Bitcoin, Q3’24 Oct '24, counts as said30 times: Crypto / Bitcoin, Q4’24 Feb '25, counts as said43 times: Crypto / Bitcoin, Q1’25 Apr '25, counts as said32 times: Crypto / Bitcoin, Q2’25 Jul '25, counts as said18 times: Crypto / Bitcoin, Q3’25 Nov '25, counts as said20 times: Crypto / Bitcoin, Q4’25 Feb '26, counts as said33 times: Crypto / Bitcoin, Q1’26 Apr '26, counts as said12 times: Crypto / Bitcoin, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%21/21100%75%n=1+tx from settlement history blended with transcripts
Databricksnever said0 times: Databricks, Q3’24 Oct '240 times: Databricks, Q4’24 Feb '250 times: Databricks, Q1’25 Apr '250 times: Databricks, Q2’25 Jul '250 times: Databricks, Q3’25 Nov '250 times: Databricks, Q4’25 Feb '260 times: Databricks, Q1’26 Apr '260 times: Databricks, Q2’26 Jul '26steady0/80%0/80%0/210%75%n=1+tx from settlement history blended with transcripts
Democratize0 times: Democratize, Q3’24 Oct '240 times: Democratize, Q4’24 Feb '250 times: Democratize, Q1’25 Apr '250 times: Democratize, Q2’25 Jul '250 times: Democratize, Q3’25 Nov '250 times: Democratize, Q4’25 Feb '261 time: Democratize, Q1’26 Apr '26, counts as said0 times: Democratize, Q2’26 Jul '26steady1/812%1/812%4/2119%75%n=1+tx from settlement history blended with transcripts
Expenseevery call3 times: Expense, Q3’24 Oct '24, counts as said3 times: Expense, Q4’24 Feb '25, counts as said1 time: Expense, Q1’25 Apr '25, counts as said5 times: Expense, Q2’25 Jul '25, counts as said4 times: Expense, Q3’25 Nov '25, counts as said8 times: Expense, Q4’25 Feb '26, counts as said1 time: Expense, Q1’26 Apr '26, counts as said6 times: Expense, Q2’26 Jul '26, counts as saidrising8/8100%8/8100%21/21100%91%n=1+tx from settlement history blended with transcripts
Goldevery call34 times: Gold, Q3’24 Oct '24, counts as said31 times: Gold, Q4’24 Feb '25, counts as said31 times: Gold, Q1’25 Apr '25, counts as said26 times: Gold, Q2’25 Jul '25, counts as said3 times: Gold, Q3’25 Nov '25, counts as said10 times: Gold, Q4’25 Feb '26, counts as said21 times: Gold, Q1’26 Apr '26, counts as said14 times: Gold, Q2’26 Jul '26, counts as saidfalling8/8100%8/8100%21/21100%96%n=1+tx from settlement history blended with transcripts
Hedge / Hedging1 time: Hedge / Hedging, Q3’24 Oct '24, counts as said2 times: Hedge / Hedging, Q4’24 Feb '25, counts as said1 time: Hedge / Hedging, Q1’25 Apr '25, counts as said1 time: Hedge / Hedging, Q2’25 Jul '25, counts as said0 times: Hedge / Hedging, Q3’25 Nov '250 times: Hedge / Hedging, Q4’25 Feb '260 times: Hedge / Hedging, Q1’26 Apr '261 time: Hedge / Hedging, Q2’26 Jul '26, counts as saidfalling5/862%0/80%9/2143%75%n=1+tx from settlement history blended with transcripts
Marketing0 times: Marketing, Q3’24 Oct '241 time: Marketing, Q4’24 Feb '25, counts as said2 times: Marketing, Q1’25 Apr '25, counts as said6 times: Marketing, Q2’25 Jul '25, counts as said4 times: Marketing, Q3’25 Nov '25, counts as said4 times: Marketing, Q4’25 Feb '26, counts as said4 times: Marketing, Q1’26 Apr '26, counts as said2 times: Marketing, Q2’26 Jul '26, counts as saidrising7/888%1/812%20/2195%86%n=1+tx from settlement history blended with transcripts
OpenAI0 times: OpenAI, Q3’24 Oct '240 times: OpenAI, Q4’24 Feb '251 time: OpenAI, Q1’25 Apr '25, counts as said0 times: OpenAI, Q2’25 Jul '251 time: OpenAI, Q3’25 Nov '25, counts as said2 times: OpenAI, Q4’25 Feb '26, counts as said1 time: OpenAI, Q1’26 Apr '26, counts as said0 times: OpenAI, Q2’26 Jul '26rising4/850%2/825%4/2119%75%n=1+tx from settlement history blended with transcripts
Prediction1 time: Prediction, Q3’24 Oct '24, counts as said3 times: Prediction, Q4’24 Feb '25, counts as said10 times: Prediction, Q1’25 Apr '25, counts as said8 times: Prediction, Q2’25 Jul '25, counts as said18 times: Prediction, Q3’25 Nov '25, counts as said35 times: Prediction, Q4’25 Feb '26, counts as said13 times: Prediction, Q1’26 Apr '26, counts as said18 times: Prediction, Q2’26 Jul '26, counts as saidrising8/8100%6/875%9/2143%97%n=1+tx from settlement history blended with transcripts
Predict / Prediction5+ times2 times: Predict / Prediction 5+ times, Q3’24 Oct '24, below the threshold3 times: Predict / Prediction 5+ times, Q4’24 Feb '25, below the threshold10 times: Predict / Prediction 5+ times, Q1’25 Apr '25, counts as said8 times: Predict / Prediction 5+ times, Q2’25 Jul '25, counts as said18 times: Predict / Prediction 5+ times, Q3’25 Nov '25, counts as said35 times: Predict / Prediction 5+ times, Q4’25 Feb '26, counts as said15 times: Predict / Prediction 5+ times, Q1’26 Apr '26, counts as said18 times: Predict / Prediction 5+ times, Q2’26 Jul '26, counts as saidrising6/875%2/825%6/2129%75%n=1+tx from settlement history blended with transcripts
Summit2 times: Summit, Q3’24 Oct '24, counts as said4 times: Summit, Q4’24 Feb '25, counts as said1 time: Summit, Q1’25 Apr '25, counts as said4 times: Summit, Q2’25 Jul '25, counts as said3 times: Summit, Q3’25 Nov '25, counts as said2 times: Summit, Q4’25 Feb '26, counts as said3 times: Summit, Q1’26 Apr '26, counts as said2 times: Summit, Q2’26 Jul '26, counts as saidsteady8/8100%6/875%9/2143%87%n=1+tx from settlement history blended with transcripts
Token0 times: Token, Q3’24 Oct '246 times: Token, Q4’24 Feb '25, counts as said0 times: Token, Q1’25 Apr '2512 times: Token, Q2’25 Jul '25, counts as said8 times: Token, Q3’25 Nov '25, counts as said9 times: Token, Q4’25 Feb '26, counts as said2 times: Token, Q1’26 Apr '26, counts as said7 times: Token, Q2’26 Jul '26, counts as saidrising6/875%5/862%11/2152%90%n=1+tx from settlement history blended with transcripts
Trade5+ times1 time: Trade 5+ times, Q3’24 Oct '24, below the threshold3 times: Trade 5+ times, Q4’24 Feb '25, below the threshold5 times: Trade 5+ times, Q1’25 Apr '25, counts as said4 times: Trade 5+ times, Q2’25 Jul '25, below the threshold9 times: Trade 5+ times, Q3’25 Nov '25, counts as said4 times: Trade 5+ times, Q4’25 Feb '26, below the threshold10 times: Trade 5+ times, Q1’26 Apr '26, counts as said9 times: Trade 5+ times, Q2’26 Jul '26, counts as saidrising4/850%0/80%10/2148%75%n=1+tx from settlement history blended with transcripts
Trading Volume0 times: Trading Volume, Q3’24 Oct '243 times: Trading Volume, Q4’24 Feb '25, counts as said3 times: Trading Volume, Q1’25 Apr '25, counts as said3 times: Trading Volume, Q2’25 Jul '25, counts as said3 times: Trading Volume, Q3’25 Nov '25, counts as said3 times: Trading Volume, Q4’25 Feb '26, counts as said1 time: Trading Volume, Q1’26 Apr '26, counts as said3 times: Trading Volume, Q2’26 Jul '26, counts as saidsteady7/888%7/888%16/2176%83%n=1+tx from settlement history blended with transcripts
Y Combinator / YCnever said0 times: Y Combinator / YC, Q3’24 Oct '240 times: Y Combinator / YC, Q4’24 Feb '250 times: Y Combinator / YC, Q1’25 Apr '250 times: Y Combinator / YC, Q2’25 Jul '250 times: Y Combinator / YC, Q3’25 Nov '250 times: Y Combinator / YC, Q4’25 Feb '260 times: Y Combinator / YC, Q1’26 Apr '260 times: Y Combinator / YC, Q2’26 Jul '26steady0/80%0/80%0/210%75%n=1+tx from settlement history blended with transcripts
Accredited0 times: Accredited, Q3’24 Oct '240 times: Accredited, Q4’24 Feb '251 time: Accredited, Q1’25 Apr '25, counts as said0 times: Accredited, Q2’25 Jul '254 times: Accredited, Q3’25 Nov '25, counts as said0 times: Accredited, Q4’25 Feb '260 times: Accredited, Q1’26 Apr '260 times: Accredited, Q2’26 Jul '26steady2/825%1/812%2/2110%24%n=1+tx from settlement history blended with transcripts
Concierge0 times: Concierge, Q3’24 Oct '240 times: Concierge, Q4’24 Feb '250 times: Concierge, Q1’25 Apr '250 times: Concierge, Q2’25 Jul '250 times: Concierge, Q3’25 Nov '250 times: Concierge, Q4’25 Feb '261 time: Concierge, Q1’26 Apr '26, counts as said0 times: Concierge, Q2’26 Jul '26steady1/812%0/80%1/215%23%n=1+tx from settlement history blended with transcripts
Crypto / Cryptocurrencyevery call5 times: Crypto / Cryptocurrency, Q3’24 Oct '24, counts as said24 times: Crypto / Cryptocurrency, Q4’24 Feb '25, counts as said25 times: Crypto / Cryptocurrency, Q1’25 Apr '25, counts as said24 times: Crypto / Cryptocurrency, Q2’25 Jul '25, counts as said12 times: Crypto / Cryptocurrency, Q3’25 Nov '25, counts as said18 times: Crypto / Cryptocurrency, Q4’25 Feb '26, counts as said24 times: Crypto / Cryptocurrency, Q1’26 Apr '26, counts as said11 times: Crypto / Cryptocurrency, Q2’26 Jul '26, counts as saidsteady8/8100%8/8100%21/21100%24%n=1+tx from settlement history blended with transcripts
Football0 times: Football, Q3’24 Oct '240 times: Football, Q4’24 Feb '250 times: Football, Q1’25 Apr '250 times: Football, Q2’25 Jul '250 times: Football, Q3’25 Nov '251 time: Football, Q4’25 Feb '26, counts as said0 times: Football, Q1’26 Apr '262 times: Football, Q2’26 Jul '26, counts as saidrising2/825%1/812%2/2110%44%n=1+tx from settlement history blended with transcripts
NFT0 times: NFT, Q3’24 Oct '240 times: NFT, Q4’24 Feb '250 times: NFT, Q1’25 Apr '250 times: NFT, Q2’25 Jul '250 times: NFT, Q3’25 Nov '250 times: NFT, Q4’25 Feb '260 times: NFT, Q1’26 Apr '260 times: NFT, Q2’26 Jul '26steady0/80%0/80%3/2114%35%n=1+tx from settlement history blended with transcripts
Robinhood Gold6 times: Robinhood Gold, Q3’24 Oct '24, counts as said5 times: Robinhood Gold, Q4’24 Feb '25, counts as said6 times: Robinhood Gold, Q1’25 Apr '25, counts as said5 times: Robinhood Gold, Q2’25 Jul '25, counts as said2 times: Robinhood Gold, Q3’25 Nov '25, counts as said3 times: Robinhood Gold, Q4’25 Feb '26, counts as said0 times: Robinhood Gold, Q1’26 Apr '261 time: Robinhood Gold, Q2’26 Jul '26, counts as saidfalling7/888%7/888%18/2186%24%n=1+tx from settlement history blended with transcripts
Shutdown / Shut Down0 times: Shutdown / Shut Down, Q3’24 Oct '241 time: Shutdown / Shut Down, Q4’24 Feb '25, counts as said0 times: Shutdown / Shut Down, Q1’25 Apr '250 times: Shutdown / Shut Down, Q2’25 Jul '250 times: Shutdown / Shut Down, Q3’25 Nov '252 times: Shutdown / Shut Down, Q4’25 Feb '26, counts as said1 time: Shutdown / Shut Down, Q1’26 Apr '26, counts as said0 times: Shutdown / Shut Down, Q2’26 Jul '26rising3/838%1/812%4/2119%39%n=1+tx from settlement history blended with transcripts
Silvernever said0 times: Silver, Q3’24 Oct '240 times: Silver, Q4’24 Feb '250 times: Silver, Q1’25 Apr '250 times: Silver, Q2’25 Jul '250 times: Silver, Q3’25 Nov '250 times: Silver, Q4’25 Feb '260 times: Silver, Q1’26 Apr '260 times: Silver, Q2’26 Jul '26steady0/80%0/80%0/210%14%n=1+tx from settlement history blended with transcripts
Tokenized / Tokenization0 times: Tokenized / Tokenization, Q3’24 Oct '242 times: Tokenized / Tokenization, Q4’24 Feb '25, counts as said0 times: Tokenized / Tokenization, Q1’25 Apr '2514 times: Tokenized / Tokenization, Q2’25 Jul '25, counts as said13 times: Tokenized / Tokenization, Q3’25 Nov '25, counts as said14 times: Tokenized / Tokenization, Q4’25 Feb '26, counts as said9 times: Tokenized / Tokenization, Q1’26 Apr '26, counts as said5 times: Tokenized / Tokenization, Q2’26 Jul '26, counts as saidrising6/875%5/862%6/2129%24%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 73 of 73 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Jul 29, 2026Earnings call FY26 Q2Speaker-labelled transcript1713 yes · 4 no17/17 (100%)
Apr 28, 2026Earnings call FY26 Q1Speaker-labelled transcript1311 yes · 2 no13/13 (100%)
Feb 10, 2026Earnings call FY25 Q4Speaker-labelled transcript1917 yes · 2 no19/19 (100%)
Nov 5, 2025Earnings call FY25 Q3Speaker-labelled transcript2420 yes · 4 no24/24 (100%)
Jul 31, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Apr 30, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Feb 12, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Oct 30, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Aug 7, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
May 8, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Feb 13, 2024Earnings call FY23 Q4Speaker-labelled transcript0––
Nov 7, 2023Earnings call FY23 Q3Speaker-labelled transcript0––

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

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