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0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x1fdc3381b5a38ff97fb9f8d627c61edda62d9546a62292495ec514b63bb93c54
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 500 or more times Jan 3-Jan 10? | Event: elon-musk-of-tweets-january-3-january-10 | Choice: yes | Confidence: 1.0 2. Question: No change in Fed interest rates after January 2025 meeting? | Event: fed-interest-rates-january-2025 | Choice: no | Confidence: 1.0 3. Question: Will ...
down
0
ethereum-up-or-down-june-30-4pm-et
Ethereum Up or Down - June 30, 4PM ET
73,419,266
73,419,266
c68aabe9ae0b44e93f5b4bb478aae15d94cbd828
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x50d212e1e3a6b64ce500dec7ac77806523355ec9c9bfbf3fe44a272df55a4f4f
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 500 or more times Jan 3-Jan 10? | Event: elon-musk-of-tweets-january-3-january-10 | Choice: yes | Confidence: 1.0 2. Question: No change in Fed interest rates after January 2025 meeting? | Event: fed-interest-rates-january-2025 | Choice: no | Confidence: 1.0 3. Question: Will ...
down
0
bitcoin-up-or-down-june-30-2pm-et
Bitcoin Up or Down - June 30, 2PM ET
73,419,266
73,419,266
0b0adf92ff6e1290e97d08468e8f71a3a65b62c2
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x5c0e196a82b7872783d046d49bff0a48f505cd3eba0fe67e4078cf44ac1cc51d
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 500 or more times Jan 3-Jan 10? | Event: elon-musk-of-tweets-january-3-january-10 | Choice: yes | Confidence: 1.0 2. Question: No change in Fed interest rates after January 2025 meeting? | Event: fed-interest-rates-january-2025 | Choice: no | Confidence: 1.0 3. Question: Will ...
down
0
bitcoin-up-or-down-june-30-1pm-et
Bitcoin Up or Down - June 30, 1PM ET
73,419,266
73,419,266
e6dcb2809b752c037f61cb58b84089b0c5b0f521
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xbc23648a98bf823ed9c3c1dc2cc41d1b2d12f13ecd39b0731f90a92a2598aa8d
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 500 or more times Jan 3-Jan 10? | Event: elon-musk-of-tweets-january-3-january-10 | Choice: yes | Confidence: 1.0 2. Question: No change in Fed interest rates after January 2025 meeting? | Event: fed-interest-rates-january-2025 | Choice: no | Confidence: 1.0 3. Question: Will ...
down
0
solana-up-or-down-june-30-1pm-et
Solana Up or Down - June 30, 1PM ET
73,419,266
73,419,266
ea08c07bdc25906d9475b4304243a7c5e69a162a
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xe3239dc09c2dc22d7fb3da92804c6cf1c58eb8c100211e52356b7b05950fe331
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 500 or more times Jan 3-Jan 10? | Event: elon-musk-of-tweets-january-3-january-10 | Choice: yes | Confidence: 1.0 2. Question: No change in Fed interest rates after January 2025 meeting? | Event: fed-interest-rates-january-2025 | Choice: no | Confidence: 1.0 3. Question: Will ...
down
0
solana-up-or-down-june-30-2pm-et
Solana Up or Down - June 30, 2PM ET
73,419,266
73,419,266
a640992fb480d15e0d3e62f2a94b92a2e0a311ce
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xed1b7a19043e4a2b75fdc46b3feefb3bf52cd86d7caf43a472d632d9e6af4afb
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 500 or more times Jan 3-Jan 10? | Event: elon-musk-of-tweets-january-3-january-10 | Choice: yes | Confidence: 1.0 2. Question: No change in Fed interest rates after January 2025 meeting? | Event: fed-interest-rates-january-2025 | Choice: no | Confidence: 1.0 3. Question: Will ...
down
0
ethereum-up-or-down-june-30-1pm-et
Ethereum Up or Down - June 30, 1PM ET
73,419,266
73,419,266
d1a4ae2a86489323cd2c1d1f3bd1bbfbcafbdba8
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xfe0c9eaea31dbbbfc0f25fb95600d9e2f1c32b2a95c1d8cd6a2c49109fe517d4
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 500 or more times Jan 3-Jan 10? | Event: elon-musk-of-tweets-january-3-january-10 | Choice: yes | Confidence: 1.0 2. Question: No change in Fed interest rates after January 2025 meeting? | Event: fed-interest-rates-january-2025 | Choice: no | Confidence: 1.0 3. Question: Will ...
down
0
ethereum-up-or-down-june-30-2pm-et
Ethereum Up or Down - June 30, 2PM ET
73,419,266
73,419,266
69ed325cdd9e429765b7cc3991038c60c1395b7d
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x07dffea42b7d15048483627b99a4ca6e964224725a6768022cc4de2ac4cdee91
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 500 or more times Jan 3-Jan 10? | Event: elon-musk-of-tweets-january-3-january-10 | Choice: yes | Confidence: 1.0 2. Question: No change in Fed interest rates after January 2025 meeting? | Event: fed-interest-rates-january-2025 | Choice: no | Confidence: 1.0 3. Question: Will ...
down
0
xrp-up-or-down-june-30-8pm-et
XRP Up or Down - June 30, 8PM ET
73,435,060
73,435,060
96ad3107b32cbf3f7cfd2a97bbb67a14e21f6b5c
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x086704ed8129d88bd08dd8576ce8288d0f11c016648408faeb5524124cdc0868
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 500 or more times Jan 3-Jan 10? | Event: elon-musk-of-tweets-january-3-january-10 | Choice: yes | Confidence: 1.0 2. Question: No change in Fed interest rates after January 2025 meeting? | Event: fed-interest-rates-january-2025 | Choice: no | Confidence: 1.0 3. Question: Will ...
down
0
xrp-up-or-down-june-30-6pm-et
XRP Up or Down - June 30, 6PM ET
73,435,060
73,435,060
8652eb59a943bad16763392b87be0263a3ce7a54
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x113a5eab42bd7979f253daad32a48f70c5ecbeb4dde9b75278b4a0d1cb4820c1
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 500 or more times Jan 3-Jan 10? | Event: elon-musk-of-tweets-january-3-january-10 | Choice: yes | Confidence: 1.0 2. Question: No change in Fed interest rates after January 2025 meeting? | Event: fed-interest-rates-january-2025 | Choice: no | Confidence: 1.0 3. Question: Will ...
down
0
solana-up-or-down-june-30-8pm-et
Solana Up or Down - June 30, 8PM ET
73,435,060
73,435,060
20da343e4a7febfb4ce03b010a6fda4a09dfff89
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x1fed25c0a32bd5caa08d39e29b51203dc7c62957a6d9d78a59c0c072f53b7a8b
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 500 or more times Jan 3-Jan 10? | Event: elon-musk-of-tweets-january-3-january-10 | Choice: yes | Confidence: 1.0 2. Question: No change in Fed interest rates after January 2025 meeting? | Event: fed-interest-rates-january-2025 | Choice: no | Confidence: 1.0 3. Question: Will ...
down
0
ethereum-up-or-down-june-30-7pm-et
Ethereum Up or Down - June 30, 7PM ET
73,435,060
73,435,060
fc86cbc22ae41d4487a3c7671dede6a601c0de7c
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x2c90ab098460051967395656319bd0bb5c255f2a8de0fd87626c8d34c60bfe60
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 500 or more times Jan 3-Jan 10? | Event: elon-musk-of-tweets-january-3-january-10 | Choice: yes | Confidence: 1.0 2. Question: No change in Fed interest rates after January 2025 meeting? | Event: fed-interest-rates-january-2025 | Choice: no | Confidence: 1.0 3. Question: Will ...
down
0
ethereum-up-or-down-june-30-8pm-et
Ethereum Up or Down - June 30, 8PM ET
73,435,060
73,435,060
245ebc78b72bb88392dfbd51a735701f99b82abe
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x88ac3001a07cc13fbbf19513ef7a896b932938acc137da479a08d3d33cbeadf4
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: No change in Fed interest rates after January 2025 meeting? | Event: fed-interest-rates-january-2025 | Choice: no | Confidence: 1.0 2. Question: Will Union win the most seats in the next German election? | Event: germany-parliamentary-election | Choice: no | Confidence: 1.0 3. Question: Will ...
down
0
solana-up-or-down-june-30-6pm-et
Solana Up or Down - June 30, 6PM ET
73,435,060
73,435,060
5e6b1c3db286cefb2d4fe2c426a7d90f806edd49
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xab6ae03448fbe9996c628ba392f755bdc1c883f4d0fa895c4a8d55d9001e2305
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Union win the most seats in the next German election? | Event: germany-parliamentary-election | Choice: no | Confidence: 1.0 2. Question: Will the price of Bitcoin be between $107K and $108K on June 27 at 5PM ET? | Event: bitcoin-price-june-27-5pm-et | Choice: yes | Confidence: 1.0 3. Qu...
down
0
solana-up-or-down-june-30-7pm-et
Solana Up or Down - June 30, 7PM ET
73,435,060
73,435,060
a8a63a8eb96c32a8f418266518ac85bfa92e59fa
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xb61587b4798d252b7e022201bc187bf025190e43e68e10978a7a0688eb221ed0
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the price of Bitcoin be between $107K and $108K on June 27 at 5PM ET? | Event: bitcoin-price-june-27-5pm-et | Choice: yes | Confidence: 1.0 2. Question: Bitcoin Up or Down - June 29, 2PM ET | Event: bitcoin-up-or-down-june-29-2pm-et | Choice: up | Confidence: 0.07011300493225947 3. Quest...
down
0
ethereum-up-or-down-june-30-6pm-et
Ethereum Up or Down - June 30, 6PM ET
73,435,060
73,435,060
a5e50ae02be4bc9ad70f42e870ee8de4fb210bed
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xca93be47516f122b8e7205643e58ed9f27ce5d91f07e3d43a8ffb4c401c0ec4f
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Bitcoin Up or Down - June 29, 2PM ET | Event: bitcoin-up-or-down-june-29-2pm-et | Choice: up | Confidence: 0.07011300493225947 2. Question: Bitcoin Up or Down - June 30, 7AM ET | Event: bitcoin-up-or-down-june-30-7am-et | Choice: down | Confidence: 0.0005550917020686711 3. Question: Solana Up...
down
0
bitcoin-up-or-down-june-30-6pm-et
Bitcoin Up or Down - June 30, 6PM ET
73,435,060
73,435,060
132b8d035c56f1734248afc3dbf5de130ca61b86
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xfd86785c4236eca41dd944c64c0ef40844280f08ce27cfd6e967efaebb52e407
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Bitcoin Up or Down - June 30, 7AM ET | Event: bitcoin-up-or-down-june-30-7am-et | Choice: down | Confidence: 0.0005550917020686711 2. Question: Solana Up or Down - June 30, 7AM ET | Event: solana-up-or-down-june-30-7am-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - Jun...
down
0
bitcoin-up-or-down-june-30-7pm-et
Bitcoin Up or Down - June 30, 7PM ET
73,435,060
73,435,060
e091a7153a0b40780ae3e28fe27c9b1f67aef018
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x738bf902942dfaf0f5a8eace4f05bdfa8c0ae3fe76f899feb5ec888ead06065b
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Solana Up or Down - June 30, 7AM ET | Event: solana-up-or-down-june-30-7am-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - June 30, 7AM ET | Event: ethereum-up-or-down-june-30-7am-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - June 30, 8AM ET | Event:...
up
0.000334
xrp-up-or-down-june-30-9pm-et
XRP Up or Down - June 30, 9PM ET
73,435,061
73,435,061
8896b04a350c9634058b4b3cc6adbc4585ae32fe
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xa4809651f80c2fba5e8f36e4c956da53fd43f0fe81335f80d1d497eaea5f3bb1
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum Up or Down - June 30, 7AM ET | Event: ethereum-up-or-down-june-30-7am-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - June 30, 8AM ET | Event: xrp-up-or-down-june-30-8am-et | Choice: down | Confidence: 0.0 3. Question: Solana Up or Down - June 30, 8AM ET | Event: so...
down
0
bitcoin-up-or-down-june-30-8pm-et
Bitcoin Up or Down - June 30, 8PM ET
73,435,061
73,435,061
7ceb0ffde480c9546875b90e922f711200f83f3d
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x5af451d74ac81e6b9f063b40d83a843535c43eebe77140b44b993f720d648f6b
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: XRP Up or Down - June 30, 8AM ET | Event: xrp-up-or-down-june-30-8am-et | Choice: down | Confidence: 0.0 2. Question: Solana Up or Down - June 30, 8AM ET | Event: solana-up-or-down-june-30-8am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - June 30, 8AM ET | Event: bitco...
down
0
ethereum-up-or-down-july-1-3am-et
Ethereum Up or Down - July 1, 3AM ET
73,438,050
73,438,050
f4be284550cafb0bafd2a2e0c18b7863a50f1f39
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xb53c54bce5baca588d2d12b7507262e8669f9e430bdf4545ed12e4a735e9c291
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Solana Up or Down - June 30, 8AM ET | Event: solana-up-or-down-june-30-8am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - June 30, 8AM ET | Event: bitcoin-up-or-down-june-30-8am-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - June 30, 8AM ET | Eve...
down
0
bitcoin-up-or-down-july-1-3am-et
Bitcoin Up or Down - July 1, 3AM ET
73,438,050
73,438,050
f24152f20cd9fbab234f3b55ac1f6bd00dff4c36
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xb77e0974442ad2b49cf7328ed7e26c02641ead436e2f2be517f0f545ca5f8886
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Bitcoin Up or Down - June 30, 8AM ET | Event: bitcoin-up-or-down-june-30-8am-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - June 30, 8AM ET | Event: ethereum-up-or-down-june-30-8am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - June 30, 9AM ET | ...
down
0
xrp-up-or-down-july-1-3am-et
XRP Up or Down - July 1, 3AM ET
73,438,050
73,438,050
24bd8ccde96a6252019c432e440a77b9c633a0c5
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x8c7559242aac4ea4b36d6647c89cf7427a5cf70d293e6ee4eeb8c2c216e3a974
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum Up or Down - June 30, 8AM ET | Event: ethereum-up-or-down-june-30-8am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - June 30, 9AM ET | Event: bitcoin-up-or-down-june-30-9am-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - June 30, 11AM ET ...
up
0.2
bitcoin-up-or-down-july-1-4am-et
Bitcoin Up or Down - July 1, 4AM ET
73,439,727
73,439,727
f630cabbaa045026a6e603e8fff677e030c63f1e
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xcd09e74afac920dae82d051267cff9345bf0c078de859fbae77995ddb2e7f113
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Bitcoin Up or Down - June 30, 9AM ET | Event: bitcoin-up-or-down-june-30-9am-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - June 30, 11AM ET | Event: ethereum-up-or-down-june-30-11am-et | Choice: down | Confidence: 0.0 3. Question: Solana Up or Down - June 30, 11AM ET ...
down
0
xrp-up-or-down-july-1-4am-et
XRP Up or Down - July 1, 4AM ET
73,439,727
73,439,727
98e790bbe3fb56f79aab4ea8198084aa63064044
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xcbba12a368ac85720ea570d471f8d0e71f4e3fbb8e4187957b7932ed623ce814
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum Up or Down - June 30, 11AM ET | Event: ethereum-up-or-down-june-30-11am-et | Choice: down | Confidence: 0.0 2. Question: Solana Up or Down - June 30, 11AM ET | Event: solana-up-or-down-june-30-11am-et | Choice: up | Confidence: 0.001001301601992473 3. Question: XRP Up or Down - June ...
down
0
bitcoin-up-or-down-july-1-5am-et
Bitcoin Up or Down - July 1, 5AM ET
73,441,319
73,441,319
00161a59ca1130321570d4b500adf1fa18e68367
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x7d1065b412588a3d21573021c808e0760ad93c74d10fecb0535b610a349011f4
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Solana Up or Down - June 30, 11AM ET | Event: solana-up-or-down-june-30-11am-et | Choice: up | Confidence: 0.001001301601992473 2. Question: XRP Up or Down - June 30, 11AM ET | Event: xrp-up-or-down-june-30-11am-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - June 30, 1...
down
0
ethereum-up-or-down-july-1-5am-et
Ethereum Up or Down - July 1, 5AM ET
73,441,459
73,441,459
10e8df449fc5de95c94c1ef4db48b7919b1ff32a
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xf80e91663fbc5b18c29ac6d517afbe8fcad049eaf9a366be60c2e4ac08bd7c1e
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: XRP Up or Down - June 30, 11AM ET | Event: xrp-up-or-down-june-30-11am-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - June 30, 12PM ET | Event: ethereum-up-or-down-june-30-12pm-et | Choice: down | Confidence: 0.0 3. Question: Solana Up or Down - June 30, 12PM ET | Even...
down
0
solana-up-or-down-july-1-5am-et
Solana Up or Down - July 1, 5AM ET
73,441,953
73,441,953
a302a9f375e855aa794be0995513b816c641dedb
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x24bde705a112fa58aff670d90ddad9c8f4a9b7585b4a84c041aa25f6a18e6830
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum Up or Down - June 30, 12PM ET | Event: ethereum-up-or-down-june-30-12pm-et | Choice: down | Confidence: 0.0 2. Question: Solana Up or Down - June 30, 12PM ET | Event: solana-up-or-down-june-30-12pm-et | Choice: up | Confidence: 0.0003336112593549949 3. Question: Bitcoin Up or Down - ...
down
0
xrp-up-or-down-july-1-9am-et
XRP Up or Down - July 1, 9AM ET
73,446,734
73,446,734
b21870eba6388bdf3d42e784fccf9a51c9213706
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x3629dccd1218e0f5e9e620a24cfc4a5e61e229499e19a0db1f1f52e8a001df69
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Solana Up or Down - June 30, 12PM ET | Event: solana-up-or-down-june-30-12pm-et | Choice: up | Confidence: 0.0003336112593549949 2. Question: Bitcoin Up or Down - June 30, 12PM ET | Event: bitcoin-up-or-down-june-30-12pm-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - J...
down
0.000461
bitcoin-up-or-down-july-1-9am-et
Bitcoin Up or Down - July 1, 9AM ET
73,446,819
73,446,819
2a6a771036687de264ab99be06fe0e97933c6144
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xdbd91ac5bfba721fff70c8256640a51b659db5f0e57597b5732c7c2c1adc1952
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Bitcoin Up or Down - June 30, 12PM ET | Event: bitcoin-up-or-down-june-30-12pm-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - June 30, 4PM ET | Event: ethereum-up-or-down-june-30-4pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - June 30, 2PM ET ...
down
0
solana-up-or-down-july-1-9am-et
Solana Up or Down - July 1, 9AM ET
73,447,677
73,447,677
d5f054e4471bcd14fd40198c2717da9271274fe9
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x0cb5a8984c516fc6427cf8d531e7d52f5c065979adf20acfe95645f8f2f56b05
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum Up or Down - June 30, 4PM ET | Event: ethereum-up-or-down-june-30-4pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - June 30, 2PM ET | Event: bitcoin-up-or-down-june-30-2pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - June 30, 1PM ET | ...
down
0
ethereum-up-or-down-july-1-9am-et
Ethereum Up or Down - July 1, 9AM ET
73,447,686
73,447,686
afb2a6692f55dc1de762073acb8392bebe682d51
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xd912b699a54cfcddc836ad29d25620845f6a641a4e5e3b17aff63504f583cc8b
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Bitcoin Up or Down - June 30, 2PM ET | Event: bitcoin-up-or-down-june-30-2pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - June 30, 1PM ET | Event: bitcoin-up-or-down-june-30-1pm-et | Choice: down | Confidence: 0.0 3. Question: Solana Up or Down - June 30, 1PM ET | Eve...
down
0
bitcoin-up-or-down-july-1-11am-et
Bitcoin Up or Down - July 1, 11AM ET
73,450,024
73,450,024
96014076981df795f566322233a3163ef001e6ee
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xc3b2381ac203ac877abbd480ed2d8846ffcf1d9030ccec24e8e4adfce66d7f72
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Bitcoin Up or Down - June 30, 1PM ET | Event: bitcoin-up-or-down-june-30-1pm-et | Choice: down | Confidence: 0.0 2. Question: Solana Up or Down - June 30, 1PM ET | Event: solana-up-or-down-june-30-1pm-et | Choice: down | Confidence: 0.0 3. Question: Solana Up or Down - June 30, 2PM ET | Event...
down
0
solana-up-or-down-july-1-11am-et
Solana Up or Down - July 1, 11AM ET
73,450,104
73,450,104
229b674694616ef1e73fbd7d54d23b9e4bcf1e07
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x4a5a9a26c22d0540918be77e268743d05c780932a56ef2e8b6aeb1f0c3a2abc2
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Solana Up or Down - June 30, 1PM ET | Event: solana-up-or-down-june-30-1pm-et | Choice: down | Confidence: 0.0 2. Question: Solana Up or Down - June 30, 2PM ET | Event: solana-up-or-down-june-30-2pm-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - June 30, 1PM ET | Event...
down
0
xrp-up-or-down-july-1-11am-et
XRP Up or Down - July 1, 11AM ET
73,450,145
73,450,145
209b4741f233c9619b11dcecef70fa6ac5d50d0a
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xc057ec3dbdcdfaff0736d4d0c704815e34366256a05c7d13e484754597430d70
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Solana Up or Down - June 30, 2PM ET | Event: solana-up-or-down-june-30-2pm-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - June 30, 1PM ET | Event: ethereum-up-or-down-june-30-1pm-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - June 30, 2PM ET | E...
down
0
bitcoin-up-or-down-july-1-12pm-et
Bitcoin Up or Down - July 1, 12PM ET
73,451,840
73,451,840
1d0430e4408c022c8261fc94c64a207f20dc2694
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x180974284812aae47b4e4b8c39cebd3c07b6d4a9d6bdf1d7d621da41212a02c8
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum Up or Down - June 30, 1PM ET | Event: ethereum-up-or-down-june-30-1pm-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - June 30, 2PM ET | Event: ethereum-up-or-down-june-30-2pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - June 30, 8PM ET | Ev...
down
0
ethereum-up-or-down-july-1-12pm-et
Ethereum Up or Down - July 1, 12PM ET
73,452,213
73,452,213
d5820340454f684eabbfb50f780a0aaf7a1b7e65
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x456dd25835f5c1129db568465d6a4e60581d1158a16e25cdd22a120675e36a1d
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum Up or Down - June 30, 2PM ET | Event: ethereum-up-or-down-june-30-2pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - June 30, 8PM ET | Event: xrp-up-or-down-june-30-8pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - June 30, 6PM ET | Event: xrp-u...
down
0
xrp-up-or-down-july-1-12pm-et
XRP Up or Down - July 1, 12PM ET
73,452,365
73,452,629
14522cebb6f6857256def41be1b3f0fd680ebecb
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x42dad69fecaace58b1ec19f98c310fbd4c6c271f989ee3c954e680df5abd0e04
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: XRP Up or Down - June 30, 8PM ET | Event: xrp-up-or-down-june-30-8pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - June 30, 6PM ET | Event: xrp-up-or-down-june-30-6pm-et | Choice: down | Confidence: 0.0 3. Question: Solana Up or Down - June 30, 8PM ET | Event: solana-up-or...
down
0
bitcoin-up-or-down-july-1-1pm-et
Bitcoin Up or Down - July 1, 1PM ET
73,453,476
73,453,476
b7868a289c88c9c7b3f8fc0295a50a15be0aba5c
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xb90fe106842762facfac69e5515aeb9e4020ac0cfa087aefbfab25282161c49e
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: XRP Up or Down - June 30, 6PM ET | Event: xrp-up-or-down-june-30-6pm-et | Choice: down | Confidence: 0.0 2. Question: Solana Up or Down - June 30, 8PM ET | Event: solana-up-or-down-june-30-8pm-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - June 30, 7PM ET | Event: ethe...
down
0
ethereum-up-or-down-july-1-1pm-et
Ethereum Up or Down - July 1, 1PM ET
73,453,476
73,453,476
737f06798dc4550c63962a78784f94d2dd052700
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x2231a63947a80237f23301058c48a3b47fd1c97c936760b781e8617dd9a1d99a
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Solana Up or Down - June 30, 8PM ET | Event: solana-up-or-down-june-30-8pm-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - June 30, 7PM ET | Event: ethereum-up-or-down-june-30-7pm-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - June 30, 8PM ET | E...
down
0
solana-up-or-down-july-1-1pm-et
Solana Up or Down - July 1, 1PM ET
73,454,119
73,454,119
99eb9bbe7d53a1cc13bd2f7863d858ee25e6fa81
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xb27bcbf617590393825cbb533cedd03e90f8692f47b311c320c1c3f58ad79542
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum Up or Down - June 30, 7PM ET | Event: ethereum-up-or-down-june-30-7pm-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - June 30, 8PM ET | Event: ethereum-up-or-down-june-30-8pm-et | Choice: down | Confidence: 0.0 3. Question: Solana Up or Down - June 30, 6PM ET |...
down
0
ethereum-up-or-down-july-1-3pm-et
Ethereum Up or Down - July 1, 3PM ET
73,458,532
73,458,532
ce82aee1fec6f15761e59c056dff2cb114ce5229
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xcd9e9b1e4eb660c54fec674c3e5494489ad54b16f0adb431f3d86655363823b5
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum Up or Down - June 30, 8PM ET | Event: ethereum-up-or-down-june-30-8pm-et | Choice: down | Confidence: 0.0 2. Question: Solana Up or Down - June 30, 6PM ET | Event: solana-up-or-down-june-30-6pm-et | Choice: down | Confidence: 0.0 3. Question: Solana Up or Down - June 30, 7PM ET | Eve...
up
0.000448
bitcoin-up-or-down-july-1-4pm-et
Bitcoin Up or Down - July 1, 4PM ET
73,458,532
73,458,532
7201a20aab5f06ca9fb5a429990ad9800cdc64e4
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x504b772e89e54b369cfaf1929079fbb2ecb94ba4ee8e99b98d7a401f704e4622
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Solana Up or Down - June 30, 6PM ET | Event: solana-up-or-down-june-30-6pm-et | Choice: down | Confidence: 0.0 2. Question: Solana Up or Down - June 30, 7PM ET | Event: solana-up-or-down-june-30-7pm-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - June 30, 6PM ET | Event...
up
0.000091
ethereum-up-or-down-july-1-4pm-et
Ethereum Up or Down - July 1, 4PM ET
73,458,532
73,459,207
9691918ebcef30bc522e0fc9c324ebf1c51da469
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x483879a8a884dde8f35090eb340283341f62712997277e5cd94482cb7c277125
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Solana Up or Down - June 30, 7PM ET | Event: solana-up-or-down-june-30-7pm-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - June 30, 6PM ET | Event: ethereum-up-or-down-june-30-6pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - June 30, 6PM ET | Ev...
down
0
xrp-up-or-down-july-1-4pm-et
XRP Up or Down - July 1, 4PM ET
73,458,532
73,463,815
57c208515978ce4080fd5b3457147328d4c2df13
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x1e18d04966a5d1dc1e7e9a30f7155b569d158cefab33ac6fc2b84c8457eeacb8
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum Up or Down - June 30, 6PM ET | Event: ethereum-up-or-down-june-30-6pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - June 30, 6PM ET | Event: bitcoin-up-or-down-june-30-6pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - June 30, 7PM ET | ...
up
1
xrp-up-or-down-july-1-1pm-et
XRP Up or Down - July 1, 1PM ET
73,459,828
73,459,828
00c4611b5bc213b3c92659c780340bce02351e68
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x14a69e9d66fde017eaa59b7f6070ebdac1bfd6627d1ace02b619c3f1b6d6e79e
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Bitcoin Up or Down - June 30, 6PM ET | Event: bitcoin-up-or-down-june-30-6pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - June 30, 7PM ET | Event: bitcoin-up-or-down-june-30-7pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - June 30, 9PM ET | Event:...
no
1
ethereum-price-july-6-5pm-et
Will the price of Ethereum be between $2400 and $2500 on July 6 at 5PM ET?
73,676,956
73,676,956
cb2ed77acdfb8675a2c0e7798e27f36613d23913
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x4032138ecca7c3005e219e466c19e2e739782650419759c2e27cd8c68c5c6d21
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Bitcoin Up or Down - June 30, 7PM ET | Event: bitcoin-up-or-down-june-30-7pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - June 30, 9PM ET | Event: xrp-up-or-down-june-30-9pm-et | Choice: up | Confidence: 0.0003336112593549949 3. Question: Bitcoin Up or Down - June 30, 8PM...
yes
1
jurassic-world-rebirth-5-day-opening-weekend-box-office
Will "Jurassic World" Opening Weekend Box Office be between $139-150m?
73,717,805
73,717,805
d62ffc54a79b03b7bfe1fae2d5e41843ae973dff
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x44b1ca894a61baff0924288fcaaecb4bd389a5015dd6c4210529ec523b342a76
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: XRP Up or Down - June 30, 9PM ET | Event: xrp-up-or-down-june-30-9pm-et | Choice: up | Confidence: 0.0003336112593549949 2. Question: Bitcoin Up or Down - June 30, 8PM ET | Event: bitcoin-up-or-down-june-30-8pm-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - July 1, 3AM...
no
1
fifa-club-world-cup-winner
Will Fluminense win the FIFA Club World Cup?
73,758,270
73,758,270
98c26824386aa795dd873e0766cf817f5ccb34e4
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0xf45d627e09b910b429bf00c9006bae4f5f3b42e787b6e6b27f544946c61dfa3e
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Bitcoin Up or Down - June 30, 8PM ET | Event: bitcoin-up-or-down-june-30-8pm-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - July 1, 3AM ET | Event: ethereum-up-or-down-july-1-3am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - July 1, 3AM ET | Eve...
no
1
2025-mid-season-invitational
Will Bilibili Gaming win the 2025 Mid-Season Invitational?
73,828,916
73,828,916
0358774f77dcc6a4cfef1e4c0b7423e5b7ac04ab
0x06fc0fae58c42b1da03aca9caab203cf64ad94ce
0x6d41029c7b01c54bf7153dc39f88798d82ff4b411bdd6b23d055481bb3150aa8
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum Up or Down - July 1, 3AM ET | Event: ethereum-up-or-down-july-1-3am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - July 1, 3AM ET | Event: bitcoin-up-or-down-july-1-3am-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - July 1, 3AM ET | Event: xr...
no
1
2025-wimbledon-winner-m
Will Taylor Fritz win Wimbledon 2025?
73,848,595
73,848,595
08181e067ff27c3ff61a2dc6ba4b3cc5d5e05276
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x04953395c761d763b72100cede52c0a2e6a2747aea04857e0678e787a992fa5a
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: None Target market: Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? Event: champions-chess-tour-winner Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
yes
1
champions-chess-tour-winner
Will Ian Nepomnichtchi win the Champions Chess Tour Finals?
65,772,488
65,772,488
fddf7e7185610e37cc862d6d7da1b1ee8a99f1b4
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x73ea7178ac4b4c296f7736a50be8f6ca65acc81c5ccf6e42ea388b04815e895f
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 Target market: Question: Will "Sonic 3" Rotten Tomatoes score be below 60? Event: sonic-3-rotten-tomatoes-score Predict the user's choice and confidence for the t...
no
1
sonic-3-rotten-tomatoes-score
Will "Sonic 3" Rotten Tomatoes score be below 60?
65,843,537
65,843,537
cf120f0be6ec33ab3f2de6112b02d01eba7088a9
0x072cee131e3fe738d80483aa070c2d977148bd4a
0xc908e26576854a5959929655f133899fc425f57ac89ab741a103c9e1b554812c
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 Target market: Question: Will ...
no
1
fide-world-rapid-chess-champion
Will Magnus Carlsen win the World Rapid Championship?
66,049,107
66,049,107
def7b97ab5353c5695726d9f192ac0178e727810
0x072cee131e3fe738d80483aa070c2d977148bd4a
0xb1d8edd5495415396b5cbfdf3f577be73475a0a3a54374e4e85f27365ccf5362
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
fide-world-rapid-chess-champion
Will Wesley So win the 2024 World Rapid Championship?
66,049,684
66,049,684
eabf53dde4925721456ce340baacb1ff8d7f2cf8
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x16069c08c3f7022390ecc169dd2aee77bfda70121df6415932a38ddffba72a67
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
fide-world-rapid-chess-champion
Will Maxime Vachier-Lagrave win the 2024 World Rapid Championship?
66,049,819
66,049,819
126019027789d50ffd11efc84cf60bfc673252c7
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x1557d7e36a780337700de6b2d63dcc6b6f4fc82827abb1bf83ebf8d5998ab61b
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
steam-awards-game-of-the-year
Will 'Balatro' win Game of the Year in the 2024 Steam Awards?
66,158,995
66,158,995
3899385d2c4fd52977ce16f07e21ed84a758dc35
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x4a044881137b2ec058392a87ab57c1bc22705ee5c385d726e4400d9a7f2f5c65
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
fide-world-blitz-champion
Will Fabiano Caruana win the 2024 World Blitz Championship?
66,158,995
66,158,995
93ab0c1a255b1d341b5b2d9c6d1d9383aeb31f7c
0x072cee131e3fe738d80483aa070c2d977148bd4a
0xa6c94d5515933a15772bd73a3fbb573f1004e230738c500fa82fcae2bdd5531d
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
steam-awards-game-of-the-year
Will 'Stalker 2: Heart of Chernobyl' win Game of the Year in the 2024 Steam Awards?
66,158,995
66,158,995
e70444507c1755be7aea2a9e1d4cedcbc3a7dc78
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x133a0ab961b2fc80d80e073a68e102019b22fb0628ba23251708cf5278a1a512
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
fide-world-blitz-champion
Will Jan-Krzysztof Duda win the 2024 World Blitz Championship?
66,161,265
66,161,265
c2a84691cd674f16e111aa90ab4578b7235d57ae
0x072cee131e3fe738d80483aa070c2d977148bd4a
0xaa69f9c948b8a162eb305285bf31a581868c23a289573889b27361726c213b64
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
highest-grossing-movie-in-2024
Will another movie gross most in 2024?
66,268,230
66,268,230
46f829ee64acfc1b9ec45db84fe4314b1c57e859
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x30ecf18dbd93627bc01d8bf9da92d1e1dbd6c32e1ce2be5500824ff5654d86eb
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
how-long-will-it-take-jersey-jerry-to-hit-a-hole-in-one
Will it take Jerry 6-12 hours to hit a hole in one?
67,477,139
67,477,139
ee91ffa34451f6145144027634e4f78cd04ab5fe
0x072cee131e3fe738d80483aa070c2d977148bd4a
0xc2c1038424a37a044781d1915e82ddbea1515d79cdb8966a2bf0a658b178b21c
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
what-price-will-bitcoin-hit-in-january
Will Bitcoin reach $200,000 by January 31, 2025?
67,477,139
67,477,139
058c20a4a3128ba1fe7ec8111af634224985e695
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x82a55339c54a05c5ec1755324e942a5ddc839de97c8a51b344bc0120419be900
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
february-2025-temperature-increase-c
Will global temperature increase by less than 1.20ºC in February 2025?
68,366,937
68,366,937
e7679794677aa83af9451f4ea297dbd7d087e189
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x1bfee74a9e930055ff37e24abd89bce68f33817b2c6bbafe906064249954fbb4
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
february-2025-temperature-increase-c
Will global temperature increase by more than 1.39ºC in February 2025?
68,928,363
68,928,363
83d823ee912f70cc8bcecf02e2f604d573328704
0x072cee131e3fe738d80483aa070c2d977148bd4a
0xe866a5c8e9ba90086e8dbb93acd5d6b2275ca4b4a61956383c8fd999077255c0
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
price-of-dozen-eggs-in-february
Will egg prices be between $4.50 and $4.75 in February?
68,965,984
68,965,984
bfacafbbbe73ff4d65955fe6b82e2d0118b5a24e
0x072cee131e3fe738d80483aa070c2d977148bd4a
0xad506c65823a0f12dcdb38b19bef3b12f2c655d9d6c5512586d56b1d597cbc7c
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
nba-champion-2024-2025
Will the Dallas Mavericks win the 2025 NBA Finals?
70,503,628
70,503,628
550afb68e84a590a590a0f90c82fa560d65bc14c
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x62ce87ce01ca7cdbae04f574bbcd636c55edad96ac9831f7c2d6491ab47dbec5
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
xrp-all-time-high-in-april
XRP all time high in April?
70,991,125
70,991,125
e18d4043794446be4783f74dd53fd4ea94f0ab42
0x072cee131e3fe738d80483aa070c2d977148bd4a
0xadbaf7f6e2647f50e292b93cf651a5eeddcdd246ebfbc3ed04fc2cfe7bf1df60
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
what-price-will-xrp-hit-in-april
Will XRP reach $3.50 in April?
70,991,125
70,991,125
8380af3f090e1621602562c55853d76ec590663b
0x072cee131e3fe738d80483aa070c2d977148bd4a
0xc5821602b440e61665dce5dcdc0fd20153864ba185d26a13e9be80fe98bb9e97
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
0
fed-decision-in-may-2025
Fed decreases interest rates by 25 bps after May 2025 meeting?
71,241,804
71,241,804
156562ba96e8ed27a39f931add45d6d0ff3e9cfe
0x072cee131e3fe738d80483aa070c2d977148bd4a
0xffffb2874475ae9c1e3a0e3c3c4b4e329eb3105427aa484f357bf41c5fd77c4f
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
fed-decision-in-may-2025
No change in Fed interest rates after May 2025 meeting?
71,241,804
71,241,804
d695064aff609889c1cab59f574680d3f26f72de
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x5cea1edc2de5ada3f4716dd4404ba0cd97203bdc6476f192af7a8d372c2151c8
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
yes
1
crunchyroll-best-main-character
Will Sung Jinwoo win Crunchyroll's Best Main Character Award for 2025?
71,959,243
71,959,243
454568eefaee0c2d6dd7e2cbabd31aa8fbb19f50
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x0d220793a65bfffec618c25a014d7c1a98dcc9b49058073fa69135b9f45bf023
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
what-price-will-xrp-hit-in-may
Will XRP reach $3.50 in May?
72,248,735
72,248,735
0194ef14d6375144677ed2ac0a165df97cd17f0a
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x5c5d8fb514510350791c3389a89bcf73922279a2eeb717fcf71af4ad11a0a951
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
largest-company-end-of-may
Will Amazon be the largest company in the world by market cap on May 31?
72,248,735
72,248,735
5f23214ce54e03c3ba7c9cc9203dfd8b69f0c48e
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x8279c6f272e91c531774740fcca2fae9a09767c8052c1edeb22229cf2d58c037
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
karate-kid-legends-opening-weekend-box-office
Will "Karate Kid: Legends" gross less than $20m opening weekend?
72,298,572
72,298,572
c2c06ee919cad9ce9c0d6305a38ae60690291682
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x4717b0024b59499b6afe3bf5451b1d78170ffa565253cc12545597a5ac78b676
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
from-the-world-of-john-wick-ballerina-rotten-tomatoes-score
Will "From the World of John Wick: Ballerina" Rotten Tomatoes score be less than 50?
72,606,647
72,606,647
066e1eca937aed8f8c5048275b4a8b885e9c2e77
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x686fb9aba46c4d33c53ad7c951a32b8b655c3be13a7da5ffa2abc2e433024cdd
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
may-2025-temperature-increase-c
Will global temperature increase by less than 1.05ºC in May 2025?
72,606,647
72,606,647
b4b1812d805f8227b19dc4e1ddfad957ce0901e6
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x69722a3bd3cb974ff0a824c5db3a6e56131958ddda0e2241a17598766299eaa2
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
may-2025-temperature-increase-c
Will global temperature increase by between 1.20-1.24ºC in May 2025?
72,606,647
72,606,647
4e269a5c288f253791a4affed6e9f37783c44e36
0x072cee131e3fe738d80483aa070c2d977148bd4a
0xdb581d7b4554a2d9ea00152954170ec85128c96460f15c7bcc858643b7a4b870
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
yes
1
how-to-train-your-dragon-rotten-tomatoes-score
Will "How to Train Your Dragon" Rotten Tomatoes score be less than 75?
72,850,083
72,850,083
e1f46be6335c7069e8f3f64c530dba6461092939
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x6edc6c77c16ef3ba1bcd646159f12f8b8a39528e500dcff95b9220ccfbb75141
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
yes
1
nba-champion-2024-2025
Will the Oklahoma City Thunder win the 2025 NBA Finals?
73,181,169
73,181,169
c8daac025e35af3169c496696398905ae99a2e71
0x072cee131e3fe738d80483aa070c2d977148bd4a
0xdd9ef0d63585635fadb407fa671aa6f3e3c7b7288085f9ba47894255aeab9851
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
largest-company-end-of-june
Will Apple be the largest company in the world by market cap on June 30?
73,439,707
73,439,707
0395eac8ebd5439fdc83323a1672b35bca7aabe5
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x0d133da4c0c95cef63d19e8d5bef0ed0cf2616f81bfc843fecfd8469fe54be49
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Ian Nepomnichtchi win the Champions Chess Tour Finals? | Event: champions-chess-tour-winner | Choice: yes | Confidence: 1.0 2. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 3. Question: Will Magnus Carlse...
no
1
jurassic-world-rebirth-5-day-opening-weekend-box-office
Will "Jurassic World" Opening Weekend Box Office be less than $117m?
73,707,236
73,707,236
33381ce22a3813c4febb929007f1eebcf21f4ed7
0x072cee131e3fe738d80483aa070c2d977148bd4a
0x0d09f8cb4ac601074c02828328a893fdab030ece3ca682faaef89d82c43daec2
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will "Sonic 3" Rotten Tomatoes score be below 60? | Event: sonic-3-rotten-tomatoes-score | Choice: no | Confidence: 1.0 2. Question: Will Magnus Carlsen win the World Rapid Championship? | Event: fide-world-rapid-chess-champion | Choice: no | Confidence: 1.0 3. Question: Will Wesley So win th...
no
1
fed-decision-in-july
Fed decreases interest rates by 50+ bps after July 2025 meeting?
74,612,449
74,612,449
8e7485ff85044e1659b21d3cd4123a671a4fa3ad
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0xbfdc7ef421c0d81f44ee3bc32f7b831a1fa335d43987f8ae7572664f63343a2b
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: None Target market: Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot Event: atp-norrie-vachero-2025-10-30 Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
norrie
0
atp-norrie-vachero-2025-10-30
Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot
78,360,245
79,912,699
051a4f175c2580624f68b6940d672e8e7e9c2e3d
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0x0660ca98c4633c1854f5d2dd57353cdca4a2d6c38cf28ece01dd9a42914a1565
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot | Event: atp-norrie-vachero-2025-10-30 | Choice: norrie | Confidence: 0.0 Target market: Question: Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo Event: wta-bai-guo-2025-10-30 Predict the user's choice and confidence for the target market. O...
bai
0
wta-bai-guo-2025-10-30
Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo
78,361,133
78,361,133
2f4265675e56875934cf61e43cc87c51a485f0ae
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0x7620068776641540e1f7c0bcf432d0148dcbbfd44b51cb4ce9858027e8bc2537
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot | Event: atp-norrie-vachero-2025-10-30 | Choice: norrie | Confidence: 0.0 2. Question: Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo | Event: wta-bai-guo-2025-10-30 | Choice: bai | Confidence: 0.0 Target market: Question: Prudential Hong Kon...
mboko
0.00001
wta-eala-mboko-2025-10-30
Prudential Hong Kong Tennis Open: Alexandra Eala vs Victoria Mboko
78,361,139
78,361,139
7f816bf1117dada6869401fd71fd334eadd55922
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0xf03546cf6338e55e1e2924065476c8beee40645262fe3279f99ccc70e74731c8
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot | Event: atp-norrie-vachero-2025-10-30 | Choice: norrie | Confidence: 0.0 2. Question: Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo | Event: wta-bai-guo-2025-10-30 | Choice: bai | Confidence: 0.0 3. Question: Prudential Hong Kong Tennis Open...
iatcenko
0
wta-iatcenk-kawa-2025-10-30
Chennai Open: Polina Iatcenko vs Katarzyna Kawa
78,361,149
78,361,222
2a427d222f23076d05970e24bd2dba5a31a2b2a7
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0xce47bf30501d7861247f97071db69225467b0995b3651dd125744d11039512e9
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot | Event: atp-norrie-vachero-2025-10-30 | Choice: norrie | Confidence: 0.0 2. Question: Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo | Event: wta-bai-guo-2025-10-30 | Choice: bai | Confidence: 0.0 3. Question: Prudential Hong Kong Tennis Open...
altmaier
0
atp-augeral-altmaie-2025-10-30
Rolex Paris Masters: Felix Auger-Aliassime vs Daniel Altmaier
78,361,158
78,361,158
e6b7b59429433a11e142a589114ead2ebf83ac66
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0x57a9913b354c2d3a5e3cb7a766393a153bc086794fa5fdaf41df8fbd711b434b
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot | Event: atp-norrie-vachero-2025-10-30 | Choice: norrie | Confidence: 0.0 2. Question: Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo | Event: wta-bai-guo-2025-10-30 | Choice: bai | Confidence: 0.0 3. Question: Prudential Hong Kong Tennis Open...
dzumhur
0
atp-dzumhur-fearnle-2025-11-02
Hellenic Championship: Damir Dzumhur vs Jacob Fearnley
78,535,816
78,535,816
0c8bdf86336887b3d0eeecc478dd3bf3c30a1998
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0x9cfc4382d7e9962f470d18c209785bce662dfb58c0e0b10d2d6ef76fec962244
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot | Event: atp-norrie-vachero-2025-10-30 | Choice: norrie | Confidence: 0.0 2. Question: Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo | Event: wta-bai-guo-2025-10-30 | Choice: bai | Confidence: 0.0 3. Question: Prudential Hong Kong Tennis Open...
djere
0
atp-spizzir-djere-2025-11-03
Hellenic Championship: Eliot Spizzirri vs Laslo Djere
78,535,902
78,535,902
1767d09c5041fe0787ad04cbc7b3ac2190c8f1c6
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0xc9934df9e3863d8d21057a03f42f184db7fb9aad549530888016ac31a13a95c4
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot | Event: atp-norrie-vachero-2025-10-30 | Choice: norrie | Confidence: 0.0 2. Question: Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo | Event: wta-bai-guo-2025-10-30 | Choice: bai | Confidence: 0.0 3. Question: Prudential Hong Kong Tennis Open...
norrie
0
atp-norrie-sonego-2025-11-07
Open de Moselle: Cameron Norrie vs Lorenzo Sonego
78,712,137
78,714,379
34322d5f6b8d673d0b9b908c7d4fe21253f0dc30
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0x6c10d6cfc072d579758d564a9843f1c5091539ac95597942cd7e782e7f0c25a3
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot | Event: atp-norrie-vachero-2025-10-30 | Choice: norrie | Confidence: 0.0 2. Question: Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo | Event: wta-bai-guo-2025-10-30 | Choice: bai | Confidence: 0.0 3. Question: Prudential Hong Kong Tennis Open...
kings
0
nhl-ott-lak-2025-11-24
Senators vs. Kings
79,470,214
79,470,214
f6db808d516c9c55e735c22343a53654178796ea
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0x5619428670934ffd3e9e6f5da41dc65fa95c8d63dceabb536adcabaa65681f7f
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot | Event: atp-norrie-vachero-2025-10-30 | Choice: norrie | Confidence: 0.0 2. Question: Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo | Event: wta-bai-guo-2025-10-30 | Choice: bai | Confidence: 0.0 3. Question: Prudential Hong Kong Tennis Open...
heroic
0
dota2-heroic-ty-2025-11-26
Dota 2: Heroic vs Team Yandex (BO1)
79,530,759
79,554,048
44fb7c7e86de1ad74b18c97a8d8d98868fe02325
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0x01231a52d7399d8ba76d7b629b2680c049ba08ce7c32c62d08ad77beb587e7bd
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot | Event: atp-norrie-vachero-2025-10-30 | Choice: norrie | Confidence: 0.0 2. Question: Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo | Event: wta-bai-guo-2025-10-30 | Choice: bai | Confidence: 0.0 3. Question: Prudential Hong Kong Tennis Open...
mouz
0
dota2-mouz-og-2025-11-26
Dota 2: MOUZ vs OG (BO1)
79,530,936
79,530,936
a07cc50197243d674925b48baf71b51b35d9f3a4
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0x8550780e921c9ddbfdc2e784432409e108b432eb861b7423f8bfd367f2929bb3
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot | Event: atp-norrie-vachero-2025-10-30 | Choice: norrie | Confidence: 0.0 2. Question: Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo | Event: wta-bai-guo-2025-10-30 | Choice: bai | Confidence: 0.0 3. Question: Prudential Hong Kong Tennis Open...
natus vincere
0
dota2-tundra-navi-2025-11-26
Dota 2: Tundra Esports vs Natus Vincere (BO1)
79,533,435
79,554,048
b48df2b91eede7ea80561392666f252475e4850a
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0xe25db0414f43fc41c110680e063953e00cbdd9ffb556229c8cc86d6a179813e8
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot | Event: atp-norrie-vachero-2025-10-30 | Choice: norrie | Confidence: 0.0 2. Question: Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo | Event: wta-bai-guo-2025-10-30 | Choice: bai | Confidence: 0.0 3. Question: Prudential Hong Kong Tennis Open...
execration
0
dota2-tt2-xctn-2025-11-26
Dota 2: Team Tidebound vs Execration (BO1)
79,533,445
79,912,693
3a93e3135f164df49eb0e3b36179b625c9a7cef9
0x073a3fcd41c4d6a935e4e0ffacb2d390f8626f98
0xbf1a4f2b75bbd40d289b1f9a72e1ff2b8499347e96ddcbafbf2f9cd241cb1dda
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot | Event: atp-norrie-vachero-2025-10-30 | Choice: norrie | Confidence: 0.0 2. Question: Jiangxi Open: Zhuoxuan Bai vs Hanyu Guo | Event: wta-bai-guo-2025-10-30 | Choice: bai | Confidence: 0.0 3. Question: Prudential Hong Kong Tennis Open...
natus vincere
0
dota2-xtreme-navi-2025-11-27
Dota 2: Xtreme Gaming vs Natus Vincere (BO1)
79,574,526
79,912,693
6253515476c3e0828731cc9b64b7f949a6780c3f
0x07849fbb31d997c7ba62e13fcc5d31b0688af127
0x5401278f7f9c9df79552148e2b280dea9ea91431a77c2c46686b8bec598970e7
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: None Target market: Question: Ethereum all time high in 2024? Event: ethereum-all-time-high-in-2024 Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
yes
1
ethereum-all-time-high-in-2024
Ethereum all time high in 2024?
66,222,684
66,222,684
1dbb47f56a597fbbd0c2c2c2c2532a3acd20bcd8
0x07849fbb31d997c7ba62e13fcc5d31b0688af127
0xcbc596c7f92eea16cd3e5609c5074cfdb6ed76e919e3af890a4776ceb1247cf3
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum all time high in 2024? | Event: ethereum-all-time-high-in-2024 | Choice: yes | Confidence: 1.0 Target market: Question: Will Berachain launch a token in December? Event: berachain-token-launch-wen Predict the user's choice and confidence for the target market. Output strict JSON: {...
no
1
berachain-token-launch-wen
Will Berachain launch a token in December?
66,222,686
66,222,686
8010a9cba8c5f8dab9cc500033783aa720645526
0x07849fbb31d997c7ba62e13fcc5d31b0688af127
0x82e70a9a64cd42bd8b07768ae91ef85b9e5a962efb8470dc57197d43621a9fa8
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum all time high in 2024? | Event: ethereum-all-time-high-in-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Berachain launch a token in December? | Event: berachain-token-launch-wen | Choice: no | Confidence: 1.0 Target market: Question: Will $MOODENG be listed first on Binance...
no
1
next-coin-listed-on-binance
Will $MOODENG be listed first on Binance?
66,222,688
66,222,688
99510784c3641f6ed3946d155bec975b45acac76
0x07849fbb31d997c7ba62e13fcc5d31b0688af127
0xc7599c7b33b64f891750b57439384d163f547600fed4a6007918751f8f37740d
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Ethereum all time high in 2024? | Event: ethereum-all-time-high-in-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Berachain launch a token in December? | Event: berachain-token-launch-wen | Choice: no | Confidence: 1.0 3. Question: Will $MOODENG be listed first on Binance? | Event: ne...
yes
1
ethereum-all-time-high-wen
No Ethereum all time high in 2024?
66,222,688
66,222,688