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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 - October 2, 3AM ET | Event: bitcoin-up-or-down-october-2-3am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 2, 4AM ET | Event: bitcoin-up-or-down-october-2-4am-et | Choice: up | Confidence: 8.790414418259773e-06 3. Question: Bitcoin Up or Dow...
down
0
xrp-up-or-down-october-3-5pm-et
XRP Up or Down - October 3, 5PM ET
77,224,579
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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 - October 2, 4AM ET | Event: bitcoin-up-or-down-october-2-4am-et | Choice: up | Confidence: 8.790414418259773e-06 2. Question: Bitcoin Up or Down - October 2, 5AM ET | Event: bitcoin-up-or-down-october-2-5am-et | Choice: up | Confidence: 7.96609250788912e-06 3. Question: Bi...
down
0
xrp-up-or-down-october-3-6pm-et
XRP Up or Down - October 3, 6PM ET
77,226,234
77,226,234
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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 - October 2, 5AM ET | Event: bitcoin-up-or-down-october-2-5am-et | Choice: up | Confidence: 7.96609250788912e-06 2. Question: Bitcoin Up or Down - October 2, 6AM ET | Event: bitcoin-up-or-down-october-2-6am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down...
down
0
xrp-up-or-down-october-3-7pm-et
XRP Up or Down - October 3, 7PM ET
77,226,801
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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 - October 2, 6AM ET | Event: bitcoin-up-or-down-october-2-6am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 2, 7AM ET | Event: bitcoin-up-or-down-october-2-7am-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - October 2, ...
down
0
xrp-up-or-down-october-3-8pm-et
XRP Up or Down - October 3, 8PM ET
77,228,746
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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 - October 2, 7AM ET | Event: bitcoin-up-or-down-october-2-7am-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - October 2, 8AM ET | Event: ethereum-up-or-down-october-2-8am-et | Choice: up | Confidence: 1.5241403383814595e-05 3. Question: Bitcoin Up or ...
down
0
xrp-up-or-down-october-3-9pm-et
XRP Up or Down - October 3, 9PM ET
77,230,178
77,231,344
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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 - October 2, 8AM ET | Event: ethereum-up-or-down-october-2-8am-et | Choice: up | Confidence: 1.5241403383814595e-05 2. Question: Bitcoin Up or Down - October 2, 8AM ET | Event: bitcoin-up-or-down-october-2-8am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or ...
down
0
xrp-up-or-down-october-3-10pm-et
XRP Up or Down - October 3, 10PM ET
77,231,744
77,233,045
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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 - October 2, 8AM ET | Event: bitcoin-up-or-down-october-2-8am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 2, 9AM ET | Event: bitcoin-up-or-down-october-2-9am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - October 2, 1...
down
0
xrp-up-or-down-october-3-11pm-et
XRP Up or Down - October 3, 11PM ET
77,234,285
77,236,831
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0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
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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 - October 2, 9AM ET | Event: bitcoin-up-or-down-october-2-9am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 2, 10AM ET | Event: bitcoin-up-or-down-october-2-10am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - October 2,...
down
0
xrp-up-or-down-october-4-12am-et
XRP Up or Down - October 4, 12AM ET
77,236,227
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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 - October 2, 10AM ET | Event: bitcoin-up-or-down-october-2-10am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 2, 11AM ET | Event: bitcoin-up-or-down-october-2-11am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - October ...
down
0
xrp-up-or-down-october-4-1am-et
XRP Up or Down - October 4, 1AM ET
77,236,864
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0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
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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 - October 2, 11AM ET | Event: bitcoin-up-or-down-october-2-11am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 2, 12PM ET | Event: bitcoin-up-or-down-october-2-12pm-et | Choice: down | Confidence: 0.00015069458729680067 3. Question: Bitcoin Up...
up
0.000131
xrp-up-or-down-october-4-2am-et
XRP Up or Down - October 4, 2AM ET
77,238,519
77,239,941
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0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
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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 - October 2, 12PM ET | Event: bitcoin-up-or-down-october-2-12pm-et | Choice: down | Confidence: 0.00015069458729680067 2. Question: Bitcoin Up or Down - October 2, 5PM ET | Event: bitcoin-up-or-down-october-2-5pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up o...
down
0
xrp-up-or-down-october-4-3am-et
XRP Up or Down - October 4, 3AM ET
77,240,809
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0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
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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 - October 2, 5PM ET | Event: bitcoin-up-or-down-october-2-5pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 2, 6PM ET | Event: bitcoin-up-or-down-october-2-6pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - October 2, 8...
down
0
bitcoin-up-or-down-october-4-4am-et
Bitcoin Up or Down - October 4, 4AM ET
77,241,724
77,241,724
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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 - October 2, 6PM ET | Event: bitcoin-up-or-down-october-2-6pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 2, 8PM ET | Event: bitcoin-up-or-down-october-2-8pm-et | Choice: down | Confidence: 0.00014386962670418863 3. Question: Bitcoin Up or ...
down
0
bitcoin-up-or-down-october-4-2pm-et
Bitcoin Up or Down - October 4, 2PM ET
77,259,428
77,259,428
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0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
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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 - October 2, 8PM ET | Event: bitcoin-up-or-down-october-2-8pm-et | Choice: down | Confidence: 0.00014386962670418863 2. Question: Bitcoin Up or Down - October 2, 9PM ET | Event: bitcoin-up-or-down-october-2-9pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or ...
up
0.000099
bitcoin-up-or-down-october-4-3pm-et
Bitcoin Up or Down - October 4, 3PM ET
77,260,460
77,261,817
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0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
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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 - October 2, 9PM ET | Event: bitcoin-up-or-down-october-2-9pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 2, 10PM ET | Event: bitcoin-up-or-down-october-2-10pm-et | Choice: up | Confidence: 0.00020004000800160032 3. Question: Bitcoin Up or ...
down
0
bitcoin-up-or-down-october-4-4pm-et
Bitcoin Up or Down - October 4, 4PM ET
77,261,953
77,263,511
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0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
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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 - October 2, 10PM ET | Event: bitcoin-up-or-down-october-2-10pm-et | Choice: up | Confidence: 0.00020004000800160032 2. Question: Bitcoin Up or Down - October 2, 11PM ET | Event: bitcoin-up-or-down-october-2-11pm-et | Choice: up | Confidence: 0.0002257652441551093 3. Questi...
down
0
bitcoin-up-or-down-october-4-5pm-et
Bitcoin Up or Down - October 4, 5PM ET
77,263,894
77,265,191
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0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
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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 - October 2, 11PM ET | Event: bitcoin-up-or-down-october-2-11pm-et | Choice: up | Confidence: 0.0002257652441551093 2. Question: Bitcoin Up or Down - October 3, 12AM ET | Event: bitcoin-up-or-down-october-3-12am-et | Choice: down | Confidence: 2.059936859906229e-05 3. Quest...
up
0.000073
bitcoin-up-or-down-october-4-6pm-et
Bitcoin Up or Down - October 4, 6PM ET
77,266,149
77,266,882
bc1f999c6c2adcd383bedb83edb94847d2aaaad9
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
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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 - October 3, 12AM ET | Event: bitcoin-up-or-down-october-3-12am-et | Choice: down | Confidence: 2.059936859906229e-05 2. Question: Bitcoin Up or Down - October 3, 3AM ET | Event: bitcoin-up-or-down-october-3-3am-et | Choice: down | Confidence: 8.05277987106165e-06 3. Questi...
down
0
bitcoin-up-or-down-october-4-7pm-et
Bitcoin Up or Down - October 4, 7PM ET
77,267,844
77,268,561
0ff89464c2442ab9e29c65cce7e2eb8cc7bf40cc
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0xfb1228e64ca1726de85d51bdba1a5fce52ef81c970241818b462d6dd1d604842
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 - October 3, 3AM ET | Event: bitcoin-up-or-down-october-3-3am-et | Choice: down | Confidence: 8.05277987106165e-06 2. Question: Bitcoin Up or Down - October 3, 4AM ET | Event: bitcoin-up-or-down-october-3-4am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Do...
down
0
bitcoin-up-or-down-october-4-8pm-et
Bitcoin Up or Down - October 4, 8PM ET
77,268,877
77,270,248
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0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0xd1771cf8f4ee0517503912fa096be494680fb8866ea871ff8bd3adcbdb5b7873
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 - October 3, 4AM ET | Event: bitcoin-up-or-down-october-3-4am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 3, 5AM ET | Event: bitcoin-up-or-down-october-3-5am-et | Choice: up | Confidence: 0.00012492409657258906 3. Question: Bitcoin Up or Do...
up
0.00063
bitcoin-up-or-down-october-4-9pm-et
Bitcoin Up or Down - October 4, 9PM ET
77,271,211
77,271,211
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0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
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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 - October 3, 5AM ET | Event: bitcoin-up-or-down-october-3-5am-et | Choice: up | Confidence: 0.00012492409657258906 2. Question: Bitcoin Up or Down - October 3, 6AM ET | Event: bitcoin-up-or-down-october-3-6am-et | Choice: up | Confidence: 0.00010914524471770686 3. Question:...
down
0
bitcoin-up-or-down-october-4-10pm-et
Bitcoin Up or Down - October 4, 10PM ET
77,273,629
77,273,629
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0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x3c2ec36dd94673b62f97b77b2a29e58b7d69a93282116f5de7ce35ab6a37d42f
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 - October 3, 6AM ET | Event: bitcoin-up-or-down-october-3-6am-et | Choice: up | Confidence: 0.00010914524471770686 2. Question: Bitcoin Up or Down - October 3, 7AM ET | Event: bitcoin-up-or-down-october-3-7am-et | Choice: down | Confidence: 0.0005002501250625312 3. Question...
down
0
bitcoin-up-or-down-october-4-11pm-et
Bitcoin Up or Down - October 4, 11PM ET
77,274,039
77,278,709
e9e42d00b6b8abb883d3e14e182c2b9f2c0613c5
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0xb12084202f3dc3ef9d6ec9201b437dc2afff1dd0fabb8e77a7a47c7a548b0a9a
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 - October 3, 7AM ET | Event: bitcoin-up-or-down-october-3-7am-et | Choice: down | Confidence: 0.0005002501250625312 2. Question: Bitcoin Up or Down - October 3, 8AM ET | Event: bitcoin-up-or-down-october-3-8am-et | Choice: down | Confidence: 0.00016686167434896084 3. Questi...
down
0
bitcoin-up-or-down-october-5-12am-et
Bitcoin Up or Down - October 5, 12AM ET
77,275,462
77,277,016
6388c50c15b3b31ab38ac458b4ca9d6b04b08e15
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x771f10194cb82f42d72ee69dd6e94b9db5382420d66c938ef8134bea47830d79
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 - October 3, 8AM ET | Event: bitcoin-up-or-down-october-3-8am-et | Choice: down | Confidence: 0.00016686167434896084 2. Question: Bitcoin Up or Down - October 3, 11AM ET | Event: bitcoin-up-or-down-october-3-11am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up o...
up
0.000101
bitcoin-up-or-down-october-5-1am-et
Bitcoin Up or Down - October 5, 1AM ET
77,277,746
77,278,717
62606ff197bafe884ab2a4174752f0447d33301f
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0xbd3712fa72f002a7259ed2e635d0ebc798024a7a26b9d99d6504c9376ec87cad
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 - October 3, 11AM ET | Event: bitcoin-up-or-down-october-3-11am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 3, 12PM ET | Event: bitcoin-up-or-down-october-3-12pm-et | Choice: up | Confidence: 0.000375234521575985 3. Question: Solana Up or D...
down
0
bitcoin-up-or-down-october-5-2am-et
Bitcoin Up or Down - October 5, 2AM ET
77,279,333
77,280,405
70fa87922ba168602c6168d08732ac9780256ad9
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x9cc52bb4bd389185b09ba55bfe2b3ee0813bd5ff940687c0b31df025ca1762de
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 - October 3, 12PM ET | Event: bitcoin-up-or-down-october-3-12pm-et | Choice: up | Confidence: 0.000375234521575985 2. Question: Solana Up or Down - October 3, 12PM ET | Event: solana-up-or-down-october-3-12pm-et | Choice: down | Confidence: 6.305567816381865e-05 3. Question...
down
0
bitcoin-up-or-down-october-5-3am-et
Bitcoin Up or Down - October 5, 3AM ET
77,281,044
77,282,065
66361d42891e9f1c747924192fd5ed26bf4be5ef
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x3817fae4f59de28f4c24c961230e464f235344b86a923b6fbf66a483022f35f1
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 - October 3, 12PM ET | Event: solana-up-or-down-october-3-12pm-et | Choice: down | Confidence: 6.305567816381865e-05 2. Question: XRP Up or Down - October 3, 2PM ET | Event: xrp-up-or-down-october-3-2pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - Octobe...
down
0.000292
bitcoin-up-or-down-october-5-4am-et
Bitcoin Up or Down - October 5, 4AM ET
77,282,346
77,283,747
ea49bd22e186cb42d8b78a0ac91f4f9172caf153
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x29ff94653b30b9bceda0ffa1309f78c6813abd2c5053a67e025202710645edf3
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 - October 3, 2PM ET | Event: xrp-up-or-down-october-3-2pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - October 3, 3PM ET | Event: xrp-up-or-down-october-3-3pm-et | Choice: down | Confidence: 1.4435303546943611e-05 3. Question: XRP Up or Down - October 3, 4P...
down
0
bitcoin-up-or-down-october-5-5am-et
Bitcoin Up or Down - October 5, 5AM ET
77,284,349
77,284,349
777a8418c27e84f4df88d503ff44f38adeae2970
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0xc7e412b6dc0d892334c2bffb53ab28929f8adaec9445646306255cfa5e2110c2
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 - October 3, 3PM ET | Event: xrp-up-or-down-october-3-3pm-et | Choice: down | Confidence: 1.4435303546943611e-05 2. Question: XRP Up or Down - October 3, 4PM ET | Event: xrp-up-or-down-october-3-4pm-et | Choice: down | Confidence: 0.00031299577462534823 3. Question: XRP Up or D...
down
0
bitcoin-up-or-down-october-5-6am-et
Bitcoin Up or Down - October 5, 6AM ET
77,286,028
77,287,151
92a5b5f2b26def8d179774c9fd39ea2d07d8da3c
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x54d6265586dc7d297e0cb57f4ce5d337451a096a66d369f096efe1c485e02e95
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 - October 3, 4PM ET | Event: xrp-up-or-down-october-3-4pm-et | Choice: down | Confidence: 0.00031299577462534823 2. Question: XRP Up or Down - October 3, 5PM ET | Event: xrp-up-or-down-october-3-5pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - October 3, 6P...
down
0.002938
bitcoin-up-or-down-october-5-7am-et
Bitcoin Up or Down - October 5, 7AM ET
77,287,498
77,288,813
a0d9bbb11b8e0ee09e061393e4992b2d5d9c7073
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x2bf494cb406cd32c6d4d7d3b7956932cda0e0c5fd6d29143591a660ac8f82612
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 - October 3, 5PM ET | Event: xrp-up-or-down-october-3-5pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - October 3, 6PM ET | Event: xrp-up-or-down-october-3-6pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - October 3, 7PM ET | Event: xrp-u...
down
0
bitcoin-up-or-down-october-5-8am-et
Bitcoin Up or Down - October 5, 8AM ET
77,289,061
77,290,506
62180d74c23578deb3e21b9e726d06f70354ae96
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0xdacdd2d9eecdda968ec7fa17321d05896160a819be04d03df759e942af77f4aa
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 - October 3, 6PM ET | Event: xrp-up-or-down-october-3-6pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - October 3, 7PM ET | Event: xrp-up-or-down-october-3-7pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - October 3, 8PM ET | Event: xrp-u...
up
0.000489
bitcoin-up-or-down-october-5-9am-et
Bitcoin Up or Down - October 5, 9AM ET
77,291,252
77,292,203
403f3ee7755ff84084ae3de274e4b79765c59089
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x80fb26830c0ad721194899e96bf587250d5cb49d4c604d5af065346b60005b90
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 - October 3, 7PM ET | Event: xrp-up-or-down-october-3-7pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - October 3, 8PM ET | Event: xrp-up-or-down-october-3-8pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - October 3, 9PM ET | Event: xrp-u...
up
0.000119
bitcoin-up-or-down-october-5-10am-et
Bitcoin Up or Down - October 5, 10AM ET
77,293,195
77,293,906
9628837279ba7600771deab926ddc5937c629c17
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x98971993c4aaf8998edf8a13a1fd33c915cc2f1b211b13b960f1ed8c4cdf06d5
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 - October 3, 8PM ET | Event: xrp-up-or-down-october-3-8pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - October 3, 9PM ET | Event: xrp-up-or-down-october-3-9pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - October 3, 10PM ET | Event: xrp-...
down
0
bitcoin-up-or-down-october-5-11am-et
Bitcoin Up or Down - October 5, 11AM ET
77,294,407
77,295,587
5b22b548bcd4d83fd87ad096fb346fca2406af9f
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0xd7504296ed9e8f5c7e7f2c7a9a3aa756b6f164023dbe89f079955c7b9aeb66e0
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 - October 3, 9PM ET | Event: xrp-up-or-down-october-3-9pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - October 3, 10PM ET | Event: xrp-up-or-down-october-3-10pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - October 3, 11PM ET | Event: xr...
down
0
bitcoin-up-or-down-october-5-12pm-et
Bitcoin Up or Down - October 5, 12PM ET
77,295,847
77,300,671
262090c8ba170aae71a834c786aeab954510e368
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x446feea892671ae03d6734d552ce01fb0e0dcd3e8403c475906e444c7bff6e8c
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 - October 3, 10PM ET | Event: xrp-up-or-down-october-3-10pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - October 3, 11PM ET | Event: xrp-up-or-down-october-3-11pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - October 4, 12AM ET | Event: ...
down
0
bitcoin-up-or-down-october-5-1pm-et
Bitcoin Up or Down - October 5, 1PM ET
77,298,260
77,298,260
9a4e8be44903fdd72b4fc67a55e45b70d8fbfe0d
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0xa26666db9144151c67f2b44b3d2ce08a75d8327684ec72f09056386cd34c5e36
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 - October 3, 11PM ET | Event: xrp-up-or-down-october-3-11pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - October 4, 12AM ET | Event: xrp-up-or-down-october-4-12am-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - October 4, 1AM ET | Event: x...
down
0
bitcoin-up-or-down-october-5-2pm-et
Bitcoin Up or Down - October 5, 2PM ET
77,299,835
77,304,056
ac2d417458247eae00a763ea30f77418183086c4
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0xcb01d7fc4a2763d84b00f043c1c1ba5e17a30bbc6e3bd1e33a853bfe907cceca
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 - October 4, 12AM ET | Event: xrp-up-or-down-october-4-12am-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - October 4, 1AM ET | Event: xrp-up-or-down-october-4-1am-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - October 4, 2AM ET | Event: xrp...
down
0
bitcoin-up-or-down-october-5-3pm-et
Bitcoin Up or Down - October 5, 3PM ET
77,301,011
77,301,011
822d8501a4cd4beafa34e8cb26beb30938409501
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x044d12077375bd514414524d8b01d27cca253f887f2bc7955d901dde4e8e9e7c
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 - October 4, 1AM ET | Event: xrp-up-or-down-october-4-1am-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - October 4, 2AM ET | Event: xrp-up-or-down-october-4-2am-et | Choice: up | Confidence: 0.00013149243918474687 3. Question: XRP Up or Down - October 4, 3AM ...
up
0.000805
bitcoin-up-or-down-october-5-7pm-et
Bitcoin Up or Down - October 5, 7PM ET
77,308,400
77,308,400
9d933f144f632e75451a121540e31f68c0990725
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x332e4e9856809d966def231b6b054d6a5c609d82bd78eddde5e634b876cf75cb
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 - October 4, 2AM ET | Event: xrp-up-or-down-october-4-2am-et | Choice: up | Confidence: 0.00013149243918474687 2. Question: XRP Up or Down - October 4, 3AM ET | Event: xrp-up-or-down-october-4-3am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - October 4, ...
down
0
bitcoin-up-or-down-october-5-8pm-et
Bitcoin Up or Down - October 5, 8PM ET
77,309,564
77,310,833
d6690a2f90e4f2cc366c5bdf1d9dc57ebc1730bb
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0xe196fb4b8dbb89f72250b741208e489e17c95aebebabacf713eb24d947895eba
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 - October 4, 3AM ET | Event: xrp-up-or-down-october-4-3am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 4, 4AM ET | Event: bitcoin-up-or-down-october-4-4am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - October 4, 2PM ET | ...
up
0.000937
bitcoin-up-or-down-october-5-9pm-et
Bitcoin Up or Down - October 5, 9PM ET
77,311,518
77,311,518
36e2e3627bef8e4b17a892f780e095b0ede30a39
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0xa1fe0002e589035fd7e168638e746243a7c0183f69fba537155e35c858b02e3b
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 - October 4, 4AM ET | Event: bitcoin-up-or-down-october-4-4am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 4, 2PM ET | Event: bitcoin-up-or-down-october-4-2pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - October 4, 3...
down
0
bitcoin-up-or-down-october-5-10pm-et
Bitcoin Up or Down - October 5, 10PM ET
77,313,478
77,314,258
b57eeab98e67ebe482a26b1193ddeed98bb13448
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x954306c391149d02300517403da1c545950eddfdf57357c1443112b3517a6f3e
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 - October 4, 2PM ET | Event: bitcoin-up-or-down-october-4-2pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 4, 3PM ET | Event: bitcoin-up-or-down-october-4-3pm-et | Choice: up | Confidence: 9.914316172543239e-05 3. Question: Bitcoin Up or Dow...
down
0
bitcoin-up-or-down-october-5-11pm-et
Bitcoin Up or Down - October 5, 11PM ET
77,315,267
77,319,317
8ba5e890592e9d30dad0fee4ffb9b960911bc009
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0xb0e7e275716092cdf5562a93a746805664bef2d9f5fe82464319e542b5a59d37
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 - October 4, 3PM ET | Event: bitcoin-up-or-down-october-4-3pm-et | Choice: up | Confidence: 9.914316172543239e-05 2. Question: Bitcoin Up or Down - October 4, 4PM ET | Event: bitcoin-up-or-down-october-4-4pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Dow...
down
0
bitcoin-up-or-down-october-6-12am-et
Bitcoin Up or Down - October 6, 12AM ET
77,316,846
77,317,608
40a155c2362af074df26eac156e4d001a72818d5
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x1115a1138869291a9be0ca2461174aaa57b6c4b0d64fa4c3a89efe60822c0a0c
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 - October 4, 4PM ET | Event: bitcoin-up-or-down-october-4-4pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 4, 5PM ET | Event: bitcoin-up-or-down-october-4-5pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - October 4, 6...
down
0
bitcoin-up-or-down-october-6-1am-et
Bitcoin Up or Down - October 6, 1AM ET
77,318,381
77,320,262
12e4c92e9ec3f7f8318f1564200966bdfb1020ef
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x57314894864132bcde3f57d5e1fa1f0f67a9be2b0e07e2c6b236cdb25a8c7d42
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 - October 4, 5PM ET | Event: bitcoin-up-or-down-october-4-5pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 4, 6PM ET | Event: bitcoin-up-or-down-october-4-6pm-et | Choice: up | Confidence: 7.260527114268496e-05 3. Question: Bitcoin Up or Dow...
down
0
bitcoin-up-or-down-october-6-2am-et
Bitcoin Up or Down - October 6, 2AM ET
77,320,262
77,320,262
d7b949c93fc5e2c0571450b9eea05a44adc42e8a
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x82e7efd3d174c36c8e190794158cfb39b9a3f4b1d6002e0945f9128301669461
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 - October 4, 6PM ET | Event: bitcoin-up-or-down-october-4-6pm-et | Choice: up | Confidence: 7.260527114268496e-05 2. Question: Bitcoin Up or Down - October 4, 7PM ET | Event: bitcoin-up-or-down-october-4-7pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Dow...
down
0.000182
bitcoin-up-or-down-october-6-3am-et
Bitcoin Up or Down - October 6, 3AM ET
77,321,450
77,322,688
e6a351b60d808c3432a3c00c14edb038f7dfcacb
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0xa0f130f147a2d1c05924f42804a04519cf21f28e11dc9a4704d2c88183c08eb6
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 - October 4, 7PM ET | Event: bitcoin-up-or-down-october-4-7pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 4, 8PM ET | Event: bitcoin-up-or-down-october-4-8pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - October 4, 9...
down
0
bitcoin-up-or-down-october-6-4am-et
Bitcoin Up or Down - October 6, 4AM ET
77,323,452
77,323,452
ef145d238525724d56057283dba8ec270c5402d7
0x37e78999ff8e580a7b9ff1fbef6a79fb3ba3516d
0x1b1a8a6c32dba09be43145e4a127c837c8e3bf30086ccf3526456a067fddc226
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 - October 4, 8PM ET | Event: bitcoin-up-or-down-october-4-8pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - October 4, 9PM ET | Event: bitcoin-up-or-down-october-4-9pm-et | Choice: up | Confidence: 0.0006299443626315542 3. Question: Bitcoin Up or Dow...
up
0.000007
bitcoin-up-or-down-october-6-5am-et
Bitcoin Up or Down - October 6, 5AM ET
77,325,438
77,326,078
2fbd49420d7e3ac83e899880ddcf8da26440ff87
0x3804fb6b5781d6829f2ac3967647e98021b66136
0x792950178ecfd6b054d603d490d7188420e4071508ccd9886ef087131caa4c91
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: Blackhawks vs. Panthers Event: nhl-chi-fla-2025-10-07 Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
blackhawks
1
nhl-chi-fla-2025-10-07
Blackhawks vs. Panthers
77,404,679
77,404,679
dcca5bde5b095b218c9ac9744931f3c41bf0f16b
0x3804fb6b5781d6829f2ac3967647e98021b66136
0x77778f264f483720102e2f38b58caede4d60a89d894279be07a199ab0bad73ef
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 Target market: Question: Raptors vs. Kings Event: nba-tor-sac-2025-10-08 Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rat...
raptors
1
nba-tor-sac-2025-10-08
Raptors vs. Kings
77,447,201
77,447,201
049ecfd5aa876ce310b894cb75fa9002922a8955
0x3804fb6b5781d6829f2ac3967647e98021b66136
0xf2892ddda9b74699fb1bcf0bb5a5f80d0f2494efd85b6cfb34f4e867a5b57cc5
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 Target market: Question: Celtics vs. Grizzlies Event: nba-bos-mem-2025-10-08 Predict the user's c...
celtics
1
nba-bos-mem-2025-10-08
Celtics vs. Grizzlies
77,447,201
77,447,201
a77040317442dfa004bf999273d7d4f75fb7e16c
0x3804fb6b5781d6829f2ac3967647e98021b66136
0xfcf6ac1d026e5b51a29c554c256590fe28ed0e80cc0e5e865f57e312819c16cb
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
trail blazers
1
nba-por-gsw-2025-10-08
Trail Blazers vs. Warriors
77,447,201
77,447,201
e02d2fa09931a70032a65373bd2634fdb777c7ed
0x3804fb6b5781d6829f2ac3967647e98021b66136
0x0c4e3d5635959b249053792b8c96267612ecab34e0d251d130f15dc9d783ee94
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
celtics
1
nba-bos-tor-2025-10-10
Celtics vs. Raptors
77,550,312
77,550,312
69c2f040d71a1ee19d23cfb31049c11b5574dca9
0x3804fb6b5781d6829f2ac3967647e98021b66136
0x5bea4d9c3beb6aa6df1abfe5d96b832a226220a90c0a3e1556cac7c6020edee5
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
76ers
1
nba-orl-phi-2025-10-10
Magic vs. 76ers
77,550,312
77,550,312
d0afc12f8cfe4ce5517f34c4e282ae3b8ea8a4e4
0x3804fb6b5781d6829f2ac3967647e98021b66136
0xec2453b74754aa99e61d11cc112243fd66ed7c011485f37751ca93b168072f7b
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
jazz
1
nba-uta-sas-2025-10-10
Jazz vs. Spurs
77,550,312
77,550,312
2b5cd980cce61929dac5c5fdb7b304591311f21a
0x3804fb6b5781d6829f2ac3967647e98021b66136
0xd55353d086e0d5d62383e0ff538c721eab4969a426d6404e2134f59a374894f4
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
buccaneers
1
nfl-sf-tb-2025-10-12
49ers vs. Buccaneers
77,617,883
77,617,883
baea9aeff3d621e000f80647332a63931afca63a
0x3804fb6b5781d6829f2ac3967647e98021b66136
0xb4bba8acb4a85c9f4ccd0eec6393e746c0176d271c2d0e52792968a05dd64b0c
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
bears
1
nfl-chi-was-2025-10-13
Bears vs. Commanders
77,662,209
77,662,209
3388ad985c7ce8a6989e62ca5c06d3968ec4b9fd
0x3804fb6b5781d6829f2ac3967647e98021b66136
0x4a0fbcc3f14ea7855d4206cd660283dc1fc8f8e223da8679f75e04d6aebd0f3e
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
wild
1
nhl-min-dal-2025-10-14
Wild vs. Stars
77,705,791
77,705,791
b81d1cb74bc89487d8bee3fa4c2023920853d1df
0x3804fb6b5781d6829f2ac3967647e98021b66136
0xfdfd2c6012ea621b64c17b31e80f3b97c8a4d3a137fc4aa0f344427bb9c1ea48
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
capitals
1
nhl-tb-wsh-2025-10-14
Lightning vs. Capitals
77,705,791
77,705,791
47e8a58caca2a570cd5ace5edd4ba25bdda2f8ea
0x3804fb6b5781d6829f2ac3967647e98021b66136
0x0471201d7063cac2fb4580d1a4858c4b2a5946aa48d1ef2427e732c620f1c75e
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
lakers
1
nba-dal-lal-2025-10-15
Mavericks vs. Lakers
77,749,244
77,749,244
3a4fe0e42ebc28a13096ca7dc02fde5cbbacd2c0
0x3804fb6b5781d6829f2ac3967647e98021b66136
0xca1b59c0d6bfe2078bc31c133c9ca9b1be2b1ac7c672c03f12b3e6240624880c
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
celtics
1
nba-tor-bos-2025-10-15
Raptors vs. Celtics
77,749,244
77,749,244
45919bf9540c881eff67ddcfb1a66eb5657b9d4c
0x3804fb6b5781d6829f2ac3967647e98021b66136
0xe2dc0e563cd38df55ecb6d3588662707fb2687171d7b45865df8af4d55cbeaed
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
hornets
1
nba-mem-cha-2025-10-15
Grizzlies vs. Hornets
77,749,244
77,749,244
bba9a529d8ed1e05b65136fdc1a5e6eafcec6cae
0x3804fb6b5781d6829f2ac3967647e98021b66136
0xa540261a3e4c0d4e0423c7be8f5ad5a30f67d2b9a34514a3c1c2c6303d510d45
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
canadiens
1
nhl-nyr-mon-2025-10-18
Rangers vs. Canadiens
77,877,865
77,877,865
4a85c4f1790d2a6e995e1eeabdd86e1e15df92a8
0x3804fb6b5781d6829f2ac3967647e98021b66136
0x3af49f39f61c7e4505aecf6f49c06d41db4e030ceaaf322f10db1dd9c940eae0
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
falcons
1
nfl-atl-sf-2025-10-19
Falcons vs. 49ers
77,921,204
77,921,204
e72d6437ad7d92f14da87d1227c1f8aa806677bb
0x3804fb6b5781d6829f2ac3967647e98021b66136
0xde595a41749dffe5b5631a1d1e9b1c8d7ad1c5c92c31b73470f1ed13c0af334b
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
capitals
1
nhl-sea-wsh-2025-10-21
Kraken vs. Capitals
78,005,670
78,005,670
dec3d4d2b305c7e11f987e4eb74cd6a2cfc41762
0x3804fb6b5781d6829f2ac3967647e98021b66136
0xa2704f232d61303d17e7d4b4d9c23b7058a9132971779b5437c3965ff78e5bbd
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
pistons
1
nba-det-chi-2025-10-22
Pistons vs. Bulls
78,048,824
78,048,824
58f9a371f6937826dacf6a1b94aa9f763507f203
0x3804fb6b5781d6829f2ac3967647e98021b66136
0xc327d77934fbb448fb89523640d0d1245c3df45b478ba9a9fd2c3d475760604d
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
76ers
1
nba-phi-bos-2025-10-22
76ers vs. Celtics
78,048,824
78,048,824
534ca7145f7144eeba2eb381e2f9d08f238b73ae
0x3804fb6b5781d6829f2ac3967647e98021b66136
0x9fe6c87cbef1fcc37ddde5f65c22773ce7f865b0af93257719f30ed807dfab25
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
senators
1
nhl-phi-ott-2025-10-23
Flyers vs. Senators
78,092,967
78,092,967
97bc33644824370260eaecc7e29ceea3c038f7c3
0x3804fb6b5781d6829f2ac3967647e98021b66136
0x17732cd16ff60ec82dd2d870e43c2c5a4fe238ab8b811fabc69338d91b8e11d1
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
senators
1
nhl-ott-chi-2025-10-28
Senators vs. Blackhawks
78,310,068
78,310,068
ea16f39cd5e00d2ff5bafee59c6d7afca0190a4b
0x3804fb6b5781d6829f2ac3967647e98021b66136
0x280ba9bb0df91fe953139ff5b3fbdbae4cee706ab63ea551626e17826831a21e
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
kings
1
nhl-lak-sj-2025-10-28
Kings vs. Sharks
78,310,068
78,310,068
3c5d10f9cc2e3a7093f9b59ca37118ece2d22a1a
0x3804fb6b5781d6829f2ac3967647e98021b66136
0x6e1cb648bf2370d6d8f18606d344466f5d349558ebc4bf5c0d885dddc926f5c3
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
clippers
1
nba-lac-gsw-2025-10-29
Clippers vs. Warriors
78,310,068
78,310,068
7d87afbf4322c507863412398f4eef26845959a4
0x3804fb6b5781d6829f2ac3967647e98021b66136
0x95b5f184d52416927cdfd40601649334c8fb77ba1474e5a12584612804bec4c0
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: Blackhawks vs. Panthers | Event: nhl-chi-fla-2025-10-07 | Choice: blackhawks | Confidence: 1.0 2. Question: Raptors vs. Kings | Event: nba-tor-sac-2025-10-08 | Choice: raptors | Confidence: 1.0 3. Question: Celtics vs. Grizzlies | Event: nba-bos-mem-2025-10-08 | Choice: celtics | Confidence: ...
islanders
1
nhl-nyi-bos-2025-10-28
Islanders vs. Bruins
78,310,068
78,310,068
e9ca0a45551ba0be72c94a971aa1318430138a06
0x384617153052657fc20b82b870753fcae3e9029a
0x7ac13a74eb956bcd79a3456907fa8637827b05d30ba93112ad0cc85b94478a8e
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 the price of Ethereum be between $4,400 and $4,500 on September 21? Event: ethereum-price-on-september-21 Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
yes
1
ethereum-price-on-september-21
Will the price of Ethereum be between $4,400 and $4,500 on September 21?
76,779,947
76,779,947
71624771cc85a99886acbc1e330e73d1dcb58e21
0x384617153052657fc20b82b870753fcae3e9029a
0x3cdaac98e672eb86b4cb3dd806b2308acb7207e907b4ccfbe580ca22c9e4e186
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 Target market: Question: Will Atletico Madrid win on 2025-09-24? Event: lal-mad-ray-2025-09-24 Predict the user's choice and confidence for the ta...
yes
1
lal-mad-ray-2025-09-24
Will Atletico Madrid win on 2025-09-24?
76,892,663
76,892,663
27e62f371d0c39ed9566f6194ddd32c84cdd939b
0x384617153052657fc20b82b870753fcae3e9029a
0x4b338f6fc3ed17a2321c6ba29efd44d1e5b55951e58b2519b085208248aba4e9
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 Target market: Question: Will ...
yes
1
uel-lil-brn-2025-09-25
Will Lille win on 2025-09-25?
77,013,218
77,013,218
c93f55af14bd376b59f90a5df6ee63d98d882fee
0x384617153052657fc20b82b870753fcae3e9029a
0x23d11385d87c3acb82d2e512e7be291429a88f6a1c47bd4af937fc2a2d91fd85
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
ucl-cfc-ben-2025-09-30
Will Chelsea win on 2025-09-30?
77,115,199
77,115,199
914fd65aef828b5bfed1473416a86bdeeaa3774e
0x384617153052657fc20b82b870753fcae3e9029a
0x3bd58a81092f5f3042b40f3242289548649913e99a092901de89f2db6cdc37a6
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
ucl-nap-spo-2025-10-01
Will Napoli win on 2025-10-01?
77,251,480
77,251,480
6742361bc2b102cb3ff06ee159c36eef811982fc
0x384617153052657fc20b82b870753fcae3e9029a
0xc5f62d57a201a43248c0a62560a63b1cd8e56e0ae1918eacae5d8ead4acf63b7
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
epl-lee-tot-2025-10-04
Will Tottenham win on 2025-10-04?
77,259,640
77,259,640
83b2a221c3280f75c69b5449dfc097ac72dd9016
0x384617153052657fc20b82b870753fcae3e9029a
0x9ef06b1effa60ac7839dc3bace3a89ddace82ec126a3289ba0e071ca142bb8c1
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
ucl-juv-spo-2025-11-04
Will Juventus FC vs. Sporting CP end in a draw?
78,801,461
78,801,461
122d687a34a37ff8e208133688aa282bdb73c1d2
0x384617153052657fc20b82b870753fcae3e9029a
0x9ee33240c84e0e9595973f27fd7b2cadce304190f67fe3c8fc675e50c94ba1e0
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
bun-ein-mai-2025-11-09
Will Eintracht Frankfurt win on 2025-11-09?
78,826,986
78,826,986
5caee71a1535cee2318b5113befdfb3de10138fd
0x384617153052657fc20b82b870753fcae3e9029a
0x971b6376b65b1d76ddd60143143b5d68b129de1f91033a2d074c6ef2e2158ae4
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
lal-cel-bar-2025-11-09
Will Barcelona win on 2025-11-09?
78,827,229
78,827,229
0a9512496dd71e488b2b115fbfbe5adffac3b0c5
0x384617153052657fc20b82b870753fcae3e9029a
0x5ce6663f0fafdc49ce0bd104938680454bb9b0f164d00602b043eb2c9e6c6e85
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
ucl-liv-psv-2025-11-26
Will PSV win on 2025-11-26?
79,650,269
79,650,269
3490c8d99fbbc5a31ea97db883472829fbed731a
0x384617153052657fc20b82b870753fcae3e9029a
0x3f20f83381ff99908041cf0d0f81467bdaf2f63a176e48b4b107a54ca0d08df6
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
nba-cup-winner-164
Will the Minnesota Timberwolves win the NBA Cup?
79,650,527
79,650,527
a297f7ec558fe8b13ae6025e0ea5216c92b876e3
0x384617153052657fc20b82b870753fcae3e9029a
0x6c5c5f0eea0f2578d545af01929db2bcb781e216f859631dae82a2dd1a2f0c63
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
bun-ein-mai-2025-11-09
Will Eintracht Frankfurt vs. FSV Mainz 05 end in a draw?
79,650,527
79,650,527
46296f00992ebc33919032a3fe8d3fcab76e196a
0x384617153052657fc20b82b870753fcae3e9029a
0xab65843b77ecbd28f561df9f26a5ba3bdff5dfdf5bb127e56e416e0702e730fe
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
epl-che-liv-2025-10-04
Will Chelsea vs. Liverpool end in a draw?
79,650,527
79,650,527
f58d4c25aceb8212ebe10b5c76f87b9f4847bb26
0x384617153052657fc20b82b870753fcae3e9029a
0xb30283ae26b6918e9658d844bf984137fc71020c5dbd2e55bfb9fd2b66ab1dac
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
nba-cup-winner-164
Will the Denver Nuggets win the NBA Cup?
79,650,527
79,650,527
0eff96145392d98f1b07f65ed491f2ab0df2561b
0x384617153052657fc20b82b870753fcae3e9029a
0x0bf8e17aa110ef362a4add00e8c792f38a89a152f8359fc6062feb24a396313c
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
nba-cup-winner-164
Will the Milwaukee Bucks win the NBA Cup?
79,650,529
79,650,529
1d866cc204d6b3fd01f313563f578015c79b840f
0x384617153052657fc20b82b870753fcae3e9029a
0x0fe51eab70363a1ef459199c2126691199d838c45e36e51088de7f19108176be
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
uef-grc-sco-2025-11-15
Will Scotland win on 2025-11-15?
79,650,529
79,650,529
b57e9afd691435674f88f7e764b2c54a2933362b
0x384617153052657fc20b82b870753fcae3e9029a
0x1bf7c30ba20add13f88f9fb4cfa01ca79d3f1b4abb6cf8f2fb60cbf81010a49f
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
epl-new-ars-2025-09-28
Will Newcastle win on 2025-09-28?
79,650,529
79,650,529
52553b04c018606d5d0888b6d33473db440e45ab
0x384617153052657fc20b82b870753fcae3e9029a
0x88857ba36ec360abf8216ed9c43ca8d9b7a39791163d14c3471a9e32d0cd24ab
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 Ethereum be between $4,400 and $4,500 on September 21? | Event: ethereum-price-on-september-21 | Choice: yes | Confidence: 1.0 2. Question: Will Atletico Madrid win on 2025-09-24? | Event: lal-mad-ray-2025-09-24 | Choice: yes | Confidence: 1.0 3. Question: Will Lille win on ...
yes
1
epl-not-sun-2025-09-27
Will Nottingham Forest win on 2025-09-27?
79,650,529
79,650,529
c3931bc7a53658efc38ff47fb1f4d3277c8cda66
0x386d17027f1c9bcde34c9c12ada287ef950f9bb6
0x0059f5405d768fb411aa56a59867a540d552d03407bbce466ca57f6a75c72e21
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 J. B. Pritzker be the Democratic Presidential Nominee? Event: democratic-presidential-nominee Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
yes
1
democratic-presidential-nominee
Will J. B. Pritzker be the Democratic Presidential Nominee?
60,317,656
60,317,656
32a49e135393762b293b717827fd96f285a2083e
0x386d17027f1c9bcde34c9c12ada287ef950f9bb6
0xc3237317e1c7c45fcb38abbf6378454db5b76355d5764d8334cd58f605216170
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 J. B. Pritzker be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 Target market: Question: Will Josh Shapiro be the Democratic Presidential Nominee? Event: democratic-presidential-nominee Predict the user's choice and confid...
yes
1
democratic-presidential-nominee
Will Josh Shapiro be the Democratic Presidential Nominee?
60,317,656
60,317,656
610dc9ba7925f7542356e2c3e221f29a42b97198
0x386d17027f1c9bcde34c9c12ada287ef950f9bb6
0x260fd9d6b10746909a26c2af7a68b409f757c95a07dc57ddd480774a36c8399b
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 J. B. Pritzker be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 2. Question: Will Josh Shapiro be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 Target market: ...
yes
0.621061
how-many-fed-rate-cuts-this-year
Will Fed cut interest rates 3 times in 2024?
61,554,176
61,993,589
e9123c6715dd0a1fa296dcb63814d8fb915daf22
0x386d17027f1c9bcde34c9c12ada287ef950f9bb6
0xa7a9316a2a86e4c1e2cce4449dda5b548ed00ed8ac2a990ce345227601708094
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 J. B. Pritzker be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 2. Question: Will Josh Shapiro be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 3. Question: Wil...
yes
1
how-many-jobs-added-in-september
US adds ore than 250k jobs in September?
62,636,881
62,636,881
7b2a54582f2ff6f0147fce85b61ae056d0fb2e80
0x386d17027f1c9bcde34c9c12ada287ef950f9bb6
0x0efba31710a1935e231a199a27457a7ee4efe779b64a28e1980feed76029ae2a
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 J. B. Pritzker be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 2. Question: Will Josh Shapiro be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 3. Question: Wil...
yes
1
eigenlayer-market-cap-fdv-one-week-after-launch
Eigenlayer market cap (FDV) 5-6b one week after launch?
62,780,747
62,780,747
13f3d5b7566d9706528e81974fdecfbb91bd39fd
0x386d17027f1c9bcde34c9c12ada287ef950f9bb6
0xa21709ccbfd174cb20318876d72d9c98c3526fcf5ba373c19360e18d4fefe960
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 J. B. Pritzker be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 2. Question: Will Josh Shapiro be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 3. Question: Wil...
no
0
ethereum-above-2400-on-october-11
Ethereum above $2,400 on October 11?
62,907,997
62,907,997
e2007f686fd665f9b08e0c30bbc362a730a888fb
0x386d17027f1c9bcde34c9c12ada287ef950f9bb6
0x004e19d419d05dd366793689ce2af457d51bc921d9da4af867de09f0864a4305
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 J. B. Pritzker be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 2. Question: Will Josh Shapiro be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 3. Question: Wil...
no
0.695335
fed-interest-rates-december-2024
Fed decreases interest rates by 50 bps after December 2024 meeting?
63,678,005
65,657,742
9acbfc4e5882f31a9074dc19e047ce0c93857846
0x386d17027f1c9bcde34c9c12ada287ef950f9bb6
0x2369419f01faae11f1b2130406b684f036a78a466e1a814dfe84e5ff5b3bd732
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 J. B. Pritzker be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 2. Question: Will Josh Shapiro be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 3. Question: Wil...
yes
1
how-many-jobs-added-in-october
Will the US add less than 100,000 jobs in October?
63,759,772
63,759,772
42863ad8d711c32d0bb00cd1ff4aee937aab4959
0x386d17027f1c9bcde34c9c12ada287ef950f9bb6
0x2a3a29b57597777e5d2941c419716b02a7b8c43b5c19c4ac746ae2d9c720cbe1
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 J. B. Pritzker be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 2. Question: Will Josh Shapiro be the Democratic Presidential Nominee? | Event: democratic-presidential-nominee | Choice: yes | Confidence: 1.0 3. Question: Wil...
yes
0.88242
fed-interest-rates-november-2024
No change in Fed interest rates after 2024 November meeting?
63,923,596
63,925,774