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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 - July 3, 11AM ET | Event: ethereum-up-or-down-july-3-11am-et | Choice: up | Confidence: 0.15395112268949263 2. Question: XRP Up or Down - July 3, 11AM ET | Event: xrp-up-or-down-july-3-11am-et | Choice: up | Confidence: 0.2030007145478821 3. Question: Bitcoin Up or Down -...
up
0.4476
ethereum-up-or-down-july-3-6pm-et
Ethereum Up or Down - July 3, 6PM ET
73,543,581
73,543,581
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0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
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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: XRP Up or Down - July 3, 11AM ET | Event: xrp-up-or-down-july-3-11am-et | Choice: up | Confidence: 0.2030007145478821 2. Question: Bitcoin Up or Down - July 3, 11AM ET | Event: bitcoin-up-or-down-july-3-11am-et | Choice: up | Confidence: 0.13829995002289933 3. Question: Ethereum Up or Down - ...
up
0.212468
solana-up-or-down-july-3-7pm-et
Solana Up or Down - July 3, 7PM ET
73,544,443
73,544,731
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0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
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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 - July 3, 11AM ET | Event: bitcoin-up-or-down-july-3-11am-et | Choice: up | Confidence: 0.13829995002289933 2. Question: Ethereum Up or Down - July 3, 12PM ET | Event: ethereum-up-or-down-july-3-12pm-et | Choice: down | Confidence: 0.025367083169119134 3. Question: XRP Up o...
up
0.457944
xrp-up-or-down-july-3-7pm-et
XRP Up or Down - July 3, 7PM ET
73,544,445
73,544,733
9cde2b537359a93280f9fef237edd5cbe900b3e8
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xe729237b82025632b556784e4d16c9da179b1bb39a442c5e1a46732b6dbbfe8b
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 3, 12PM ET | Event: ethereum-up-or-down-july-3-12pm-et | Choice: down | Confidence: 0.025367083169119134 2. Question: XRP Up or Down - July 3, 12PM ET | Event: xrp-up-or-down-july-3-12pm-et | Choice: down | Confidence: 0.41395724340194756 3. Question: Bitcoin Up or ...
up
0.075918
bitcoin-up-or-down-july-3-7pm-et
Bitcoin Up or Down - July 3, 7PM ET
73,544,446
73,545,024
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0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
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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: XRP Up or Down - July 3, 12PM ET | Event: xrp-up-or-down-july-3-12pm-et | Choice: down | Confidence: 0.41395724340194756 2. Question: Bitcoin Up or Down - July 3, 12PM ET | Event: bitcoin-up-or-down-july-3-12pm-et | Choice: down | Confidence: 0.0 3. Question: Solana Up or Down - July 3, 12PM ...
up
0.423798
ethereum-up-or-down-july-3-7pm-et
Ethereum Up or Down - July 3, 7PM ET
73,545,022
73,545,022
a9cac72932a30bf18d6082c5e78821753ed81882
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x28a9f665eb8ec9056da0849892b0d9d9b4f7fcc47d3b8fd64456b8928260fc72
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 - July 3, 12PM ET | Event: bitcoin-up-or-down-july-3-12pm-et | Choice: down | Confidence: 0.0 2. Question: Solana Up or Down - July 3, 12PM ET | Event: solana-up-or-down-july-3-12pm-et | Choice: down | Confidence: 0.6908772879563668 3. Question: Ethereum Up or Down - July 3...
down
0.129032
solana-up-or-down-july-3-8pm-et
Solana Up or Down - July 3, 8PM ET
73,546,728
73,546,728
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0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x2cb2d711c5dfe01ed47e0099a5701b4fd6ff53826d2566412425591cf9863d17
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 - July 3, 12PM ET | Event: solana-up-or-down-july-3-12pm-et | Choice: down | Confidence: 0.6908772879563668 2. Question: Ethereum Up or Down - July 3, 1PM ET | Event: ethereum-up-or-down-july-3-1pm-et | Choice: down | Confidence: 0.2806207004862969 3. Question: Solana Up or ...
down
0
ethereum-up-or-down-july-3-8pm-et
Ethereum Up or Down - July 3, 8PM ET
73,546,730
73,551,804
b1b875370441b848d93188c5880015bff2ee484d
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x10fe951ff412aca6c72ae11315d26b3eb996e46af005d35a0611578f7bb73a9e
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 3, 1PM ET | Event: ethereum-up-or-down-july-3-1pm-et | Choice: down | Confidence: 0.2806207004862969 2. Question: Solana Up or Down - July 3, 1PM ET | Event: solana-up-or-down-july-3-1pm-et | Choice: down | Confidence: 0.33059093500704445 3. Question: XRP Up or Down...
down
0.260369
xrp-up-or-down-july-3-8pm-et
XRP Up or Down - July 3, 8PM ET
73,546,732
73,546,732
b4d22bf91602593c94f6c14dbe45a87beae9f7b6
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x855c695d7c794b736655f9d18c48856d82464f956c37df7938f4c65c3d246475
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 - July 3, 1PM ET | Event: solana-up-or-down-july-3-1pm-et | Choice: down | Confidence: 0.33059093500704445 2. Question: XRP Up or Down - July 3, 1PM ET | Event: xrp-up-or-down-july-3-1pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - July 3, 1PM ET | E...
up
0.637819
bitcoin-up-or-down-july-3-8pm-et
Bitcoin Up or Down - July 3, 8PM ET
73,546,734
73,546,734
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0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x74cab9d244a18eba7e7ba696ef5d25fb3b17b563e18eae4810db1f9e4f37926b
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 - July 3, 1PM ET | Event: xrp-up-or-down-july-3-1pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - July 3, 1PM ET | Event: bitcoin-up-or-down-july-3-1pm-et | Choice: down | Confidence: 0.40476737333748736 3. Question: Solana Up or Down - July 3, 2PM ET | ...
down
0.069769
solana-up-or-down-july-3-9pm-et
Solana Up or Down - July 3, 9PM ET
73,548,145
73,549,291
4ae8b783670e0735484d7f62c9f1b6dde9452592
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x5f42eb77d9951fc9047ee3a6529757a80cfbbfd9f0f26c9267fb63df9316fcd4
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 - July 3, 1PM ET | Event: bitcoin-up-or-down-july-3-1pm-et | Choice: down | Confidence: 0.40476737333748736 2. Question: Solana Up or Down - July 3, 2PM ET | Event: solana-up-or-down-july-3-2pm-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - July 3, 2...
down
0.246703
ethereum-up-or-down-july-3-9pm-et
Ethereum Up or Down - July 3, 9PM ET
73,548,148
73,549,293
2cc9452116d467cbfe83480736a9e08399a0271b
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x8270eac55ae39b84df7972da6751dc467d41108c543d87906f3ce5ab2075ddad
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 - July 3, 2PM ET | Event: solana-up-or-down-july-3-2pm-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - July 3, 2PM ET | Event: ethereum-up-or-down-july-3-2pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - July 3, 2PM ET | Event: xrp-...
up
0.038799
xrp-up-or-down-july-3-9pm-et
XRP Up or Down - July 3, 9PM ET
73,548,153
73,549,294
763697dd4557ecfd8de6b21dc1ec5c4e4cc429b5
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xf82b7bd3711244cfe1c1dbe9861a42b4271df5532be879d5d768c9472949967e
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 3, 2PM ET | Event: ethereum-up-or-down-july-3-2pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - July 3, 2PM ET | Event: xrp-up-or-down-july-3-2pm-et | Choice: down | Confidence: 0.15134089321223196 3. Question: Bitcoin Up or Down - July 3, 2PM ET...
down
0.010591
bitcoin-up-or-down-july-3-9pm-et
Bitcoin Up or Down - July 3, 9PM ET
73,548,440
73,549,584
f2356275ad1aa12a5647975ea5fcc54a55a99deb
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x1dfe0c0b18f19414aa8fc0b40baa6e3948f70cf5081a276a51203ac887ce685b
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 - July 3, 2PM ET | Event: xrp-up-or-down-july-3-2pm-et | Choice: down | Confidence: 0.15134089321223196 2. Question: Bitcoin Up or Down - July 3, 2PM ET | Event: bitcoin-up-or-down-july-3-2pm-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - July 3, 3PM ET ...
down
0
solana-up-or-down-july-3-10pm-et
Solana Up or Down - July 3, 10PM ET
73,549,586
73,554,911
b8cc92fb820c92683714edc176a5e0dcb404c571
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x41b2b2d36b5254dbd64ba991492d71f1de212987665e54699d57da0f93c5615e
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 - July 3, 2PM ET | Event: bitcoin-up-or-down-july-3-2pm-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - July 3, 3PM ET | Event: ethereum-up-or-down-july-3-3pm-et | Choice: down | Confidence: 0.5658071401521672 3. Question: Solana Up or Down - July 3, ...
up
0.039769
ethereum-up-or-down-july-3-10pm-et
Ethereum Up or Down - July 3, 10PM ET
73,549,590
73,550,463
035cd7c136063ee8890a9f5ef2992e999c9b29e2
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xc5c59f710fdf99a51cff4a2e3810c0024aee7ffa9309547ac12ce6ff0b2c3afc
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 3, 3PM ET | Event: ethereum-up-or-down-july-3-3pm-et | Choice: down | Confidence: 0.5658071401521672 2. Question: Solana Up or Down - July 3, 3PM ET | Event: solana-up-or-down-july-3-3pm-et | Choice: down | Confidence: 0.45962282360444995 3. Question: XRP Up or Down...
down
0
xrp-up-or-down-july-3-10pm-et
XRP Up or Down - July 3, 10PM ET
73,549,593
73,554,912
806b110e1e29b58be144784f8a500246a0e86f49
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x6f33333456ade6e1eb2f4c9eec465d640a337b5a0639ddd5ec8a76a9163ac11d
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 - July 3, 3PM ET | Event: solana-up-or-down-july-3-3pm-et | Choice: down | Confidence: 0.45962282360444995 2. Question: XRP Up or Down - July 3, 3PM ET | Event: xrp-up-or-down-july-3-3pm-et | Choice: up | Confidence: 0.5081291045971488 3. Question: Bitcoin Up or Down - July ...
down
0
bitcoin-up-or-down-july-3-10pm-et
Bitcoin Up or Down - July 3, 10PM ET
73,549,595
73,554,909
781282f74772be5ea051f5221b118bcc9fc54d75
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x78a2e0af36d85f926097fae5cb60299cf1cf25211cb2c98176fe7d67c6f834af
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 - July 3, 3PM ET | Event: xrp-up-or-down-july-3-3pm-et | Choice: up | Confidence: 0.5081291045971488 2. Question: Bitcoin Up or Down - July 3, 3PM ET | Event: bitcoin-up-or-down-july-3-3pm-et | Choice: down | Confidence: 0.5360045283629159 3. Question: Solana Up or Down - July ...
down
0.03032
ethereum-up-or-down-july-3-11pm-et
Ethereum Up or Down - July 3, 11PM ET
73,551,597
73,553,304
f91e2a85305c9b5526120f8f88469b342603a37f
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x5ecb13ef3e8c61ae520c896246cbb4e0599b0e0605266098011e0c52578330f0
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 - July 3, 3PM ET | Event: bitcoin-up-or-down-july-3-3pm-et | Choice: down | Confidence: 0.5360045283629159 2. Question: Solana Up or Down - July 3, 4PM ET | Event: solana-up-or-down-july-3-4pm-et | Choice: down | Confidence: 0.8566463151457545 3. Question: Ethereum Up or Do...
down
0.076066
solana-up-or-down-july-3-11pm-et
Solana Up or Down - July 3, 11PM ET
73,551,599
73,553,300
dd12ab9c12fd99829fa1381ed2bfec4302a2f823
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x7b8c4240fd21224a32d2b6eff047a4164cf82e9623948a62a1b8e5324c65192e
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 - July 3, 4PM ET | Event: solana-up-or-down-july-3-4pm-et | Choice: down | Confidence: 0.8566463151457545 2. Question: Ethereum Up or Down - July 3, 4PM ET | Event: ethereum-up-or-down-july-3-4pm-et | Choice: down | Confidence: 0.9264736147321507 3. Question: Bitcoin Up or D...
down
0.140041
xrp-up-or-down-july-3-11pm-et
XRP Up or Down - July 3, 11PM ET
73,551,600
73,553,306
a63736cb7dcf408b0c4ecca1c7be76baffe6bdc9
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xf47cd3a6662f3b76f378eb269844195da91b4ce7fe13892da69df3359f10ba6b
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 3, 4PM ET | Event: ethereum-up-or-down-july-3-4pm-et | Choice: down | Confidence: 0.9264736147321507 2. Question: Bitcoin Up or Down - July 3, 4PM ET | Event: bitcoin-up-or-down-july-3-4pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - July 3, 4PM...
down
0.02477
bitcoin-up-or-down-july-3-11pm-et
Bitcoin Up or Down - July 3, 11PM ET
73,551,603
73,553,302
39a4ef90704abeabed3e2235ca83b4ef0674069f
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x514eb1762eac34d8b97bc4dc8157a34d9cecb726bb26603516f6b4bc2990ae43
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 - July 3, 4PM ET | Event: bitcoin-up-or-down-july-3-4pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - July 3, 4PM ET | Event: xrp-up-or-down-july-3-4pm-et | Choice: down | Confidence: 0.9665382930256448 3. Question: Solana Up or Down - July 3, 5PM ET | E...
up
0.017941
solana-up-or-down-july-4-12am-et
Solana Up or Down - July 4, 12AM ET
73,553,308
73,553,599
bfdffda8156254f499a61f54a246523475da3044
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x6381fa4035cfe6634768f5ec52d0d0ba6efe28dd86c0acb018f0afc052e1b114
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 - July 3, 4PM ET | Event: xrp-up-or-down-july-3-4pm-et | Choice: down | Confidence: 0.9665382930256448 2. Question: Solana Up or Down - July 3, 5PM ET | Event: solana-up-or-down-july-3-5pm-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - July 3, 5PM ET | E...
up
0.113772
ethereum-up-or-down-july-4-12am-et
Ethereum Up or Down - July 4, 12AM ET
73,553,310
73,553,600
8efdb50814b869824ac468e29808c1d88af0c27f
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x13a119528e3e57d17731efa2c3eedfc8d91a8a014e9c96a27e3ce9cf6169f1ab
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 - July 3, 5PM ET | Event: solana-up-or-down-july-3-5pm-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - July 3, 5PM ET | Event: ethereum-up-or-down-july-3-5pm-et | Choice: up | Confidence: 0.2447663459503782 3. Question: XRP Up or Down - July 3, 5PM ET ...
up
0.135804
xrp-up-or-down-july-4-12am-et
XRP Up or Down - July 4, 12AM ET
73,553,312
73,554,735
a512eecfb0b043d008a616bb57aa9e6c9caa953f
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x9143f0face72a8c1eaab9489fc1f8e8dfab9c8495eb102d08fb257805009f034
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 3, 5PM ET | Event: ethereum-up-or-down-july-3-5pm-et | Choice: up | Confidence: 0.2447663459503782 2. Question: XRP Up or Down - July 3, 5PM ET | Event: xrp-up-or-down-july-3-5pm-et | Choice: up | Confidence: 0.07263436444931107 3. Question: Bitcoin Up or Down - Jul...
down
0.00319
solana-up-or-down-july-4-1am-et
Solana Up or Down - July 4, 1AM ET
73,554,736
73,555,309
bdd314c8ad7334d966d2f05542145bb72bfa2762
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x0a1324e621af3eb66ce1c5de312837b1f9a9c3f3695b3e52034874f725bfc5ce
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 - July 3, 5PM ET | Event: xrp-up-or-down-july-3-5pm-et | Choice: up | Confidence: 0.07263436444931107 2. Question: Bitcoin Up or Down - July 3, 5PM ET | Event: bitcoin-up-or-down-july-3-5pm-et | Choice: up | Confidence: 0.2884269010906175 3. Question: Bitcoin Up or Down - July ...
down
0
ethereum-up-or-down-july-4-1am-et
Ethereum Up or Down - July 4, 1AM ET
73,554,738
73,559,794
512997b1ab9bcf2499383a3d1cfa533a300b5f33
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x5376632adddadf6f378960c7f65ffc20b4344fcf040612279b62dfa62a87a884
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 - July 3, 5PM ET | Event: bitcoin-up-or-down-july-3-5pm-et | Choice: up | Confidence: 0.2884269010906175 2. Question: Bitcoin Up or Down - July 3, 6PM ET | Event: bitcoin-up-or-down-july-3-6pm-et | Choice: up | Confidence: 0.38609509058872693 3. Question: Solana Up or Down ...
down
0.209856
xrp-up-or-down-july-4-1am-et
XRP Up or Down - July 4, 1AM ET
73,554,740
73,556,167
15c3373ad4e0ddc85dad2fdbc70b1e3c9ca16b90
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xdfdc21cb2244c6a8a630e6276a5fa9216a9024ff6bbe9dfb7d2361e8961c54e0
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 - July 3, 6PM ET | Event: bitcoin-up-or-down-july-3-6pm-et | Choice: up | Confidence: 0.38609509058872693 2. Question: Solana Up or Down - July 3, 6PM ET | Event: solana-up-or-down-july-3-6pm-et | Choice: up | Confidence: 0.1417891356955929 3. Question: XRP Up or Down - Jul...
down
0
ethereum-up-or-down-july-4-2am-et
Ethereum Up or Down - July 4, 2AM ET
73,557,002
73,561,492
a20660b0ab58734fb39d5a680006bbdc726fbf5d
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x5b1f7c590da8a3f29ab3ca32c9cc0144ee688eaa79784699a219005019556dbc
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 - July 3, 6PM ET | Event: solana-up-or-down-july-3-6pm-et | Choice: up | Confidence: 0.1417891356955929 2. Question: XRP Up or Down - July 3, 6PM ET | Event: xrp-up-or-down-july-3-6pm-et | Choice: up | Confidence: 0.4319410183517092 3. Question: Ethereum Up or Down - July 3,...
down
0
solana-up-or-down-july-4-2am-et
Solana Up or Down - July 4, 2AM ET
73,557,006
73,561,494
23416531375c2abb82460b0fc7d90cc02c7901dc
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x62c6b28f7703e42a07ab80e6a63c8cdd20d9f9ef4621152a4ff1f78104574cf3
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 - July 3, 6PM ET | Event: xrp-up-or-down-july-3-6pm-et | Choice: up | Confidence: 0.4319410183517092 2. Question: Ethereum Up or Down - July 3, 6PM ET | Event: ethereum-up-or-down-july-3-6pm-et | Choice: up | Confidence: 0.44759985127546664 3. Question: Solana Up or Down - July...
down
0
xrp-up-or-down-july-4-2am-et
XRP Up or Down - July 4, 2AM ET
73,557,009
73,561,496
bd9b13b26725d6e68f6e7afe7d9dfc903a0567b4
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xbb4175113e05bde4838f5970b907a2587f6ed591dfd62312833a130cbabb7182
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 3, 6PM ET | Event: ethereum-up-or-down-july-3-6pm-et | Choice: up | Confidence: 0.44759985127546664 2. Question: Solana Up or Down - July 3, 7PM ET | Event: solana-up-or-down-july-3-7pm-et | Choice: up | Confidence: 0.21246805706286565 3. Question: XRP Up or Down - ...
down
0
ethereum-up-or-down-july-4-3am-et
Ethereum Up or Down - July 4, 3AM ET
73,559,816
73,563,193
9fc81242c81a184ec781d3d37ab3513884c4e0ca
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xb1f4656f458f1dec67054ea2f88cd407f360f4eaab14ccde30dfef3286b81845
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 - July 3, 7PM ET | Event: solana-up-or-down-july-3-7pm-et | Choice: up | Confidence: 0.21246805706286565 2. Question: XRP Up or Down - July 3, 7PM ET | Event: xrp-up-or-down-july-3-7pm-et | Choice: up | Confidence: 0.45794392523364486 3. Question: Bitcoin Up or Down - July 3...
down
0
solana-up-or-down-july-4-3am-et
Solana Up or Down - July 4, 3AM ET
73,559,818
73,563,195
bd51b43e086039d1062d55884b12cf409118ed04
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x52051800316e4e2a4cdab416bc6d242029030d39b12e9dd0d2f2e1d10dc5c72e
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 - July 3, 7PM ET | Event: xrp-up-or-down-july-3-7pm-et | Choice: up | Confidence: 0.45794392523364486 2. Question: Bitcoin Up or Down - July 3, 7PM ET | Event: bitcoin-up-or-down-july-3-7pm-et | Choice: up | Confidence: 0.07591843795273207 3. Question: Ethereum Up or Down - Jul...
up
0.068493
xrp-up-or-down-july-4-3am-et
XRP Up or Down - July 4, 3AM ET
73,559,820
73,559,820
1e0ad34747ae70fb681221cc68ffb6ae800cf368
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x31b3f0d75b24a6b3cc47c0ae4e66b84037c0da73eca9a65b6ede6205d4e9a199
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 - July 3, 7PM ET | Event: bitcoin-up-or-down-july-3-7pm-et | Choice: up | Confidence: 0.07591843795273207 2. Question: Ethereum Up or Down - July 3, 7PM ET | Event: ethereum-up-or-down-july-3-7pm-et | Choice: up | Confidence: 0.4237977626035159 3. Question: Solana Up or Dow...
down
0.272152
ethereum-up-or-down-july-4-4am-et
Ethereum Up or Down - July 4, 4AM ET
73,559,823
73,560,399
d9da80d24e1c5d14a58e990ea2ed3f7ce9e463af
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x5dd6c8f79b43704e2f244f27a95ba73919a211db661cc94b4075b5cce78f9a62
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 3, 7PM ET | Event: ethereum-up-or-down-july-3-7pm-et | Choice: up | Confidence: 0.4237977626035159 2. Question: Solana Up or Down - July 3, 8PM ET | Event: solana-up-or-down-july-3-8pm-et | Choice: down | Confidence: 0.12903225806451613 3. Question: Ethereum Up or D...
down
0.207048
xrp-up-or-down-july-4-4am-et
XRP Up or Down - July 4, 4AM ET
73,559,824
73,560,400
2d0ea0ffc8ef8e75c9772926ab0e23ba43e20e39
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x548875d8b6a9f0aa36e402d0f4fbfdff1f6e832b16c0af792e355f77029ef50c
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 - July 3, 8PM ET | Event: solana-up-or-down-july-3-8pm-et | Choice: down | Confidence: 0.12903225806451613 2. Question: Ethereum Up or Down - July 3, 8PM ET | Event: ethereum-up-or-down-july-3-8pm-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - July 3, 8PM ...
down
0.75575
bitcoin-up-or-down-july-4-4am-et
Bitcoin Up or Down - July 4, 4AM ET
73,559,827
73,560,406
1fd2395ea72a2d5abfde964147f7b7d8c9f0a9b5
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xb122c2bcd1022293bc617f17a1bc9f1e7b02633536d48f1f9836f3d41424b166
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 3, 8PM ET | Event: ethereum-up-or-down-july-3-8pm-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - July 3, 8PM ET | Event: xrp-up-or-down-july-3-8pm-et | Choice: down | Confidence: 0.2603685318638845 3. Question: Bitcoin Up or Down - July 3, 8PM ET ...
down
0
solana-up-or-down-july-4-4am-et
Solana Up or Down - July 4, 4AM ET
73,560,397
73,564,889
531d793fb476c8faebb51736e131bd8e1c93990d
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x4dafc2f2e82331d33b68d4a78ad915c7765ad10e0481c3b3f044081ffbc41f0a
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 - July 3, 8PM ET | Event: xrp-up-or-down-july-3-8pm-et | Choice: down | Confidence: 0.2603685318638845 2. Question: Bitcoin Up or Down - July 3, 8PM ET | Event: bitcoin-up-or-down-july-3-8pm-et | Choice: up | Confidence: 0.6378192478998703 3. Question: Solana Up or Down - July ...
down
0.030008
xrp-up-or-down-july-4-5am-et
XRP Up or Down - July 4, 5AM ET
73,561,265
73,562,125
ffcee3e3bd7eedb849ee447dce9519301ccad23d
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x26329978a39c7763d8b29887338c7d442c198d5a244a946d72c518821860f2db
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 - July 3, 8PM ET | Event: bitcoin-up-or-down-july-3-8pm-et | Choice: up | Confidence: 0.6378192478998703 2. Question: Solana Up or Down - July 3, 9PM ET | Event: solana-up-or-down-july-3-9pm-et | Choice: down | Confidence: 0.06976900570239533 3. Question: Ethereum Up or Dow...
down
0.05397
bitcoin-up-or-down-july-4-5am-et
Bitcoin Up or Down - July 4, 5AM ET
73,561,268
73,562,127
123e0e2e2e9027da387cc862e9bf42b96444de2a
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x15233842286dd099f5baf4540120a86bd5ca6e360790a5ec7b40936e3b4c086d
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 - July 3, 9PM ET | Event: solana-up-or-down-july-3-9pm-et | Choice: down | Confidence: 0.06976900570239533 2. Question: Ethereum Up or Down - July 3, 9PM ET | Event: ethereum-up-or-down-july-3-9pm-et | Choice: down | Confidence: 0.24670313481119846 3. Question: XRP Up or Dow...
down
0.060427
solana-up-or-down-july-4-5am-et
Solana Up or Down - July 4, 5AM ET
73,561,271
73,563,824
b2b985dc7663cd4f422a29c50dfa51cf8dd569b2
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xe50db4ec7e6296d29f8a3246f5c4202b761fe3ac5f642aaebc5af8e7dd0b0428
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 3, 9PM ET | Event: ethereum-up-or-down-july-3-9pm-et | Choice: down | Confidence: 0.24670313481119846 2. Question: XRP Up or Down - July 3, 9PM ET | Event: xrp-up-or-down-july-3-9pm-et | Choice: up | Confidence: 0.03879924819919463 3. Question: Bitcoin Up or Down - ...
down
0.101721
ethereum-up-or-down-july-4-5am-et
Ethereum Up or Down - July 4, 5AM ET
73,562,123
73,562,123
84e61cbd57cb0f980699fac24defdf547025de25
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x8a91953fb08a6e48f5d110f435869f102780ba5bfba224b33b3e7d4e3153b9e1
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 - July 3, 9PM ET | Event: xrp-up-or-down-july-3-9pm-et | Choice: up | Confidence: 0.03879924819919463 2. Question: Bitcoin Up or Down - July 3, 9PM ET | Event: bitcoin-up-or-down-july-3-9pm-et | Choice: down | Confidence: 0.010591337498964203 3. Question: Solana Up or Down - Ju...
down
0
solana-up-or-down-july-4-7am-et
Solana Up or Down - July 4, 7AM ET
73,565,257
73,566,384
85facbe9d39d6b653122a6a554a2483700735f58
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x85259df4691becab5f2a2b0092185c846c8f53b236f9fdd33a40798ea0d18900
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 - July 3, 9PM ET | Event: bitcoin-up-or-down-july-3-9pm-et | Choice: down | Confidence: 0.010591337498964203 2. Question: Solana Up or Down - July 3, 10PM ET | Event: solana-up-or-down-july-3-10pm-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - July 3...
down
0
ethereum-up-or-down-july-4-7am-et
Ethereum Up or Down - July 4, 7AM ET
73,565,259
73,566,382
925110466b085e547dc17c5bdbf3edea9e44fd44
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x9723c6586598cd9117235300ef448bbb7c5c1c11290f9273b4d8516a6d525ee0
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 - July 3, 10PM ET | Event: solana-up-or-down-july-3-10pm-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - July 3, 10PM ET | Event: ethereum-up-or-down-july-3-10pm-et | Choice: up | Confidence: 0.039768979316612676 3. Question: XRP Up or Down - July 3, 1...
down
0.095896
xrp-up-or-down-july-4-7am-et
XRP Up or Down - July 4, 7AM ET
73,565,261
73,566,386
eae74170566135cd3d560e84cd6874a9dee6a66e
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x61e409393cae0a6a8aa3f56e27fa838e16ad4079ccfac0e001c3b3c5528d9d27
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 3, 10PM ET | Event: ethereum-up-or-down-july-3-10pm-et | Choice: up | Confidence: 0.039768979316612676 2. Question: XRP Up or Down - July 3, 10PM ET | Event: xrp-up-or-down-july-3-10pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - July 3, 10P...
up
0.032995
bitcoin-up-or-down-july-4-7am-et
Bitcoin Up or Down - July 4, 7AM ET
73,565,263
73,566,388
41f0a3bcdf27b0f37ae0024c3ed2ca2611411cce
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xe42a2250311b37f015e7989a5d786ed3edaf4d127e3ceaa232a361f627b932c3
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 - July 3, 10PM ET | Event: xrp-up-or-down-july-3-10pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - July 3, 10PM ET | Event: bitcoin-up-or-down-july-3-10pm-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - July 3, 11PM ET | Event: et...
down
0.018399
solana-up-or-down-july-4-8am-et
Solana Up or Down - July 4, 8AM ET
73,566,390
73,568,105
f7703de6e82d829ef41ce3071dd8c822e26125ab
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xf8e810ef0b115acea3b69dc3f82204667918cacea9af8a6532fe835fec9ae7e8
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 - July 3, 10PM ET | Event: bitcoin-up-or-down-july-3-10pm-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - July 3, 11PM ET | Event: ethereum-up-or-down-july-3-11pm-et | Choice: down | Confidence: 0.03032003947400359 3. Question: Solana Up or Down - Jul...
up
0.155095
ethereum-up-or-down-july-4-8am-et
Ethereum Up or Down - July 4, 8AM ET
73,566,392
73,568,103
7b90a7ca59bb57b359827f3cc2f729e7edd196f2
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xbb18c37a855901159893ed32c46ebcc6dff015f0a442dc5c59ef69dfa2176a47
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 3, 11PM ET | Event: ethereum-up-or-down-july-3-11pm-et | Choice: down | Confidence: 0.03032003947400359 2. Question: Solana Up or Down - July 3, 11PM ET | Event: solana-up-or-down-july-3-11pm-et | Choice: down | Confidence: 0.0760664332328904 3. Question: XRP Up or ...
up
0.218149
xrp-up-or-down-july-4-8am-et
XRP Up or Down - July 4, 8AM ET
73,566,394
73,568,107
cdd1693f224c3682f89ffadc115b6e2673be2eca
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xe1c51e8a2a30531068461c12408d47c0531d5b8ac254979f05d0054c451691c6
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 - July 3, 11PM ET | Event: solana-up-or-down-july-3-11pm-et | Choice: down | Confidence: 0.0760664332328904 2. Question: XRP Up or Down - July 3, 11PM ET | Event: xrp-up-or-down-july-3-11pm-et | Choice: down | Confidence: 0.1400409165609938 3. Question: Bitcoin Up or Down - ...
down
0
bitcoin-up-or-down-july-4-8am-et
Bitcoin Up or Down - July 4, 8AM ET
73,566,396
73,571,654
2819562d6f587446b775646af4eda0fc4d7310e6
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x0216e8f80ea0107145adfb87b8598b64eb4c6e56523f9b6d5c1f9f663881a857
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 - July 3, 11PM ET | Event: xrp-up-or-down-july-3-11pm-et | Choice: down | Confidence: 0.1400409165609938 2. Question: Bitcoin Up or Down - July 3, 11PM ET | Event: bitcoin-up-or-down-july-3-11pm-et | Choice: down | Confidence: 0.024769952602215938 3. Question: Solana Up or Down...
down
0
ethereum-up-or-down-july-4-9am-et
Ethereum Up or Down - July 4, 9AM ET
73,568,112
73,573,356
15ee1e8a17677b49e73be71307e58439b036a619
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x7fc6fe9b9b49be652f0ce2f3d75c1a5f0de2d3b86b9c96eb8f02f6489776f483
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 - July 3, 11PM ET | Event: bitcoin-up-or-down-july-3-11pm-et | Choice: down | Confidence: 0.024769952602215938 2. Question: Solana Up or Down - July 4, 12AM ET | Event: solana-up-or-down-july-4-12am-et | Choice: up | Confidence: 0.017940984539380932 3. Question: Ethereum Up...
up
0.526646
xrp-up-or-down-july-4-9am-et
XRP Up or Down - July 4, 9AM ET
73,568,115
73,570,103
586f798ab3dc533d8613998571615ac7672a0dc7
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x72d18fa21f8826b974da6563e8830df309c9d5451ac6a129edfa3adab1dad770
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 - July 4, 12AM ET | Event: solana-up-or-down-july-4-12am-et | Choice: up | Confidence: 0.017940984539380932 2. Question: Ethereum Up or Down - July 4, 12AM ET | Event: ethereum-up-or-down-july-4-12am-et | Choice: up | Confidence: 0.11377245508982035 3. Question: XRP Up or Do...
down
0
bitcoin-up-or-down-july-4-9am-et
Bitcoin Up or Down - July 4, 9AM ET
73,568,117
73,573,353
265cddcbd658ca7a4dc50a1ba7cf7869acc2bc6f
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xa7168e23ee91fcb2e38bc7ee9515fa3c841d2f1ae7926e9366115e13f20a530d
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 4, 12AM ET | Event: ethereum-up-or-down-july-4-12am-et | Choice: up | Confidence: 0.11377245508982035 2. Question: XRP Up or Down - July 4, 12AM ET | Event: xrp-up-or-down-july-4-12am-et | Choice: up | Confidence: 0.13580409020779305 3. Question: Solana Up or Down -...
down
0
solana-up-or-down-july-4-9am-et
Solana Up or Down - July 4, 9AM ET
73,568,687
73,573,358
6dc53e95e1b5111a325e46e1c441a8ab46779a82
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xa2bd372e6c7c7562c3afd8bf4d2212723863bd4de7a790c7e0d8ac229fda9ed1
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 - July 4, 12AM ET | Event: xrp-up-or-down-july-4-12am-et | Choice: up | Confidence: 0.13580409020779305 2. Question: Solana Up or Down - July 4, 1AM ET | Event: solana-up-or-down-july-4-1am-et | Choice: down | Confidence: 0.0031904773763935025 3. Question: Ethereum Up or Down -...
down
0
solana-up-or-down-july-4-10am-et
Solana Up or Down - July 4, 10AM ET
73,570,107
73,575,056
c5350543e1f91928fb75bb5fcf8808be536059ff
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x7f17cd9f456f5e3b7c070b039bca5ffe8f327fea3324b1226b2e92129db5b7e6
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 - July 4, 1AM ET | Event: solana-up-or-down-july-4-1am-et | Choice: down | Confidence: 0.0031904773763935025 2. Question: Ethereum Up or Down - July 4, 1AM ET | Event: ethereum-up-or-down-july-4-1am-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - July 4, 1A...
down
0
ethereum-up-or-down-july-4-10am-et
Ethereum Up or Down - July 4, 10AM ET
73,570,110
73,575,054
6588125640e106a2d0a4ebb8afe9f4283aa2d178
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xb7afcfdd77576a363c06bdba1cffb2a7fc686b33f9448b3b20c7025924646aa8
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 4, 1AM ET | Event: ethereum-up-or-down-july-4-1am-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - July 4, 1AM ET | Event: xrp-up-or-down-july-4-1am-et | Choice: down | Confidence: 0.20985589927703732 3. Question: Ethereum Up or Down - July 4, 2AM E...
down
0.259666
xrp-up-or-down-july-4-10am-et
XRP Up or Down - July 4, 10AM ET
73,570,112
73,571,829
3630f3e8934727111f34a81b2965de48ff2c8092
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xb87b1c650a7497c81f2358ce0ab82de5069550831125bc98fb750b44f813fbeb
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 - July 4, 1AM ET | Event: xrp-up-or-down-july-4-1am-et | Choice: down | Confidence: 0.20985589927703732 2. Question: Ethereum Up or Down - July 4, 2AM ET | Event: ethereum-up-or-down-july-4-2am-et | Choice: down | Confidence: 0.0 3. Question: Solana Up or Down - July 4, 2AM ET ...
up
0.000474
bitcoin-up-or-down-july-4-10am-et
Bitcoin Up or Down - July 4, 10AM ET
73,570,115
73,571,834
b062356a6afe363f42e467357077236ab1d4f534
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xc8e2d4275457c59a01d8037e5a269c1cb8dde3f8a65b8a4cf191e06d2f31ec35
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 4, 2AM ET | Event: ethereum-up-or-down-july-4-2am-et | Choice: down | Confidence: 0.0 2. Question: Solana Up or Down - July 4, 2AM ET | Event: solana-up-or-down-july-4-2am-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - July 4, 2AM ET | Event: xrp-...
down
0
solana-up-or-down-july-4-11am-et
Solana Up or Down - July 4, 11AM ET
73,571,839
73,576,709
15aec57109dbdd61163f48a29feedefd538cf958
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x083ff8703bd1f8acfa18a1adb1bc685caf8871be6cd5a37df44b68d57a842b14
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 - July 4, 2AM ET | Event: solana-up-or-down-july-4-2am-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - July 4, 2AM ET | Event: xrp-up-or-down-july-4-2am-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - July 4, 3AM ET | Event: ethereum-...
down
0
ethereum-up-or-down-july-4-11am-et
Ethereum Up or Down - July 4, 11AM ET
73,571,843
73,576,707
f04ab100f6ba0579aa5e3f91f5c8c0fa070ac76a
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x80cf7e3be8f11e1dcbf29a4f843a7d3a6dd22fed350f6623f95f75173e8734a7
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 - July 4, 2AM ET | Event: xrp-up-or-down-july-4-2am-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - July 4, 3AM ET | Event: ethereum-up-or-down-july-4-3am-et | Choice: down | Confidence: 0.0 3. Question: Solana Up or Down - July 4, 3AM ET | Event: solana-...
down
0
xrp-up-or-down-july-4-11am-et
XRP Up or Down - July 4, 11AM ET
73,571,848
73,576,711
e38d9b5fd55fdaf198c09c58606be8619ad0e441
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x87e042a5bbecf343012b2a33d4c474d3d35d682b2fb64c3659f965c01b28865c
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 4, 3AM ET | Event: ethereum-up-or-down-july-4-3am-et | Choice: down | Confidence: 0.0 2. Question: Solana Up or Down - July 4, 3AM ET | Event: solana-up-or-down-july-4-3am-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - July 4, 3AM ET | Event: xrp-...
down
0
bitcoin-up-or-down-july-4-11am-et
Bitcoin Up or Down - July 4, 11AM ET
73,571,854
73,576,704
4d9b2f15132f642e41aec852462e27159ed200b3
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xfe8e6d896dc9b121bedcde451aec1b08519d880a4a2479a78a9b8b202ba9034e
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 - July 4, 3AM ET | Event: solana-up-or-down-july-4-3am-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - July 4, 3AM ET | Event: xrp-up-or-down-july-4-3am-et | Choice: up | Confidence: 0.0684931506849315 3. Question: Ethereum Up or Down - July 4, 4AM ET | Eve...
up
0.35593
solana-up-or-down-july-4-12pm-et
Solana Up or Down - July 4, 12PM ET
73,573,287
73,574,731
829166a5df9972a8a65e9cd6f5fc424e71550964
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x169d6ba3014d91fb897d8a00b3bc504ecba04818608fa86cede251c9ac1ea7f0
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 - July 4, 3AM ET | Event: xrp-up-or-down-july-4-3am-et | Choice: up | Confidence: 0.0684931506849315 2. Question: Ethereum Up or Down - July 4, 4AM ET | Event: ethereum-up-or-down-july-4-4am-et | Choice: down | Confidence: 0.2721518987341772 3. Question: XRP Up or Down - July 4...
down
0
ethereum-up-or-down-july-4-12pm-et
Ethereum Up or Down - July 4, 12PM ET
73,573,289
73,578,426
5b6fc90b02a04c878fe9fc2206e00bde9fb88065
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x6a31d8cdcdd8bdc91652a5afc55daf088034d00679b6aecce462611caff66040
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 4, 4AM ET | Event: ethereum-up-or-down-july-4-4am-et | Choice: down | Confidence: 0.2721518987341772 2. Question: XRP Up or Down - July 4, 4AM ET | Event: xrp-up-or-down-july-4-4am-et | Choice: down | Confidence: 0.20704845814977973 3. Question: Bitcoin Up or Down -...
up
0.435075
xrp-up-or-down-july-4-12pm-et
XRP Up or Down - July 4, 12PM ET
73,573,291
73,574,733
92131d7e373a558d540db7ce6b175410c45250eb
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x66198177277d7b84d19a794cb61f4cad4a415772a614b49dcf4e877b08dc0e97
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 - July 4, 4AM ET | Event: xrp-up-or-down-july-4-4am-et | Choice: down | Confidence: 0.20704845814977973 2. Question: Bitcoin Up or Down - July 4, 4AM ET | Event: bitcoin-up-or-down-july-4-4am-et | Choice: down | Confidence: 0.7557496480509447 3. Question: Solana Up or Down - Ju...
down
0
bitcoin-up-or-down-july-4-12pm-et
Bitcoin Up or Down - July 4, 12PM ET
73,573,293
73,574,735
dd2024274924dfff324f077f5686028c7a2c1aee
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x648ca7d02fcd7e0ab7030d8775b76be41368a91c81064f75afc028c2e11811b0
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 - July 4, 4AM ET | Event: bitcoin-up-or-down-july-4-4am-et | Choice: down | Confidence: 0.7557496480509447 2. Question: Solana Up or Down - July 4, 4AM ET | Event: solana-up-or-down-july-4-4am-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - July 4, 5AM ET ...
down
0
ethereum-up-or-down-july-4-1pm-et
Ethereum Up or Down - July 4, 1PM ET
73,574,736
73,575,592
550faa3699c26f7a144ef5e50432a1d2768f6906
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x8f977c5124c64099e1d05845d2d5dfc8a0a0b5239ed59ff71652f16f38054c24
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 - July 4, 4AM ET | Event: solana-up-or-down-july-4-4am-et | Choice: down | Confidence: 0.0 2. Question: XRP Up or Down - July 4, 5AM ET | Event: xrp-up-or-down-july-4-5am-et | Choice: down | Confidence: 0.03000755338872485 3. Question: Bitcoin Up or Down - July 4, 5AM ET | E...
down
0
bitcoin-up-or-down-july-4-1pm-et
Bitcoin Up or Down - July 4, 1PM ET
73,574,738
73,576,175
3749c6e04a1b82af9a57e9765933871aa5844886
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x0557d5a8e935717506c72f2711b8bd0581cce671633935eee37743be05aec574
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 - July 4, 5AM ET | Event: xrp-up-or-down-july-4-5am-et | Choice: down | Confidence: 0.03000755338872485 2. Question: Bitcoin Up or Down - July 4, 5AM ET | Event: bitcoin-up-or-down-july-4-5am-et | Choice: down | Confidence: 0.053970200945200046 3. Question: Solana Up or Down - ...
down
0
solana-up-or-down-july-4-1pm-et
Solana Up or Down - July 4, 1PM ET
73,575,590
73,576,172
d8d09b55d6571a6eae52625573906990d39f01f0
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x2f70493798729925a727cb673d00a591e5a84a38f88e2b71ef0aa8cfe6403f5b
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 - July 4, 5AM ET | Event: bitcoin-up-or-down-july-4-5am-et | Choice: down | Confidence: 0.053970200945200046 2. Question: Solana Up or Down - July 4, 5AM ET | Event: solana-up-or-down-july-4-5am-et | Choice: down | Confidence: 0.060427351899358855 3. Question: Ethereum Up o...
down
0
xrp-up-or-down-july-4-1pm-et
XRP Up or Down - July 4, 1PM ET
73,575,594
73,575,884
642c26315684ba79e30caba5f106c2d8432cb4af
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x4daeb7534e9c12842c067688006dfedab9fb6625c5ed46353e5c6b11c2341855
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 - July 4, 5AM ET | Event: solana-up-or-down-july-4-5am-et | Choice: down | Confidence: 0.060427351899358855 2. Question: Ethereum Up or Down - July 4, 5AM ET | Event: ethereum-up-or-down-july-4-5am-et | Choice: down | Confidence: 0.10172144597247282 3. Question: Solana Up or...
down
0
bitcoin-up-or-down-july-4-2pm-et
Bitcoin Up or Down - July 4, 2PM ET
73,576,464
73,581,728
dfe4e10ed39b2819c15b6c5b9dc2afd3f282c7d5
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0x74746bc1255cbfef28c7a5a8b5799b74c30a795c753582f618c29b2ef7fee23f
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 4, 5AM ET | Event: ethereum-up-or-down-july-4-5am-et | Choice: down | Confidence: 0.10172144597247282 2. Question: Solana Up or Down - July 4, 7AM ET | Event: solana-up-or-down-july-4-7am-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - July 4,...
up
0.004413
solana-up-or-down-july-4-2pm-et
Solana Up or Down - July 4, 2PM ET
73,576,712
73,577,856
fcae2133acff49421b9badadc8c25ca1dd9c01dd
0x212e753e064d3e89905cd61ce975a6e7cdfb99d2
0xf807cdf0b6781ec27b965e93a0acf141a3220463a149aa43fa7dabc8609743ab
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 - July 4, 7AM ET | Event: solana-up-or-down-july-4-7am-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - July 4, 7AM ET | Event: ethereum-up-or-down-july-4-7am-et | Choice: down | Confidence: 0.0 3. Question: XRP Up or Down - July 4, 7AM ET | Event: xrp-...
down
0
ethereum-up-or-down-july-4-2pm-et
Ethereum Up or Down - July 4, 2PM ET
73,576,714
73,581,731
23470914ce548b5bfabc9b66aa582be8b3f9322b
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0x1e4f51ff4728d1948e37cf79651b58259d11182c94a4144018d9a9ff25b617f4
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 Amanda Anisimova win Wimbledon 2025? Event: 2025-wimbledon-winner-w Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
no
1
2025-wimbledon-winner-w
Will Amanda Anisimova win Wimbledon 2025?
73,909,854
73,909,854
a4e5bd2a9e5bde6f2547230c9f19126b5c96f43b
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0x58e6dabcbe0b32490a7280dfe1c3cce28f10aa76dbae3740c2863742f5fc4679
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 Amanda Anisimova win Wimbledon 2025? | Event: 2025-wimbledon-winner-w | Choice: no | Confidence: 1.0 Target market: Question: Will Jannik Sinner win Wimbledon 2025? Event: 2025-wimbledon-winner-m Predict the user's choice and confidence for the target market. Output strict JSON: {"choi...
yes
1
2025-wimbledon-winner-m
Will Jannik Sinner win Wimbledon 2025?
75,081,759
75,081,759
60782e0913e86a25cb3d24534878d1d73263dc27
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0xc45f6f5fcbc814bdcaf46b16eccfec63cef615cc364d75ad3f49f74e0afd3615
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 Amanda Anisimova win Wimbledon 2025? | Event: 2025-wimbledon-winner-w | Choice: no | Confidence: 1.0 2. Question: Will Jannik Sinner win Wimbledon 2025? | Event: 2025-wimbledon-winner-m | Choice: yes | Confidence: 1.0 Target market: Question: Will Carlos Alcaraz win Wimbledon 2025? Even...
no
1
2025-wimbledon-winner-m
Will Carlos Alcaraz win Wimbledon 2025?
75,081,759
75,081,759
f65f7cf15e6f58461cbbf4cf8607cfaf837b3115
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0xee63068ca7287fc71e51014d223b8d82cbef04bbf0053bda2bb54e117fcf3326
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 Amanda Anisimova win Wimbledon 2025? | Event: 2025-wimbledon-winner-w | Choice: no | Confidence: 1.0 2. Question: Will Jannik Sinner win Wimbledon 2025? | Event: 2025-wimbledon-winner-m | Choice: yes | Confidence: 1.0 3. Question: Will Carlos Alcaraz win Wimbledon 2025? | Event: 2025-wim...
no
1
lal-gir-ray-2025-08-15
Will Girona win on 2025-08-15?
75,304,968
75,304,968
85e394757a4512a68c1c0cafaf60b47aa26774d1
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0x5adf02e46fa31e895d62f931978ffe3b111cb267437244788a4a6f7b743d8d9a
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 Amanda Anisimova win Wimbledon 2025? | Event: 2025-wimbledon-winner-w | Choice: no | Confidence: 1.0 2. Question: Will Jannik Sinner win Wimbledon 2025? | Event: 2025-wimbledon-winner-m | Choice: yes | Confidence: 1.0 3. Question: Will Carlos Alcaraz win Wimbledon 2025? | Event: 2025-wim...
no
1
cs2-blast-open-london-2025
Will Vitality win the BLAST Open London 2025 tournament?
76,194,576
76,194,576
cc02b285d28e4e6c5bae02a099eec0ba7ee459a6
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0x8709b3fa1f50046fd9000df7ade47a09d0c11bea8979270b24b80671f4fc9292
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 Amanda Anisimova win Wimbledon 2025? | Event: 2025-wimbledon-winner-w | Choice: no | Confidence: 1.0 2. Question: Will Jannik Sinner win Wimbledon 2025? | Event: 2025-wimbledon-winner-m | Choice: yes | Confidence: 1.0 3. Question: Will Carlos Alcaraz win Wimbledon 2025? | Event: 2025-wim...
yes
1
fl1-ogc-nan-2025-09-13
Will OGC Nice win on 2025-09-13?
76,428,976
76,428,976
ed663924cb4c31d7c37defbf2946e0e2a941c9dd
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0x315bc10cea2926ed706b38c329481c7c7cb341e8aff417019c736347734c5c8f
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 Amanda Anisimova win Wimbledon 2025? | Event: 2025-wimbledon-winner-w | Choice: no | Confidence: 1.0 2. Question: Will Jannik Sinner win Wimbledon 2025? | Event: 2025-wimbledon-winner-m | Choice: yes | Confidence: 1.0 3. Question: Will Carlos Alcaraz win Wimbledon 2025? | Event: 2025-wim...
yes
1
lal-bar-val-2025-09-14
Will Barcelona win on 2025-09-14?
76,468,039
76,468,039
f2c2ac098bb38c798bab70a057ab53c6c5ae9eb7
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0x774c912a1bc4ac49a2416bcd09ffd45e89021f55f82277af6fc6faf765c6616a
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 Amanda Anisimova win Wimbledon 2025? | Event: 2025-wimbledon-winner-w | Choice: no | Confidence: 1.0 2. Question: Will Jannik Sinner win Wimbledon 2025? | Event: 2025-wimbledon-winner-m | Choice: yes | Confidence: 1.0 3. Question: Will Carlos Alcaraz win Wimbledon 2025? | Event: 2025-wim...
yes
1
epl-mac-mun-2025-09-14
Will Manchester City win on 2025-09-14?
76,468,039
76,468,039
199ad997bff47c0dfa72053375c348b22dab7e2b
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0xf50dc9505053942de38ac0aa8a09ea13caa105d64356f21c06c474b67d16caed
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 Amanda Anisimova win Wimbledon 2025? | Event: 2025-wimbledon-winner-w | Choice: no | Confidence: 1.0 2. Question: Will Jannik Sinner win Wimbledon 2025? | Event: 2025-wimbledon-winner-m | Choice: yes | Confidence: 1.0 3. Question: Will Carlos Alcaraz win Wimbledon 2025? | Event: 2025-wim...
yes
1
fl1-sbr-pfc-2025-09-14
Will Paris FC win on 2025-09-14?
76,468,039
76,468,039
dfa11390bda85d7a1325072811bde623879e94a5
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0x28a2c341bde029fb59f598c802bbd04763f634aa5ec642a7b016dfaee0000582
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 Amanda Anisimova win Wimbledon 2025? | Event: 2025-wimbledon-winner-w | Choice: no | Confidence: 1.0 2. Question: Will Jannik Sinner win Wimbledon 2025? | Event: 2025-wimbledon-winner-m | Choice: yes | Confidence: 1.0 3. Question: Will Carlos Alcaraz win Wimbledon 2025? | Event: 2025-wim...
yes
1
ucl-mac-nap-2025-09-18
Will Manchester City win on 2025-09-18?
76,644,011
76,644,011
0542baf5719c089fc272281085aef28727004fa6
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0x938c588686381deb39f3b556914db2cb034a84ed36631b58d6b80b1dbeb1f904
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 Amanda Anisimova win Wimbledon 2025? | Event: 2025-wimbledon-winner-w | Choice: no | Confidence: 1.0 2. Question: Will Jannik Sinner win Wimbledon 2025? | Event: 2025-wimbledon-winner-m | Choice: yes | Confidence: 1.0 3. Question: Will Carlos Alcaraz win Wimbledon 2025? | Event: 2025-wim...
yes
1
ucl-bru-mon-2025-09-18
Will Club Brugge win on 2025-09-18?
76,644,011
76,644,011
b0c17544f3e56136586cf8903161fea5d1e97bc0
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0x5044799805e335c7353a583ff3b40af42b241eb3f813dd6fdcfa00d891db2d97
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 Amanda Anisimova win Wimbledon 2025? | Event: 2025-wimbledon-winner-w | Choice: no | Confidence: 1.0 2. Question: Will Jannik Sinner win Wimbledon 2025? | Event: 2025-wimbledon-winner-m | Choice: yes | Confidence: 1.0 3. Question: Will Carlos Alcaraz win Wimbledon 2025? | Event: 2025-wim...
no
1
epl-wol-lee-2025-09-20
Will Wolves win on 2025-09-20?
76,695,127
76,695,127
2f99aec037a359be9c42e6536846d7457f853638
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0x1be581a1ad8cd816ba97bd46dfdbb776d0b616e92be1c6399232e41b892f2c1e
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 Amanda Anisimova win Wimbledon 2025? | Event: 2025-wimbledon-winner-w | Choice: no | Confidence: 1.0 2. Question: Will Jannik Sinner win Wimbledon 2025? | Event: 2025-wimbledon-winner-m | Choice: yes | Confidence: 1.0 3. Question: Will Carlos Alcaraz win Wimbledon 2025? | Event: 2025-wim...
no
1
ucl-aja-int-2025-09-17
Will Inter win on 2025-09-17?
76,756,488
76,756,488
404c0a1cdc2187cfa234b0b7db5b10498136d5d0
0x2131a32e8dbb7199480e710abe94983c3044aaf2
0x26721a3228876ab9a5f4e38bf20dffd3917c983ec3082256be0cae1b0b461f64
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 Amanda Anisimova win Wimbledon 2025? | Event: 2025-wimbledon-winner-w | Choice: no | Confidence: 1.0 2. Question: Will Jannik Sinner win Wimbledon 2025? | Event: 2025-wimbledon-winner-m | Choice: yes | Confidence: 1.0 3. Question: Will Carlos Alcaraz win Wimbledon 2025? | Event: 2025-wim...
yes
1
fl1-aja-tou-2025-09-21
Will Toulouse FC win on 2025-09-21?
76,756,488
76,756,488
4592c45cc93a374293473facd17ffad0f4cff0c5
0x2139ff880571f8223a56544ca433756b8d014b34
0x04eb10e43e71d2e4bbc2a22b2d7b841f10330e64d637b289d847c32b73386936
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 Trump say "Tip" during Pennsylvania town hall on October 20? Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
no
0
what-will-trump-say-during-pennsylvania-town-hall-oct-20
Will Trump say "Tip" during Pennsylvania town hall on October 20?
63,287,996
63,287,996
ab8786b040c5057e411b54f3eab118ba36f861a6
0x2139ff880571f8223a56544ca433756b8d014b34
0x435e3504f3d58c6aef10af6dbfeab77fa81b7aafb91bd08d8ceccf972a5b5040
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 Trump say "Tip" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 | Choice: no | Confidence: 0.0 Target market: Question: Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20? Event: what-will-trump-sa...
no
0
what-will-trump-say-during-pennsylvania-town-hall-oct-20
Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20?
63,287,996
63,287,996
54f5acb1f276a6058e5c0791bae14e066e86c427
0x2139ff880571f8223a56544ca433756b8d014b34
0x6eed46208d85d71d0500a5a15928e26c4efd0a1279cb26c5ce76cfaf54f32505
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 Trump say "Tip" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 | Choice: no | Confidence: 0.0 2. Question: Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pe...
no
0
what-will-trump-say-during-pennsylvania-town-hall-oct-20
Will Trump say "Trans" during Pennsylvania town hall on October 20?
63,287,996
63,287,996
7be0e0223c18aa6c5225bf75967368e12f9a2d03
0x2139ff880571f8223a56544ca433756b8d014b34
0x795c371b42686bca1b8904fff28e410bf16d0a7d2f266f61a8bc6ab8e618a5f4
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 Trump say "Tip" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 | Choice: no | Confidence: 0.0 2. Question: Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pe...
no
0
what-will-trump-say-during-pennsylvania-town-hall-oct-20
Will Trump say "Get out and vote" during Pennsylvania town hall on October 20?
63,287,996
63,287,996
df865716ceed0bee938a3712162db7c87e6e0dea
0x2139ff880571f8223a56544ca433756b8d014b34
0x9c60eacd7b2614ddb825ea43622efe77615e794ccdf540189184633c173d55f7
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 Trump say "Tip" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 | Choice: no | Confidence: 0.0 2. Question: Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pe...
no
0
what-will-trump-say-during-north-carolina-rally-oct-22
Will Trump say "Tax" 15 or more times during North Carolina rally October 22?
63,371,637
63,371,637
843365814f4375eeeb7056dd4f8bfe958d99bd92
0x2139ff880571f8223a56544ca433756b8d014b34
0xc22709cc42b99542cfd579f20b86e836e6246660fc4d4d3be95814ad30f56e9b
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 Trump say "Tip" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 | Choice: no | Confidence: 0.0 2. Question: Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pe...
no
0
what-will-trump-say-during-north-carolina-rally-oct-22
Will Trump say "China" 10 or more times during North Carolina rally October 22?
63,371,637
63,376,841
c56a56a0c3eb105276cecc909aaee4b27cce37a7
0x2139ff880571f8223a56544ca433756b8d014b34
0xa608d565e6f533a6b2b61c6de07c37c2d00d4b326cab194da4b7e5b7fa6c641d
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 Trump say "Tip" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 | Choice: no | Confidence: 0.0 2. Question: Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pe...
yes
0.000067
how-long-will-the-trump-x-rogan-podcast-be
Will Trump x Rogan interview last 150-180 min?
63,491,037
63,491,037
982921d18bd4015442cf91a8952d99636a764d40
0x2139ff880571f8223a56544ca433756b8d014b34
0x88e093db8bc1852e3504f92af1ed93e7c7d3fdb04b6d4c0678225cb109d7fa92
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 Trump say "Tip" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 | Choice: no | Confidence: 0.0 2. Question: Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pe...
yes
0.022764
how-long-will-the-trump-x-rogan-podcast-be
Will Trump x Rogan interview last 180 min or more?
63,491,037
63,517,458
47f521e4aa5dbdce4e8969cf747381a5528384e6
0x2139ff880571f8223a56544ca433756b8d014b34
0x2bd18efe785cf24002cfa38a37413739062aa370499b3a5831d202e64596c426
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 Trump say "Tip" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 | Choice: no | Confidence: 0.0 2. Question: Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pe...
yes
0.605835
ballon-dor-winner
Will Rodri win the Ballon d’Or?
63,605,294
63,613,909
bb2807a495e0bee7bfe61c00837df345930d7fae
0x2139ff880571f8223a56544ca433756b8d014b34
0x95a71c4f8e508de86cd3a4a5d790385c04c73ee28e603e0852645d6144901ac6
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 Trump say "Tip" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 | Choice: no | Confidence: 0.0 2. Question: Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pe...
yes
0.615002
ballon-dor-winner
Will Vinicius Jr win the Ballon D’Or?
63,605,294
63,614,474
d10b85864af49c406931b34f1f4e45a1c07d16c5
0x2139ff880571f8223a56544ca433756b8d014b34
0x8937d16913d4561dac40d38fcc5e49ab162bf057c3f21e1b4e85770db7871909
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 Trump say "Tip" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 | Choice: no | Confidence: 0.0 2. Question: Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pe...
no
0
what-will-trump-say-during-georgia-rally-oct-28
Will Trump say "Vote" 15 or more times during Georgia rally on October 28?
63,612,785
63,616,513
79613184bac820f515df862ca41aaafaae400408
0x2139ff880571f8223a56544ca433756b8d014b34
0xa67333de9efa77277fd6c80375e99611a40715bd614f7b771843a18d93cb07bc
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 Trump say "Tip" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 | Choice: no | Confidence: 0.0 2. Question: Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pe...
yes
1
ballon-dor-winner
Will Lamine Yamal win the Ballon d’Or?
63,613,306
63,613,306
f0b728a87a119b4305fd4f7ac78a573c46c22041
0x2139ff880571f8223a56544ca433756b8d014b34
0x65c611f2651f635f5e7a2c577fa377882489c4936cf6cfcc9f5c438664ffc50d
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 Trump say "Tip" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 | Choice: no | Confidence: 0.0 2. Question: Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pe...
no
0
what-will-trump-say-during-greensboro-nc-rally
Will Trump say "vote" 25 or more during Greensboro, NC rally?
63,817,846
63,817,846
f17bd6316b70295c0859eace9d3209d8a7245311
0x2139ff880571f8223a56544ca433756b8d014b34
0x147334c45787b41b3feb7d2593f7dea8ee8e9663eb00e855e8d5d464ee43dd7f
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 Trump say "Tip" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pennsylvania-town-hall-oct-20 | Choice: no | Confidence: 0.0 2. Question: Will Trump say "Drill baby drill" during Pennsylvania town hall on October 20? | Event: what-will-trump-say-during-pe...
no
0
what-will-trump-say-during-virginia-rally
Will Trump say "vote" 30 or more times during Virginia rally on Nov 2?
63,817,846
63,818,763