Structured market prediction extracted from social analysis, normalized by AI, enriched with validation metrics, analyst reliability, live position tracking and source-level evidence.
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Entry, target and invalidation logic
The original analyst prediction is converted into a structured intelligence object with price mentions, normalized direction, target distance, invalidation distance and risk/reward context.
AI quality scoring
Each signal is scored for clarity, accuracy, actionability and overall usefulness before it contributes to intelligence metrics.
Quality intelligence locked
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What happened after publication?
The platform tracks price movement after publication and records outcome, runup, drawdown and resolution metadata.
Who generated this prediction?
Source, summary and reference
Why Pure Bitcoin Mining Barely Works Anymore The Core Scientific numbers that show how hard pure Bitcoin mining has become Core Scientific's Q2 tells the story of an industry in transition. Of its $164.2 million in total revenue, $136.7 million, about 83%, came from AI and high density colocation. Bitcoin self mining brought in just $21.5 million, while the cost of that mining ran $33.7 million, meaning the company spent roughly $12.2 million more mining Bitcoin than the mining generated. It's a stark look at how hard it's become to be a pure Bitcoin miner, especially when prices are depressed. #Bitcoin #Mining #CoreScientific #Crypto #AI
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Scoring and consensus eligibility
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