Structured market prediction extracted from social analysis, normalized by AI, enriched with validation metrics, analyst reliability, live position tracking and source-level evidence.
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.
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
The analysis begins by congratulating discord members that followed his Tesla put alerts. Then, the analyst discusses NVDA calls and losses. He proceeds to analyze specific stocks and crypto. He discusses a bearish outlook, specifically as long as NVDA stays under 136.16, and he sets a price target of 130. As long as TSLA stays under 352.58, target 330. As long as SPY stays under 592, the target is 576. QQQ the target is 495 as long as the QQQ is trading below 522. Bitcoin, as long as it is below 107000, the target is 102410.
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Scoring and consensus eligibility
These fields explain whether this prediction is already verified, whether it contributes to analyst scoring, and whether it is included in symbol target consensus.