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 identifies potential targets for several instruments including TSLA, MES1!, MNQ1!, BTCUSD, ETH1!, SPX, AAPL. For TSLA a gap fill at 331.49 is seen as a first target, fail price is at 300. MES1! target is seen as 6491 and a fail price as 6300. MNQ1! target is at 23585, failure at 23400. BTCUSD targets 119397, and a fail price at 115000. ETH1! analysis predicts a bearish trend, fail bound 3500 target near 3700. SPX is predicted to be bearish, fail price 6000, target 6300. AAPL the target price is 223.5 with a fail at 200.
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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.