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 trader is shorting 100 GOOGL contracts, specifically 185 puts expiring today. The risk-reward ratio is 2 to 1. The trader closes positions at 40%, 55%, and 77% profit using market orders due to the bid-ask spread on liquid stocks like Google. The trader would like to see ES fall to a specific level. The trader closed 50 contracts at a 40% profit, then another 25 contracts at a 55% profit, and then another 15 contracts at a 77% profit. Finally, he closes the rest of the position at a 72% profit.
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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.