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 video provides a technical analysis for MNQ1!, ES1!, and AMZN. The speaker suggests a short position on MNQ1! down to 23830.00, setting a stop loss to 23970.00. The trader also indicates they have a long position on AMZN with a target around 242.70. The analysis mentions that the current price of 10 year treasury yield is at 4.002% and it’s important to keep it below that. Also, it’s important to take into account the current high of the PPI.
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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.