How Market Predictions Become Verified Intelligence
Tahlil Plus turns raw analyst content into structured prediction records, tracks market outcomes, validates results and builds intelligence scores across analysts, symbols and markets.
From public analysis to structured intelligence
The system is designed to make market predictions measurable. Each stage reduces ambiguity and adds structure, validation and scoring context.
Collect
Market analysis content is monitored from public analyst sources.
The system tracks analyst posts and videos, stores source metadata and prepares content for AI extraction.
Extract
AI converts raw analysis into structured prediction records.
Symbols, market, direction, target price, invalidation price, timeframe and reasoning context are extracted and normalized.
Normalize
Predictions are converted into comparable intelligence objects.
Different analyst formats are standardized into one structure so predictions can be compared across crypto, stocks and forex.
Track
Prices are monitored after publication.
The system checks market movement after the signal is published and measures return, runup, drawdown and distance to target or invalidation.
Validate
Predictions are resolved into measurable outcomes.
Signals move through validation states such as checking, pending, correct, fail or awaiting validation depending on price behavior.
Score
Analysts, symbols and markets receive intelligence scores.
Reliability, success rate, consistency, risk/reward, quality and live performance are combined into intelligence layers.
Every score has a specific role
Tahlil Plus does not rely on one generic score. Different intelligence layers measure different questions: signal quality, analyst reliability and symbol-level consensus.
Signal Quality
Measures whether the prediction is understandable, actionable, price-aware and useful enough to contribute to intelligence metrics.
Analyst Reliability
Ranks analysts by verified prediction history, success rate, consistency, average return, risk behavior and market expertise.
Symbol Intelligence
Aggregates active predictions, target consensus, directional consensus, analyst coverage and historical symbol-level success.
Predictions are tracked after publication
A prediction is not trusted simply because it was published. The system monitors what happens after publication: whether price moves toward the target, hits invalidation, remains active or becomes eligible for scoring later.
Forward Signal
Forward SignalA prediction that is still active and can be tracked against future market movement.
Checking
CheckingA signal that has been extracted and is waiting for enough price movement or validation time.
Correct
CorrectA prediction that reached its target condition before invalidation.
Fail
FailA prediction that hit invalidation or failed according to the validation rules.
Individual predictions become market-level intelligence
When multiple analysts publish active predictions on the same symbol, the system builds forward consensus and target consensus layers.
Directional market expectation
Active signals are grouped by direction and weighted by analyst credibility, signal quality and market context. This creates a symbol-level view of bullish, bearish and range pressure.
Weighted target expectation
Targets are aggregated into a weighted consensus target with confidence level, target dispersion and risk/reward context. This helps users understand not just direction, but expected destination and agreement strength.
Intelligence is not financial advice.
Tahlil Plus measures and structures public market predictions. It does not guarantee outcomes, recommend trades or replace independent research. The platform is designed to improve transparency around analyst predictions and market consensus.
See verified prediction intelligence in action.
Browse live predictions, symbol consensus, analyst profiles and ranking layers built from the methodology above.