Trust & Transparency

Built for Verifiable Market Intelligence

Tahlil Plus is designed around traceability, validation and explainability. Every intelligence layer exists to make public market predictions easier to inspect, compare and verify.

Source-linkedOutcome-awareScore-transparentNo financial advice
Trust Engine
Explainable intelligence layer
Transparent
Traceability
Source-linked
Validation
Outcome-based
Scoring
Explainable
Use
Decision support
Trust Layer Health
Source Traceability91.00
Validation Clarity88.00
Score Explainability90.00
Traceability
Source-linked
Signals connect back to public analyst content
Validation
Outcome-aware
Predictions are tracked after publication
Scoring
Explainable
Scores reflect reliability, quality and outcome behavior
Role
Data layer
Market intelligence, not financial advice
Trust Pillars

What makes the intelligence verifiable

Trust comes from structure. Tahlil Plus links signals to sources, tracks outcomes, separates active and verified predictions, and exposes the scoring logic that powers rankings.

Trust Pillar

Source-Linked Intelligence

Predictions are connected to original analyst content where available, including platform metadata, summaries and publication timestamps.

Original source reference
Analyst attribution
Post-level metadata
AI-generated summary
Trust Pillar

Outcome-Based Validation

Signals are tracked after publication and separated by validation state, live status, result status and metric eligibility.

Checking
Forward signal
Verified correct
Verified fail
Trust Pillar

Transparent Scoring

Analyst, symbol and signal scores are built from measurable intelligence layers, not anonymous black-box claims.

Reliability
Success rate
Quality score
Risk/reward context
Data Transparency

Users can inspect what the system knows

Instead of presenting unexplained signals, each prediction is shown with context: who published it, when it appeared, what price logic was extracted, whether it is still active and whether it is eligible for scoring.

Signal record
Structured prediction object
Source record
Platform, URL and post metadata
Analyst record
Reliability and history
Validation record
Outcome and metric eligibility
Transparent Fields
Signal publication time
Source platform
Analyst identity
Symbol and market
Prediction direction
Target and invalidation
Validation status
Result status
Live PnL
Quality score
Reliability score
Metric eligibility
Validation Integrity

Predictions are not all treated the same

A fresh forward-looking prediction, a pending signal and a fully verified outcome have different meanings. The platform separates them clearly so users can understand what is known and what is still being tracked.

91
Source
88
Validate
90
Explain
Validation Separation
Forward-looking

Active predictions can influence live consensus but are not final outcomes yet.

Metric-eligible

Only suitable verified results are included in analyst scoring.

Excluded from score

Some predictions are intentionally excluded until they become final or valid for metrics.

Why this matters

Trust requires separating live data from final evidence.

A live position can be profitable today and fail later. A pending signal may not have enough data yet. A verified result is historical evidence. Tahlil Plus keeps these states separate to avoid mixing active exposure with final performance.

Live position
Current open prediction state
Verified result
Final historical outcome
Metric eligibility
Whether it contributes to scoring
Governance

Clear boundaries for responsible intelligence

The platform is built as a market prediction intelligence system. It improves visibility into public predictions, but does not replace independent judgment, risk management or professional financial advice.

Governance

No financial advice

Tahlil Plus structures and validates public market predictions. It does not provide personalized investment advice or guarantee trading outcomes.

Governance

Public-source intelligence

The system is based on publicly available analyst content and converts it into structured, measurable prediction data.

Governance

Outcome uncertainty

Market outcomes remain uncertain. Validation improves transparency but does not remove market risk.

Governance

Human + AI review model

AI is used for extraction and normalization. The platform is designed around traceability, validation and measurable output quality.

Important Disclaimer

Tahlil Plus is not a trading advisor.

The platform structures, validates and ranks public market predictions for informational and research purposes. It does not guarantee accuracy, recommend trades, manage investments or provide personalized financial advice.

Purpose
Research and intelligence
Risk
Markets remain uncertain
Advice
Not personalized financial advice
Responsibility
Users must make independent decisions
Explore With Context

Inspect live predictions with source, validation and scoring context.

See how Tahlil Plus turns public market predictions into a transparent intelligence layer across analysts, symbols and markets.