Clarividex

Clarividex

The Clairvoyant Index โ€” AI Stock Prediction Analysis

Market Intelligence, AI Engineered

8 algorithms. 2,000 Monte Carlo simulations. Bayesian inference, fat-tail modeling, and multi-timeframe trend analysis โ€” fused into one calibrated probability, powered by the Clarividex engine.

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Data Sources
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Data Points
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Prediction Algorithms
2,000
Monte Carlo Simulations
Include a stock ticker (AAPL, TSLA) or company name for best results
Quick examples
NYSE/NASDAQ: 9:30 AM โ€“ 4:00 PM ET
Short-term & long-term predictionsData freshness varies with market hours

How It Works

Our prediction engine combines real-time data aggregation with AI analysis to generate probability-based forecasts.

1

Enter Your Question

Ask about any US stock prediction. Include ticker, target price, or timeframe for best results.

"Will NVDA reach $180 by March 2026?"
2

Data Aggregation

We fetch real-time data from 12+ sources including Yahoo Finance, SEC filings, news, and social media.

  • Stock prices & volume
  • News sentiment
  • Technical indicators
  • Options flow
3

AI Analysis + Streaming

Our AI engine processes 250+ data points via SSE, streaming each analysis stage to you in real time.

  • Technical: 25%
  • News: 20%
  • Options: 15%
  • Market: 15%
  • Analyst: 15%
  • Social: 10%
4

Guardrailed Prediction

Output guardrails enforce probability bounds (15-85%), redact PII, and flag advice language before delivery.

  • Probability clamped 15-85%
  • PII redaction
  • Advice detection
  • Risk assessment

Prediction Methodology

Weighted Scoring Model

Each data source contributes to the final probability based on its reliability and relevance.

Multi-Source Validation

Cross-references data points across sources to identify consensus and divergence.

Timeframe Adjustment

Probabilities are calibrated based on the prediction timeframe (day, week, month).

Confidence Calculation

Confidence reflects data agreement, source count, and signal clarity.

V2 Enhancements

Production-Grade AI Infrastructure

8-Model Ensemble
Monte Carlo, Bayesian, trend analysis & more
Output Guardrails
PII redaction, advice detection
RAG Chatbot
Doc-grounded follow-up Q&A
Prompt Versioning
YAML-based, A/B testable
Eval Suite
17 test cases, 100% pass rate
Singleton Caching
Optimized inference pipeline

Architecture

Three-layer pipeline: ingest real-time market data, run it through an 8-model AI ensemble, and deliver guardrailed predictions with full transparency.

Layer 1

Data Ingestion

Real-time market data pipeline

12+ Live Sources
Yahoo Finance, SEC EDGAR, Finviz, VIX, Fear & Greed, options flow, Google News, Reddit
SSE Streaming
Server-Sent Events pipe each analysis stage to the client in real time
Data Quality Scoring
Every source scored for reliability; cross-validated before aggregation
Layer 2

Intelligence Engine

8-model probability matrix with hot-swappable AI backbone

Swappable AI Core
Currently Gemini 2.0 Flash with versioned YAML prompts. Architecture supports hot-swapping to Claude Opus 4.6, GPT-4o, or any frontier model for deeper reasoning without changing the pipeline
Probability Matrix
8 independent models (Monte Carlo, Bayesian inference, fat-tail distribution, technical scoring, sentiment regression, historical pattern matching, options flow analysis, multi-timeframe trend) each output a probability. Weighted ensemble combines them via confidence-adjusted averaging into a single calibrated score (15โ€“85%)
2,000 Monte Carlo Simulations
Stochastic price path simulations using historical volatility and drift. Bayesian priors update in real time as new data arrives, adjusting the posterior probability distribution before final scoring
Layer 3

Production Safety

Guardrails and quality assurance

Output Guardrails
PII redaction, advice-language detection, probability clamping (15-85%)
RAG Chat Assistant
ChromaDB + LangChain for document-grounded follow-up Q&A
Evaluation Suite
17 golden test cases, 100% pass rate, automated regression testing

Data Sources

We aggregate data from 12+ trusted sources including SEC EDGAR, options flow, and VIX โ€” each scored for reliability.

Yahoo Finance
90%
SEC EDGAR
95%
Finviz
85%
Google News
80%
Reddit
70%
VIX Index
90%
Fear & Greed
80%
Options Data
85%
Treasury Yields
95%
Sector ETFs
90%
Technical Analysis
85%
Clarividex AI
75%

Why Use Us Instead of AI Agents?

Generic AI agents can search the web, but they can't give you what we provide. See the difference:

Generic AI Agent
"Tesla stock could go up or down depending on various factors like market conditions, earnings reports, and investor sentiment. I cannot provide specific financial advice or predictions. Please consult a financial advisor."
No specific probability
No real-time data
No technical analysis
Clarividex
62% Probability
RSI (14):34.2 (Oversold)
MACD:+2.4 (Bullish)
News Sentiment:+0.32
Put/Call Ratio:0.65
Based on 287 data points from 13 sources
Quantified probability score
Live technical indicators
Full transparency

Feature Comparison

FeatureAI AgentsClarividex
Probability Score"Could go up or down"62% with confidence level
Real-time RSI, MACD
Live Options Flow (Put/Call)
VIX & Fear/Greed Index
12+ Data SourcesRandom web resultsSEC, Yahoo, Finviz, etc.
Consistent MethodologyVaries each timeSame weighted scoring
Transparent Reasoning
Impact News AnalysisGeneral searchCrashes, lawsuits, recalls
Real-Time Streaming
Output Guardrails

Ready to See the Future?

Ask Clarividex about any US stock. No signup required.

Clarividex
Not financial advice. For informational purposes only.
ยฉ 2026 Clarividex