AltIndex

Collects and processes unconventional datasets including credit card transactions, foot traffic patterns, job postings, and shipping data to identify market signals. Applies machine learning to normalize and analyze these disparate data sources into actionable insights.

Generates real-time sentiment scores for companies based on alternative data signals. Tracks shifts in fundamental business health indicators derived from unconventional sources before they appear in traditional financial statements.

Continuously monitors alternative data sources and updates sentiment scores and signals in real time. Provides alerts or dashboards showing current state of alternative data metrics without waiting for traditional financial updates.

Identifies companies facing disruption risk or experiencing competitive threats based on alternative data patterns. Detects when business fundamentals are deteriorating before traditional financial metrics show decline.

Presents alternative data signals and sentiment scores through a clean, intuitive interface with charts, trends, and comparative visualizations. Makes complex alternative data accessible and easy to interpret.

Identifies emerging sector trends and rotation opportunities by analyzing alternative data patterns across multiple companies within industries. Detects shifts in consumer behavior, hiring, and economic activity that signal sector outperformance before consensus recognition.

Analyzes foot traffic data from physical locations to assess retail health, consumer spending patterns, and store performance. Provides insights into which retailers and locations are gaining or losing customer engagement.

Monitors job postings and hiring activity to detect company expansion, contraction, or strategic shifts. Identifies which companies are aggressively hiring, reducing headcount, or shifting focus based on job posting patterns.

Analyzes shipping and logistics data to infer product demand, supply chain health, and distribution patterns. Provides visibility into actual goods movement that precedes financial reporting.

Processes aggregated credit card transaction data to track consumer spending patterns, brand loyalty, and purchasing trends. Reveals real-time consumer behavior without waiting for quarterly earnings reports.

Provides free-tier access to alternative data concepts and basic sentiment signals. Allows users to explore whether non-traditional data sources align with their investment thesis before committing to premium subscriptions.

Compares alternative data signals across multiple companies within the same sector or peer group. Identifies relative strength and weakness based on unconventional metrics rather than traditional financial ratios.

Provides historical backtests of alternative data signals to show how they would have performed in past periods. Demonstrates predictive power of signals but with caveats about future performance.