AltIndex

AltIndex is an alternative data provider in the News & Sentiment category^[2], listed in the open provider register. Its coverage is focused on Global^[2]. It has been operating since —^[1].

Alternative-data analytics platform producing AI-generated stock signals and company alerts.^[1]

Overview

AltIndex sells to institutional buyers — hedge funds, asset managers and quant teams — looking for news & sentiment signals with a track record they can backtest. The register lists its delivery channels as Dashboard, API^[2]. Its listings sit in the Subscription price band^[2].

Most alt-data engagements follow the same arc: a free sample, a historical backtest, a paid pilot and — if the signal survives — an enterprise license. The sections below describe what that process looks like for this kind of data, and what separates a usable product from an expensive story.

The signal

NLP scoring of news, press releases, filings, earnings-call transcripts and social posts into machine-readable tone, novelty and event signals per company. The category converts unstructured text flow into quantitative inputs that investment models can consume at scale.

Article-level records carry entity tags, relevance scores, sentiment scores and event labels (guidance changes, litigation, management departures), together with source metadata and links. Aggregation layers produce company-day sentiment, momentum and novelty series plus cross-sectional dispersion measures. Vendors increasingly ship factor-ready outputs such as controversy indices and earnings-call tone deltas.

Information reaches prices with a lag, so shifts in media tone and story novelty anticipate short-horizon returns, volatility spikes and reversal windows. Funds use sentiment momentum around earnings, controversy screens as risk overlays, and transcript-tone deterioration to flag weakening fundamentals before estimate revisions. Story-level deduplication ensures a single scoop is counted once rather than once per syndicated copy. Buyers rarely use a single alt-data source in isolation: this kind of signal is typically combined with fundamental estimates or other datasets to build a composite edge.

Collection, delivery and evaluation

Pipelines ingest licensed newswires, regulatory feeds, transcript services and social APIs, then tag entities using curated dictionaries with disambiguation by ticker and corporate hierarchy. Language models tuned for financial tone score each item; established vendors publish dozens of sentiment-related fields per entity and cover a dozen or more languages. Point-in-time discipline is central: timestamps reflect publication time, and dictionaries and models are versioned so backtests remain reproducible.

According to the register, AltIndex makes its data available via Dashboard, API^[2]; delivery ergonomics matter, and buyers typically start with an API sample and move to bulk delivery (S3, Snowflake or Parquet) once a signal is validated. Before licensing data from AltIndex, a fund's data-sourcing team will typically check: history depth and survivorship, point-in-time correctness, coverage (the register lists Global)^[2], entity resolution to tickers or companies, and the compliance story behind collection. A practical sequence: request a free sample with a data dictionary, reconstruct a known historical window, and only then discuss licensing terms.

Sentiment scores are model-dependent and unstable around sarcasm, hedging and translated text. Coverage volume scales with market capitalization, so unnormalized activity proxies company size rather than information. Clustering errors double-count events, and silent vendor model upgrades can rewrite historical values.

Who uses it

Quantitative equity funds consume sentiment and novelty scores as model features; event-driven desks monitor controversy and novelty alerts around catalysts. Risk teams apply negative-news screening to portfolios and counterparty surveillance.

Questions to ask AltIndex

Which sources are licensed versus scraped, and what happens to continuity when a license lapses? What is feed latency from publication to delivered score? How do you disambiguate entities with common names and complex hierarchies? Are historical scores recomputed when models change, or shipped point-in-time? How long is the clean backtest history across asset classes?

History and landscape

RavenPack began scoring financial news for funds in the early 2000s, and Paul Tetlock's 2007 Journal of Finance study linking media pessimism to subsequent returns provided the academic anchor for the field. MarketPsych has produced point-in-time financial sentiment data since 2004 and co-authored much of the underlying research. The category has since extended from equities to credit, FX, commodities and crypto, and now often ships as annotation layers for training large language models.

Within that lineage, AltIndex is one of 9 providers listed in the News & Sentiment category of the register; comparing their coverage, history depth and delivery is the fastest way to map the competitive landscape.

Compliance and legal considerations

Redistributing article text requires publisher agreements, while derived scores are generally safer to ship. Social-media ingestion adds platform terms-of-service constraints, and text-and-data-mining exceptions in EU copyright law do not override contractual restrictions.

Complementary signals

Buyers of this signal typically combine it with these adjacent categories — cross-coverage lowers single-source risk and widens the alpha surface.

Further reading

More about News & Sentiment

News & Sentiment is one of the signal families covered by The Alternative Data Encyclopedia, with 38 providers and 146 datasets listed in the register. For how the signal is generated, its caveats and the compliance considerations — and the full provider list — see the category article.