Top 5 Data Resources for Training AI Models for Stock Market Analysis

AI is transforming how traders analyze the stock market—scanning massive volumes of data to uncover patterns, trends, and opportunities that might otherwise go unnoticed. But for these models to deliver real value, they must be trained on clean, high-frequency data. Below, we spotlight five major vendors supplying the essential training datasets that power today’s AI-driven stock market analysis.

FirstRate Data

FirstRate Data is a broad-based financial data vendor with offerings across multiple asset types, including stocks, ETFs, FX, cryptocurrencies, indices, futures, and options. For stocks and ETFs, data is available in both split-only and split and dividend-adjusted formats, which contrasts with many generic vendors that only offer split-only adjusted data. Dividend-adjusted data can be essential if the AI training model is trying to explain small (<3 %) price moves, since the dividend payment can result in a 1-5% stock move.

Intraday resolutions down to 1-minute bars are offered, although the option data is only available at a daily interval.

TickData.com

TickData offers the highest resolution timeframe of ‘tick’ data which is a trade-by-trade sequence. This resolution of data can be very valuable if the AI model is examining market micro-structures such as temporary imbalances between highly correlated stock tickers, or micro-spikes lasting only a few seconds.

TickData provides both trade and quote data types (most vendors focus only on providing executed trade data).  The addition of quote data can be very helpful in understanding a more complete picture of the market at any point in time, as well as providing data on illiquid stocks, which will only trade intermittently during the trading day but have regularly updated quotes from which a current market price can be inferred.

CBInsights

While many data providers focus exclusively on price data, CBInsights provides rich contextual data on companies, industries, and market trends. Funding information, acquisition data, technology trend analysis, employment trends, and customer surveys are all included in the CBInsights product offering. This type of alternative data can be very useful in augmenting market price data and providing more context for stock price changes, as well as helping the AI model infer broader trends and opportunities.

AlphaSense.com

AlphaSense focuses on unstructured data and sentiment analysis through natural language processing. The platform aggregates and processes millions of text, audio, and video documents, including earnings call transcripts, SEC filings, news reports, interviews, and stock market analyst reports.

For AI developers, AlphaSense offers a large repository of text, voice and video data to train models on financial information. All data is public domain and so can be used in the training without copyright violation.

In addition, the platform also offers proprietary data on customer, employee, and analyst sentiment.

Nasdaq Data Link (formerly Quandl)

Nasdaq Data Link is actually an aggregation of datasets for multiple ‘alternative data’ vendors. The data covers a very wide spectrum, which includes credit card spending data, geospatial data, satellite imaging data, and transportation data. These datasets are primarily focused on providing a broader industry or macroeconomic perspective. Layering this type of data on top of market data would allow the AI model to make broader macro connections between individual stocks as well as predictions of stock price behavior under differing economic conditions.