StockTwits
News & Sentiment alternative data provider · 2 listed datasets
Datasets from StockTwits (2)
StockTwits is a social media platform for investors and traders, built around real-time discussion of stocks, ETFs, cryptocurrencies, and other markets. Founded in 2008 by Howard Lindzon and Soren Macbeth, it introduced the "cashtag", a dollar sign prefixed to a ticker symbol, as a way to index market conversations, a convention later adopted by Twitter itself.[2]
The platform claims over 10 million users and provides live quotes, sentiment tracking, trending-ticker rankings, news, and an earnings calendar.[1] Its aggregated retail sentiment data is a recognized alternative dataset, sold through APIs to institutional clients; as early as 2013, roughly half of the company's revenue came from financial data sold to clients including Bloomberg and Google.[2]
What It Does
StockTwits operates as both a consumer social network and a data business. Users post ideas tagged with cashtags, follow ticker streams, vote in polls, and browse trending tickers and community discussions; the company overlays structured sentiment on these messages, publishing tools such as the Stocktwits Sentiment Index alongside price charts.[1][2]
For institutional and developer audiences, StockTwits exposes its content and sentiment through open APIs that have been integrated into third-party platforms such as TradingView and Hootsuite since around 2012.[2] In July 2024 the platform announced a partnership with Quartr to distribute financial content including live and recorded earnings calls and company filings via one of Quartr's largest API deals to date.[2]
Data And Methodology
The core dataset is user-generated message flow organized by cashtag, from which the company derives measures of retail investor sentiment, message volume, watchers, and trending status per symbol. Wikipedia notes that StockTwits has packaged this accumulated user-generated content into data products for investors, monetized through APIs and premium subscriptions for advanced analytics.[2]
Because the underlying population skews toward self-selected retail traders, the sentiment series is generally treated as a measure of retail positioning and attention rather than institutional consensus.[2]
History
The concept originated in a 2008 blog post in which Lindzon argued Twitter was well suited to markets. Launched as a Twitter application using its API, StockTwits became a standalone network; it won the first Shorty Award in the finance category in 2009, was listed among Time's "50 best websites" in 2010, and was named one of Fast Company's ten most innovative companies in finance in 2012.[2]
By June 2013 the company had raised USD 8.6 million in venture capital without yet turning a profit. Ian Rosen became CEO in July 2016 as Lindzon moved to executive chairman, and the company acquired investing discovery app SparkFin in January 2017. Community "Rooms" launched in August 2018, followed by subscription-based Premium Rooms in October 2018.[2]
In December 2021, StockTwits raised USD 30 million at a USD 210 million valuation and announced expansion into India through a partnership with Times Bridge, the venture arm of the Times Group. It launched crypto trading in February 2022 and equities trading in July 2022. The company exited brokerage services by selling its TradeApp accounts to Public.com in 2024, when co-founder Lindzon returned as CEO, with Shiv Sharma serving as president and COO.[2]
Products
Current consumer features include ticker streams, sentiment tagging on posts, trending-ticker summaries with AI-generated narrative explanations, market news produced under the Stocktwits brand, an earnings calendar, prediction-market integrations such as Polymarket embeds, and a connection that surfaces real-time sentiment and news inside ChatGPT.[1]
Monetization spans advertising, premium subscriptions that remove ads and add analytics, and business-to-business data licensing through its developer APIs.[1][2]
Buyers And Use Cases
Institutional consumers of StockTwits data have historically included major financial data platforms; Bloomberg and Google were named as data clients in a 2013 profile.[2] Quantitative investors use the message-level sentiment and volume series to gauge retail attention, crowding, and event reactions around individual tickers.[2]
Registered users grew from about 230,000 active members in 2013 to three million by 2020, according to figures cited by Wikipedia, and the infobox lists more than eight million registered users overall.[2]
Landscape
StockTwits sits alongside Reddit's r/wallstreetbets and X/Twitter finance communities as a primary venue for retail investor conversation. Its branded sentiment data competes with other social-media-derived datasets such as those built on Twitter/X activity by providers including Social Alpha, as well as with forum-scraped retail sentiment products.
More datasets from StockTwits
StockTwits lists 2 datasets on this encyclopedia. The most representative listings:
More about News & Sentiment
News & Sentiment is one of the signal families covered by The Alternative Data Encyclopedia, with 38 providers and 172 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.
Further reading
- What is alternative data?Alternative data in investment research: what the term covers, how it differs from data format, and why provenance, timing, access and validation matter.
- News and sentiment analyticsTurning text into tradable signal: NLP pipelines behind news sentiment scores, entity resolution, event extraction, latency economics, and why most sentiment alpha lives in the details.
- Alternative data for investingHow funds turn alternative data into an investment edge: signal families, evaluation, backtesting, compliance and the build-vs-buy decision, mapped to the datasets and providers indexed on this encyclopedia.