Heckyl
News & Sentiment alternative data provider · 1 listed dataset
Datasets from Heckyl (1)
Heckyl is an Indian financial data and analytics company that builds real-time news analytics, sentiment analysis and market surveillance platforms for investors, traders and financial institutions. Its flagship Find News product combines streaming news from a claimed base of over 1.5 million data sources with an NLP-based sentiment engine that gauges the impact of news on stock prices.[1]
Headquartered in Thane, Maharashtra, in the Mumbai metropolitan area, Heckyl serves brokerages and trading firms, with testimonials on its website from executives of Indian brokers including Motilal Oswal Securities, India Infoline and Angel Broking.[1][2] Press coverage has grouped Heckyl with vendors such as RavenPack and Dataminr as providers of geopolitical risk and event data for fund management.[3]
What It Does
The company describes its platforms as helping businesses understand the past, analyze the present and gain insight into the future through real-time news analysis, market analysis, sentiment analysis and predictive analytics.[2] Its technology stack includes a low-latency market feed handler for tick-by-tick exchange data alongside its news processing engine.[1]
Data And Methodology
Heckyl states it simultaneously gathers data from hundreds of thousands of sources worldwide, covering more than 35,000 companies across seven-plus geographies.[1] Related articles are grouped using entity recognition techniques and mathematical algorithms in a news clustering process, and sentiment is derived with NLP models operating in real time.[1] The company also reports processing billions of search combinations for company fundamentals.[1]
Products
The product suite comprises Find News for real-time news streaming, sentiment analysis and market impact tracking; FnO Analytics for options chain analysis and strategy building; Radar for market surveillance, pattern detection and compliance monitoring; an integrated Trading Platform; and Technical & Fundamental Analytics combining indicators, ratios and company analysis.[1][2] Demo accounts and trial periods are offered via enquiry.[2]
Buyers And Use Cases
Primary buyers are securities brokers, trading desks and research teams. The website carries endorsements citing deployment of Heckyl-powered news and price analytics inside brokers' integrated trading platforms, including Angel Broking's introduction of the Find product to retail customers and India Infoline's partnership for trader-facing analytics.[1][2] The company claims more than 50,000 active users across its platforms.[2]
Landscape
Heckyl operates in the news analytics and market data segment, positioned by trade press among geopolitical risk data providers moving from intelligence applications into fund management alongside RavenPack, Causality Link and Dataminr.[3] Within the alternative data ecosystem it functions primarily as a news sentiment and embedded analytics vendor rather than a raw dataset seller.
More datasets from Heckyl
Heckyl lists 1 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.