DataYes

From AltData.wiki, The Alternative Data Encyclopedia

DataYes is a Chinese financial-technology and data company that develops investment-research, quantitative-analysis, portfolio, and risk-management tools. The company, also presented in Chinese as Tonglian Data, describes its approach as combining financial data, alternative data, artificial intelligence, cloud computing, and investment-domain knowledge[1].

DataYes addresses financial institutions and individual investors through several web and mobile products[1]. Independent data marketplace Datarade classifies it as a China-based provider of stock-market and alternative data and lists an integration with Quandl[3].

What It Does

The company's tools support investment research, quantitative strategy development, portfolio analysis, and risk management. Its institutional offering is presented as covering stages from basic data and research through execution, portfolio management, investment operations, and wealth management[1]. The intended institutional users include banks, insurers, fund managers, and securities asset-management businesses[1].

Data And Methodology

DataYes says that it supplies both conventional financial data and alternative data and uses web collection, analytical models, and knowledge graphs to organize information[1]. The public site reports more than 100,000 gigabytes of accumulated data, collection from more than 10,000 websites, and historical series extending more than 50 years[1]. These are vendor-reported aggregate figures; the consulted sources do not independently audit them or specify which datasets receive each history or latency.

Company materials refer to news sentiment as one alternative-data input and to earnings forecasts, quantitative factors, and China-oriented risk models as analytical outputs[1]. Users should distinguish source observations, model-derived factors, and forecasts, since each has different validation and timeliness requirements.

Products

Robo Research Pro is an institutional research and monitoring platform that includes a financial knowledge graph, earnings forecasts, search, and portfolio-through analysis[1]. Uqer is a quantitative-research environment with data, factors, risk models, backtesting, and optimization tools[1]. DataYes also links to a financial-data marketplace, an investor application, and an AI-Ready platform for data workflows[1].

The products are oriented primarily toward Chinese-language and China-market research, although Datarade's listing places the company in the broader international alternative-data marketplace[3]. Public product descriptions do not establish that all functions or datasets are available in every jurisdiction or language.

Access And Pricing

The official site directs prospective users to apply for trials of Robo Research Pro, the AI-Ready platform, Uqer, and the data marketplace[1]. Datarade reports that DataYes has not published its pricing and advises buyers to contact the provider for current terms[3]. Consequently, no standard subscription level, redistribution right, or update commitment can be verified from the consulted public pages.

Company Information

DataYes's contact material identifies its headquarters in Shanghai's Pudong district[2]. A Crunchbase organization profile exists under a DataYes-related name, but accessible details sufficient to corroborate founders, funding rounds, or ownership were not available during review[4]. Those corporate claims are therefore omitted. The official site supplies Chinese regulatory website-registration identifiers and company contact details[1].

Market Position And Limits

DataYes combines functions commonly separated among financial-data terminals, quantitative-research platforms, and alternative-data vendors. Its public presentation emphasizes Chinese investment workflows and local market models[1]. Neither the official page nor the independent marketplace profile provides an external accuracy study, standardized coverage matrix, or verified customer count, so performance and completeness must be assessed at dataset and product level.

Datasets from DataYes (1)