Quantitative Model Data – 100+ Economic Indicators, Inflation Data, Bankruptcy Data, Consensus Estimates Data with 20+ Years of Lookback Globally

What is Quantitative Model Data – 100+ Economic Indicators, Inflation Data, Bankruptcy Data, Consensus Estimates Data with 20+ Years of Lookback Globally?

Access Economic Data across 200+ markets with 100+ indicators on quantitative model, inflation, bankruptcy, consensus estimates, and fundamentals. Track macroeconomic shifts, distress signals, and financial forecasts. Available with volume caps to choose from.

What is Quantitative Model Data – 100+ Economic Indicators, Inflation Data, Bankruptcy Data, Consensus Estimates Data with 20+ Years of Lookback Globally used for?

This product has 2 key use cases. InfoTrie recommends using the data for Investment Banking and Financial Data Enrichment. Global businesses and organizations buy Economic Data from InfoTrie to fuel their analytics and enrichment.

Who can use Quantitative Model Data – 100+ Economic Indicators, Inflation Data, Bankruptcy Data, Consensus Estimates Data with 20+ Years of Lookback Globally?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Economic Data. Get in touch with InfoTrie to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Quantitative Model Data – 100+ Economic Indicators, Inflation Data, Bankruptcy Data, Consensus Estimates Data with 20+ Years of Lookback Globally go?

This product has 20 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, and on-demand basis.

Which countries does Quantitative Model Data – 100+ Economic Indicators, Inflation Data, Bankruptcy Data, Consensus Estimates Data with 20+ Years of Lookback Globally cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. InfoTrie is headquartered in Singapore.

How much does Quantitative Model Data – 100+ Economic Indicators, Inflation Data, Bankruptcy Data, Consensus Estimates Data with 20+ Years of Lookback Globally cost?

Pricing information for Quantitative Model Data – 100+ Economic Indicators, Inflation Data, Bankruptcy Data, Consensus Estimates Data with 20+ Years of Lookback Globally is available by getting in contact with InfoTrie. Connect with InfoTrie to get a quote and arrange custom pricing models based on your data requirements.

How can I get Quantitative Model Data – 100+ Economic Indicators, Inflation Data, Bankruptcy Data, Consensus Estimates Data with 20+ Years of Lookback Globally?

Businesses can buy Economic Data from InfoTrie and get the data via SFTP, Email, REST API, and Feed API. Depending on your data requirements and subscription budget, InfoTrie can deliver this product in .csv, .xls, and .json format.

What is the data quality of Quantitative Model Data – 100+ Economic Indicators, Inflation Data, Bankruptcy Data, Consensus Estimates Data with 20+ Years of Lookback Globally?

InfoTrie has reported that this product has the following quality and accuracy assurances: 99% Fill Rate. You can compare and assess the data quality of InfoTrie using Datarade’s data marketplace. InfoTrie appears on selected Datarade top lists ranking the best data providers, including Best +8 Finance APIs to use in 2023, Best +8 News APIs to use in 2023, and Best Job Search APIs for Efficient Hiring.

What are similar products to Quantitative Model Data – 100+ Economic Indicators, Inflation Data, Bankruptcy Data, Consensus Estimates Data with 20+ Years of Lookback Globally?

This product has 3 related products. These alternatives include Global Bank Location Data & Business Insights, Quantitative Model Data 3,300+ Global Issuers Datasets for Quant Models Quant-driven Portfolio Construction Quantitative Risk Management, and Global Indices Data Commodity Prices Macroeconomic Indices Currency Data 40K Indices. You can compare the best Economic Data providers and products via Datarade’s data marketplace and get the right data for your use case.