Custom Forecasting Questions
Contact us here. One of our Advisors will connect with you to understand your current needs and develop a proposal tailored to your specific requirements.
Yes. Complete Intelligence can provide a specifically designed API to suit your needs—whether through your existing corporate systems or through existing 3rd party platforms and providers. Our goal is to give you a seamless and efficient interface to our platform—which is particularly important for more involved analyses.
Complete Intelligence safeguards all information we receive from our customers. Furthermore, this information will be used solely for the purposes of your specific analysis and not shared with anyone outside of Complete Intelligence.
Our Global Cognitive System can be used for a wide variety of scenarios and predictive analyses, too many to list on the website. Please contact one of our Advisors who can help you map out a path forward.
CI-Futures Subscription Questions
We recommend booking a demo so you can see the platform first-hand and learn its capabilities. You can request a demo here. Please contact one of our advisors for subscription and pricing information.
All of our data is available through an Internet browser.
We love students. We would be happy to discuss a blanket subscription agreement with your class or your university. We offer academic licenses at a discounted rate. Contact a Complete Intelligence advisor to learn more.
Yes, we do provide custom forecasts. Please contact one of our Advisors so we can learn the details of your project.
Yes. For 5 or more accounts, we will provide enterprise subscriptions or APIs and can work with your existing systems, or across 3rd party platforms. Please contact an Advisor here to discuss.
Our website is optimized for mobile.
Complete Intelligence is focused on relevant, high-quality forecast data for corporates, governments and small / mid-sized firms. Our data is collected, cleaned, and forecast through a statistically-valid process to help our clients make informed and timely decisions. Our interface is clean, clear and concise. We don’t bog our customers down with unnecessarily confusing interfaces, ill-informed or overly-wordy narratives, or hard-coded “forecasts” that are manually adjusted so they’re not too far off of the “consensus number.” We have a real model. We do real forecasts. And we want to help you make better decisions.
Our data sources are largely open sources: multilateral agencies, government statistical agencies, market and exchange closing data, and industry associations.
We reforecast all of our Markets data twice a month. This is a complete reforecasting process, wherein we reexamine and reconfigure our algorithms for every data series on a monthly basis to reflect the very small and incremental changes that occur in the world economy and markets each month.
Values are current US dollar values for the year reported. The value is calculated by weighting the monthly exchange rate with the monthly volume of trade, then converting from local currency units to US dollars.
Multilateral organizations may track some nations in ways that may be confusing for users unfamiliar with the individual methodologies. Norway, for example, is tracked by the United Nations as “Norway, Svalbard and Jan Mayen”. Switzerland is tracked by the UN as “Switzerland, Liechtenstein”. In these cases, we have simplified to “Norway” and “Switzerland” and may do so for other countries where no other simplified option is available.
We are a data firm. There is a lot of economic and industry commentary available Bloomberg, CNBC, Reuters, Yahoo, Google, IMF, and World Bank. To be honest, we don’t believe more reading is what you need. We believe you need better data.
Of course we do. Just let us know the data series and countries you would like as well as the format you prefer. Contact us here and let us know the name of your organization, how you will use the data, and how we can contact you (no Google, Hotmail or generic email IDs, please).
Yes, you can access the data and export it in Excel-friendly CSV format.
Our commodity prices are based on futures contract pricing. In order to account for all active futures contracts, we calculate a “continuous futures” price, which is generally similar to the way stock splits are handled for equity market calculations.
R-squared tells the user how well the forecast represents the historical behavior of the data. It represents how closely the data fit the forecast line. The lower the r-squared, the worse the fit. The higher, the better. So an r-squared of 1 is a perfect fit.
The correlation listed next to each asset represents the relationship of that particular asset with the economic indicators that we test as outlined in our methodology. It works as an indicator to the certainty of our forecasts. The range varies from -1 to +1. So, +1 is a perfect fit, -1 is a perfect inverse fit and 0 is not a fit. The closer it is to 0, the lower the ability to forecast accurately. Correlation only identifies possible connections between variables; it does not prove or disprove any causal relationships.