CI-Advisor Questions

A CI-Advisor specialist can connect with you to understand your current needs and develop a proposal tailored to your specific requirements. [Link to how to contact here]

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.

Of course. Our Global Cognitive System can be used for a wide variety of scenarios and predictive analyses, and listing them all on our website would be prohibitive. Please contact one of our CI-Advisor specialists who can help you map out a path forward. [Link]

CI-Futures Subscription Questions

Subscriptions are available on our website. Product descriptions and pricing are available here [link to pricing info].

All of our data is available through an Internet browser.

We love students. We would be happy to come to blanket subscription agreements with your class or your university, so please contact us here [link to contact page].

Absolutely yes! Please contact us here [link] and let us know the name of your organization, the number of users and how we can contact you (no Google, Hotmail or generic email IDs, please).

Yes! However, these are fee based, so if you would like to ask about custom forecasts, please don’t send an email from a generic service (Google, Hotmail, etc). We’ll need to see corporate or organizational email ID. Please let us know how we can help you here [link].

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 our customer service here [link] to discuss.

We don’t have a mobile app, but our website is optimized for mobile.

Yes! We offer academic discounts and multi-year subscription discounts. Contact a Complete Intelligence Specialist to learn more. [Link to how to contact here]

Of course! If you’re a Freemium subscriber, click “Upgrade” at any time. If you want to upgrade to Enterprise, please contact us, and a Complete Intelligence specialist can help find the right fit for you.

We accept all major credit cards.

For first-time Complete Intelligence subscribers, we offer a 24-hour money back guarantee, as long as no data has been downloaded from the Complete Intelligence platform. You can cancel your account by contacting a customer service representative. After the 24-hour period, canceling prevents your account from renewing, but you will continue to have access to your subscription through the end of the paid period. See our terms of service and payment terms.

Data Questions

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. That’s it.

Our data sources are largely open sources: multilateral agencies, national statistical agencies, market and exchange closing data, and industry associations. Our data sources are largely open sources: multilateral agencies, national statistical agencies, market and exchange closing data, and industry associations.

We reforecast all of our Markets data once 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 UN Comtrade by weighting the monthly exchange rate with the monthly volume of trade, then converting from local currency units to US dollars.

In many cases, world totals will not add up to the sum of the 95 countries or their 195 trade partners that Complete Intelligence tracks. In many cases, as with trade, for example, the difference is made up by non-sovereign trade partners (territories or other possessions) that may not be tracked in national statistics. In many cases, Complete Intelligence does track these non-sovereign territories, so we can supply this information on a customized basis. Please contact our customer support for inquires. [link]

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).

Redistribution and sublicensing of Complete Intelligence data is not covered by our standard terms of use. If your firm is interested in redistributing or sublicensing our data, please contact our customer service team here. [link]

We get our data from open sources, including multilateral institutions and government statistical agencies, and market data from exchanges.

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.

The approach we use to calculate continuous futures is called “Backwards Ratio Adjusted Prices, Roll On Last Trading Day”. Price histories of each underlying contract are multiplied by a constant amount, starting with the newest contract and working backwards. The intention with this approach is to eliminate jumps in price between consecutive contracts. On every roll date, the ratio between the back contract’s settle price and the front contract’s settle price (back settle divided by front settle) is computed. The entire historical series is then multiplied by this ratio, adjusting the full contract history on every roll date. To avoid biases when using the Ratio method, Profit/Loss should be calculated based on price percentage changes. Consistent contango or backwardation can lead to very large or very small absolute magnitudes for historical prices, but percentage-based PL calculations should mitigate aberrant magnitudes.

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.

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