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Powered by the latest econometric, AI and machine-learning models, backtested and verified, Indicio's advanced modelling tools can help you detect trend shifts up to two months earlier, with a guaranteed 30% improvement in accuracy.

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Customers impact of Indicio

40%
5x
72 h
3x
increased forecast accuracy,
months ahead
quicker to identify your
relevant leading indicators
of model building and testing
saved each week
number of
leading indicators identified
Alexander Noren, a customer that used Indicio

“Produces accurate forecasts”

Indicio advances our overall digital strategy of becoming a data-driven organization, producing accurate forecasts in a fraction of time.

Alexander Norén
Head of Analysis
Skanska
Steven Van Poecke, Toyota, customer of Indicio.

“We are pleased with the possibilities Indicio brings to us.”

Indicio has continuously improved our forecasts and added features that automate and support our business process.

Steven Van Poecke
Head of Marketing Intelligence
Toyota Material Handling Europe
Anders Nordberg, LF Bank, customer of Indicio.

“Instrumental in helping us achieve higher efficiency”

“Indicio was instrumental in achieving higher efficiency and at the same time increase the output from our lean organization”

Anders Nordberg
Head of Macro
LF Bank

The key to accurate forecasting

Learn more about effective variable selection techniques and boost your forecasting models.
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Explore our forecast templates

US Non-Farm Payrolls

Forecasting the US NFP requires analyzing a blend of high-frequency indicators, like Initial jobless claims, Purchasing Managers index, Deposits, Inflation, GDP growth, and unemployment rates, as they provide insight into the overall health of the labor market.

Jobless Claims, Initial, Total

⭐⭐⭐⭐

Jobless Claims, 4 Week MA

⭐⭐⭐

Jobless Claims, Initial, Total, SA

⭐⭐

CPI, All Items, SA, Index

⭐

80+

21

92%

Models evaluated

Variables evaluated

Accuracy

US PMI

Nowcasting the PMI in US requires analyzing a blend of high-frequency indicators like the CISS, Oil Spot Price, Economic Surprise Index, Interbank Rates and Volatility Indices as they provide an early insight into the overall health of the economy.

Composite Indicator of Systemic Stress

⭐⭐⭐⭐

Crude Oil, USD

⭐⭐⭐

Economic Surprise Index, Citi

⭐⭐

LIBOR, 6 Month, Fixing

⭐

80+

18

98,5%

Models evaluated

Variables evaluated

Accuracy

EU Economic Sentiment Indicator

Nowcasting the Economic Sentiment Indicator in EU requires analyzing a blend of high-frequency indicators like the Yield for Spain, Germany, and France, Economic Surprise Index from Citi, and DAX 40, as they provide an early insight into the overall health of the economy.

Spain, 3 Year, Yield

⭐⭐⭐⭐

Germany, 3 Month, Yield

⭐⭐⭐

France, 3 Year, Yield

⭐⭐

Euro Area, Citi, Economic Surprise Index

⭐

80+

25

99,7%

Models evaluated

Variables evaluated

Accuracy

US CPI

Forecasting the inflation in US requires analyzing a blend of high-frequency indicators, like prices of Energy, gasoline, electricity, transport, food and lumber as they provide insight into the overall price development.

Gasoline, All Formulations, Price

⭐⭐⭐⭐

Beef, Select Carcass Value, USD

⭐⭐⭐

Total US Rig Count, Gas

⭐⭐

Rail Traffic, Total

⭐

80+

14

95,2%

Models evaluated

Variables evaluated

Accuracy

Germany GDP

Nowcasting the GDP in Germany requires analyzing a blend of high-frequency indicators like Weekly Activity Index, IFO - Manufacturing Expectations the Next 6 Months, ZEW  Financial Market Report, IFO Trade index, GFK Consumer Climate.

Ifo, Manufacturing Industry, Expectations

⭐⭐⭐⭐

Weekly Activity Index

⭐⭐⭐

ZEW, Economic Expectations

⭐⭐

Ifo, Business Situation

⭐

80+

28

99,4%

Models evaluated

Variables evaluated

Accuracy

US New Home Sales

Forecasting the US housing market requires analyzing a blend of factors like, Construction spending, Inflation, Financial volatility index, and New Privately-Owned Housing Units Started.

Construction Spending

⭐⭐⭐⭐

CPI, all items

⭐⭐⭐

Volatility Index

⭐⭐

New Housing Started, SAAR

⭐

80+

21

92%

Models evaluated

Variables evaluated

Accuracy

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