Graph and download economic data for Leading Indicators OECD: Leading Indicators: Composite Leading Indicator: Amplitude Adjusted for United States (USALOLITOAASTSAM) from Jan 1955 to May 2025 about leading indicator and adjusted.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

IDX Composite: A Leading Indicator of Indonesian Economic Recovery?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The Federal Reserve Bank of Cleveland provides daily “nowcasts” of inflation for two popular price indexes, the price index for personal consumption expenditures (PCE) and the Consumer Price Index (CPI). These nowcasts give a sense of where inflation is today. Released each business day.

Inflation is generally defined as the continued increase in the average prices of goods and services in a given region. Following the extremely high global inflation experienced in the 1980s and 1990s, global inflation has been relatively stable since the turn of the millennium, usually hovering between three and five percent per year. There was a sharp increase in 2008 due to the global financial crisis now known as the Great Recession, but inflation was fairly stable throughout the 2010s, before the current inflation crisis began in 2021. Recent years Despite the economic impact of the coronavirus pandemic, the global inflation rate fell to 3.26 percent in the pandemic's first year, before rising to 4.66 percent in 2021. This increase came as the impact of supply chain delays began to take more of an effect on consumer prices, before the Russia-Ukraine war exacerbated this further. A series of compounding issues such as rising energy and food prices, fiscal instability in the wake of the pandemic, and consumer insecurity have created a new global recession, and global inflation in 2024 is estimated to have reached 5.76 percent. This is the highest annual increase in inflation since 1996. Venezuela Venezuela is the country with the highest individual inflation rate in the world, forecast at around 200 percent in 2022. While this is figure is over 100 times larger than the global average in most years, it actually marks a decrease in Venezuela's inflation rate, which had peaked at over 65,000 percent in 2018. Between 2016 and 2021, Venezuela experienced hyperinflation due to the government's excessive spending and printing of money in an attempt to curve its already-high inflation rate, and the wave of migrants that left the country resulted in one of the largest refugee crises in recent years. In addition to its economic problems, political instability and foreign sanctions pose further long-term problems for Venezuela. While hyperinflation may be coming to an end, it remains to be seen how much of an impact this will have on the economy, how living standards will change, and how many refugees may return in the coming years.

Graph and download economic data for Real-time Sahm Rule Recession Indicator (SAHMREALTIME) from Dec 1959 to May 2025 about recession indicators, academic data, and USA.

At the end of 2023, Zimbabwe had the highest inflation rate in the world, at 667.36 percent change compared to the previous year. Inflation in industrialized and in emerging countries Higher inflation rates are more present in less developed economies, as they often lack a sufficient central banking system, which in turn results in the manipulation of currency to achieve short term economic goals. Thus, interest rates increase while the general economic situation remains constant. In more developed economies and in the prime emerging markets, the inflation rate does not fluctuate as sporadically. Additionally, the majority of countries that maintained the lowest inflation rate compared to previous years are primarily oil producers or small island independent states. These countries experienced deflation, which occurs when the inflation rate falls below zero; this may happen for a variety of factors, such as a shift in supply or demand of goods and services, or an outflow of capital.

The inflation rate in the United States is expected to decrease to 2.1 percent by 2029. 2022 saw a year of exceptionally high inflation, reaching eight percent for the year. The data represents U.S. city averages. The base period was 1982-84. In economics, the inflation rate is a measurement of inflation, the rate of increase of a price index (in this case: consumer price index). It is the percentage rate of change in prices level over time. The rate of decrease in the purchasing power of money is approximately equal. According to the forecast, prices will increase by 2.9 percent in 2024. The annual inflation rate for previous years can be found here and the consumer price index for all urban consumers here. The monthly inflation rate for the United States can also be accessed here. Inflation in the U.S.Inflation is a term used to describe a general rise in the price of goods and services in an economy over a given period of time. Inflation in the United States is calculated using the consumer price index (CPI). The consumer price index is a measure of change in the price level of a preselected market basket of consumer goods and services purchased by households. This forecast of U.S. inflation was prepared by the International Monetary Fund. They project that inflation will stay higher than average throughout 2023, followed by a decrease to around roughly two percent annual rise in the general level of prices until 2028. Considering the annual inflation rate in the United States in 2021, a two percent inflation rate is a very moderate projection. The 2022 spike in inflation in the United States and worldwide is due to a variety of factors that have put constraints on various aspects of the economy. These factors include COVID-19 pandemic spending and supply-chain constraints, disruptions due to the war in Ukraine, and pandemic related changes in the labor force. Although the moderate inflation of prices between two and three percent is considered normal in a modern economy, countries’ central banks try to prevent severe inflation and deflation to keep the growth of prices to a minimum. Severe inflation is considered dangerous to a country’s economy because it can rapidly diminish the population’s purchasing power and thus damage the GDP .

Poland's inflation rate has shown significant fluctuations recently, with the country experiencing both periods of high inflation and deflation. In May 2025, consumer prices increased by *** percent compared to the previous year, marking a notable decline from the peak of **** percent recorded in February 2023. Food and beverage prices drive inflation Food and non-alcoholic beverages have contributed to Poland's inflation, with prices in this category reaching a staggering **** percent increase in March 2023. Although the rate has since decreased, it remained at *** percent in September 2024, indicating ongoing pressure on consumer budgets. Similarly, alcoholic beverages experienced significant price hikes, peaking at **** percent in March 2023 before settling at *** percent in February 2024. These persistent increases in essential goods have substantially impacted the overall inflation rate. Varied impact across sectors While food and beverages have seen consistent price increases, other sectors have experienced more volatile trends. Clothing and footwear, for instance, went through a period of deflation from January 2019 to April 2021, with prices declining by as much as **** percent in May 2020. However, this sector also saw a sharp reversal, with inflation peaking at *** percent in March 2023. Liquid fuel prices demonstrated even more dramatic swings, soaring to an astonishing ***** percent increase in June 2022. As of January 2025, housing-related costs, including utilities, have emerged as the leading inflationary force, rising by nearly **** percent year-over-year and significantly influencing the overall inflation rate.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Nickel Index: A Leading Indicator?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Graph and download economic data for Producer Price Index by Industry: Office Supplies, Except Paper, Manufacturing: Lead Pencils, Art Goods, Office Supplies and Small Office Equipment, Excluding Paper (PCU3399403399402) from Dec 2003 to May 2025 about lead, arts, small, paper, supplies, metals, equipment, goods, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

We report average expected inflation rates over the next one through 30 years. Our estimates of expected inflation rates are calculated using a Federal Reserve Bank of Cleveland model that combines financial data and survey-based measures. Released monthly.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Australia Inflation.

In May 2025, the UK inflation rate for goods was two percent and 4.7 percent for services. Prices for goods accelerated significantly, sharply between in 2021 and 2022 before falling in 2023. By comparison, prices for services initially grew at a more moderate rate, but have also not fallen as quickly. The overall CPI inflation rate for the UK reached a recent high of 11.1 percent in October 2022 and remained in double-figures until April 2023, when it fell to 8.7 percent. As of this month, the UK's inflation rate was 2.6 percent, down from 2.8 percent in the previous month. Sectors driving high inflation In late 2024, communication was the sector with the highest inflation rate, with prices increasing by 6.1 percent as of December 2024. During the recent period of high inflation that eased in 2023, food and energy prices were particular high, with housing and energy inflation far higher than in any other sector, peaking at 26.6 percent towards the end of 2022. High food and energy prices since 2021 have been one of the main causes of the cost of living crisis in the UK, especially for low-income households that spend a higher share of their income on these categories. This is likely one of the factors driving increasing food bank usage in the UK, which saw approximately 3.12 million people use a food bank in 2023/24, compared with 1.9 million just before the COVID-19 pandemic. The global inflation crisis The UK has not been alone in suffering rapid price increases since 2021. After the start of the COVID-19 pandemic, a series of economic and geopolitical shocks had a dramatic impact on the global economy. A global supply chain crisis failed to meet rising demand in 2021, leading to the beginning of an Inflation Crisis, which was only exacerbated by Russia's invasion of Ukraine in February 2022. The war directly influenced the prices of food and energy, as both countries were major exporters of important crops. European imports of hydrocarbons from Russia were also steadily reduced throughout 2022 and 2023, resulting in higher energy prices throughout the year.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Apple Search Volume: A Leading Indicator of Stock Price

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The food inflation in India fell to around *** percent year-on-year in January 2025. In 2024, the food inflation peaked in October at about ** percent. Impact of inflation Inflation is a key economic indicator of an economy, influencing purchasing power, investments, and economic growth. The rise in food prices, which comprise about **** of the consumer price index (CPI) basket, affects large sections of the Indian population. Supply chain disruptions, increased cost of production, global market dependency, weather conditions, and government policies on minimum support prices are some reasons leading to food inflation. TOP drivers of food inflation Price-sensitive vegetables viz. tomato, onion, and potato (TOP) were the leading drivers of food inflation as per the Economic Survey for the financial year 2025. Experts argue that price pressures are not mainly due to a shortfall in production but post-harvest losses, seasonal production, and regional dispersion in production.  

Graph and download economic data for Producer Price Index by Commodity: Machinery and Equipment: Storage Batteries (Excluding Lead Acid), Including Parts for All Storage Batteries (WPU11790105) from Dec 1984 to May 2025 about lead, parts, machinery, metals, equipment, commodities, PPI, inflation, price index, indexes, price, and USA.

Indonesia Wholesale Price Index: Exports: Lead & Articles Thereof data was reported at 153.000 2010=100 in May 2019. This records an increase from the previous number of 152.000 2010=100 for Apr 2019. Indonesia Wholesale Price Index: Exports: Lead & Articles Thereof data is updated monthly, averaging 134.000 2010=100 from Jan 2013 (Median) to May 2019, with 77 observations. The data reached an all-time high of 162.360 2010=100 in Sep 2018 and a record low of 107.020 2010=100 in Feb 2013. Indonesia Wholesale Price Index: Exports: Lead & Articles Thereof data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Inflation – Table ID.IB006: Wholesale Price Index: by Sector: Exports.

In this paper we propose a smooth transition tree model for both the conditional mean and variance of the short-term interest rate process. The estimation of such models is addressed and the asymptotic properties of the quasi-maximum likelihood estimator are derived. Model specification is also discussed. When the model is applied to the US short-term interest rate we find: (1) leading indicators for inflation and real activity are the most relevant predictors in characterizing the multiple regimes' structure; (2) the optimal model has three limiting regimes. Moreover, we provide empirical evidence of the power of the model in forecasting the first two conditional moments when it is used in connection with bootstrap aggregation (bagging).

Indonesia Wholesale Price Index: Imports: Lead & Articles Thereof data was reported at 119.000 2010=100 in May 2019. This records an increase from the previous number of 117.000 2010=100 for Apr 2019. Indonesia Wholesale Price Index: Imports: Lead & Articles Thereof data is updated monthly, averaging 105.000 2010=100 from Jan 2013 (Median) to May 2019, with 77 observations. The data reached an all-time high of 119.000 2010=100 in May 2019 and a record low of 94.890 2010=100 in Mar 2016. Indonesia Wholesale Price Index: Imports: Lead & Articles Thereof data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Inflation – Table ID.IB005: Wholesale Price Index: by Sector: Imports.

Graph and download economic data for Producer Price Index by Commodity: Machinery and Equipment: Storage Batteries, Lead Acid Type, Larger Than BCI Dimensional Group 8D (WPU11790104) from Dec 1984 to May 2025 about lead, machinery, metals, equipment, commodities, PPI, inflation, price index, indexes, price, and USA.