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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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 median CPI is a measure of inflation computed by the Federal Reserve Bank of Cleveland. It ranks the components of CPI inflation and picks the one in the middle. Its construction makes it less sensitive to short-lived price fluctuations, thereby better capturing the trend in prices. Released monthly.
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United States CPI U: EC: Comm: IP: Telephone: Cellular data was reported at 47.874 Dec1997=100 in Jun 2018. This records a decrease from the previous number of 47.887 Dec1997=100 for May 2018. United States CPI U: EC: Comm: IP: Telephone: Cellular data is updated monthly, averaging 64.361 Dec1997=100 from Dec 1997 (Median) to Jun 2018, with 247 observations. The data reached an all-time high of 100.000 Dec1997=100 in Dec 1997 and a record low of 47.550 Dec1997=100 in Aug 2017. United States CPI U: EC: Comm: IP: Telephone: Cellular data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I002: Consumer Price Index: Urban. Personal wireless (also known as cellular) phone service where the telephone instrument is portable and sends and receives signals for calls through the airwaves. Services priced are primarily specific plans offered by cellular companies.
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Median Consumer Price Index (CPI) is a measure of core inflation calculated the Federal Reserve Bank of Cleveland and the Ohio State University. Median CPI was created as a different way to get a 'Core CPI' measure, or a better measure of underlying inflation trends. To calculate the Median CPI, the Cleveland Fed analyzes the median price change of the goods and services published by the BLS. The median price change is the price change that's right in the middle of the long list of all of the price changes. This series excludes 49.5% of the CPI components with the highest and lowest one-month price changes from each tail of the price-change distribution resulting in a Median CPI Inflation Estimate.
According to research from the Cleveland Fed, the Median CPI provides a better signal of the inflation trend than either the all-items CPI or the CPI excluding food and energy. According to newer research done at the Cleveland Fed, the Median CPI is even better at PCE inflation in the near and longer term than the core PCE.
For further information, visit The Federal Reserve Bank of Cleveland (https://www.clevelandfed.org/indicators-and-data/median-cpi#background).
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Inflation Rate in the United States increased to 2.70 percent in June from 2.40 percent in May of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Inflation Rate in India decreased to 2.10 percent in June from 2.82 percent in May of 2025. This dataset provides - India Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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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.
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The Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only. ERS's monthly update is usually released on the 25th of the month; however, if the 25th falls on a weekend or a holiday, the monthly update will be published on either the 23rd or 24th. This report provides a detailed outline of ERS's forecasting methodology, along with measures to test the precision of the estimates (May 2015). At ERS, work on the CPI for food consists of several activities. ERS reports the current index level for food, examines changes in the CPI for food, and constructs forecasts of the CPI for food for the next 12-18 months. Forecasting the CPI for food has become increasingly important due to the changing structure of food and agricultural economies and the important signals the forecasts provide to farmers, processors, wholesalers, consumers, and policymakers. As a natural extension of ERS's work with the CPI for food, ERS also analyzes and models forecasts for the Producer Price Index (PPI). The PPI is similar to the CPI in that it measures price changes over time; however, instead of measuring changes in retail prices, the PPI measures the average change in prices paid to domestic producers for their output. The PPI collects data for nearly every industry in the goods-producing sector of the economy. Changes in farm-level and wholesale-level PPIs are of particular interest in forecasting food CPIs. cpi
Economic
cpi,restaurant,wholesale-food-prices
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Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.
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Consumer Price Index CPI in Canada increased to 164.40 points in June from 164.30 points in May of 2025. This dataset provides the latest reported value for - Canada Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Recent studies reported that cytoplasmic dsDNA-induced activation of cyclic GMP-AMP synthase (cGAS)/stimulator of interferon genes (STING) signaling has tremendous potential for antitumor immunity by inducing the production of type I Interferon (IFN), resulting in activation of both innate and adaptive immunity. However, the potential role of STING signaling in modulating immunological checkpoint inhibitor (CPI) therapeutic efficacy remains unexplored. In this research, we employed the single-sample gene set enrichment analysis (ssGSEA) algorithm to calculate the enrichment score of STING signaling across 15 immunotherapy cohorts, including melanoma, lung, stomach, urothelial, and renal cancer. Logistic and Cox regression models were utilized to investigate the association between STING signaling and checkpoint inhibitor therapeutic response. Furthermore, we evaluated the tumor immunogenicity of STING1 molecule expression in the Cancer Genome Atlas (TCGA) pan-cancer datasets. STING signaling was associated with improved immune response in the Mariathasan2018_PD-L1, Gide2019_combined, Jung2019_PD-1/L1, and Gide2019_PD-1 datasets and with prolonged overall survival in the Gide2019_PD-1, Nathanson2017_post, Jung2019_PD-1/L1, and Mariathasan2018_PD-L1 datasets. However, the Braun_2020_PD-1 cohort exhibited worse prognosis outcomes in the high STING signaling subgroup. Our study extended the molecular knowledge of STING signaling activation in regulating the antitumor immune response and provided clinical clues about the combination treatments of STING agonists and CPIs for improving tumor therapeutic efficacy.
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Inflation Rate in Russia decreased to 9.40 percent in June from 9.90 percent in May of 2025. This dataset provides - Russia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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 .
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Contractility of vascular smooth muscle depends on phosphorylation of myosin light chains, and is modulated by hormonal control of myosin phosphatase activity. Signaling pathways activate kinases such as PKC or Rho-dependent kinases that phosphorylate the myosin phosphatase inhibitor protein called CPI-17 (also known as protein phosphatase 1 regulatory subunit 14). Phosphorylation of CPI-17 at Thr-38 enhances its inhibitory potency 1000-fold, creating a molecular switch for regulating contraction .
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Graph and download economic data for Consumer Price Index for All Urban Consumers: Used Cars and Trucks in U.S. City Average (CUSR0000SETA02) from Jan 1953 to May 2025 about used, trucks, vehicles, urban, consumer, CPI, inflation, price index, indexes, price, and USA.
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Key information about Pakistan Consumer Price Index CPI growth
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Inflation Rate in Turkey decreased to 35.05 percent in June from 35.41 percent in May of 2025. This dataset provides the latest reported value for - Turkey Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Permits issued by the Department of Buildings in the City of Chicago from 2006 to the present. The dataset for each year contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. Data fields requiring description are detailed below. PERMIT TYPE: "New Construction and Renovation" includes new projects or rehabilitations of existing buildings; "Other Construction" includes items that require plans such as cell towers and cranes; "Easy Permit" includes minor repairs that require no plans; "Wrecking/Demolition" includes private demolition of buildings and other structures; "Electrical Wiring" includes major and minor electrical work both permanent and temporary; "Sign Permit" includes signs, canopies and awnings both on private property and over the public way; "Porch Permit" includes new porch construction and renovation (defunct permit type porches are now issued under "New Construction and Renovation" directly); "Reinstate Permit" includes original permit reinstatements; "Extension Permits" includes extension of original permit when construction has not started within six months of original permit issuance. WORK DESCRIPTION: The description of work being done on the issued permit, which is printed on the permit. PIN1 – PIN10: A maximum of ten assessor parcel index numbers belonging to the permitted property. PINs are provided by the customer seeking the permit since mid-2008 where required by the Cook County Assessor’s Office. CONTRACTOR INFORMATION: The contractor type, name, and contact information. Data includes up to 15 different contractors per permit if applicable.
Data Owner: Buildings.
Time Period: January 1, 2006 to present.
Frequency: Data is updated daily.
Related Applications: Building Data Warehouse (https://webapps.cityofchicago.org/buildingviolations/violations/searchaddresspage.html).
The European used car market continues to experience elevated prices, with the Harmonized Consumer Price Index for used cars in the Euro area reaching 121.24 in February 2025. This represents a significant increase of 21.24 points compared to the base year. The upward trend in used car prices began in early 2021 and has yet to show substantial signs of returning to pre-pandemic levels. Despite this persistent elevation, there is a growing sentiment among industry professionals that prices may start to stabilize or even decrease in the near future. Dealer expectations and market dynamics A December 2024 survey revealed that over 40 percent of European used car dealers anticipated a decrease in used car prices for 2025. This expectation aligns with the recent flattening of the price index curve observed in late 2024 and early 2025. However, about a third of the surveyed dealers believed prices would remain stable, indicating a divided outlook on the market's future direction. Consumer behavior and regional variations The used car market continues to play a significant role in vehicle ownership, particularly among younger Europeans. Nearly 60 percent of household cars available to people under 30 years old in Europe were purchased as used vehicles. This trend varies across countries, with France and Norway showing higher rates of used car ownership among young people compared to Southern European countries like Spain and Italy. Additionally, regional differences in used car mileage and transaction volumes highlight the diverse nature of the European used car market. Spain, for instance, reported the highest year-over-year increase in used car transactions as of the fourth quarter of 2024, with a 12.3 percent rise.
The Retail Price Index (RPI) is one of the main measures of inflation used to calculate the change in the price of goods and services within the British economy. In the second quarter of 2025 the index value was 403.2, indicating that the price for a fixed basket of goods had increased by almost more than 300 percent since 1987. The RPI inflation rate for June 2025 was 4.4 percent, up from 3.2 percent in March 2025 Inflation and UK living standards For UK consumers, high inflation is one of the main drivers of the ongoing cost of living crisis. With wages struggling to keep up with the pace of inflation for a long period between 2021 and 2023, UK households saw their living standards fall significantly. In 2022/23, real household disposable income in the UK is estimated to have fallen by 2.1 percent, which was the biggest fall in living standards since 1956. While there have been some signals that the crisis eased somewhat in 2024, such as falling energy and food inflation, an increasing share of UK households have reported increasing living costs since Summer 2024. Additional inflation indicators Aside from the Retail Price Index, the UK also produces other inflation indices such as the Consumer Price Index (CPI) and the Consumer Price Index including owner occupiers' housing costs (CPIH). While these particular indices measure consumer price increases slightly differently, they both provide an overall picture of rising prices. More specific inflation rates, such as by sector, are also produced, while other indices omit certain items, such as core inflation, which excludes food and energy inflation, to provide a more stable measure of inflation.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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