This dataset is about stocks per day. It has 939 rows and is filtered where the stock is CPI-R.BK. It features 6 columns including stock, opening price, highest price, and lowest price.

Capita stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Consumer Price Index CPI in the United States increased to 324.80 points in September from 323.98 points in August of 2025. This dataset provides the latest reported value for - United States Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.

CPI Card Group Common Stock Price Predictions

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

Loans: Stock: Household: by Indexers: Consumer Price Index (CPI): Broad Category - IPCA: Alagoas data was reported at 128,107,190.630 BRL in Jan 2025. This records an increase from the previous number of 127,522,148.030 BRL for Dec 2024. Loans: Stock: Household: by Indexers: Consumer Price Index (CPI): Broad Category - IPCA: Alagoas data is updated monthly, averaging 108,389,531.025 BRL from Jun 2016 (Median) to Jan 2025, with 92 observations. The data reached an all-time high of 129,269,862.610 BRL in Aug 2022 and a record low of 126,068.840 BRL in Sep 2018. Loans: Stock: Household: by Indexers: Consumer Price Index (CPI): Broad Category - IPCA: Alagoas data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB113: Loans: Stock: Household: by Indexers: Consumer Price Index: Broad Category - IPCA. [COVID-19-IMPACT]

Capita reported GBP5.87B in Market Capitalization this December of 2025, considering the latest stock price and the number of outstanding shares.Data for Capita | CPI - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Loans: Stock: Household: by Indexers: Consumer Price Index (CPI): Broad Category - IPCA: Distrito Federal data was reported at 1,080,147,102.810 BRL in Jan 2025. This records a decrease from the previous number of 1,089,194,818.790 BRL for Dec 2024. Loans: Stock: Household: by Indexers: Consumer Price Index (CPI): Broad Category - IPCA: Distrito Federal data is updated monthly, averaging 642,943,094.485 BRL from Jun 2016 (Median) to Jan 2025, with 104 observations. The data reached an all-time high of 1,214,042,252.500 BRL in Aug 2022 and a record low of 839,634.330 BRL in Nov 2016. Loans: Stock: Household: by Indexers: Consumer Price Index (CPI): Broad Category - IPCA: Distrito Federal data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB113: Loans: Stock: Household: by Indexers: Consumer Price Index: Broad Category - IPCA. [COVID-19-IMPACT]

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.

LON:CPI CAPITA PLC

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

AI-powered price forecasts for CPI.L stock across different timeframes including weekly, monthly, yearly, and multi-year predictions.

Context

I collected and merged these different data sets found at the United Nations UNCTAD.

Content

Contains information on foreign direct investment (FDI) inward and outward flows and stock, expressed in millions of dollars (USD). These figures correspond to the Statistical Annexes of the UNCTAD World Investment Report.

The table also presents the percentage share of each economy/group in the world, and percentage ratios of FDI to GDP.

The Consumer Price Index (CPI) is included beginning in 1980. Not all data was recorded for all countries (or reported) at the same time or in all years, so you will find some empty values.

PPC is Price Per Capita, PPM is Price Per Million.

Acknowledgements

Inspiration

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.

CVU CPI Aerostructures Inc. Common Stock

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

Capita reported GBP1.94B in Assets for its fiscal semester ending in June of 2025. Data for Capita | CPI - Assets including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Loans: Stock: Household: by Indexers: Consumer Price Index (CPI): Broad Category - IPCA: Piauí data was reported at 161,750,851.610 BRL in Jan 2025. This records an increase from the previous number of 160,461,899.610 BRL for Dec 2024. Loans: Stock: Household: by Indexers: Consumer Price Index (CPI): Broad Category - IPCA: Piauí data is updated monthly, averaging 135,931,991.360 BRL from Jan 2017 (Median) to Jan 2025, with 87 observations. The data reached an all-time high of 161,750,851.610 BRL in Jan 2025 and a record low of 151,338.350 BRL in Jun 2018. Loans: Stock: Household: by Indexers: Consumer Price Index (CPI): Broad Category - IPCA: Piauí data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB113: Loans: Stock: Household: by Indexers: Consumer Price Index: Broad Category - IPCA. [COVID-19-IMPACT]

AI-powered price forecasts for CPI stock across different timeframes including weekly, monthly, yearly, and multi-year predictions.

Korea Consumer Price Index (CPI): Commodities: AMP: Stock Products data was reported at 157.500 2000=100 in Nov 2006. This records a decrease from the previous number of 162.600 2000=100 for Oct 2006. Korea Consumer Price Index (CPI): Commodities: AMP: Stock Products data is updated monthly, averaging 87.705 2000=100 from Jan 1985 (Median) to Nov 2006, with 263 observations. The data reached an all-time high of 168.700 2000=100 in Jun 2006 and a record low of 47.759 2000=100 in Dec 1987. Korea Consumer Price Index (CPI): Commodities: AMP: Stock Products data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.I028: Consumer Price Index: Special Groups: 2000=100.

Cpi Plastic Joint Stock Company Trung Luong Industrial Cluster Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Non-traditional data signals from social media and employment platforms for CPI stock analysis

Cpi Plastic Joint Stock Company Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Capita reported 1.7B in Outstanding Shares in January of 2025. Data for Capita | CPI - Outstanding Shares including historical, tables and charts were last updated by Trading Economics this last November in 2025.

Loans: Stock: Household: by Indexers: Consumer Price Index (CPI): Broad Category - IPCA: São Paulo data was reported at 6,203,439,809.170 BRL in Jan 2025. This records an increase from the previous number of 6,164,222,285.550 BRL for Dec 2024. Loans: Stock: Household: by Indexers: Consumer Price Index (CPI): Broad Category - IPCA: São Paulo data is updated monthly, averaging 1,892,011,016.520 BRL from Jul 2015 (Median) to Jan 2025, with 115 observations. The data reached an all-time high of 6,203,439,809.170 BRL in Jan 2025 and a record low of 54,904.660 BRL in Oct 2015. Loans: Stock: Household: by Indexers: Consumer Price Index (CPI): Broad Category - IPCA: São Paulo data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB113: Loans: Stock: Household: by Indexers: Consumer Price Index: Broad Category - IPCA. [COVID-19-IMPACT]