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Dayforce stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.
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Dayforce reported $8.68B in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for Dayforce | CDAY - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.
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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
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AI-powered price forecasts for CDAY.TO stock across different timeframes including weekly, monthly, yearly, and multi-year predictions.
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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
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License information was derived automatically
Dayforce reported $1.6M in Ordinary Share Capital for its fiscal quarter ending in March of 2025. Data for Dayforce | CDAY - Ordinary Share Capital including historical, tables and charts were last updated by Trading Economics this last July in 2025.
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Historical holdings data showing quarterly positions, market values, shares held, and portfolio percentages for CDAY held by THOMAS H LEE PARTNERS LP from Q2 2018 to Q3 2020
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Explore historical ownership and registration records by performing a reverse Whois lookup for the email address cday@navidar.com..
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Dayforce reported $450.8M in Operating Expenses for its fiscal quarter ending in March of 2025. Data for Dayforce | CDAY - Operating Expenses including historical, tables and charts were last updated by Trading Economics this last July in 2025.
Historical ownership data of CDAY by THOMAS H LEE PARTNERS LP
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License information was derived automatically
Dayforce reported $632.4M in Loan Capital for its fiscal quarter ending in March of 2025. Data for Dayforce | CDAY - Loan Capital including historical, tables and charts were last updated by Trading Economics this last July in 2025.
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License information was derived automatically
Dayforce reported $6.36B in Current Assets for its fiscal quarter ending in March of 2025. Data for Dayforce | CDAY - Current Assets including historical, tables and charts were last updated by Trading Economics this last July in 2025.
The monthly average daily difference in minimum temperatures between successive months (i.e., January values minus December values, February values minus January values, etc), representing increments of change in the seasonal progression of overnight temperatures.
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License information was derived automatically
Dayforce reported 4.8M in Interest Income for its fiscal quarter ending in March of 2025. Data for Dayforce | CDAY - Interest Income including historical, tables and charts were last updated by Trading Economics this last July in 2025.
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Dayforce reported $132.3M in EBIT for its fiscal quarter ending in March of 2025. Data for Dayforce | CDAY - Ebit including historical, tables and charts were last updated by Trading Economics this last July in 2025.
Financial overview and grant giving statistics of Joseph C Day Foundation
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License information was derived automatically
Dayforce reported $0.58 in EPS Earnings Per Share for its fiscal quarter ending in March of 2025. Data for Dayforce | CDAY - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.
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License information was derived automatically
Dayforce reported $9.5B in Assets for its fiscal quarter ending in March of 2025. Data for Dayforce | CDAY - Assets including historical, tables and charts were last updated by Trading Economics this last July in 2025.
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License information was derived automatically
Dayforce reported 157.7M in Outstanding Shares in January of 2025. Data for Dayforce | CDAY - Outstanding Shares including historical, tables and charts were last updated by Trading Economics this last July in 2025.
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License information was derived automatically
Dayforce reported $2.59B in Equity Capital and Reserves for its fiscal quarter ending in March of 2025. Data for Dayforce | CDAY - Equity Capital And Reserves including historical, tables and charts were last updated by Trading Economics this last July in 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Dayforce stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.