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TwitterExtracted economic calendar data from 23-01-2013 to 15-05-2023 from all countries.
Columns - date (d-m-y h:m:s) - title of the economic indicator - country from which data originate - indicator name - commentary on the change in value - actual value - previous value - forecast value for the next month - importance of the value
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TwitterThe Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.
Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.
Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.
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This dataset records world economic events on a calendar basis. Date, time, country/zone, currency, event name, importance level, and actual/predicted/previous economic values (if available) are among the details that are included in each row, which represents a single event. Columns such as id, date, time, zone, currency, importance, event, actual, forecast, and prior are included in the dataset. These areas aid in monitoring market-moving announcements, national public events and holidays, and economic indicators.
Financial analysis, forecasting, and comprehending the impact of world events on markets and currencies may all be done with this dataset. These economic calendars are used by traders, economists, and data analysts to examine how significant announcements (such as interest rates, inflation figures, and holidays) affect market activity. Time-series forecasting models, market reaction studies, and EDA initiatives that investigate the connections between financial patterns and economic events can all benefit from its support.
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Africa Economic Calendar Dataset
Dataset Description
This dataset contains 111,450 macroeconomic events from 18 African countries, spanning from 2020 to 2025. The dataset mirrors professional economic calendars used by traders, economists, and analysts to track key economic indicators that move financial markets. Each event includes its scheduled release time, geographical zone, currency, importance level, and actual, forecast, and previous values when available.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-economic-calendar-2020-2025.
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TwitterThis dataset was created by LY4guh
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Graph and download economic data for Composite Leading Indicators: Reference Series (GDP) Calendar and Seasonally Adjusted for United States (LORSGPORUSQ659S) from Q1 1948 to Q4 2023 about leading indicator, GDP, and USA.
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A dataset of public corporate filings (such as annual reports, quarterly reports, and ad-hoc disclosures) for baby calendar Inc. (7363), provided by FinancialReports.eu.
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TwitterCalendnar from Office of Economic Policy showing when economic indicators were released in 2012, 2013, 2014
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Explore the intricate dance between gold prices and key economic events across major global players – Canada, Japan, USA, Russia, European Union, and China. This comprehensive dataset spans from January 2019 to December 2023, offering a nuanced analysis of how economic news from these influential regions impacts the ever-volatile gold market. Delve into the ebb and flow of financial landscapes, uncovering trends, correlations, and invaluable insights for strategic decision-making in the dynamic world of investments.
Historical Gold Price Dataset:
** Economic Calendar Dataset**:
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TwitterThese annual reports contain the financial statements for TARP, the Government Accountability Office's (GAO) audit opinion on those financial statements, a separate opinion on OFS' internal controls over financial reporting, and results of GAO's tests of OFS' compliance with selected laws and regulations. The AFR is produced annually for the prior fiscal year and released during the last quarter of the calendar year.
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TwitterWeekly Economic Calendar shows future release dates of key economic data and publications used by NSW Treasury for monitoring and analysis.
Note: This resource was originally published on opengov.nsw.gov.au. The OpenGov website has been retired. If you have any questions, please contact the Agency Services team at transfer@mhnsw.au
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Leading Economic Index the United States increased to 98.40 in August of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Coincident Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Mega Financial stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.
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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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Leading Economic Index Taiwan increased to 110.58 in October of 2025 over the same month in the previous year. This dataset provides - Taiwan Leading Composite Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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News reported $335M in Trade Creditors for its fiscal quarter ending in June of 2025. Data for News | NWS - Trade Creditors including historical, tables and charts were last updated by Trading Economics this last December in 2025.
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Browse LSEG's Events , discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.
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Peru BCRP Forecast: Exchange Rate against US$: Non Financial Companies: Next 2 Calendar Year data was reported at 3.400 PEN/USD in Oct 2018. This records an increase from the previous number of 3.380 PEN/USD for Sep 2018. Peru BCRP Forecast: Exchange Rate against US$: Non Financial Companies: Next 2 Calendar Year data is updated monthly, averaging 3.075 PEN/USD from Dec 2003 (Median) to Oct 2018, with 132 observations. The data reached an all-time high of 3.700 PEN/USD in Feb 2016 and a record low of 2.600 PEN/USD in Apr 2013. Peru BCRP Forecast: Exchange Rate against US$: Non Financial Companies: Next 2 Calendar Year data remains active status in CEIC and is reported by Central Reserve Bank of Peru. The data is categorized under Global Database’s Peru – Table PE.M010: Foreign Exchange Rate: Forecast: Central Reserve Bank of Peru.
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Prices for XMRUST Monero Tether including live quotes, historical charts and news. XMRUST Monero Tether was last updated by Trading Economics this December 2 of 2025.
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Ally Financial reported $12.55B in Market Capitalization this December of 2025, considering the latest stock price and the number of outstanding shares.Data for Ally Financial | ALLY - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last December in 2025.
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TwitterExtracted economic calendar data from 23-01-2013 to 15-05-2023 from all countries.
Columns - date (d-m-y h:m:s) - title of the economic indicator - country from which data originate - indicator name - commentary on the change in value - actual value - previous value - forecast value for the next month - importance of the value