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The Finance & Economics Dataset provides daily financial and macroeconomic data, including stock market prices, GDP growth, inflation, interest rates, consumer spending, exchange rates, and more. It is designed for use in:
✔ Financial Market Analysis – Track stock index movements and trading volumes. ✔ Macroeconomic Research – Study economic trends, including inflation and GDP growth. ✔ Investment Decision Making – Evaluate interest rates, corporate profits, and consumer confidence. ✔ Machine Learning & Predictive Analytics – Develop forecasting models for economic indicators.
This dataset is valuable for economists, investors, data scientists, researchers, and policymakers.
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TwitterGallup tracks daily the percentage of Americans who rate economic conditions in the country today as "excellent," "good," "only fair," and "poor." The results are reported here and also included in Gallup's Economic Confidence Index. Daily results are based on telephone interviews with approximately 1,500 national adults; Margin of error is ±3 percentage points.
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United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Daily News Sentiment Index data was reported at 0.000 % in 01 Dec 2025. This stayed constant from the previous number of 0.000 % for 24 Nov 2025. United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Daily News Sentiment Index data is updated weekly, averaging 6.742 % from Jan 2020 (Median) to 01 Dec 2025, with 308 observations. The data reached an all-time high of 23.580 % in 28 Dec 2020 and a record low of 0.000 % in 01 Dec 2025. United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Daily News Sentiment Index data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Unemployment Rate.
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Graph and download economic data for Economic Policy Uncertainty Index for United States (USEPUINDXD) from 1985-01-01 to 2025-12-01 about academic data, uncertainty, indexes, and USA.
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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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Blockchain data query: L2 Economics since inception (daily)
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TwitterDaily Track the Recovery Economic Data
Daily Track the Recovery Economic Data
Geography Level: StateItem Vintage: Not Available
Update Frequency: DailyAgency: Opportunity InsightsAvailable File Type: Excel with GitHub link to other orgs CSV and other data files
Return to Other Federal Agency Datasets Page
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United States U.S. Dollar Index: Spot: Daily data was reported at 97.104 Mar1973=100 in 18 Dec 2018. This records an increase from the previous number of 97.100 Mar1973=100 for 17 Dec 2018. United States U.S. Dollar Index: Spot: Daily data is updated daily, averaging 94.760 Mar1973=100 from Jan 1971 (Median) to 18 Dec 2018, with 12183 observations. The data reached an all-time high of 164.720 Mar1973=100 in 25 Feb 1985 and a record low of 71.329 Mar1973=100 in 22 Apr 2008. United States U.S. Dollar Index: Spot: Daily data remains active status in CEIC and is reported by Commodity Research Bureau. The data is categorized under Global Database’s United States – Table US.M017: US Dollar Index.
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Money Supply M2 in the United States increased to 22298.10 USD Billion in October from 22212.50 USD Billion in September of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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The percentage of respondents who report that they use a mobile phone daily. The respondents are the entire civilian, noninstitutionalized population age 15 and up in the target economies.
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TwitterThis dataset was created by stpete_ishii
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China Participants’ Average Daily Time Use: Major Activity Categories: Labor and Employment data was reported at 383.000 min in 2024. This records a decrease from the previous number of 461.000 min for 2018. China Participants’ Average Daily Time Use: Major Activity Categories: Labor and Employment data is updated yearly, averaging 383.000 min from Dec 2008 (Median) to 2024, with 3 observations. The data reached an all-time high of 461.000 min in 2018 and a record low of 377.000 min in 2008. China Participants’ Average Daily Time Use: Major Activity Categories: Labor and Employment data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OT: Participants’ Average Daily Time Use.
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Graph and download economic data for OECD based Recession Indicators for South Africa from the Period following the Peak through the Trough (DISCONTINUED) (ZAFRECD) from 1960-02-01 to 2022-05-31 about peak, trough, recession indicators, and South Africa.
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Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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The percentage of respondents who report that they buy a daily data package to use the internet. The respondents are the entire civilian, noninstitutionalized population age 15 and up in the target economies.
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This dataset offers complete historical daily stock prices for Alphabet Inc. (GOOGL). Spanning from GOOGL’s IPO in 2004 through to the present, it provides a clean and consistent view of stock performance over time.
Whether you’re building predictive models, testing trading strategies, or visualizing long-term price movements, this dataset is ready to use with just a few lines of code.
This dataset is part of a larger ecosystem of Google/Alphabet-related datasets I created. You can use them together for powerful, multi-dimensional analysis:
👉 GOOGL Financial Dataset: Quarterly Reports + Daily Prices
Includes quarterly income statements, balance sheets, cash flow statements, and another source of daily prices for cross-verification or model ensembling.
👉 GOOGL Daily News — 2000 to 2025
Provides daily news headlines and summaries related to Alphabet Inc., perfect for sentiment analysis, event-based forecasting, and correlating news with stock prices.
Combine all three datasets to:
1. open – Opening stock price of the day
2. high – Highest price reached that day
3. low – Lowest price during the day
4. close – Closing price of the trading day
5. volume – Volume of shares traded
date (index) – Trading date
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This dataset was created by Brian Ledger
Released under CC0: Public Domain
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Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-11-28 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.
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Graph and download economic data for NBER based Recession Indicators for the United States from the Period following the Peak through the Trough (USRECD) from 1854-12-01 to 2025-11-30 about peak, trough, recession indicators, and USA.
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"The attached data represents the daily price of Bitcoin from 2013 to 2024. Using this data, you can predict future Bitcoin prices by employing univariate or multivariate time series models. Additionally, with data science, you can assess the relationships between Bitcoin prices and other variables, or examine whether the price of this asset exhibits any seasonal effects."
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
The Finance & Economics Dataset provides daily financial and macroeconomic data, including stock market prices, GDP growth, inflation, interest rates, consumer spending, exchange rates, and more. It is designed for use in:
✔ Financial Market Analysis – Track stock index movements and trading volumes. ✔ Macroeconomic Research – Study economic trends, including inflation and GDP growth. ✔ Investment Decision Making – Evaluate interest rates, corporate profits, and consumer confidence. ✔ Machine Learning & Predictive Analytics – Develop forecasting models for economic indicators.
This dataset is valuable for economists, investors, data scientists, researchers, and policymakers.