Abstract

Currency exchange rate is an important metric to inform economic policy but traditional sources are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual rate trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes currency exchange rate estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes

The data cover the following sub-national areas: North Darfur, Blue Nile, Northern, Nile, Eastern Darfur, West Kordofan, Gedaref, West Darfur, North Kordofan, South Kordofan, Kassala, Khartoum, White Nile, South Darfur, Red Sea, Sennar, Al Gezira, Central Darfur, Market Average

Graph and download economic data for 6-Month Treasury Bill Secondary Market Rate, Discount Basis (WTB6MS) from 1958-12-12 to 2025-10-24 about 6-month, secondary market, bills, Treasury, interest rate, interest, rate, and USA.

Euro Area - Day-to-day money market interest rates was -0.49% in December of 2021, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Euro Area - Day-to-day money market interest rates - last updated from the EUROSTAT on December of 2025. Historically, Euro Area - Day-to-day money market interest rates reached a record high of -0.48% in August of 2021 and a record low of -0.49% in December of 2021.

Graph and download economic data for Average Rate on 3-Month Negotiable Certificates of Deposit (Secondary Market), Quoted on an Investment Basis (DISCONTINUED) (DCD90) from 1964-06-11 to 2013-06-28 about CD, secondary market, 3-month, interest rate, interest, rate, and USA.

TraditionData’s Interest Rate Swaps service offers comprehensive coverage across 33 currencies, focusing on portfolio interest rate risk management and yield enhancement. This service includes:

• Real-time, intraday, and end-of-day pricing for interest rate markets.
• Datasets sourced directly from Tradition’s brokerage desks.
• Flexible data content and delivery method.
• Beneficial for managing interest rate risk, enhancing yields, improving diversification, hedging interest rate exposure, and creating synthetic positions.

For further details, you can visit TraditionData Interest Rate Swaps.

Mali ML: Money Market Rate data was reported at 5.091 % pa in 2017. This records an increase from the previous number of 4.607 % pa for 2016. Mali ML: Money Market Rate data is updated yearly, averaging 4.764 % pa from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 5.398 % pa in 2008 and a record low of 3.833 % pa in 2013. Mali ML: Money Market Rate data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Mali – Table ML.IMF.IFS: Money Market and Policy Rates: Annual.

The Configure Price Quote (CPQ) Market Report is Segmented by Deployment Type (Cloud, On-Premise), End-User Enterprise Size (Large Enterprises, Small and Medium-Sized Enterprises), End-User Industry (Manufacturing, Healthcare and Life Sciences, IT and Telecom, BFSI, and More), Sales Channel (Direct Sales, Independent Software Vendor Channel, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

Concept: Outstanding balance, in the end of a period, of credit operations which are under regulation by the National Monetary Council (CMN) or linked to budget funds. Refers to special financing operations which require proof of proper use of funds, linked to medium and long term production and investments projects. Funds origins are shares of checking accounts and savings accounts and funds from governmental programs. Source: Central Bank of Brazil – Statistics Department a13f7758-ddd4-4f45-b7ac-1e498455916e 20607-earmarked-credit-operations-outstanding---households---rural-credit---market-rates

As of 2023, 65 percent of the population in Small Island Developing States (SIDS) used the internet, compared to 35 percent of individuals living in the least Developed Countries (LDCs) while the internet penetration rate for those living in Landlocked Developing Counties (LLDCs) was at 39 percent. The global online access rate was 68 percent.

This dataset contains the predicted prices of the asset Pure Market over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Explore insights from Market Research Intellect's Conversion Rate Optimization Software Market Report, valued at USD 1.2 billion in 2024, expected to reach USD 3.4 billion by 2033 with a CAGR of 15.6% during 2026-2033.Uncover opportunities across demand patterns, technological innovations, and market leaders.

Concept: Average interest rate from new credit operations started in the reference period, which are under regulation by the National Monetary Council (CMN) or linked to budget funds. The rate is weighted by the value of operations. Refers to special financing operations which require proof of proper use of funds, linked to medium and long term production and investments projects. Funds origins are shares of checking accounts and savings accounts and funds from governmental programs. Source: Central Bank of Brazil – Statistics Department 1b721f6c-bf1c-4847-a20c-d98be4984b37 25486-month-average-interest-rate-of-earmarked-new-credit-operations---non-financial-corporations--

Introduction

Robotic Process Automation Statistics: RPA is a transformative technology that leverages robot software to automate rule-based tasks within digital systems. It operates by identifying repetitive tasks and developing software bots to execute them.

Seamlessly integrating these bots with existing software applications. RPA offers numerous benefits, including cost efficiency, accuracy, scalability, and enhanced productivity.

Its adoption is on the rise across industries, with the global RPA market poised for significant growth. This technology has the potential to revolutionize business operations.

By reducing costs, improving efficiency, and allowing human employees to focus on more strategic activities. Ultimately enhancing overall productivity and competitiveness.

The "Stock Market Dataset for AI-Driven Prediction and Trading Strategy Optimization" is designed to simulate real-world stock market data for training and evaluating machine learning models. This dataset includes a combination of technical indicators, market metrics, sentiment scores, and macroeconomic factors, providing a comprehensive foundation for developing and testing AI models for stock price prediction and trading strategy optimization.

Key Features Market Metrics:

Open, High, Low, Close Prices: Daily stock price movement. Volume: Represents the trading activity during the day. Technical Indicators:

RSI (Relative Strength Index): A momentum oscillator to measure the speed and change of price movements. MACD (Moving Average Convergence Divergence): An indicator to reveal changes in strength, direction, momentum, and duration of a trend. Bollinger Bands: Upper and lower bands around a stock price to measure volatility. Sentiment Analysis:

Sentiment Score: Simulated sentiment derived from financial news and social media, ranging from -1 (negative) to 1 (positive). Macroeconomic Factors:

GDP Growth: Indicates the overall health and growth of the economy. Inflation Rate: Reflects changes in purchasing power and economic stability. Target Variable:

Buy/Sell Signal: Binary classification (1 = Buy, 0 = Sell) based on price movement thresholds, simulating actionable trading decisions. Use Cases AI Model Training: Ideal for building stock prediction models using LSTM, Gradient Boosting, Random Forest, etc. Trading Strategy Optimization: Enables testing of trading algorithms and strategies in a simulated environment. Sentiment Analysis Research: Useful for understanding how sentiment influences stock movements. Feature Engineering and Selection: Provides a diverse set of features for experimentation with advanced techniques like PCA and LDA. Dataset Highlights Synthetic Yet Realistic: Carefully designed to mimic real-world financial data trends and relationships. Comprehensive Coverage: Includes key indicators and metrics used by traders and analysts. Scalable: Suitable for use in both small-scale academic projects and larger AI-driven trading platforms. Accessible for All Levels: The intuitive structure ensures that even beginners can utilize this dataset for financial machine learning applications. File Format The dataset is provided in CSV format, where:

Rows represent individual trading days. Columns represent features (technical indicators, market metrics, etc.) and the target variable. Acknowledgments This dataset is synthetically generated and is intended for research and educational purposes. It is not based on real market data and should not be used for actual trading.

In 2024, the average price-to-book (P/B) ratio of stocks on the Prime Market of the Tokyo Stock Exchange (TSE) in Japan was ***. The average P/B ratio of stocks on the Standard Market was ***.

Employment, high-skilled employment, inactivity and unemployment rates by graduate type (postgraduates, graduates and non-graduates) from 2007-2023.

This data comprises the data utilised in the analysis of the above titled manuscript.

Poland PL: Money Market Rate data was reported at 1.575 % pa in 2017. This records an increase from the previous number of 1.553 % pa for 2016. Poland PL: Money Market Rate data is updated yearly, averaging 5.719 % pa from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 54.300 % pa in 1990 and a record low of 1.553 % pa in 2016. Poland PL: Money Market Rate data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Poland – Table PL.IMF.IFS: Money Market and Policy Rates: Annual.

The US Certificate of Deposit Market was valued at USD 212,125 Million in 2024 and is projected to grow to USD 257,305 Million by 2030, with a compound annual growth rate (CAGR) of 3.1% from 2025 to 2030.