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 2023, Peru was expected to be the fastest-growing digital advertising market in the world, with an annual growth rate of about ** percent. Argentina and Chile rounded out the top three with annual increases of approximately ** and ** percent, respectively. Digital advertising in Latin America Based on the latest projections, five of the ** fastest-growing digital ad markets will be in Latin America in 2023. While traditional media channels still have a firm grip over the region’s advertising landscape due to media consumption habits and infrastructural hurdles, there has been a steady shift towards digital approaches in recent years. In 2022, internet advertising spending in Latin America was expected to reach roughly **** billion U.S. dollars, more than twice the amount that was invested in 2018. Interestingly, social media is set to draw the largest share of expenditures and outperform search in the running for the top digital advertising format in Latin America and the Caribbean. What are the top digital advertising markets worldwide? Data on the global distribution of internet advertising spending shows that North America and the Asia-Pacific region remain the largest spenders, with the United States setting the pace. And yet, forecasts also suggest that the most prominent players will see their market shares decline in the following years. Smaller fish such as Latin America or the Middle East and Africa (MENA), which currently represent less than *** percent of global digital ad spend, are set to slowly but steadily leverage their massive growth potential in the future.

Graph and download economic data for Stock Market Total Value Traded to GDP for Czech Republic (DDDM02CZA156NWDB) from 1993 to 2020 about Czech Republic, market cap, stock market, trade, and GDP.

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China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

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According to a data published in 2025, South Africa has the highest share of adults who listened to podcast for at least one hour per week. Roughly two in three respondents stated to do so. Markets, such as Saudi-Arabia, the United Arab Emirates, Indonesia, Thailand, and India, also reached a share of over 50 percent in weekly podcast listeners.

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Financial Data Services Market size was valued at USD 23.3 Billion in 2023 and is projected to reach USD 42.6 Billion by 2031, growing at a CAGR of 8.1% during the forecast period 2024-2031.Global Financial Data Services Market DriversThe market drivers for the Financial Data Services Market can be influenced by various factors. These may include:The need for real-time analytics is growing: Real-time analytics are becoming more and more necessary in the financial sector due to the acceleration of data consumption. To reduce risks, make wise decisions, and enhance customer service, organizations need quick insights. Stakeholders are giving priority to solutions that enable quick data processing and analysis due to the increase in market volatility and complexity. The need for sophisticated analytical skills is driving providers of financial data services to modernize their products. As companies come to realize that using real-time data is crucial for keeping a competitive edge in a fast-paced financial climate, the competition among them to provide timely insights also boosts market growth.Growing Machine Learning and AI Adoption: Data analysis has been profoundly changed by the incorporation of AI and machine learning technology into financial data services. By enabling predictive analytics, these technologies help financial organizations make better decisions and reduce risk. Businesses can find trends that were previously invisible by automating data processing operations. This leads to more precise forecasts and improved investment plans. Furthermore, sophisticated algorithms are flexible enough to adjust to shifting circumstances, keeping organizations flexible. The increasing intricacy of financial markets necessitates the use of AI and machine learning, which in turn drives demand for sophisticated financial data services and promotes innovation in the sector.Global Financial Data Services Market RestraintsSeveral factors can act as restraints or challenges for the Financial Data Services Market. These may include:Difficulties in Regulatory Compliance: Regulations controlling data management, privacy, and financial transactions place heavy restrictions on the financial data services market. Regulations like the GDPR, CCPA, and banking industry standards like Basel III and SOX must all be complied with by organizations. Complying with these requirements frequently necessitates a significant investment in staff and compliance systems, which can be taxing, especially for smaller businesses. Regulations are dynamic, and different locations have different needs, which adds to the complexity and expense. Noncompliance not only results in monetary fines but also has the potential to harm an entity's image, so impeding market expansion.Dangers to Data Security: Threats to data security are a major impediment to the financial data services market. Because they manage sensitive data, financial institutions are often the targets of cyberattacks. Breach can lead to significant monetary losses, legal repercussions, and long-term harm to one's image. Although they can greatly increase operating expenses, investments in strong security measures like encryption, safe access protocols, and continual monitoring are crucial. Moreover, the dynamic strategies employed by cybercriminals need continuous adjustment, placing a burden on resources and detracting from the main operations of businesses. The evolution of security threats poses a challenge to preserving consumer trust, hence impeding industry expansion.

In 2023, Russia ranked first in the world by data breach density. The number of breached e-mail accounts per thousand people in the country amounted to ***. The United States ranked second, with *** user accounts, while Czechia followed, with *** accounts. The data breach density in Denmark, Switzerland, and Italy was relatively lower.

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Czech Republic Equity Market Index: USD data was reported at 140.631 2010=100 in Apr 2025. This records an increase from the previous number of 137.949 2010=100 for Mar 2025. Czech Republic Equity Market Index: USD data is updated monthly, averaging 69.106 2010=100 from Sep 1993 (Median) to Apr 2025, with 380 observations. The data reached an all-time high of 160.265 2010=100 in May 2008 and a record low of 13.924 2010=100 in Sep 2001. Czech Republic Equity Market Index: USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Czech Republic – Table CZ.World Bank.GEM: Equity Market Index. Local equity market index valued in US$ terms

Poland - Debt sec, issued by residents, in all markets at all original maturities denominated in all currencies at market value stocks

Chile CL: Market Capitalization: Listed Domestic Companies data was reported at 285.232 USD bn in 2022. This records an increase from the previous number of 259.527 USD bn for 2021. Chile CL: Market Capitalization: Listed Domestic Companies data is updated yearly, averaging 155.456 USD bn from Dec 1991 (Median) to 2022, with 32 observations. The data reached an all-time high of 407.583 USD bn in 2019 and a record low of 28.138 USD bn in 1991. Chile CL: Market Capitalization: Listed Domestic Companies data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.;World Federation of Exchanges database.;Sum;Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Graph and download economic data for Rest of the World; Foreign Corporate Equities Including Foreign Investment Fund Shares; Liability, Market Value Levels (BOGZ1LM263164100Q) from Q4 1945 to Q2 2025 about market value, foreign, equity, liabilities, and investment.

BCC Research Market Report says laboratory automation systems and processes is valued at $11.9 billion in 2021 and is estimated to grow from $12.7 billion in 2022 to $18.7 billion in 2027.

Graph and download economic data for Stock Market Total Value Traded to GDP for Latvia (DDDM02LVA156NWDB) from 1995 to 2004 about Latvia, market cap, stock market, trade, and GDP.

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