As of April 10, 2025, tech giants Apple, Microsoft, Nvidia, Alphabet (Google), and Amazon dominated the S&P 500 index and were among only eight companies with a market capitalization exceeding *** ******** U.S. dollars in the U.S.

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.

Global Stock Market Financial Dataset (from TradingView)

This collection provides a comprehensive snapshot of over 11,800 publicly traded companies worldwide. It combines multiple financial statements and performance indicators extracted from TradingView to support data analysis, stock screening, and financial modeling.

Files Overview

1.tradingview_all_stocks.csv Contains general stock information and market statistics.

Columns: ticker, name, close, change, change_abs, volume, market_cap_basic, price_earnings_ttm, sector, industry Size: 11,806 rows × 10 columns Description: Lists all active stocks with latest prices, PE ratios, and sector/industry classifications.

2.tradingview_performance.csv Tracks short- and long-term stock performance.

Columns (sample): ticker, name, close, Perf.W, Perf.1M, Perf.3M, Perf.6M, Perf.YTD, Perf.1Y, Perf.5Y, etc. Size: 11,814 rows × 17 columns Description: Shows relative percentage performance across multiple timeframes.

3.balance_sheet.csv Summarizes financial position and liquidity metrics.

Columns: total_assets_fq, cash_n_short_term_invest_fq, total_liabilities_fq, total_debt_fq, net_debt_fq, total_equity_fq, current_ratio_fq Size: 11,821 rows × 12 columns Description: Includes key balance sheet values, enabling leverage and liquidity analysis.

4.cashflow.csv Focuses on company cash generation and sustainability.

Columns: free_cash_flow_ttm Size: 11,821 rows × 4 columns Description: Provides trailing twelve-month free cash flow figures for profitability evaluation.

5.dividends.csv Details dividend-related statistics.

Columns: dividends_yield, dividend_payout_ratio_ttm Size: 11,823 rows × 5 columns Description: Useful for income-focused investors; includes dividend yields and payout ratios.

6.income_statement.csv Presents company earnings metrics.

Columns: total_revenue_ttm, gross_profit_ttm, net_income_ttm, ebitda_ttm Size: 11,821 rows × 7 columns Description: Captures profitability over the last 12 months for revenue and margin analysis.

7.profitability.csv Shows margin-based performance indicators.

Columns: gross_margin_ttm, operating_margin_ttm, net_margin_ttm, ebitda_margin_ttm Size: 11,823 rows × 7 columns Description: Enables efficiency and operational performance comparisons across companies.

Use Cases 1. Stock market and financial analysis 2. Portfolio optimization and factor modeling 3. Machine learning for price prediction 4. Company benchmarking and screening 5. Academic or educational use in finance courses

Data Source & Notes 1. All data was aggregated from TradingView using public financial data endpoints. 2. Missing values may occur for companies that do not report certain metrics. 3. All monetary figures are based on the latest available TTM (Trailing Twelve Months) or FQ (Fiscal Quarter) data at the time of extraction.

Canada CA: Market Capitalization: Listed Domestic Companies data was reported at 2,744.720 USD bn in 2022. This records a decrease from the previous number of 3,264.137 USD bn for 2021. Canada CA: Market Capitalization: Listed Domestic Companies data is updated yearly, averaging 910.231 USD bn from Dec 1977 (Median) to 2022, with 45 observations. The data reached an all-time high of 3,264.137 USD bn in 2021 and a record low of 173.942 USD bn in 1977. Canada CA: 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 Canada – Table CA.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.

The NYSE U.S. 100 Index tracks the largest U.S. companies traded on the New York Stock Exchange. This statistic shows the leading 20 companies on the NYSE U.S. 100 Index by market capitalization. As of January 28, 2024 the multinational conglomerate company ****************** ranked as the first, with a market capitalization of over *** billion euros. This was followed by ********* and ***************, with market capitalizations amounting to *** billion and *** billion euros respectively. NYSE U.S. 100 Index vs. Nasdaq 100 Index The New York Stock Exchange and the Nasdaq are the largest two stock exchanges in the world, but they differ in the kinds of companies they list. The NYSE is known to list stable and long-lasting firms, commonly referred to as “blue-chip” companies. In contrast, the Nasdaq is renowned for listing the world’s biggest companies, mainly from the tech industry. Similar to the NYSE U.S. 100 Index, the Nasdaq 100 Index tracks the 100 largest non-financial companies listed on the Nasdaq exchange, including both U.S. and non-U.S. companies. The leader of the NYSE U.S. 100 index: Berkshire Hathaway Berkshire Hathaway, the leader of the NYSE U.S. 100 Index, was also among the world's largest companies by revenue in 2023. The company is a multinational conglomerate and holding company with insurance as its core business and interests in other sectors such as railroad, utilities and energy, finance. In fact, Berkshire was the world's biggest insurance company by revenue in 2023. As a holding company, it has significant stakes in some of the world’s largest companies, including Apple, Bank of America and Coca-Cola. With its diverse background in various businesses and industries, Berkshire Hathaway had a total revenue of *** billion U.S. dollars in 2023.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for Switzerland (DDAM02CHA156NWDB) from 1998 to 2018 about market cap, Switzerland, companies, and stock market.

In this dataset i have provided daily stock market data of top 900+ companies on the basis of valuation. which contains valuable feature like high price of the stock on a specific date, low price, close price, volume traded, opening price of stock on a particular date, is any stock splitting happened if yes then in which ratio and the dividend announce by the company. This data is good for analysis of the finding hidden stock pattern, finding a strategy for investing in the market.

Columns of the dataset

Date - Date of the trading day

Open - Opening price of the stock on that particular date

High - High price of the stock on that particular date

Low - Low price of the stock on that particular date

Close - Closing price of the stock on that particular date

Volume - Volume traded on that trading day

Dividends - Dividend provided by the company on particular trading day

Stock splitting - Stocks splitting done by the company on a particular trading day

What you can do with this dataset -

• You can analyze the trends
• You can make strategy based on the hidden pattern
• You can make a stock price prediction model
• You can apply your own made trading strategy
• You can apply different different indicators on the data and can check your strategy

With a market capitalization of approximately 54 billion euros as of the end of Februrary 2023, the largest company on the Milan Stock Exchange was Enel, the world’s second largest electricity company. This is followed by Stellantis, with a market capitalization of over 53 billion euros. Italy’s most recognizable companies Italy is home to some of the most recognizable brands in the world. One of the largest companies on the Milan Stock Exchange is the luxury carmaker Ferrari – although high share price is perhaps based more on their brand identity than their underlying sales, given Ferrari’s global revenue is many times lower than the revenue of the world’s largest car manufacturers. Also among Italy’s largest companies is drinks manufacturer Campari. Aside from their titular liqueur, Campari’s brands also include well-known alcoholic drinks like Frangelico, Grand Marnier and Wild Turkey. The Milan Stock Exchange Otherwise known as the Borsa Italiana, the Milan Stock Exchange was recently acquired by Euronext, who are the fourth largest stock exchange operator in the world. Taken alone, the listed companies on the Borsa Italiana have a total market capitalization of around 607.3 billion euros. Two main markets comprise the Borsa Italiana:

the Mercato Telematico Azionario (MTA), which is the segment for mid- and large-size companies; and the AIM Italia, which was established in 2009 to cater for high growth small and medium enterprises needing more flexibility around the reporting and governance requirements.

Actual value and historical data chart for China Market Capitalization Of Listed Companies Us Dollar

Context

Financial Times recently shared a very interesting article on the health of the companies during the current pandemic. It put together a list of 100 companies that added market capital irrespective of the current loom in the economy.

It'll be interesting to see which company has prospered and gained and managed to lead the stock market.

Acknowledgements

• "https://www.ft.com/content/844ed28c-8074-4856-bde0-20f3bf4cd8f0#comments-anchor">Prospering in the pandemic: the top 100 companies

All rights reserved with FT.com. The data has been put here only for educational purposes.

The Supply Chain Big Data Analytics Market Report is Segmented by Component (Solution, Service), End User Industry (Retail, Transportation and Logistics, Manufacturing, Healthcare, Other End-User Industries), Deployment Model (On-Premise, Cloud), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Actual value and historical data chart for Iran Market Capitalization Of Listed Companies Us Dollar

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for Argentina (DDAM02ARA156NWDB) from 1998 to 2017 about market cap, Argentina, companies, and stock market.

Greece GR: Market Capitalization: Listed Domestic Companies: % of GDP data was reported at 25.266 % in 2017. This records an increase from the previous number of 19.286 % for 2016. Greece GR: Market Capitalization: Listed Domestic Companies: % of GDP data is updated yearly, averaging 34.131 % from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 83.191 % in 2007 and a record low of 11.737 % in 2011. Greece GR: Market Capitalization: Listed Domestic Companies: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greece – Table GR.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.; ; World Federation of Exchanges database.; Weighted average; 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.

Market capitalization of listed domestic companies (% of GDP) in Czech Republic was reported at 10.03 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Czech Republic - Market capitalization of listed companies (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Actual value and historical data chart for Kazakhstan Market Capitalization Of Listed Companies Percent Of GDP

The market capitalization of listed domestic companies in Colombia nearly halved between 2019 and 2023, decreasing to a value of ** billion U.S. dollars.Market capitalization is the total value of all outstanding shares of a company at the current market price. Investors and analysts use it commonly to compare and categorize the size of companies.

Photo by Maxim Hopman on Unsplash.

Introduction

According to Economatica, a company specializing in the Latin American stock market, the Brazilian stock exchange market, governed by Brasil, Bolsa, Balcão (B3), exchanged BRL ~25.9 billion per day in the first half of 2020, during the coronavirus epidemic. Furthermore, it is estimated that in this same period there was an 18% growth in the number of Brazilian investors, totaling ~2.6 million active investors. Therefore, the financial market moves a large amount of values and, consequently, produces a vast amount of information and data daily; These data represent the movements of shares, their respective prices, dollar exchange values, and so on. This dataset contains daily stock values and information about their companies.

Inspiration

• Data Analysis - Spark
• Price Prediction - Regression task
• Best Group of Stocks - Association Rules task

This dataset provides an environment (Data Warehouse-like) for analysis and visualization of financial business for users of decision support systems. Specifically, the data allow compare different assets (i.e. stocks) listed on B3, according to the sectors of the economy in which these assets operate. For example, with this Data Warehouse, the user will be able to answer questions similar to this one: What are the most profitable sectors for investment in a given period of time? In this way, the user can identify which are the sectors that are standing out, as well as which are the most profitable companies in the sector.

Dataset

https://i.imgur.com/28Mf0sN.png" alt="Data Warehouse">

This dataset is split into five files: - dimCoin.csv - Dimension table with information about the coins. - dimCompany.csv - Dimension table with information about the companies. - dimTime.csv - Dimension table with information about the datetime. - factCoins.csv - Fact table with coin value over time. - factStocks.csv - Fact table with stock prices over time.

Source

The data were available by B3. You can access in https://www.b3.com.br/en_us/market-data-and-indices/ .I just structure and model the data as Data Warehouse tables. You can access my code in https://github.com/leomaurodesenv/b3-stock-indexes

Techsalerator's Corporate Actions Dataset in Sri Lanka offers a comprehensive collection of data fields related to corporate actions, providing valuable insights for investors, traders, and financial institutions. This dataset includes crucial information about the various financial instruments of all 289 companies traded on the Colombo Stock Exchange (XCOL).

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Top 5 used data fields in the Corporate Actions Dataset for Sri Lanka:

• Dividend Declaration Date: The date on which a company's board of directors announces the dividend payout to its shareholders. This information is crucial for investors who rely on dividends as a source of income.

• Stock Split Ratio: The ratio by which a company's shares are split to increase liquidity and affordability. This field is essential for understanding changes in share structure.

• Merger Announcement Date: The date on which a company officially announces its intention to merge with another entity. This field is crucial for investors assessing the impact of potential mergers on their investments.

• Rights Issue Record Date: The date on which shareholders must be on the company's books to be eligible for participating in a rights issue. This data helps investors plan their participation in fundraising events.

• Bonus Issue Ex-Date: The date on which a company's shares start trading without the value of the bonus issue. This information is vital for investors to adjust their portfolios accordingly.

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Top 5 corporate actions in Sri Lanka:

Equity Issuances: Sri Lankan companies often engage in equity issuances such as initial public offerings (IPOs) or rights issues to raise capital for expansion and growth.

Mergers and Acquisitions (M&A): Corporate actions related to mergers, acquisitions, and takeovers play a role in shaping industry landscapes and consolidation in Sri Lanka.

Foreign Direct Investment (FDI): Corporate actions involving foreign investment and joint ventures contribute to economic growth and international collaboration in various sectors.

Debt Issuances: Sri Lankan businesses may issue bonds or other debt instruments to raise funds for capital investments and operational needs.

Dividend Declarations: Companies often announce dividends to distribute profits to shareholders, reflecting financial performance and commitment to shareholder value.

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Top 5 financial instruments with corporate action Data in Sri Lanka

Colombo Stock Exchange (CSE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Colombo Stock Exchange. This index would provide insights into the performance of the Sri Lankan stock market.

Colombo Stock Exchange (CSE) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Colombo Stock Exchange. This index would give an overview of foreign business involvement in Sri Lanka.

LankaMart: A Sri Lanka-based supermarket chain with operations in multiple regions. LankaMart focuses on offering high-quality products and services to local and international customers.

Inclusive Finance Lanka: A financial services provider with operations across various markets, including Sri Lanka. Inclusive Finance Lanka emphasizes financial inclusion and access to services for underserved populations.

GreenSeed Lanka: A leading producer and distributor of sustainable agricultural products and certified crop seeds in various countries, including Sri Lanka. GreenSeed Lanka contributes to Sri Lanka's commitment to sustainability and responsible agricultural practices.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Sri Lanka, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Dividend Declaration Date Stock Split Ratio Merger Announcement Date Rights Issue Record Date Bonus Issue Ex-Date Stock Buyback Date Spin-Off Announcement Date Dividend Record Date Merger Effective Date Rights Issue Subscription Price ‍

Q&A:

How much does the Corporate Actions Dataset cost in Sri Lanka?

The cost of the Corporate Actions Dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

How complete is the Corporate Actions Dataset coverage in Sri Lanka?

Techsalerator provides comprehensive coverage of Corporate Actions Data for various companies and securities traded on the Sri Lanka Stock Exchange. The dataset encompasses major corporate actions announced by entities in the Sri Lanka market.

How does Techsale...