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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.
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TwitterAs of early 2025, companies in the information technology sector made up ** percent of the total market capitalization of all stock exchanges worldwide. Tech companies worldwide had a combined market capitalization of approximately ** trillion U.S. dollars. The second largest sector on stock markets worldwide was the financial services industry, with a market cap of ** trillion U.S. dollars, followed by the industrials sector with ** trillion U.S. dollars. On the other hand, real estate and utilities were the least represented sectors on stock markets worldwide.
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TwitterAs of early 2025, companies in the information technology sector made up ** percent of the total market capitalization of all stock exchanges worldwide. The second largest sector on stock markets worldwide was the financial services industry, accounting for ** percent of the total, followed by the industrials sector with ** percent. On the other hand, real estate and utilities were the least represented sectors on stock markets worldwide, accounting for ***** percent of total market capitalization, respectively.
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This dataset contains market data from various countries, organized into a hierarchical structure. It includes information such as share prices, trading volumes, market capitalization, and industry classifications.
The dataset is organized as follows:
Each country folder likely contains specific market data for companies within that region.
The dataset includes the following fields:
This dataset can be used for various purposes, including: - Market analysis - Comparative studies across different countries - Industry sector analysis - Investment research
Please ensure you have the necessary permissions and comply with all relevant data usage regulations when using this dataset.
For the latest version and updates to this dataset, please check the source regularly.
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The average for 2022 based on 75 countries was 1225.97 billion U.S. dollars. The highest value was in the USA: 40297.98 billion U.S. dollars and the lowest value was in Bermuda: 0.21 billion U.S. dollars. The indicator is available from 1975 to 2024. Below is a chart for all countries where data are available.
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At Twelve Data we feel responsible for where the markets are going and how people are able to explore them. Coming from different technological backgrounds, we see how the world is lacking the unique and simple place where financial data can be accessed by anyone, at any time. This is what distinguishes us from others, we do not only supply the financial data but instead, we want you to benefit from it, by using the convenient format, tools, and special solutions.
We believe that the human factor is still a very important aspect of our work and therefore our ethics guides us on how to treat people, with convenient and understandable resources. This includes world-class documentation, human support, and dedicated solutions.
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TwitterThe New York Stock Exchange (NYSE) is the largest stock exchange in the world, with an equity market capitalization of almost ** trillion U.S. dollars as of November 2025. The following largest three exchanges were the NASDAQ, PINK Exchange, and the Frankfurt Exchange. What is a stock exchange? A stock exchange is a marketplace where stockbrokers, traders, buyers, and sellers can trade in equities products. The largest exchanges have thousands of listed companies. These companies sell shares of their business, giving the general public the opportunity to invest in them. The oldest stock exchange worldwide is the Frankfurt Stock Exchange, founded in the late sixteenth century. Other functions of a stock exchange Since these are publicly traded companies, every firm listed on a stock exchange has had an initial public offering (IPO). The largest IPOs can raise billions of dollars in equity for the firm involved. Related to stock exchanges are derivatives exchanges, where stock options, futures contracts, and other derivatives can be traded.
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Description: The "Global Stock Price Archive" is a comprehensive dataset that provides a historical record of stock prices from a wide range of stock markets across the globe. This dataset is a valuable resource for researchers, investors, and analysts seeking to analyze trends, perform financial research, or develop trading strategies. Multi-Market Coverage: Historical stock price data from major stock exchanges worldwide, such as the New York Stock Exchange (NYSE), NASDAQ, London Stock Exchange (LSE), Tokyo Stock Exchange (TSE), and many others.
Time Series Data: Daily, weekly, or monthly stock price information over a significant timeframe, allowing users to track the performance of individual stocks or market indices.
Ticker Symbols: Ticker symbols or stock codes for easy identification of individual companies or securities.
Open, Close, High, Low Prices: Detailed pricing information, including opening prices, closing prices, daily highs, and lows.
Volume and Trading Data: Trading volumes, bid-ask spreads, and other relevant trading statistics.
Adjustments: Adjusted prices to account for factors like dividends, stock splits, and other corporate actions.
Data Formats: The dataset may be available in various formats, such as CSV, Excel, or API access, to accommodate different user needs
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TwitterThe value of global domestic equity market increased from ***** trillion U.S. dollars in 2013 to ****** trillion U.S. dollars in 2024. The United States was by far the leading country with the largest share of total world stocks as of 2024. Global market capitalization in different regions The market capitalization of domestic companies listed varied across different regions of the world. As of Decmber 2024, the Americas region had the largest domestic equity market, totaling ** trillion U.S. dollars. This region is home to the NYSE and Nasdaq, which are the two largest stock exchange operators in the world. The market capitalization of these two exchanges alone exceeded ** billion U.S. dollars as of January 2025, larger than the total market capitalization in the Asia-Pacific, and in the EMEA regions in the same period. Largest Stock Exchanges in Latin America As of December 2024, the B3 (Brasil Bolsa Balcao) was the biggest stock exchange in Latin America in terms of market capitalization and the second-largest in terms of number of listed companies. Following the B3 were the Mexican Stock Exchange and the Santiago Stock Exchange in Chile. The most valuable company in Latin America is listed on the Mexican Stock Exchange: Fomento Económico Mexicano, a multinational beverage and retail company headquartered in Monterrey, had a market cap of *** billion U.S. dollars as of March 2025.
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WSP Global stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.
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United States US: Stocks Traded: Total Value data was reported at 39,785.881 USD bn in 2017. This records a decrease from the previous number of 42,071.330 USD bn for 2016. United States US: Stocks Traded: Total Value data is updated yearly, averaging 17,934.293 USD bn from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 47,245.496 USD bn in 2008 and a record low of 1,108.421 USD bn in 1984. United States US: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. 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.
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The average for 2022 based on 74 countries was 34.95 percent. The highest value was in Hong Kong: 794.22 percent and the lowest value was in Azerbaijan: 0 percent. The indicator is available from 1975 to 2022. Below is a chart for all countries where data are available.
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Technavio’s market research analysts have estimated the global stock market software industry to grow moderately at a CAGR of above 8% by 2020. This market research study identifies the rising number of FTAs (free trade agreement) between emerging nations to be one of the primary drivers for this market. By simplifying procedures, these agreements improve transit times and the efficiency of business operations. Moreover, these agreements also help to remove complicated regulatory barriers, reduce trade tariffs, and assist in improving the investment environment of both parties in the agreement. These features have subsequently increased the demand for FTAs and will foster the growth prospects for this market during the forecast period.
The shift from traditional methods to open accounts is considered to be one of the major trends that will fuel the industry’s growth in the next four years. Factors such as reduced costs and improvements in efficiencies have prompted buyers and sellers to switch from letters of credits to open accounts. To meet this demand, banks have been compelled to improve their efficiency and reduce their reduce operational costs. Additionally, the adoption of bank payment obligations will also help to spur market growth as it provides a level of security that is not possible with pure open account transactions.
Segmentation by end user and analysis of the stock market software industry
Financials
Consumer goods
Industrials
Technology
Consumer services
Telecommunications
Healthcare
Basic materials
Oil and gas
Utilities
This industry research report identifies that the financials segment dominated the stock market software industry in 2015, accounting for almost 23% of the total market share. This market segment includes various sub-segments such as retail banking, cash management, and insurance agencies. The presence of companies that provide specialized financial services like security brokering, investment services, and commodity exchanges will contribute to the growth of this market segment during the forecast period.
Geographical segmentation and analysis of the stock market software industry
Americas
APAC
EMEA
In this market study, analysts have estimated that EMEA will dominate the global stock market software industry during the forecast period. Accounting for approximately 40% of the total market share in 2015, the introduction and adoption of the stock market software in different European languages will further increase the growth of this industry. Factors such as the higher adoption of this software among end users in the financial sector and the rising implementation of this software in local trade organizations will further lead to the growth of the market.
Competitive landscape and key vendors
Though competitive, the global stock market software industry is still in its growth phase. Regular investments from big vendors to acquire small vendors has compelled manufacturers to distinguish their product and service offerings through clear and unique value propositions. A rise in the number of new product and service offerings, new acquisitions, and technological advancements are likely to intensify the level of competition in the next four years.
The leading vendors in the market are -
Corporate Trading
Innovative Market Analysis
Interactive Data
Monex
Ninja Trader
VectorVest
Worden Brothers
The other prominent vendors in the stock market software industry are AbleSys, Alyuda Research, Bloombex Options, EquityFeed Workstation, Genesis Financial, Global Futures Exchange & Trading, INO, Interactive Brokers, Analyst International, MultiCharts, Muriel Siebert, OptionsHouse, ProfitSource, ThinkorSwim, Tradecision, and Wave59.
Key questions answered in the report include
What will the market size and the growth rate be in 2020?
What are the key factors driving the global stock market software industry?
What are the key market trends impacting the growth of the global stock market software industry?
What are the challenges to market growth?
Who are the key vendors in the global stock market software industry?
What are the market opportunities and threats faced by the vendors in the global stock market software industry?
Trending factors influencing the market shares of the Americas, APAC, and EMEA.
What are the key outcomes of the five forces analysis of the global stock market software industry?
Technavio also offers customization on reports based on specific client requirement.
Related reports
Global Trade Finance Market 2015-2019
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Graph and download economic data for Stock Market Capitalization to GDP for United States (DDDM01USA156NWDB) from 1975 to 2020 about market cap, stock market, capital, GDP, and USA.
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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.
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Germany Stock Market Expectation: Japan data was reported at 37.500 % in Mar 2021. This records a decrease from the previous number of 37.800 % for Feb 2021. Germany Stock Market Expectation: Japan data is updated monthly, averaging 34.600 % from Dec 1991 (Median) to Mar 2021, with 352 observations. The data reached an all-time high of 74.600 % in Dec 1999 and a record low of -8.200 % in Jun 2020. Germany Stock Market Expectation: Japan data remains active status in CEIC and is reported by Leibniz Centre for European Economic Research. The data is categorized under Global Database’s Germany – Table DE.S001: Indicator of Economic Sentiment: ZEW.
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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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This dataset is about book subjects. It has 1 row and is filtered where the books is Global stock markets : a strategic guide. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
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TwitterWhile the global coronavirus (COVID-19) pandemic caused all major stock market indices to fall sharply in March 2020, both the extent of the decline at this time, and the shape of the subsequent recovery, have varied greatly. For example, on March 15, 2020, major European markets and traditional stocks in the United States had shed around ** percent of their value compared to January *, 2020. However, Asian markets and the NASDAQ Composite Index only shed around ** to ** percent of their value. A similar story can be seen with the post-coronavirus recovery. As of November 14, 2021 the NASDAQ composite index value was around ** percent higher than in January 2020, while most other markets were only between ** and ** percent higher. Why did the NASDAQ recover the quickest? Based in New York City, the NASDAQ is famously considered a proxy for the technology industry as many of the world’s largest technology industries choose to list there. And it just so happens that technology was the sector to perform the best during the coronavirus pandemic. Accordingly, many of the largest companies who benefitted the most from the pandemic such as Amazon, PayPal and Netflix, are listed on the NADSAQ, helping it to recover the fastest of the major stock exchanges worldwide. Which markets suffered the most? The energy sector was the worst hit by the global COVID-19 pandemic. In particular, oil companies share prices suffered large declines over 2020 as demand for oil plummeted while workers found themselves no longer needing to commute, and the tourism industry ground to a halt. In addition, overall share prices in two major stock exchanges – the London Stock Exchange (as represented by the FTSE 100 index) and Hong Kong (as represented by the Hang Seng index) – have notably recovered slower than other major exchanges. However, in both these, the underlying issue behind the slower recovery likely has more to do with political events unrelated to the coronavirus than it does with the pandemic – namely Brexit and general political unrest, respectively.
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Stock Analysis Software Market size was valued at USD 145.6 Million in 2024 and is projected to reach USD 450.68 Million by 2032, growing at a CAGR of 15.17% during the forecast period 2026-2032.Growing Retail Investor Participation: The Indian stock market has witnessed an unprecedented surge in retail investor participation. With the advent of user-friendly trading platforms, such as Zerodha, Groww, and Upstox, and the reduction of traditional barriers like high fees and the introduction of fractional shares, more individuals are now able to enter the market.Demand for Real-Time Data and Analytics: In today's fast-paced financial world, the need for real-time data and analytics is paramount. Investors, from seasoned professionals to burgeoning retail participants, require up-to-the-minute information on stock prices, breaking news, and crucial technical indicators to capitalize on fleeting opportunities.
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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.