This dataset has been created via Web Scraping with Selenium. It has 614 rows and 35 columns.

The dataset provides trading and tecnical analysis information for different coins for the publication date.

Explore how TradingView provides powerful tools and community insights for analyzing wheat prices, using real-time data and technical indicators to make informed trading decisions amid volatile market conditions.

Explore the historical Whois records related to tradingview.guru (Domain). Get insights into ownership history and changes over time.

Explore the historical Whois records related to www-tradingview.com (Domain). Get insights into ownership history and changes over time.

TradingView Ideas Dataset

This dataset contains trading ideas and analysis sourced from TradingView, split into training and testing datasets for machine learning purposes. It includes both image data (chart screenshots) and associated textual descriptions.

  Dataset Structure





  Root Folder Contents

train.zip: Compressed folder containing training data (images and JSON split). test.zip: Compressed folder containing testing data (images and JSON split).… See the full description on the dataset page: https://huggingface.co/datasets/DiljitSingh14/tradingIdeas.

Explore how TradingView offers comprehensive tools for analyzing corn prices, crucial for traders and investors in agricultural commodities, including real-time data, technical indicators, and a community sharing insights.

The virtual trading app market, valued at $284 million in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 6.5% from 2025 to 2033. This expansion is driven by several key factors. Increased accessibility to financial markets through smartphones and tablets has democratized investing, making virtual trading platforms an attractive entry point for novice and experienced traders alike. The gamified nature of many apps, coupled with risk-free simulated trading environments, makes learning about finance and investing engaging and less intimidating. Furthermore, the rising popularity of online financial education and the growing demand for sophisticated trading tools accessible on mobile devices are fueling market growth. The market segmentation reveals a strong presence across both personal and enterprise applications, with iOS and Android platforms dominating the app landscape. Competitive dynamics are intense, with established players like Investopedia and TradingView alongside a plethora of specialized apps catering to diverse user needs and risk appetites. Regional analysis suggests North America and Asia Pacific will be key growth drivers. The substantial user base and technological advancements in these regions are creating a fertile ground for market expansion. However, regulatory hurdles and concerns around data security could pose challenges. Future growth will likely depend on continued innovation in app features, user experience enhancements, integration with other financial services, and effective marketing strategies to reach a wider audience. The increasing sophistication of these apps, incorporating features like algorithmic trading simulations and advanced charting tools, will cater to a broader range of user skill levels, further driving market penetration and value creation. Competition amongst app developers will remain fierce, pushing them to continually innovate and offer unique value propositions to maintain a competitive edge.

The social trading network platform market is experiencing robust growth, driven by increasing retail investor participation in online trading and the demand for simplified, accessible investment strategies. The ease of copying successful traders' portfolios, coupled with the educational resources many platforms provide, lowers the barrier to entry for novice investors and appeals to those seeking risk mitigation through diversification. While precise market sizing is unavailable, considering the current market trends and the growth trajectory of fintech, a reasonable estimation for the 2025 market size could be around $2.5 billion, based on reasonable assumptions of average transaction values and platform usage growth. A Compound Annual Growth Rate (CAGR) of 15% over the forecast period (2025-2033) is plausible, given the expanding user base and continuous technological improvements within the sector. This growth is fueled by increasing mobile usage, the rise of sophisticated algorithmic trading strategies replicated through social platforms, and the ongoing integration of artificial intelligence (AI) and machine learning (ML) for enhanced risk management and portfolio optimization. However, regulatory scrutiny, cybersecurity concerns, and the inherent risks associated with mimicking trading strategies are significant restraints. The market is highly competitive, with established players like ZuluTrade and TradingView vying for market share alongside newer entrants such as Covesting and TradeCrowd. Segmentation within the market exists across platform features (e.g., copy trading, signal provision, social forums), target audience (beginners, experienced traders), and geographical regions. North America and Europe currently dominate the market, but Asia-Pacific is anticipated to witness substantial growth in the coming years as retail investor adoption in these regions increases. The success of individual platforms hinges on providing a user-friendly experience, strong risk management tools, transparent reporting, and robust customer support. Continued innovation in features and a proactive approach to regulatory compliance will be key determinants of long-term market leadership.

General

The dataset contains government bond prices and yields of 30 countries from 6 world regions (Americas, Europe, Asia, Pacific, Middle East, Africa) in the range of 1970 to 2020.

The data was collected on TradingView and splitted in two files: prices.csv and yields.csv

Columns

There are 216 columns in both files sorted alphabetically. The difference is in units: for yields.csv each value represents a % yield for a particular bond and for prices.csv it is the cost of a bond in a particular country's currency.

... | US07 | US Government Bond 5Y term | % or USD | | US10 | US Government Bond 10Y term | % or USD | | US20 | US Government Bond 20Y term | % or USD | | US30 | US Government Bond 30Y term | % or USD |

Prefixes

Acknowledgements

1. TradingView Inc., https://www.tradingview.com/
2. TradingView Inc., https://www.tradingview.com/
3. TradingView Inc., https://www.tradingview.com/

The global stock auto-trading software market is experiencing robust growth, driven by increasing adoption of algorithmic trading strategies among both institutional and individual investors. The market's size in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several factors: the proliferation of sophisticated trading algorithms, the rising popularity of quantitative analysis techniques, and the increasing availability of high-frequency data feeds. The demand for automated trading solutions is particularly strong among institutional investors seeking to optimize portfolio management and enhance trading efficiency. However, concerns regarding regulatory compliance, potential risks associated with algorithmic trading, and the need for substantial upfront investment in software and infrastructure represent key restraints. The market is segmented by edition (personal and institutional) and application (personal and commercial). The institutional edition segment currently dominates, fueled by the high investment capacity and technical expertise within institutional settings. However, the personal edition segment is projected to experience significant growth due to rising retail investor participation and the accessibility of user-friendly auto-trading platforms. The geographical distribution is diverse, with North America and Europe currently holding the largest market shares, followed by the Asia-Pacific region, experiencing rapid growth due to increasing financial market sophistication and technological advancements. The competitive landscape is characterized by a mix of established players and emerging fintech companies. Established vendors like Trade Ideas, Optuma, and TradingView offer comprehensive platforms with advanced features, while newer entrants focus on niche functionalities or user-friendly interfaces. Continuous innovation in artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) is expected to further fuel market growth, enabling the development of more sophisticated and adaptive trading algorithms. The integration of these technologies is likely to blur the lines between personal and institutional editions, as advanced features become more accessible to individual traders. Future growth will depend heavily on the acceptance and adoption of AI-driven trading strategies and the ability of software providers to adapt to evolving regulatory landscapes and investor needs.

The global Securities and Futures Investment Analysis Software market is experiencing robust growth, projected to reach $2188 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 18.9% from 2025 to 2033. This expansion is driven by several key factors. The increasing adoption of sophisticated trading strategies by both individual and institutional investors necessitates advanced analytical tools. The rising accessibility of high-speed internet and mobile devices further fuels market growth, allowing for seamless access to real-time data and analysis capabilities. Furthermore, the growing complexity of financial markets and the demand for efficient risk management solutions are propelling the demand for specialized software. The market is segmented by application (Individuals and Institutions) and type (Software for Individual Investors and Software for Institutional Investors). While institutional investors dominate the market in terms of revenue due to their larger investments and sophisticated needs, the individual investor segment exhibits high growth potential, fueled by the rise of retail trading and the democratization of financial markets. The competitive landscape is populated by a mix of established financial data providers like Bloomberg and Refinitiv, along with specialized trading platforms such as MetaTrader and TradeStation, and innovative fintech companies like QuantConnect. Geographic distribution shows significant market presence in North America and Europe, driven by established financial ecosystems and regulatory environments. However, Asia-Pacific and other emerging markets offer substantial growth opportunities due to increasing digitalization and rising investor participation. The sustained growth trajectory is expected to continue throughout the forecast period (2025-2033). Factors like advancements in artificial intelligence (AI) and machine learning (ML) for predictive analytics, the integration of blockchain technology for enhanced security and transparency, and the growing adoption of cloud-based solutions will further propel market expansion. However, potential restraints include the high cost of sophisticated software, the need for specialized technical expertise, and the potential for regulatory changes impacting data access and usage. The market is likely to see increased consolidation through mergers and acquisitions as companies compete for market share and expand their product offerings. The focus on developing user-friendly interfaces and integrating advanced analytical capabilities will be crucial for companies to maintain a competitive edge.

The global virtual trading platform market, valued at $284 million in 2025, is poised for robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 6.5% from 2025 to 2033. This expansion is fueled by several key factors. The increasing accessibility of the internet and mobile devices has democratized access to financial markets, making virtual trading platforms an attractive option for both novice and experienced investors. Educational initiatives promoting financial literacy and the rise of fintech are also contributing to market growth. Furthermore, the integration of advanced technologies like AI-powered trading tools and gamified learning experiences within these platforms enhances user engagement and attracts a wider user base, spanning personal and enterprise applications. The market segmentation reveals a strong preference for iOS and Android platforms, reflecting the dominant mobile landscape. Competition is fierce, with established players like Investopedia and TradingView alongside numerous emerging platforms vying for market share. Geographic analysis indicates strong growth potential in Asia-Pacific, driven primarily by the burgeoning economies of India and China, where increasing internet penetration and financial inclusion are propelling adoption. The competitive landscape necessitates continuous innovation and strategic partnerships to maintain a competitive edge. While the market faces challenges such as regulatory complexities and concerns surrounding cybersecurity, the overall outlook remains positive. The market's continued expansion will be significantly influenced by technological advancements, regulatory changes, and the ongoing evolution of investor behavior and preferences. The projected growth trajectory suggests a substantial market expansion over the forecast period, presenting lucrative opportunities for established players and new entrants alike, but requiring strategic adaptability to meet emerging trends and evolving consumer demands.

This dataset was collected using a screenshot taken from the TradingView.com platform from different stock exchange markets using a 1 day as time frame (interval). The following patterns are: - Double bottom : 170 images - Double top : 170 images

The global market for stock trading analysis software and tools is experiencing robust growth, driven by the increasing popularity of online trading, algorithmic trading strategies, and the need for sophisticated data analysis among both individual investors and institutional players. The market's expansion is fueled by several key trends, including the rise of mobile trading platforms, the increasing integration of artificial intelligence (AI) and machine learning (ML) in trading algorithms, and the growing demand for real-time market data and predictive analytics. While the market size is not explicitly provided, considering the presence of numerous established players like TradingView and MetaStock, along with a healthy number of emerging competitors, a reasonable estimate for the 2025 market size would be around $5 billion. Assuming a conservative Compound Annual Growth Rate (CAGR) of 15% over the forecast period (2025-2033), the market is projected to reach approximately $15 billion by 2033. This growth trajectory reflects the continuous innovation in trading technologies and the increasing sophistication of trading strategies employed by market participants. However, the market faces some restraints. These include the high cost of advanced software and tools, the complexity of using these technologies, especially for novice investors, and the need for continuous updates and maintenance. Regulatory changes and cybersecurity concerns also pose challenges. The market is segmented across various software types (e.g., charting software, technical analysis tools, fundamental analysis tools, algorithmic trading platforms), pricing models (subscription-based, one-time purchase), and user types (individual investors, institutional investors, financial advisors). Regional variations exist, with North America and Europe currently dominating market share, but Asia-Pacific is projected to show significant growth in the coming years due to the expanding online trading population.

The global market for stock trading analysis software and tools is experiencing robust growth, driven by the increasing adoption of online trading platforms and the rising popularity of algorithmic trading strategies. The market, currently estimated at $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors. Firstly, the proliferation of mobile trading apps and user-friendly online platforms has democratized access to financial markets, attracting a broader range of investors who rely on sophisticated analysis tools to make informed decisions. Secondly, the growing sophistication of algorithmic and quantitative trading strategies necessitates advanced software capable of handling large datasets, performing complex calculations, and generating actionable insights in real-time. Furthermore, the increasing demand for personalized trading experiences and the integration of artificial intelligence (AI) and machine learning (ML) are further accelerating market growth. The market is segmented by application (individual and institutional) and type (cloud-based and on-premise), with cloud-based solutions gaining significant traction due to their accessibility, scalability, and cost-effectiveness. While regulatory changes and cybersecurity concerns pose some challenges, the overall market outlook remains highly positive, with continued expansion projected throughout the forecast period. The competitive landscape is characterized by a mix of established players and emerging fintech companies. Established players like TradingView and MetaStock benefit from brand recognition and a large existing user base. However, innovative startups are disrupting the market with niche solutions and advanced AI-powered features. Geographic distribution shows strong growth across North America and Asia-Pacific, driven by high levels of internet penetration and a growing number of retail investors. Europe and other regions are also contributing to market growth, although at a slightly slower pace. The institutional segment is expected to drive significant growth in the coming years due to the increasing need for sophisticated risk management tools and advanced analytical capabilities within financial institutions. The continued development of new technologies and the evolving needs of both individual and institutional traders will shape the future landscape of the stock trading analysis software and tools market.

CRB Index rose to 377.14 Index Points on July 29, 2025, up 0.83% from the previous day. Over the past month, CRB Index's price has risen 3.27%, and is up 16.45% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on July of 2025.

xinqiyang/tradingview_msn_financial_news_1k dataset hosted on Hugging Face and contributed by the HF Datasets community

Iran's main stock market index, the TEDPIX, closed flat at 2681000 points on July 30, 2025. Over the past month, the index has declined 1.83%, though it remains 29.62% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Iran. Iran Tehran Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

Market Analysis: Stock Trading Analysis Software & Tools The global stock trading analysis software and tools market is projected to reach a value of USD xxx million by 2033, exhibiting a CAGR of xx% from 2025 to 2033. The market's growth is primarily driven by the increasing adoption of advanced trading strategies, the need for real-time data and analytics, and the proliferation of algorithmic trading. Key market segments include on-premise and cloud-based deployment models, individual and institutional applications, and regions such as North America, Europe, and Asia Pacific. Market trends include the integration of artificial intelligence (AI) and machine learning (ML) algorithms for automated trading, the rise of mobile trading platforms, and the increasing demand for customization and personalization. However, factors such as regulatory restrictions and the complexity of certain analysis tools may restrain growth. Leading industry players include TradingView, Stock Rover, Trade Ideas, and MetaStock, among others. Regional dynamics and market share analysis provide insights into the competitive landscape and growth potential in different geographies.

The global stock trading analysis software & tools market was valued at USD 6.21 billion in 2025 and is projected to grow from USD 7.15 billion in 2026 to USD 12.03 billion by 2033, exhibiting a CAGR of 6.9% during the forecast period (2026-2033). The increasing adoption of cloud-based trading platforms, the growing popularity of algorithmic trading, and the rising demand for real-time data analytics are the key factors driving the market growth. Additionally, the increasing number of retail investors and the growing popularity of cryptocurrency trading are expected to further contribute to the market growth over the forecast period. North America is expected to dominate the global stock trading analysis software & tools market during the forecast period due to the presence of a large number of well-established financial institutions and the high adoption of advanced trading technologies. The Asia Pacific region is expected to witness the highest growth rate during the forecast period due to the increasing number of retail investors and the growing popularity of cryptocurrency trading in the region. The key players in the global stock trading analysis software & tools market include TradingView, Stock Rover, Trade Ideas, MetaStock, TrendSpider, TC2000, Optuma, Scanz, VectorVest, QuantShare, Hithink RoyalFlush Information Network Co, Sina Finance, Dazhihui Co, Eastmoney, and others. These players are focusing on developing innovative and user-friendly software and tools to meet the evolving needs of traders and investors.