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.

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.

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 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.

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 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 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.

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.

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 August of 2025.

The global e-brokerage market is experiencing robust growth, driven by several key factors. The increasing adoption of online trading platforms, fueled by technological advancements and the rise of mobile trading apps, is a major catalyst. Retail investors are increasingly turning to online platforms for their ease of use, lower fees compared to traditional brokerage firms, and access to a wider range of investment products. Furthermore, the growing accessibility of the internet and smartphones, particularly in emerging markets, is expanding the market's reach to a larger, more diverse user base. The market is segmented by client type (retailers and institutional investors), services provided (full-time and discounted brokers), and ownership structure (privately and publicly held). While the dominance of established players like Interactive Brokers, Charles Schwab, and Fidelity Investments is undeniable, the market also shows opportunities for smaller, niche players focusing on specific trading strategies or investor demographics. The competitive landscape is characterized by continuous innovation in trading technology, personalized investment tools, and enhanced customer service features. Regulatory changes impacting online trading, along with potential economic downturns, represent significant restraints to growth, but the overall market trajectory remains positive. Based on a CAGR exceeding 6.50% and a 2025 market value (assuming a base year value for estimation purposes), we project continued expansion throughout the forecast period (2025-2033). The market's regional distribution likely reflects established economic strength and technological penetration. North America and Europe are expected to maintain significant market shares due to their high levels of internet and mobile penetration, coupled with a mature investment culture. However, rapid growth in Asia-Pacific and other emerging regions is anticipated, driven by increasing disposable incomes and rising internet usage. The competitive landscape will likely see further consolidation as larger firms acquire smaller players, and innovation continues to shape the future of online brokerage. The continuing evolution of regulatory environments and the introduction of new technologies such as AI-powered trading tools will be key factors influencing market growth and evolution in the coming years. This comprehensive report provides an in-depth analysis of the global e-brokerages market, covering the period from 2019 to 2033. It delves into market size, segmentation, key players, trends, and future growth projections, offering valuable insights for investors, industry professionals, and strategic decision-makers. The report utilizes data from the historical period (2019-2024), with 2025 serving as the base and estimated year. The forecast period extends to 2033. The analysis incorporates high-impact keywords such as online brokerage, discount brokerage, retail brokerage, institutional brokerage, algorithmic trading, and fintech investments, to ensure maximum search engine visibility. Recent developments include: May 2022: Interactive Brokers partnered with TradingView. The new partnership was like a win-win for all parties, particularly for Interactive broker clients as they were now trading directly from their TradingView workspaces and charts., May 2022: Fidelity International partnered with Canadian FinTech company, Conquest, as the exclusive distributor of its financial planning software, 'Conquest Planning' to the UK independent advice market., August 2022: eToro, a multi-asset social investment network, has struck a formal agreement to buy Gatsby, a fintech firm that also hoped to compete with Robinhood, for USD 50 million in cash and common shares.. Notable trends are: Zero commission in United States equity markets change market dynamics.

This study investigates the application of machine learning (ML) models in stock market forecasting, with a focus on their integration using PineScript, a domain-specific language for algorithmic trading. Leveraging diverse datasets, including historical stock prices and market sentiment data, we developed and tested various ML models such as neural networks, decision trees, and linear regression. Rigorous backtesting over multiple timeframes and market conditions allowed us to evaluate their predictive accuracy and financial performance. The neural network model demonstrated the highest accuracy, achieving a 75% success rate, significantly outperforming traditional models. Additionally, trading strategies derived from these ML models yielded a return on investment (ROI) of up to 12%, compared to an 8% benchmark index ROI. These findings underscore the transformative potential of ML in refining trading strategies, providing critical insights for financial analysts, investors, and developers. The study draws on insights from 15 peer-reviewed articles, financial datasets, and industry reports, establishing a robust foundation for future exploration of ML-driven financial forecasting. Tools and Technologies Used †PineScript PineScript, a scripting language integrated within the TradingView platform, was the primary tool used to develop and implement the machine learning models. Its robust features allowed for custom indicator creation, strategy backtesting, and real-time market data analysis. †Python Python was utilized for data preprocessing, model training, and performance evaluation. Key libraries included: Pandas

The algorithmic trading market is experiencing robust growth, driven by the increasing adoption of sophisticated trading strategies, a surge in high-frequency trading, and the demand for improved speed and efficiency in executing trades. The market's Compound Annual Growth Rate (CAGR) of 8.53% from 2019-2033 indicates a significant expansion, projecting substantial market value by 2033. Key drivers include the rising availability of advanced analytics and data-driven insights, coupled with the proliferation of cloud-based solutions that offer scalability and cost-effectiveness. Institutional investors are a major segment, leveraging algorithmic trading for portfolio optimization and risk management, while retail investors are increasingly accessing these technologies through user-friendly platforms. The market is segmented by trader type (institutional, retail, long-term, short-term), component (solutions and services), deployment (on-cloud, on-premise), and organization size (SMEs, large enterprises). Growth is geographically diverse, with North America and Europe currently holding significant market shares, yet Asia Pacific is expected to witness substantial growth in the coming years due to increasing technological adoption and financial market development. Regulatory changes and cybersecurity concerns present potential restraints, requiring robust risk management strategies and compliance measures. The competitive landscape is characterized by a mix of established financial institutions, technology providers, and specialized algorithmic trading firms. Companies like Algo Trader AG, IG Group, and Jump Trading LLC are at the forefront, continuously innovating to meet evolving market demands. The ongoing development of Artificial Intelligence (AI) and Machine Learning (ML) algorithms is further fueling market expansion, enabling more sophisticated predictive models and autonomous trading capabilities. The increasing integration of blockchain technology for enhanced security and transparency is also contributing to the growth trajectory. Future growth is likely to be influenced by advancements in big data analytics, improved infrastructure for high-frequency trading, and the ongoing regulatory landscape impacting the sector's evolution. Comprehensive Algorithmic Trading Market Report (2019-2033) This comprehensive report provides an in-depth analysis of the Algorithmic Trading market, offering invaluable insights for businesses and investors seeking to navigate this dynamic sector. The study covers the period from 2019 to 2033, with a base year of 2025 and a forecast period spanning 2025-2033. The report leverages historical data from 2019-2024 to project future market trends and growth. This report is essential for understanding the evolving landscape of algorithmic trading, from technological advancements to regulatory changes and market concentration. The market size is projected to reach several billion USD by 2033. Recent developments include: June 2023: DoubleVerify, one of the leading software platforms for digital media measurement, data, and analytics, announced the launch of DV Algorithmic Optimizer, an advanced measure and optimization offering with Scibids, one of the global leaders in artificial intelligence (AI) for digital marketing. The combination of DV's proprietary attention signals and Scibids' AI-powered ad decisioning enables advertisers to identify the performing inventory that maximizes business outcomes and advertising ROI without sacrificing scale., June 2023: KuCoin Futures has announced its recent API partnership with Kryll, one of the leading automated trading bot creation platforms. This innovative collaboration aims to revolutionize futures trading by integrating Kryll's algorithmic trading bots and TradingView signal features into the KuCoin Futures platform.. Key drivers for this market are: Rising Demand for Fast, Reliable, and Effective Order Execution, Growing Demand for Market Surveillance Augmented by Reduced Transaction Costs. Potential restraints include: Instant Loss of Liquidity. Notable trends are: On-cloud Deployment Segment is expected to drive the Market Growth.

CRB Index fell to 369.61 Index Points on July 31, 2025, down 1.78% from the previous day. Over the past month, CRB Index's price has risen 1.62%, and is up 12.72% 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 August 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 Algorithmic Trading market is experiencing robust growth, projected to maintain a Compound Annual Growth Rate (CAGR) of 8.53% from 2025 to 2033. This expansion is fueled by several key factors. Increased adoption of high-frequency trading (HFT) strategies by institutional investors seeking enhanced speed and efficiency in execution is a major driver. The rising availability of sophisticated analytical tools and advanced technologies, including artificial intelligence (AI) and machine learning (ML), empowers traders to develop more complex and effective algorithms. Furthermore, the growing demand for automated trading solutions amongst retail investors, facilitated by the proliferation of user-friendly trading platforms, is contributing significantly to market growth. Regulatory changes impacting market transparency and data availability, while potentially posing challenges in some instances, are simultaneously fostering innovation in algorithmic trading strategies. The market is segmented by trading strategy (e.g., arbitrage, statistical arbitrage, and market making), asset class (equities, derivatives, forex), and deployment mode (cloud, on-premise). The competitive landscape is characterized by a mix of established players, such as Thomson Reuters and Refinitiv, alongside specialized technology providers like MetaQuotes Software Corp and Kuberre Systems Inc. These firms are engaged in a constant race to improve the speed, accuracy, and sophistication of their algorithmic trading platforms. The market is geographically diverse, with North America and Europe currently holding significant market share; however, rapid growth is anticipated in Asia-Pacific and other emerging markets driven by increasing technological adoption and financial market development. While challenges such as cybersecurity threats and the potential for market manipulation remain, the overall outlook for algorithmic trading remains positive, indicating substantial growth opportunities in the coming years. The estimated market size in 2025 is conservatively projected to be $50 Billion USD, based on extrapolation of the CAGR and existing market dynamics. This figure reflects the substantial investments and technological advancements shaping this dynamic sector. Recent developments include: June 2023: DoubleVerify, one of the leading software platforms for digital media measurement, data, and analytics, announced the launch of DV Algorithmic Optimizer, an advanced measure and optimization offering with Scibids, one of the global leaders in artificial intelligence (AI) for digital marketing. The combination of DV's proprietary attention signals and Scibids' AI-powered ad decisioning enables advertisers to identify the performing inventory that maximizes business outcomes and advertising ROI without sacrificing scale., June 2023: KuCoin Futures has announced its recent API partnership with Kryll, one of the leading automated trading bot creation platforms. This innovative collaboration aims to revolutionize futures trading by integrating Kryll's algorithmic trading bots and TradingView signal features into the KuCoin Futures platform.. Key drivers for this market are: Rising Demand for Fast, Reliable, and Effective Order Execution, Growing Demand for Market Surveillance Augmented by Reduced Transaction Costs. Potential restraints include: Rising Demand for Fast, Reliable, and Effective Order Execution, Growing Demand for Market Surveillance Augmented by Reduced Transaction Costs. Notable trends are: On-cloud Deployment Segment is expected to drive the Market Growth.

Rhodium fell to 7,000 USD/t oz. on August 1, 2025, down 3.45% from the previous day. Over the past month, Rhodium's price has risen 27.27%, and is up 50.54% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Rhodium - values, historical data, forecasts and news - updated on August of 2025.

Baltic Dry rose to 2,018 Index Points on August 1, 2025, up 0.75% from the previous day. Over the past month, Baltic Dry's price has risen 39.85%, and is up 20.48% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Baltic Exchange Dry Index - values, historical data, forecasts and news - updated on August of 2025.

Steel fell to 3,188 CNY/T on July 31, 2025, down 1.24% from the previous day. Over the past month, Steel's price has risen 5.21%, and is up 6.27% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Steel - values, historical data, forecasts and news - updated on August of 2025.

Urea fell to 459 USD/T on July 31, 2025, down 0.22% from the previous day. Over the past month, Urea's price has risen 11.68%, and is up 48.06% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Urea.