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This dataset consists of five CSV files that provide detailed data on a stock portfolio and related market performance over the last 5 years. It includes portfolio positions, stock prices, and major U.S. market indices (NASDAQ, S&P 500, and Dow Jones). The data is essential for conducting portfolio analysis, financial modeling, and performance tracking.
This file contains the portfolio composition with details about individual stock positions, including the quantity of shares, sector, and their respective weights in the portfolio. The data also includes the stock's closing price.
Ticker
: The stock symbol (e.g., AAPL, TSLA) Quantity
: The number of shares in the portfolio Sector
: The sector the stock belongs to (e.g., Technology, Healthcare) Close
: The closing price of the stock Weight
: The weight of the stock in the portfolio (as a percentage of total portfolio)This file contains historical pricing data for the stocks in the portfolio. It includes daily open, high, low, close prices, adjusted close prices, returns, and volume of traded stocks.
Date
: The date of the data point Ticker
: The stock symbol Open
: The opening price of the stock on that day High
: The highest price reached on that day Low
: The lowest price reached on that day Close
: The closing price of the stock Adjusted
: The adjusted closing price after stock splits and dividends Returns
: Daily percentage return based on close prices Volume
: The volume of shares traded that dayThis file contains historical pricing data for the NASDAQ Composite index, providing similar data as in the Portfolio Prices file, but for the NASDAQ market index.
Date
: The date of the data point Ticker
: The stock symbol (for NASDAQ index, this will be "IXIC") Open
: The opening price of the index High
: The highest value reached on that day Low
: The lowest value reached on that day Close
: The closing value of the index Adjusted
: The adjusted closing value after any corporate actions Returns
: Daily percentage return based on close values Volume
: The volume of shares tradedThis file contains similar historical pricing data, but for the S&P 500 index, providing insights into the performance of the top 500 U.S. companies.
Date
: The date of the data point Ticker
: The stock symbol (for S&P 500 index, this will be "SPX") Open
: The opening price of the index High
: The highest value reached on that day Low
: The lowest value reached on that day Close
: The closing value of the index Adjusted
: The adjusted closing value after any corporate actions Returns
: Daily percentage return based on close values Volume
: The volume of shares tradedThis file contains similar historical pricing data for the Dow Jones Industrial Average, providing insights into one of the most widely followed stock market indices in the world.
Date
: The date of the data point Ticker
: The stock symbol (for Dow Jones index, this will be "DJI") Open
: The opening price of the index High
: The highest value reached on that day Low
: The lowest value reached on that day Close
: The closing value of the index Adjusted
: The adjusted closing value after any corporate actions Returns
: Daily percentage return based on close values Volume
: The volume of shares tradedThis data is received using a custom framework that fetches real-time and historical stock data from Yahoo Finance. It provides the portfolio’s data based on user-specific stock holdings and performance, allowing for personalized analysis. The personal framework ensures the portfolio data is automatically retrieved and updated with the latest stock prices, returns, and performance metrics.
This part of the dataset would typically involve data specific to a particular user’s stock positions, weights, and performance, which can be integrated with the other files for portfolio performance analysis.
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License information was derived automatically
Spain Spanish Stock Exchange: Index: Financial Services and Real Estate: Portfolio and Holdings data was reported at 2,300.570 31Dec2004=1000 in Jun 2018. This records an increase from the previous number of 2,235.410 31Dec2004=1000 for May 2018. Spain Spanish Stock Exchange: Index: Financial Services and Real Estate: Portfolio and Holdings data is updated monthly, averaging 1,417.190 31Dec2004=1000 from Jan 2001 (Median) to Jun 2018, with 210 observations. The data reached an all-time high of 2,368.420 31Dec2004=1000 in Apr 2018 and a record low of 688.920 31Dec2004=1000 in Dec 2002. Spain Spanish Stock Exchange: Index: Financial Services and Real Estate: Portfolio and Holdings data remains active status in CEIC and is reported by Madrid Stock Exchange. The data is categorized under Global Database’s Spain – Table ES.Z001: Spanish Stock Exchange: Index.
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This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data
Along with other Latin American stock exchange markets, Chile's IPSA stock index plummeted since the coronavirus outbreak in late February 2020. On March 18, 2020 the IPSA index closed at 2,876 Chilean pesos, down from 4,519 pesos on February 19. The S&P/CLX IPSA index shows the average performance of a portfolio composed by 40 stocks with the highest trading value in the Santiago Stock Exchange, located in the Chilean capital.
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The global broad-based index fund market size was valued at USD 5.3 trillion in 2023 and is projected to reach USD 11.2 trillion by 2032, growing at a compound annual growth rate (CAGR) of 8.5% during the forecast period. This substantial growth is driven by increasing investor interest in passive investment strategies, along with the rising emphasis on cost-effective and diversified portfolio management.
The surge in demand for broad-based index funds can be attributed to several key growth factors. Firstly, the growing awareness and education about the benefits of passive investing over active management have played a significant role. Investors are increasingly leaning towards index funds due to their lower expense ratios, tax efficiency, and the ability to provide broad market exposure with minimal effort. Secondly, technological advancements and the rise of fintech have made these funds more accessible to a wider audience through online platforms and robo-advisors, democratizing investment opportunities for retail investors globally. Lastly, regulatory changes in many regions are encouraging greater transparency and lower fees in the financial services industry, which further bolsters the attractiveness of index funds as a preferred investment vehicle.
The popularity of broad-based index funds is also bolstered by their performance resilience during market volatility. Historical data indicates that while actively managed funds often struggle to outperform the market consistently, index funds tend to provide more stable returns over the long term. This trend has been particularly noticeable during economic downturns and periods of market uncertainty, where investors seek the relative safety and predictability offered by broad-based diversified portfolios. Additionally, the increased focus on retirement planning and the shift from defined benefit to defined contribution retirement plans have spurred the growth of index funds as they are often the preferred choice in retirement accounts due to their long-term growth potential and lower costs.
The regional outlook for the broad-based index fund market highlights significant growth potential across various geographies. North America, particularly the United States, remains the largest market for index funds, driven by the deep-rooted culture of investing and a well-established financial infrastructure. Europe follows closely, with growth fueled by regulatory support and increasing investor awareness. The Asia Pacific region is expected to witness the highest growth rate, propelled by the burgeoning middle class, rising disposable incomes, and increasing penetration of financial services. Latin America and the Middle East & Africa are also anticipated to demonstrate steady growth as financial markets in these regions continue to develop and mature.
Mutual Funds Sales have seen a notable uptick as investors increasingly seek diversified investment options that align with their financial goals. This trend is particularly evident in the context of broad-based index funds, where mutual funds offer a structured approach to investing in a wide array of assets. The appeal of mutual funds lies in their ability to pool resources from multiple investors, enabling access to a diversified portfolio that might otherwise be unattainable for individual investors. This collective investment model not only reduces risk but also provides investors with professional management and oversight. As the financial landscape evolves, mutual funds continue to play a crucial role in facilitating access to index funds, thereby driving sales and expanding their market presence.
Equity index funds represent a significant portion of the broad-based index fund market. These funds track a variety of stock indices, such as the S&P 500, NASDAQ, and MSCI World Index, providing investors with exposure to a wide array of equity markets. The appeal of equity index funds lies in their ability to offer broad market diversification at a low cost. Investors benefit from the lower fees associated with passive management and the reduced risk of individual stock selection. As a result, equity index funds have become a staple in both retail and institutional portfolios, driving robust demand and growth in this segment.
Bond index funds, though smaller in market share compared to their equity counterparts, are gaining traction as investors seek stable income and risk diversifi
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According to Cognitive Market Research, the global index fund market size will be USD XX million in 2024. It will expand at a compound annual growth rate (CAGR) of 6.00% from 2024 to 2031. North America held the major market share for more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.2% from 2024 to 2031. Europe accounted for a market share of over 30% of the global revenue with a market size of USD XX million. Asia Pacific held a market share of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031. Latin America had a market share of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.4% from 2024 to 2031. Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.7% from 2024 to 2031. The insurance fund held the highest index fund market revenue share in 2024. Market Dynamics of Index Fund Market Key Drivers for Index Fund Market Increased Awareness and Education About Investing to Increase the Demand Globally Increased awareness and education about investing have driven the growth of the index fund market. As people become more informed about financial principles, they realize the advantages of index funds, including low expenses, diversification, and transparency. Understanding the advantages of passive investing over operational management fosters confidence in index funds as dedicated vehicles for long-term wealth accumulation. This heightened attention drives greater participation in the market, shaping it into a key element of many investors' portfolios and contributing to its ongoing expansion. Changes in Regulatory Policies, Such As Tax Laws Or Securities Regulations to Propel Market Growth Changes in regulatory policies, like alterations in tax laws or securities regulations, can profoundly impact the index fund market. Shifts in tax codes may affect investors' after-tax returns, influencing their investment decisions. Similarly, changes in securities regulations can influence the structure and function of index funds, potentially limiting their attractiveness or compliance needs. Such changes can lead to changes in investor behavior, fund implementation, and market dynamics, highlighting the interconnectedness between regulatory conditions and the index fund market's strength and development trajectory?. Restraint Factor for the Index Fund Market Changes in Financial Regulations to Limit the Sales Changes in financial regulations can significantly impact the index fund market. Stricter regulatory requirements may improve compliance expenses for fund managers, potentially directing investors to higher fees. Additionally, regulations that restrict certain types of investments or mandate more comprehensive reporting can decrease the flexibility and attractiveness of index funds. Conversely, regulations encouraging transparency and investor protection can increase confidence and participation in the market. Impact of Covid-19 on the Index Fund Market The COVID-19 pandemic significantly impacted the index fund market, initially causing volatility and sharp drops. However, it also revved a shift towards passive investing due to market anticipation and the search for stability. Investors flocked to index funds for their low expenses, diversification, and constant performance. The subsequent market recovery, fueled by monetary and fiscal stimulation, further expanded index fund assets. Overall, the pandemic highlighted the resilience of index funds and solidified their attraction as a core investment strategy during times of economic uncertainty. Introduction of the Index Fund Market An index fund is a type of mutual fund or ETF designed to replicate the performance of a specific financial market index, delivering low costs, broad diversification, and passive investment management. Growing disposable incomes in developing regions significantly boost the index fund market. As individuals in these areas gain more financial stability, they seek investment opportunities to increase their wealth. Index funds, with their low expenses, diversification, and comfort of access, become attractive options for t...
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Graph and download economic data for Producer Price Index by Industry: Portfolio Management and Investment Advice: Mutual Fund and Exchange Traded Fund Management (PCU5239205239201) from Dec 1999 to May 2025 about mutual funds, management, PPI, industry, inflation, price index, indexes, price, and USA.
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The global index fund market is experiencing robust growth, driven by increasing investor awareness of passive investment strategies and the pursuit of diversified, cost-effective portfolios. The market's appeal stems from its simplicity – mirroring a specific market index, eliminating the need for active management and potentially reducing fees. This makes index funds particularly attractive to long-term investors and those seeking efficient market exposure. While precise figures are unavailable, considering a global market size of approximately $10 trillion USD in 2025 with a Compound Annual Growth Rate (CAGR) of 12% is a reasonable estimation based on recent market performance and industry reports. This growth is fueled by factors like the rising adoption of Exchange-Traded Funds (ETFs), a prevalent form of index fund, and the ongoing shift towards passive investing globally. The continued expansion of the global financial market, along with advancements in technology facilitating easy access to investment platforms, contributes significantly to this growth trajectory. Several key players dominate the market, including prominent international players like Vanguard, BlackRock, and Fidelity, alongside significant domestic Chinese firms such as Tianhong Fund, E Fund, and China Asset Management. However, competitive pressures are increasing, with new entrants and existing players constantly innovating to offer unique product features and cater to evolving investor preferences. Regulatory changes impacting investment strategies and market volatility represent potential restraints. Nevertheless, the long-term outlook for the index fund market remains positive, primarily driven by demographic shifts, increasing investor sophistication, and the inherent advantages of passive investing in a globally interconnected economy. The continued expansion of both developed and emerging markets will further fuel the market's growth over the forecast period of 2025-2033.
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The global ETF Index Fund market is experiencing robust growth, driven by increasing investor preference for diversified, low-cost investment vehicles. The market's appeal stems from its accessibility, transparency, and potential for significant returns, particularly in volatile market conditions. While precise market sizing requires specific data, considering a conservative CAGR of 10% (a common rate for established investment products) and a 2025 market value of $5 trillion (a reasonable estimate based on the significant presence of major players like BlackRock and Vanguard and the overall size of the investment management industry), we can project substantial expansion over the forecast period (2025-2033). Key drivers include the rising popularity of passive investment strategies, technological advancements improving trading efficiency, and the growing sophistication of retail and institutional investors. The segmentation by application (Investment & Financial Management, Risk Hedging, Others) and fund type (S&P 500, Nasdaq 100, Others) reflects the market’s diverse offerings and caters to a broad spectrum of investor needs and risk tolerances. Growth may be somewhat constrained by regulatory changes, macroeconomic uncertainty, and competition from other investment products. However, the long-term outlook remains positive, with substantial opportunities for expansion in emerging markets and through innovative product development. Geographic distribution shows significant concentration in North America and Europe, reflecting the maturity of these markets. However, rapid growth is expected in Asia-Pacific, particularly in China and India, as these regions experience increasing wealth creation and investor participation in the financial markets. The presence of major Chinese players like Guotai-Junan, GF Securities, Eastmoney, ChinaAMC, Hua An Fund, and Dacheng Fund highlights the escalating importance of this region. Competitive intensity is high, with established global giants like BlackRock, Vanguard, and State Street Global Advisors vying for market share alongside regional players. Future growth will depend on factors like the successful integration of innovative technologies, the development of niche index funds catering to specific market segments (e.g., sustainable investing, thematic ETFs), and the ability of companies to adapt to evolving regulatory landscapes.
End-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.
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New Zealand Gross Index: NZX 50 Portfolio data was reported at 5,451.560 03Mar2003=1000 in Oct 2018. This records a decrease from the previous number of 5,816.650 03Mar2003=1000 for Sep 2018. New Zealand Gross Index: NZX 50 Portfolio data is updated monthly, averaging 2,136.090 03Mar2003=1000 from Apr 2003 (Median) to Oct 2018, with 187 observations. The data reached an all-time high of 5,816.650 03Mar2003=1000 in Sep 2018 and a record low of 1,072.617 03Mar2003=1000 in Apr 2003. New Zealand Gross Index: NZX 50 Portfolio data remains active status in CEIC and is reported by New Zealand Stock Exchange. The data is categorized under Global Database’s New Zealand – Table NZ.Z001: New Zealand Stock Exchange: Market Indices.
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The global broad-based index fund market is experiencing robust growth, driven by increasing investor preference for passive investment strategies and the simplicity of index funds. The market's size, while not explicitly stated, can be reasonably estimated based on the presence of numerous large global players like Vanguard, BlackRock, and Fidelity, coupled with the substantial market penetration of index funds in developed markets. Assuming a global market size of approximately $5 trillion in 2025 (a conservative estimate given the scale of these players and the overall asset under management in index funds globally), and a CAGR (Compound Annual Growth Rate) of, say, 8% (a figure reflecting recent market trends and sustainable growth), the market is projected to reach significant proportions by 2033. Key drivers include the lower expense ratios compared to actively managed funds, the diversification benefits offered by broad-based indexes, and the increasing accessibility of these funds through online brokerage platforms. The rising popularity of exchange-traded funds (ETFs), which often track broad-based indexes, further fuels this growth. Despite the positive outlook, certain restraints exist. Market volatility, particularly during economic downturns, can impact investor sentiment. Regulatory changes and increased competition among fund providers also present challenges. Furthermore, educational efforts are crucial to address potential investor misconceptions regarding passive versus active investment strategies. Market segmentation will see growth in both geographic regions (with developing markets representing a considerable opportunity) and specific index types (e.g., sector-specific index funds). Leading players like Vanguard, BlackRock, and Fidelity are expected to maintain their dominance due to their brand recognition, established infrastructure, and economies of scale. However, increased competition from regional and niche players is likely, particularly in rapidly growing markets such as Asia.
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A list of the top 50 Index Fund Advisors Inc holdings showing which stocks are owned by Index Fund Advisors Inc's hedge fund.
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Brazil Foreign Investment Portfolio: Composition %: Stock Index Options data was reported at 0.000 % in Dec 2018. This records a decrease from the previous number of 0.002 % for Nov 2018. Brazil Foreign Investment Portfolio: Composition %: Stock Index Options data is updated monthly, averaging 0.000 % from Jul 2016 (Median) to Dec 2018, with 30 observations. The data reached an all-time high of 0.054 % in Nov 2016 and a record low of 0.000 % in Dec 2018. Brazil Foreign Investment Portfolio: Composition %: Stock Index Options data remains active status in CEIC and is reported by Securities and Exchange Commission of Brazil . The data is categorized under Global Database’s Brazil – Table BR.ZA016: Securities and Exchange Commission of Brazil: Foreign Investment Portfolio: Value of Investments.
The Dow Jones Composite Index finished the year 2024 at 13,391.71 points, an increase compared to the previous year. Even with the economic effects of the global coronavirus (COVID-19) pandemic, 2021 had the highest point of the index in the past two decades. What is Dow Jones Composite Index? The Dow Jones Composite Index is one of the indices from the Dow Jones index family. It is composed of 65 leading U.S. companies: 30 stocks forming the Dow Jones Industrial Average index, 20 stocks from the Dow Jones Transportation index and 15 stocks from the Dow Jones Utility Average index. Importance of stock indices A stock market index shows an average performance of companies from a given section of the market. It is usually a weighted average, meaning that such factors as price of companies or their market capitalization are taken into consideration when calculating the index value. Stock indices are very useful for the financial market participants, as they instantly show the sentiments prevailing on a given market. They are also commonly used as a benchmark against portfolio performance, showing if a given portfolio has outperformed, or underperformed the market.
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The global commodity index funds market size was valued at approximately $200 billion in 2023 and is projected to reach nearly $400 billion by 2032, growing at a robust CAGR of 7.5% during the forecast period. The significant growth in this market can be attributed to the increasing demand for diversification in investment portfolios and the inherent benefits of hedging against inflation that commodity investments provide. Furthermore, the volatility in global stock markets and geopolitical uncertainties have led investors to seek safer, more stable investment avenues, thus driving the growth of commodity index funds.
One of the primary growth factors propelling the commodity index funds market is the rising awareness among investors about the advantages of commodity investments as a hedge against inflation. Commodities, unlike stocks and bonds, often move inversely to the stock market, providing a cushion during market downturns. This characteristic makes commodity index funds an attractive option for risk-averse investors and those looking to balance their portfolios. Additionally, the globalization of trade and the increasing demand for raw materials in emerging markets have further spurred the demand for commodity investments.
Technological advancements in trading platforms have also significantly contributed to the growth of this market. The advent of sophisticated online platforms has made it easier for retail investors to access and invest in commodity index funds. These platforms offer a range of tools and resources that help investors make informed decisions, thereby democratizing access to commodity investments. Moreover, the rise of robo-advisors and algorithm-based trading strategies has further simplified the investment process, attracting a new generation of tech-savvy investors.
The regulatory landscape has also played a crucial role in shaping the commodity index funds market. Governments and financial regulatory bodies across the globe have been working to create a transparent and secure trading environment. Regulatory reforms aimed at reducing market manipulation and increasing transparency have instilled confidence among investors, thereby boosting the market. Additionally, tax incentives and favorable policies for commodity investments in various countries have also contributed to market growth.
In terms of regional outlook, North America holds a significant share of the global commodity index funds market, followed by Europe and Asia Pacific. The presence of well-established financial markets and a high level of investor awareness in North America are key factors driving the market in this region. Europe, with its strong regulatory framework and increasing adoption of alternative investment strategies, is also witnessing substantial growth. Meanwhile, the Asia Pacific region is emerging as a lucrative market, driven by the rapid economic growth in countries like China and India, and the increasing interest in commodity investments among institutional and retail investors.
When analyzing the market by fund type, Broad Commodity Index Funds dominate the landscape. These funds invest in a diversified portfolio of commodities, making them a popular choice for investors seeking broad exposure to the commodity markets. The broad commodity index funds are designed to track the performance of a basket of commodities, ranging from energy products to metals and agricultural goods. This diversification helps mitigate risks associated with the volatility of individual commodities, thereby providing a more stable investment option for risk-averse investors.
Single Commodity Index Funds, on the other hand, focus on specific commodities such as gold, oil, or agricultural products. These funds appeal to investors who have a strong conviction about the performance of a particular commodity. For instance, during periods of economic uncertainty, gold-focused funds often see a surge in demand as investors flock to the safe-haven asset. Similarly, energy-focused funds attract investors when there are disruptions in oil supply or significant geopolitical events affecting oil prices. While these funds offer the potential for high returns, they also come with higher risks due to their lack of diversification.
Sector Commodity Index Funds are another important segment within the commodity index funds market. These funds concentrate on commodities within a specific sector, such as energy, agriculture, or metals, allowing investors to target particular segments of the commo
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This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Brazil Foreign Investment: Portfolio: Comp: Futures Contracts: Stock Index data was reported at 1,278.364 BRL mn in Apr 2018. This records an increase from the previous number of 1,230.877 BRL mn for Mar 2018. Brazil Foreign Investment: Portfolio: Comp: Futures Contracts: Stock Index data is updated monthly, averaging 1,676.074 BRL mn from Jul 2016 (Median) to Apr 2018, with 22 observations. The data reached an all-time high of 3,012.691 BRL mn in Nov 2016 and a record low of 811.078 BRL mn in Oct 2017. Brazil Foreign Investment: Portfolio: Comp: Futures Contracts: Stock Index data remains active status in CEIC and is reported by Securities and Exchange Commission of Brazil . The data is categorized under Global Database’s Brazil – Table BR.ZA016: Securities and Exchange Commission of Brazil: Foreign Investment: Portfolio: Value of Investments.
End-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.
In April 2024, among all the indices listed on the National Stock Exchange (NSE) of India, Nifty 50 had the highest dividend yield of 1.2 percent. This was closely followed by Nifty 100 and Nifty Next 50, both with a dividend yield of 1.15 percent, respectively.
What are broad market indices?
Broad market indices, also called market indices, are utilized to monitor the performance of a collection of stocks that closely mirror the overall stock market. They generally consist of large, liquid stocks listed on the stock exchange. They serve as a benchmark for measuring the performance of the stock market or portfolios such as mutual fund investments. In many broad-based indexes, companies are weighted based on their market value. This means that larger companies carry more weight in determining the index price compared to smaller ones. For instance, in the Nifty-50 index, Cipla, a major pharmaceutical company, has a significant impact, while smaller companies like Natco Pharma have less influence due to their lower market capitalization.
What is Nifty 50?
Nifty-50 is the flagship index of NSE. It tracks the movement of the portfolio of the 50 largest blue-chip companies and most liquid securities in the Indian market. It is extensively used by domestic and foreign investors as the barometer of the Indian capital market. Annual returns of Nifty-50 were around 20 percent in fiscal year 2023, indicating strong market performance.
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This dataset consists of five CSV files that provide detailed data on a stock portfolio and related market performance over the last 5 years. It includes portfolio positions, stock prices, and major U.S. market indices (NASDAQ, S&P 500, and Dow Jones). The data is essential for conducting portfolio analysis, financial modeling, and performance tracking.
This file contains the portfolio composition with details about individual stock positions, including the quantity of shares, sector, and their respective weights in the portfolio. The data also includes the stock's closing price.
Ticker
: The stock symbol (e.g., AAPL, TSLA) Quantity
: The number of shares in the portfolio Sector
: The sector the stock belongs to (e.g., Technology, Healthcare) Close
: The closing price of the stock Weight
: The weight of the stock in the portfolio (as a percentage of total portfolio)This file contains historical pricing data for the stocks in the portfolio. It includes daily open, high, low, close prices, adjusted close prices, returns, and volume of traded stocks.
Date
: The date of the data point Ticker
: The stock symbol Open
: The opening price of the stock on that day High
: The highest price reached on that day Low
: The lowest price reached on that day Close
: The closing price of the stock Adjusted
: The adjusted closing price after stock splits and dividends Returns
: Daily percentage return based on close prices Volume
: The volume of shares traded that dayThis file contains historical pricing data for the NASDAQ Composite index, providing similar data as in the Portfolio Prices file, but for the NASDAQ market index.
Date
: The date of the data point Ticker
: The stock symbol (for NASDAQ index, this will be "IXIC") Open
: The opening price of the index High
: The highest value reached on that day Low
: The lowest value reached on that day Close
: The closing value of the index Adjusted
: The adjusted closing value after any corporate actions Returns
: Daily percentage return based on close values Volume
: The volume of shares tradedThis file contains similar historical pricing data, but for the S&P 500 index, providing insights into the performance of the top 500 U.S. companies.
Date
: The date of the data point Ticker
: The stock symbol (for S&P 500 index, this will be "SPX") Open
: The opening price of the index High
: The highest value reached on that day Low
: The lowest value reached on that day Close
: The closing value of the index Adjusted
: The adjusted closing value after any corporate actions Returns
: Daily percentage return based on close values Volume
: The volume of shares tradedThis file contains similar historical pricing data for the Dow Jones Industrial Average, providing insights into one of the most widely followed stock market indices in the world.
Date
: The date of the data point Ticker
: The stock symbol (for Dow Jones index, this will be "DJI") Open
: The opening price of the index High
: The highest value reached on that day Low
: The lowest value reached on that day Close
: The closing value of the index Adjusted
: The adjusted closing value after any corporate actions Returns
: Daily percentage return based on close values Volume
: The volume of shares tradedThis data is received using a custom framework that fetches real-time and historical stock data from Yahoo Finance. It provides the portfolio’s data based on user-specific stock holdings and performance, allowing for personalized analysis. The personal framework ensures the portfolio data is automatically retrieved and updated with the latest stock prices, returns, and performance metrics.
This part of the dataset would typically involve data specific to a particular user’s stock positions, weights, and performance, which can be integrated with the other files for portfolio performance analysis.