Prices for DXY Dollar Index including live quotes, historical charts and news. DXY Dollar Index was last updated by Trading Economics this December 2 of 2025.

Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-11-28 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

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The raw data that is used in this dataset is the basic OHLC time series dataset for a gold market of the last 20 years collected and verified from different exchanges. This dataset contains over 8677 daily candle prices (rows) and in order to make it wealthy, extra datasets were merged with it to provide more details to each data frame. The sub-datasets contain historical economic information such as interest rates, inflation rates, and others that are highly related and affecting the gold market movement.

Raw dataset:

Time Range: 1988-08-01 to 2023-11-10 Number of data entries: 4050 Number of features: 4 (open, high, low, close OHLC daily candle price)

What are done to prepare this dataset : 1. Starting Exploratory Data Analysis (EDA) for all the raw datasets. 2. Find and fill in missing days. 3. Merge all the datasets into one master dataset based on the time index. 4. Verify the merge process. 5. Check and remove Duplicates. 6. Check and fill in missing values. 7. Including the basic technical indicators and price moving averages. 8. Outliers Inspection and treatment by different methods. 9. Adding targets. 10. Feature Analysis to identify the importance of each feature. 11. Final check.

After data preparation and feature engineering:

Time Range: 1999-12-30 to 2023-10-01

Number of data entries: 8677

Number of featuers: 28

Features list: open, high, low, close (OHLC daily candle price) dxy_open, dxy_close, dxy_high, dxy_low, fred_fedfunds, usintr, usiryy (Ecnomic inducators) RSI, MACD, MACD_signal, MACD_hist, ADX, CCI (Technical indicators) ROC SMA_10, SMA_20, EMA_10, EMA_20, SMA_50, EMA_50, SMA_100, SMA_200, EMA_100, EMA_200 (Moving avrages)

Targets List: next_1_day_price next_3_day_price next_7_day_price next_30_day_price next_1_day_Price_Change next_3_day_Price_Change next_7_day_Price_Change next_30_day_Price_Change next_30_day_Price_Change next_1_day_price_direction( Up, Same ,Down) next_3_day_price_direction( Up, Same ,Down) next_7_day_price_direction( Up, Same ,Down) next_30_day_price_direction( Up, Same ,Down)

Abbreviations of Features: dxy = US Dollar Index fred_fedfunds= Effective Federal Funds Rate usintr= US Interest Rate usiryy= US Inflation Rate YOY RSI= Relative Strength Index MACD= Moving Average Convergence Divergence ADX= Avrerage Directional Index CCI=Commodity Channel Index ROC= Rate of Change SMA= Simple Moving Average EMA= Exponential Moving Average

Index Time Series for Invesco DB US Dollar Index Bullish Fund. The frequency of the observation is daily. Moving average series are also typically included. The fund invests in futures contracts in an attempt to track its index. The index is calculated to reflect the changes in market value over time, whether positive or negative, of long positions in DX Contracts.

An index that can be used to gauge broad financial conditions and assess how these conditions are related to future economic growth. The index is broadly consistent with how the FRB/US model generally relates key financial variables to economic activity. The index aggregates changes in seven financial variables: the federal funds rate, the 10-year Treasury yield, the 30-year fixed mortgage rate, the triple-B corporate bond yield, the Dow Jones total stock market index, the Zillow house price index, and the nominal broad dollar index using weights implied by the FRB/US model and other models in use at the Federal Reserve Board. These models relate households' spending and businesses' investment decisions to changes in short- and long-term interest rates, house and equity prices, and the exchange value of the dollar, among other factors. These financial variables are weighted using impulse response coefficients (dynamic multipliers) that quantify the cumulative effects of unanticipated permanent changes in each financial variable on real gross domestic product (GDP) growth over the subsequent year. The resulting index is named Financial Conditions Impulse on Growth (FCI-G). One appealing feature of the FCI-G is that its movements can be used to measure whether financial conditions have tightened or loosened, to summarize how changes in financial conditions are associated with real GDP growth over the following year, or both.

The net return of the MSCI Emerging Markets Index (USD) varied depending on the investment timeframe, as net return is an annualized measure of the rate of return. After *** year of investment, the net return was roughly **** percent, while the return after five years was **** percent.

Comprehensive us dollar weighted average data with real-time values, historical trends, charts, and economic analysis. Track us dollar weighted average indicators for informed investment decisions.

Turkey Index: USD: Investment Trusts data was reported at 229.060 27Dec1996=534 in Oct 2018. This records an increase from the previous number of 214.270 27Dec1996=534 for Sep 2018. Turkey Index: USD: Investment Trusts data is updated monthly, averaging 603.480 27Dec1996=534 from Jan 1997 (Median) to Oct 2018, with 262 observations. The data reached an all-time high of 1,292.030 27Dec1996=534 in Apr 2000 and a record low of 158.690 27Dec1996=534 in Sep 2002. Turkey Index: USD: Investment Trusts data remains active status in CEIC and is reported by Borsa Istanbul . The data is categorized under Global Database’s Turkey – Table TR.Z001: Borsa Istanbul: Index.

EGPB - An Event-based Gold Price Benchmark Dataset

This benchmark dataset consists of 8030 rows and 36 variables sourced from multiple credible economic websites, covering a period from January 2001 to December 2022. This dataset can be utilized to predict gold prices specifically or to aid any economic field that is influenced by the variables in this dataset.

Key variables & Features include:

• Previous gold prices

• Future gold prices with predictions for one day, one week, and one month

• Oil prices

• Standard & Poor's 500 Index (S&P 500)

• Dow Jones Industrial (DJI)

• US dollar index

• US treasury

• Inflation rate

• Consumer price index (CPI)

• Federal funds rate

• Silver prices

• Copper prices

• Iron prices

• Platinum prices

• Palladium prices

Additionally, the dataset considers global events that may impact gold prices, which were categorized into groups and collected from three distinct sources: the Al-Jazeera website spanning from 2022 to 2019, the Investing website spanning from 2018 to 2016, and the Yahoo Finance website spanning from 2007 to 2001.

These events data were then divided into multiple groups:

• Economic data

• Politics

• logistics

• Oil

• OPEC

• Dollar currency

• Sterling pound currency

• Russian ruble currency

• Yen currency

• Euro currency

• US stocks

• Global stocks

• Inflation

• Job reports

• Unemployment rates

• CPI rate

• Interest rates

• Bonds

These events were encoded using a numeric value, where 0 represented no events, 1 represented low events, 2 represented high events, 3 represented stable events, 4 represented unstable events, and 5 represented events that were observed during the day but had no effect on the dataset.

Cite this dataset: Farah Mansour and Wael Etaiwi, "EGPBD: An Event-based Gold Price Benchmark Dataset," 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, Spain, 2023, pp. 1-7, doi: 10.1109/ICECCME57830.2023.10252987.

@INPROCEEDINGS{10252987, author={Mansour, Farah and Etaiwi, Wael}, booktitle={2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)}, title={EGPBD: An Event-based Gold Price Benchmark Dataset}, year={2023}, volume={}, number={}, pages={1-7}, doi={10.1109/ICECCME57830.2023.10252987}}

Brazil Index: Real Estate Investment Fund Index: IFIX: USD data was reported at 603.000 30Dec2010=1000 in Apr 2025. This records an increase from the previous number of 577.000 30Dec2010=1000 for Mar 2025. Brazil Index: Real Estate Investment Fund Index: IFIX: USD data is updated monthly, averaging 578.500 30Dec2010=1000 from Jan 2013 (Median) to Apr 2025, with 148 observations. The data reached an all-time high of 812.000 30Dec2010=1000 in Jan 2013 and a record low of 327.000 30Dec2010=1000 in Jan 2016. Brazil Index: Real Estate Investment Fund Index: IFIX: USD data remains active status in CEIC and is reported by B3 S.A. - Brasil, Bolsa, Balcão. The data is categorized under Brazil Premium Database’s Financial Market – Table BR.ZA003: B3 S.A. – Brasil, Bolsa, Balcao: Index: USD.

Index Construction Platform Market Outlook

According to our latest research, the global Index Construction Platform market size reached USD 1.42 billion in 2024, with a robust year-on-year growth trajectory. The market is expected to expand at a CAGR of 12.1% from 2025 to 2033, reaching a projected value of USD 3.98 billion by 2033. This growth is primarily driven by the increasing demand for sophisticated index solutions amid the proliferation of passive investing and the surge in customized investment products across asset management and financial services sectors.

A key growth factor for the Index Construction Platform market is the accelerated adoption of advanced analytics and automation within the financial sector. As institutional investors and asset managers seek to optimize portfolio performance and reduce operational inefficiencies, the need for platforms that can support the rapid construction, backtesting, and deployment of indices has intensified. The integration of artificial intelligence and machine learning into index construction processes enables the creation of more dynamic and responsive indices, catering to the evolving strategies of modern portfolio managers. Furthermore, regulatory developments demanding greater transparency and compliance in index methodologies are prompting financial institutions to invest in robust, auditable, and scalable index construction solutions.

Another significant driver is the surge in demand for customized and thematic indices, which is reshaping the landscape of index investing. Traditional market-cap-weighted indices are increasingly being supplemented or replaced by bespoke indices tailored to specific investment themes, ESG criteria, or factor exposures. Asset management firms are leveraging index construction platforms to create differentiated products that address client-specific requirements, fueling the growth of the market. The rise of ETFs and other index-linked investment vehicles has further amplified the need for agile, scalable platforms capable of handling complex multi-asset and cross-regional index construction, enhancing the overall value proposition for both institutional and retail investors.

The digital transformation of the financial services industry is also playing a pivotal role in market expansion. Cloud-based index construction platforms are gaining traction due to their scalability, cost-effectiveness, and ability to support real-time collaboration across geographically dispersed teams. These platforms facilitate seamless integration with existing portfolio management and trading systems, enabling end-users to streamline operations and accelerate time-to-market for new index products. Additionally, the increasing penetration of fintech innovation and the emergence of new entrants offering disruptive index solutions are intensifying competition and driving continuous technological advancement within the market.

Regionally, North America continues to dominate the Index Construction Platform market, accounting for the largest share in 2024, supported by the presence of major financial institutions, asset management firms, and technology providers. Europe follows closely, with strong growth fueled by regulatory reforms such as MiFID II and an increasing focus on ESG and sustainable investing. The Asia Pacific region is witnessing the fastest growth, driven by the rapid development of capital markets, rising adoption of passive investment strategies, and the expansion of digital financial infrastructure. Latin America and the Middle East & Africa are also showing promising potential, albeit from a lower base, as financial markets mature and local players embrace advanced index construction technologies.

Component Analysis

The Component segment of the Index Construction Platform market is bifurcated into Software and Services. The software component forms the backbone of index construction, offering robust functionalities for data aggregation, rules-based index creation, backtesting, and real-time calculation. With the growing complexity of indices and the increasing demand for customization, software solutions are being enhanced with advanced analytics, AI-driven insights, and intuitive user interfaces. This is enabling asset managers and financial institutions to rapidly develop and iterate new index strategies, ensuring alignment with evolving market

Snapshot img

Mutual Funds Market Size 2025-2029

The mutual funds market size is valued to increase USD 85.5 trillion, at a CAGR of 9.9% from 2024 to 2029. Market liquidity will drive the mutual funds market.

Major Market Trends & Insights

North America dominated the market and accounted for a 52% growth during the forecast period.
By Type - Stock funds segment was valued at USD 50.80 trillion in 2023
By Distribution Channel - Advice channel segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 151.38 trillion
Market Future Opportunities: USD 85.50 trillion
CAGR : 9.9%
North America: Largest market in 2023

Market Summary

The market represents a dynamic and ever-evolving financial landscape, characterized by continuous growth and innovation. With core technologies such as artificial intelligence and machine learning increasingly shaping investment strategies, mutual funds have become a preferred choice for individual and institutional investors alike. According to recent reports, mutual fund assets under management globally reached an impressive 61.8 trillion USD as of 2021, underscoring the market's substantial size and influence. However, the market is not without challenges. Transaction risks, regulatory compliance, and competition from alternative investment vehicles remain significant hurdles.
Despite these challenges, opportunities abound, particularly in developing nations where mutual fund adoption rates have been on the rise. For instance, mutual fund assets in Asia Pacific grew by 15.3% in 2020, outpacing the global average. As market liquidity continues to improve and regulatory frameworks evolve, the market is poised for further expansion and transformation.

What will be the Size of the Mutual Funds Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Mutual Funds Market Segmented and what are the key trends of market segmentation?

The mutual funds industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD trillion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Stock funds
  Bond funds
  Money market funds
  Hybrid funds


Distribution Channel

  Advice channel
  Retirement plan channel
  Institutional channel
  Direct channel
  Supermarket channel


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    Spain
    UK


  APAC

    Australia
    China
    India


  Rest of World (ROW)

By Type Insights

The stock funds segment is estimated to witness significant growth during the forecast period.

Mutual funds, specifically those investing in stocks, constitute a significant segment of the financial market. These funds exhibit diverse characteristics, catering to various investor preferences. For instance, growth funds prioritize stocks with high growth potential, while income funds focus on securities yielding regular dividends. Index funds mirror a specific market index, such as the S&P 500, and sector funds zero in on a particular industry sector. Share classes within mutual funds differ based on the share of investment. For example, large-cap funds allocate a minimum of 80% of their assets to large-cap companies, which represent the top 100 firms in terms of market capitalization.

Investors can opt for dividend reinvestment plans, enabling them to reinvest their dividends to maximize returns. Tax-efficient investing strategies, such as tax-loss harvesting, help minimize tax liabilities. Bond fund yields and currency exchange risk are essential considerations for investors in bond funds. Risk management strategies, including diversification and asset allocation models, play a crucial role in mitigating potential losses. Fund manager expertise and regulatory compliance frameworks are essential factors for investors. Hedge fund strategies, financial statement audits, actively managed funds, and passive investment strategies all contribute to the evolving mutual fund landscape. Expense ratios, asset allocation models, capital gains distributions, and portfolio rebalancing techniques are essential metrics for evaluating mutual fund performance.

Inflation-adjusted returns and equity fund volatility are crucial for long-term investment planning. Alternative investment funds and exchange-traded funds (ETFs) offer additional investment opportunities, with global diversification benefits and passive investment strategies gaining popularity. Nav calculation methods and passive investment strategies further broaden the scope of mutual fund investments. According to recent studies, stock mutual fund adoption stands at 35%, with expectations of a 21% increase in industry participation over the next five years. Meanwhil

According to Cognitive Market Research, the global index fund market size was 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, ...

Index Construction Platform Market Outlook

According to our latest research, the global Index Construction Platform market size reached USD 1.42 billion in 2024, with a robust compound annual growth rate (CAGR) of 10.7%. This growth trajectory positions the market to achieve an estimated value of USD 3.52 billion by 2033. The primary growth driver for the Index Construction Platform market in 2024 is the increasing demand for advanced, customizable, and automated index construction solutions among asset managers and financial institutions worldwide, coupled with the rapid digitization of the financial sector.

The Index Construction Platform market is witnessing significant growth due to the rising complexity and diversity of investment products, which require sophisticated and flexible index construction tools. As global investors shift towards more passive and rules-based strategies, the need for platforms that can efficiently handle large data sets, apply complex methodologies, and deliver real-time analytics is more pressing than ever. Additionally, the proliferation of thematic and ESG (Environmental, Social, and Governance) indices has further fueled demand for platforms capable of supporting bespoke index creation. These platforms enable financial institutions to differentiate their offerings, respond quickly to market trends, and provide clients with tailored investment solutions, thereby driving market expansion.

Another critical factor contributing to the market's growth is the integration of advanced technologies such as artificial intelligence (AI), machine learning, and cloud computing into index construction platforms. These technologies enhance automation, improve data accuracy, and enable seamless scalability, making it easier for users to manage complex index portfolios. The adoption of cloud-based solutions, in particular, has democratized access to sophisticated index construction tools, allowing smaller asset managers and emerging market participants to compete with larger incumbents. Moreover, regulatory changes and the increasing emphasis on transparency and compliance have prompted financial institutions to adopt platforms that can ensure auditability and adherence to evolving standards, further propelling market growth.

The surge in demand for custom and thematic indices, especially among institutional investors such as pension funds, insurance companies, and hedge funds, has created new avenues for growth in the Index Construction Platform market. These end-users are seeking platforms that offer high degrees of customization, integration with portfolio management systems, and robust risk analytics. The trend towards multi-asset and cross-asset index strategies is also driving the need for platforms that can seamlessly handle diverse asset classes and geographic exposures. As competition intensifies, vendors are increasingly focusing on enhancing user experience, expanding data coverage, and offering value-added services such as back-testing and scenario analysis to retain and attract clients.

Direct Indexing is becoming an increasingly popular strategy among investors seeking to personalize their portfolios while maintaining the benefits of index investing. Unlike traditional index funds, which aggregate a basket of securities, Direct Indexing allows investors to directly own individual securities that make up an index. This approach provides greater flexibility in tax management, as investors can harvest tax losses on individual securities, potentially improving after-tax returns. Additionally, Direct Indexing enables investors to tailor their portfolios to reflect personal values or investment goals, such as excluding certain industries or emphasizing ESG criteria. As the demand for personalized investment solutions grows, Direct Indexing is poised to play a significant role in the evolution of the Index Construction Platform market.

Regionally, North America remains the largest market for Index Construction Platforms, driven by the presence of major financial institutions, advanced technological infrastructure, and a strong culture of innovation. Europe follows closely, benefiting from the region's mature asset management industry and regulatory initiatives supporting transparency and investor protection. The Asia Pacific region is emerging as a high-growth market, fueled by the rapid expans

Hong Kong HK Investment Fund: Sale: Equity Index Funds data was reported at 49.270 USD mn in Aug 2018. This records a decrease from the previous number of 71.980 USD mn for Jul 2018. Hong Kong HK Investment Fund: Sale: Equity Index Funds data is updated monthly, averaging 44.715 USD mn from Jan 2005 (Median) to Aug 2018, with 164 observations. The data reached an all-time high of 384.710 USD mn in Jan 2018 and a record low of 2.770 USD mn in Apr 2009. Hong Kong HK Investment Fund: Sale: Equity Index Funds data remains active status in CEIC and is reported by Hong Kong Investment Funds Association. The data is categorized under Global Database’s Hong Kong – Table HK.Z038: HK Investment Funds Association Statistics. Equity Index Funds - includes index funds such as 'China Index Fund', 'Hang Seng Index Fund', or 'Europe Index Fund', etc.

Index Time Series for iShares USD Green Bond ETF. The frequency of the observation is daily. Moving average series are also typically included. The fund seeks to track the investment results of the underlying index, which measures the performance of U.S. dollar-denominated investment-grade green bonds issued by U.S. and non-U.S. issuers to fund projects with direct environmental benefits.

Index Time Series for Goldman Sachs Access U.S. Aggregate Bond ETF. The frequency of the observation is daily. Moving average series are also typically included. The fund seeks to achieve its investment objective by investing at least 80% of its assets (exclusive of collateral held from securities lending) in securities included in its underlying index. The index is a rules-based index that is designed to measure the performance of investment grade, U.S. dollar ("USD")-denominated bonds issued in the United States that meet certain liquidity criteria.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 800 companies listed on the Canadian Securities Exchange (XCNQ) in Canada. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for Canada:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in Canada:

S&P/TSX Composite Index: The primary stock market index in Canada, tracking the performance of domestic companies listed on the Toronto Stock Exchange (TSX). It provides a comprehensive view of the Canadian equity market.

Canadian Dollar (CAD): The official currency of Canada, used for transactions and trade within the country. The Canadian Dollar is also widely traded in international foreign exchange markets.

Bank of Canada: Canada's central bank responsible for monetary policy, currency issuance, and overall financial system stability. It plays a critical role in managing the country's economic and financial well-being.

Royal Bank of Canada (RBC): One of the largest and most prominent banks in Canada, offering a wide range of financial services to individuals, businesses, and institutions. RBC is a key player in the Canadian banking sector.

Canadian Government Bonds: Debt securities issued by the Canadian government to finance its operations and projects. These bonds are considered relatively safe investments and play a significant role in the country's capital markets.

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

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Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in Canada ?

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

1. How complete is the End-of-Day Pricing Data coverage in Canada?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Canada exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Techsalerator accepts various payment methods, including credit cards, direct tran...