100+ datasets found
  1. What is forex trading? (Forecast)

    • kappasignal.com
    Updated May 17, 2023
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    KappaSignal (2023). What is forex trading? (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/what-is-forex-trading.html
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    Dataset updated
    May 17, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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.

    What is forex trading?

    Financial data:

    • 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)

    Machine learning features:

    • 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)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • 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

    Additional Notes:

    • 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

  2. Foreign Exchange Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    Updated Dec 15, 2024
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    Technavio (2024). Foreign Exchange Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (Germany, Switzerland, UK), Middle East and Africa (UAE), APAC (China, India, Japan), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/foreign-exchange-market-industry-analysis
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States, Global
    Description

    Snapshot img

    Foreign Exchange Market Size 2025-2029

    The foreign exchange market size is forecast to increase by USD 582 billion, at a CAGR of 10.6% between 2024 and 2029.

    The Foreign Exchange Market is segmented by type (reporting dealers, financial institutions, non-financial customers), trade finance instruments (currency swaps, outright forward and FX swaps, FX options), trading platforms (electronic trading, over-the-counter (OTC), mobile trading), and geography (North America: US, Canada; Europe: Germany, Switzerland, UK; Middle East and Africa: UAE; APAC: China, India, Japan; South America: Brazil; Rest of World). This segmentation reflects the market's global dynamics, driven by institutional trading, increasing digital adoption through electronic trading and mobile trading, and regional economic activities, with APAC markets like India and China showing significant growth alongside traditional hubs like the US and UK.
    The market is experiencing significant shifts driven by the escalating trends of urbanization and digitalization. These forces are creating 24x7 trading opportunities, enabling greater accessibility and convenience for market participants. However, the market's dynamics are not without challenges. The uncertainty of future exchange rates poses a formidable obstacle for businesses and investors alike, necessitating robust risk management strategies. As urbanization continues to expand and digital technologies reshape the trading landscape, market players must adapt to remain competitive. One significant trend is the increasing use of money transfer agencies, venture capital investments, and mutual funds in foreign exchange transactions. Companies seeking to capitalize on these opportunities must navigate the challenges effectively, ensuring they stay abreast of exchange rate fluctuations and implement agile strategies to mitigate risk.
    The ability to adapt and respond to these market shifts will be crucial for success in the evolving market.
    

    What will be the Size of the Foreign Exchange Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic and intricate realm of the market, entities such as algorithmic trading, order book, order management systems, and liquidity risk intertwine, shaping the ever-evolving market landscape. The market's continuous unfolding is characterized by the integration of various components, including sentiment analysis, Fibonacci retracement, mobile trading, and good-for-the-day orders. Market activities are influenced by factors like political stability, monetary policy, and market liquidity, which in turn impact economic growth and trade settlement. Technical analysis, with its focus on chart patterns and moving averages, plays a crucial role in informing trading decisions. The market's complexity is further amplified by the presence of entities like credit risk, counterparty risk, and operational risk.

    Central bank intervention, order execution, clearing and settlement, and trade confirmation are essential components of the market's infrastructure, ensuring a seamless exchange of currencies. Geopolitical risk, currency correlation, and inflation rates contribute to currency volatility, necessitating hedging strategies and risk management. Market risk, interest rate differentials, and commodity currencies influence trading strategies, while cross-border payments and brokerage services facilitate international trade. The ongoing evolution of the market is marked by the emergence of advanced trading platforms, automated trading, and real-time data feeds, enabling traders to make informed decisions in an increasingly interconnected and complex global economy.

    How is this Foreign Exchange Industry segmented?

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

    Type
    
      Reporting dealers
      Financial institutions
      Non-financial customers
    
    
    Trade Finance Instruments
    
      Currency swaps
      Outright forward and FX swaps
      FX options
    
    
    Trading Platforms
    
      Electronic Trading
      Over-the-Counter (OTC)
      Mobile Trading
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        Germany
        Switzerland
        UK
    
    
      Middle East and Africa
    
        UAE
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Type Insights

    The reporting dealers segment is estimated to witness significant growth during the forecast period.

    The market is a dynamic and complex ecosystem where various entities interplay to manage currency risks and facilitate international trade. Reporting dealers, as key participants,

  3. Forex Trading: Understanding the Dynamics of the Global Currency Market...

    • kappasignal.com
    Updated May 25, 2023
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    KappaSignal (2023). Forex Trading: Understanding the Dynamics of the Global Currency Market (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/forex-trading-understanding-dynamics-of.html
    Explore at:
    Dataset updated
    May 25, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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.

    Forex Trading: Understanding the Dynamics of the Global Currency Market

    Financial data:

    • 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)

    Machine learning features:

    • 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)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • 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

    Additional Notes:

    • 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

  4. F

    Foreign Exchange Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Feb 13, 2025
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    Data Insights Market (2025). Foreign Exchange Market Report [Dataset]. https://www.datainsightsmarket.com/reports/foreign-exchange-market-19571
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The foreign exchange (Forex) market is a global decentralized market for the trading of currencies. It is the largest financial market in the world, with an average daily trading volume of over $5 trillion. The market size is expected to reach $84 million by 2033, growing at a CAGR of 5.83% during the forecast period 2025-2033. Key drivers of the Forex market growth include increasing international trade, rising foreign direct investment, and growing demand for hedging and speculation. The market is also being driven by the increasing use of online trading platforms and the growing popularity of cryptocurrencies. The major players in the Forex market include Deutsche Bank, UBS, JP Morgan, State Street, XTX Markets, Jump Trading, Citi, Bank of New York Mellon, Bank America, and Goldman Sachs. The market is segmented by type (spot Forex, currency swap, outright forward, Forex swaps, Forex options, other types), counterparty (reporting dealers, other financial institutions, non-financial customers), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). Recent developments include: In November 2023, JP Morgan revealed the introduction of novel FX Warrants denominated in Hong Kong dollars in the Hong Kong market, marking its status as the inaugural issuer in Asia to present FX Warrants featuring CNH/HKD (Chinese Renminbi traded outside Mainland China/Hong Kong dollar) and JPY/HKD (Japanese Yen/Hong Kong dollar) as underlying currency pairs. These fresh FX Warrants are set to commence trading on the Hong Kong Stock Exchange., In October 2023, Deutsche Bank AG finalized its purchase of Numis Corporation Plc. The integration of both brands under the name 'Deutsche Numis' underscores their collective influence and standing in the UK and global markets. 'Deutsche Numis' emerges as a prominent entity in UK investment banking and the preferred advisor for UK-listed companies. This acquisition aligns with Deutsche Bank's Global Hausbank strategy, aiming to become the primary partner for clients in financial services and fostering stronger relationships with corporations throughout the United Kingdom., In June 2023, UBS successfully finalized the acquisition of Credit Suisse, marking a significant achievement. Credit Suisse Group AG has merged into UBS Group AG, forming a unified banking entity.. Key drivers for this market are: International Transactions Driven by Growing Tourism Driving Market Demand, Market Liquidity Impacting the Foreign Exchange Market. Potential restraints include: International Transactions Driven by Growing Tourism Driving Market Demand, Market Liquidity Impacting the Foreign Exchange Market. Notable trends are: FX Swaps is leading the market.

  5. S

    Sweden NIER Forecast: Exchange Rate: US Dollar

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Sweden NIER Forecast: Exchange Rate: US Dollar [Dataset]. https://www.ceicdata.com/en/sweden/foreign-exchange-rate-forecast-national-institute-of-economic-research/nier-forecast-exchange-rate-us-dollar
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2017 - Dec 1, 2028
    Area covered
    Sweden
    Description

    Sweden NIER Forecast: Exchange Rate: US Dollar data was reported at 7.500 SEK/USD in 2028. This records a decrease from the previous number of 7.600 SEK/USD for 2027. Sweden NIER Forecast: Exchange Rate: US Dollar data is updated yearly, averaging 7.400 SEK/USD from Dec 1971 (Median) to 2028, with 58 observations. The data reached an all-time high of 10.300 SEK/USD in 2001 and a record low of 4.200 SEK/USD in 1980. Sweden NIER Forecast: Exchange Rate: US Dollar data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.M020: Foreign Exchange Rate: Forecast: National Institute of Economic Research.

  6. T

    United States Dollar Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). United States Dollar Data [Dataset]. https://tradingeconomics.com/united-states/currency
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 4, 1971 - Jul 14, 2025
    Area covered
    United States
    Description

    The DXY exchange rate rose to 97.9584 on July 14, 2025, up 0.11% from the previous session. Over the past month, the United States Dollar has weakened 0.32%, and is down by 6.03% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on July of 2025.

  7. The Grays Currency Price Prediction for Jun 26, 2025

    • coinunited.io
    Updated Jun 25, 2025
    + more versions
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    CoinUnited.io (2025). The Grays Currency Price Prediction for Jun 26, 2025 [Dataset]. https://coinunited.io/en/data/prices/crypto/the-grays-currency-ptgc/price-prediction
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    CoinUnited.io
    License

    https://coinunited.io/termshttps://coinunited.io/terms

    Variables measured
    baseCasePrice, tradingSignal, predictionDate, bearishCasePrice, bullishCasePrice, priceChangePercentage
    Description

    Detailed price prediction analysis for The Grays Currency on Jun 26, 2025, including bearish case ($0), base case ($0), and bullish case ($0) scenarios with Buy trading signal based on technical analysis and market sentiment indicators.

  8. m

    Global Forex Trading Platform Market Share, Size & Industry Analysis 2033

    • marketresearchintellect.com
    Updated Jul 6, 2025
    + more versions
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    Market Research Intellect (2025). Global Forex Trading Platform Market Share, Size & Industry Analysis 2033 [Dataset]. https://www.marketresearchintellect.com/product/global-forex-trading-platform-market-size-and-forecast/
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    Dataset updated
    Jul 6, 2025
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy

    Area covered
    Global
    Description

    Get key insights from Market Research Intellect's Forex Trading Platform Market Report, valued at USD 20 billion in 2024, and forecast to grow to USD 40 billion by 2033, with a CAGR of 8.5% (2026-2033).

  9. Russia MED Forecast: Foreign Exchange Rate: Year Average: US Dollar:...

    • ceicdata.com
    + more versions
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    CEICdata.com, Russia MED Forecast: Foreign Exchange Rate: Year Average: US Dollar: Baseline Scenario [Dataset]. https://www.ceicdata.com/en/russia/foreign-exchange-rate-year-average-us-dollar-forecast-ministry-of-economic-development/med-forecast-foreign-exchange-rate-year-average-us-dollar-baseline-scenario
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2025 - Dec 1, 2036
    Area covered
    Russia
    Description

    Russia MED Forecast: Foreign Exchange Rate: Year Average: US Dollar: Baseline Scenario data was reported at 75.156 RUB/USD in 2036. This records an increase from the previous number of 74.739 RUB/USD for 2035. Russia MED Forecast: Foreign Exchange Rate: Year Average: US Dollar: Baseline Scenario data is updated yearly, averaging 69.636 RUB/USD from Dec 2016 (Median) to 2036, with 21 observations. The data reached an all-time high of 75.156 RUB/USD in 2036 and a record low of 58.335 RUB/USD in 2017. Russia MED Forecast: Foreign Exchange Rate: Year Average: US Dollar: Baseline Scenario data remains active status in CEIC and is reported by Ministry of Economic Development of the Russian Federation. The data is categorized under Global Database’s Russian Federation – Table RU.ME002: Foreign Exchange Rate: Year Average: US Dollar: Forecast: Ministry of Economic Development.

  10. Foreign Exchange Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Foreign Exchange Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/foreign-exchange-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Foreign Exchange Market Outlook



    The foreign exchange market, or forex market, is projected to experience robust growth over the coming years, with the market size anticipated to increase from approximately USD 2.4 trillion in 2023 to an estimated USD 3.5 trillion by 2032, reflecting a compound annual growth rate (CAGR) of 4.2%. This growth is driven by a combination of factors, including the increasing global trade activities, the rise of digital trading platforms, and the greater participation of retail investors. Furthermore, advancements in technology, particularly in electronic trading platforms, have democratized forex trading, making it more accessible to individual investors and contributing significantly to the market expansion.



    One of the primary growth factors for the foreign exchange market is the surge in international trade. As globalization continues to advance, businesses and governments are engaging in cross-border transactions more than ever before, necessitating currency exchanges. The need for hedging against foreign exchange risk is a crucial driver for forex demand, as businesses seek to mitigate the risks associated with currency fluctuations. Additionally, emerging markets are becoming increasingly significant players in global trade, leading to a greater volume of foreign exchange transactions. The increasing economic interdependence among nations has thus considerably bolstered the forex market.



    The proliferation of digital trading platforms has also played a pivotal role in the forex market's growth. Innovations in financial technology have revolutionized trading environments, making them more efficient and user-friendly. The rise of electronic trading platforms has allowed for seamless transactions and real-time exchange rate monitoring, attracting a larger number of individual investors to the market. This technological enhancement has not only increased market liquidity but has also improved transaction speed and accuracy, thereby increasing the overall appeal of forex trading to a broader audience, including retail investors who were previously sidelined in such markets.



    Geopolitical developments and macroeconomic policies have substantial impacts on the foreign exchange market. Government regulations, monetary policies, and international economic agreements can lead to significant currency fluctuations, thus affecting forex trading volumes. Central banks around the world, with their monetary policies, directly influence currency values, impacting the forex market. Political events such as elections, trade wars, and global health crises like the COVID-19 pandemic have demonstrated their potential to create volatility in currency markets, driving up trading volumes as investors seek to capitalize on or hedge against these fluctuations.



    The regional outlook for the foreign exchange market highlights varying levels of growth across different geographies. North America leads the market, driven by the presence of major financial institutions and a high level of trading activity. Europe also holds a significant share due to its well-established financial markets and the presence of the Euro, a major global currency. The Asia Pacific region is poised for substantial growth, spurred by the economic rise of countries like China and India, which are increasingly engaging in international trade. Latin America and the Middle East & Africa, although smaller in market size, are expected to witness steady growth as they continue to integrate into the global economy and develop their financial infrastructures.



    Type Analysis



    The foreign exchange market is categorized by types such as spot, forward, swap, and options, each serving distinct purposes and client needs. Spot transactions, which involve the immediate exchange of currencies at current market rates, constitute a significant portion of forex trading due to their simplicity and liquidity. The ease with which spot trades can be executed provides a straightforward means for participants to engage in the forex market, catering predominantly to retail traders and smaller transactions. The immediacy of spot trading makes it particularly attractive for those seeking to capitalize on short-term currency fluctuations and provides a foundational understanding for many entering the forex market.



    Forward contracts represent another critical segment. These are agreements to exchange currencies at a future date at a predetermined rate, providing a hedge against future currency risk. Forward contracts are particularly valuable for corporations and financial institutions that engage in international

  11. T

    Mexican Peso Data

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, Mexican Peso Data [Dataset]. https://tradingeconomics.com/mexico/currency
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 17, 1972 - Jul 11, 2025
    Area covered
    Mexico
    Description

    The USD/MXN exchange rate rose to 18.6326 on July 11, 2025, up 0.18% from the previous session. Over the past month, the Mexican Peso has strengthened 1.34%, but it's down by 5.78% over the last 12 months. Mexican Peso - values, historical data, forecasts and news - updated on July of 2025.

  12. BITCOIN price prediction using a SARIMA model

    • kaggle.com
    Updated Feb 4, 2024
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    LucaMu79 (2024). BITCOIN price prediction using a SARIMA model [Dataset]. https://www.kaggle.com/datasets/lucamu79/bitcoin-price-prediction-using-a-sarima-model/discussion?sort=undefined
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 4, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    LucaMu79
    Description

    Dataset

    This dataset was created by LucaMu79

    Contents

  13. F

    Forex Trading Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 10, 2025
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    Archive Market Research (2025). Forex Trading Software Report [Dataset]. https://www.archivemarketresearch.com/reports/forex-trading-software-17261
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Feb 10, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Market Overview The global Forex Trading Software market size was valued at USD 852 million in 2019 and is projected to grow at a CAGR of XX% during the forecast period (2025-2033). The growth of the market is primarily driven by increasing adoption of cloud-based software and automation in trading, rising demand for personalized trading experiences, and proliferation of mobile trading applications. The growth of the on-premises software segment is expected to be restrained by higher implementation costs and limited flexibility compared to cloud-based solutions. Regional Outlook Asia Pacific is expected to account for the largest market share by 2033, owing to increasing penetration of smartphones and digitalization in the region. North America is expected to hold a significant share of the market due to advanced financial infrastructure and high adoption of technology in the region. Europe and the Middle East & Africa are also expected to witness significant growth during the forecast period. The Middle East & Africa region is expected to be driven by rising disposable income and increased government initiatives to promote financial inclusion.

  14. T

    Brazilian Real Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Brazilian Real Data [Dataset]. https://tradingeconomics.com/brazil/currency
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 21, 1992 - Jul 14, 2025
    Area covered
    Brazil
    Description

    The USD/BRL exchange rate rose to 5.5697 on July 14, 2025, up 0.20% from the previous session. Over the past month, the Brazilian Real has weakened 1.41%, and is down by 2.22% over the last 12 months. Brazilian Real - values, historical data, forecasts and news - updated on July of 2025.

  15. Bitcoin Prices and Technical Variables

    • figshare.com
    txt
    Updated Dec 11, 2018
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    Leonardo Felizardo; Diego Cardoso; Roberth Oliveira (2018). Bitcoin Prices and Technical Variables [Dataset]. http://doi.org/10.6084/m9.figshare.7445855.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Dec 11, 2018
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Leonardo Felizardo; Diego Cardoso; Roberth Oliveira
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The selected variables were chosen base on the literature for time series of stock prices prediction or Forex (currency) prediction. The analises test only variables associated with the price like Bitcoin close, open, high and low price and volumn (for one representative exchange). Like Chen and Bahar, we used moving average of the variables to generate new variables in order to capture other information that could be hidden due the high noise generate characteristic of a high volatile asset. Also, like \cite{Bahar2016}, we use Gold an Death Cross, that are very common data for technical analysis.

  16. Mexico BDM Forecast: Exchange Rate against US$: Average

    • ceicdata.com
    Updated Dec 15, 2022
    + more versions
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    CEICdata.com (2022). Mexico BDM Forecast: Exchange Rate against US$: Average [Dataset]. https://www.ceicdata.com/en/mexico/foreign-exchange-rates-forecast/bdm-forecast-exchange-rate-against-us-average
    Explore at:
    Dataset updated
    Dec 15, 2022
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 1, 2019 - Mar 1, 2020
    Area covered
    Mexico
    Description

    Mexico BDM Forecast: Exchange Rate against US$: Average data was reported at 19.940 MXN/USD in Mar 2020. This records an increase from the previous number of 19.890 MXN/USD for Feb 2020. Mexico BDM Forecast: Exchange Rate against US$: Average data is updated monthly, averaging 12.310 MXN/USD from Feb 1999 (Median) to Mar 2020, with 254 observations. The data reached an all-time high of 21.420 MXN/USD in Jan 2017 and a record low of 9.130 MXN/USD in Apr 2002. Mexico BDM Forecast: Exchange Rate against US$: Average data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.M006: Foreign Exchange Rates: Forecast.

  17. L

    Luxembourg STATEC Forecast: Foreign Exchange Rate: US Dollar

    • ceicdata.com
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    CEICdata.com, Luxembourg STATEC Forecast: Foreign Exchange Rate: US Dollar [Dataset]. https://www.ceicdata.com/en/luxembourg/foreign-exchange-rate-forecast-the-portal-of-statistics-of-luxembourg/statec-forecast-foreign-exchange-rate-us-dollar
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2017 - Dec 1, 2018
    Area covered
    Luxembourg
    Description

    Luxembourg STATEC Forecast: Foreign Exchange Rate: US Dollar data was reported at 1.180 USD/EUR in 2018. This records an increase from the previous number of 1.130 USD/EUR for 2017. Luxembourg STATEC Forecast: Foreign Exchange Rate: US Dollar data is updated yearly, averaging 1.155 USD/EUR from Dec 2017 (Median) to 2018, with 2 observations. The data reached an all-time high of 1.180 USD/EUR in 2018 and a record low of 1.130 USD/EUR in 2017. Luxembourg STATEC Forecast: Foreign Exchange Rate: US Dollar data remains active status in CEIC and is reported by The Portal of Statistics of Luxembourg. The data is categorized under Global Database’s Luxembourg – Table LU.M009: Foreign Exchange Rate: Forecast: The Portal of Statistics of Luxembourg.

  18. T

    Chinese Yuan Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jan 4, 2017
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    TRADING ECONOMICS (2017). Chinese Yuan Data [Dataset]. https://tradingeconomics.com/china/currency
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jan 4, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 2, 1981 - Jul 14, 2025
    Area covered
    China
    Description

    The USD/CNY exchange rate fell to 7.1702 on July 14, 2025, down 0.03% from the previous session. Over the past month, the Chinese Yuan has strengthened 0.17%, and is up by 1.42% over the last 12 months. Chinese Yuan - values, historical data, forecasts and news - updated on July of 2025.

  19. t

    Foreign Exchange Market Demand, Size and Competitive Analysis | TechSci...

    • techsciresearch.com
    Updated Jan 21, 2025
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    TechSci Research (2025). Foreign Exchange Market Demand, Size and Competitive Analysis | TechSci Research [Dataset]. https://www.techsciresearch.com/report/foreign-exchange-market/27243.html
    Explore at:
    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    TechSci Research
    License

    https://www.techsciresearch.com/privacy-policy.aspxhttps://www.techsciresearch.com/privacy-policy.aspx

    Description

    The global foreign exchange market was valued at USD 0.93 Trillion in 2024 and is expected to reach USD 1.16 Trillion by 2030 with a CAGR of 3.8% during the forecast period.

    Pages180
    Market Size2024: USD 0.93 Trillion
    Forecast Market Size2030: USD 1.16 Trillion
    CAGR2025-2030: 3.8%
    Fastest Growing SegmentCurrency Swap
    Largest MarketNorth America
    Key Players1 Deutsche Bank AG 2 UBS Group AG 3 JPMorgan Chase & Co. 4 State Street Corporation 5 XTX Markets Limited 6 Jump Trading LLC 7 Citigroup Inc. 8 The Bank of New York Mellon Corporation 9 Bank of America Corporation 10 The Goldman Sachs Group, Inc.

  20. Mexico BDM Forecast: Exchange Rate against US$: Median: Plus 2 Months

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Mexico BDM Forecast: Exchange Rate against US$: Median: Plus 2 Months [Dataset]. https://www.ceicdata.com/en/mexico/foreign-exchange-rates-forecast/bdm-forecast-exchange-rate-against-us-median-plus-2-months
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 1, 2018 - Mar 1, 2019
    Area covered
    Mexico
    Description

    Mexico BDM Forecast: Exchange Rate against US$: Median: Plus 2 Months data was reported at 19.390 MXN/USD in Mar 2019. This records a decrease from the previous number of 19.420 MXN/USD for Feb 2019. Mexico BDM Forecast: Exchange Rate against US$: Median: Plus 2 Months data is updated monthly, averaging 12.030 MXN/USD from Jan 1999 (Median) to Mar 2019, with 243 observations. The data reached an all-time high of 21.600 MXN/USD in Jan 2017 and a record low of 9.160 MXN/USD in Mar 2002. Mexico BDM Forecast: Exchange Rate against US$: Median: Plus 2 Months data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.M006: Foreign Exchange Rates: Forecast.

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KappaSignal (2023). What is forex trading? (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/what-is-forex-trading.html
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What is forex trading? (Forecast)

Explore at:
Dataset updated
May 17, 2023
Dataset authored and provided by
KappaSignal
License

https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

Description

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.

What is forex trading?

Financial data:

  • 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)

Machine learning features:

  • 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)

Potential Applications:

  • Stock price prediction

  • Portfolio optimization

  • Algorithmic trading

  • Market sentiment analysis

  • Risk management

Use Cases:

  • 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

Additional Notes:

  • 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

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