High Frequency trading dataset copyright FirstRateData.com

What's new:

Add tick dataset :)
Add transaction fee
The model needs to learn how to avoid the cost from transaction fee, which means it should avoid buying too many times
You can add a supplimentary model for Qnet (No consideration for transaction fee), and let it consider the transaction cost
A trail model will be: Use a LSTM and input action and output the same way with loss = loss-transaction fee
The model simply decide whether to execute this order or just stay. Buy and sell are determined by Qnet
Add drop trend dataset

Quant Fund Market Outlook

As of 2023, the global quant fund market size is estimated to be USD 1.2 trillion, with a projected CAGR of 8.5% leading to an anticipated market size of approximately USD 2.47 trillion by 2032. The rising adoption of algorithmic trading and advanced analytics stands out as a key growth factor driving this remarkable proliferation. The integration of artificial intelligence (AI) and machine learning (ML) to enhance trading strategies has been transforming the landscape, providing unprecedented opportunities for growth and efficiency gains.

One of the primary growth factors for the quant fund market is the increasing reliance on data-driven decision-making in financial markets. Institutional investors are progressively leveraging quantitative models to optimize their investment strategies, minimize risks, and capitalize on high-frequency trading opportunities. These sophisticated models, powered by AI and ML, allow for the processing of vast amounts of market data to uncover patterns and insights that would be nearly impossible to detect manually. This trend is expected to continue, further pushing the market's expansion.

Another significant factor contributing to the growth of the quant fund market is the technological advancements in computing power and data storage. The development of high-performance computing systems and the advent of cloud computing have enabled quantitative funds to process and analyze massive datasets in real-time. These technological innovations have not only enhanced the accuracy and efficiency of trading algorithms but also reduced the operational costs associated with running complex quantitative models. This evolution in technology is likely to sustain the market's growth trajectory in the coming years.

Furthermore, the increasing demand for diversification and risk management among investors is also driving the market's growth. Quantitative funds are designed to employ sophisticated strategies that aim to provide consistent returns while mitigating market risks. The ability to implement market-neutral strategies, statistical arbitrage, and trend-following techniques allows these funds to perform well even in volatile market conditions. This appeal of stable and diversified returns is attracting a broader range of investors, from institutional to retail, thereby expanding the market size.

The regional outlook for the quant fund market indicates that North America currently holds the largest market share, driven by the presence of numerous established quant funds and a mature financial ecosystem. However, the Asia Pacific region is anticipated to witness the highest growth rate over the forecast period, fueled by rapid economic development, increased adoption of advanced financial technologies, and a growing number of high-net-worth individuals seeking sophisticated investment solutions. Europe and Latin America are also expected to contribute significantly to the market growth, albeit at a slower pace compared to Asia Pacific.

Fund Type Analysis

The quant fund market can be segmented by fund type into equity funds, fixed income funds, multi-asset funds, and alternative funds. Within the equity funds segment, quantitative strategies have been particularly advantageous in identifying undervalued stocks and arbitrage opportunities, leading to a steady influx of investments. The application of machine learning algorithms to analyze stock performance and predict future trends has allowed equity-focused quant funds to generate consistent returns, attracting both institutional and retail investors.

Fixed income funds, on the other hand, have gained traction due to their ability to navigate the complexities of bond markets. Quantitative models in this segment are often employed to analyze interest rate movements, credit spreads, and economic indicators. The precision offered by these algorithms in predicting bond price movements has made fixed income quant funds a preferred choice for investors seeking stable returns with lower volatility compared to equity markets. Moreover, the inclusion of government and corporate bonds in their portfolios adds an additional layer of security for risk-averse investors.

Multi-asset funds, which combine equities, bonds, and other asset classes, have also seen significant growth. These funds leverage quantitative techniques to allocate assets dynamically based on market conditions. The ability to diversify across multiple asset classes while employing sophisticated risk management strategies makes multi-asset funds attractive to

When you need to analyze crypto market history, batch processing often beats streaming APIs. That's why we built the Flat Files S3 API - giving analysts and researchers direct access to structured historical cryptocurrency data without the integration complexity of traditional APIs.

Pull comprehensive historical data across 800+ cryptocurrencies and their trading pairs, delivered in clean, ready-to-use CSV formats that drop straight into your analysis tools. Whether you're building backtest environments, training machine learning models, or running complex market studies, our flat file approach gives you the flexibility to work with massive datasets efficiently.

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Market Coverage & Data Types: - Comprehensive historical data since 2010 (for chosen assets) - Comprehensive order book snapshots and updates - Trade-by-trade data

Technical Excellence: - 99,9% uptime guarantee - Standardized data format across exchanges - Flexible Integration - Detailed documentation - Scalable Architecture

CoinAPI serves hundreds of institutions worldwide, from trading firms and hedge funds to research organizations and technology providers. Our S3 delivery method easily integrates with your existing workflows, offering familiar access patterns, reliable downloads, and straightforward automation for your data team. Our commitment to data quality and technical excellence, combined with accessible delivery options, makes us the trusted choice for institutions that demand both comprehensive historical data and real-time market intelligence

The Global Health Investment Landscaping project database consists of information about impact-oriented and global health-supporting investment funds or capital providers with a focus on East Africa and India. The data contains basic information about the organizations identified including size, geographic focus, and type of organization as well as descriptions about their deals and investments.

Download Historical Tin 90 day forward (Trade Only) Cash Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

PowerMap U.S. is an innovative trading solutions, specializing in order flow analytics on U.S. Stock market. With its AI-inferred proprietary algorithm trained on market data, TradePulse predicts stock flow on using trade volume and buy intensity providing an additional key metric for decision-making while providing catalogue of alternative dataset on its platform.

Key Features: 💠 AI-driven order flow prediction based on trade volume and buy-side intensity 💠 Proprietary algorithms trained on historical and real-time U.S. equity data 💠 Real-time analytics across major U.S. exchanges (NYSE, NASDAQ, etc.) 💠 Integrated dashboard with visual flow indicators and trend detection 💠 Access to alternative datasets curated for quantitative and discretionary strategies 💠 Customizable signals aligned with trading styles (momentum, mean-reversion, etc.) 💠 Scalable infrastructure suitable for institutional-grade workflows

Primary Use Cases: 🔹 U.S.-focused hedge funds leveraging inferred flow data for intraday alpha 🔹 Quantitative traders integrating buy-side pressure metrics into models 🔹 Execution teams identifying optimal entry/exit points through real-time flow signals 🔹 Asset managers enhancing conviction through AI-derived trade behavior insights 🔹 Research analysts and PMs utilizing alternative datasets for cross-validation of ideas

Contact us for a real time order flow data in different markets. Stay ahead with TradePulse's order flow insights.

Download Historical Copper 90 day forward (Trade Only) Cash Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

Download Historical Lead 90 day forward (Trade Only) Cash Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 1000 companies listed on the Cayman Islands Stock Exchange (XCAY) in Cayman Islands. 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 Cayman Islands :

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 Cayman Islands:

Cayman Islands Stock Exchange (CSX) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Cayman Islands Stock Exchange. This index provides insights into the overall market performance of companies based in the Cayman Islands.

Cayman Islands Stock Exchange (CSX) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Cayman Islands Stock Exchange. This index reflects the performance of international companies that are listed and traded on the CSX.

Financial Services Corporation Cayman Trust Bank: A major financial institution based in the Cayman Islands, offering banking, investment, and wealth management services. This company's securities are listed and traded on the CSX.

Real Estate Development Group Cayman Properties: A prominent real estate development company operating in the Cayman Islands, involved in the construction of residential and commercial properties. This company's securities are listed on the CSX.

Offshore Investment Fund Cayman Capital: An offshore investment fund registered in the Cayman Islands, offering investment opportunities to both local and international investors. Units of this fund are traded on the CSX.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Cayman Islands, 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 Cayman Islands ?

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 Cayman Islands?

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 Cayman Islands 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 Botsw...

This data set shows the Flows of foreign direct investment in Malaysia by sector, 2008 - 2023 (Annual). Footnote: Credit refers to inflow of funds or amounts received by Malaysian direct investor from non-resident direct investment enterprise due to liquidation of investment abroad, loan transactions, trade credits and other capital receipts. Debit refers to outflow of funds or amounts extended by Malaysian direct investors to non-resident direct investment enterprise in the form of equity capital, reinvested earnings, loan transactions, trade credits, as well as other capital extensions. Data for year 2021 are Final Data for year 2022 are Revised Data for year 2023 are Preliminary from January - June 2023 Source: Department of Statistics Malaysia and Bank Negara Malaysia No. of Views : 251

Download Historical Zinc 90 day forward (Trade Only) Cash Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

Download Historical Aluminium 90 day forward (Trade Only) Cash Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

This data set shows the Flows of Direct Investment Abroad by Blocks of Countries, 2008 - 2023 (Q2) (Quarterly). Footnote : Credit refers to inflow of funds or amounts received by Malaysian direct investor from non-resident direct investment enterprise due to liquidation of investment abroad, loan transactions, trade credits and other capital receipts. Debit refers to outflow of funds or amounts extended by Malaysian direct investors to non-resident direct investment enterprise in the form of equity capital, reinvested earnings, loan transactions, trade credits, as well as other capital extensions. Data for year 2021 are Final Data for year 2022 are Revised Data for year 2023 are Preliminary from January-June 2023 Source: Department of Statistics Malaysia and Bank Negara Malaysia No. of Views : 68

TagX is your trusted partner for stock market and financial data solutions. We specialize in delivering real-time and end-of-day data feeds that power software, trading algorithms, and risk management systems globally. Whether you're a financial institution, hedge fund, or individual investor, our reliable datasets provide essential insights into market trends, historical pricing, and key financial metrics.

TagX is committed to precision and reliability in stock market data. Our comprehensive datasets include critical information such as date, open/close/high/low prices, trading volume, EPS, P/E ratio, dividend yield, and more. Tailor your dataset to match your specific requirements, choosing from a wide range of parameters and coverage options across primary listings on NASDAQ, AMEX, NYSE, and ARCA exchanges.

Key Features of TagX Stock Market Data:

Custom Dataset Requests: Customize your data feed to focus on specific metrics and parameters crucial to your trading strategy.

Extensive Coverage: Access data from reputable exchanges and market participants, ensuring accuracy and completeness in your analyses.

Flexible Pricing Models: Choose pricing structures based on your selected parameters, offering cost-effective solutions tailored to your needs.

Why Choose TagX? Partner with TagX for precise, dependable, and customizable stock market data solutions. Whether you require real-time updates or end-of-day valuations, our datasets are designed to support informed decision-making and enhance your competitive edge in the financial markets. Trust TagX to deliver the data integrity and accuracy essential for maximizing your trading potential.

The Planning and Development Fund (the Fund) enables the strategic planning, design and delivery of quality public space that is essential to healthy, liveable communities. The Planning and Development Fund also provides grants to improve access to public open spaces. The Fund operates under the Planning, Development and Infrastructure Act 2016 (the Act) and provides the means for open space and public realm investment across South Australia. Money paid into the Fund is derived from monetary payments in lieu of open space requirements for development involving the division of land into 20 or fewer allotments and also for strata and community titles. The Fund is expended in line with provisions within the Act and is administered by the Office for Design and Architecture SA within the Department for Trade and Investment. The Fund enables the South Australian Government to adopt a state-wide approach to strategically implement open space and public realm projects. While supporting the Minister for Planning to acquire, manage and develop land for open space, the Fund provides grant funding opportunities for local government through the Open Space Grant Program. Open Space Grant Program Access to quality public open space continues to be increasingly important to ensure South Australia remains liveable, healthy and sustainable, particularly in the context of increasing residential infill in existing neighbourhoods. During the Grant Program opening period, councils are encouraged to apply for grants, to assist with the purchase and enhancement of public open space, accessible to the community. The purpose of this data is to show the location of Planning and Development Fund investment. For more information see: https://plan.sa.gov.au/our_planning_system/schemes/planning_and_development_fund

This data set shows the Flows of Direct Investment (Assets) by Blocks of Countries, 2008 - 2023 (Annually). Footnote: Credit refers to inflow of funds or amounts received by Malaysian direct investor from non-resident direct investment enterprise due to liquidation of investment abroad, loan transactions, trade credits and other capital receipts. Debit refers to outflow of funds or amounts extended by Malaysian direct investors to non-resident direct investment enterprise in the form of equity capital, reinvested earnings, loan transactions, trade credits, as well as other capital extensions. Data for year 2021 are Final Data for year 2022 are Revised Data for year 2023 are preliminary from January - June 2023 Source: Department of Statistics Malaysia and Bank Negara Malaysia No. of Views : 44

This data set shows the Flows of Direct Investment (Assets) by Sector, 2008 - 2023 (Annually). Footnote : Sector is based on sector of Malaysian direct investor. Financial and Insurance/Takaful Activities Include investments by holding companies. Credit refers to inflow of funds or amounts received by Malaysian direct investor from non-resident direct investment enterprise due to liquidation of investment abroad, loan transactions, trade credits and other capital receipts. Debit refers to outflow of funds or amounts extended by Malaysian direct investors to non-resident direct investment enterprise in the form of equity capital, reinvested earnings, loan transactions, trade credits, as well as other capital extensions. Data for year 2021 are Final Data for year 2022 are Revised Data for year 2023 are Preliminary from January - June 2023 Source: Department of Statistics Malaysia and Bank Negara Malaysia No. of Views : 32

This data shows the Flows of Direct Investment (Liabilities) by Blocks of Countries, 2008 - 2023 (Q2) (Quarterly). Footnote: Credit refers to inflow of funds or amounts received by direct investment enterprise in Malaysia from foreign direct investor and affiliate in the form of equity capital, reinvested earnings, loan transactions, trade credits as well as other capital receipts. Debit refers to outflow of funds or amounts paid to foreign direct investor and affiliate from direct investment enterprise in Malaysia due to liquidation of investment, loan transactions, trade credits and other capital payments. Value for year 2021 are final Value for year 2022 are revised Value for year 2023 are preliminary Source: Department of Statistics Malaysia and Bank Negara Malaysia No. of Views : 36

View the OTC Markets Group Dataset providing trade data, and company and security information to suit your trading, investment, legal and regulatory needs.

This data shows the Flows of direct investment (Liabilities) by Sectors, 2008 - 2023 (Q2) (Quarterly). Footnote: Financial and Insurance/Takaful Activities Include investments by holding companies. Credit refers to inflow of funds or amounts received by Malaysian direct investor from non-resident direct investment enterprise due to liquidation of investment abroad, loan transactions, trade credits and other capital receipts. Debit refers to outflow of funds or amounts extended by Malaysian direct investors to non-resident direct investment enterprise in the form of equity capital, reinvested earnings, loan transactions, trade credits, as well as other capital extensions. Data for year 2021 are Final Data for year 2022 are Revised Data for year 2023 are Preliminary and refers to statistics for the period of January - June 2023 Source: Department of Statistics Malaysia and Bank Negara Malaysia No. of Views : 90