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.
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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.
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
Download Historical Tin 90 day forward (Trade Only) Cash Data. CQG daily, 1 minute, tick, and level 1 data from 1899.
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This dataset shows the Flows of foreign direct investment in Malaysia by sector, 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 2017 & 2021 are Final Data for year 2022 are Revised Data for year 2023 are Preliminary Source: Department of Statistics Malaysia and Bank Negara Malaysia No. of Views : 51
Download Historical Lead 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.
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The Strategic Jobs and Investment Fund was a grant and loan program that attracted investment in leading-edge projects that built strategic capacity and created new, high-value-added jobs. SJIF targeted innovative companies that made anchor investments, and supported cluster development within Ontario.
This dataset contains a list of recipients of Strategic Jobs and Investment Fund from 2010 to 2015. This list includes the following details:
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License information was derived automatically
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
Woodseer is the alternative data source for dividend forecasts / estimate data.
Our dataset comprises 5 years of backtestable history (as at Jan 2022), with coverage of 32000+ securities including ADRs and ETFs.
Available via API, FTP and/or login data is highly structured and machine-readable, handling all relevant dates, amounts, currencies, types, frequencies etc.
Clients for our data include some of the world's largest investment banks, market makers, index providers, custodians, hedge funds and asset managers.
Download Historical Aluminium 90 day forward (Trade Only) Cash Data. CQG daily, 1 minute, tick, and level 1 data from 1899.
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License information was derived automatically
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
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License information was derived automatically
This dataset shows the Flows of Foreign Direct Investment in Malaysia 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 Source: Department of Statistics Malaysia and Bank Negara Malaysia No. of Views : 123
Download Historical Zinc 90 day forward (Trade Only) Cash Data. CQG daily, 1 minute, tick, and level 1 data from 1899.
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License information was derived automatically
Estimation results of the main parameters in the TVP-VAR-SV model.
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View the OTC Markets Group Dataset providing trade data, and company and security information to suit your trading, investment, legal and regulatory needs.
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License information was derived automatically
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 : 89
KAV 3472 cover memo. Visit https://dataone.org/datasets/sha256%3A497146bb3ce57a72542f2020c7383988adce3fc6825696caba98926db97f6cdb for complete metadata about this dataset.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset shows the Flows of direct investment (Liabilities) by blocks of countries, 2008 - 2023 (Annually). 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 from January - June 2023 Source: Department of Statistics Malaysia and Bank Negara Malaysia No. of Views : 31
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Norway Foreign Direct Investment Position: Outward: % of Total (FDI) Foreign Direct Investment: Total: Wholesale and Retail Trade: Repair of Motor Vehicles and Motorcycles data was reported at 2.517 % in 2023. This records an increase from the previous number of 2.086 % for 2022. Norway Foreign Direct Investment Position: Outward: % of Total (FDI) Foreign Direct Investment: Total: Wholesale and Retail Trade: Repair of Motor Vehicles and Motorcycles data is updated yearly, averaging 2.418 % from Dec 2013 (Median) to 2023, with 11 observations. The data reached an all-time high of 2.962 % in 2016 and a record low of 2.086 % in 2022. Norway Foreign Direct Investment Position: Outward: % of Total (FDI) Foreign Direct Investment: Total: Wholesale and Retail Trade: Repair of Motor Vehicles and Motorcycles data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Norway – Table NO.OECD.FDI: Foreign Direct Investment: % of Total FDI: by Industry: OECD Member: Annual. Reverse investment:Reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) is treated as portfolio investment. A survey is underway to evaluate the importance of reverse investment in equity. Netting of reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series excluding resident SPEs only. Valuation method used for listed inward equity positions: Own funds at book value. Valuation method used for listed outward equity positions: Own funds at book value, Book values. Valuation method used for unlisted inward equity positions: Own funds at book value. Valuation method used for unlisted outward equity positions: Own funds at book value, Book value. Valuation method used for inward and outward debt positions: Book value.; FDI statistics are available by geographic allocation, vis-à -vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are partially covered. Collective investment institutions are partially covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investor. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.
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.