Are hedge funds worth your money? Hedge funds have developed from investment funds that were designed to lower the risk of your portfolio to a multitude of different investment styles with different goals. Their heyday was probably during the 90s and early 2000s when several star hedge fund managers rose to prominence and their assets under management grew significantly. However, since then hedge funds have been under scrutiny as their investment returns have been lacking and their ability to function as a diversification to a traditional stock and bond portfolio was put into question. As hedge funds have their own set of leverage and investment rules it is no wonder they have been accused of being greedy, unsuccessful and secretive. However, with this dataset you can make your own analysis.

Content This dataset covers monthly hedge fund returns starting from 1997. The date column refers to the last day of the month - the end date of the return period, if I understand correctly. There are 12 different hedge fund strategies covered and the return index series are formed as an aggregate of other hedge fund index providers.

The strategy explanations are in EDHEC website:

Convertible Arbitrage - https://risk.edhec.edu/conv-arb/ CTA Global - https://risk.edhec.edu/cta-global/ Distressed Securities - https://risk.edhec.edu/dist-sec/ Emerging Markets - https://risk.edhec.edu/emg-mkts/ Equity Market Neutral - https://risk.edhec.edu/equity-market-neutral/ Event Driven - https://risk.edhec.edu/event-driven/ Fixed Income Arbitrage - https://risk.edhec.edu/fix-inc-arb/ Global Macro - https://risk.edhec.edu/global-macro/ Long/Short Equity - https://risk.edhec.edu/ls-equity/ Merger Arbitrage - https://risk.edhec.edu/merger-arb/ Relative Value - https://risk.edhec.edu/relative-value/ Short Selling - https://risk.edhec.edu/short-selling/ Funds of Funds - https://risk.edhec.edu/fof/ Acknowledgements All credit for the maintenance and upload of the data goes to EDHEC. You should check their website for additional resources:

https://risk.edhec.edu/all-downloads-hedge-funds-indices

Inspiration The EDHEC hedge fund data is the data used in examples/vignettes of PortfolioAnalytics - a package for optimizing, testing and analyzing portfolio returns. You should be easily able to expand the analysis from the vignettes just by using the larger dataset available here:

https://cran.r-project.org/web/packages/PortfolioAnalytics/index.html

The US hedge fund market, a cornerstone of alternative investments, is projected to reach a substantial size, exhibiting robust growth over the forecast period (2025-2033). The market's 2025 value of $2.77 billion reflects a significant accumulation of assets under management by prominent firms such as Bridgewater Associates, Renaissance Technologies, and BlackRock. A compound annual growth rate (CAGR) of 6.52% indicates consistent expansion, driven by several key factors. Increased investor interest in alternative investment strategies seeking higher returns than traditional markets, coupled with the sophisticated risk management techniques employed by hedge funds, fuels this growth. Technological advancements, particularly in areas like artificial intelligence and big data analytics, are enhancing investment strategies, contributing to improved performance and attracting further investment. However, regulatory scrutiny and evolving investor preferences pose potential constraints. The industry’s evolution is characterized by a shift towards more specialized strategies and the increasing adoption of sustainable and ESG (Environmental, Social, and Governance) investing principles. This suggests a move beyond traditional long/short equity strategies into niche areas like quantitative trading, private equity, and global macro strategies. The competitive landscape remains intensely competitive, with established giants vying for market share against nimble, emerging players employing innovative techniques. The segmentation of the US hedge fund market likely encompasses various investment strategies (e.g., long/short equity, global macro, distressed debt, event-driven), fund sizes (e.g., mega-funds, mid-sized funds, smaller funds), and investor types (e.g., institutional investors, high-net-worth individuals). Regional variations within the US market might also exist, reflecting economic activity and investor concentration in certain areas. The forecast anticipates continued growth, although the rate may fluctuate based on macroeconomic conditions, geopolitical events, and evolving regulatory frameworks. The dominance of established players is likely to persist, though disruptive innovations and the emergence of new, successful firms could reshape the competitive landscape in the coming years. Recent developments include: January 2024: The Palm Beach Hedge Fund Association (PBHFA), the premier trade association for investors and financial professionals in South Florida, and Entoro, a leading boutique finance and investment banking group, announced a strategic partnership to improve deal distribution for hedge funds., October 2022: Divya Nettimi, a former Viking Global Investors portfolio manager who oversaw over USD 4 billion at the Greenwich, Connecticut-based hedge fund firm, became the first woman to launch a hedge fund that has committed more than USD 1 billion.. Key drivers for this market are: Positive Trends in Equity Market is Driving the Market. Potential restraints include: Positive Trends in Equity Market is Driving the Market. Notable trends are: Rise of the Crypto Hedge Funds in United States.

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Hedge Fund Market in US Size 2025-2029

The US hedge fund market size is forecast to increase by USD 738 billion at a CAGR of 8.1% between 2024 and 2029.

US Hedge Fund Market is experiencing significant growth due to increasing investor interest in alternative investment options. This trend is driven by the desire for higher returns and risk diversification, leading to a surge in assets under management. Furthermore, technological advancements are transforming the hedge fund industry, enabling companies to offer innovative solutions and improve operational efficiency. However, the market is not without challenges. Regulatory constraints continue to pose significant obstacles, with stringent regulations governing fund operations, investor protection, and transparency.
Compliance with these regulations requires substantial resources and expertise, presenting a significant challenge for hedge fund managers. Companies seeking to capitalize on market opportunities and navigate these challenges effectively must stay informed of regulatory developments and invest in robust compliance frameworks. Additionally, leveraging technology to streamline operations and enhance transparency can help hedge funds remain competitive and meet investor demands.

What will be the Size of the Hedge Fund Market in US during the forecast period?

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US hedge funds market activities and evolving patterns continue to unfold, shaping the industry's landscape. Hedge funds employ various strategies, such as quantitative methods, algorithmic trading, and relative value strategies, to manage risk and generate alpha. Investor relations play a crucial role in attracting and retaining capital from high-net-worth individuals, family offices, pension funds, and institutional investors. Fund of funds and multi-strategy funds offer diversification, while big data analytics and alternative data inform investment decisions. Machine learning and artificial intelligence enhance risk management and performance measurement. Regulatory compliance and transparency are essential components of hedge fund operations, ensuring liquidity and mitigating drawdowns.
Market dynamics are influenced by various factors, including hedge fund leverage, volatility, and capacity. Hedge fund managers must navigate these complexities to deliver competitive returns, employing due diligence and effective fee structures. Hedge fund distribution channels, such as conferences and sales efforts, facilitate access to new investors. The hedge fund market is a continually evolving ecosystem, where technology, regulatory requirements, and investor expectations shape the industry's future. Hedge fund liquidation and exit strategies, performance fees, and risk appetite are critical considerations for hedge fund managers and investors alike. Ultimately, the hedge fund industry's success hinges on its ability to adapt and innovate in a rapidly changing financial landscape.

How is this Hedge Fund in US Industry segmented?

The hedge fund in US 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

  Offshore
  Domestic
  Fund of funds


Method

  Long and short equity
  Event driven
  Global macro
  Others


End-user

  Institutional
  Individual


Fund Structure

  Small (
  Medium (USD500M-USD2B)
  Large (>USD2B)


Investor Type

  Institutional
  High-Net-Worth Individuals


Geography

  North America

    US

By Type Insights

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

The offshore segment of the hedge fund market in the US houses funds that are managed or marketed by American firms but are domiciled and operated in offshore jurisdictions. These funds, located in financial centers known for their favorable regulatory environments, tax treatment, and legal infrastructure, offer investors tax efficiency through lower or zero taxation on investment income, capital gains, and distributions. The reduced regulatory burden in offshore jurisdictions enables greater flexibility in fund operations, investment strategies, and disclosure obligations, making offshore hedge funds an appealing choice for tax-conscious investors. Portfolio construction, risk management, and hedge fund allocation strategies are crucial elements for these funds, with relative value and long-short equity strategies commonly employed.

Performance fees and management fees are the primary revenue sources for hedge fund managers, while family offices and institutional investors provide significant hedge fund capital. Regulatory compliance and due diligence are essential for investors, ensuring transparency and performance measurement. Hedge fund research, risk appetite, and investor relat

Are hedge funds worth your money?

Hedge funds have developed from investment funds that were designed to lower the risk of your portfolio to a multitude of different investment styles with different goals. Their heyday was probably during the 90s and early 2000s when several star hedge fund managers rose to prominence and their assets under management grew significantly. However, since then hedge funds have been under scrutiny as their investment returns have been lacking and their ability to function as a diversification to a traditional stock and bond portfolio was put into question. As hedge funds have their own set of leverage and investment rules it is no wonder they have been accused of being greedy, unsuccessful and secretive. However, with this dataset you can make your own analysis.

Content

This dataset covers monthly hedge fund returns starting from 1997. The date column refers to the last day of the month - the end date of the return period, if I understand correctly. There are 12 different hedge fund strategies covered and the return index series are formed as an aggregate of other hedge fund index providers.

The strategy explanations are in EDHEC website:

• Convertible Arbitrage - https://risk.edhec.edu/conv-arb/
• CTA Global - https://risk.edhec.edu/cta-global/
• Distressed Securities - https://risk.edhec.edu/dist-sec/
• Emerging Markets - https://risk.edhec.edu/emg-mkts/
• Equity Market Neutral - https://risk.edhec.edu/equity-market-neutral/
• Event Driven - https://risk.edhec.edu/event-driven/
• Fixed Income Arbitrage - https://risk.edhec.edu/fix-inc-arb/
• Global Macro - https://risk.edhec.edu/global-macro/
• Long/Short Equity - https://risk.edhec.edu/ls-equity/
• Merger Arbitrage - https://risk.edhec.edu/merger-arb/
• Relative Value - https://risk.edhec.edu/relative-value/
• Short Selling - https://risk.edhec.edu/short-selling/
• Funds of Funds - https://risk.edhec.edu/fof/

Acknowledgements

All credit for the maintenance and upload of the data goes to EDHEC. You should check their website for additional resources:

https://risk.edhec.edu/all-downloads-hedge-funds-indices

Inspiration

The EDHEC hedge fund data is the data used in examples/vignettes of PortfolioAnalytics - a package for optimizing, testing and analyzing portfolio returns. You should be easily able to expand the analysis from the vignettes just by using the larger dataset available here:

https://cran.r-project.org/web/packages/PortfolioAnalytics/index.html

The global hedge fund management fee market is a dynamic and substantial sector, exhibiting robust growth driven by increasing institutional investor interest and a persistent demand for alternative investment strategies. While precise figures for market size and CAGR are absent from the provided data, we can infer significant growth based on the listed major players—BlackRock, Vanguard, UBS Group, and others—indicating a market valued in the hundreds of billions, if not trillions, of dollars. The presence of numerous global firms suggests a highly competitive landscape, with firms vying for market share through innovative strategies, technological advancements in portfolio management, and specialized investment approaches. The market's growth is further fueled by evolving investor preferences towards diversified portfolios, including hedge funds, seeking higher returns and risk-adjusted performance. However, regulatory scrutiny, particularly concerning fee transparency and performance-based incentives, poses a significant challenge to market expansion. Furthermore, periods of economic uncertainty can dampen investor appetite for high-risk alternative investments like hedge funds, creating cyclical variations in revenue streams for management firms. The market segmentation, although not explicitly detailed, likely encompasses various strategies (e.g., long-short equity, global macro, distressed debt), fund sizes, and investor types (e.g., institutional, high-net-worth individuals). Regional variations will also undoubtedly exist, with North America and Europe likely dominating market share due to established financial infrastructure and a large pool of sophisticated investors. Competitive rivalry is fierce, with established giants constantly challenged by emerging players. Successful firms prioritize strong risk management, innovative investment strategies, and client relationship building to retain their competitive edge in this challenging yet rewarding sector. Future growth hinges on adapting to regulatory changes, managing evolving investor demands, and leveraging technology to enhance efficiency and performance.

As of 2024, it was estimated that the vast majority of hedge fund assets were managed through funds following a multi-strategy or long/short equity investment approach. Hedge funds implementing an event-driven investment strategy ranked third by assets under management (AUM) having managed over *** billion U.S. dollars in assets.

Long-Term-Investments Time Series for State Street Corp. State Street Corporation provides various financial products and services to institutional investors. The company offers custody, accounting, and fund administration services for traditional and alternative assets, as well as multi-asset class investments; recordkeeping, client reporting, and investment book of record, transaction management, loans, cash, derivatives, and collateral services; investor services operations outsourcing; performance, risk, and compliance analytics; financial data management to support institutional investors; foreign exchange, brokerage, and other trading services; securities finance, such as prime services products; and deposit and short-term investment facilities. It also provides the State Street Alpha platform that combines portfolio management, trading and execution, analytics and compliance tools, and advanced data aggregation and integration with other industry platforms and providers; front-office technology that automates and simplifies the institutional investment process comprising portfolio management and risk analytics, trading, and post-trade settlement with integrated compliance and managed data; investment management solutions; and portfolio management, trading compliance, and manager/sponsor communication. In addition, the company offers investment management solutions, such as strategies across equity, fixed income, cash, multi-asset, and alternatives; SPDR ETFs and index funds; and defined benefit, defined contribution, and outsourced chief investment officer services. The company provides its products and services to mutual funds, collective investment funds and other investment pools, corporate and public retirement plans, insurance companies, investment managers, foundations, and endowments. It has a strategic alliance with UC Investments to expand access to wealth-building tools for individuals. The company was founded in 1792 and is headquartered in Boston, Massachusetts.

L1 Long Short Fund reported AUD224K in Selling and Administration Expenses for its fiscal semester ending in June of 2025. Data for L1 Long Short Fund | LSF - Selling And Administration Expenses including historical, tables and charts were last updated by Trading Economics this last November in 2025.

Discover the booming US Hedge Fund Market! Projected to reach $1.43 trillion in 2025 with a 7.9% CAGR, this in-depth analysis reveals market trends, key players (BlackRock, Bridgewater, etc.), investment strategies, and future growth forecasts. Learn about the opportunities and challenges in this lucrative sector.

Banking and stock markets consider gold to be an important component of their economic and financial status. There are various factors that influence the gold price trend and its fluctuations. Accurate and reliable prediction of the gold price is an essential part of financial and portfolio management. Moreover, it could provide insights about potential buy and sell points in order to prevent financial damages and reduce the risk of investment. In this paper, different architectures of deep neural network (DNN) have been proposed based on long short-term memory (LSTM) and convolutional-based neural networks (CNN) as a hybrid model, along with automatic parameter tuning to increase the accuracy, coefficient of determination, of the forecasting results. An illustrative dataset from the closing gold prices for 44 years, from 1978 to 2021, is provided to demonstrate the effectiveness and feasibility of this method. The grid search technique finds the optimal set of DNNs’ parameters. Furthermore, to assess the efficiency of DNN models, three statistical indices of RMSE, RMAE, and coefficient of determination (R2), were calculated for the test set. Results indicate that the proposed hybrid model (CNN-Bi-LSTM) outperforms other models in total bias, capturing extreme values and obtaining promising results. In this model, CNN is used to extract features of input dataset. Furthermore, Bi-LSTM uses CNN’s outputs to predict the daily closing gold price.

A list of the top 50 Scion Asset Management holdings showing which stocks are owned by Michael Burry's hedge fund.

Hedge Fund Market Outlook

According to our latest research, the global hedge fund market size reached USD 4.3 trillion in 2024, driven by robust institutional inflows and an expanding array of alternative investment strategies. The market is expected to register a CAGR of 8.1% over the forecast period, propelling the overall market to approximately USD 8.4 trillion by 2033. The primary growth factor underpinning this expansion is the increasing demand for diversification and risk-adjusted returns, particularly in a persistently volatile macroeconomic environment.

Several key growth drivers are shaping the trajectory of the hedge fund market. One of the most significant factors is the growing appetite among institutional investors for alternative investment vehicles that can deliver alpha and mitigate risk. As traditional asset classes such as equities and bonds face mounting volatility and subdued returns, hedge funds offer sophisticated strategies—including long/short equity, macro, and event-driven approaches—that are well-suited to navigating complex market cycles. Furthermore, the proliferation of data analytics and artificial intelligence has enabled fund managers to develop more adaptive and predictive investment models, enhancing the overall performance and appeal of hedge funds to both large institutions and high net worth individuals.

Another pivotal growth factor is the globalization of financial markets, which has opened new avenues for hedge fund managers to exploit cross-border opportunities. As capital flows become increasingly international, hedge funds are leveraging advanced technologies and global research networks to identify and capitalize on mispriced assets, arbitrage opportunities, and macroeconomic trends across diverse geographies. This globalization trend is further complemented by regulatory reforms in several regions, which have eased restrictions on alternative investments, thereby broadening the investor base and facilitating cross-border fund distribution. The growing sophistication of investors, coupled with the proliferation of investment platforms, is also democratizing access to hedge funds, making them more accessible to a wider segment of the market.

The evolution of digital distribution channels and fintech platforms is also catalyzing the growth of the hedge fund market. Online platforms and digital wealth management solutions are lowering entry barriers for both retail and high net worth investors, enabling them to participate in hedge fund investments with greater transparency and efficiency. Additionally, the integration of blockchain technology and tokenization is streamlining fund administration, reducing operational costs, and enhancing liquidity for certain hedge fund structures. As these technological advancements continue to reshape the investment landscape, hedge funds are poised to attract a more diverse and global investor base, further fueling market expansion over the forecast period.

From a regional perspective, North America continues to dominate the global hedge fund market, accounting for the largest share of assets under management. The region's well-established financial infrastructure, deep capital markets, and concentration of institutional investors provide a fertile ground for hedge fund growth. However, Asia Pacific is emerging as a key growth engine, driven by rising wealth, regulatory liberalization, and increasing sophistication among local investors. Europe also remains a significant market, benefiting from a mature investor base and ongoing innovation in fund structures and distribution channels. These regional dynamics underscore the global nature of the hedge fund industry and highlight the diverse opportunities and challenges facing market participants worldwide.

Strategy Type Analysis

The hedge fund market is characterized by a diverse array of investment strategies, each designed to exploit specific market inefficiencies and deliver differentiated risk-return profiles. Equity hedge</

North America Hedge Fund Software market size was USD 541.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.5% from 2024 to 2031. North America has emerged as a prominent participant, and its sales revenue is estimated to reach USD 1252.8 Million by 2031. This growth is mainly attributed to the region's Advanced financial infrastructure and increasing adoption of AI and analytics in hedge fund management.

Banking and stock markets consider gold to be an important component of their economic and financial status. There are various factors that influence the gold price trend and its fluctuations. Accurate and reliable prediction of the gold price is an essential part of financial and portfolio management. Moreover, it could provide insights about potential buy and sell points in order to prevent financial damages and reduce the risk of investment. In this paper, different architectures of deep neural network (DNN) have been proposed based on long short-term memory (LSTM) and convolutional-based neural networks (CNN) as a hybrid model, along with automatic parameter tuning to increase the accuracy, coefficient of determination, of the forecasting results. An illustrative dataset from the closing gold prices for 44 years, from 1978 to 2021, is provided to demonstrate the effectiveness and feasibility of this method. The grid search technique finds the optimal set of DNNs’ parameters. Furthermore, to assess the efficiency of DNN models, three statistical indices of RMSE, RMAE, and coefficient of determination (R2), were calculated for the test set. Results indicate that the proposed hybrid model (CNN-Bi-LSTM) outperforms other models in total bias, capturing extreme values and obtaining promising results. In this model, CNN is used to extract features of input dataset. Furthermore, Bi-LSTM uses CNN’s outputs to predict the daily closing gold price.

Cash-and-Short-Term-Investments Time Series for Raymond James Financial Inc.. Raymond James Financial, Inc., a diversified financial services company, provides private client group, capital markets, asset management, banking, and other services to individuals, corporations, and municipalities in the United States, Canada, and Europe. The Private Client Group segment offers investment services, portfolio management services, insurance and annuity products, and mutual funds; support to third-party mutual fund and annuity companies, including sales and marketing support, as well as distribution and accounting, and administrative services; margin loans; securities borrowing and lending services; diversification strategies and alternative investment products; and custodial, trade execution, research, and other support and services. The Capital Markets segment provides investment banking services, such as equity and debt underwriting, and merger and acquisition advisory services; and fixed income and equity brokerage services. This segment also offers institutional sales, securities trading, equity research, and the syndication and management of investments in low-income housing funds and funds of a similar nature. The Asset Management segment provides asset management, portfolio management, and related administrative services to retail and institutional clients; and administrative support services, such as record-keeping. The Bank segment offers various types of loans, including securities-based, commercial and industrial, commercial real estate and construction, real estate investment trust, residential mortgage, and tax-exempt loans; insured deposit accounts; retail and corporate deposit; and liquidity management products and services. The Other segment engages in the private equity investments comprising invests in third-party funds. Raymond James Financial, Inc. was founded in 1962 and is headquartered in Saint Petersburg, Florida.

Total Return Equity Swaps Market Outlook

According to our latest research, the global Total Return Equity Swaps market size in 2024 stands at USD 3.8 billion, with a robust CAGR of 7.1% projected through the forecast period. By 2033, the market is expected to reach USD 7.1 billion, reflecting strong momentum driven by increased demand for sophisticated risk management tools and regulatory changes favoring derivative instruments. The growth of the Total Return Equity Swaps market is primarily fueled by the need for flexible investment vehicles, heightened volatility in equity markets, and the rising adoption of derivatives among institutional investors worldwide.

One of the primary growth drivers for the Total Return Equity Swaps market is the increasing sophistication of institutional investors, such as hedge funds, asset managers, and pension funds, who are seeking tailored solutions to manage equity exposure and optimize portfolio returns. The ability of total return equity swaps to provide synthetic exposure to a wide range of underlying assets, including single stocks, indices, and ETFs, without the direct ownership of the assets, allows investors to achieve desired market positions with greater capital efficiency and flexibility. Furthermore, these instruments enable market participants to hedge against market downturns or to gain leverage, which is particularly attractive in periods of heightened market volatility or when direct equity ownership is constrained by regulatory or operational considerations.

Another significant factor propelling the market is the evolving regulatory landscape. Post-2008 financial reforms have increased transparency and standardized the reporting of over-the-counter derivatives, making total return equity swaps more accessible and less risky for a broader range of market participants. The implementation of central clearing and margin requirements has mitigated counterparty risk, encouraging greater participation from both buy-side and sell-side entities. Additionally, the growing demand for customized swap agreements that cater to specific investment strategies, such as long/short equity, market-neutral, and sector rotation, has further expanded the utility and appeal of total return equity swaps in institutional portfolios.

Technological advancements in trading platforms and risk management systems have also played a crucial role in the expansion of the Total Return Equity Swaps market. The integration of advanced analytics, real-time pricing, and automation has streamlined the execution and monitoring of swap transactions, reducing operational costs and enhancing transparency. As financial institutions continue to invest in digital infrastructure, the accessibility and efficiency of total return equity swaps are expected to improve, attracting new participants and supporting market growth. Moreover, the globalization of capital markets and the increasing interconnectedness of regional exchanges are fostering cross-border swap activity, further supporting the upward trajectory of the market.

From a regional perspective, North America remains the dominant market for total return equity swaps, accounting for the largest share of global transactions in 2024, followed by Europe and the Asia Pacific. The presence of sophisticated financial markets, a high concentration of institutional investors, and a favorable regulatory environment in the United States and Canada underpin the regionÂ’s leadership. EuropeÂ’s market is buoyed by the strong presence of global banks and asset managers, while Asia Pacific is witnessing rapid growth driven by financial market liberalization and rising investor sophistication in countries such as China, Japan, and Australia. Latin America and the Middle East & Africa, though smaller in scale, are emerging as promising markets due to increasing cross-border capital flows and the gradual adoption of advanced financial instruments.

Commodity Swaps are another critical component in the derivatives market, offering investors a mechanism to hedge against price fluctuations in various commodities such as oil, natural gas, and agricultural products. These swaps allow parties to exchange cash flows based on the price of a specific commodity, providing a way to stabilize income and manage risk associated with volatile

Banking and stock markets consider gold to be an important component of their economic and financial status. There are various factors that influence the gold price trend and its fluctuations. Accurate and reliable prediction of the gold price is an essential part of financial and portfolio management. Moreover, it could provide insights about potential buy and sell points in order to prevent financial damages and reduce the risk of investment. In this paper, different architectures of deep neural network (DNN) have been proposed based on long short-term memory (LSTM) and convolutional-based neural networks (CNN) as a hybrid model, along with automatic parameter tuning to increase the accuracy, coefficient of determination, of the forecasting results. An illustrative dataset from the closing gold prices for 44 years, from 1978 to 2021, is provided to demonstrate the effectiveness and feasibility of this method. The grid search technique finds the optimal set of DNNs’ parameters. Furthermore, to assess the efficiency of DNN models, three statistical indices of RMSE, RMAE, and coefficient of determination (R2), were calculated for the test set. Results indicate that the proposed hybrid model (CNN-Bi-LSTM) outperforms other models in total bias, capturing extreme values and obtaining promising results. In this model, CNN is used to extract features of input dataset. Furthermore, Bi-LSTM uses CNN’s outputs to predict the daily closing gold price.