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BGC Group Updates its Outlook for the First Quarter of 2024

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NEW YORK, March 28, 2024 /PRNewswire/ — BGC Group, Inc. (Nasdaq: BGC), today announced that it has updated its outlook for the quarter ending March 31, 2024.

Updated Outlook
BGC reaffirmed its previously stated outlook ranges for revenue and pre-tax Adjusted Earnings for the first quarter of 2024. The Company’s outlook was contained in BGC’s financial results press release issued on February 14, 2024, which can be found at http://ir.bgcg.com

Non-GAAP Financial Measures
The non-GAAP definitions below include references to certain equity-based compensation instruments, such as restricted stock awards and/or restricted stock units (“RSUs”), that the Company has issued and outstanding following its corporate conversion on July 1, 2023. Although BGC is retaining certain defined terms and references, including references to partnerships or partnership units, for purposes of comparability before and after the corporate conversion, such references may not be applicable following the period ended June 30, 2023. 

The Company has clarified its practice in an updated definition of its “Calculation of Non-Compensation Adjustments for Adjusted Earnings”. BGC has not modified any prior period non-GAAP measures related to this clarification.

This document contains non-GAAP financial measures that differ from the most directly comparable measures calculated and presented in accordance with Generally Accepted Accounting Principles in the United States (“GAAP”). Non-GAAP financial measures used by the Company include “Adjusted Earnings before noncontrolling interests and taxes”, which is used interchangeably with “pre-tax Adjusted Earnings”; “Post-tax Adjusted Earnings to fully diluted shareholders”, which is used interchangeably with “post-tax Adjusted Earnings”; “Adjusted EBITDA”; “Liquidity”; and “Constant Currency”. The definitions of these terms are below.

Adjusted Earnings Defined
BGC uses non-GAAP financial measures, including “Adjusted Earnings before noncontrolling interests and taxes” and “Post-tax Adjusted Earnings to fully diluted shareholders”, which are supplemental measures of operating results used by management to evaluate the financial performance of the Company and its consolidated subsidiaries. BGC believes that Adjusted Earnings best reflect the operating earnings generated by the Company on a consolidated basis and are the earnings which management considers when managing its business. 

As compared with “Income (loss) from operations before income taxes” and “Net income (loss) for fully diluted shares”, both prepared in accordance with GAAP, Adjusted Earnings calculations primarily exclude certain non-cash items and other expenses that generally do not involve the receipt or outlay of cash by the Company and/or which do not dilute existing stockholders. In addition, Adjusted Earnings calculations exclude certain gains and charges that management believes do not best reflect the underlying operating performance of BGC. Adjusted Earnings is calculated by taking the most comparable GAAP measures and adjusting for certain items with respect to compensation expenses, non-compensation expenses, and other income, as discussed below.

Calculations of Compensation Adjustments for Adjusted Earnings and Adjusted EBITDA

Treatment of Equity-Based Compensation Line Item for Adjusted Earnings and Adjusted EBITDA
The Company’s Adjusted Earnings and Adjusted EBITDA measures exclude all GAAP charges included in the line item “Equity-based compensation and allocations of net income to limited partnership units and FPUs” (or “equity-based compensation” for purposes of defining the Company’s non-GAAP results) as recorded on the Company’s GAAP Consolidated Statements of Operations and GAAP Consolidated Statements of Cash Flows. These GAAP equity-based compensation charges reflect the following items:

  • Charges related to amortization of RSUs, restricted stock awards, other equity-based awards, and limited partnership units;
  • Charges with respect to grants of exchangeability, which reflect the right of holders of limited partnership units with no capital accounts, such as LPUs and PSUs, to exchange these units into shares of common stock, or into partnership units with capital accounts, such as HDUs, as well as cash paid with respect to taxes withheld or expected to be owed by the unit holder upon such exchange. The withholding taxes related to the exchange of certain non-exchangeable units without a capital account into either common shares or units with a capital account may be funded by the redemption of preferred units such as PPSUs;
  • Charges with respect to preferred units and RSU tax accounts. Any preferred units and RSU tax accounts would not be included in the Company’s fully diluted share count because they cannot be made exchangeable into shares of common stock and are entitled only to a fixed distribution or dividend. Preferred units are granted in connection with the grant of certain limited partnership units that may be granted exchangeability or redeemed in connection with the grant of shares of common stock, and RSU tax accounts are granted in connection with the grant of RSUs. The preferred units and RSU tax accounts are granted at ratios designed to cover any withholding taxes expected to be paid. This is an alternative to the common practice among public companies of issuing the gross amount of shares to employees, subject to cashless withholding of shares, to pay applicable withholding taxes;
  • GAAP equity-based compensation charges with respect to the grant of an offsetting amount of common stock or partnership units with capital accounts in connection with the redemption of non-exchangeable units, including PSUs and LPUs;
  • Charges related to grants of equity awards, including common stock, RSUs, restricted stock awards or partnership units with capital accounts;
  • Allocations of net income to limited partnership units and FPUs. Such allocations represent the pro-rata portion of post-tax GAAP earnings available to such unit holders; and
  • Charges related to dividend equivalents earned on RSUs and any preferred returns on RSU tax accounts.

The amounts of certain quarterly equity-based compensation charges are based upon the Company’s estimate of such expected charges during the annual period, as described further below under “Methodology for Calculating Adjusted Earnings Taxes.”

Virtually all of BGC’s key executives and producers have equity stakes in the Company and its subsidiaries and generally receive deferred equity as part of their compensation. A significant percentage of BGC’s fully diluted shares are owned by its executives, partners and employees. The Company issues RSUs, restricted stock, limited partnership units (prior to July 1, 2023) as well as other forms of equity-based compensation, including grants of exchangeability into shares of common stock (prior to July 1, 2023), to provide liquidity to its employees, to align the interests of its employees and management with those of common stockholders, to help motivate and retain key employees, and to encourage a collaborative culture that drives cross-selling and revenue growth.

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All share equivalents that are part of the Company’s equity-based compensation program, including REUs, PSUs, LPUs, HDUs, and other units that may be made exchangeable into common stock, as well as RSUs (which are recorded using the treasury stock method), are included in the fully diluted share count when issued or at the beginning of the subsequent quarter after the date of grant.

Compensation charges are also adjusted for certain other cash and non-cash items.

Certain Other Compensation-Related Adjustments for Adjusted Earnings
BGC also excludes various other GAAP items that management views as not reflective of the Company’s underlying performance in a given period from its calculation of Adjusted Earnings. These may include compensation-related items with respect to cost-saving initiatives, such as severance charges incurred in connection with headcount reductions as part of broad restructuring and/or cost savings plans. 

Calculation of Non-Compensation Adjustments for Adjusted Earnings
Adjusted Earnings calculations may also exclude items such as: 

  • Non-cash GAAP charges related to the amortization of intangibles with respect to acquisitions;
  • Acquisition related costs;
  • Non-cash GAAP asset impairment charges;
  • Resolutions of litigation, disputes, investigations, or enforcement matters that are generally non-recurring, exceptional, or unusual, or similar items that management believes do not best reflect BGC’s underlying operating performance, including related unaffiliated third-party professional fees and expenses; and
  • Various other GAAP items that management views as not reflective of the Company’s underlying performance in a given period, including non-compensation-related charges incurred as part of broad restructuring and/or cost savings plans. Such GAAP items may include charges for professional fees and expenses, exiting leases and/or other long-term contracts as part of cost-saving initiatives, as well as non-cash impairment charges related to assets, goodwill and/or intangible assets created from acquisitions.

Calculation of Adjustments for Other (income) losses for Adjusted Earnings
Adjusted Earnings calculations also exclude gains from litigation resolution and certain other non-cash, non-dilutive, and/or non-economic items, which may, in some periods, include: 

  • Gains or losses on divestitures;
  • Fair value adjustment of investments;
  • Certain other GAAP items, including gains or losses related to BGC’s investments accounted for under the equity method; and
  • Any unusual, non-ordinary, or non-recurring gains or losses.

Methodology for Calculating Adjusted Earnings Taxes
Although Adjusted Earnings are calculated on a pre-tax basis, BGC also reports post-tax Adjusted Earnings to fully diluted shareholders. The Company defines post-tax Adjusted Earnings to fully diluted shareholders as pre-tax Adjusted Earnings reduced by the non-GAAP tax provision described below and net income (loss) attributable to noncontrolling interest for Adjusted Earnings. 

The Company calculates its tax provision for post-tax Adjusted Earnings using an annual estimate similar to how it accounts for its income tax provision under GAAP. To calculate the quarterly tax provision under GAAP, BGC estimates its full fiscal year GAAP income (loss) from operations before income taxes and noncontrolling interests in subsidiaries and the expected inclusions and deductions for income tax purposes, including expected equity-based compensation during the annual period. The resulting annualized tax rate is applied to BGC’s quarterly GAAP income (loss) from operations before income taxes and noncontrolling interests in subsidiaries. At the end of the annual period, the Company updates its estimate to reflect the actual tax amounts owed for the period.

To determine the non-GAAP tax provision, BGC first adjusts pre-tax Adjusted Earnings by recognizing any, and only, amounts for which a tax deduction applies under applicable law. The amounts include charges with respect to equity-based compensation; certain charges related to employee loan forgiveness; certain net operating loss carryforwards when taken for statutory purposes; and certain charges related to tax goodwill amortization. These adjustments may also reflect timing and measurement differences, including treatment of employee loans; changes in the value of units between the dates of grants of exchangeability and the date of actual unit exchange; changes in the value of RSUs and/or restricted stock awards between the date of grant and the date the award vests; variations in the value of certain deferred tax assets; and liabilities and the different timing of permitted deductions for tax under GAAP and statutory tax requirements.

After application of these adjustments, the result is the Company’s taxable income for its pre-tax Adjusted Earnings, to which BGC then applies the statutory tax rates to determine its non-GAAP tax provision. BGC views the effective tax rate on pre-tax Adjusted Earnings as equal to the amount of its non-GAAP tax provision divided by the amount of pre-tax Adjusted Earnings.

Generally, the most significant factor affecting this non-GAAP tax provision is the amount of charges relating to equity-based compensation. Because the charges relating to equity-based compensation are deductible in accordance with applicable tax laws, increases in such charges have the effect of lowering the Company’s non-GAAP effective tax rate and thereby increasing its post-tax Adjusted Earnings.

BGC incurs income tax expenses based on the location, legal structure and jurisdictional taxing authorities of each of its subsidiaries. Certain of the Company’s entities are taxed as U.S. partnerships and are subject to the Unincorporated Business Tax (“UBT”) in New York City. Any U.S. federal and state income tax liability or benefit related to the partnership income or loss, with the exception of UBT, rests with the unit holders rather than with the partnership entity. The Company’s consolidated financial statements include U.S. federal, state, and local income taxes on the Company’s allocable share of the U.S. results of operations. Outside of the U.S., BGC operates principally through subsidiary corporations subject to local income taxes. For these reasons, taxes for Adjusted Earnings are expected to be presented to show the tax provision the consolidated Company would expect to pay if 100% of earnings were taxed at global corporate rates.

Calculations of Pre- and Post-Tax Adjusted Earnings per Share
BGC’s pre- and post-tax Adjusted Earnings per share calculations assume either that:

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  • The fully diluted share count includes the shares related to any dilutive instruments, but excludes the associated expense, net of tax, when the impact would be dilutive; or
  • The fully diluted share count excludes the shares related to these instruments, but includes the associated expense, net of tax, when the impact would be anti-dilutive.

The share count for Adjusted Earnings excludes certain shares and share equivalents expected to be issued in future periods but not yet eligible to receive dividends and/or distributions. Each quarter, the dividend payable to BGC’s stockholders, if any, is expected to be determined by the Company’s Board of Directors with reference to a number of factors. The declaration, payment, timing, and amount of any future dividends payable by the Company will be at the discretion of its Board of Directors using the fully diluted share count. For more information on any share count adjustments, see the table titled “Fully Diluted Weighted-Average Share Count under GAAP and for Adjusted Earnings” in the Company’s most recent financial results press release.

Management Rationale for Using Adjusted Earnings
BGC’s calculation of Adjusted Earnings excludes the items discussed above because they are either non-cash in nature, because the anticipated benefits from the expenditures are not expected to be fully realized until future periods, or because the Company views results excluding these items as a better reflection of the underlying performance of BGC’s ongoing operations. Management uses Adjusted Earnings in part to help it evaluate, among other things, the overall performance of the Company’s business and to make decisions with respect to the Company’s operations. 

The term “Adjusted Earnings” should not be considered in isolation or as an alternative to GAAP net income (loss). The Company views Adjusted Earnings as a metric that is not indicative of liquidity, or the cash available to fund its operations, but rather as a performance measure. Pre- and post-tax Adjusted Earnings, as well as related measures, are not intended to replace the Company’s presentation of its GAAP financial results. However, management believes that these measures help provide investors with a clearer understanding of BGC’s financial performance and offer useful information to both management and investors regarding certain financial and business trends related to the Company’s financial condition and results of operations. Management believes that the GAAP and Adjusted Earnings measures of financial performance should be considered together.

For more information regarding Adjusted Earnings, see the sections of this document and/or in the Company’s most recent financial results press release titled “Reconciliation of GAAP Income (Loss) from Operations before Income Taxes to Adjusted Earnings and GAAP Fully Diluted EPS to Post-Tax Adjusted EPS”, including the related footnotes, for details about how BGC’s non-GAAP results are reconciled to those under GAAP.

Adjusted EBITDA Defined
BGC also provides an additional non-GAAP financial performance measure, “Adjusted EBITDA”, which it defines as GAAP “Net income (loss) available to common stockholders”, adjusted to add back the following items:

  • Provision (benefit) for income taxes;
  • Net income (loss) attributable to noncontrolling interest in subsidiaries;
  • Interest expense;
  • Fixed asset depreciation and intangible asset amortization;
  • Equity-based compensation and allocations of net income to limited partnership units and FPUs;
  • Impairment of long-lived assets;
  • (Gains) losses on equity method investments; and
  • Certain other non-cash GAAP items, such as non-cash charges of amortized rents.

The Company’s management believes that its Adjusted EBITDA measure is useful in evaluating BGC’s operating performance, because the calculation of this measure generally eliminates the effects of financing and income taxes and the accounting effects of capital spending and acquisitions, which would include impairment charges of goodwill and intangibles created from acquisitions. Such items may vary for different companies for reasons unrelated to overall operating performance. As a result, the Company’s management uses this measure to evaluate operating performance and for other discretionary purposes. BGC believes that Adjusted EBITDA is useful to investors to assist them in getting a more complete picture of the Company’s financial results and operations.

Since BGC’s Adjusted EBITDA is not a recognized measurement under GAAP, investors should use this measure in addition to GAAP measures of net income when analyzing BGC’s operating performance. Because not all companies use identical EBITDA calculations, the Company’s presentation of Adjusted EBITDA may not be comparable to similarly titled measures of other companies. Furthermore, Adjusted EBITDA is not intended to be a measure of free cash flow or GAAP cash flow from operations because the Company’s Adjusted EBITDA does not consider certain cash requirements, such as tax and debt service payments.

For more information regarding Adjusted EBITDA, see the section of this document and/or in the Company’s most recent financial results press release titled “Reconciliation of GAAP Net Income (Loss) Available to Common Stockholders to Adjusted EBITDA”, including the footnotes to the same, for details about how BGC’s non-GAAP results are reconciled to those under GAAP.

Timing of Outlook for Certain GAAP and Non-GAAP Items
BGC anticipates providing forward-looking guidance for GAAP revenues and for certain non-GAAP measures from time to time. However, the Company does not anticipate providing an outlook for other GAAP results. This is because certain GAAP items, which are excluded from Adjusted Earnings and/or Adjusted EBITDA, are difficult to forecast with precision before the end of each period. The Company therefore believes that it is not possible for it to have the required information necessary to forecast GAAP results or to quantitatively reconcile GAAP forecasts to non-GAAP forecasts with sufficient precision without unreasonable efforts. For the same reasons, the Company is unable to address the probable significance of the unavailable information. The relevant items that are difficult to predict on a quarterly and/or annual basis with precision and may materially impact the Company’s GAAP results include, but are not limited, to the following:

  • Certain equity-based compensation charges that may be determined at the discretion of management throughout and up to the period-end;
  • Unusual, non-ordinary, or non-recurring items;
  • The impact of gains or losses on certain marketable securities, as well as any gains or losses related to associated mark-to- market movements and/or hedging. These items are calculated using period-end closing prices;
  • Non-cash asset impairment charges, which are calculated and analyzed based on the period-end values of the underlying assets. These amounts may not be known until after period-end; and
  • Acquisitions, dispositions, and/or resolutions of litigation, disputes, investigations, or enforcement matters, or similar items, which are fluid and unpredictable in nature.

Liquidity Defined
BGC may also use a non-GAAP measure called “liquidity”. The Company considers liquidity to be comprised of the sum of cash and cash equivalents, reverse repurchase agreements (if any), financial instruments owned, at fair value, less securities lent out in securities loaned transactions and repurchase agreements (if any). The Company considers liquidity to be an important metric for determining the amount of cash that is available or that could be readily available to the Company on short notice.

For more information regarding Liquidity, see the section of this document and/or in the Company’s most recent financial results press release titled “Liquidity Analysis”, including any footnotes to the same, for details about how BGC’s non-GAAP results are reconciled to those under GAAP.

Constant Currency Defined
BGC generates a significant amount of its revenues in non-U.S. dollar denominated currencies, particularly in the euro and pound sterling. In order to present a better comparison of the Company’s revenues during the period, which exhibited highly volatile foreign exchange movements, BGC provides revenues year-over-year comparisons on a “Constant Currency” basis. BGC uses a Constant Currency financial metric to provide a better comparison of the Company’s underlying operating performance by eliminating the impacts of foreign currency fluctuations between comparative periods. Since BGC’s consolidated financial statements are presented in U.S. dollars, fluctuations in non-U.S. dollar denominated currencies have an impact on the Company’s GAAP results. The Company’s Constant Currency metric, which is a non-GAAP financial measure, assumes the foreign exchange rates used to determine the Company’s comparative prior period revenues, apply to the current period revenues. Constant Currency revenue percentage change is calculated by determining the change in current quarter non-GAAP Constant Currency revenues over prior period revenues. Non-GAAP Constant Currency revenues are total revenues excluding the effect of foreign exchange rate movements and are calculated by remeasuring and/or translating current quarter revenues using prior period exchange rates. BGC presents certain non-GAAP Constant Currency percentage changes in Constant Currency revenues as a supplementary measure because it facilitates the comparison of the Company’s core operating results. This information should be considered in addition to, and not as a substitute for, results reported in accordance with GAAP.

About BGC Group, Inc.
BGC Group, Inc. (“BGC”) is a leading global brokerage and financial technology company. BGC, through its affiliates, specializes in the brokerage of a broad range of products, including Fixed Income (Rates and Credit), Foreign Exchange, Equities, Energy and Commodities, Shipping, and Futures. BGC, through its affiliates, also provides a broad range of services, including: trade execution, brokerage, clearing, trade compression, post-trade, information, and other back-office services to a broad range of financial and non-financial institutions. Through its brands, including Fenics®, FMX™, FMX Futures Exchange™, Fenics Markets Xchange™, Fenics Digital™, Fenics UST™, Fenics FX™, Fenics Repo™, Fenics Direct™, Fenics MID™, Fenics Market Data™, Fenics GO™, Fenics PortfolioMatch™, BGC®, BGC Trader™, kACE2™, and Lucera®, BGC offers financial technology solutions, market data, and analytics across a broad range of financial instruments and markets. BGC, BGC Group, BGC Partners, BGC Trader, GFI, GFI Ginga, CreditMatch, Fenics, Fenics.com, FMX, Sunrise Brokers, Poten & Partners, RP Martin, kACE2, Capitalab, Swaptioniser, CBID, Caventor, LumeMarkets and Lucera are trademarks/service marks and/or registered trademarks/service marks of BGC and/or its affiliates.

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BGC’s customers include many of the world’s largest banks, broker-dealers, investment banks, trading firms, hedge funds, governments, corporations, and investment firms. BGC’s Class A common stock trades on the Nasdaq Global Select Market under the ticker symbol “BGC”. BGC is led by Chairman of the Board and Chief Executive Officer Howard W. Lutnick. For more information, please visit http://www.bgcg.com. You can also follow BGC at https://twitter.com/bgcgroupinc, https://www.linkedin.com/company/bgc_group and/or http://ir.bgcg.com.

Discussion of Forward-Looking Statements about BGC
Statements in this document regarding BGC that are not historical facts are “forward-looking statements” that involve risks and uncertainties, which could cause actual results to differ from those contained in the forward-looking statements. These include statements about the Company’s business, results, financial position, liquidity and outlook, which may constitute forward-looking statements and are subject to the risk that the actual impact may differ, possibly materially, from what is currently expected. Except as required by law, BGC undertakes no obligation to update any forward-looking statements. For a discussion of additional risks and uncertainties, which could cause actual results to differ from those contained in the forward-looking statements, see BGC’s Securities and Exchange Commission (“SEC”) filings, including, but not limited to, the risk factors and Special Note on Forward-Looking Information set forth in these filings and any updates to such risk factors and Special Note on Forward-Looking Information contained in subsequent reports on Form 10-K, Form 10-Q or Form 8-K. 

Media Contact:
Erica Chase
+1 212-610-2419

Investor Contact:
Jason Chryssicas
+1 212-610-2426

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Artificial Intelligence (AI) in Trading Market to Reach USD 35 Billion by 2030, Growing at a 10% CAGR | Valuates Reports

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BANGALORE, India, Jan. 3, 2025 /PRNewswire/ — AI in Trading Market is Segmented by Type (Software, Services), by Application (Automotive, IT & Telecommunication, Transportation & Logistics, Energy & Utilities, Healthcare, Retail, Manufacturing).

The Global Artificial Intelligence in Trading Market was valued at USD 18 Billion in 2023 and is anticipated to reach USD 35 Billion by 2030, witnessing a CAGR of 10% during the forecast period 2024-2030.

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Major Factors Driving the Growth of Artificial Intelligence (AI) in Trading Market:

The Artificial Intelligence in Trading market is on a robust growth trajectory, driven by the increasing adoption of AI technologies to enhance trading performance and operational efficiency. The integration of machine learning algorithms, predictive analytics, and automated trading systems is transforming the landscape of financial trading, enabling more informed and strategic decision-making. The rising complexity and volatility of financial markets necessitate advanced AI-driven solutions that can analyze vast amounts of data, identify market trends, and execute trades with precision and speed. Additionally, the continuous advancements in AI and machine learning technologies are expanding the capabilities and applications of AI in trading, making these solutions more accessible and effective for a broader range of traders and financial institutions. The growing emphasis on data-driven trading strategies, coupled with the need for competitive advantage and risk management, propels the demand for AI-driven trading technologies. As financial markets continue to evolve and embrace digital transformation, the Artificial Intelligence in Trading market is poised to achieve significant growth, driven by innovation, investment, and the increasing reliance on technology-driven trading solutions.

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TRENDS INFLUENCING THE GROWTH OF THE GLOBAL AI IN TRADING MARKET:

Software solutions are instrumental in driving the growth of the Artificial Intelligence in Trading market by enhancing the efficiency, accuracy, and speed of trading operations. Advanced trading software incorporates machine learning algorithms, predictive analytics, and real-time data processing capabilities, enabling traders to make informed decisions based on comprehensive market insights. These software platforms facilitate automated trading strategies, allowing for the execution of trades at optimal times without human intervention, thereby reducing latency and increasing profitability. Additionally, sophisticated risk management tools integrated into trading software help in identifying and mitigating potential risks, ensuring more stable and secure trading environments. The continuous evolution of trading software, with the integration of AI-driven features such as sentiment analysis and anomaly detection, further propels market growth by offering traders innovative tools to navigate complex financial markets. The increasing reliance on technology-driven trading solutions underscores the critical role of software in expanding the Artificial Intelligence in Trading market.

Services play a pivotal role in driving the growth of the Artificial Intelligence in Trading market by providing essential support and expertise required to implement and optimize AI-driven trading strategies. These services include consulting, system integration, data management, and ongoing technical support, which are crucial for financial institutions and traders looking to leverage AI technologies effectively. Professional services help organizations navigate the complexities of AI adoption, ensuring that AI models are accurately tailored to specific trading needs and market conditions. Additionally, managed services offer continuous monitoring and maintenance of AI systems, ensuring their optimal performance and adaptability to evolving market dynamics. Training and education services further enhance the capabilities of trading teams, equipping them with the necessary skills to utilize AI tools effectively. The comprehensive range of services provided by specialized firms enables seamless integration of AI technologies into trading operations, thereby accelerating the adoption and expansion of the Artificial Intelligence in Trading market.

Financial services are a major catalyst in the growth of the Artificial Intelligence in Trading market, as they are at the forefront of adopting AI technologies to gain a competitive edge in the financial markets. Investment banks, hedge funds, asset management firms, and proprietary trading firms increasingly utilize AI-driven trading systems to enhance their trading strategies, improve decision-making processes, and optimize portfolio management. The ability of AI to analyze vast amounts of financial data, identify market trends, and execute trades at high speeds enables financial services firms to achieve higher returns and manage risks more effectively. Additionally, the integration of AI in areas such as algorithmic trading, fraud detection, and customer service enhances operational efficiency and service quality within financial institutions. The growing recognition of AI’s potential to transform trading practices and deliver superior financial performance drives the continuous investment and expansion of AI technologies in the financial services sector, thereby propelling the growth of the Artificial Intelligence in Trading market.

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The increasing demand for high-speed trading is a significant factor driving the Artificial Intelligence in Trading market. In today’s fast-paced financial markets, the ability to execute trades within milliseconds can provide a substantial competitive advantage. AI-driven trading systems are designed to process large volumes of data and execute trades at speeds that far surpass human capabilities, enabling traders to capitalize on fleeting market opportunities. The rise of high-frequency trading (HFT) strategies, which rely on rapid data analysis and automated execution, underscores the need for advanced AI technologies that can deliver the required speed and precision. The growing complexity and volatility of financial markets further amplify the demand for high-speed trading solutions, as traders seek to navigate rapid price fluctuations and capitalize on minute market movements. The continuous advancement of AI technologies to enhance trading speed and efficiency drives the expansion of the Artificial Intelligence in Trading market.

The availability and integration of vast amounts of financial data are crucial drivers of the Artificial Intelligence in Trading market. The proliferation of data sources, including market feeds, news articles, social media, and economic indicators, provides a rich foundation for AI algorithms to analyze and derive actionable insights. Effective integration of diverse data sets allows AI systems to develop more accurate predictive models and trading strategies, enhancing their ability to anticipate market movements and make informed trading decisions. Additionally, the advancement of big data technologies and data processing frameworks facilitates the seamless ingestion, storage, and analysis of large-scale financial data, enabling AI-driven trading systems to operate more efficiently and effectively. The increasing emphasis on data-driven decision-making in trading practices underscores the importance of robust data integration capabilities, thereby fueling the growth of the Artificial Intelligence in Trading market.

Effective risk management and mitigation are critical factors driving the Artificial Intelligence in Trading market. AI-driven trading systems offer advanced risk assessment and management capabilities that help traders and financial institutions identify, evaluate, and mitigate potential risks in real-time. Machine learning algorithms can analyze historical and real-time data to detect abnormal trading patterns, predict market downturns, and optimize portfolio allocations to minimize exposure to adverse market conditions. Additionally, AI technologies enable the development of sophisticated hedging strategies and automated stop-loss mechanisms, enhancing the ability to manage financial risks proactively. The ability to quickly adapt to changing market dynamics and implement risk mitigation measures is essential for maintaining financial stability and achieving sustainable trading performance. As the complexity and interconnectedness of financial markets increase, the demand for robust AI-driven risk management solutions intensifies, thereby fueling the growth of the Artificial Intelligence in Trading market.

Achieving a competitive advantage is a significant driver in the growth of the Artificial Intelligence in Trading market. Financial institutions and traders seek to leverage AI technologies to gain an edge over competitors by enhancing the speed, accuracy, and efficiency of their trading operations. AI-driven trading systems enable the development of proprietary trading strategies, optimize trade execution, and improve the ability to anticipate market movements, thereby increasing profitability and market share. The ability to process and analyze vast amounts of data in real-time allows traders to make informed decisions faster than competitors relying on traditional trading methods. Additionally, AI technologies facilitate the customization of trading strategies to align with specific investment goals and risk profiles, further differentiating traders in the competitive financial landscape. The pursuit of superior performance and the need to stay ahead in the highly competitive trading environment drive the adoption and investment in AI-driven trading solutions, thereby propelling the growth of the Artificial Intelligence in Trading market.

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AI IN TRADING MARKET SHARE

China and the United States are two leaders in the AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both hold 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China’s core artificial intelligence industry reached ¥508 Billion in 2022, a year-on-year increase of 18%.

The Artificial Intelligence in Trading market exhibits significant regional variations, influenced by factors such as financial market maturity, technological infrastructure, and regulatory environments. North America leads the market, driven by the presence of major financial hubs like New York and Silicon Valley, advanced technological infrastructure, and a high concentration of fintech startups specializing in AI-driven trading solutions.

Key Companies:

  • IBM Corporation
  • Trading Technologies International, Inc
  • GreenKey Technologies, LLC
  • Trade Ideas, LLC
  • Imperative Execution Inc
  • Looking Glass Investments LLC
  • Aitrades
  • Kavout
  • Auquan
  • WOA
  • Techtrader

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–          AI Content Generation Market was estimated to be worth USD 1108 Million in 2023 and is forecast to a readjusted size of USD 5958 Million by 2030 with a CAGR of 27.3% during the forecast period 2024-2030.

–          AI Crypto Trading Bot Market was valued at USD 21.69  Million in 2022 and is anticipated to reach USD 145.27 Million by 2029, witnessing a CAGR of 37.2% during the forecast period 2023-2029.

–          Industrial Artificial Intelligence Market

–          Artificial Intelligence for Retail Market was estimated to be worth USD 942.3 Million in 2023 and is forecast to a readjusted size of USD 1249.7 Million by 2030 with a CAGR of 3.2% during the forecast period 2024-2030.

–          The global AI In Telecommunication market was valued at USD 1723 Million in 2023 and is anticipated to reach USD 19170 Million by 2030, witnessing a CAGR of 40.6% during the forecast period 2024-2030.

–          Artificial Intelligence-based Security  Market was estimated to be worth USD 6925 Million in 2023 and is forecast to a readjusted size of USD 20200 Million by 2030 with a CAGR of 16.4% during the forecast period 2024-2030.

–          The global AI Data Center market was valued at USD 22615.04 Million in 2023 and is anticipated to reach USD 68317.57 Million by 2030, witnessing a CAGR of 17.11%during the forecast period 2024-2030.

–          Artificial Intelligence (AI) in Mining Market was estimated to be worth USD 814 Million in 2023 and is forecast to a readjusted size of USD 1674 Million by 2030 with a CAGR of 11.0% during the forecast period 2024-2030.

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–          AI (Artificial Intelligence) Decision Making Market

–          The AI Companion market was valued at USD 102 Million in 2023 and is anticipated to reach USD 632 Million by 2030, witnessing a CAGR of 98%% during the forecast period 2024-2030.

–          Algorithmic Trading Software Market

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Bybit x Block Scholes Report: BTC Options Steady with Call-Put Parity, ETH Braces for Short-Term Volatility

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DUBAI, UAE, Jan. 3, 2025 /PRNewswire/ — Bybit, the world’s second-largest cryptocurrency exchange by trading volume, has released its latest crypto derivatives analytics report in collaboration with Block Scholes. The report sheds light on key trends in open interest and market behavior during the significant year-end options expiration for Bitcoin (BTC) and Ethereum (ETH).

Key highlights:

Open Interest Solid Amid Year-End Options Expiration

Although open interest in BTC and ETH perpetual swaps has not returned to the early December 2024 highs, it remained stable during the critical year-end options expiration. This stability suggests that traders did not heavily rely on perpetual contracts to hedge the delta of expiring options, which contributed to the muted volatility observed during this period. Trading volumes dipped during the winter holiday season, aligning with a collapse in realized volatility, which reached its lowest levels of December.

BTC Option Curve Remains Steep During Call-Put Parity

Contrary to expectations, the expiration of December’s options did not spark a surge in volatility. Instead, realized volatility declined to the lower end of its recent range. The implied volatility term structure for BTC options remains steep, with longer-dated implied volatility hovering around 57% and 1-week at-the-money options trading approximately five points lower. Most of the expired open interest has not been reinvested, maintaining a neutral call-put balance. As a result, BTC’s options market shows limited leverage compared to its position at the beginning of December 2024, reflecting a cautious sentiment.

Huge ETH Option Expiring Doesn’t Cause Volatility

Despite the substantial expiration of ETH options in late December 2024, market dynamics remained stable. A spike in realized volatility during December failed to extend into the new year, with ETH’s spot price currently showing lower volatility compared to short-tenor implied volatility. Over the past week, the implied volatility term structure for ETH options has shifted, steepening briefly before flattening again, diverging from BTC’s consistently steep profile. This pattern suggests that ETH’s options market is bracing for potential short-term volatility in spot price movements.

Interestingly, despite the expiration, call options for ETH have gained momentum at the start of 2025, dominating the market and indicating an optimistic outlook among traders.

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#Bybit / #TheCryptoArk / #BybitLearn / #BybitResearch / #BTC100K

About Bybit

Bybit is the world’s second-largest cryptocurrency exchange by trading volume, serving a global community of over 60 million users. Founded in 2018, Bybit is redefining openness in the decentralized world by creating a simpler, open and equal ecosystem for everyone. With a strong focus on Web3, Bybit partners strategically with leading blockchain protocols to provide robust infrastructure and drive on-chain innovation. Renowned for its secure custody, diverse marketplaces, intuitive user experience, and advanced blockchain tools, Bybit bridges the gap between TradFi and DeFi, empowering builders, creators, and enthusiasts to unlock the full potential of Web3. Discover the future of decentralized finance at Bybit.com.

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Year-opening Triumph: Arctech Lands a 1.5GW Solar Project Order in the UAE

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ABU DHABI, UAE, Jan. 3, 2025 /PRNewswire/ — Arctech, the world’s leading solar tracking and racking solutions provider, announced that it signed a 1.5GW order of its 1P single-axis solar tracking system SkyLine II with PowerChina for a solar project in Al Ajban, UAE, marking a great start for the company in the Middle East market in 2025.

As a key initiative under “UAE Energy Strategy 2050”, which aims to provide the country with zero-emission clean energy, this 1.5GW Al Ajban Solar PV plant will become one of the largest single-site solar plants worldwide once completed.

Upon completion, this plant is projected to generate green electricity capable of fulfilling the electricity demands of approximately 160,000 households. It is expected to reduce Abu Dhabi’s annual carbon emissions by 2.4 million tons each year, thereby significantly advancing green development and facilitating energy transition in the Middle East.

Since establishing its local operations in 2017, Arctech has expanded to include a service center, an R&D center, two local offices and a manufacturing base in the Middle East. Among which, Arctech’s Jeddah Phase II manufacturing base is currently under construction and will officially enter operation in 2025. Combined with its global supply chain, this expansion will enable Arctech to achieve a local delivery capacity of 15GW.

Up to now, Arctech has established a complete full life cycle service network in the Middle East market, including technical support, supply chain delivery, after-sales service, local operation and maintenance capabilities, and brand marketing strategies. Looking ahead, Arctech is well-positioned to further contribute to UAE’s “Energy Strategy 2050” through its enhanced localization initiatives and comprehensive white-glove services.

About Arctech

Arctech (SSE-STAR:688408) is the world-leading supplier of intelligent solar trackers, fixed-tilt structures, PV cleaning robots and energy storage solutions. Empowered by over 530 patents, Arctech products have been applied in utility-scale and commercial solar PV projects since 2009. It was listed among the top 4 tracker suppliers by IHS Markit and Wood Mackenzie from 2017 to 2020. The company went public on China’s Nasdaq-style STAR market in 2020. As of June 2024, Arctech has supplied over 76 GW of tracking and racking systems to nearly 1,800 PV plants in 40 countries. For more information, please visit https://www.arctechsolar.us/. Follow us on Linkedin, Twitter, Facebook and YouTube.

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