The Future of Trading: Octa Broker's Exclusive AI Forecast
Thursday,16/01/2025|14:30GMTby
FM
AI should be perceived as a convenient tool rather than a magic pill.
I'd like to see it use a touchpad, though.
2025 is expected to be the year of increasing AI adoption. According to recent PwC findings, '2025 will bring significant advancements in quality, accuracy, capability, and automation that will continue to compound on each other, accelerating toward a period of exponential growth'. Finance, which remains one of the top three sectors with the highest AI penetration, according to Statista and PwC, is no exception. Corporations and retail traders are expected to accelerate AI deployment to increase productivity while carefully mitigating the risks of overreliance on algorithms. In this material, Octa, a broker with globally recognised licenses, shares insights on how AI in trading will evolve in 2025.
Emerging AI trends in trading for 2025
Machine learning continues to redefine the trading landscape by enhancing the speed and precision of market analysis. The 2024 IMF Global Financial Stability Report, Chapter 3, highlights that advancements in artificial intelligence are poised to improve market efficiency. To be more precise, AI-driven tools are expected to enable faster portfolio rebalancing and more efficient processing of large trades in asset classes like equities and bonds. However, the IMF also notes the potential risks associated with these technologies, such as heightened volatility during market stress.
Neural networks, particularly large language models (LLMs), have shown immense potential for sentiment analysis in trading. Since their introduction in 2017, the share of AI-related patent applications in algorithmic trading has surged from 19% to over 50% annually. The tools are already deployed to process market sentiment from news and social media in near real-time, offering traders insights into geopolitical developments and economic forecasts.
Algorithmic trading has grown substantially, with AI-driven systems enabling faster execution and reduced operational errors. High-frequency trading powered by AI has seen significant adoption, particularly in liquid asset classes such as equities and derivatives. While detailed statistics on future adoption rates remain speculative, the World Trade Organization's focus on the digital transformation of markets underscores the increasing reliance on automation to enhance trading efficiency and liquidity.
Opportunities for traders in 2025
AI's capacity to process sizable quantities of historical and real-time facts allows investors to benefit from predictive insights that had been formerly inconceivable. Advancements in AI-powered predictive analytics are changing how we forecast international markets by making predictions more accurate and providing clear, actionable insights. These tools are transforming financial markets, helping investors spot trends and respond to changes with greater confidence.
Emotions can often get in the way of smart trading decisions, especially when markets are highly volatile. AI helps solve this problem by relying purely on data and predictive models for decision-making. According to the IMF's Global Financial Stability Report, AI-driven tools are already helping retail traders manage risks more effectively and avoid impulsive trades that could lead to losses.
As AI tool costs decrease, features like real-time portfolio optimisation and automated trading strategies are becoming accessible to individual traders. Previously available only to large financial institutions, these advanced tools are levelling the playing field, enabling retail investors to trade with more confidence and accuracy.
Risks and challenges in AI integration
AI-driven business strategies come with inherent risks. The IMF warns that over-reliance on algorithmic models could increase market volatility during a global crisis. For example, AI-driven exchanges exhibited herd-like behaviour during the March 2020 market turmoil. This resulted in significant price volatility and required a robust regulatory mechanism to manage the risks involved.
The integrity of AI systems faces increasing security challenges. Research shows that the effectiveness of AI models depends on data quality and security. Recent statistics reveal an alarming trend: cyber threats targeting AI are increasing by 47%. The industry requires robust security measures to protect the algorithms against data manipulation and unauthorised access.
While AI offers tremendous value, its complexity poses a challenge for low-tech businesses. The complexity of advanced AI systems makes it crucial to have accessible training resources and intuitive interfaces. These tools help traders, especially newcomers, understand and use AI effectively, paving the way for broader adoption across trading communities.
Preparing for AI-driven transformation
Thriving in an AI-pushed trading environment requires specific training. Otherwise, traders risk facing sophisticated systems they can't properly handle or misusing AI-based tools, consequently missing out on their benefits. To prepare for future AI tools, traders should try the available software now. The safest option is to test AI deployment when trading on a demo account. This option is available on trading platforms provided by global brokers like Octa. For example, Octa broker currently uses AI to facilitate graph analysis and boost pattern identification when conducting technical analysis. Following the increased AI adoption trend, the company will likely keep embedding more AI-based tools on the platform.
AI is set to further redefine trading in 2025. From enhanced predictive analytics to democratising organisational productivity tools, the technology enables traders to make smarter, faster decisions. However, sustainable usage should remain at the core. One should be aware of risks such as over-reliance on algorithms and data security. To mitigate these risks, a reasonable strategy would be to combine AI-based analytics with human market monitoring and decision-making. AI should be perceived as a convenient tool rather than a magic pill for making accurate trading decisions.
About Octa
Octa is an international broker that has been providing online trading services worldwide since 2011. It offers commission-free access to financial markets and a variety of services used by clients from 180 countries who have opened more than 52 million trading accounts. To help its clients reach their investment goals, Octa offers free educational webinars, articles, and analytical tools.
The company is involved in a comprehensive network of charitable and humanitarian initiatives, including the improvement of educational infrastructure and short-notice relief projects supporting local communities.
Since its foundation, Octa has won more than 90 awards, including the 'Most Reliable Broker Global 2024' award from Global Forex Awards and the 'Best Mobile Trading Platform 2024' award from Global Brand Magazine.
2025 is expected to be the year of increasing AI adoption. According to recent PwC findings, '2025 will bring significant advancements in quality, accuracy, capability, and automation that will continue to compound on each other, accelerating toward a period of exponential growth'. Finance, which remains one of the top three sectors with the highest AI penetration, according to Statista and PwC, is no exception. Corporations and retail traders are expected to accelerate AI deployment to increase productivity while carefully mitigating the risks of overreliance on algorithms. In this material, Octa, a broker with globally recognised licenses, shares insights on how AI in trading will evolve in 2025.
Emerging AI trends in trading for 2025
Machine learning continues to redefine the trading landscape by enhancing the speed and precision of market analysis. The 2024 IMF Global Financial Stability Report, Chapter 3, highlights that advancements in artificial intelligence are poised to improve market efficiency. To be more precise, AI-driven tools are expected to enable faster portfolio rebalancing and more efficient processing of large trades in asset classes like equities and bonds. However, the IMF also notes the potential risks associated with these technologies, such as heightened volatility during market stress.
Neural networks, particularly large language models (LLMs), have shown immense potential for sentiment analysis in trading. Since their introduction in 2017, the share of AI-related patent applications in algorithmic trading has surged from 19% to over 50% annually. The tools are already deployed to process market sentiment from news and social media in near real-time, offering traders insights into geopolitical developments and economic forecasts.
Algorithmic trading has grown substantially, with AI-driven systems enabling faster execution and reduced operational errors. High-frequency trading powered by AI has seen significant adoption, particularly in liquid asset classes such as equities and derivatives. While detailed statistics on future adoption rates remain speculative, the World Trade Organization's focus on the digital transformation of markets underscores the increasing reliance on automation to enhance trading efficiency and liquidity.
Opportunities for traders in 2025
AI's capacity to process sizable quantities of historical and real-time facts allows investors to benefit from predictive insights that had been formerly inconceivable. Advancements in AI-powered predictive analytics are changing how we forecast international markets by making predictions more accurate and providing clear, actionable insights. These tools are transforming financial markets, helping investors spot trends and respond to changes with greater confidence.
Emotions can often get in the way of smart trading decisions, especially when markets are highly volatile. AI helps solve this problem by relying purely on data and predictive models for decision-making. According to the IMF's Global Financial Stability Report, AI-driven tools are already helping retail traders manage risks more effectively and avoid impulsive trades that could lead to losses.
As AI tool costs decrease, features like real-time portfolio optimisation and automated trading strategies are becoming accessible to individual traders. Previously available only to large financial institutions, these advanced tools are levelling the playing field, enabling retail investors to trade with more confidence and accuracy.
Risks and challenges in AI integration
AI-driven business strategies come with inherent risks. The IMF warns that over-reliance on algorithmic models could increase market volatility during a global crisis. For example, AI-driven exchanges exhibited herd-like behaviour during the March 2020 market turmoil. This resulted in significant price volatility and required a robust regulatory mechanism to manage the risks involved.
The integrity of AI systems faces increasing security challenges. Research shows that the effectiveness of AI models depends on data quality and security. Recent statistics reveal an alarming trend: cyber threats targeting AI are increasing by 47%. The industry requires robust security measures to protect the algorithms against data manipulation and unauthorised access.
While AI offers tremendous value, its complexity poses a challenge for low-tech businesses. The complexity of advanced AI systems makes it crucial to have accessible training resources and intuitive interfaces. These tools help traders, especially newcomers, understand and use AI effectively, paving the way for broader adoption across trading communities.
Preparing for AI-driven transformation
Thriving in an AI-pushed trading environment requires specific training. Otherwise, traders risk facing sophisticated systems they can't properly handle or misusing AI-based tools, consequently missing out on their benefits. To prepare for future AI tools, traders should try the available software now. The safest option is to test AI deployment when trading on a demo account. This option is available on trading platforms provided by global brokers like Octa. For example, Octa broker currently uses AI to facilitate graph analysis and boost pattern identification when conducting technical analysis. Following the increased AI adoption trend, the company will likely keep embedding more AI-based tools on the platform.
AI is set to further redefine trading in 2025. From enhanced predictive analytics to democratising organisational productivity tools, the technology enables traders to make smarter, faster decisions. However, sustainable usage should remain at the core. One should be aware of risks such as over-reliance on algorithms and data security. To mitigate these risks, a reasonable strategy would be to combine AI-based analytics with human market monitoring and decision-making. AI should be perceived as a convenient tool rather than a magic pill for making accurate trading decisions.
About Octa
Octa is an international broker that has been providing online trading services worldwide since 2011. It offers commission-free access to financial markets and a variety of services used by clients from 180 countries who have opened more than 52 million trading accounts. To help its clients reach their investment goals, Octa offers free educational webinars, articles, and analytical tools.
The company is involved in a comprehensive network of charitable and humanitarian initiatives, including the improvement of educational infrastructure and short-notice relief projects supporting local communities.
Since its foundation, Octa has won more than 90 awards, including the 'Most Reliable Broker Global 2024' award from Global Forex Awards and the 'Best Mobile Trading Platform 2024' award from Global Brand Magazine.
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Marketing in 2026 Audiences, Costs, and Smarter AI
Marketing in 2026 Audiences, Costs, and Smarter AI
As brokers eye B2B business and compete with fintechs and crypto exchanges alike, marketers need to act wisely with often limited budgets. AI can offer scalable solutions, but only if used properly.
Join seasoned marketing executives and specialists as they discuss the main challenges they identify in financial services in 2026 and how they address them.
Attendees of this session will walk away with:
- A nuts-and-bolts account of acquisition costs across platforms and geos
- Analysis of today’s multi-layered audience segments and differences in behaviour
- First-hand account of how global brokers balance consistency and local flavour
- Notes from the field about intelligently using AI and automation in marketing
Speakers:
-Yam Yehoshua, Editor-In-Chief at Finance Magnates
-Federico Paderni, Managing Director for Growth Markets in Europe at X
-Jo Benton, Chief Marketing Officer, Consulting | Fractional CMO
-Itai Levitan, Head of Strategy at investingLive
-Roberto Napolitano, CMO at Innovate Finance
-Tony Cross, Director at Monk Communications
#fmls #fmls25 #fmevents #FintechMarketing #AI #DigitalStrategy #Fintech #Innovation
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As brokers eye B2B business and compete with fintechs and crypto exchanges alike, marketers need to act wisely with often limited budgets. AI can offer scalable solutions, but only if used properly.
Join seasoned marketing executives and specialists as they discuss the main challenges they identify in financial services in 2026 and how they address them.
Attendees of this session will walk away with:
- A nuts-and-bolts account of acquisition costs across platforms and geos
- Analysis of today’s multi-layered audience segments and differences in behaviour
- First-hand account of how global brokers balance consistency and local flavour
- Notes from the field about intelligently using AI and automation in marketing
Speakers:
-Yam Yehoshua, Editor-In-Chief at Finance Magnates
-Federico Paderni, Managing Director for Growth Markets in Europe at X
-Jo Benton, Chief Marketing Officer, Consulting | Fractional CMO
-Itai Levitan, Head of Strategy at investingLive
-Roberto Napolitano, CMO at Innovate Finance
-Tony Cross, Director at Monk Communications
#fmls #fmls25 #fmevents #FintechMarketing #AI #DigitalStrategy #Fintech #Innovation
Connect with us at:
🔗 LinkedIn: / financemagnates-events
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Much like their traders in the market, brokers must diversify to manage risk and stay resilient. But that can get costly, clunky, and lengthy.
This candid panel brings together builders across the trading infrastructure space to uncover the shifting dynamics behind tools, interfaces, and full-stack ambitions.
Attendees will hear:
-Why platform dependency has become one of the most overlooked risks in the trading business?
-Buy vs. build: What do hybrid models look like, and why are industry graveyards filled with failed ‘killer apps’?
-How AI is already changing execution, risk, and reporting—and what’s next?
-Which features, assets, and tools gain the most traction, and where brokers should look for tech-driven retention?
Speakers:
-Stephen Miles, Chief Revenue Officer at FYNXT
-John Morris, Co-Founder at FXBlue
-Matthew Smith, Group Chair & CEO at EC Markets
-Tom Higgins, Founder & CEO at Gold-i
-Gil Ben Hur, Founder at 5% Group
#fmls #fmls25 #fmevents #Brokers #Trading #Fintech #FintechInnovation #TradingTechnology #Innovation
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
Much like their traders in the market, brokers must diversify to manage risk and stay resilient. But that can get costly, clunky, and lengthy.
This candid panel brings together builders across the trading infrastructure space to uncover the shifting dynamics behind tools, interfaces, and full-stack ambitions.
Attendees will hear:
-Why platform dependency has become one of the most overlooked risks in the trading business?
-Buy vs. build: What do hybrid models look like, and why are industry graveyards filled with failed ‘killer apps’?
-How AI is already changing execution, risk, and reporting—and what’s next?
-Which features, assets, and tools gain the most traction, and where brokers should look for tech-driven retention?
Speakers:
-Stephen Miles, Chief Revenue Officer at FYNXT
-John Morris, Co-Founder at FXBlue
-Matthew Smith, Group Chair & CEO at EC Markets
-Tom Higgins, Founder & CEO at Gold-i
-Gil Ben Hur, Founder at 5% Group
#fmls #fmls25 #fmevents #Brokers #Trading #Fintech #FintechInnovation #TradingTechnology #Innovation
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
Educators, IBs, And Other Regional Growth Drivers
Educators, IBs, And Other Regional Growth Drivers
When acquisition costs rise and AI generated reviews are exactly as useful as they sound, performing and fair partners can make or break brokers.
This session looks at how these players are shaping access, trust and user engagement, and what the most effective partnership models look like in 2025.
Key Themes:
- Building trader communities through education and local expertise
- Aligning broker incentives with long-term regional strategies
- Regional regulation and the realities of compliant acquisition
- What’s next for performance-driven partnerships in online trading
Speakers:
-Adam Button, Chief Currency Analyst at investingLive
-Zander Van Der Merwe, Key Individual & Head of Sales at TD Markets
-Brunno Huertas, Regional Manager – Latin America at Tickmill
-Paul Chalmers, CEO at UK Trading Academy
#fmls #fmls25 #fmevents #Brokers #FinanceLeadership #Trading #Fintech #BrokerGrowth #FintechPartnerships #RegionalMarkets
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
When acquisition costs rise and AI generated reviews are exactly as useful as they sound, performing and fair partners can make or break brokers.
This session looks at how these players are shaping access, trust and user engagement, and what the most effective partnership models look like in 2025.
Key Themes:
- Building trader communities through education and local expertise
- Aligning broker incentives with long-term regional strategies
- Regional regulation and the realities of compliant acquisition
- What’s next for performance-driven partnerships in online trading
Speakers:
-Adam Button, Chief Currency Analyst at investingLive
-Zander Van Der Merwe, Key Individual & Head of Sales at TD Markets
-Brunno Huertas, Regional Manager – Latin America at Tickmill
-Paul Chalmers, CEO at UK Trading Academy
#fmls #fmls25 #fmevents #Brokers #FinanceLeadership #Trading #Fintech #BrokerGrowth #FintechPartnerships #RegionalMarkets
Connect with us at:
🔗 LinkedIn: / financemagnates-events
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🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
The Leap to Everything App: Are Brokers There Yet?
The Leap to Everything App: Are Brokers There Yet?
As the arms race to bundle investing, personal finance, and wallets under super apps grows fiercer, brokers are caught between a rock and a hard place.
This session explores unexpected ways for industry players to collaborate as consumer habits evolve, competitors eye the traffic, and regulation becomes more nuanced.
Speakers:
-Laura McCracken,CEO | Advisory Board Member at Blackheath Advisors | The Payments Association
-Slobodan Manojlović,Vice President | Lead Software Engineer at JP Morgan Chase & Co.
-Jordan Sinclair, President at Robinhood UK
-Simon Pelletier, Head of Product at Yuh
Gerald Perez, CEO at Interactive Brokers UK
#fmls #fmls25 #fmevents #Brokers #FinanceLeadership #Trading #Fintech #Innovation
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
As the arms race to bundle investing, personal finance, and wallets under super apps grows fiercer, brokers are caught between a rock and a hard place.
This session explores unexpected ways for industry players to collaborate as consumer habits evolve, competitors eye the traffic, and regulation becomes more nuanced.
Speakers:
-Laura McCracken,CEO | Advisory Board Member at Blackheath Advisors | The Payments Association
-Slobodan Manojlović,Vice President | Lead Software Engineer at JP Morgan Chase & Co.
-Jordan Sinclair, President at Robinhood UK
-Simon Pelletier, Head of Product at Yuh
Gerald Perez, CEO at Interactive Brokers UK
#fmls #fmls25 #fmevents #Brokers #FinanceLeadership #Trading #Fintech #Innovation
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
Mind The Gap: Can Retail Investors Save the UK Stock Market?
Mind The Gap: Can Retail Investors Save the UK Stock Market?
As the dire state of listing and investment in the UK goes from a financial services problem to a national challenge, the retail investing industry is taken to task.
Join a host of executives and experts for a candid conversation about the future of millions of Brits, as seen from a financial services standpoint:
-Are they happy with the Leeds Reform, in principle and in practice?
-Is it the government’s job to affect the ‘saver’ mentality? Is it doing well?
-What can brokers and fintechs do to spur UK investment?
-How can the FCA balance greater flexibility with consumer protection?
Speakers:
-Adam Button, Chief Currency Analyst at investingLive
-Nicola Higgs, Partner at Latham & Watkins
-Dan Lane, Investment Content Lead at Robinhood UK
-Jack Crone, PR & Public Affairs Lead at IG
-David Belle, Founder at Fink Money
#fmls #fmls25 #fmevents #Brokers #FinanceLeadership #Trading #Fintech #RetailInvesting #UKFinance
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
As the dire state of listing and investment in the UK goes from a financial services problem to a national challenge, the retail investing industry is taken to task.
Join a host of executives and experts for a candid conversation about the future of millions of Brits, as seen from a financial services standpoint:
-Are they happy with the Leeds Reform, in principle and in practice?
-Is it the government’s job to affect the ‘saver’ mentality? Is it doing well?
-What can brokers and fintechs do to spur UK investment?
-How can the FCA balance greater flexibility with consumer protection?
Speakers:
-Adam Button, Chief Currency Analyst at investingLive
-Nicola Higgs, Partner at Latham & Watkins
-Dan Lane, Investment Content Lead at Robinhood UK
-Jack Crone, PR & Public Affairs Lead at IG
-David Belle, Founder at Fink Money
#fmls #fmls25 #fmevents #Brokers #FinanceLeadership #Trading #Fintech #RetailInvesting #UKFinance
Connect with us at:
🔗 LinkedIn: / financemagnates-events
👍 Facebook: / financemagnatesevents
📸 Instagram: / fmevents_official
🐦 Twitter: / f_m_events
🎥 TikTok: / fmevents_official
