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.
How Axi Turned Product Investment into “Most Innovative Broker 2025” Recognition at the FM Awards
Hannah Hill on Innovation, Branding & Award-Winning Technology | Executive Interview | AXI
Hannah Hill on Innovation, Branding & Award-Winning Technology | Executive Interview | AXI
Recorded live at FMLS:25, this executive interview features Hannah Hill, Head of Brand and Sponsorship at AXI, in conversation with Finance Magnates, following AXI’s win for Most Innovative Broker of the Year 2025.
In this wide-ranging discussion, Hannah shares insights on:
🔹What winning the Finance Magnates award means for AXI’s credibility and innovation
🔹How the launch of AXI Select, the capital allocation program, is redefining industry standards
🔹The development and rollout of the AXI trading app across multiple markets
🔹Driving brand evolution alongside technological advancements
🔹Encouraging and recognizing teams behind the scenes
🔹The role of marketing, content, and social media in building product awareness
Hannah explains why standout products, strategic branding, and a focus on innovation are key to growing visibility and staying ahead in a competitive brokerage landscape.
🏆 Award Highlight: Most Innovative Broker of the Year 2025
👉 Subscribe to Finance Magnates for more executive interviews, industry insights, and exclusive coverage from the world’s leading financial events.
#FMLS25 #FinanceMagnates #MostInnovativeBroker #TradingTechnology #FinTech #Brokerage #ExecutiveInterview #AXI
Recorded live at FMLS:25, this executive interview features Hannah Hill, Head of Brand and Sponsorship at AXI, in conversation with Finance Magnates, following AXI’s win for Most Innovative Broker of the Year 2025.
In this wide-ranging discussion, Hannah shares insights on:
🔹What winning the Finance Magnates award means for AXI’s credibility and innovation
🔹How the launch of AXI Select, the capital allocation program, is redefining industry standards
🔹The development and rollout of the AXI trading app across multiple markets
🔹Driving brand evolution alongside technological advancements
🔹Encouraging and recognizing teams behind the scenes
🔹The role of marketing, content, and social media in building product awareness
Hannah explains why standout products, strategic branding, and a focus on innovation are key to growing visibility and staying ahead in a competitive brokerage landscape.
🏆 Award Highlight: Most Innovative Broker of the Year 2025
👉 Subscribe to Finance Magnates for more executive interviews, industry insights, and exclusive coverage from the world’s leading financial events.
#FMLS25 #FinanceMagnates #MostInnovativeBroker #TradingTechnology #FinTech #Brokerage #ExecutiveInterview #AXI
Executive Interview | Dor Eligula | Co-Founder & Chief Business Officer, BridgeWise | FMLS:25
Executive Interview | Dor Eligula | Co-Founder & Chief Business Officer, BridgeWise | FMLS:25
In this session, Jonathan Fine form Ultimate Group speaks with Dor Eligula from Bridgewise, a fast-growing AI-powered research and analytics firm supporting brokers and exchanges worldwide.
We start with Dor’s reaction to the Summit and then move to broker growth and the quick wins brokers often overlook. Dor shares where he sees “blue ocean” growth across Asian markets and how local client behaviour shapes demand.
We also discuss the rollout of AI across investment research. Dor gives real examples of how automation and human judgment meet at Bridgewise — including moments when analysts corrected AI output, and times when AI prevented an error.
We close with a practical question: how retail investors can actually use AI without falling into common traps.
In this session, Jonathan Fine form Ultimate Group speaks with Dor Eligula from Bridgewise, a fast-growing AI-powered research and analytics firm supporting brokers and exchanges worldwide.
We start with Dor’s reaction to the Summit and then move to broker growth and the quick wins brokers often overlook. Dor shares where he sees “blue ocean” growth across Asian markets and how local client behaviour shapes demand.
We also discuss the rollout of AI across investment research. Dor gives real examples of how automation and human judgment meet at Bridgewise — including moments when analysts corrected AI output, and times when AI prevented an error.
We close with a practical question: how retail investors can actually use AI without falling into common traps.
Brendan Callan joined us fresh off the Summit’s most anticipated debate: “Is Prop Trading Good for the Industry?” Brendan argued against the motion — and the audience voted him the winner.
In this interview, Brendan explains the reasoning behind his position. He walks through the message he believes many firms avoid: that the current prop trading model is too dependent on fees, too loose on risk, and too confusing for retail audiences.
We discuss why he thinks the model grew fast, why it may run into walls, and what he believes is needed for a cleaner, more responsible version of prop trading.
This is Brendan at his frankest — sharp, grounded, and very clear about what changes are overdue.
Brendan Callan joined us fresh off the Summit’s most anticipated debate: “Is Prop Trading Good for the Industry?” Brendan argued against the motion — and the audience voted him the winner.
In this interview, Brendan explains the reasoning behind his position. He walks through the message he believes many firms avoid: that the current prop trading model is too dependent on fees, too loose on risk, and too confusing for retail audiences.
We discuss why he thinks the model grew fast, why it may run into walls, and what he believes is needed for a cleaner, more responsible version of prop trading.
This is Brendan at his frankest — sharp, grounded, and very clear about what changes are overdue.
Elina Pedersen on Growth, Stability & Ultra-Low Latency | Executive Interview | Your Bourse
Elina Pedersen on Growth, Stability & Ultra-Low Latency | Executive Interview | Your Bourse
Recorded live at FMLS:25 London, this executive interview features Elina Pedersen, in conversation with Finance Magnates, following her company’s win for Best Connectivity 2025.
🔹In this wide-ranging discussion, Elina shares insights on:
🔹What winning a Finance Magnates award means for credibility and reputation
🔹How broker demand for stability and reliability is driving rapid growth
🔹The launch of a new trade server enabling flexible front-end integrations
🔹Why ultra-low latency must be proven with data, not buzzwords
🔹Common mistakes brokers make when scaling globally
🔹Educating the industry through a newly launched Dealers Academy
🔹Where AI fits into trading infrastructure and where it doesn’t
Elina explains why resilient back-end infrastructure, deep client partnerships, and disciplined focus are critical for brokers looking to scale sustainably in today’s competitive market.
🏆 Award Highlight: Best Connectivity 2025
👉 Subscribe to Finance Magnates for more executive interviews, industry insights, and exclusive coverage from the world’s leading financial events.
#FMLS25 #FinanceMagnates #BestConnectivity #TradingTechnology #UltraLowLatency #FinTech #Brokerage #ExecutiveInterview
Recorded live at FMLS:25 London, this executive interview features Elina Pedersen, in conversation with Finance Magnates, following her company’s win for Best Connectivity 2025.
🔹In this wide-ranging discussion, Elina shares insights on:
🔹What winning a Finance Magnates award means for credibility and reputation
🔹How broker demand for stability and reliability is driving rapid growth
🔹The launch of a new trade server enabling flexible front-end integrations
🔹Why ultra-low latency must be proven with data, not buzzwords
🔹Common mistakes brokers make when scaling globally
🔹Educating the industry through a newly launched Dealers Academy
🔹Where AI fits into trading infrastructure and where it doesn’t
Elina explains why resilient back-end infrastructure, deep client partnerships, and disciplined focus are critical for brokers looking to scale sustainably in today’s competitive market.
🏆 Award Highlight: Best Connectivity 2025
👉 Subscribe to Finance Magnates for more executive interviews, industry insights, and exclusive coverage from the world’s leading financial events.
#FMLS25 #FinanceMagnates #BestConnectivity #TradingTechnology #UltraLowLatency #FinTech #Brokerage #ExecutiveInterview
In this video, we take an in-depth look at @BlueberryMarketsForex , a forex and CFD broker operating since 2016, offering access to multiple trading platforms, over 1,000 instruments, and flexible account types for different trading styles.
We break down Blueberry’s regulatory structure, including its Australian Financial Services License (AFSL), as well as its authorisation and registrations in other jurisdictions. The review also covers supported platforms such as MetaTrader 4, MetaTrader 5, cTrader, TradingView, Blueberry.X, and web-based trading.
You’ll learn about available instruments across forex, commodities, indices, share CFDs, and crypto CFDs, along with leverage options, minimum and maximum trade sizes, and how Blueberry structures its Standard and Raw accounts.
We also explain spreads, commissions, swap rates, swap-free account availability, funding and withdrawal methods, processing times, and what traders can expect from customer support and additional services.
Watch the full review to see whether Blueberry’s trading setup aligns with your experience level, strategy, and risk tolerance.
📣 Stay up to date with the latest in finance and trading. Follow Finance Magnates for industry news, insights, and global event coverage.
Connect with us:
🔗 LinkedIn: /financemagnates
👍 Facebook: /financemagnates
📸 Instagram: https://www.instagram.com/financemagnates
🐦 X: https://x.com/financemagnates
🎥 TikTok: https://www.tiktok.com/tag/financemagnates
▶️ YouTube: /@financemagnates_official
#Blueberry #BlueberryMarkets #BrokerReview #ForexBroker #CFDTrading #OnlineTrading #FinanceMagnates #TradingPlatforms #MarketInsights
In this video, we take an in-depth look at @BlueberryMarketsForex , a forex and CFD broker operating since 2016, offering access to multiple trading platforms, over 1,000 instruments, and flexible account types for different trading styles.
We break down Blueberry’s regulatory structure, including its Australian Financial Services License (AFSL), as well as its authorisation and registrations in other jurisdictions. The review also covers supported platforms such as MetaTrader 4, MetaTrader 5, cTrader, TradingView, Blueberry.X, and web-based trading.
You’ll learn about available instruments across forex, commodities, indices, share CFDs, and crypto CFDs, along with leverage options, minimum and maximum trade sizes, and how Blueberry structures its Standard and Raw accounts.
We also explain spreads, commissions, swap rates, swap-free account availability, funding and withdrawal methods, processing times, and what traders can expect from customer support and additional services.
Watch the full review to see whether Blueberry’s trading setup aligns with your experience level, strategy, and risk tolerance.
📣 Stay up to date with the latest in finance and trading. Follow Finance Magnates for industry news, insights, and global event coverage.
Connect with us:
🔗 LinkedIn: /financemagnates
👍 Facebook: /financemagnates
📸 Instagram: https://www.instagram.com/financemagnates
🐦 X: https://x.com/financemagnates
🎥 TikTok: https://www.tiktok.com/tag/financemagnates
▶️ YouTube: /@financemagnates_official
#Blueberry #BlueberryMarkets #BrokerReview #ForexBroker #CFDTrading #OnlineTrading #FinanceMagnates #TradingPlatforms #MarketInsights
