When all have access to custom EAs and robo-advisors, the price of these will naturally drop.
Few can be in doubt that financial trading is every year moving increasingly towards automated and robotic trading.
The majority of the users in the retail segment have no other choice today than to follow other traders, or to follow ready-made signals. It is common to the present robotic trading that the user typically has no influence on the trader he follows, or the signal he uses.
Today
Today, an estimated 0.1% of the traders develop and provide the signals/EAs to the non-programmers in the market, which are close to 100% of the retail users. Despite visual development tools for EAs becoming available over the past years, it still takes time to develop new EAs. Many of the EAs in the market are circulating for years, and are reused. There is a high demand for EAs and signals developed and tested using recent data.
Tomorrow
There is a clear trend towards an increasing use of visual methods for custom development of strategies, EAs, signals and robo-advisors. Tomorrow we can expect that it will be possible for the unskilled user to provide these signals and EAs himself.
This trend will have a major impact on the future of financial trading, the providers, the programmers, the brokers – all participants in the sector will be influenced.
Approaching a price of zero
When any user can develop his own robotic trading, the amount of strategies in the market will increase. The move from 0.1% of the traders providing EAs, towards a magnitude of 90% of the traders expected to self-provide without programming, will multiply the strategies in the market by an estimated factor of 10,000. The exact number we do not know at this stage, but we know the figure is exponential.
When all have access to custom signals/EAs/robo-advisors, the price of these will naturally drop, approaching a price of zero.
The influence on the market for EAs
A price drop approaching zero for an EA, combined with an oversupply of custom developed strategies, will dilute and flood the market with the provided EAs, and will make EA development for selling or for other users close to unprofitable.
The influence on social and copy trading
Several surveys have concluded that traders prefer to have an influence and be more in control. These surveys did not include the scenarios where the trader could develop his own signals. But it would be expected that the majority of users, and previous users of social trading, will start providing these signal for themselves, or pick signals from the oversupplied market.
Many users will probably eventually choose to do it themselves, as navigating the very high count of free signals would be confusing and time consuming.
Another major influence we can expect is when the user can provide his own signals/robo-advisors/EAs, implying that there is no additional spread added by the signal provider! Where the typical added value to the spread today is from 1 pips up to in many cases 2-3.
The lower spread will have a major influence on the trade frequency, as removing 1-2 pips from the spread will mean strategies in the lower time frames can be used, for example in the 1 minute time frame - strategies which did not perform before may start to perform with the lower spread.
The influence on robo-advisors
'Robo-advisors' is a relatively new term and phenomenon in the market, a spin-off of wealth management, where retail users now can use a robot to advise, rather than an investment advisor. Today focused on the investment time frame of stocks and derived long-only instruments, large amounts of venture capitalist money is injected in this segment.
A survey from E*TRADE recently concluded that users prefer an influence on the robo-advisor. There is not a big gap between today´s robotic advisors, to solutions where the user can self-provide his advice, which would imply also automating the advice. When this happens, part of this trading will be expected to move towards offline trading, and even move to other markets traded 24 hours a day, such as FX.
The influence on the programmers
When signals, robo-advisors and EAs can be developed by any trader, the programmer will no longer be needed. The 1,000+ programmers at Goldman Sachs will not be out of work from one day to another, but the attractive business of developing custom financial trading will for sure shrink dramatically. However, the programmer will still be needed, as no visual development environment is complete - there will always be traders who have special requirements, especially in the institutional segment.
The influence on the market
Today only a minority of traders in the financial market can develop their own custom trading. Nobody can predict what will happen when traders tomorrow have the ability to develop their own custom signals, but we can imagine the influence on the market.
Few can be in doubt that financial trading is every year moving increasingly towards automated and robotic trading.
The majority of the users in the retail segment have no other choice today than to follow other traders, or to follow ready-made signals. It is common to the present robotic trading that the user typically has no influence on the trader he follows, or the signal he uses.
Today
Today, an estimated 0.1% of the traders develop and provide the signals/EAs to the non-programmers in the market, which are close to 100% of the retail users. Despite visual development tools for EAs becoming available over the past years, it still takes time to develop new EAs. Many of the EAs in the market are circulating for years, and are reused. There is a high demand for EAs and signals developed and tested using recent data.
Tomorrow
There is a clear trend towards an increasing use of visual methods for custom development of strategies, EAs, signals and robo-advisors. Tomorrow we can expect that it will be possible for the unskilled user to provide these signals and EAs himself.
This trend will have a major impact on the future of financial trading, the providers, the programmers, the brokers – all participants in the sector will be influenced.
Approaching a price of zero
When any user can develop his own robotic trading, the amount of strategies in the market will increase. The move from 0.1% of the traders providing EAs, towards a magnitude of 90% of the traders expected to self-provide without programming, will multiply the strategies in the market by an estimated factor of 10,000. The exact number we do not know at this stage, but we know the figure is exponential.
When all have access to custom signals/EAs/robo-advisors, the price of these will naturally drop, approaching a price of zero.
The influence on the market for EAs
A price drop approaching zero for an EA, combined with an oversupply of custom developed strategies, will dilute and flood the market with the provided EAs, and will make EA development for selling or for other users close to unprofitable.
The influence on social and copy trading
Several surveys have concluded that traders prefer to have an influence and be more in control. These surveys did not include the scenarios where the trader could develop his own signals. But it would be expected that the majority of users, and previous users of social trading, will start providing these signal for themselves, or pick signals from the oversupplied market.
Many users will probably eventually choose to do it themselves, as navigating the very high count of free signals would be confusing and time consuming.
Another major influence we can expect is when the user can provide his own signals/robo-advisors/EAs, implying that there is no additional spread added by the signal provider! Where the typical added value to the spread today is from 1 pips up to in many cases 2-3.
The lower spread will have a major influence on the trade frequency, as removing 1-2 pips from the spread will mean strategies in the lower time frames can be used, for example in the 1 minute time frame - strategies which did not perform before may start to perform with the lower spread.
The influence on robo-advisors
'Robo-advisors' is a relatively new term and phenomenon in the market, a spin-off of wealth management, where retail users now can use a robot to advise, rather than an investment advisor. Today focused on the investment time frame of stocks and derived long-only instruments, large amounts of venture capitalist money is injected in this segment.
A survey from E*TRADE recently concluded that users prefer an influence on the robo-advisor. There is not a big gap between today´s robotic advisors, to solutions where the user can self-provide his advice, which would imply also automating the advice. When this happens, part of this trading will be expected to move towards offline trading, and even move to other markets traded 24 hours a day, such as FX.
The influence on the programmers
When signals, robo-advisors and EAs can be developed by any trader, the programmer will no longer be needed. The 1,000+ programmers at Goldman Sachs will not be out of work from one day to another, but the attractive business of developing custom financial trading will for sure shrink dramatically. However, the programmer will still be needed, as no visual development environment is complete - there will always be traders who have special requirements, especially in the institutional segment.
The influence on the market
Today only a minority of traders in the financial market can develop their own custom trading. Nobody can predict what will happen when traders tomorrow have the ability to develop their own custom signals, but we can imagine the influence on the market.
Sky Links Capital Adds LBMA Gold Fixing, Options and Weekend Trading
Featured Videos
FM Daily Brief – 9 June 2026
FM Daily Brief – 9 June 2026
FM Daily Brief – 9 June 2026
FM Daily Brief – 9 June 2026
Today’s Tuesday, the 9th of June 2026, and these are our main stories: eToro’s customer assets climbed back above $20 billion, Prop trading model in prediction markets, and Leverate launched a new AI assistant for brokers and traders.
Today’s Tuesday, the 9th of June 2026, and these are our main stories: eToro’s customer assets climbed back above $20 billion, Prop trading model in prediction markets, and Leverate launched a new AI assistant for brokers and traders.
Today’s Tuesday, the 9th of June 2026, and these are our main stories: eToro’s customer assets climbed back above $20 billion, Prop trading model in prediction markets, and Leverate launched a new AI assistant for brokers and traders.
Today’s Tuesday, the 9th of June 2026, and these are our main stories: eToro’s customer assets climbed back above $20 billion, Prop trading model in prediction markets, and Leverate launched a new AI assistant for brokers and traders.
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy