In a proposal submitted by the NFA to the CFTC, PAMM accounts in the US are under focus. If applied, new actions and reporting by brokers and money managers will be required to be maintained.
According to the proposed amendment, Introducing Brokers, Futures Commission Merchants (FCM), and Commodity Trading Advisors (CTA) and referred to as Eligible Account Managers (EAM), will be required to issue information to the NFA on allocation practices of bunched orders. According to the NFA, the purpose of the regulation is to “prevent various forms of customer abuse, such as fraudulent allocation of trades, by providing an adequate audit trail that allows customer orders to be tracked at every step of the order processing system.”
Background
Using the NFA’s terminology, managed funds in the retail forex industry have experienced “explosive growth” in recent years. Typically, they are structured through the use of a Percentage Allocation Management Module (PAMM) which allows money managers to control and send bunched orders for multiple accounts. With the PAMM, a ‘Master Account’ is selected which the manager uses to enter trades. Every managed account becomes a Sub-Account of the master account. When trading, the manager uses the master account which shows aggregated equity and positions of each sub-account, but not their individual details. This is available on the PAMM platform. Using the PAMM, the manager controls how orders are allocated among sub-accounts, such as by percentage of overall equity or fixed lot sizes.
Example:
Account 1: $1.000
Account 2: $3,000
Account 3: $6,000
Using the percentage of equity allocation system, 1 lot order to buy the EURUSD the allocation would be as such:
Account 1: 0.10 Lot EURUSD
Account 2: 0.30 Lot EURUSD
Account 3: 0.60 Lot EURUSD
When trading the master account platform, the trader sees a $10,000 balance and a 1 lot EURUSD buy.
NFA’s Worries
According to NFA, the regulator believes that the percentage allocation method is problematic as it “causes these individual accounts to be treated similar to a commodity pool's participant units—without the Master Account being legally structured as a commodity pool.” In addition, they noted several other problems with PAMMs, notably;
1) PAMMs often restrict the ability of managers to close individual positions of accounts without affecting other sub-accounts.
2) FCMs may apply restrictions on how clients can withdraw or add funds to their account. In this regard the NFA stated that, “In the extreme situation, individual client withdrawal requests are held up indefinitely because the customer's percentage lot open forex position may not be offset until the regularly offered and tradable sized position is offset for all customers at the Master Account level."
3) When removing a sub-account, some PAMMs simply reallocate the open positions to the other sub-accounts. In this process, the removed account doesn’t incur the profit or loss of the positions held in their account at the time of the removal.
In terms of PAMMs, the NFA concluded by stating that they are concerned that managed account holders may not be able to “close their accounts and have timely access to their funds, and customers are not being treated fairly as a result of this trade allocation method. ”
For PAMMs, the proposed amendments, which if the CFTC does not conduct would become approved on December 22nd, the overall initial affects may be minimal. CTAs will still be able to use PAMMs to manage forex accounts. However, dependent on their existing allocation types, they may need to be more ‘hands on’ in managing proportions of bunched order distribution. In addition, the new amendments bring new responsibilities to brokers who will now need to ensure that CTAs are in fact following their preset allocation rules. Over the longer term, the greatest effects of the new rule may be the application of NFA examinations to ensure that reporting is being conducted. Firms with a lack of structured forms to handle their reporting may have a hard time keeping up with requirements, and may find doing so is too expensive or time intensive.
Overall, while a major change is not forthcoming to the world of PAMM accounts in the US. The NFA’s amendment, specifically that they mention how it can be used as a method to resemble a pool operator, does represent that the regulator is increasing its focus on managed accounts. With the PAMM regulation being updated, it won’t be surprising if the NFA also conducts investigations into other pseudo-managed products such as EAs, social trading, and copy trading.
According to the proposed amendment, Introducing Brokers, Futures Commission Merchants (FCM), and Commodity Trading Advisors (CTA) and referred to as Eligible Account Managers (EAM), will be required to issue information to the NFA on allocation practices of bunched orders. According to the NFA, the purpose of the regulation is to “prevent various forms of customer abuse, such as fraudulent allocation of trades, by providing an adequate audit trail that allows customer orders to be tracked at every step of the order processing system.”
Background
Using the NFA’s terminology, managed funds in the retail forex industry have experienced “explosive growth” in recent years. Typically, they are structured through the use of a Percentage Allocation Management Module (PAMM) which allows money managers to control and send bunched orders for multiple accounts. With the PAMM, a ‘Master Account’ is selected which the manager uses to enter trades. Every managed account becomes a Sub-Account of the master account. When trading, the manager uses the master account which shows aggregated equity and positions of each sub-account, but not their individual details. This is available on the PAMM platform. Using the PAMM, the manager controls how orders are allocated among sub-accounts, such as by percentage of overall equity or fixed lot sizes.
Example:
Account 1: $1.000
Account 2: $3,000
Account 3: $6,000
Using the percentage of equity allocation system, 1 lot order to buy the EURUSD the allocation would be as such:
Account 1: 0.10 Lot EURUSD
Account 2: 0.30 Lot EURUSD
Account 3: 0.60 Lot EURUSD
When trading the master account platform, the trader sees a $10,000 balance and a 1 lot EURUSD buy.
NFA’s Worries
According to NFA, the regulator believes that the percentage allocation method is problematic as it “causes these individual accounts to be treated similar to a commodity pool's participant units—without the Master Account being legally structured as a commodity pool.” In addition, they noted several other problems with PAMMs, notably;
1) PAMMs often restrict the ability of managers to close individual positions of accounts without affecting other sub-accounts.
2) FCMs may apply restrictions on how clients can withdraw or add funds to their account. In this regard the NFA stated that, “In the extreme situation, individual client withdrawal requests are held up indefinitely because the customer's percentage lot open forex position may not be offset until the regularly offered and tradable sized position is offset for all customers at the Master Account level."
3) When removing a sub-account, some PAMMs simply reallocate the open positions to the other sub-accounts. In this process, the removed account doesn’t incur the profit or loss of the positions held in their account at the time of the removal.
In terms of PAMMs, the NFA concluded by stating that they are concerned that managed account holders may not be able to “close their accounts and have timely access to their funds, and customers are not being treated fairly as a result of this trade allocation method. ”
For PAMMs, the proposed amendments, which if the CFTC does not conduct would become approved on December 22nd, the overall initial affects may be minimal. CTAs will still be able to use PAMMs to manage forex accounts. However, dependent on their existing allocation types, they may need to be more ‘hands on’ in managing proportions of bunched order distribution. In addition, the new amendments bring new responsibilities to brokers who will now need to ensure that CTAs are in fact following their preset allocation rules. Over the longer term, the greatest effects of the new rule may be the application of NFA examinations to ensure that reporting is being conducted. Firms with a lack of structured forms to handle their reporting may have a hard time keeping up with requirements, and may find doing so is too expensive or time intensive.
Overall, while a major change is not forthcoming to the world of PAMM accounts in the US. The NFA’s amendment, specifically that they mention how it can be used as a method to resemble a pool operator, does represent that the regulator is increasing its focus on managed accounts. With the PAMM regulation being updated, it won’t be surprising if the NFA also conducts investigations into other pseudo-managed products such as EAs, social trading, and copy trading.
Claude Powers Nine of Ten Broker AI Agents That Now Trade Live Accounts
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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