The company reported billions in two-week volume on virtual capital as Perpetuals also signed a tokenized commodities deal with Datavault AI.
The Nasdaq-listed firm run by a former FTX Europe boss declares it absorbs all trading losses, while declining to say how its book is funded.
Jason Alderman, chief communications officer at Perpetuals
Perpetuals.com,
the Nasdaq-listed firm run by former FTX Europe boss Patrick Gruhn, says its
new UpsideOnly platform drew more than 30,000 active users and $4.5 billion in
trading volume in its first two weeks. There is a catch worth stating up front:
none of that money was real.
Users do
not trade their own capital. They forecast moves in assets like gold, Bitcoin
and major stocks using virtual money, and the company turns those predictions
into trades with its own funds, keeping half of any profit for users and
covering any losses itself.
In written
responses to questions from FinanceMagnates.com, Perpetuals defended both that
structure and the way it sells the product. "Perpetuals generates revenue
from its own proprietary trading, not from users," Jason Alderman, the
company’s Chief Communications Officer (CMO), commented.
Those are
simulated figures, showing what users chose to bet on rather than where real
money moved.
A Game in the Terms, Prop
Trading in the Pitch
Perpetuals
sells UpsideOnly as an AI-powered prop trading platform. Its own terms call it
an online prediction analytics game and trading simulation platform.
Asked why
the two descriptions differ, the company said they cover separate parts of the
same operation. "The two descriptions refer to different aspects of the
same model," said Alderman.
The game
label, Alderman added, reflects the user experience and the platform's legal
structure, while the prop trading label describes how the company uses player
signals to trade its own money. Users, he continued, do not buy real stocks,
derivatives or any other instruments.
The CMO
said the platform is open to users in the EU and the US, and that it works as a
prediction game rather than a brokerage or managed account.
The
compliance language in the announcement, citing MiFID II, MiCA, DORA and EMIR,
applies to an affiliate, PM MTF Ltd., not to UpsideOnly itself, which is run by
a Perpetuals subsidiary, USO Labs.
The pitch
rests on a promise that users cannot lose.
"If a
trade loses money, the loss is absorbed by the company rather than the
user," Alderman commented for FinanceMagnates.com. Users can place a
refundable deposit to lift their payout eligibility, capped at $500 and, he added,
"held separately in U.S. Treasury Bills by an external fiduciary,"
not used for trading.
FinanceMagnates.com
asked how the trading book is funded to back that promise, given Perpetuals'
roughly $20 million market value and its run of losses.
The company
declined to give figures, saying it does "not comment on specific capital
allocation, treasury management, or exposure limits..." beyond public
disclosures, and that it is "well-positioned to deliver on our mission and
to grow."
Perpetuals
also said the $20 million valuation and the loss history belong to Earlyworks,
the listed shell it absorbed, and "do not reflect the value and financial
forecast of Perpetuals.com Ltd."
It did not
offer alternative figures for the current business.
Prop Firms and Prediction
Markets Are Already Colliding
UpsideOnly
arrives as the line between prop trading and prediction markets blurs.
Others
moved sooner. For Traders launched a prediction-markets prop product in beta,
billed as a first for a prop firm, routing events from Kalshi and other venues
into a challenge format.
A Tokenized Commodities
Deal With a Volatile Partner
Alongside
the user numbers, Perpetuals said it signed a Mutual Services Agreement with
Datavault AI to list tokenized real-world commodity assets, trading on the
EU-licensed PM MTF venue that runs on Perpetuals technology.
The deal
starts with the MTB Copper project and could widen to gold, copper, geothermal
energy, US critical minerals and European iron and nickel resources, with
combined targeted issuance above $328 million, the company said.
Datavault
AI, also Nasdaq-listed, is a thinly valued partner. Its shares recently traded
around $0.42 for a market value near $476 million, and the stock is down about
70% over six months even after the company reported revenue growth of 1,274%
over the trailing twelve months through the first quarter of 2026.
The venture
carries history. Gruhn ran FTX Europe, the arm Sam Bankman-Fried's exchange
bought in 2021 for $323 million, which collapsed alongside the wider group in
2022.
After the
bankruptcy, the FTX estate sued to claw back that money. The dispute ended in
February 2024, when Gruhn and co-founder Robin Matzke bought the European
assets back for $32.7 million with what Alderman called "a full release of
any other known or unknown claims," leaving no clawback outstanding
against them.
What
Perpetuals carried forward is the technology and a trading dataset that
Alderman said spans more than 22 billion retail trades, anonymized and tracing
through FTX to the firm's earlier Digital Assets DA AG business.
"We do
not disclose proprietary details regarding the composition of the
dataset," he said.
Perpetuals
reached the Nasdaq by converting Earlyworks, a Japanese-listed shell, into
Perpetuals.com Ltd in February.
Gruhn has
leaned into the early trading mix as proof of changing retail behavior, saying
users who favored gold over Bitcoin are "behaving like macro
traders."
Whether
that holds, and whether a no-loss prediction game can keep feeding a profitable
trading book, will take more than two weeks of simulated volume to judge.
Perpetuals.com,
the Nasdaq-listed firm run by former FTX Europe boss Patrick Gruhn, says its
new UpsideOnly platform drew more than 30,000 active users and $4.5 billion in
trading volume in its first two weeks. There is a catch worth stating up front:
none of that money was real.
Users do
not trade their own capital. They forecast moves in assets like gold, Bitcoin
and major stocks using virtual money, and the company turns those predictions
into trades with its own funds, keeping half of any profit for users and
covering any losses itself.
In written
responses to questions from FinanceMagnates.com, Perpetuals defended both that
structure and the way it sells the product. "Perpetuals generates revenue
from its own proprietary trading, not from users," Jason Alderman, the
company’s Chief Communications Officer (CMO), commented.
Those are
simulated figures, showing what users chose to bet on rather than where real
money moved.
A Game in the Terms, Prop
Trading in the Pitch
Perpetuals
sells UpsideOnly as an AI-powered prop trading platform. Its own terms call it
an online prediction analytics game and trading simulation platform.
Asked why
the two descriptions differ, the company said they cover separate parts of the
same operation. "The two descriptions refer to different aspects of the
same model," said Alderman.
The game
label, Alderman added, reflects the user experience and the platform's legal
structure, while the prop trading label describes how the company uses player
signals to trade its own money. Users, he continued, do not buy real stocks,
derivatives or any other instruments.
The CMO
said the platform is open to users in the EU and the US, and that it works as a
prediction game rather than a brokerage or managed account.
The
compliance language in the announcement, citing MiFID II, MiCA, DORA and EMIR,
applies to an affiliate, PM MTF Ltd., not to UpsideOnly itself, which is run by
a Perpetuals subsidiary, USO Labs.
The pitch
rests on a promise that users cannot lose.
"If a
trade loses money, the loss is absorbed by the company rather than the
user," Alderman commented for FinanceMagnates.com. Users can place a
refundable deposit to lift their payout eligibility, capped at $500 and, he added,
"held separately in U.S. Treasury Bills by an external fiduciary,"
not used for trading.
FinanceMagnates.com
asked how the trading book is funded to back that promise, given Perpetuals'
roughly $20 million market value and its run of losses.
The company
declined to give figures, saying it does "not comment on specific capital
allocation, treasury management, or exposure limits..." beyond public
disclosures, and that it is "well-positioned to deliver on our mission and
to grow."
Perpetuals
also said the $20 million valuation and the loss history belong to Earlyworks,
the listed shell it absorbed, and "do not reflect the value and financial
forecast of Perpetuals.com Ltd."
It did not
offer alternative figures for the current business.
Prop Firms and Prediction
Markets Are Already Colliding
UpsideOnly
arrives as the line between prop trading and prediction markets blurs.
Others
moved sooner. For Traders launched a prediction-markets prop product in beta,
billed as a first for a prop firm, routing events from Kalshi and other venues
into a challenge format.
A Tokenized Commodities
Deal With a Volatile Partner
Alongside
the user numbers, Perpetuals said it signed a Mutual Services Agreement with
Datavault AI to list tokenized real-world commodity assets, trading on the
EU-licensed PM MTF venue that runs on Perpetuals technology.
The deal
starts with the MTB Copper project and could widen to gold, copper, geothermal
energy, US critical minerals and European iron and nickel resources, with
combined targeted issuance above $328 million, the company said.
Datavault
AI, also Nasdaq-listed, is a thinly valued partner. Its shares recently traded
around $0.42 for a market value near $476 million, and the stock is down about
70% over six months even after the company reported revenue growth of 1,274%
over the trailing twelve months through the first quarter of 2026.
The venture
carries history. Gruhn ran FTX Europe, the arm Sam Bankman-Fried's exchange
bought in 2021 for $323 million, which collapsed alongside the wider group in
2022.
After the
bankruptcy, the FTX estate sued to claw back that money. The dispute ended in
February 2024, when Gruhn and co-founder Robin Matzke bought the European
assets back for $32.7 million with what Alderman called "a full release of
any other known or unknown claims," leaving no clawback outstanding
against them.
What
Perpetuals carried forward is the technology and a trading dataset that
Alderman said spans more than 22 billion retail trades, anonymized and tracing
through FTX to the firm's earlier Digital Assets DA AG business.
"We do
not disclose proprietary details regarding the composition of the
dataset," he said.
Perpetuals
reached the Nasdaq by converting Earlyworks, a Japanese-listed shell, into
Perpetuals.com Ltd in February.
Gruhn has
leaned into the early trading mix as proof of changing retail behavior, saying
users who favored gold over Bitcoin are "behaving like macro
traders."
Whether
that holds, and whether a no-loss prediction game can keep feeding a profitable
trading book, will take more than two weeks of simulated volume to judge.
Damian Chmiel is a Senior Analyst & Editor at Finance Magnates with more than 15 years of experience in the CFD and online trading industry. Active as both a trader and journalist since 2010, he focuses on broker coverage, fintech innovation, and regulatory developments across Europe, the Middle East, and Asia.
His work includes interviews with C-level leaders at major brokerages and fintech platforms, as well as co-authoring Finance Magnates’ quarterly industry benchmarking reports. Damian’s reporting is data-driven, market-aware, and grounded in direct industry engagement. His analysis and commentary have also been cited by external media outlets, including Investing.com, Binance, The Asset, Stockhead, and Dispatch.
Education:
MA in Finance and Accounting, Cracow University of Economics
Rakuten Securities Extends US Stock Trading to 16 Hours With After-Market Session
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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.
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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)
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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
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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
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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