Peter Pavlov explains to FinanceMagnates.com that AI is changing markets “at a depth that no human alone can process.”
The new tool currently provides stock-market insights, but the company expects to expand into crypto and FX by Q2 2026.
Peter Pavlov the CEO of Edge Hound
“We're
not just predicting markets, we're decoding their behavior.” That's how
Peter Pavlov, CEO and Co-Founder of Edge Hound, describes his company's new
AI-powered research platform launching into an increasingly crowded field of
automated trading tools.
The Bulgaria-based startup promises to deliver thousands of daily trade ideas backed by
multi-agent AI architecture. But Pavlov insists the real value isn't the
volume, it's the clarity.
As
brokerages from Interactive Brokers to regional players rush to integrate AI
features, Edge Hound is betting that retail and institutional investors alike
are hungry for something different: AI that explains the “why” behind
every signal.
Edge Hound's Approach: Trade
Ideas Come With Explanations, Not Just Signals
Edge Hound
says its AI does more than just spit out trading signals. The platform
processes thousands of news sources, crowd trends, social media, filings, and
macroeconomic events to deliver over 2,500 actionable trade ideas every day. By
the end of 2025, it aims to bump that number up to 10,000, with broader global
coverage including ETFs and markets across Europe and Asia.
“To be
candid, we haven't seen any publicly available tool that operates the way Edge
Hound does,” said Peter Pavlov, CEO and Co-Founder, in an interview with FinanceMagnates.com.
“Many
platforms claim to use advanced NLP or sentiment analysis, but in practice they
tend to be information-heavy, noise-dense dashboards rather than systems that
deliver actionable, decision-ready insights,” he highlighted.
Key
features include a chat-driven investing interface, positioned as a
“co-pilot” for research and stock discovery. “Buzz Talk”
scans news and social conversations for hot topics and drivers behind price
swings, while near real-time sentiment analysis reveals extremes in optimism or
pessimism. Multi-agent AI architecture weighs the judgments of multiple
“virtual analysts,” with a Collective Oracle to reconcile opinions
and surface the most compelling conclusions.
Source: Edge Hound
Discovery
Bot connects the dots between macro events, sector shifts, and specific trade
signals. The system's theoretical cumulative return across all AI-generated
ideas topped 1,200% in September, though Edge Hound cautions that actual
results depend on individual usage, capital, and trading costs.
AI Competition Picks Up
Momentum Across Brokers
Peter
launched Edge Hound together with his brother Miroslav, who serves as CBO. And
while they told FinanceMagnates.com that they had not seen similar solutions
until now, the market is beginning to fill up with AI-powered trading tools.
For example, Interactive Brokers only recently
integrated a knowledge graph-driven tool within its platform, letting users
spot thematic investment ideas and broader trends without wading through
mountains of data.
The tool links market relationships, products, and
competitors and now covers every S&P 1500 company, simplifying research for
hundreds of thousands of traders worldwide.
The Pavlov
brothers draw on years of experience in applied mathematics, computer science,
and hands-on trading.
“I
personally lectured in computer science at the university level for eight
years,” Pavlov said. “My business partner also has a strong
mathematics foundation and is a computer science engineer with significant
industry experience.” The team includes Dr. Dimitar Dobchev, an associate
professor in nuclear physics, and Dr. Georgi Simeonov, an associate professor
with a PhD in mathematics and AI engineering.
Pavlov
emphasized that technical skill alone doesn't guarantee a viable product.
“The equilibrium comes from combining this technical excellence with real
investing and trading experience,” he said.
“Both
my partner and I have been active in the markets for years, and that commercial
awareness ensures we're not just building advanced technology, we're building
the right product for real decision-makers,” he emphasized.
The
founders stress that users should approach the platform with clear eyes.
“AI is a tool, not a holy grail, and when your own capital is at stake,
you have a responsibility to understand the decisions you're making,”
Pavlov said.
Edge Hound
is preparing video tutorials, walkthroughs, and best-practice guides after
early testing with roughly 2,000 users revealed that many still struggle to
extract the platform's full value.
Source: Edge Hound
“We've
already done the heavy lifting – aggregating, analyzing, and distilling vast
amounts of information into a clean, digestible one-page summary for every
stock – updated daily,” Pavlov explained. “What we're ultimately
selling is time saved, but users still need to invest a bit of time to read,
understand, and make informed decisions.”
Retail Focus, But
Institutional Demand Emerging
Edge Hound
remains bootstrapped to around $1.5 million, with plans to push for
profitability by mid-2027. The company is focusing first on retail users, where
rapid scaling is more feasible.
Still, the
founders believe institutional partnerships will become “a major pillar of
the business, both in revenue and strategic importance.” When
institutional clients are open to having their use cases adapted into
retail-facing features, it upgrades the platform for all users, Pavlov noted.
Looking
forward, Edge Hound expects to expand into crypto and Forex markets by the
second quarter of 2026, with options analytics, prediction markets, and broker
integrations on the roadmap.
As for
whether AI will fundamentally reshape investing, Pavlov is unequivocal.
“Absolutely, AI will fundamentally reshape the industry,” he said.
“But the transformation won't come from generic sentiment tools or shallow
automation. It will come from systems capable of analyzing businesses, markets,
dependencies, and risk at a depth that no human alone can process.”
“That's
exactly what we are building,” he concluded.
“We're
not just predicting markets, we're decoding their behavior.” That's how
Peter Pavlov, CEO and Co-Founder of Edge Hound, describes his company's new
AI-powered research platform launching into an increasingly crowded field of
automated trading tools.
The Bulgaria-based startup promises to deliver thousands of daily trade ideas backed by
multi-agent AI architecture. But Pavlov insists the real value isn't the
volume, it's the clarity.
As
brokerages from Interactive Brokers to regional players rush to integrate AI
features, Edge Hound is betting that retail and institutional investors alike
are hungry for something different: AI that explains the “why” behind
every signal.
Edge Hound's Approach: Trade
Ideas Come With Explanations, Not Just Signals
Edge Hound
says its AI does more than just spit out trading signals. The platform
processes thousands of news sources, crowd trends, social media, filings, and
macroeconomic events to deliver over 2,500 actionable trade ideas every day. By
the end of 2025, it aims to bump that number up to 10,000, with broader global
coverage including ETFs and markets across Europe and Asia.
“To be
candid, we haven't seen any publicly available tool that operates the way Edge
Hound does,” said Peter Pavlov, CEO and Co-Founder, in an interview with FinanceMagnates.com.
“Many
platforms claim to use advanced NLP or sentiment analysis, but in practice they
tend to be information-heavy, noise-dense dashboards rather than systems that
deliver actionable, decision-ready insights,” he highlighted.
Key
features include a chat-driven investing interface, positioned as a
“co-pilot” for research and stock discovery. “Buzz Talk”
scans news and social conversations for hot topics and drivers behind price
swings, while near real-time sentiment analysis reveals extremes in optimism or
pessimism. Multi-agent AI architecture weighs the judgments of multiple
“virtual analysts,” with a Collective Oracle to reconcile opinions
and surface the most compelling conclusions.
Source: Edge Hound
Discovery
Bot connects the dots between macro events, sector shifts, and specific trade
signals. The system's theoretical cumulative return across all AI-generated
ideas topped 1,200% in September, though Edge Hound cautions that actual
results depend on individual usage, capital, and trading costs.
AI Competition Picks Up
Momentum Across Brokers
Peter
launched Edge Hound together with his brother Miroslav, who serves as CBO. And
while they told FinanceMagnates.com that they had not seen similar solutions
until now, the market is beginning to fill up with AI-powered trading tools.
For example, Interactive Brokers only recently
integrated a knowledge graph-driven tool within its platform, letting users
spot thematic investment ideas and broader trends without wading through
mountains of data.
The tool links market relationships, products, and
competitors and now covers every S&P 1500 company, simplifying research for
hundreds of thousands of traders worldwide.
The Pavlov
brothers draw on years of experience in applied mathematics, computer science,
and hands-on trading.
“I
personally lectured in computer science at the university level for eight
years,” Pavlov said. “My business partner also has a strong
mathematics foundation and is a computer science engineer with significant
industry experience.” The team includes Dr. Dimitar Dobchev, an associate
professor in nuclear physics, and Dr. Georgi Simeonov, an associate professor
with a PhD in mathematics and AI engineering.
Pavlov
emphasized that technical skill alone doesn't guarantee a viable product.
“The equilibrium comes from combining this technical excellence with real
investing and trading experience,” he said.
“Both
my partner and I have been active in the markets for years, and that commercial
awareness ensures we're not just building advanced technology, we're building
the right product for real decision-makers,” he emphasized.
The
founders stress that users should approach the platform with clear eyes.
“AI is a tool, not a holy grail, and when your own capital is at stake,
you have a responsibility to understand the decisions you're making,”
Pavlov said.
Edge Hound
is preparing video tutorials, walkthroughs, and best-practice guides after
early testing with roughly 2,000 users revealed that many still struggle to
extract the platform's full value.
Source: Edge Hound
“We've
already done the heavy lifting – aggregating, analyzing, and distilling vast
amounts of information into a clean, digestible one-page summary for every
stock – updated daily,” Pavlov explained. “What we're ultimately
selling is time saved, but users still need to invest a bit of time to read,
understand, and make informed decisions.”
Retail Focus, But
Institutional Demand Emerging
Edge Hound
remains bootstrapped to around $1.5 million, with plans to push for
profitability by mid-2027. The company is focusing first on retail users, where
rapid scaling is more feasible.
Still, the
founders believe institutional partnerships will become “a major pillar of
the business, both in revenue and strategic importance.” When
institutional clients are open to having their use cases adapted into
retail-facing features, it upgrades the platform for all users, Pavlov noted.
Looking
forward, Edge Hound expects to expand into crypto and Forex markets by the
second quarter of 2026, with options analytics, prediction markets, and broker
integrations on the roadmap.
As for
whether AI will fundamentally reshape investing, Pavlov is unequivocal.
“Absolutely, AI will fundamentally reshape the industry,” he said.
“But the transformation won't come from generic sentiment tools or shallow
automation. It will come from systems capable of analyzing businesses, markets,
dependencies, and risk at a depth that no human alone can process.”
“That's
exactly what we are building,” he concluded.
Damian's adventure with financial markets began at the Cracow University of Economics, where he obtained his MA in finance and accounting. Starting from the retail trader perspective, he collaborated with brokerage houses and financial portals in Poland as an independent editor and content manager. His adventure with Finance Magnates began in 2016, where he is working as a business intelligence analyst.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Executive Interview | Jas Shah | FMLS:25
Executive Interview | Jas Shah | FMLS:25
Executive Interview | Jas Shah | FMLS:25
Executive Interview | Jas Shah | FMLS:25
Executive Interview | Jas Shah | FMLS:25
Executive Interview | Jas Shah | FMLS:25
Interview with Jas Shah
Builder | Adviser | Fintech Writer | Product Strategist
In this episode, Jonathan Fine sat down with Jas Shah, one of the most thoughtful voices in global fintech. Known for his work across advisory, product, stablecoins, and his widely read writing, Jas brings a rare combination of industry insight and plain-spoken clarity.
We talk about his first impression of the Summit, the projects that keep him busy today, and how they connect to the stablecoin panel he joined. Jas shares his view on the link between fintech, wealthtech and retail brokers, especially as firms like Revolut, eToro and Trading212 blur long-standing lines in the market.
We also explore what stablecoin adoption might look like for retail investment platforms, including a few product and UX angles that are not obvious at first glance.
To close, Jas explains how he thinks about writing, and how he approaches “shipping” pieces that spark debate across the industry.
Interview with Jas Shah
Builder | Adviser | Fintech Writer | Product Strategist
In this episode, Jonathan Fine sat down with Jas Shah, one of the most thoughtful voices in global fintech. Known for his work across advisory, product, stablecoins, and his widely read writing, Jas brings a rare combination of industry insight and plain-spoken clarity.
We talk about his first impression of the Summit, the projects that keep him busy today, and how they connect to the stablecoin panel he joined. Jas shares his view on the link between fintech, wealthtech and retail brokers, especially as firms like Revolut, eToro and Trading212 blur long-standing lines in the market.
We also explore what stablecoin adoption might look like for retail investment platforms, including a few product and UX angles that are not obvious at first glance.
To close, Jas explains how he thinks about writing, and how he approaches “shipping” pieces that spark debate across the industry.
Interview with Jas Shah
Builder | Adviser | Fintech Writer | Product Strategist
In this episode, Jonathan Fine sat down with Jas Shah, one of the most thoughtful voices in global fintech. Known for his work across advisory, product, stablecoins, and his widely read writing, Jas brings a rare combination of industry insight and plain-spoken clarity.
We talk about his first impression of the Summit, the projects that keep him busy today, and how they connect to the stablecoin panel he joined. Jas shares his view on the link between fintech, wealthtech and retail brokers, especially as firms like Revolut, eToro and Trading212 blur long-standing lines in the market.
We also explore what stablecoin adoption might look like for retail investment platforms, including a few product and UX angles that are not obvious at first glance.
To close, Jas explains how he thinks about writing, and how he approaches “shipping” pieces that spark debate across the industry.
Interview with Jas Shah
Builder | Adviser | Fintech Writer | Product Strategist
In this episode, Jonathan Fine sat down with Jas Shah, one of the most thoughtful voices in global fintech. Known for his work across advisory, product, stablecoins, and his widely read writing, Jas brings a rare combination of industry insight and plain-spoken clarity.
We talk about his first impression of the Summit, the projects that keep him busy today, and how they connect to the stablecoin panel he joined. Jas shares his view on the link between fintech, wealthtech and retail brokers, especially as firms like Revolut, eToro and Trading212 blur long-standing lines in the market.
We also explore what stablecoin adoption might look like for retail investment platforms, including a few product and UX angles that are not obvious at first glance.
To close, Jas explains how he thinks about writing, and how he approaches “shipping” pieces that spark debate across the industry.
Interview with Jas Shah
Builder | Adviser | Fintech Writer | Product Strategist
In this episode, Jonathan Fine sat down with Jas Shah, one of the most thoughtful voices in global fintech. Known for his work across advisory, product, stablecoins, and his widely read writing, Jas brings a rare combination of industry insight and plain-spoken clarity.
We talk about his first impression of the Summit, the projects that keep him busy today, and how they connect to the stablecoin panel he joined. Jas shares his view on the link between fintech, wealthtech and retail brokers, especially as firms like Revolut, eToro and Trading212 blur long-standing lines in the market.
We also explore what stablecoin adoption might look like for retail investment platforms, including a few product and UX angles that are not obvious at first glance.
To close, Jas explains how he thinks about writing, and how he approaches “shipping” pieces that spark debate across the industry.
Interview with Jas Shah
Builder | Adviser | Fintech Writer | Product Strategist
In this episode, Jonathan Fine sat down with Jas Shah, one of the most thoughtful voices in global fintech. Known for his work across advisory, product, stablecoins, and his widely read writing, Jas brings a rare combination of industry insight and plain-spoken clarity.
We talk about his first impression of the Summit, the projects that keep him busy today, and how they connect to the stablecoin panel he joined. Jas shares his view on the link between fintech, wealthtech and retail brokers, especially as firms like Revolut, eToro and Trading212 blur long-standing lines in the market.
We also explore what stablecoin adoption might look like for retail investment platforms, including a few product and UX angles that are not obvious at first glance.
To close, Jas explains how he thinks about writing, and how he approaches “shipping” pieces that spark debate across the industry.
