Normal investors will now be able to utilize the same big data tools as hedge funds and large asset managers.
Bloomberg
RavenPack, has unveiled its new offering for investors, focusing on trading signals derived from Big Data. The new service harnesses big data technology from a wide spectrum of mediums, including web, news, social media, regulatory filings, and others.
The new offering caters to investors of all calibers with such capabilities previously only utilized by quantitative hedge fund and asset managers. With RavenPack’s latest launch however, traditional investors will be able to utilize the same tools, garnering the same sort of access to big data as the industry’s leaders.
Armando Gonzalez, CEO of RavenPack, commented: “The ability to build custom signals on the RavenPack platform is a game-changer for discretionary and fundamental investors who value logic and facts. Until now, our core tools and techniques have only been available to the largest quantitative hedge funds and investment banks. Creating signals from big data sources is now simple and intuitive - and accessible for most financial professionals.”
The launch is important as it relies on RavenPack’s big data technology without the need to rely on data scientists or others. The ability to cultivate and process thousands of data sets in real time was previously an attribute available to mainly hedge funds. By utilizing RavenPack’s new offering, the process is greatly simplified and streamlined, quickly disseminating social media and news outlets.
Armando Gonzalez
Investor reliance on big data is one of the most key trends in 2017 as financial venues, asset managers, and private investors alike are all looking to gain access to sentiment indicators and data set processing. Today’s launch helps cater to this demand, aiming to help interpret business and macroeconomic trends as well as improving trading performance.
In particular, RavenPack’s new big data offering will allow discretionary and fundamental investors a range of new utilities. This includes the construction of trading signals via a simplified user interface while also allowing investors to easily utilize plug big data into more traditional strategies.
Additionally, the new offering features capabilities that help identify market trends and patterns visually by charting sentiment indicators improved pricing data. Users can also download signals into traditional tools used by analysts and traders including Excel, R, Python, and Matlab.
RavenPack, has unveiled its new offering for investors, focusing on trading signals derived from Big Data. The new service harnesses big data technology from a wide spectrum of mediums, including web, news, social media, regulatory filings, and others.
The new offering caters to investors of all calibers with such capabilities previously only utilized by quantitative hedge fund and asset managers. With RavenPack’s latest launch however, traditional investors will be able to utilize the same tools, garnering the same sort of access to big data as the industry’s leaders.
Armando Gonzalez, CEO of RavenPack, commented: “The ability to build custom signals on the RavenPack platform is a game-changer for discretionary and fundamental investors who value logic and facts. Until now, our core tools and techniques have only been available to the largest quantitative hedge funds and investment banks. Creating signals from big data sources is now simple and intuitive - and accessible for most financial professionals.”
The launch is important as it relies on RavenPack’s big data technology without the need to rely on data scientists or others. The ability to cultivate and process thousands of data sets in real time was previously an attribute available to mainly hedge funds. By utilizing RavenPack’s new offering, the process is greatly simplified and streamlined, quickly disseminating social media and news outlets.
Armando Gonzalez
Investor reliance on big data is one of the most key trends in 2017 as financial venues, asset managers, and private investors alike are all looking to gain access to sentiment indicators and data set processing. Today’s launch helps cater to this demand, aiming to help interpret business and macroeconomic trends as well as improving trading performance.
In particular, RavenPack’s new big data offering will allow discretionary and fundamental investors a range of new utilities. This includes the construction of trading signals via a simplified user interface while also allowing investors to easily utilize plug big data into more traditional strategies.
Additionally, the new offering features capabilities that help identify market trends and patterns visually by charting sentiment indicators improved pricing data. Users can also download signals into traditional tools used by analysts and traders including Excel, R, Python, and Matlab.
Visa Brings Stablecoins to Main Street Banking With U.S. Rollout
Executive Interview | Charlotte Bullock | Chief Product Officer, Bank of London | FMLS:25
Executive Interview | Charlotte Bullock | Chief Product Officer, Bank of London | FMLS:25
In this interview, we sat down with Charlotte Bullock, Head of Product at The Bank of London, previously at SAP and now shaping product at one of the sector’s most ambitious new banking players.
Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
In this interview, we sat down with Charlotte Bullock, Head of Product at The Bank of London, previously at SAP and now shaping product at one of the sector’s most ambitious new banking players.
Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
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
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.
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
