Welcome back to Season 2 of The Hedgineer Podcast, where host Michael Watson talks data, AI, and technology in the hedge fund and asset management space.

In this episode, Michael sits down with Didier Lopes, the founder of OpenBB, for a conversation that started five years ago during the meme stock boom. Michael reached out to Didier in 2021 after he shared his "Gamestonk Terminal" on r/wallstreetbets. Michael reached out to Didier if he was interested in a job on his team at Citadel but Didier had other ideas. That initial LinkedIn message from Michael ended up in the pitch deck that helped Didier raise nearly $9 million for his company and the rest is history.

Didier recounts his journey from being a software engineer who automated his personal investment research to becoming the creator of a massively popular open-source project. The Gamestonk Terminal went viral on WallStreetBets and Hacker News, gaining 4,000 GitHub stars in less than 24 hours by cleverly aggregating the free API tiers from hundreds of different data vendor and has evolved into what OpenBB is today.

Join us as we dive into the evolution of a viral tool into a sophisticated enterprise platform and explore the disruptive forces reshaping the financial data landscape.

In this episode, you will learn about:

• The Origin Story: How a canceled flight during the COVID-19 pandemic led to the creation of the Gamestonk Terminal.
• From CLI to Enterprise: The strategic pivot from a command-line tool for retail investors to a customizable, SDK-first workspace for financial firms (and then possibly back to CLI with agents).
• The Data Vendor's Dilemma: A fascinating discussion on the conflict facing companies like FactSet and Capital IQ, whose UI and terminal businesses are threatened by the rise of AI and direct data access through protocols like MCP (Model Context Protocol).
• The Future of Workflows: Michael explains how he uses AI agents like Claude Code combined with CLI tools to build powerful, autonomous systems for everything from risk management to analyzing entire enterprise data warehouses.
• The Autonomous Firm: A look into a future where AI enables multi-billion dollar asset managers to operate with fewer than ten people.
• The Rise of "Acqui-hires": Why the next wave of M&A might value a team's ability to leverage AI far more than the IP they've built.

This is episode is for anyone at the intersection of finance, data science, and artificial intelligence.

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Welcome back to the Hedgineer Podcast!

We're kicking off Season 2 with one of our favorite guests, Thomas Li, Co-founder and CEO of Daloopa (https://hubs.ly/Q03C7TSR0).

In this episode, we delve into the significant advancements Daloopa has made, including its groundbreaking announcement with Anthropic FIS and its integration into OpenAI. Thomas shares how Daloopa's high-quality, error-free financial data is the key to unlocking the true power of AI for financial analysts. By plugging its verified database into Large Language Models (LLMs), Daloopa is eliminating the critical problem of "hallucination," where AI generates incorrect numbers. This opens up analytical workflows that were previously impossible.

In This Episode, We Discuss:

• Daloopa's core mission: A relentless focus on accuracy (over 99.9%), comprehensiveness, and speed in financial data.
• The "Hallucination Problem": Why LLMs like ChatGPT and Claude often fail at financial analysis by generating wrong numbers from the internet.
• Unlocking New Workflows: How AI with reliable data enables analysts to create deep research reports, summarize 150 earnings calls before the market opens, or run LBO analyses on entire portfolios instantly.
• A Real-World Example: How a PM used the technology to generate a comprehensive report on the impact of tariffs across all reporting companies before the market opened—a task previously considered impossible.
• The Future of Pod Shops: How AI impacts hedge fund strategy by increasing a portfolio manager's "at-bats" and "slugging".
• Behind the Scenes: The story of the Daloopa and Anthropic FIS partnership, rooted in a mutual focus on data quality and solving real customer problems.
• The "Conference Problem": A look into Daloopa's research on creating a true AI agent inside Excel to assist analysts in real-time during management meetings.

About Our Guest: Thomas Li is the Co-founder and CEO of Daloopa. This company has cemented itself as the highest quality data source for company-specific financials and KPIs. Daloopa is trusted by analysts at the world's leading long-short pod shops and multi-manager funds.

Hosted by Michael Watson, The Hedgineer Podcast dives into AI technology and data in the hedge fund, asset management, and prop trading space.

Follow The Hedgineer Podcast:

• YouTube: (https://www.youtube.com/@hedgineer)
• LinkedIn: (https://www.linkedin.com/company/90976838)
• Twitter: (https://x.com/hedgineering)
• Instagram: (https://www.instagram.com/hedgineer/)

Don't forget to like, subscribe, and hit the notification bell to stay updated on our latest episodes!

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Special Announcement: Kicking Off Season 2!

In this season 2 kickoff episode, host Michael Watson welcomes listeners back for the second season of The Hedgineer Podcast, the go-to source for discussions on AI, data, and technology within asset management, hedge fund, and prop trading space.

Get ready for an exciting new season featuring a lineup of entrepreneurs and thought leaders. The season kicks off with a return guest, Thomas Li, the CEO of Daloopa, to discuss the significant changes in the AI and data landscape since his last appearance.

Michael also shares the evolution of Hedgineer from a passion project podcast into a thriving company that builds data platforms for a growing list of clients. He details how Hedgineer is leveraging AI tools, such as Claude Code, to accelerate client onboarding and software development, emphasizing the increasing importance of expertise in the age of AI.

On a personal note, Michael shares the joys of becoming a father, life in New York City with his daughter, and highlights from a recent family trip to Spain's Basque Country and Bordeaux, France. Join us for a season of insightful conversations, technological deep dives, and personal growth.

We are incredibly excited for the new topics, guests, and conversations we have lined up.

Listen to the full special announcement now and get ready for an awesome new season!

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Welcome to Episode 16 of The Hedgineer Podcast! In this episode, host Michael Watson dives deep into the world of technology, data, and AI in the asset management, hedge fund, and proprietary trading space. Joining Michael is Christina Qi, the founder of Databento.

Michael kicks off the episode by introducing Christina and discussing the disruptive impact of Databento on the real-time market data experience within the asset management hedge fund space. Christina shares her extensive background, including nearly a decade of running a hedge fund and the challenges she faced due to poor data quality and high costs.

Christina explains the motivation behind founding Databento, driven by the need for better data solutions tailored for machine learning and AI applications in trading. She emphasizes the importance of having real-time, high-quality data delivered via API, which was previously lacking in the market.

Throughout their conversation, Christina and Michael explore various topics, including the scalability of data vendors, the differences between working in a data vendor versus a traditional financial firm, and the challenges of managing data in the finance industry. They also discuss the evolving landscape of investors, highlighting the rise of prosumer-type data consumers who require more advanced data services than typical retail users.

The episode also delves into the impact of community-driven platforms like Reddit and the importance of genuine content in fostering meaningful discussions. Christina shares her experiences with different online communities and the challenges of maintaining authenticity in a space often dominated by advertisements.

Overall, this episode provides valuable insights into the intersection of technology, data, and AI in the finance industry, showcasing the innovative solutions offered by Databento and the broader trends shaping the future of asset management and trading.

Don't miss this insightful conversation! Like, comment, and subscribe for more episodes of The Hedgineer Podcast.

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Data is maturing at an incredible rate. In turn, the value of data is increasing as new strategies and productization continues to evolve. In episode 15, Eagle Alpha CEO Niall Hurley, discusses the changes and developments in the alternative data space.

Niall highlights emergence of corporates, often times b2b SASS companies, realizing new high margin revenue opportunities by monetizing their data by working with companies like Eagle Alpha to deliver unique insights to their clients. By allowing EA to take on the compliance and economic feasibility testing of bringing new data sets to market, Niall is at the tip of the spear for bringing new insights into the market place faster and helping make better capital allocation decisions.

Historically new data sets are brought to market by an entire entity whose business model is to resell data (Think 1010, Yodlee, etc, or to create new data sets as an aggregator, think Yipit, MScience, etc). It is rare for a corporate to sell direct in a b2c model. It's growing increasingly more challenging to figure out compliance, difficult to find distribution unions, and is not always a significant enough revenue opportunity to justify the resources required to execute.

However, Niall believe change is among us his company is positioned well to act as a market place for the high managing, orthogonal revenue opportunities for corporates to monetize their data.

Additional topics include:

The exploration of new data categories and the continued support for data delivery and go-to-market strategies.

Advancements made by quantitative and multi-strategy funds in utilizing alternative data, and the challenges faced by smaller funds in adopting these data sources

The need for a robust data infrastructure and platform to effectively integrate and analyze alternative data

Is there a need for open-source solutions in risk modeling?.

It’s all here in this incredible episode of the Hedgineer Podcast. Listen here.

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At Hedgineer, we believe data has a voice and we are committed to helping you hear what its saying.

In this episode, former Goldman Lead Engineer, now Hedgineer Managing Director Jhanvi Virani joins us to discuss how hedge funds can deliver alpha to their investors by leveraging the Hedgineer platform. Gone are the days of siloed data and non existent processes.

To thrive as a hedge fund in 2024 and beyond, you need to interact with your data to unlock its true value.Jhanvi explains how her skill set and years of experience at Goldman uniquely position her to solve the most challenging data and analytics problems our customers face. She believes in the power of storytelling, that is has a direct impact on the way your investors evaluate their relationship with your firm.

This is a DO NOT MISS episode. Thanks for joining us.

Key points include:

Interconnectivity between Risk, Research, Trading, Operations, and Investor Relations

Breaking down data silos

Unlocking data

Enabling your data to tell stories

Define and unify processes

Bring your own cloud

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Just about everything in the world of finance is data. It’s only a matter of time that the early adopters and educated users of AI will outrace their competitors to the top.

In Episode 13 of the Hedgineer podcast, host Michael Watson interviews Rob Krzyzanowski, an expert in AI and machine learning with experience at notable firms like Avant, Spring Labs, and Citadel - and also a partner at Hedgineer.

Rob offers his best-in-class view on the value of AI, and specifically, how it translates into platforms that can produce tangible results for hedge funds. We also get a simplified value proposition perspective for large language models, and how they're fundamentally changing the way funds operate.

The conversation also provides a forward-looking view on balancing AI advancements and their application to:

-risk management

-stock classification

-operating efficiencies

-cost reductions

As the team continues it's expansion efforts, Michael wraps the episode with a call for talent. Hedgineer's growth is fueled by world class people. Come join us.

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The hedge fund industry can learn a lot about monetizing data, especially through the lens of CRM - Customer Relationship Management.

In this episode, long-time Salesforce executive Kyle Johnson joins us to discuss how CRM went from a fringe business concept to a core driver of today’s corporate environment. And here’s the key, CRM is really all about data. Names, phone numbers, emails, dates, etc. The genius comes in structuring that information in a format that salespeople can use to drive revenue and improve customer relations overall.

And when it comes to hedge funds, customers are investors.

Kyle explains how hedge funds can apply this CRM analogy directly - taking numbers from behind the scenes, structuring the data, then employing it through a platform that works specifically for the fund’s investor relations.

It’s what CRM did for sales, yet customized for hedge funds.

Key points include:

• automating investor outreach
• using CRM to scale investor relations
• enhancing brand perception and engagement via social media
• developing a customer-centric sales model
• analyzing investor data
• integrating CRM systems
• implementing technology solutions for operational efficiency

The time is now for hedge funds to learn from the sales world. Structure their data. Improve investors relations and set new standards of customer care through technology. Thankfully, Kyle reveals it all in this critically valuable episode.

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