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In this episode, Jeff Malec sits down with Vuk Vukovic and Scott Alford of Oraclum Capital (ORCA) to explore how an academic project on elections turned into a $70M hedge fund powered by crowd predictions. Vuk explains how he and his co-founders, coming from economics, physics, and computer science backgrounds, built a survey-based system that originally nailed events like Brexit and the 2016 and 2020 U.S. elections, then adapted the same framework to financial markets. Scott breaks down how ORCA combines wisdom of crowds, network analysis, and machine learning to identify the best retail predictors each week and turn their aggregated views into directional options trades on the S&P and Nasdaq. They discuss incentives for participants, how they filter noise, why independence and diverse networks matter more than “experts,” the limits of traditional polling, and the rise, and risks, of retail trading and prediction markets. The conversation also touches on political polarization, elite networks, and what it really takes to build a differentiated strategy in today’s markets. SEND IT!
Chapters:
00:00-01:34=Intro
01:35-12:38= Origins of ORCA: From Broken Polls to a Crowd-Powered Market Prediction Engine
12:39-21:01= Why Traditional Polls Fail and How Academic Research (and Grants) Really Work
21:02-35:35= Inside ORCA’s Signal: Paying Predictors, Mapping Networks, and Turning Weekly Surveys into Option Trades
35:36-49:49= Timing the Crowd: Weekly Signals, Zero-Dated Options, and How ORCA Differs from Prediction Markets
49:50-1:01:03= Hot Streaks, Crypto Crowds, and Why True Wisdom of Crowds Needs Independent Thinkers
1:01:04-01:20:36= Retail Traders, Polarization, and Building Better Predictors: How ORCA Sees the Future of Markets
From the Episode:
Youtube: Predict Market Moves by Oraclum https://www.youtube.com/@predictmarketmoves
Youtube: https://www.youtube.com/@vuk_vukovic_author/videos
Personal website: https://www.vukvukovic.org/
Follow along with Vuk , Scott and ORCA on LinkedIn, you can find Vuk on X @wolf_vukovic and ORCA @OraclumCapital as well - be sure to check out oraclumcapital.com for more information!
Don't forget to subscribe toThe Derivative, follow us on Twitter at@rcmAlts andsign-up for our blog digest.
Disclaimer: This podcast is provided for informational purposes only and should not be relied upon as legal, business, or tax advice. All opinions expressed by podcast participants are solely their own opinions and do not necessarily reflect the opinions of RCM Alternatives, their affiliates, or companies featured. Due to industry regulations, participants on this podcast are instructed not to make specific trade recommendations, nor reference past or potential profits. And listeners are reminded that managed futures, commodity trading, and other alternative investments are complex and carry a risk of substantial losses. As such, they are not suitable for all investors. For more information, visitwww.rcmalternatives.com/disclaimer
By RCM Alternatives4.7
4949 ratings
In this episode, Jeff Malec sits down with Vuk Vukovic and Scott Alford of Oraclum Capital (ORCA) to explore how an academic project on elections turned into a $70M hedge fund powered by crowd predictions. Vuk explains how he and his co-founders, coming from economics, physics, and computer science backgrounds, built a survey-based system that originally nailed events like Brexit and the 2016 and 2020 U.S. elections, then adapted the same framework to financial markets. Scott breaks down how ORCA combines wisdom of crowds, network analysis, and machine learning to identify the best retail predictors each week and turn their aggregated views into directional options trades on the S&P and Nasdaq. They discuss incentives for participants, how they filter noise, why independence and diverse networks matter more than “experts,” the limits of traditional polling, and the rise, and risks, of retail trading and prediction markets. The conversation also touches on political polarization, elite networks, and what it really takes to build a differentiated strategy in today’s markets. SEND IT!
Chapters:
00:00-01:34=Intro
01:35-12:38= Origins of ORCA: From Broken Polls to a Crowd-Powered Market Prediction Engine
12:39-21:01= Why Traditional Polls Fail and How Academic Research (and Grants) Really Work
21:02-35:35= Inside ORCA’s Signal: Paying Predictors, Mapping Networks, and Turning Weekly Surveys into Option Trades
35:36-49:49= Timing the Crowd: Weekly Signals, Zero-Dated Options, and How ORCA Differs from Prediction Markets
49:50-1:01:03= Hot Streaks, Crypto Crowds, and Why True Wisdom of Crowds Needs Independent Thinkers
1:01:04-01:20:36= Retail Traders, Polarization, and Building Better Predictors: How ORCA Sees the Future of Markets
From the Episode:
Youtube: Predict Market Moves by Oraclum https://www.youtube.com/@predictmarketmoves
Youtube: https://www.youtube.com/@vuk_vukovic_author/videos
Personal website: https://www.vukvukovic.org/
Follow along with Vuk , Scott and ORCA on LinkedIn, you can find Vuk on X @wolf_vukovic and ORCA @OraclumCapital as well - be sure to check out oraclumcapital.com for more information!
Don't forget to subscribe toThe Derivative, follow us on Twitter at@rcmAlts andsign-up for our blog digest.
Disclaimer: This podcast is provided for informational purposes only and should not be relied upon as legal, business, or tax advice. All opinions expressed by podcast participants are solely their own opinions and do not necessarily reflect the opinions of RCM Alternatives, their affiliates, or companies featured. Due to industry regulations, participants on this podcast are instructed not to make specific trade recommendations, nor reference past or potential profits. And listeners are reminded that managed futures, commodity trading, and other alternative investments are complex and carry a risk of substantial losses. As such, they are not suitable for all investors. For more information, visitwww.rcmalternatives.com/disclaimer

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