Oriol Saguillo - Unravelling the Probabilistic Forest: Arbitrage in Prediction Markets | CyLab

The podcast explores arbitrage opportunities within prediction markets, particularly focusing on PolyMarket. Oriol Saguillo presents research on how discrepancies in price opinions can be exploited for profit, detailing strategies for single, multiple, and in-between market conditions. The analysis of PolyMarket data from April 2024 to April 2025 reveals that sports and politics are dominant market categories, with U.S. elections serving as a catalyst for increased volume. The study identifies instances where arbitrage is possible, estimating that millions in profit have been extracted through these strategies. LLMs are used to find market pairs for arbitrage, identifying conditionally dependent markets. The discussion touches on the unique conditions within these markets, including the potential influence of insiders, and concludes with an invitation for further research in this area.

Outlines

Part 1: Concept, Context, and Social Impact

Part 2: Arbitrage Mechanics and Market Strategies

Part 3: Profit Extraction and Advanced Modeling

Part 4: Research Findings and Q&A

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Oriol Saguillo - Unravelling the Probabilistic Forest: Arbitrage in Prediction Markets

CyLab

Part 1: Concept, Context, and Social Impact

Introduction to Prediction Markets and Their Role in Forecasting Events

Prediction Markets as a Countermeasure to AI-Driven Misinformation

How Prediction Markets Capture Real-Time Information Changes

Part 2: Arbitrage Mechanics and Market Strategies

Arbitrage Opportunities in Prediction Markets: Exploiting Price Discrepancies

Arbitrage Strategies in Multiple Markets: La Liga Example

Data Analysis of Polymarket: Market Features and Category Trends

Part 3: Profit Extraction and Advanced Modeling

Volatility and Arbitrage Opportunities: The Case of the Syrian President

Profit Extraction from Arbitrage Strategies: Single vs. Multiple Conditions

Identifying Conditionally Dependent Markets Using LLMs for Arbitrage

Part 4: Research Findings and Q&A

Summary of Findings and Open Questions in Prediction Market Arbitrage

Q&A: Computing Total Profit, Transaction Fees, and Top Arbitrageurs

Oriol Saguillo - Unravelling the Probabilistic Forest: Arbitrage in Prediction Markets

CyLab

Part 1: Concept, Context, and Social Impact

00:00Introduction to Prediction Markets and Their Role in Forecasting Events

Introduction to Prediction Markets and Their Role in Forecasting Events

00:47Prediction Markets as a Countermeasure to AI-Driven Misinformation

Prediction Markets as a Countermeasure to AI-Driven Misinformation

02:07How Prediction Markets Capture Real-Time Information Changes

How Prediction Markets Capture Real-Time Information Changes

Part 2: Arbitrage Mechanics and Market Strategies

03:30Arbitrage Opportunities in Prediction Markets: Exploiting Price Discrepancies

Arbitrage Opportunities in Prediction Markets: Exploiting Price Discrepancies

04:54Arbitrage Strategies in Multiple Markets: La Liga Example

Arbitrage Strategies in Multiple Markets: La Liga Example

06:06Data Analysis of Polymarket: Market Features and Category Trends

Data Analysis of Polymarket: Market Features and Category Trends

Part 3: Profit Extraction and Advanced Modeling

07:57Volatility and Arbitrage Opportunities: The Case of the Syrian President

Volatility and Arbitrage Opportunities: The Case of the Syrian President

09:53Profit Extraction from Arbitrage Strategies: Single vs. Multiple Conditions

Profit Extraction from Arbitrage Strategies: Single vs. Multiple Conditions

11:20Identifying Conditionally Dependent Markets Using LLMs for Arbitrage

Identifying Conditionally Dependent Markets Using LLMs for Arbitrage

Part 4: Research Findings and Q&A

13:42Summary of Findings and Open Questions in Prediction Market Arbitrage

Summary of Findings and Open Questions in Prediction Market Arbitrage

14:38Q&A: Computing Total Profit, Transaction Fees, and Top Arbitrageurs

Q&A: Computing Total Profit, Transaction Fees, and Top Arbitrageurs