Gain your edge in financial markets
How to overcome blind spots in financial markets
Financial institutions, hedge funds, and sophisticated traders constantly seek an edge by incorporating new data sources into their models. Traditional financial data (stock prices, volumes, etc.) is widely available but fails to capture the market's collective expectation about real-world events that can drastically impact asset prices, such as election outcomes, regulatory decisions, or geopolitical events. This data gap creates significant blind spots, making it difficult to accurately price event-driven risk and capitalize on new opportunities.
Key challenges
Difficulty in systematically quantifying the market's subjective probabilities of future events
Inability to build and backtest trading strategies based on real-world event outcomes
High costs and technical complexity associated with integrating with multiple, fragmented prediction market platforms
Missing a key source of alpha by failing to incorporate crowd-sourced wisdom into financial models
Enhance Risk Management
- Hedge portfolios against specific event risks using market-implied probabilities.
- Use the data to reassess strategies and allocate resources more effectively based on real-time sentiment.
Generate Alpha & Discover Signals
- Develop novel trading algorithms using prediction market data as a leading indicator.
Create Data-Driven Research
- Enrich research reports with unique, quantifiable insights on market-moving events.
- Validate or challenge prevailing market narratives to provide clients with a powerful, data-backed perspective.
Backtest Strategies Comprehensively
- Utilize deep historical data to rigorously test event-driven trading models before deployment.
- Research market microstructure across exchanges to uncover more robust, cross-validated strategies that perform well in different environments.