Correlation Risk Limiter

Overview

This pillar analyzes the correlation between a potential new market and your existing portfolio. It helps you manage hidden risks by suggesting smaller position sizes for highly related bets, promoting true diversification.

What It Does

It calculates the historical price correlation between a new market you are considering and all the markets currently in your portfolio. Using this data, it determines your 'effective exposure' to underlying real world factors. If the new market is strongly linked to existing positions, the pillar recommends a reduced position size to prevent over-concentration.

Why It Matters

True diversification is more than just betting on different markets; it's about betting on different underlying outcomes. This pillar prevents a single event from wiping out multiple positions at once, preserving your capital and improving risk-adjusted returns.

How It Works

First, the pillar accesses your current portfolio holdings. When you select a new market, it retrieves the historical price data for both the new market and your existing ones. It then computes a correlation coefficient for the new market against each holding, identifying the strongest link. Based on this maximum correlation, it generates a 'Size Reduction Factor' to guide your position sizing.

Methodology

The analysis uses a 90-day rolling Pearson correlation coefficient to measure the linear relationship between market price histories. The final Size Reduction Factor (SRF) is calculated as SRF = 1 - (max_correlation^2), where max_correlation is the highest coefficient found between the new market and any single asset in the portfolio. This ensures the reduction is more pronounced for very high correlations.

Edge & Advantage

This provides a professional-grade risk management edge, protecting your bankroll from systemic risks that most traders overlook until it is too late.

Key Indicators

• Maximum Correlation Coefficient

  high

  The highest correlation value (from -1 to 1) between the target market and any market in your current portfolio.

• Size Reduction Factor

  high

  A percentage suggesting how much to reduce your standard position size to account for correlation risk.

• Effective Portfolio Exposure

  medium

  An estimate of your portfolio's concentration on a single underlying risk factor after the potential new trade.

Data Sources

• Platform Market History

  Internal historical price data for all prediction markets on the platform.

• Financial Data APIs

  External APIs used to correlate prediction markets with real-world assets like stocks or commodities.

Example Questions This Pillar Answers

• → I am already betting on the price of Bitcoin. How much should I bet on Ethereum reaching a new all-time high?
• → My portfolio is long on several tech stocks. Is adding a bet on the NASDAQ-100 index a good idea?
• → If I have a position on a Republican winning the presidency, how much should I reduce my bet size on a related Senate race?

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