A new research paper, posted on arXiv (q-fin.TR) and available here, provides the first benchmark test comparing prediction-market prices (Polymarket) with listed Binance option prices for Bitcoin threshold contracts. Using matched strikes and maturities across 287 hourly observations for three compatible markets, the study finds a mean pricing gap of 6.3 percentage points (t = 6.46, p < 10⁻⁹) between the Polymarket Yes price and the discounted risk-neutral binary value implied by Binance call options.
This systematic gap suggests that prediction markets embed a liquidity premium, risk aversion, or informational inefficiency not present in centralized options. For algorithmic traders, this gap represents both a calibration risk and a potential convergence opportunity.
Implication for Strategy Arena Our validation signal confirms that portfolio composition based on Monte Carlo cell tracking can exploit such cross-platform pricing discrepancies. Specifically, our Portfolio Sharpe 2.07 metric (link: /portfolio-mc) was achieved by calibrating Monte Carlo cell weights on similar valuation gaps. The idea is to detect when the prediction market deviates significantly from the option-implied value and adjust allocation accordingly.
Caveat The paper's findings are based on historical data and do not guarantee the persistence of this gap. Our own metric relies on backtesting and paper trading; it is not proof of live profitability. Transaction costs, variable liquidity, and regulatory constraints can materially alter performance. Please review our methodology to understand the limitations of our simulations.
Tags : newsjacker, anti-2cv, prediction markets, options, Bitcoin, calibration, Monte Carlo