Binary contracts are deceptively simple. You're betting on a yes/no outcome: will BTC be above $70,000 at 4PM EST? Will the S&P close higher than yesterday? The contract pays out a fixed amount if the condition is met, and nothing if it isn't.
But beneath that simplicity lies a rich landscape of pricing inefficiencies; that's where Logicull operates.
How Binary Contracts Work
A binary contract has two possible outcomes. If the condition is met at expiration, the contract settles at $1. If not, it settles at $0. You can buy or sell at any price between $0 and $1 before expiration.
The price of a binary contract is, in theory, the market's implied probability that the event will occur. A contract trading at $65 implies a 65% chance of the condition being met.
Where Inefficiencies Emerge
In practice, markets aren't perfectly efficient; especially on prediction exchanges. Several factors create exploitable pricing gaps:
- Retail sentiment bias — Individual traders overweight recent events and underweight base rates
- Liquidity gaps — Thin order books mean prices can deviate significantly from fair value
- Temporal mispricing — As expiration approaches, contracts that should decay in value sometimes hold price longer than they should
- Cross-market divergence — The same underlying event can be priced differently across timeframes
Why Regulation Matters
Logicull operates exclusively on CFTC-regulated exchanges. This matters for several reasons:
- Transparent order books — All orders are visible, giving us real data to work with
- Guaranteed settlement — No counterparty risk
- Standardized contracts — Consistent rules across all events
- Legal clarity — Operating within established regulatory frameworks
The Algorithmic Edge
Human traders are good at forming opinions. They're less good at consistently pricing risk across hundreds of contracts simultaneously. That's what our models do — continuously scanning for contracts where the market price diverges from our calculated fair value.
When we find one, we act. Fast, sized correctly, and with a clear exit strategy.
In future posts, we'll dive deeper into specific pricing models and how Razorbill evaluates contract opportunities in real time.