Executing Crypto Options Arbitrage — Detection to Expiry

Executive Summary

Cross-venue crypto options arbitrage across ClickOptions, Deribit, OKX, Bybit, Binance, and Coincall is far more than a simple price comparison. A successful trade requires a complete workflow that starts with signal detection and ends with expiry convergence. Between those two points lie fee-adjusted opportunity validation, dual-leg execution, sell-side margin management, and ongoing risk monitoring.

OptionsLab and ArbHunter are designed around this full lifecycle. Understanding how each stage works helps explain why an attractive opportunity on screen does not always translate directly into realized profit.

Signal Detection from the Arbitrage Channel

Every arbitrage opportunity begins with a signal from the official Telegram arbitrage channel. Each message contains the option instrument, including the underlying asset, strike price, option type, and expiry, along with the buy-venue price and the corresponding sell-venue bid.

A typical signal might indicate that a trader can purchase an option on one venue while simultaneously selling the same economic exposure on another — for example, ClickOptions versus Deribit, OKX, or Bybit.

Once received, the signal parser normalizes instrument formats and extracts the relevant pricing information. From there, the system calculates the basic arbitrage metrics used throughout the platform.

The simplest measure is the absolute arbitrage gap

Arb Gap = Sell Venue Bid - Buy Venue Ask

To compare opportunities across contracts with different premiums, the percentage gap is also tracked:

Arb Gap % = ((Sell Venue Bid - Buy Venue Ask) / Buy Venue Ask) x 100

Signals are then stored in the signal_logs database and processed into the active instrument universe monitored by Option Screener. Additional metrics such as implied volatility (IV), delta, annualized return (ARR), and historical performance data are attached where available.

When Is a Gap "Real"?

A positive arbitrage gap is necessary, but it is not sufficient.

Many apparent opportunities fail once real-world trading conditions are considered. Before a signal can qualify for execution, it must pass a series of economic and operational checks.

One of the most important metrics is Annualized Return (ARR), which helps compare opportunities across different expiries.

ARR = (Expected Profit / Capital Required) x (365 / Days to Expiry)

Short-dated opportunities must generate sufficient annualized return to justify execution risk and capital usage. Deep out-of-the-money options are also treated cautiously, as large percentage gaps can often reflect poor liquidity rather than genuine opportunities.

The system additionally accounts for exchange fees, venue connectivity, available margin, and time remaining until expiry. As options approach expiration, spreads often tighten and arbitrage opportunities compress, making execution less attractive.

For this reason, Option Screener ranks opportunities not only by raw arbitrage gap but also by metrics such as ARR and expected value. The goal is to surface opportunities that remain economically attractive after practical trading considerations have been taken into account.

The Execution Workflow

Once an opportunity passes all filters, execution begins.

The first leg involves purchasing the option on the buy venue. After the buy order is filled, the second leg is submitted on the sell venue to establish the corresponding short option position.

This process creates a hedged position, but execution risk still exists. If one order fills while the other is delayed, rejected, or only partially completed, the trader can become exposed to market movements.

To manage this risk, execution systems continuously monitor order status. Partial fills trigger recovery workflows, and unresolved orders are tracked and escalated when necessary.

Capital allocation is also enforced throughout the process. ArbHunter clients can configure maximum margin utilization levels and other risk limits. Trades that would exceed these thresholds are skipped automatically.

Routing decisions are based on the venue identified in the original signal. In the current implementation, execution follows the venue selected by the signal source rather than dynamically searching for alternative venues during execution.

Sell-Side Margin Risk

Although arbitrage positions are designed to be market neutral, the short option leg introduces margin risk that must be actively monitored.

When a short option is opened, the exchange requires collateral in the form of Initial Margin (IM). As market conditions change, Maintenance Margin (MM) requirements and overall margin utilization can change as well.

One of the most commonly monitored metrics is

IM Ratio = Initial Margin Used / Account Equity

As this ratio increases, the account becomes more sensitive to adverse market movements.

A trader may hold a perfectly offsetting long option on the buy venue, but the exchange managing the short position evaluates risk only within that account. If margin utilization rises too far, liquidation risk can emerge even though the overall arbitrage structure remains profitable.

For this reason, successful arbitrage trading requires continuous monitoring of IM and MM ratios, unrealized profit and loss, account equity, and time remaining until expiry.

This becomes particularly important near expiration, when option gamma increases and positions become more sensitive to changes in the underlying asset price.

Expiry Realization: When the Gap Closes

The arbitrage edge is ultimately realized through convergence.

At expiry, two options with the same underlying asset, strike price, and expiry date must settle to the same intrinsic value. The premium difference that existed when the trade was opened gradually disappears as settlement approaches.

Prior to expiry, mark-to-market fluctuations can cause temporary changes in profitability. Implied volatility may rise or fall, liquidity conditions may change, and market sentiment can affect quoted prices on individual venues.

However, if both positions remain in place until settlement, identical contracts converge to the same payoff.

This convergence is the mechanism through which the original arbitrage opportunity is captured.

Automated Execution with ArbHunter

ArbHunter is designed to automate the execution and monitoring process.

Clients connect exchange API keys with trading permissions, select a risk profile, and subscribe to opportunities that pass the execution filter pipeline.

From there, the workflow follows a structured sequence

Connect APIs -> Select Risk Profile -> Opportunity Detection -> Execution -> Monitoring

Once positions are active, traders receive notifications for fills, margin warnings, and account activity through Telegram and the client dashboard.

Key Metrics to Track

Several metrics provide insight into both market conditions and execution quality.

Daily signal volume helps measure how many opportunities are being generated by the arbitrage signal channel. The 30-day rolling average arbitrage gap provides a useful indicator of market efficiency, while fill rates reveal how effectively opportunities are being converted into executed trades.

Margin alerts, execution statistics, and venue-level activity can also provide early warning signs when market conditions begin to change.

Together, these metrics help traders distinguish between theoretical opportunities and executable opportunities, which is ultimately what determines long-term performance.

The key lesson is simple: finding an arbitrage gap is only the first step. Realized returns depend on the entire process, from signal detection and validation to execution, risk management, and expiry convergence.