Crude Oil WTI-Brent Spread

Futures account gives best execution and lowest costs. However, you can use ETFs (USO for WTI, BNO for Brent) in a regular stock account. ETF approach has contango drag over time and is less precise, but accessible for smaller accounts.

For futures: Spread margin is often $3,000-5,000 per spread (lower than sum of outrights). Recommend $25,000+ for proper position sizing. For ETFs: Can start smaller, but still need enough to short one ETF while long the other.

The spread widens (Brent premium grows) when: Cushing inventory rises, US production surges, OPEC cuts production. It narrows when: US export capacity increases, Cushing draws down, international supply disrupted. Both regional and global factors matter.

Mean reversion trades typically last 1-4 weeks. The half-life (time to revert halfway) for WTI-Brent is usually 10-30 days. Fundamental trades can last weeks to months. Short-term correlation breakdown trades might be 1-5 days.

Yes, significantly. Spread trading is hedged against overall oil direction - if oil rises or falls sharply, your long and short legs largely offset. Your risk is the spread movement, which is typically much smaller than outright price moves.

Z = (Current Spread - Mean Spread) / Standard Deviation. Use 60-252 day lookback. Example: If mean is -$5.50, SD is $2.00, and current spread is -$9.50, then Z = (-9.50 - (-5.50)) / 2.00 = -2.0. The spread is 2 SDs below mean.

Rising Cushing = Bearish WTI = Spread widens (more negative). If you're long spread (long WTI, short Brent), rising Cushing hurts your position. Monitor weekly EIA data for Cushing levels - it's the key WTI-specific driver.

Use spread orders if your broker offers them - they execute both legs simultaneously at a specified spread level. If not available, execute both legs simultaneously with market orders. Avoid legging in (one then other) as it exposes you to directional risk.

Roll both legs together before expiration (usually 1-2 weeks prior). Don't let legs get out of sync on different months. Consider roll costs (contango adds to cost). Keep track of your calendar to avoid surprise expirations.

Futures: More precise, lower costs long-term, better margin efficiency, requires futures account. ETFs: More accessible, no futures account needed, but contango drag erodes value, harder to short, less precise tracking. Use futures for serious spread trading.

A Kalman filter dynamically estimates the spread's mean and variance, adapting to regime changes. Implement in Python using pykalman or write custom state-space model. Key: Define state (spread level, mean), observation (actual spread), and noise parameters. It provides smoother signals than fixed lookback.

When spread is wide (Brent at large premium), traders buy physical WTI in US, ship via tanker to international market, sell at Brent-linked prices. This profit opportunity drives flow that narrows the spread. Shipping costs and time create the arbitrage bounds.

Use continuous contract data for both CL and BZ. Calculate spread series. Include: commissions both legs, slippage (especially for spread), roll costs at each expiration. Use walk-forward optimization to avoid overfit. Test across multiple regimes (2011-2014 wide spread, 2015+ normalized).

Yes, institutions often do this. Example: Bullish oil overall + Bullish WTI vs Brent = Larger WTI position than Brent short. Or use spread as base position, overlay with directional options. Complex risk management required - track net delta exposure.

COVID demand collapse combined with Cushing near-full storage capacity created a crisis for WTI. Brent, being internationally traded with more storage options, didn't face same physical constraint. WTI front month went negative while Brent stayed positive - the correlation broke temporarily.