Brent-WTI Spread

Spread trading offers market-neutral exposure - you profit from the relationship between the two oils, not from guessing oil's direction. This can be advantageous when you have insight into relative factors (US vs global dynamics) but are uncertain about overall oil direction. It also typically has lower volatility than directional positions since you're hedged against broad market moves.

You need margin for BOTH positions. With ASIC's 10:1 leverage limit, a 100-barrel spread position requires margin for 100 Brent AND 100 WTI. For a $50,000 account with 1% risk per trade and typical spreads, you might trade 100-200 barrels per leg. Spread trading generally requires more capital than single-leg directional trading.

Ideally, the notional value (dollar exposure) should be equal, not necessarily the unit count. Since Brent and WTI trade at different prices, equal notional requires slightly different quantities. For beginners using CFDs at similar prices, 1:1 ratio is acceptable. For advanced traders, matching notional more precisely reduces basis risk.

If both Brent and WTI crash by the same amount, your spread position is roughly unchanged (losses on one leg offset by gains on other). If one crashes more than the other (spread changes), you profit or lose based on your spread direction. Spread trading doesn't protect you from spread moves, only from parallel moves in both oils.

On TradingView, type 'UKOIL-USOIL' or 'BRENT-WTI' to create a spread chart. This shows the spread as a single line, making it easy to identify historical range, current level, and extremes. You can add indicators like moving averages and Bollinger Bands to the spread chart for analysis.

Ask: (1) Is there a clear fundamental reason for the shift (new policy, structural change)? (2) Has the spread stayed at the new level for an extended period (weeks/months)? (3) Have historical relationships broken down? Dislocations are temporary (event-driven, quickly reverting). Regime shifts are permanent structural changes. If in doubt, start smaller and see if mean reversion occurs.

If the spread moves in your favor, you can scale out (take partial profits). If prices move significantly but spread is unchanged, you may want to rebalance to maintain equal notional exposure (notional drift from initial balance). Rebalancing threshold of 10% is reasonable - check weekly for long-term positions.

For CFD spreads, you pay financing on the long leg and receive (partial) financing on the short leg. The net is usually a small cost, but it accumulates over weeks. For a 2-week position, this might be 0.1-0.2% of position value. Factor this into expected profit, especially for small spread moves.

20-60 days is typical for Brent-WTI. Shorter (20 days) is more responsive but may give false signals if recent period was unusual. Longer (60 days) is more stable but may include outdated data. Many traders use 30 days as default. You can test different periods on historical data to optimize for your strategy.

Yes, options on oil futures exist. You could construct a spread position using options (e.g., long Brent call + short WTI call). This adds complexity (managing Greeks, expiry, strikes) but can provide defined risk. For most traders, futures/CFDs are simpler. Options on spread positions are advanced territory.

Use the Augmented Dickey-Fuller (ADF) test on the spread series (Brent - WTI). If the p-value is < 0.05, the spread is stationary (mean-reverting), indicating cointegration. Alternatively, use the Engle-Granger or Johansen test. In Python, statsmodels.tsa.stattools.adfuller() performs the ADF test. Run periodically to confirm relationship still holds.

Calculate using AR(1) regression: regress spread change on lagged spread level. Half-life = -ln(2) / β where β is the coefficient. For Brent-WTI, typical half-life is 5-15 days depending on conditions. Use this for time stops (e.g., exit if no reversion after 1.5-2× half-life) and expected hold time planning.

For retail trading: simultaneous market orders on both legs, executed within seconds. For larger institutional sizes: ratio execution (execute legs in proportion to maintain ratio throughout fill), or algorithmic execution that monitors both markets and executes when spread is at target level. Some platforms (CQG, TT) offer native spread order types.

Allocate based on correlation with other strategies and risk contribution. Brent-WTI spread typically has low correlation with directional equity/bond positions. In a risk-parity framework, weight by inverse volatility. Maximum allocation might be 20-30% of trading capital. Track performance attribution separately to evaluate strategy contribution.

Watch for: (1) Correlation dropping below 0.90, (2) Half-life extending significantly (taking much longer to revert), (3) 20-day rolling mean drifting by >1 std dev, (4) Fundamental structural change (new pipeline, policy change), (5) Spread reaching multi-year extremes. Any of these suggests regime shift risk - reduce exposure until relationship stabilizes.