Gold-Sterling Correlation Strategy

Yes, correlation trading involves simultaneous positions in both markets. You go long one and short the other based on which has diverged. This creates a market-neutral position that profits from convergence.

That's fine! You're not betting on direction but on the relative performance. If gold is long and GBP is short, you profit if gold outperforms GBP, even if both fall - as long as gold falls less.

The strategy requires minimum 0.3 correlation (60-day). Below this, the relationship is too weak and spread trades may not converge reliably. Check correlation before entering any trade.

Gold-sterling correlation trades typically last 3-10 days. Most divergences correct within this timeframe. A time stop of 15 days exits trades that aren't working.

Yes, but you need access to both gold and forex. Mini or micro positions work well. CFDs offer flexibility. Start with smaller position sizes until you understand the strategy.

Run a linear regression of gold returns on GBP returns over 60 days. The slope (beta) is the hedge ratio. Many platforms can calculate this automatically. Update it periodically.

UK-specific events (BoE, Brexit), gold-specific events (central bank buying), or structural changes (policy shifts). Most breakdowns are temporary; some are regime changes requiring strategy pause.

Because positions are opposite directions, overnight moves in one direction partially offset. Total portfolio risk is lower than two separate directional trades. Still use appropriate sizing.

Ideally yes, for easier management. But you can use different brokers. Key is simultaneous execution and proper sizing. Some brokers offer combined gold/forex trading.

Correlation measures how returns move together. Cointegration means the price spread is stationary (mean-reverting). Cointegration is stronger evidence the spread will converge.

Use Engle-Granger two-step method: regress gold on GBP, then test residuals with ADF test. If residuals are stationary (p < 0.05), the pair is cointegrated. Johansen test is more robust for multiple pairs.

Half-life of 3-10 days is ideal. Much shorter means very quick reversion (may miss entry). Much longer (>15 days) means slow reversion and capital tied up. Calculate using lag regression.

Select cointegrated pairs, analyze spread correlations between pairs, allocate capital using risk parity (inverse volatility weighting), and limit total exposure. Aim for low correlation between spreads.

When rolling Sharpe consistently falls below 0.8, half-life increases significantly, cointegration weakens, or correlation consistently stays below 0.3. Strategy decay is natural; adapt or retire.

Use walk-forward testing: optimize on in-sample, validate on out-of-sample, roll forward. Aggregate out-of-sample results. Prefer simple, robust parameters over complex optimized ones.