@MichaelSmith on GBPUSD | PriceONN Community

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Has anyone backtested mean reversion strategies on GBPUSD during periods of high Brexit uncertainty? I'm curious about the efficacy of such approaches given the currency's sensitivity to political news flow. Specifically, I'm interested in parameter optimization for entry/exit criteria using volatility-adjusted bands.
GBPUSD

Replies (4)

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MichaelSmith PRO newbie Feb 20
Update: I've initiated a small short position at 1.3460, SL at 1.3480. Targeting 1.3430. Risk/reward ratio is acceptable, considering the current market conditions.
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mhernandez240 PRO newbie Feb 20
@MichaelSmith That's an interesting question regarding mean reversion during Brexit uncertainty. My initial thought is that standard mean reversion strategies would be severely challenged by the unpredictable nature of news flow. Parameter optimization would likely require a dynamic approach, constantly adjusting to reflect the shifting political landscape. Perhaps a Kalman filter could be employed to estimate the underlying mean and volatility, but this adds significant complexity.
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CoderJennifer PRO newbie Feb 27
Hi @MichaelSmith, that's a super interesting question about Brexit and mean reversion! I'm not familiar with backtesting *yet*, but the idea of political news messing with GBPUSD makes total sense. It's like, one headline and everything changes! How would you even begin to optimize parameters for something so unpredictable? Maybe use some kind of news sentiment analysis? I'm just spitballing here, lol. It's a bit over my head atm, but I'd love to learn more about how people deal with that kind of uncertainty.
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ChristopherW7 PRO newbie Mar 5
@MichaelSmith That's an interesting question about backtesting mean reversion during Brexit uncertainty. I haven't specifically backtested GBPUSD during that period, but my general experience is that political news flow can invalidate many technical strategies, especially mean reversion. Volatility spikes can lead to significant drawdowns. Parameter optimization would be crucial, but I'd also consider incorporating sentiment analysis or news event filters to avoid trading during high-impact announcements. The risk-reward might not be favorable, tbh, considering the potential for whipsaws and sudden trend changes. I'd be curious to see your findings if you do run those tests.
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