Doing opposite of what the model says

Say you've written a strategy. During back-testing, you find out that the strategy is losing money on most of the positions it enters into. Is it viable to use the strategy but instead do the exact opposite of what the strategy tells you in terms of positioning?

I understand that such a behavior requires further investigation, but if we ignore that, can you rely on such a strategy?

Depends on how much data you`ve tested it with.Test it a little more and it`ll revert to positive i`m 100% confident.
 
Technically a losing position can always win if reversed (even discounting spread, commisions and costs). It requires never realizing the loss (ie. no stopp-loss) and is based on hindsight of the current trading plan already being a loser.

In practice, people strive for systems with some form of risk management (aka stop-losses and targets). These will realize paper-losses into real losses (SL="create-loss"), or place limits on profitability per trade. These rules are non-reversible from a practical trading perspective, as they will operate on quite different data (derived from flipping chart upside-down).

Remember, a "losing system", might be tomorrow's winner. Declaring a system "loser" is also a prediction, when not just hindsight analysis.
 
Technically a losing position can always win if reversed (even discounting spread, commisions and costs). It requires never realizing the loss (ie. no stopp-loss) and is based on hindsight of the current trading plan already being a loser.

In practice, people strive for systems with some form of risk management (aka stop-losses and targets). These will realize paper-losses into real losses (SL="create-loss"), or place limits on profitability per trade. These rules are non-reversible from a practical trading perspective, as they will operate on quite different data (derived from flipping chart upside-down).

Remember, a "losing system", might be tomorrow's winner. Declaring a system "loser" is also a prediction, when not just hindsight analysis.

I agree with you, a strategy with concrete risk management rules is what everyone should aim for.

The system was backtested on 3800 days worth of data, and on 90% of those days, the market behaved the opposite of what the strategy expected. Wouldn't you call this a strong enough signal.
 
Yeah it works, and as mentioned before the key is consistency. Say your PnL = F(X1...Xn, C) with X your parameters and C your cost. I'd first set C=0 and test different X1...Xn. Take the top performers (making a ton of money) and the bottom performers (losing a ton of money). Retest the former with a punitive C and the latter with a punitive -C, and see where you get the max absolute P&L. Of course overfitting warnings apply!
 
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