Hi Dom,
How much do you focus on the magnitude of the Profit Factor when you analyze your backtest results?
Have you drawn conclusions about what minimum PF value a system should have in order to work well in live trading?
The method I'm currently using repeatedly gave PFs from 1.6-1.9 in backtesting the four different markets that I trade, but live trading results are giving numbers of 1.3-1.5. I'm quite happy with this, but I keep testing modifications, especially to the exit strategy, to try to increase it .
How much do you focus on the magnitude of the Profit Factor when you analyze your backtest results?
Have you drawn conclusions about what minimum PF value a system should have in order to work well in live trading?
The method I'm currently using repeatedly gave PFs from 1.6-1.9 in backtesting the four different markets that I trade, but live trading results are giving numbers of 1.3-1.5. I'm quite happy with this, but I keep testing modifications, especially to the exit strategy, to try to increase it .
Here are the performance figures for my live trading of CL AlwaysIn since I switched to v46 on October 15:
- 137 trades
- win% : 59%
- avg W/avg L: 0.92
- avg net/trade : $86
- P/F : 1.38
Now, the global view since I started trading that system, all versions combined, is the following:
- 560 trades
- win% : 53%
- avg W/avg L: 0.93
- avg net/trade : $19
- P/F : 1.08