Profit factor on the forex robot trading account statement. Profit factor is the gross profit / gross loss. E.g Profit of $6000 and a loss of $3000 would give a profit factor of 2.0. This means that for every $1 risked, you can expect a return of $2. If a forex robot has a profit factor less than 1, eg profit factor of 0.7, this means that for every $1 you can expect $0.70 back (the forex robot is a losing one!). If a forex robot has a high profit factor, it is a good one – eg profit factor of 6.0 ($6 gained for every $1 risked). You can click this table heading to rank the table of forex robots by the profit factor to see what are the best forex robots with the highest profit factor.
Just like securities, commodities have required initial and maintenance margins. These are typically set by the individual exchanges as a percentage of the current value of a futures contract, based on the volatility and price of the contract. The initial margin requirement for a futures contract is the amount of money you must put up as collateral to open position on the contract. To be able to buy a futures contract, you must meet the initial margin requirement, which means that you must deposit or already have that amount of money in your account.
Imagine that you have $10,000 on your account account, and you have a losing position with a margin evaluated at $1,000. If your position goes against you, and it goes to a $9,000 loss, the equity will be $1,000 (i.e $10,000 - $9,000), which equals the margin. Thus, the margin level will be 100%. Again, if the margin level reaches the rate of 100%, you can't take any new positions, unless the market suddenly turns around and your equity level turns out to be greater than the margin.
In particular I would like to make the system a lot faster, since it will allow parameter searches to be carried out in a reasonable time. While Python is a great tool, it's one drawback is that it is relatively slow when compared to C/C++. Hence I will be carrying out a lot of profiling to try and improve the execution speed of both the backtest and the performance calculations.