For traders who use robots, they should not fully depend on it to conduct all of their trading activity. Ultimately, trading demands a considerable amount of human research and observation. Additionally humans, and not trading software, can actually follow up with diverse economic conditions, and keep up with the news in the financial world. Forex robots, which are thought to be Forex robots that work, can solely find positive trends as well as trading signals, but occasionally their functionality is unfavourably affected by either jittery trends or false information.
Maximum drawdown on the forex robots trading account statement, listed in the table as a percentage. Drawdown is a percentage of the account which has been lost when there was a run of losing trades. It is a measure of the largest loss that the trading account had at any given moment or period of time. The period of time in the table is since the forex robot started trading on the account. You can click this table heading to rank the table of forex robots by the drawdown to see what are the best forex robots with the least drawdowns.
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.
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