Trading on margin is extremely popular among retail Forex traders. It allows you to open a much larger position than your initial trading account would otherwise allow, by allocating only a small portion of your trading account as the margin, or collateral for the trade. Trading on margin also carries certain risks, as both your profits and losses are magnified.
If it was this easy to earn money utilising robots, nobody would ever go to work. It is possible that robots can make money for a restricted time period, but they could start losing after awhile - and the money earned by the 'best Forex robot' with one position may disappear before you can claim it. In addition, the vast majority of robots are scalpers. They make just a few pips with every position they take - and they can set a considerably tight target. The chances of surviving with such a strategy are quite limited for a trader.
There are benefits to be had of planning your Forex trading well in advance. In fact most experienced traders will allocate a little time on Saturday or Sunday putting together their weekday trading schedule. In this article we take a look at how the benefits of putting together your own unique trading schedule to ensure you know just when, why and what Forex you will be trading in the week ahead.
Once an investor has started buying a stock on margin, the NYSE and FINRA require that a minimum amount of equity be maintained in the investor's margin account. These rules require investors to have at least 25% of the total market value of the securities they own in their margin account. This is called the maintenance margin. For market participants identified as pattern day traders, the maintenance margin requirement is a minimum of $25,000 (or 25% of the total market value of the securities, whichever is higher).
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.