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The FxPro Margin Calculator works out exactly how much margin is required in order to guarantee a position that you would like to open. This helps you determine whether you should reduce the lot size you are trading, or adjust the leverage you are using, taking into account your account balance. Select your trading instrument, your trade size, leverage and account currency, and click ‘Calculate’. Our Margin Calculator will do the rest.
As we've already stated, trading on margin is trading on money borrowed from your broker. Each time you open a trade on margin, your broker automatically allocates the required margin from your existing funds in the trading account in order to back the margin trade. The precise amount of allocated funds depends on the leverage ratio used on your account.
If you believe that a currency pair such as the Australian dollar will rise against the US Dollar you can place a buy trade on AUD/USD. If the prices rises, you will make a profit for every point that AUD appreciates against the USD. If the market falls, then you will make a loss for every point the price moves against you. Our trading platform tells you in real-time how much profit or loss you are making.
Free Margin – Your free margin represents your total equity minus any margin used for leveraged trades. For example, if your equity is $1,000 and your used margin is $100, your free margin would amount to $900. Following your free margin is extremely important, as it is used to withstand negative price fluctuations from your open trades and to open new leveraged trades. It’s important to understand that your free margin increases with profitable positions, but decreases with your losing positions. Once the free margin drops to zero or below, your broker will activate the so-called margin call and close all your open positions at the current market rate, in order to prevent your equity from falling below the required margin.
If you sell a security short, you must have sufficient equity in your account to cover any fees associated with borrowing the security. If you borrow the security through us, we will borrow the security on your behalf and your account must have sufficient collateral to cover the margin requirements of the short sale. To cover administrative fees and stock borrowing fees, we must post 102% of the value of the security borrowed as collateral with the lender. In instances in which the security shorted is hard to borrow, borrowing fees charged by the lender may be so high (greater than the interest earned) that the short seller must pay additional interest for the privilege of borrowing a security. Customers may view the indicative short stock interest rates for a specific stock through the Short Stock (SLB) Availability tool located in the Tools section of their Account Management page. For more information concerning shorting stocks and associated fees, visit our Stock Shorting page.
2) In the table, you will see the indicators of all trading advisors who have worked for several months or years. This will help you to understand which of the robots is the safest or which program you need to connect for aggressive trading and getting quick results. For the convenience of search, you can use a filter that will sort the algorithms according to the following criteria: drawdown, initial deposit, number of days worked and total profit. The better the ratio of these indicators, the greater the assessment assigned to the robot in the overall rating. For clarity, you will see a graph giving a visual assessment of the performance of each robot.
Forex trading is versatile due to the different trading styles, Forex strategies, and Forex systems that can be used. In the Forex market, there are traders of all levels of proficiency, and each type of trader will have different ways of working. One of the features of Forex is the split between the traders who want to manually trade, and those who want to utilise automated trading. This article will focus on automated trading.
In particular I've made the interface for beginning a new backtest a lot simpler by encapsulating a lot of the "boilerplate" code into a new Backtest class. I've also modified the system to be fully workable with multiple currency pairs. In this article I'll describe the new interface and show the usual Moving Average Crossover example on both GBP/USD and EUR/USD.
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.