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.
All currency trading is done in pairs. Unlike the stock market, where you can buy or sell a single stock, you have to buy one currency and sell another currency in the forex market. Next, nearly all currencies are priced out to the fourth decimal point. A pip or percentage in point is the smallest increment of trade. One pip typically equals 1/100 of 1 percent.
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.
Successful FX trading is based on knowledge, proficiency and skill. It involves analytical thinking, and something visual. When looking at what are Forex robots, it is clear that they cannot properly work in this manner. Market conditions tend to change all the time, and only an experienced Forex trader can distinguish between when to enter the market, or when to stay away.
Not all securities can be bought on margin. Buying on margin is a double-edged sword that can translate into bigger gains or bigger losses. In volatile markets, investors who borrowed from their brokers may need to provide additional cash if the price of a stock drops too much for those who bought on margin or rallies too much for those who shorted a stock. In such cases, brokers are also allowed to liquidate a position, even without informing the investor. Real-time position monitoring is a crucial tool when buying on margin or shorting a stock.
Maintenance margin for commodities is the amount that you must maintain in your account to support the futures contract and represents the lowest level to which your account can drop before you must deposit additional funds. Commodities positions are marked to market daily, with your account adjusted for any profit or loss that occurs. Because the price of underlying commodities fluctuates, it is possible that the value of the commodity may decline to the point at which your account balance falls below the required maintenance margin. If this happens, brokers typically make a margin call, which means you must deposit additional funds to meet the margin requirement.
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.