{"id":644514,"date":"2024-11-06T15:00:39","date_gmt":"2024-11-06T14:00:39","guid":{"rendered":"https:\/\/ftmo.com\/?p=644514"},"modified":"2024-11-06T15:11:53","modified_gmt":"2024-11-06T14:11:53","slug":"what-does-profitable-trading-look-like-with-a-working-ea","status":"publish","type":"post","link":"https:\/\/ftmo.com\/en\/what-does-profitable-trading-look-like-with-a-working-ea\/","title":{"rendered":"What does profitable trading look like with a working EA?"},"content":{"rendered":"
In the next part of the series on successful FTMO Traders, we will look at a trader who bet on the most liquid and popular investment instruments using an automated trading system.<\/em><\/p>\n If the trader wanted to trade seven or eight instruments manually, he would have a lot of trading opportunities at his disposal, but such an approach can be quite time consuming. One solution that today’s trader has used is the use of an automated trading system, or expert advisor (EA), which can make trading multiple instruments much easier.<\/p>\n <\/a><\/p>\n A good AOS can really simplify the trader’s work, help him with the emotions that the trader cannot get rid of when entering trades and at the same time help in eliminating unnecessary mistakes when trading. However, it must be kept in mind that before deploying such a system in real trading, the conditions for entering trades must be properly defined and the system must be properly and thoroughly tested and optimized. The trader should also have at least a minimum knowledge of programming to be able to detect and fix errors that might occur in the program code itself if necessary, otherwise he is setting himself up for a big problem.<\/p>\n According to the trader’s balance curve, it is clear that the EA did indeed work well during the period under review. At first glance, it looks like a near-perfect result, but there were a few hiccups. However, the system was able to generate profits quite steadily in the end, as evidenced by the high consistency score.<\/p>\n <\/p>\n A profit of over $36,000 on an account size of $200,000 is excellent and as for the Maximum Daily Loss and Maximum Loss limits, the trader had no problem with them either. During the trading period the trader opened 159 positions with a total size of 437.7 lots, which means about 2.75 lots per position. While EA often opened multiple positions, overall the trader stayed within the limits and did not expose himself to unnecessarily large risk, at least in terms of position sizes.<\/p>\n The average RRR of 1.64 is very good, especially when combined with a trade success rate of almost 68%. Most days ended in profit and interestingly, the trader’s most profitable trading day was the last trading day when he opened the smallest positions. Usually we are used to traders venturing into larger positions as profits increase, but this can backfire when the trader just gets into a losing streak.<\/p>\n <\/p>\n Looking at the trader’s journal, we can notice that our trader can be classified somewhere between intraday swing traders. In some cases, he has no problem closing a position after a few minutes and keeping the very next position on the same instrument open overnight or even for more than one day.<\/p>\n