HYDRANGEA EA v2.13 (USDJPY M5)

Introduction SL30 setting, which is rare for anomaly-based EAs.  My lot setting is such that when the maximum SL (stop loss) comes, the loss is within 1-3% of the fund. I am sure there are many people who manage lots in this way, but EAs with wide SLs such as 100 (which are common in commercial EAs) inevitably have to reduce the lot size. 1 million yen with 2% risk would require 0.2 lots for SL 100, while SL 30 would require 0.66 lots. This difference is directly related to the difference in profitability. 　As those who have dabbled in EA creation may understand, it is extremely difficult to create a high-performance EA with a low SL. The fact that the SL of most commercial EAs is set at close to 100 shows that backtest results (PF, total return, etc.) look better with a deeper SL. 　However, when considering actual operation, we would like to operate EAs with low SL even if the backtest looks a little worse because of the advantage of being able to increase the number of lots. Another advantage is that it has low SL and moderate stop-loss, so it does not fall into a disastrous situation like commercial EAs that cannot recover for several months or years if the timing of operation is bad and DD is caught in the early stage from the start of operation. 　As mentioned above, this EA is more about actual profit than appearance. It is not a commercial EA made to sell, but an EA made to earn money for myself! What is anomaly EA? 　Anomaly EA is an EA that targets the characteristic price movement of a specific currency pair during a specific time period according to supply and demand. Since there is a sense of direction, the win rate is good if the trader follows the trend. In addition, since price movements are based on actual demand and supply, it is difficult for the advantage to fade. What are the weaknesses of the Anomaly EA? 　Because of the above features, it is very reproducible, and there have been many before, including the middle price. However, anomaly EA tends to aim at the direction of the time zone, so “entry at the specified time” and “settlement at the specified time” are often used. In the case of such specifications, there is a drawback that “entry and settlement timings can be complicated. 　Therefore, in this EA “Hydrangea (1) Enter when the market is technically superior even if it does not reach the specified time. (2) Forego entry if the situation is technically severe even if the specified time has passed. (3) Settlement is made based on multiple factors, including time settlement, TP settlement, and technical settlement. 　We have developed a solution to this problem. In this way, we strived to maximize the strength of the Anomaly EA. In addition, by combining the middle price and go to bi anomalies with weekly and monthly supply and demand factors, profitability increased dramatically!