CR-Turquois

CR-Turquois features." Design Features For Dollar YenIs the same EA logic optimal throughout the year? Are the EA parameters determined by summer data also optimal in winter? This EA takes this into consideration and changes the parameters of the EA every month. In addition, we optimize the trailing and loss-cut widths for the EA logic with 12 different parameters per month at the end. When optimizing each individual optimization, we design the risk reward to be high, the win rate, and the number of trades to be large! The win rate is58%.The risk reward ratio is as high as1.12The number of trades is not large, but it is designed to be high. Although the number of trades is not large, it is an EA with a win rate of over 50% and a specification of winning big and losing small, making it a stable operation that is difficult to lose big. Features compared to other EAs This EA is different from other EAs on the market in the following points. It is a unique EA in the following waysOptimization of some of the parameters used for technical indicators and EA parameters using proprietary optimization tools developed in-house, rather than MT4's internal optimization functions interpoint (interword separation)Tick data is analyzed and candlesticks are reconstructed inside the EA In order to demonstrate the features of ** and above, be sure to use it on the 1-minute time frame. Other time frames will not demonstrate the capabilities. Optimization using proprietary tools As you may already know if you usually develop EAs, MT4 uses an AI called a genetic algorithm to determine parameters. However, besides genetic algorithms, AI for parameter optimization can also be used forannealing method, ,simplex method, ,Ant colony optimizationThere are many AI's such as "AAI", "AAI", "AAI", "AAI", etc., each of which has its own strengths and weaknesses. However, since the number of parameters to be optimized and their characteristics (e.g., continuous or discrete values, correlation, etc.) differ, advanced data science knowledge is required to determine which AI should be used. Our EA uses proprietary tools developed by machine learning experts and data science specialists to optimize this EAThe optimal parameters are derived by About Candlestick Reconstruction The standard functionality built into MT4 allows the optimization algorithm to run on standard timeframes prepared in advance, such as 5-minute, 30-minute, and 1-hour timeframes, but since "good" parameters are not always obtained with standard timeframes, these are not truly "optimal" parameters. In this EAProprietary ToolsThe candlestick is reconstructed from Tick data using the At this time, the candlestick time scale used by the EA is also optimized to incorporate truly "optimal" parameters, including the time scale, such as 3 minutes for entry, 7 minutes for settlement, etc.EA with real "optimization".The first two are the following. Proprietary ToolsThe EA reconstructs candlesticks from tick data inside the EA to achieve the special behavior of 3-minute entry, 7-minute settlement, and so on, which is derived by the EA. Entry and closing on different time legs Usually, entry and settlement are made with the same time leg, e.g., 5 minutes for the 5-minute leg, 60 minutes for the 60-minute leg, etc. This EA uses entry and settlement with different time legs. This EA uses a different time leg for entry and settlement. This is achieved by using a proprietary tool to calculate the time frame, and is one of the major features of this system. This makes it possible to perform special behavior not found in other EAs, such as entering at the 3-minute time frame and closing at the 7-minute time frame. By expanding the optimization to the time frame, the most advantageous time frame can be used for entry and settlement, and the increase in profit and decrease in loss can be controlled better than with the usual EA optimization method. Operational Methods Recommended trading style swing trade typeThe optimization is done in the following manner. This EA isswing trade typeThe high risk reward is achieved by adopting a design of This is achieved by having a winning average pips > losing average pips, which allows the trader to win big and lose small, andLong-term stable managementThis is achieved. In addition, when spread fluctuations occur, the winning pips side decreases, and trades that were positive with low spreads become negative, resulting in a so-called "spread poor" situation. This is the reason why this EA is designed for short-term operations. Because of this feature, this EA shows its true performance (close to the back-test results) when operated for a long period of time rather than for a short period of time. The back test of the EA for USD/JPY is based on a spread of 10, but the chart below shows a test run with a spread of 30 (if you expect a spread of 15 or more, please change the upper spread limit in the Expert Settings). ) Even when the backtest was run with a spread of 30, a return of 48.20% was obtained, showing that the spread tolerance is very high. Figure Spread 5 Profitability 60.84 Figure Spread 10 (standard) Rate of return 58.47 Figure Spread 15 Profitability 55.91 Figure Spread 20 Rate of return 53.26 Figure Spread 30 Rate of return 48.20%. Risk Management Based on the knowledge of financial engineering, Balsara's bankruptcy probability theory is used to achieve long-term stable investment and avoid bankruptcy. It is common to invest with a bankruptcy probability of 0.5~2%, and it is recommended to invest within this range. In the back test of this EA, the following conditions were used. Initial margin: 1 million yen Test period: 8 years (from 2013 to the end of December 2020) Number of lots: 0.1 (10,000 currencies), approximately 50,000 yen per investment Leverage: 20 Risk reward ratio (average pips of winning trades/average pips of losing trades): 1.13 Probability of bankruptcy: 0.06 *We define bankruptcy as the state in which one cannot invest anymore. Simply put, the probability of losing 200 times in a row is 0.05%. Backtest Performance Comparison This is a comparison of 8 years and 10 months of results in 2021, when no data was used, against the 8 years of backtest results used in the development (January 2013 through the end of December 2020). A spread of 10 is used.

test-name	test (testing) period	Number of transactions	net income	winning percentage	profit factor
Development Period Back Testing	8 years (2013.01.01-2020.12.31)	516 times (0.29 times per day)	61.02% (7.62% per year) (7.62% per year)	54.07% (%)	1.33
Back testing (including outside of development period)	8 years and 10 months (2013.01.01-2021.10.31 )	557 times (0.27 times per day)	58.47% (6.64% per year)	53.50	1.29

average winning trade	Average Losing Trade	risk-reward	Relative Drawdown	absolute drawdown
88.34pips	78.25 pips	1.13	12.31% (in millions of yen)	12.31% (in millions of yen)
85.81 pips	76.85pips	1.13	12.96% (in %)	12.96% (in %)

The results show that the EA is able to generate earnings as expected even outside of the back-testing period. About chart.robot EAs. Among the many productsCR-TurquoisThank you for your interest in the This EA is aProducts that utilize AI, a cutting-edge technology, for setting technical indicators and optimizing various parameters, and incorporate them into EAs.This will be the case. In recent years, algorithmic trading has become the mainstream, automated trading has attracted more attention, and technical indicators have become more important. The number of new EA traders and EA developers is increasing every year as a result of the attention paid to automated trading. However, with the increase in the number of EA developers, there have been large differences in knowledge, understanding, and utilization of various indicators and parameters among developers, and products with uncertain reliability have been seen in some cases. As a result, it is becoming increasingly difficult to find truly great EAs, as I am sure you have felt. Have you ever seen an EA whose back-test and forward-test results did not match? One of the reasons for this is that they are trying to make the back-test results look better.over-optimizationThe reason for this is that the EA is not able to respond to the market conditions of a specific period or condition due to its low generalization performance. Due to its low generalization performance, this EA can only respond to market conditions during specific periods and conditions, making it difficult to increase assets over a long period of time because it cannot respond to periods other than those used for optimization. Therefore, we have started to develop this EA by fully utilizing our experience and knowledge cultivated through discretionary trading and our knowledge as experts in AI and financial engineering. We paid careful attention to tuning the EA so that there would be no discrepancy between the results of back testing and forward testing, and developed an EA that is different and distinct from other products. Furthermore, the trading stylescalping typeInstead of.swing trade typeThe use of the "M" in the design ensures robustness against spreads. swing trade typeThe EA is designed to perform as it should (close to the back-test results) when operated over a long period of time because it employs the In addition, by not employing a "napin martingale," the EA is unaffected by the initial investment funds and avoids deterioration in capital efficiency. What is AI? The AI used in this EA is primarilyoperations researchand machine learning algorithms used in the field of mathematical optimization. Genetic algorithms, a parameter optimization tool that is also a standard feature of MT4, is one such example. EAs and AI go hand in hand." One of the great things about automated trading is that, unlike discretionary trading, psychological impulses do not affect the trade in any way. If you are a discretionary trader, you are well aware of this advantage. And it goes without saying that setting the combination of indicators and parameter selection with AI, which is free from psychological bias, makes the EA even more complete. This is one of the major advantages of this EA. Finally." Thank you for taking a look at this EA. Some of you who have read this far may be wondering how we were able to develop such a complex EA. Let me briefly introduce the followingprofessionalSeveral have been closely involved from the initial conception. All of them are still active as traders, some of themDiscretionary trader for over 10 yearsSome members have built their track record as Some excerpts are. .Expertise in Artificial Intelligence interpoint (interword separation)Expertise in financial engineering interpoint (interword separation)data scientist The main members of the team are Most of them have experience working overseas, and we are proud to be able to provide artificial intelligence algorithms that are as good as those of a group of data scientists based in Silicon Valley. We will continue to develop professional algorithms that are as close as possible to those of foreign investment banks and other real quantitative funds. We are very pleased to be able to provide you with another new EA. We hope that you will experience the results first hand and look forward to future developments. In addition, we are providing useful information on our website on a daily basis. This includes the day's forecast, the previous day's summary, and columns. We also provide explanations of technical indicators for beginners, so if you are interested, please click on the link below. --------------------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------------------- Please read this before operation. (technical) specification Basic functions Simple interest only. Easy to trade by simply setting the number of lots, initial capital, and leverage; no other parameters need to be initially tweaked. [Currency pair, time frame]. USD/JPY, 1 minute only Entry time Forced settlement will be made at midnight local time (Japan time) on Saturday. Recommended Initial Margin and Number of Lots to Operate Based on Balsara's bankruptcy probability theory, we strongly recommend the following settings to reduce the probability of bankruptcy in long-term operations. Initial margin: 1,000,000 yen Number of lots: 0.1 (10,000 currency) = 50,000 yen Leverage: 20 Features Combination optimization of technical indicators Optimization of technical indicator parameters Optimization of entry and settlement timeframes Optimization of basic trading parameters such as stop loss and hold time Precautions for use ...and never carry it over the weekend.Forced settlement at midnight on SaturdayThe risk of FX transactions is high, including the risk of loss of principal. FX trading involves high risk, including loss of principal. The spread tolerance of the EA is relatively high, but if you use a brokerage firm with the narrowest spread possible, you can expect a result closer to the intended performance. If the balance between lot size and margin is not appropriate, it may not be able to keep up with price fluctuations and may result in a loss cut. We recommend that you set lot size and margin according to your risk tolerance. We recommend that you confirm the movements of the EA in the demo account and grasp the characteristics of the movements before using it in the main account. We recommend that you start with a small lot size after transferring to the main account. You can manually close positions after entry, but you will not be able to achieve the original performance of the EA. Terms of Use (Disclaimer) This EA does not guarantee an increase in profits or a decrease in losses. The results of back and forward tests are not a guarantee of future profits. The EA developer does not guarantee any loss caused by any reason, including but not limited to defects in the EA. Please trade at your own discretion. Please understand the above before purchasing this product.