- Utama
- Komuniti
- Sistem Perdagangan
- EW Tradings EA
EW Tradings EA (Oleh muratyazici)
Pengguna telah memadamkan sistem ini.
Edit Your Comment
EW Tradings EA Perbincangan
Ahli sejak Oct 07, 2016
68 hantaran
Mar 18, 2020 at 05:47
Ahli sejak Oct 07, 2016
68 hantaran
A science approach on FX Algoritmic Tradings.
To get more info;
Telegram: @MuratYAZICI
Best.
To get more info;
Telegram: @MuratYAZICI
Best.
asiscrus.muratyazici@
Ahli sejak Feb 25, 2020
1 hantaran
Ahli sejak Oct 07, 2016
68 hantaran
Mar 18, 2020 at 06:31
Ahli sejak Oct 07, 2016
68 hantaran
Hi suero02,
I hope you are well. Thank you for your interest to my EA called The EW Trading EA. It has started to its own journey as an artifical intelligence project. It is an Expert Advisor (EA), now.
I hope you are well. Thank you for your interest to my EA called The EW Trading EA. It has started to its own journey as an artifical intelligence project. It is an Expert Advisor (EA), now.
asiscrus.muratyazici@
Ahli sejak Oct 07, 2016
68 hantaran
Mar 18, 2020 at 22:23
Ahli sejak Oct 07, 2016
68 hantaran
Welcome to The EW Tradings EA!!
My name is Murat Yazici. I am a purely mathematical trader. I have B.Sc. Statistics and M.Sc. Quantitative Methods degrees. I have several scientific papers, conference presentations in Texas, Toronto, London, Istanbul, books and book chapters studies, and many projects about mathematical and statistical modelling. I am also journal reviewer at some scientific journals such as Open Science Journal of Statistics and Application, Mathematical and Statistical Sciences, International Journal of Computational and Data Sciences, International Journal of Computers & Technology (IJCT), Biostatistics and Biometrics Open Access Journal (BBOAJ), and Biomedical Journal of Scientific & Technical Research (BJSTR).
What is The EW Tradings EA’s Logic?
It is based on A Fuzzy Statistical Model developed by me.
Vague or fuzzy data and application in several fields, such as psychometry, reliability, marketing, quality control, ballistics, ergonomy, image recognition, artificial intelligence, etc. A typical problem where vague data arise is that of assigning numbers to subjective perceptions or to linguistic variables (such as “enough”, “good”, “sufficiently”, etc.). In fact, there are many cases where observations cannot be known or quantified exactly, and, thus, we can only provide an approximate description of them, or intervals to enclose them. For instance, “in measuring the influence of character size on the reading ability of a video display terminal [ … ] the reading ability of the subject, which is essentially the experimental output, depends on his/her eyesight, age, the environment, individual responses, and even how tired is the individual. Some of these factors cannot be described accurately and [ … ] the best description of these kinds of output is that they are fuzzy outputs” [1] [2].
The EW Tradings EA trades on only GBPJPY. I believe statistics and long-term success instead of big growth in a short time. The EW Tradings EA had started its own journey as an artificial intelligence project including reinceforcement learning. It is an Expert Advisor (EA) that runs on GBPJPY, now. It is based on a fuzzy statistical model developed by me. It determines and follows trend while trading.
The EW Trading EA runs with some risk management rules. It generally use 10 pips take profits. It has several intelligence stop loss algorithms in the EA. The EW Trading’s monthly growth target is 6% growth. When it obtains 6% growth, it will stop to trade for that month. It has a max. possible loss percentage, also. If it touches 5% loss in a month, it will stop to trade for that month. This is very important to long term success. By this way, yearly growth can be 80% and up. This is very great percantage. I think that we should more think yearly growth more than monthly or weekly growhts.
The EA works with so little DrawDown (DD). It prefers to open 0.03 lot size for each 10,000 usd. By this way, it has very little max. deposit load and DD. Now, It opens only one trades at the same time, now.
Best,
Murat YAZICI, M.Sc.
References
H. Tanaka, H. Ishibuchi, Identification of possibilistic linear systems by quadratic membership functions of fuzzy parameters, Fuzzy Sets Systems 41 (191) 145-160.
H. Tanaka, H. Ishibuchi, S. Yoshikawa, Exponential possibility regression analysis, Fuzzy Sets Systems 69 (1995) 305-318.
My name is Murat Yazici. I am a purely mathematical trader. I have B.Sc. Statistics and M.Sc. Quantitative Methods degrees. I have several scientific papers, conference presentations in Texas, Toronto, London, Istanbul, books and book chapters studies, and many projects about mathematical and statistical modelling. I am also journal reviewer at some scientific journals such as Open Science Journal of Statistics and Application, Mathematical and Statistical Sciences, International Journal of Computational and Data Sciences, International Journal of Computers & Technology (IJCT), Biostatistics and Biometrics Open Access Journal (BBOAJ), and Biomedical Journal of Scientific & Technical Research (BJSTR).
What is The EW Tradings EA’s Logic?
It is based on A Fuzzy Statistical Model developed by me.
Vague or fuzzy data and application in several fields, such as psychometry, reliability, marketing, quality control, ballistics, ergonomy, image recognition, artificial intelligence, etc. A typical problem where vague data arise is that of assigning numbers to subjective perceptions or to linguistic variables (such as “enough”, “good”, “sufficiently”, etc.). In fact, there are many cases where observations cannot be known or quantified exactly, and, thus, we can only provide an approximate description of them, or intervals to enclose them. For instance, “in measuring the influence of character size on the reading ability of a video display terminal [ … ] the reading ability of the subject, which is essentially the experimental output, depends on his/her eyesight, age, the environment, individual responses, and even how tired is the individual. Some of these factors cannot be described accurately and [ … ] the best description of these kinds of output is that they are fuzzy outputs” [1] [2].
The EW Tradings EA trades on only GBPJPY. I believe statistics and long-term success instead of big growth in a short time. The EW Tradings EA had started its own journey as an artificial intelligence project including reinceforcement learning. It is an Expert Advisor (EA) that runs on GBPJPY, now. It is based on a fuzzy statistical model developed by me. It determines and follows trend while trading.
The EW Trading EA runs with some risk management rules. It generally use 10 pips take profits. It has several intelligence stop loss algorithms in the EA. The EW Trading’s monthly growth target is 6% growth. When it obtains 6% growth, it will stop to trade for that month. It has a max. possible loss percentage, also. If it touches 5% loss in a month, it will stop to trade for that month. This is very important to long term success. By this way, yearly growth can be 80% and up. This is very great percantage. I think that we should more think yearly growth more than monthly or weekly growhts.
The EA works with so little DrawDown (DD). It prefers to open 0.03 lot size for each 10,000 usd. By this way, it has very little max. deposit load and DD. Now, It opens only one trades at the same time, now.
Best,
Murat YAZICI, M.Sc.
References
H. Tanaka, H. Ishibuchi, Identification of possibilistic linear systems by quadratic membership functions of fuzzy parameters, Fuzzy Sets Systems 41 (191) 145-160.
H. Tanaka, H. Ishibuchi, S. Yoshikawa, Exponential possibility regression analysis, Fuzzy Sets Systems 69 (1995) 305-318.
asiscrus.muratyazici@
*Penggunaan komersil dan spam tidak akan diterima, dan boleh mengakibatkan penamatan akaun.
Petua: Menyiarkan url gambar/youtube akan menyisipkannya secara automatik dalam siaran hantaran anda!
Tip: Taipkan tanda @ untuk melengkapkan nama pengguna yang menyertai perbincangan ini secara automatik.