市场 / MetaTrader 5 / 指标 / SSA Stochastic Limited Edition 4 FREE 已发布: 18 一月 2017 当前版本: 2.15 找不到合适的EA交易?请在自由职业者服务中订购您自己的EA交易 进入自由职业者服务 如何 购买 自动交易或指标 在 虚拟 主机运行您的EA 购买之前测试一个指标/EA交易 想要在市场 赚钱 吗? 如何介绍 用于流通销售的产品 概述 评分 (7) 评论 (3) 新特性 只有购买或租用产品的用户才可以进行评论 Mohamed Anis 2017.04.25 15:36 #1 hello Mr.Roman, to what time-frame do you recommend ? and what is the %k & %d values do you recommend while using M5 ? thank you. Roman Korotchenko 2017.04.25 16:06 #2 Mohamed Anis: hello Mr.Roman, to what time-frame do you recommend ? and what is the %k & %d values do you recommend while using M5 ? thank you. Hello Mr. Mohamed. I suppose, M15 is more optimal time-frame than M5. M5 is very noisy interval. 1-3 nearest points are more reliable data.In general the next param sets on start:SSA Fast Trend Forecast 2.5:Algorithm: Recurrent forecast,N: Data fragment = 256, Time-dependent lag = N/3, Trend high-freq. limit= 0.25,Forecast high-freq. limit= 0.25,Forecast transform = S[i]/Max(:),Forecast smoothing = Smoothing MA(3).SSACD Forecast (Limited) 2.5:Algorithm: Recurrent forecast,N: Data fragment = 512, Time-dependent lag = N/4, FastTrend high-freq. limit = 0.4SlowTrend high-freq. limit= 0.6Signal SMA period = 4Data preparation = {ln(S[i]-Smin+1)}/Max(:)Forecast preparation = S[i] /Max(:)Forecast smoothing = Smoothing MA(3).SSA Stochastic (Limited) 2.0:Algorithm: Recurrent forecast,N: Data fragment = 256, Time-dependent lag = N/4, %K high-freq. limit = 0.3,%D high-freq. limit = 0.6,Data preparation = S[i] /Max(:),Forecast smoothing = Smoothing MA(3).But that sets are orientirs. Good luck. [删除] 2023.05.22 12:07 #3 can i get the source code please , thanks 您错过了交易机会: 免费交易应用程序 8,000+信号可供复制 探索金融市场的经济新闻 注册 登录 拉丁字符(不带空格) 密码将被发送至该邮箱 发生错误 使用 Google 登录 您同意网站政策和使用条款 如果您没有帐号,请注册 可以使用cookies登录MQL5.com网站。 请在您的浏览器中启用必要的设置,否则您将无法登录。 忘记您的登录名/密码? 使用 Google 登录
Mohamed Anis 2017.04.25 15:36 #1 hello Mr.Roman, to what time-frame do you recommend ? and what is the %k & %d values do you recommend while using M5 ? thank you.
Roman Korotchenko 2017.04.25 16:06 #2 Mohamed Anis: hello Mr.Roman, to what time-frame do you recommend ? and what is the %k & %d values do you recommend while using M5 ? thank you. Hello Mr. Mohamed. I suppose, M15 is more optimal time-frame than M5. M5 is very noisy interval. 1-3 nearest points are more reliable data.In general the next param sets on start:SSA Fast Trend Forecast 2.5:Algorithm: Recurrent forecast,N: Data fragment = 256, Time-dependent lag = N/3, Trend high-freq. limit= 0.25,Forecast high-freq. limit= 0.25,Forecast transform = S[i]/Max(:),Forecast smoothing = Smoothing MA(3).SSACD Forecast (Limited) 2.5:Algorithm: Recurrent forecast,N: Data fragment = 512, Time-dependent lag = N/4, FastTrend high-freq. limit = 0.4SlowTrend high-freq. limit= 0.6Signal SMA period = 4Data preparation = {ln(S[i]-Smin+1)}/Max(:)Forecast preparation = S[i] /Max(:)Forecast smoothing = Smoothing MA(3).SSA Stochastic (Limited) 2.0:Algorithm: Recurrent forecast,N: Data fragment = 256, Time-dependent lag = N/4, %K high-freq. limit = 0.3,%D high-freq. limit = 0.6,Data preparation = S[i] /Max(:),Forecast smoothing = Smoothing MA(3).But that sets are orientirs. Good luck.
hello Mr.Roman, to what time-frame do you recommend ? and what is the %k & %d values do you recommend while using M5 ? thank you.
Hello Mr. Mohamed. I suppose, M15 is more optimal time-frame than M5. M5 is very noisy interval. 1-3 nearest points are more reliable data.
In general the next param sets on start:
Algorithm: Recurrent forecast,
N: Data fragment = 256,
Time-dependent lag = N/3,
Trend high-freq. limit= 0.25,
Forecast high-freq. limit= 0.25,
Forecast transform = S[i]/Max(:),
Forecast smoothing = Smoothing MA(3).
Algorithm: Recurrent forecast,
N: Data fragment = 512,
Time-dependent lag = N/4,
FastTrend high-freq. limit = 0.4
SlowTrend high-freq. limit= 0.6
Signal SMA period = 4
Data preparation = {ln(S[i]-Smin+1)}/Max(:)
Forecast preparation = S[i] /Max(:)
Forecast smoothing = Smoothing MA(3).
Algorithm: Recurrent forecast,
N: Data fragment = 256,
Time-dependent lag = N/4,
%K high-freq. limit = 0.3,
%D high-freq. limit = 0.6,
Data preparation = S[i] /Max(:),
Forecast smoothing = Smoothing MA(3).