Sergey Golubev
Commentaire sur le thème 如何开始学习MQL5
使用 EA 交易可视向导创建 EA 交易 MetaTrader 5 的“EA 交易可视向导” 提供一种高度直观的图形环境，带有一整套允许您在数分钟内完成 EA 交易设计的预定义交易代码块。无需编写代码、编程或 MQL5 知识。 “EA 交易可视向导” 的单击拖拽法允许您像使用铅笔和纸张一样，创建外汇交易策略与信号的可视化呈现。这些交易图表均通过 Molanis 的 MQL5
Newdigital
Sergey Golubev
Sergey Golubev
Muhammad Syamil Bin Abdullah
Commentaire sur le thème Something Interesting to Read January 2014
In The Trading Cockpit With The O'Neil Disciples In their bestselling Trade Like an O'Neil Disciple, Gil Morales and Dr. Chris Kacher described their experiences working side-by-side with market
Sergey Golubev
Sergey Golubev
Commentaire sur le thème Press review
GBPUSD Fundamentals Fundamental Forecast for the British Pound: Bullish British Pound Soars as UK Retail Sales Rise Most in 3 Years , Price & Time: Sell GBP/USD Next Week? The British Pound appears to
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Sergey Golubev
Sergey Golubev
Commentaire sur le thème Press review
How Forex News Traders Use ISM Numbers (adapted from dailyfx article ) The Institute for Supply Management (ISM) was founded in 1915 and is the first supply management institute in the world
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Sergey Golubev
Sergey Golubev
Commentaire sur le thème Informações e Dicas Relacionadas ao Terminal MetaTrader 5
Como assinar sinais de negociação Os "Sinais" na plataforma de negociação MetaTrader 5 permitem que os negociadores se conectem a qualquer sinal emitido pelos provedores. Selecione e assine qualquer
Sergey Golubev
Sergey Golubev
Commentaire sur le thème Notícias econômicas e financeiras
2013-01-17 09:30 GMT (or 10:30 MQ MT5 time) | [GBP - Vendas no Varejo ] dados passado é de 0.1%, dados de previsão é de 0.4%, dados reais é de 2.6% de acordo com o comunicado de imprensa mais recente
Sergey Golubev
Sergey Golubev
Commentaire sur le thème Something Interesting to Read January 2014
Treasury Operations Foreign Exchange Challenge This book shows how trading systems, computer-based models, and other analytical tools can be used to examine financial opportunities and help develop
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Sergey Golubev
Rogerio Figurelli
Commentaire sur le thème Something Interesting to Read January 2014
The Signal and the Noise: Why So Many Predictions Fail — but Some Don't by Nate Silver My description: in my opinion, some of the best books regarding algorithmic trading are not books wrote for
Sergey Golubev
bota mircea
The dollar is close to the biggest weekly gain in the last two months after it has appreciated against most of its counterparts while the Japanese yen managed to limit its losses before it. The Australian dollar continued its decline amid rumors on the potential cutting the policy rate.
European stock markets remained close to the maximum of six years after the U.S. macro data was in line with expectations. U.S. stocks fell after the financial reports of companies disappointed investors. Asian capital market fared floating before China's economic reports next week.
European stock markets remained close to the maximum of six years after the U.S. macro data was in line with expectations. U.S. stocks fell after the financial reports of companies disappointed investors. Asian capital market fared floating before China's economic reports next week.
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Sergey Golubev
Sergey Golubev
Commentaire sur le thème Press review
As traders, our job is not easy (adapted from dailyfx article ) Tenet #1 Old support can become new resistance, and old resistance can become new support One of the greatest aspects of price action is
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Sergey Golubev
Sergey Golubev
Commentaire sur le thème 如何开始学习MQL5
使用指数平滑法进行时间序列预测 （续） 《使用指数平滑法进行时间序列预测》 一文对指数平滑模型进行了简要总结，举例阐明了一种用于优化模型参数的可能方案，并最终提出了基于呈线性衰减的增长模型开发的预测指标。本文体现了在一定程度上提升该预测指标准确性的一次尝试。 预测货币报价甚至提前三四步进行极为可靠的预测，实施起来都比较复杂。然而，在本系列的前一篇文章中，我们会提前 12
Sergey Golubev
Sergey Golubev
Commentaire sur le thème 如何开始学习MQL5
创建 EA 交易优化的自定义标准 MetaTrader 5 客户端提供了各种机会来优化 EA 交易的参数。除了策略测试程序中包含的优化标准以外，开发人员还有机会创建自己的标准。这样一来，EA 交易的测试和优化便具有了无限的可能性。本文介绍了创建此类标准的实用方法，既适用于复杂标准，也适用于简单标准
Sergey Golubev
Trading CPI
On the image - buy position with stop loss on breakeven
On the image - buy position with stop loss on breakeven
Sergey Golubev
Commentaire sur le thème Market Condition Evaluation based on standard indicators in Metatrader 5
Forum on trading, automated trading systems and testing trading strategies Press review newdigital , 2014.01.16 11:04 Trading the News: U.S. Consumer Price Index (adapted from dailyfx article ) U.S
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Sergey Golubev
中国央行：将彻底清理资信差、功能不明、财务不可持续的地方融资平台公司
中国央行：将彻底清理资信差、功能不明、财务不可持续的地方融资平台公司；将积极推进市政债的市场技术准备；将审慎开展农村土地承包经营权抵押贷款试点。
中国央行：将彻底清理资信差、功能不明、财务不可持续的地方融资平台公司；将积极推进市政债的市场技术准备；将审慎开展农村土地承包经营权抵押贷款试点。
Sergey Golubev
Commentaire sur le thème 报刊评论
中国央行：将彻底清理资信差、功能不明、财务不可持续的地方融资平台公司 中国央行：将彻底清理资信差、功能不明、财务不可持续的地方融资平台公司；将积极推进市政债的市场技术准备；将审慎开展农村土地承包经营权抵押贷款试点。
Sergey Golubev
Wagdy Abdelrahman
AUDUSD - Elliott Waves
Big Vision - Weekly
our current wave now is part of XX wave and "b' in XX is Extended flat still we target levels 1.03xx .
Big Vision - Weekly
our current wave now is part of XX wave and "b' in XX is Extended flat still we target levels 1.03xx .
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Sergey Golubev
bota mircea
The dollar appreciated against the Japanese Yen for the third consecutive day on positive data coming from the U.S. economy. The euro weakened against the dollar, reaching 1.3622 level. The Australian dollar fell against its counterparts last three years minimum reached after a surprising increase in unemployment.
European equity markets gained ground after the World Bank increased global economic growth forecast. U.S. stocks have been increasing following the publication than expected indicator of manufacturing sector. Asian capital market had a fluctuating trend data today before the U.S. labor market.
European equity markets gained ground after the World Bank increased global economic growth forecast. U.S. stocks have been increasing following the publication than expected indicator of manufacturing sector. Asian capital market had a fluctuating trend data today before the U.S. labor market.
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Sergey Golubev
Sergey Golubev
Commentaire sur le thème 如何开始学习MQL5
在 MetaTrader 5 中使用自组织特征映射 （Kohonen 映射） 自组织特征映射 (SOM) 是一种人工神经网络，使用无监督学习方法来进行训练，从而形成训练样本输入空间的二维离散表示内容，称为映射。 这些映射类似于多维标度，适合用于实现高维数据低维表示的分类和可视化。该模型首先由芬兰教授 Teuvo Kohonen 作为人工神经网络提出，因此有时也被称为 Kohonen 映射。