Yu Zhang / Perfil
- Informações
8+ anos
experiência
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60
produtos
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10
versão demo
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0
trabalhos
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0
sinais
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0
assinantes
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And I have done a lot of academic research on financial markets.
From 2012, I work as a Quant.
Forex, stock and futures are my main trading varieties.
I can use MQL4, MQL5, C++, MySql, and Python.
1. What is this Due to the limitation of MT5 software, we can only see the minimum 1-minute candlestick chart. Sometimes this is not enough for high-frequency traders, or we want to see a more detailed candlestick chart. This tool allows you to see: A candlestick chart composed of N seconds, which allows you to better understand the price fluctuations. For example, each candle line has 20 seconds, or 30 seconds. 2. Parameters: SecondCandle = 20; // The second
1. What is this Due to the limitation of MT5 software, we can only see the minimum 1-minute candlestick chart. Sometimes this is not enough for high-frequency traders, or we want to see a more detailed candlestick chart. This tool allows you to see: A candlestick chart composed of N ticks, which allows you to better understand the price fluctuations. For example, each candle line has 20 ticks, or 70 ticks. 2. Parameters: NTick = 70; // The tick cnt for
1. What is this Many of the EA's on the market have cheats inside to optimize its money curve, which results in the buyer wasting money and effort and buying a junk EA . This tool is an effective tool for detecting whether an EA is cheating by allowing the data to be panned to the left for 28 years. 2. How to use a. Load it and it will generate a new symbol, usually it will be named with a suffix. For example, EURUSD --> EURUSD_28year. b. If your want to test one EA, you should
1. What is this This is a trend strategy about capture trend pullbacks. It can trade major currency pairs: EURUSD, GBPUSD, AUDUSD. It is not a scalping model, nor does it use Martingale's money management model. This strategy is a trend strategy, it is a high profit-loss ratio strategy. 2. Related instructions The timeframe is unlimited, I advice your add it to EURUSD PERIOD_M15. It works with Hedge accounts. Its internal strategy logic has been set, and only fund management is
1. What is this This is a trading strategy about the market forming a box and then breaking out. It can trade major currency pairs and gold: EURUSD, GBPUSD, AUDUSD, NZDUSD, USDJPY, USDCAD, USDCHF, XAUUSD. It is not a scalping model, nor does it use Martingale's money management model. This strategy is mainly for steady profits. 2. Related instructions The timeframe is PERIOD_M30. It works with Hedge accounts. Its internal strategy logic has been set, and only fund management is opened for
1. What is this This is a tool used to display the balance curve in real time. The historical orders of the MT5 software are only tabular, and it looks troublesome when you have a lot of orders. This program can draw your historical trading orders in the form of a capital curve graph. This way you can see at a glance how well you are trading and where you are going wrong. At the same time, although the MT5 strategy backtest has a capital curve, it does not match the price one by one. So it is
1. What is this The MT5 system comes with very few optimization results. Sometimes we need to study more results. This library allows you to output more results during backtest optimization. It also supports printing more strategy results in a single backtest. 2. Product Features The results of the optimized output are quite numerous. CustomMax can be customized. The output is in the Common folder. It is automatically named according to the name of the EA, and the name of the same EA will be
1. What is this Rising volatility and falling volatility are not the same, whether it is academic research or actual testing has shown this point. The original ATR indicator is calculated by putting up and down fluctuations together. This indicator is to calculate separately the upward volatility and the downward volatility, which can better help you study the market. 2. Indicator description There are two
1. What is this Rising volatility and falling volatility are not the same, whether it is academic research or actual testing has shown this point. The original ATR indicator is calculated by putting up and down fluctuations together. This indicator is to calculate separately the upward volatility and the downward volatility, which can better help you study the market. 2. Indicator description There are two
1. What is this. This is a very rigorous indicator to show different market trading sessions. It shows the main markets: NewYork, London, Frankfurt, Sydney, Wellington, Tokyo. Very important: Different markets have different start and end dates for daylight saving time, and the trading session of a market can vary depending on daylight saving time and winter time. Also, the daylight saving time system is different for
1. What is this. This is a very rigorous indicator to show different market trading sessions. It shows the main markets: NewYork, London, Frankfurt, Sydney, Wellington, Tokyo. Very important: Different markets have different start and end dates for daylight saving time, and the trading session of a market can vary depending on daylight saving time and winter time. Also, the daylight saving time system is
1. What is it The classic Bollinger Bands and the Bollinger Bands indicator built into the system, they have the same mean period and deviation period. And the method of average is just the simple moving average method. The deviation method used is just the standard deviation method. All this limits our research because: Sometimes we would like to have longer period averages + shorter period deviations. Sometimes we want moving averages that are not limited to simple
Este artigo descreve a construção do R² - critério de otimização personalizado. Esse critério pode ser usado para estimar a qualidade da curva de saldo de uma estratégia e para selecionar as estratégias mais consistentes e lucrativas. O trabalho discute os princípios de sua construção e os métodos estatísticos utilizados na estimativa de propriedades e qualidade desta métrica.
Antes de lançar um robô em uma conta de negociação, geralmente nós realizamos testes e otimizações no histórico das cotações. No entanto, surge uma pergunta razoável: como os resultados passados podem nos ajudar no futuro? O artigo descreve a aplicação do método de Monte Carlo para construir critérios personalizados para a otimização da estratégia de negociação. Além disso, são considerados os critérios de estabilidade do EA.
Neste ativo, vou discutir como, "cruzando" uma estratégia muito importante e uma rede neural, é possível se envolver com sucesso na negociação. Falaremos sobre a estratégia "Sequential" de Thomas DeMarker com o uso de sistemas de inteligência artificial (IA). O trabalho será APENAS segundo a primeira parte da estratégia, utilizando os sinais "Instalação" e "Interseção".
Este artigo sugere uma variável de um sistema adaptativo que consiste em várias estratégias, cada uma realizando suas operações de negociação "virtuais". Negociações reais são realizadas de acordo com os sinais da estratégia mais rentável no momento. Obrigado por utilizar a abordagem orientada a objeto, classes para trabalhar com dados e classes de negociação da biblioteca padrão, a arquitetura do sistema pareceu ser simples e escalável; agora você pode facilmente criar e analisar os sistemas adaptativos que incluem centenas de estratégias de negociação.