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11+ années
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8
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1110
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8
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💎For METATRADER 5 https://www.mql5.com/en/market/mt5?Filter=alex2356
💎For METATRADER 4 https://www.mql5.com/en/market/mt4?Filter=alex2356
In the previous article, we considered application of Merrill patterns to various data, such as to a price value on a currency symbol chart and values of standard MetaTrader 5 indicators: ATR, WPR, CCI, RSI, among others. Now, let us try to create a strategy construction set based on Merrill patterns.
In this article, we will have a look at Merrill patterns' model and try to evaluate their current relevance. To do this, we will develop a tool to test the patterns and apply the model to various data types such as Close, High and Low prices, as well as oscillators.
HMA Trend robot for professional traders works with a set of Hull moving averages( HMA ). Advisor Parameters Use Trade Panel — Use the visual panel to configure and trade robot. Lot — Lot size for a market entry. Take Profit(points) — Take Profit for an open order. Stop Loss(points) — Stol Loss for an open order. Max Spread(0 - disabled) — Maximum allowable spread at which you can enter the market. 0 - disabled. Magic number — The magic number of the robot. EA
This robot operates based on the Parabolic SAR indicator. Verion for MetaTrader4 here . The advanced EA version includes the following changes and improvements: The EA behavior has been monitored on various account types and in different conditions (fixed/floating spread, ECN/cent accounts, etc.) The EA functionality has been expanded. Features better flexibility and efficiency, better monitoring of open positions. Works on both 4 and 5 digits brokers. The EA does not use martingale, grid or
There are multiple different approaches to market research and analysis. The main ones are technical and fundamental. In technical analysis, traders collect, process and analyze numerical data and parameters related to the market, including prices, volumes, etc. In fundamental analysis, traders analyze events and news affecting the markets directly or indirectly. The article deals with price velocity measurement methods and studies trading strategies based on that methods.
The article presents a new version of the Pattern Analyzer application. This version provides bug fixes and new features, as well as the revised user interface. Comments and suggestions from previous article were taken into account when developing the new version. The resulting application is described in this article.
The purpose of this article is to create a custom tool, which would enable users to receive and use the entire array of information about patterns discussed earlier. We will create a library of pattern related functions which you will be able to use in your own indicators, trading panels, Expert Advisors, etc.
In the previous article, we analyzed 14 patterns selected from a large variety of existing candlestick formations. It is impossible to analyze all the patterns one by one, therefore another solution was found. The new system searches and tests new candlestick patterns based on known candlestick types.
In this article, we will consider popular candlestick patterns and will try to find out if they are still relevant and effective in today's markets. Candlestick analysis appeared more than 20 years ago and has since become quite popular. Many traders consider Japanese candlesticks the most convenient and easily understandable asset price visualization form.
In this article, we will analyze the concept of correlation between variables, as well as methods for the calculation of correlation coefficients and their practical use in trading. Correlation is a statistical relationship between two or more random variables (or quantities which can be considered random with some acceptable degree of accuracy). Changes in one ore more variables lead to systematic changes of other related variables.
