Aleksej Poljakov / Profile
- Information
7+ years
experience
|
90
products
|
6
demo versions
|
6
jobs
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0
signals
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0
subscribers
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Циклы имеют большое значение в нашей жизни. День и ночь, времена года, дни недели и множество других циклов разного характера и разной природы присутствуют в жизни любого человека. В этой статье мы попробуем рассмотреть циклы на финансовых рынках.
Specification quality | 5.0 | |
Result check quality | 5.0 | |
Availability and communication skills | 5.0 |
Specification quality | 5.0 | |
Result check quality | 5.0 | |
Availability and communication skills | 5.0 |
Specification quality | 5.0 | |
Result check quality | 5.0 | |
Availability and communication skills | 5.0 |
In this article, we will make an attempt to develop our own trading strategy. Any trading strategy must be based on some kind of statistical advantage. Moreover, this advantage should exist for a long time.
This article will cover angle-based operations. We will look at methods for constructing angles and using them in trading.
In this article, we will look at the use of a trailing stop in trading. We will assess how useful and effective it is, and how it can be used. The efficiency of a trailing stop largely depends on price volatility and the selection of the stop loss level. A variety of approaches can be used to set a stop loss.
Specification quality | 5.0 | |
Result check quality | 5.0 | |
Availability and communication skills | 5.0 |
Specification quality | 5.0 | |
Result check quality | 5.0 | |
Availability and communication skills | 5.0 |
Stop loss and take profit can have a significant impact on trading results. In this article, we will look at several ways to find optimal stop order values.
In this article, we will consider pair trading, namely what its principles are and if there are any prospects for its practical application. We will also try to create a pair trading strategy.
In this article, we will consider one of the methods of spectral analysis and signal processing - the discrete Hartley transform. It allows filtering signals, analyzing their spectrum and much more. The capabilities of DHT are no less than those of the discrete Fourier transform. However, unlike DFT, DHT uses only real numbers, which makes it more convenient for implementation in practice, and the results of its application are more visual.
We will look at several new ways of building money management systems and define their main features. Today, there are quite a few money management strategies to fit every taste. We will try to consider several ways to manage money based on different mathematical growth models.
This indicator is designed to determine the time of the greatest trading activity within a day. After this calculation, the indicator builds the most significant trading levels. Comparing these levels with actual price action can provide information about the strength and direction of market trends. Features of the indicator Timeframe must be below D1. Recommended timeframes: M15, M30 and H1. Timeframes above H1 can give a very rough picture. And the use of timeframes below M15 can lead to
This indicator is designed to determine the time of the greatest trading activity within a day. After this calculation, the indicator builds the most significant trading levels. Comparing these levels with actual price action can provide information about the strength and direction of market trends. Features of the indicator Timeframe must be below D1. Recommended timeframes: M15, M30 and H1. Timeframes above H1 can give a very rough picture. And the use of timeframes below M15 can lead to
This article is about moral expectation. We will look at several examples of its use in trading, as well as the results that can be achieved with its help.
In this article, I will make an attempt to consider some ways of building non-linear indicators and their use in trading. There are quite a few indicators in the MetaTrader trading platform that use non-linear approaches.
In this article, I will consider several possible approaches to creating adaptive indicators. Adaptive indicators are distinguished by the presence of feedback between the values of the input and output signals. This feedback allows the indicator to independently adjust to the optimal processing of financial time series values.