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Wave analysis is one of the methods used in technical analysis. This article focuses on two less conventional wave patterns: triangular and sawtooth waves. These formations underpin a number of technical indicators designed for market price analysis.
Cet indicateur est principalement conçu pour le trading manuel. Il analyse les mouvements de prix récents et les traite grâce à son propre algorithme. À partir de cette analyse, l'indicateur calcule les niveaux de prix les plus importants. Ces niveaux divisent les cours en trois zones : achat, vente et neutre. Il est conseillé d'ouvrir de nouvelles positions uniquement si le prix se situe dans la zone correspondante. Si le prix se situe dans la zone neutre, il est conseillé d'envisager de
Cet indicateur est principalement conçu pour le trading manuel. Il analyse les mouvements de prix récents et les traite grâce à son propre algorithme. À partir de cette analyse, l'indicateur calcule les niveaux de prix les plus importants. Ces niveaux divisent les cours en trois zones : achat, vente et neutre. Il est conseillé d'ouvrir de nouvelles positions uniquement si le prix se situe dans la zone correspondante. Si le prix se situe dans la zone neutre, il est conseillé d'envisager de
This article considers the Rademacher and Walsh functions. We will explore ways to apply these functions to financial time series analysis and also consider various applications for them in trading.
This article is about orthogonal polynomials. Their use can become the basis for a more accurate and effective analysis of market information allowing traders to make more informed decisions.
Trends are an important part of many trading strategies. In this article, we will look at some of the tools used to identify trends and their characteristics. Understanding and correctly interpreting trends can significantly improve trading efficiency and minimize risks.
This article is about using cycles in trading. We will consider building a trading strategy based on cyclical models.
Cycles are of great importance in our lives. Day and night, seasons, days of the week and many other cycles of different nature are present in the life of any person. In this article, we will consider cycles in financial markets.
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.
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.