Aleksej Poljakov / Perfil
- Información
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9+ años
experiencia
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92
productos
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7
versiones demo
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6
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0
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In this article, we will examine how to build and apply Markov chains in market conditions: from selecting states and counting transitions to generating forecasts of trajectories and levels. We will also see how Markov chains can be applied to qualitative and quantitative data, ways to account for rare events, and the impact of the forecast horizon. Examples are provided using prices and indicators, as well as an option for evaluating a sequence of trades, with ready-to-use implementations in MQL5.
The article examines the practical application of finite differences in trading: types of differences, their relationship to price dynamics, and the binomial transform for noise filtering. The rules for encoding patterns based on difference levels and the application of these patterns to forecasting are described. This section presents naive, adaptive, and probabilistic approaches that help smooth time series, identify recurring patterns, and estimate future movements.
The article discusses the application of Walsh functions in trading. We will explore the basic principles of using these functions to analyze financial markets, forecast prices, and make trading decisions. We will also discuss the advantages and disadvantages of these functions, as well as the prospects for their application in trading and technical analysis.
Although the functions we will discuss have been known for quite some time, their application in the field of trading remains terra incognita to this day. In this article, we will explore some of the opportunities these old-but-new functions offer for developing trading strategies and assess their potential.
In this article, we will examine the application of mathematics to grid strategies. We will consider the basic principles of the strategy, as well as its advantages and disadvantages. You will learn how to build a trading grid, set optimal parameters, and manage risks effectively.
En este artículo se analiza la aplicación de los modelos Grey para la predicción de series temporales financieras. Analizaremos los principios de funcionamiento de los modelos Grey y las particularidades de su aplicación a las series financieras. Discutiremos las ventajas y las limitaciones del uso de estos modelos en el trading.
За первые сутки результатом доволен. Посмотрим, что будет дальше.
En este artículo exploraremos el modelo de Grey, una herramienta prometedora que puede ampliar las capacidades de los tráders. Asimismo, analizaremos algunas opciones para aplicar este modelo al análisis técnico y a la elaboración de estrategias de negociación.