Aleksej Poljakov / プロファイル
- 情報
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9+ 年
経験
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92
製品
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7
デモバージョン
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6
ジョブ
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0
シグナル
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0
購読者
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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.
本記事では、金融時系列の予測におけるグレーモデル(Grey Model)の応用について解説します。まず、グレーモデルの基本的な仕組みを確認し、金融時系列への具体的な適用方法について説明します。また、トレーディングでこれらのモデルを利用する場合のメリットと限界についても考察します。
За первые сутки результатом доволен. Посмотрим, что будет дальше.
本記事では、トレーダーの分析能力を拡張する有望なツールであるグレーモデルについて解説します。また、このモデルをテクニカル分析や取引戦略構築に応用するためのいくつかの方法についても検討します。