Ilya Antipin / Venditore
Prodotti pubblicati
![MultiTrendLines](https://c.mql5.com/31/779/multitrendlines-logo-200x200-5747.png)
MultiTrendLines - мультивалютный индикатор для автоматизации графического анализа трендовых линий. Позволяет быстро выполнять трудоемкий анализ трендовой ситуации на рынке. Использует точные математические алгоритмы выделения ключевых точек рынка для извлечения трендовой струкртуры инструмента. За счет применения корреляционных сигналов можно улучшить симметричную оценку поведения инструмента. Включает в себя возможность точно задавать необходимый уровень глубины и угла трендовой линии. Основной
![Discrete wavelet transform](https://c.mql5.com/31/224/discrete-wavelet-transform-logo-200x200-2085.png)
The Discrete wavelet transform indicator is an enhanced implementation of the numerical and functional analysis for MetaTrader 4, the discrete wavelet transform method (DWT). The specific feature of DWT is the way the wavelet is represented in the form of a discrete signal (sample). DWT is widely used for filtering and preliminary processing of data, for analyzing the state and making forecasts for the stock and currency markets, for recognizing patterns, processing and synthesizing various sign
![ARIMA Trend Forecaster](https://c.mql5.com/31/216/arima-trend-forecaster-logo-200x200-7017.png)
The ARIMA Trend Forecaster indicator is designed for analyzing and forecasting the trend component of a financial instrument based on the integrated ARIMA autoregressive model. The ARIMA methodology aims at identifying the presence of unit roots and the order of time series integration. In financial markets, autoregressive models are used for working with price time series to predict future price points. The ARIMA Trend Forecaster indicator using all the advantages of the ARIMA method allows to
![Biwavelet](https://c.mql5.com/31/210/biwavelet-logo-200x200-4521.png)
Biwavelet is an indicator for harmonic forecast of the market based on one-dimensional wavelet transform functions. Wavelet transforms are one of the main tools of digital algorithmic trading. This is due to their ability to analyze and predict processes occurring in two independent basic dimensions - price and time. Wavelets have significant advantages over the Fourier transform, because wavelet transform allows evaluating not only the frequency spectrum of the price signal, but also the time a