MultiTrendLines

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 сигнал рассчитывается как число пересечений трендовых линий верх/вниз.

Абсолютное значение сигнала определяет потенциальную силу торгового сигнала на покупку/продажу.

Настраиваемые параметры:

  1. CustomPairs - строка символов через запятую;
  2. CustomPeriods - строка периодов через запятую;
  3. SignalsCurrenciesWindow - включить сигнал валютной силы;
  4. SignalsCorrelationsWindow - включить корреляционные сигналы;
  5. MethodTrendlinesCalculate - метод расчета ключевых точек трендовых линиий (0-на основе глубины трендовой линии;1-на основе ширины ценового экстремума)
  6. MethodSignalsCalculate - метод расчета торгового сигнала (0-1)
  7. ScaleWindows - масштаб сетки;
  8. DepthTrendline - глубина трендовой линии;
  9. AngleTrendline - коэффициент угла трендовой линии.


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    The FFx Dashboard MTF alerter will show you on a single chart all the timeframes (M1 to Monthly) with their own status for the indicator. 2 Alert Options: Single timeframe: each selected timeframe alert separately when a signal occurs Multi timeframes: all selected timeframes must agree for an alert to be triggered Both options have an input to select the timeframes to be used for the alert(s). How to understand the status: Green/Red square: ADX above level Grey square: ADX below level Red bor
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    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
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