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ARIMA Trend Forecaster

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 accurately forecast a trend component behavior and to see potential market entry points. The indicator can be used either separately or in combination with other trading indicators or systems to improve the overall results of trading.


Adjustable Parameters

  • start_bar - bar to calculate the forecast for;
  • arima_length - the length of the time series for the calculation of the ARIMA autoregressive model;
  • trend_indicator - indicator type (from 0 to 3)
  • trend_period - indicator period;
  • predict_length - the length of the forecast;
  • arima_p - the order of the autoregressive part of the model;
  • arima_d - the order of the integrated part of the model;
  • arima_q - the order of the moving average;
  • bfgs_iter - the number of iterations in root optimization by the BFGS method.
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Currency Strength Exotics
Bernhard Schweigert
4.87 (30)
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Abdulkarim Karazon
Enigmera
Ivan Stefanov
5 (3)
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Vahidreza Heidar Gholami
5 (2)
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Bogdan Ion Puscasu
4.64 (36)
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Bernhard Schweigert
4.56 (9)
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Dynamic Forex28 Navigator
Bernhard Schweigert
5 (1)
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Alexey Minkov
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Paul Reymkhe
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Ahmed Farag
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Vahidreza Heidar Gholami
Meta Trend Indicator is an efficient way to forecast and detect the trend in any market. It reveals the trend, support and resistance levels, volatility and the maximum potential target, all in one indicator. To adapt to the price and to decrease consecutive trend failures, the internal trend detector algorithm studies the market and dynamically chooses the right values for the internal parameters. This indicator is a perfect trend filter for any strategy or expert advisor. Features Super Adapti
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Stefano Frisetti
5 (3)
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Bernhard Schweigert
4.8 (20)
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Kirill Borovskii
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PrecisionTradingSystems
5 (1)
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Bogdan Ion Puscasu
4.96 (25)
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Igor Pereira Calil
5 (1)
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4.59 (46)
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PZ TRADING SLU
3.67 (3)
该指标仅使用价格行为分析和donchian渠道以锯齿形检测价格反转。它是专门为短期交易而设计的,根本不需要重新粉刷或补漆。对于精明的交易者来说,这是一个绝佳的工具,旨在增加他们的运作时间。 [ 安装指南 | 更新指南 | 故障排除 | 常见问题 | 所有产品 ] 极易交易 它在每个时间段都提供价值 实施自我分析统计 它实现了电子邮件/声音/视觉警报 基于可变长度的突破和拥挤区域,该指标仅使用价格行为来选择交易并对市场快速做出反应。 显示过去信号的潜在利润 该指标分析其自身的质量和性能 突围的损失突出显示并解决 该指标是不可重涂和不可重涂的 该指标将帮助盘中交易者不要错过单个价格反转。但是,并非所有价格反转都是一样的,也不是具有相同的可行质量。决定要突破哪些突破而忽略哪些取决于交易者的良好判断。 如何解释统计数据 该指标研究其自身信号的质量,并在图表上绘制相关信息。将分析每笔交易,并在图表的左上角显示总体历史结果,这使您可以针对任何给定的工具和时间范围自行优化指标参数。每个乐器和时间表都有其自己的最佳设置,您可以自己找到它们。 最大优惠交易:对于任何给定的交易,MFE都是
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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
Biwavelet
Ilya Antipin
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
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
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版本 9.0 2018.04.16
Added parameter start_bar - bar to calculate the forecast for. This parameter allows testing the indicator on history data and finding the optimal parameters.
版本 8.0 2017.12.26
Fixed the indicator re-calculation when updating the chart.