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How It Works
The main goal of Forex-Forecasting.com is to provide daily and intra-day high-quality predictions of FOREX market prices. You will receive currency predictions in a table/graphics format, based on five different time frames period (5 and 15 minutes, 1 hour, 1 day, and 1 month) along with the appropriate buy/sell signals.
Forex-Forecasting.com uses prediction algorithms initially developed for www.stock-forecasting.com and adapted for the Forex market.
You can access our service in two ways:
Online through our website.
Once you have created an account, you will receive access to the control panel and the tools we have to offer.
Using your favorite software, such as Metastock, Metatrader, and others.
You'll need to download and install the Forex-Forecasting plugin. Then, you can use our predictions in conjunction with the formulas and trading algorithms you already use.
Many samples of currency trends have a wave (or a non-periodic, oscillating) structure. This can be mathematically represented as a combination of the number of harmonics with unknown, changing frequencies and the trends’ amplitudes. Thus, information about these harmonics is very useful for both time-series forecasts (market price predictions) and decision support (buy/sell advice). However, ordinary analytical methods cannot be used to separate the variable parameter harmonics.
We have developed a special forecasting method for economic time-series based on our innovative and unique technology. Central to our method is the decomposition of both the trend and oscillatory components of the time-series with the help of digital filters. This special adaptive technique, based on neural networking, is used to update our models and detect days when the price time-series changes its properties (our "know-how").
In contrast to other methods, our technique can identify long-term trends and oscillations with changing frequencies while delivering much more convenient results than, for example, a Fourier analysis.You can read more about our method here:
Adaptive Harmonic Component Detection
Blind Deconvolution and Separation Signal Processing Adaptive Forecasting of Wave Non-Periodic Time Series