In order to diversify trader's analysis tools CryptoForecast is rolling out a new web application on May 30. This release will feature Cryptolearning - the aggregation of 13 different forecasting algorithms. Another seasonality model will be introduced along with the algorithms - Autoregressive Integrated Moving Average (AIMA).
The algorithms will be used for chart generation and allows customization such as:
past time period used by an algorithm for an experimental forecasting;
History and Forecast
length of historical database selection
Timeframe and pairs
BTC/USD, ETH/BTC, ETH/USD, LTC/BTC, LTC/USD, XMR/BTC, XMR/USD, XRP/BTC, XRP/USD, DASH/USD, DASH/BTC
Cryptolearning will be fully manual at launch. And some detailed guidelines about each of the aggregated algorithms and how to better use all the tools (Pillar, Technical Analysis) will be published.
At the moment of publication, the market characteristics of CryptoForecast are as follows:
|Average price||0.006176 USD|
|Market cap||284,091 USD|