Time series forecasting with machine learning.
The algorithm analyzes the cyclicality and price movement in the past. Based on the obtained analysis, a price channel is built using machine learning.
The boundaries of the price channel are the levels of support and resistance.
The price channel is constantly being optimized through the entry of new price data at every step.
The algorithm also shows the seasonality of prices during the day and during the week.
For example, now there is a seasonality that bitcoin often decreases on Sundays to Wednesdays and starts to rise from Thursday to Sunday. This is most likely due to the habits and work schedules of large traders in the market.
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