Some of you may have seen my latest webinar video playback from last night on Jul 2. I just added another video to my Youtube channel demonstrating a new data set of data from another technical assistance Python package found below. I also have new sorting criteria for optimal trading opportunity as well.
Here are the benefits
These include a new range of trend and momentum criteria which is added to the spreadsheet I show. I also add this to my sorting criteria which already included volume, and volatility. I am hoping this this new sorting criteria will make the chosen crypto pairs more optimal for trading opportunity.
Easy way to measure slope of a trend of crypto currency
Why linear regression?
Easiest way to calculate slope of a line. This uses linear regression as in the Stackoverflow example provided. Do understand this is another way of measuring the slope of the trend lines I like to look at in my cryptocurrency data. You should know I like this indicator for my cryptocurrency analysis and scanning since it is the most reliable.
Note that I like the answer from Salvador Dali in this link
Timeframe and trend matter when crypto currency algo trading with Bitcoin
I am implementing my various charts for crypto currency algo trading from Binance. Also, I have been transform the one generate from Dukascopy. As a result, video to focus on Bitcoin/US dollar to show the important factors to look for to see if it is worth trading. As you will see, timeframe and general trend matter.
What I find
I also identified the dates axis needs to be corrected as well as the amount of data I chart. I think the hourly is fine as is but the monthly will need to be corrected. The yearly is sort of useless since the coin pair may not have been out long enough to make to useful. I will keep this timeframe within this Python script.
I have got a popular posting that I forgot about which is from my early days of my site. It’s quite important and lengthy. It talks about the various algorithmic techniques you can use for trend detection in the markets.