I found out that neural networks (NN) have been broadly used to predict Bitcoin (or other cryptocurrency) prices. The common approach is to use historic price data to train the NN. When I did this, I run into troubles in times of high volatility when there is a huge jump or a crash. And this was the problem everybody else run into using ONLY historic price data.
To solve this problem I used a second NN to quantify the news to get a sentiment which I also included for the price prediction. At the moment I am using headlines and started also including tweets from twitter.
I would like to know what you think about this approach. If you are interested in this method I would be more than happy if You visited my Blog about this topic
BR, O.
To solve this problem I used a second NN to quantify the news to get a sentiment which I also included for the price prediction. At the moment I am using headlines and started also including tweets from twitter.
I would like to know what you think about this approach. If you are interested in this method I would be more than happy if You visited my Blog about this topic
BR, O.
Yes it is true,that news a bout crypto currency,currenct events,blogs media,is some source to quantify the swinging of bitcoin price,and that kind of information is very useful to us,especially those traders who want to gain a good profit.news is so important to our daily life because of this we know the different happen to our country especially to the current event of crypto currency,by there givin information we become knowledgeable about the bitcoin world and find the perfect timing,to when we sell or buy our bitcoin in process of trading investment.