Quote from: Whitly on January 04, 2020, 12:21:20 AM

Hello everyone,

Recently, I found some articles where people tried to predict prices using Deep Learning, only using data (Close Price, High Price, Low Price, Open Price, Volume) and the result was amazing :

Source: https://towardsdatascience.com/cryptocurrency-price-prediction-using-deep-learning-70cfca50dd3a

But if also add technical indicators to training data sets and the question is what indicators or sets of indicators should I use? (except RSI and MACD).

Also a few months ago, Kaggle (a platform that hosting machine learning competitions), had competition started by Two Sigma: "Two Sigma: Using News to Predict Stock Movements" that ended also "well".

Two Sigma provided 2 data sets:

Market data provided by Intrinio.
News data provided by Thomson Reuters.

So, all competitors have trading data for their neural networks.
Source: https://www.kaggle.com/c/two-sigma-financial-news

My question may sound stupid, but what news, posts, tweets, reports mostly affect at BTC price? Because the problem right now in training data and in weight for news.

I believe, that "symbiosis" of Neural Networks trained using data from past prices moves, technical indicators, and news, will create a powerful mechanism for profitable trading.
And it would be also cool to find enthusiasts, that think the same.

Most Deep Learning models now use old data from price charts to predict the market. However, we all see how news affect on traders/ users, especially newbie. It would be great if we can use these data, it would improve the model accuracy.