Post
Topic
Board Trading Discussion
Topic OP
Using deep learning for predicting price.
by
Whitly
on 04/01/2020, 00:21:20 UTC
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 :


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.