I am searching for an example to predict data with Tensorflow. I already tried some codes but I am a beginner in Tensorflow and Python. For example I predict a stock price by training and testing with old stock prices. Now I would like to integrate more than only the old stock prices, like trade volume, to predict future stock prices. How can I implement this?
Your question is very broad, so it's hard to give specific advice. If you're a beginner in python, I would not recommend Tensorflow as the place to start. I would assume that if you're using historical prices to predict future prices, then you're trying to make predictions as a time series? I'd recommend you check out the machinelearningmastery series on time series prediction.
Specifically to your question, here is a tutorial for many different models using multivariate inputs.
Once you get more comfortable with modeling, then I'd recommend you check out the notebooks from the machine learning competition site kaggle.com. They did a stock market prediction competition, and there are a lot of examples of different models people built to predict stock market returns within the parameters of the competition.