This time you’ll build a basic Deep Neural Network model to predict Bitcoin price based on historical data. You can use the model however you want, but you carry the risk for your actions.
You might be asking yourself something along the lines:
Can I still get rich with cryptocurrency?
Of course, the answer is fairly nuanced. Here, we’ll have a look at how you might build a model to help you along the crazy journey.
Or you might be having money problems? Here is one possible solution:
Here is the plan:
Cryptocurrency data overview
Build and train LSTM model in TensorFlow 2
Use the model to predict future Bitcoin price
Our dataset comes from Yahoo! Finance and covers all available (at the time of this writing) data on Bitcoin-USD price. Let’s load it into a Pandas dataframe:
csv_path = "https://raw.githubusercontent.com/curiousily/Deep-Learning-For-Hackers/master/data/3.stock-prediction/BTC-USD.csv
df = pd.read_csv(csv_path, parse_dates=['Date'])
df = df.sort_values('Date')
Note that we sort the data by Date just in case.
Fore More info:https://towardsdatascience.com/cryptocurrency-price-prediction-using-lstms-tensorflow-for-hackers-part-iii-264fcdbccd3f