This Forecast was done using Machine Learning (Data Decomposition & Trend-Seasonality Analysis). As you can see, the model predicted ETH going down to 1491$ in July before it could rise again.
This is what my algorithm predicts for BTC-USD in the next 30 days. Based on this, we will hit 30k around January 28th.
I used fbprophet, and the training data was on a 1-hour time frame.
Before the recent big dips caused by the fed news, the algorithm showed very appealing results. But now, hitting 30k is likely to happen.
Predicting ETH price for the next 30 days by using Facebook prophet in a simple manner.
Black dots represent reality, red lines are the changepoints in the trend, and the blue line is the prediction.
Here is the code:
###################
import pandas as pd
from fbprophet import Prophet
df.rename(columns={'Date': 'ds', 'Price (Close)': 'y'}, inplace=True)
df...
Predicting BTC price for the next 30 days by using neural prophet in a simple manner.
Black dots represent reality, and the blue line is the prediction.
Here is the code:
if 'google.colab' in str(get_ipython()):
!pip install neuralprophet
import pandas as pd
df = pd.read_csv("BTC.csv")
df.rename(columns={'Date': 'ds', 'Price (Close)': 'y'},...
