Using technical indicators as features, I use XGBRegressor from XGBoost library to predict future stock prices. — Let’s start with the imports. Imports import os
import numpy as np
import pandas as pd
import xgboost as xgb
import matplotlib.pyplot as plt
from xgboost import plot_importance, plot_tree
from sklearn.metrics import mean_squared_error
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split, GridSearchCV
# Time series decomposition
!pip install stldecompose
from stldecompose import decompose
# Chart drawing
import plotly as py
import plotly.io as pio
import plotly.graph_objects…
