Trading_with_CNN.py

# Import libraries
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from keras.models import Sequential
from keras.layers import Conv1D, MaxPooling1D, Flatten, Dense

# Load and preprocess the data
data = pd.read_csv('trading_data.csv')

# Perform data preprocessing steps as per your requirements
# Split the data into training and testing sets
train_data = data.loc[data['date'] < date_to_split]
test_data = data.loc[data['date'] >= date_to_split]

# Define the input and output variables
x_train = train_data[['feature1', 'feature2', 'feature3']].values
y_train = train_data['target'].values
x_test = test_data[['feature1', 'feature2', 'feature3']].values
y_test = test_data['target'].values