Hey everyone, this is my code for predicting stock market prices using SVR. I am using the historical data from investing.com. But for some reason the historical prices are appearing weirdly in the graph. Can anyone help rectify this?

```
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.svm import SVR
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
companies = ['AAPL Historical Data', 'GOOGL Historical Data', 'MSFT Historical Data', 'NVDA Historical Data', 'IBM Historical Data']
predictions = {}
for company in companies:
# Load the company stock data
df = pd.read_csv(f'{company}.csv')
df = df.sort_values('Date')
# Calculate the number of days from the start
df['Date'] = pd.to_datetime(df['Date'])
df['Date'] = (df['Date'] - df['Date'].min()).dt.days
# Prepare the features (Date) and target (Close price)
X = df['Date'].values.reshape(-1,1)
y = df['Price'].values
# Standardize the features and target
scaler_X = StandardScaler().fit(X)
scaler_y = StandardScaler().fit(y.reshape(-1,1))
X = scaler_X.transform(X)
y = scaler_y.transform(y.reshape(-1, 1)).ravel()
# Split the data into training and testing sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
# Create and train the Support Vector Machine (Regressor)
svr_rbf = SVR(kernel='rbf', C=1e3, gamma=0.1)
svr_rbf.fit(X_train, y_train)
# Test the model
svr_rbf_confidence = svr_rbf.score(X_test, y_test)
print(f"svr_rbf confidence for {company}: ", svr_rbf_confidence)
# Predict the future stock prices (Next 6 months, 30 days/month)
x_forecast = np.array(list(range(max(df['Date']), max(df['Date'])+180))).reshape(-1,1)
x_forecast = scaler_X.transform(x_forecast)
forecast_result = svr_rbf.predict(x_forecast)
forecast_result = scaler_y.inverse_transform(forecast_result)
predictions[company] = forecast_result
# Plot the prediction
plt.figure(figsize=(12,6))
plt.plot(df['Date'].values, df['Price'].values, color='blue', label='Historical Close price')
plt.plot(list(range(max(df['Date']), max(df['Date'])+180)), forecast_result, color='red', label='Future Close price')
plt.title(f'{company} Stock Price Prediction')
plt.xlabel('Days from start')
plt.ylabel('Stock Price (Price)')
plt.legend()
plt.show()
```

The results I get are:

and so on for the other 4 companies

I am not allowed to upload more than 1 image but hope y’all can understand what is wrong