Algorithmic Trading using Python

Algorithmic Trading means using algorithms in buying and selling decisions in the financial market. In an algorithmic trading strategy, a set of predefined rules are used to determine when to buy a financial instrument and when to sell it.

import pandas as pd
import plotly.graph_objs as go
from plotly.subplots import make_subplots
import plotly.express as px
import yfinance as yf

# Get Apple's stock data from yahoo finance
stock = yf.Ticker("AAPL")
data = stock.history(period="1y")
print(data.head())

# Calculation of momentum
data['momentum'] = data['Close'].pct_change()

# Creating subplots to show momentum and buying/selling markers
figure = make_subplots(rows=2, cols=1)
figure.add_trace(go.Scatter(x=data.index, 
                         y=data['Close'], 
                         name='Close Price'))
figure.add_trace(go.Scatter(x=data.index, 
                         y=data['momentum'], 
                         name='Momentum', 
                         yaxis='y2'))

# Adding the buy and sell signals
figure.add_trace(go.Scatter(x=data.loc[data['momentum'] > 0].index, 
                         y=data.loc[data['momentum'] > 0]['Close'], 
                         mode='markers', name='Buy', 
                         marker=dict(color='green', symbol='triangle-up')))

figure.add_trace(go.Scatter(x=data.loc[data['momentum'] < 0].index, 
                         y=data.loc[data['momentum'] < 0]['Close'], 
                         mode='markers', name='Sell', 
                         marker=dict(color='red', symbol='triangle-down')))

figure.update_layout(title='Algorithmic Trading using Momentum Strategy',
                  xaxis_title='Date',
                  yaxis_title='Price')
figure.update_yaxes(title="Momentum", secondary_y=True)
figure.show()

So this is how we can implement an Algorithmic Trading strategy using the momentum strategy. In the above graph, the buy and sell signals are indicated by green triangle-up and red triangle-down markers respectively.

Let me know what would you like me to analyse in this dataset further

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