Automated Trading Development, Kiwoom Securities API, Hello PyQt

Hello, blog readers! Today, we will take a closer look at how to develop an automated trading system using the Kiwoom Securities API with Python, as well as Hello PyQt for GUI development. Stock automated trading is an appealing topic for many investors, and it can help us make better investment decisions.

Table of Contents

1. Overview of the Automated Trading System

An automated trading system is a system that automatically performs trades based on specific conditions. This allows traders to eliminate emotions and consistently execute predetermined strategies.

1.1 Advantages of Automated Trading

  • Emotion Elimination: Trading decisions are not influenced by emotions
  • Rapid Transactions: Ability to respond immediately to market changes
  • Continuous Monitoring: Ability to monitor the market 24/7
  • Investment Strategy Consistency: Trades are executed consistently based on set strategies

1.2 Components of an Automated Trading System

  • Data Collection Module: Collects data such as prices and trading volumes
  • Signal Generation Module: Algorithm that generates trading signals
  • Execution Module: Executes actual trades based on the signals
  • Monitoring and Reporting: Monitors trading results and provides reporting functions

2. Introduction to the Kiwoom Securities API

The Kiwoom Securities API is a program interface provided by Kiwoom Securities that supports users in automating online stock trading. Through this API, users can programmatically perform real-time queries of stock data and execute trading orders.

2.1 Features of the Kiwoom Securities API

  • Real-time Data: Ability to check real-time stock prices and orders
  • Order and Execution: Ability to verify trading orders and execution history
  • Error Handling: Provides various error handling features related to trading

2.2 Procedure for Using the Kiwoom Securities API

  1. Open a Kiwoom Securities account and apply for the API
  2. Set up the API integration environment
  3. Install and integrate Python libraries

3. Setting Up the Python Environment

To develop an automated trading program, you first need to set up the Python environment. Below are the required packages and installation methods.

3.1 Install Required Packages

pip install pyqt5
pip install kiwoom

3.2 Write API Integration Code

Now, let’s write the code to integrate the Kiwoom Securities API with Python.

from PyQt5.QtWidgets import QApplication
from Kiwoom import Kiwoom

app = QApplication([])
kiwoom = Kiwoom()
kiwoom.CommConnect()  # Login connection

4. Implementing Basic Automated Trading Logic

Now, let’s implement basic automated trading logic. This example will be based on a simple moving average crossover strategy.

4.1 Explanation of Moving Average Crossover Strategy

The moving average crossover strategy involves buying when the short-term moving average crosses above the long-term moving average and selling when it crosses below.

4.2 Implementation Example

import pandas as pd

def moving_average(data, window):
    return data.rolling(window=window).mean()

def trade_logic(df):
    df['SMA10'] = moving_average(df['Close'], 10)
    df['SMA50'] = moving_average(df['Close'], 50)

    if df['SMA10'].iloc[-1] > df['SMA50'].iloc[-1]:
        print("Buy signal generated")
        # Write order code here
    else:
        print("Sell signal generated")
        # Write order code here

# Example of data collection
# df = kiwoom.GetStockData("005930")  # Samsung Electronics
# trade_logic(df)

5. GUI Development Using PyQt

Now, let’s develop a GUI to add a user interface. PyQt is a library that makes it easy to develop GUIs in Python.

5.1 Basic Example of PyQt

from PyQt5.QtWidgets import QWidget, QVBoxLayout, QPushButton

class MyWindow(QWidget):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("Automated Trading System")
        self.setGeometry(100, 100, 300, 200)

        layout = QVBoxLayout()
        self.start_button = QPushButton("Start Automated Trading")
        self.start_button.clicked.connect(self.start_trading)
        
        layout.addWidget(self.start_button)
        self.setLayout(layout)

    def start_trading(self):
        print("Starting automated trading...")

app = QApplication([])
window = MyWindow()
window.show()
app.exec_()

5.2 Integrating GUI and Automated Trading Logic

We will write integration code to ensure the automated trading system operates when the button is clicked in the GUI.

def start_trading(self):
    df = kiwoom.GetStockData("005930")  # Samsung Electronics
    trade_logic(df)

6. Real-World Applications and Conclusion

Now let’s look at a real-world application of the automated trading system. You can select the most suitable strategy among various strategies and proceed with actual investments. It is important to always adapt your strategy flexibly to market changes.

6.1 Conclusion

In this tutorial, we learned about developing an automated trading system using Python, the Kiwoom Securities API, and GUI development using PyQt. Based on this knowledge, we hope you can build a more sophisticated automated trading system. Wishing you successful investment outcomes!