"Have you ever missed the timing to buy or sell virtual currency and suffered a loss?"

Manual trading often results in missed opportunities and can be stressful.
The solution to such problems isAutomated trading BOTAnyone can easily build it using Python.
In this article, we will explain how to automate cryptocurrency trading using API integration.Carefully explained so that even beginners can understandI will.

I tried making an "automated trading BOT" with Python [cryptocurrency x API integration]

Understand what an automated trading bot is

Conclusion: An automated trading bot is a program that automatically buys and sells virtual currency according to pre-set conditions.

Basic role of automated trading bot

Constantly monitor the market without the need for human judgment
Automatically executes "buying" and "selling" according to conditions
Emotion-free trading possible

Actual usage scenario

Trading is possible even during late nights and busy times
Reduce risk by automatically setting stop loss and take profits

Introducing a BOT will increase your chances of making profits efficiently.

Why create an automated trading bot using Python?

Conclusion: Python is an ideal language for creating BOTs due to its simple syntax and rich libraries.

Why Python?

Easy API integration
Strong in mathematical processing and data analysis
Extensive documentation and learning resources

Comparison with other languages

Development time is shorter than with C++ or Java
Advanced functionality can be achieved with a small amount of code

PythonA popular language used by beginners and advanced learners alikeis.

Basics of API integration and selection of cryptocurrency exchanges

Conclusion: For automated trading, you need to use the exchange's API to obtain and send price and order information.

What is an API?

Abbreviation for "Application Programming Interface"
Bridging the gap between services and programs

Popular exchange APIs

Binance: Not available in Japanese but has many features
Bybit: Beginner-friendly UI
bitFlyer: A reliable Japanese exchange

Public cryptocurrency exchange information:
List of registered businesses with the Financial Services Agency

Libraries and environment required for BOT construction

Conclusion: Anyone can create a BOT using Python and a few libraries.

Development environment

Python (3.7 or higher recommended)
Editor: VSCode etc.

Required Libraries

requests(Communication with API)
time(Time manipulation)
json(Data Processing)

Environment setup flow

Install Python
Install required libraries with pip
Get and save your API key

Automated trading BOT implementation procedure and explanation

Conclusion: By creating the code in the following order, the BOT will work.

Implementation Steps

Log in to the exchange with your API key
Get prices regularly
Place buy or sell orders depending on the conditions
Save the results to a log

Important points to note

Never disclose your API key to anyone.
Try it in a test environment to prevent erroneous orders

Let's automate trading with the completed code

Conclusion: With the completed code below, you can run a basic automated trading bot.

Common errors and troubleshooting

Conclusion: Errors will occur depending on the API specifications and communication environment, but you won't have to worry if you know how to deal with them.