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Trading automation bot (chatbot) implemented in Python

In this lesson, we will create a program that creates a logic that can generate profits, buys and sells Bitcoin through an exchange according to that logic, and receives the results of the transaction via Telegram.

(4.5) 24 reviews

249 learners

  • austinpatek
3시간 만에 완강할 수 있는 강의 ⏰
Python
Chatbot

Reviews from Early Learners

What you will learn!

  • Implementing a Bitcoin Trading Bot

  • Developing a trading strategy that is free from emotions

  • Gopax Exchange Registration and Authentication

  • Interpreting candlestick charts and using moving averages

  • Implementing automated trading logic using Python

  • Integration of trade notifications via Telegram

  • Trading strategy using RSI indicator

  • Backtesting using historical data

Let's create a bot that automatically trades using Python!

The first half of 2018 saw a massive decline for most coins, including Bitcoin. Holding onto coins during this time would have resulted in losses of over 90%. The most important thing in investing is to sell at the right time to maximize profits. While emotions can make it difficult for people to buy and sell at the right time, programs, lacking emotions, are able to buy and sell at a set time .

bitcoin_img3

In this lecture, we'll create a program that creates profitable logic, buys and sells Bitcoin through an exchange, and receives the transaction results via Telegram. We'll also create backtesting logic to verify that the logic is actually profitable by reverting to a previous point in time.


Learn this 📖

Gopax subscription, API
Issuance, familiarize yourself with the basic rules

Establishing a trading strategy

Writing trading logic

Telegram bot
Send results

📢 Please check before taking the class!

  • OS - Windows, Mac, Linux
  • IDE used during lectures - Pycharm
  • Language - Pythoon3.x
  • Required libraries (must be installed using pip3)
    • pip install requests
    • pip install python-telegram-bot
    • pip install talib
    • pip install numpy

Introducing the Knowledge Sharer 🖋️

Lee Kun-hee
I'm a developer who develops without reservation, regardless of what's needed. While developing at Dow Technology, I created the back office, and now I'm developing and operating a company called InvestCrypto with great people.

Recommended for
these people

Who is this course right for?

  • Anyone interested in cryptocurrency trading

  • Anyone who wants to build an automated trading system

  • Beginners who want to learn Python programming

  • Anyone who wants to implement a real trading strategy

  • For those who want to learn how to use the exchange API

  • Anyone who wants to build a real-time transaction notification system

Hello
This is

249

Learners

24

Reviews

23

Answers

4.5

Rating

1

Course

Curriculum

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18 lectures ∙ (1hr 49min)

Published: 
Last updated: 

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24 reviews

4.5

24 reviews

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