Python for Algorithmic Trading and Data Analysis
Description
If you are interested in cryptocurrency and you want to learn python, this course is perfect for you. Take your Python skills to the next level by creating 8 cryptocurrency applications.
Please use this Referral Code 12351785 when creating an Binance account
Password for SourceCode.zip archive is the Referral Code, 12351785.
Project 1: Read Data from CoinMarketCap Public Api
Call data from an CoinMarketCap Public Api and display the result in a PrettyTable.
Project 2: Read Data from CoinMarketCap Private Api
You will learn how to create an free CoinMarketCap Private Api.
Call data from an CoinMarketCap Private Api and display the result in a PrettyTable.
Project 3: Write Data from Api to Excel File
Learn to store cryptocurrency information inside of excel workbooks using Python.
Project 4: Retrieving Data from Binance Public Api
Learn how to retrieve data from an Binance Api
Project 5: Cryptocurrency Price Alert
Exemple: If the price change in the last minute is bigger than +2% or -2% the coin will be displayed inside the table and if the price change is > than 3% the user be will notified with sound.
Project 6: Advanced Cryptocurrency Data Analysis
This program is available in the documentation of this course and it has about 400 rows of code that's why we are not going to write it and I am only going to explain you how it works and how you could use it.
Project 7: Pump & Dump Trading Bot
We are going to build step by step an simple Pump & Dump Trading Bot for Binance exchange. Do not use it with real money, only for educational purposes.
Project 8: Binance HotKeys Program
Trade cryptocurrencies at the press of a button.
This program is available in the documentation of this course and it has about 300 rows of code that's why we are not going to write it and I am only going to explain you how it works . Do not use it with real money, only for educational purposes.
Coming soon:
Simpler versions for projects 6 and 8 that we are going to build step by step.
Who is the target audience?
- Beginner python developer curious about cryptocurrency data analysis and algorithmic trading
- Anyone interested in getting real-time data from APIs
- Anyone interested in learning python by doing
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