Get Passive Income by Investing in Cryptocurrencies with Python!
Create a Python bot to automate cryptocurrency trading on Binance. He will do the task when you publish him to a server.
What you'll discover
Get Passive Income by Investing in Cryptocurrencies with Python!
1. Get to Know Python's Basics such as operators, for loop, class, objects, while loop, Data Types and Variables, and others.
2. Python Data Analysis With the Pandas Library
3. Algorithmic Trading Foundations
4. Using the Python-Binance Library to Connect Binance to Python and Place Several Order Types
5. Using Python and Pandas to compute profit, market deviation, quantity, and other metrics
6. Turning Pseudo Code into Python Code and Creating DCA Strategy
7. Utilizing classes and objects to build several trading bots, then running them concurrently with multiple processors.
8. Using Digital Ocean to Create a Virtual Server
9. Using Putty, establish an SSH connection to the server
10. Placing a bot on a server and having it run on that server
11. The Investment Technique of Dollar Cost Averaging
Description
In this course, there are eight major parts.
1. Python fundamentals
2. Python's Pandas Library for Data Analysis
3. Planning the Strategy
4. Python-based Algorithmic Trading with Binance
5. Construction of the Trade Bot
6. multiprocessing, such example simultaneous trading of many coin pairs
7. building a server on Digital Ocean, and running a bot on it
Python fundamentals
Python newbies should read this section. We are talking about the following subjects.
1. Setting up an IDE and installing Python
2. Use F Strings and Print Function
3. Python's Fundamental Data Types and Variables
4. Python operators
5. Functions in Python
6. Local and Global Variables in Python
7. Using Lists
8. Using dictionaries
9. Python's If Else Statements
10. Continue, Break, and While Statements
Eleven. For Loops
12. Python Classes and Objects
Python's Pandas Library for Data Analysis
A Python package designed for data analysis is called Pandas. This library is being used by us to do necessary FX calculations.
We are talking about,
Pandas, the series
Pandas Data Frames, second
Choosing Certain Columns and Rows in a Dataframe
Picking Rows from a Data Frame Based on Conditions
Iteratively Adding Columns to a Dataframe
Create the Strategic Plan
We'll be drawing out the concept for our selling bot in this part. Pseudo-codes are being used to develop the fundamental framework.
Python-Binance Algorithmic Trading
Setting up a Python connection to a Binance Spot Testnet Acct
We are developing features for our trading bot, such as Order Placing, Profit Calculation, Price Deviation Calculation, etc.
Making Current Positions Available in Pandas Data Frames
Construction of the Trade Bot
We are building the bot and connecting all the parts.
Multiprocessing
Our bot is being upgraded using classes and threading. He can then trade many coins at once after that.
building a server on Digital Ocean and running a bot on it
Our bot is being uploaded to a server. It will be left running indefinitely on the server and will bring in passive cash.
Who should take this course:
Those Who Are Looking for a Passive Income
Python enthusiasts in the financial sector
Investors and Traders in Cryptocurrencies
Anybody hoping to discover effective strategies for investing in cryptocurrencies.
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