Cryptocurrency Investing With Python | Earn Passive Income !

Code your own Bot with Python to Automate Crypto Investing in Binance. Upload Him to a Server and He Will Do the Rest !

What you'll learn

Learn the Fundamentals of Python (Variables and Data Types, Operators, For Loops, While Loops, Objects and Classes etc )

Data Analysis With Pandas Library in Python

Fundamentals of Algorithmic Trading

Connecting Binance with Python Using Python-Binance Library and Placing Different Types of Orders

Calculating Profit, Market Deviation, Quantity ect with Python and Pandas

Building DCA Strategy Using Psudo Code and Converting into Python Code

Creating Multiple Trading Bots Using Classes and Objects and Run Them Parallelly with Multi Processing

Creating a Virtual Server with Digital Ocean

Establishiment of SSH Connection with the Server by Using Putty

Uploading Bot into the Server and Running in the Server

The Dollar Cost Averaging Method in Investing ( Placing Orders at Different Price Levels , Calculating the Profit )

Requirements

You need a Desktop / Laptop with Stable Internet Connection

I Will be Providing All the Fundamental Knowledge in Python and Pandas. So You do not Need any Prior Knowledge.

Curious and Interested Participants are More Likely to Benefit from this Course

Description

There are 8 main sections in this courseBasics of PythonData Analysis with Pandas Library in PythonBuilding the Strategy PlanAlgorithmic Trading with Python-BinanceBuilding the Trading BotMultiprocessing ( Trading Multiple Coin Pairs Simultaneously )Creating a Digital Ocean Server and Running bot in that Server Basics of Python -This section is for absolute beginners in python. We are discussing about following topics.Installing Python and Setting up IDEPrint Function and F StringsVariables and Basic Data Types in PythonOperators in PythonPython FunctionsGlobal and Local Variables in PythonWorking with ListsWorking with DictionariesIf Else Statements in PythonWhile Loops, Break and Continue StatementsFor LoopsClasses and Objects in PythonData Analysis with Pandas Library in PythonPandas is a Python library created for data analysis. We are using this library to do essential forex calculations.We are discussing about,Pandas SeriesPandas Data FramesSelecting Specific Rows and Columns in a DataframeSelecting Rows in a Data Frame by ConditionsIterating Colums in a DataframeBuilding the Strategy PlanIn this section, we will be designing blue print of our trading bot. We are building the basic structure with psudo-codes.Algorithmic Trading with Python-BinanceConnecting Binance Spot Testnet Account with PythonWe are creating functions of our trading bot(Functions for Placing Orders, Calculate the Profit, Calculate the Deviation of the Price etc )Adding Current Positions into Pandas Data FramesBuilding the Trading BotWe are putting all the functions together and assembling the botMultiprocessingWe are Upgrading our Bot with Classes and Threading. After that He Can Trade Multiple Coins at the Same Time.Creating a Digital Ocean Server and Running bot in that Server We are uploading our bot to a server. it will run continuously in the Server and generate a passive income.

Overview

Section 1: Introduction

Lecture 1 Introduction and Course Content

Section 2: Basics of Python Programming for Beginners

Lecture 2 Installing Python and Setting up IDE

Lecture 3 Print Function and F Strings

Lecture 4 Variables and Basic Data Types in Python

Lecture 5 Operators in Python

Lecture 6 Python Functions

Lecture 7 Global and Local Variables in Python

Lecture 8 Working with Lists

Lecture 9 Working with Dictionaries

Lecture 10 If Else Statements in Python

Lecture 11 While Loops, Break and Continue Statements

Lecture 12 For Loops

Lecture 13 Classes and Objects in Python

Section 3: Data Analyzing with Pandas Library in Python

Lecture 14 Pandas Series

Lecture 15 Pandas Data Frames

Lecture 16 Selecting Specific Rows and Columns in a Dataframe

Lecture 17 Selecting Rows in a Data Frame by Conditions

Lecture 18 Iterating Colums in a Dataframe

Section 4: The Strategy

Lecture 19 Introduction to The Strategy

Lecture 20 Building the Blueprint of The Strategy Part 1

Lecture 21 Building the Blueprint of The Strategy Part 2

Section 5: Binance Algorithmic Trading with Python

Lecture 22 Connecting Binance Spot Testnet with Python

Lecture 23 Live Streaming Current Price of a Currency Pair

Lecture 24 Buying and Selling Coins at Market Price

Lecture 25 Recording Past Trades into Pandas DataFrame

Lecture 26 Calculate Deviation of Current Price from Initial Price

Lecture 27 Calculate the Percentage Profit

Lecture 28 Selling Previously Bought Coins in the DataFrame

Section 6: Assembling the Trading Bot

Lecture 29 Assembling the Trading Bot Part 1

Lecture 30 Assembling the Trading Bot Part 2

Lecture 31 Finalizing the Bot and Live Testing

Section 7: Trading Multiple Coins Simultaneously with Threading and Multiprocessing

Lecture 32 Trading Multiple Coins Simultaneously - Classes

Lecture 33 Trading Multiple Coins Simultaneously - Objects and Threading

Section 8: Creating Digital Ocean Server and Uploading Bot

Lecture 34 Creating the Server

Lecture 35 Connecting to the Server with Putty

Lecture 36 Installing Pandas and Python-binance in the Server

Lecture 37 Uploading Bot into the Server

Section 9: Download the Final Trading Bot Here

Lecture 38 Instructions

Those Who are Interested in a Passive Income,Those Who are Interested in Python in Finance,Cryptocurrency Traders and Investers,Anybody expecting to learn Profitable Crypto Investing Strategies