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    SpicyMags.xyz

    Algorithmic Trading With Python Complete Course

    Posted By: ELK1nG
    Algorithmic Trading With Python Complete Course

    Algorithmic Trading With Python Complete Course
    Published 11/2023
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 5.91 GB | Duration: 10h 33m

    Most Comprehensive Algorithmic Trading Course

    What you'll learn

    Python for Algo Trading including Pandas

    Learn to Develop Trading Bots

    Use Zerodha Kite Connect API for Algo Trading

    Create Technical Indicators using python

    Develop and Backtest Algo Trading Strategies

    Requirements

    Basics of Stock Market/ Trading

    Beginner level programming skills

    Description

    Welcome to our most comprehensive course, "Algorithmic Trading using Python," where you will embark on a transformative journey into the world of algorithmic trading. This course is designed to provide you with a solid foundation in both Python programming and algorithmic trading strategies, catering to beginners and experienced developers alike.The course begins with a thorough exploration of Python's Object Oriented Programming (OOP) to equip you with the essential skills for algorithmic trading. You will delve into data analysis using Pandas, mastering the manipulation of financial data with ease. Utilizing libraries such as Numpy and Matplotlib, you will gain proficiency in numerical computations and data visualization.The course covers data normalization and the calculation of financial returns, essential steps in developing robust trading strategies. Dive into finance and investment concepts to understand the intricacies of the market.Learn to communicate with broker API using Python code. Automation Login using Selenium. Harness the potential of Zerodha Kite Connect API to implement your strategies seamlessly. In the realm of algorithmic trading, real-time data is paramount. Learn to stream live tick data and efficiently download and clean historical financial data. Order Management - Placing orders, modifying, canceling, placing & trail stop loss orders.  This course includes frequently asked questions & prerequisites for the API.Use MySQL Database to save and access Data. Import and export data using static files.Technical indicators play a pivotal role in trading decisions. This course empowers you to develop indicators like Moving Averages, Bollinger Bands, ATR, Relative Strength, MACD, Supertrend, and Renko using Python.Take your skills to the next level by learning to deploy your trading bot on a Virtual Private Server, accessible through a user-friendly web page. Achieve the pinnacle of automation as you develop a fully automatic trading bot, ready to navigate the financial markets.The course has all working code Jupyter notebooks available in the resources section. Whether you're a novice seeking a comprehensive introduction or an experienced developer aiming to enhance your algorithmic trading prowess, this course provides the knowledge and hands-on experience needed to succeed in the dynamic world of algorithmic trading using Python. Join us on this exciting journey and unlock the potential of algorithmic trading in the financial markets.

    Overview

    Section 1: Introduction

    Lecture 1 Introduction to Algorithmic Trading

    Lecture 2 Brokers and API's

    Lecture 3 Setting up Environment

    Lecture 4 Introduction to Python Tools

    Section 2: Python for Data Science

    Lecture 5 Arithmetic Operations in Python

    Lecture 6 Data Types

    Lecture 7 Variables

    Lecture 8 Intro to Lists

    Lecture 9 Lists 2

    Lecture 10 Lists 3

    Lecture 11 Tuples

    Lecture 12 Strings 1

    Lecture 13 Strings 2

    Lecture 14 Dictionaries

    Lecture 15 Sets

    Section 3: Python Pandas

    Lecture 16 Introduction to Pandas

    Lecture 17 Pandas Series Part 1

    Lecture 18 Pandas Series Part 2

    Lecture 19 Pandas Series Unique

    Lecture 20 Pandas Series Sorting

    Lecture 21 Introduction to DataFrames

    Lecture 22 Accessing csv files

    Lecture 23 Data Inspection

    Lecture 24 Dataframe Indexing

    Lecture 25 Dataframe Filter

    Lecture 26 Dataframe Indexing Part 2

    Lecture 27 Position based indexing using iloc

    Lecture 28 Dataframe Slicing using iloc

    Lecture 29 Label based Slicing using loc

    Lecture 30 Loc with numeric index

    Lecture 31 Reset Index

    Lecture 32 Rename Columns

    Lecture 33 Conditional Filter

    Lecture 34 Advanced Filter

    Lecture 35 Missing Values Part 1

    Lecture 36 Missing Values Part 2

    Lecture 37 Group By

    Section 4: Downloading Financial Data

    Lecture 38 Intro to Time Series

    Lecture 39 Downloading Data yfinance API

    Lecture 40 String to Datetime

    Section 5: Financial Data Analysis using Python

    Lecture 41 Slice Time Series Data

    Lecture 42 Pivot DataFrame

    Lecture 43 Resample DataFrame

    Lecture 44 Data Normalization

    Section 6: Financial Returns

    Lecture 45 Calculate Price Changes

    Lecture 46 Calculate Financial Returns

    Lecture 47 Risk vs Returns

    Lecture 48 TVPI

    Lecture 49 CAGR

    Lecture 50 Geometric Returns

    Lecture 51 Simple vs Compound Interest

    Lecture 52 Continuous Compounding

    Lecture 53 Intro to log Returns

    Lecture 54 Daily Return vs Log Returns

    Lecture 55 More About Log Returns

    Section 7: Important Concepts in Stock Market

    Lecture 56 Instruments for Trading

    Lecture 57 Common Terms in Stock Market - I

    Lecture 58 Common Terms in Stock Market -II

    Lecture 59 Derivatives Risk

    Lecture 60 Intro to Futures

    Lecture 61 Intro to Options

    Section 8: Broker API: Zerodha Kite Connect

    Lecture 62 Creating Kite Connect App

    Lecture 63 Manual Login

    Lecture 64 Automatic Login using Selenium

    Lecture 65 Downloading Instruments

    Lecture 66 Download Historical OHLC Data

    Lecture 67 Place and Manage Orders

    Lecture 68 Other Important Functions

    Lecture 69 Introduction to Kite Ticker

    Lecture 70 Downloading Realtime Tick Data

    Lecture 71 Option Chain Data

    Lecture 72 Get Price Alerts

    Section 9: Technical Analysis

    Lecture 73 Introduction to Technical Indicators

    Lecture 74 Moving Averages

    Lecture 75 Moving Average Convergence/Divergence (MACD)

    Lecture 76 Bollinger Bands

    Lecture 77 Average True Range (ATR) Part 1

    Lecture 78 Average True Range (ATR) Part 2

    Lecture 79 Relative Strength Indicator (RSI) Part 1

    Lecture 80 Relative Strength Indicator (RSI) Part 2

    Lecture 81 Introduction to Supertrend

    Lecture 82 Supertrend using Google Sheets/Excel

    Lecture 83 Supertrend using Python

    Lecture 84 Introduction to Renko

    Lecture 85 Renko using Brick Size

    Lecture 86 Visualize Renko Chart with ATR

    Lecture 87 Introduction to ADX

    Lecture 88 ADX using Google Sheet/Excel

    Lecture 89 ADX using Python

    Section 10: Price Action

    Lecture 90 Introduction to Price Action

    Lecture 91 About Candlesticks

    Lecture 92 Support and Resistance

    Lecture 93 Introduction to Pivot Points

    Lecture 94 Pivot Points with Python

    Section 11: Strategy Development

    Lecture 95 Introduction to Strategy Development

    Lecture 96 SMA Strategy Backtesting

    Lecture 97 Strategy Optimization

    Lecture 98 Supertrend + MACD Strategy Part 1

    Lecture 99 Supertrend + MACD Strategy Part 2

    Section 12: Cloud VPS Deployment

    Lecture 100 Introduction to VPS

    Lecture 101 Virtual Private Server Deployment & Scheduling

    Lecture 102 Accessing strategy from VPS using a browser

    Software Developers, Algo Traders, Software Students