Algorithmic Trading on KiteConnect Platform
What you’ll learn
Algorithmic Trading
Zerodha Kiteconnect API
API Trading
Selenium Web Automation
AWS EC2
Requirements
Zerodha account
Basic python skills (should be familiar with data types, data structures, loops, functions, installing and importing libraries etc.)
High school level mathematics
Intermediate level familiarity with finance/trading
Description
Design and deploy trading strategies on Kiteconnect platform. Automate every step of your strategy including authentication, extracting data, performing technical analysis, generating signals, risk management etc. Gain a thorough understanding of Restful APIs and kiteconnect python wrapper. Learn how to deploy your strategies on cloud.You can expect to gain the following skills from this courseAPI tradingHarnessing streaming tick level dataIncorporating technical indicators using pythonIncorporating chart pattern analysisEnd to End strategy design and deploymentSelenium webdriverAWS EC2Sqlite database management
Overview
Section 1: Introduction to Zerodha Kiteconnect
Lecture 1 Course Prerequisites
Lecture 2 Zerodha Account Opening
Lecture 3 Getting started with Kiteconnect
Lecture 4 Setting Up Virtual Trading Environment
Lecture 5 Installing Kiteconnect Python Wrapper
Section 2: Setting up Trading App and Establishing Connection
Lecture 6 Create Kiteconnect Trading App
Lecture 7 Establishing Connection and Creating a Trading Object
Lecture 8 Selenium Intro
Lecture 9 Automating request token generation – I
Lecture 10 Automating request token generation – II
Lecture 11 Automating access token generation
Lecture 12 Automating access token generation with TOTP
Section 3: Key API Calls
Lecture 13 Getting Historical Data
Lecture 14 Getting Historical Data Over Extended Duraion
Lecture 15 Placing Orders – I
Lecture 16 Placing Orders – II
Lecture 17 Other Useful API Calls
Lecture 18 Websocket Streaming Intro
Lecture 19 Streaming Tick Data
Section 4: Coding Technical Indicators
Lecture 20 Technical Indicators Intro
Lecture 21 MACD Overview
Lecture 22 MACD Implementation Using APIs
Lecture 23 ATR and Bollinger Bands Overview
Lecture 24 Bollinger Bands Implementation Using APIs
Lecture 25 ATR Implementation Using APIs
Lecture 26 RSI Overview
Lecture 27 RSI Implementation Using APIs
Lecture 28 ADX Overview
Lecture 29 ADX Implementation in Excel
Lecture 30 ADX Implementation Using APIs
Lecture 31 Supertrend Overview
Lecture 32 Supertrend Implementation in Excel
Lecture 33 Supertrend Implementation Using APIs
Lecture 34 Renko Overview
Lecture 35 Renko Implementation Using APIs
Section 5: Price Action Concepts
Lecture 36 Price Action Intro
Lecture 37 Support and Resistance Levels
Lecture 38 Pivot Point Intro
Lecture 39 Pivot Point Implementation Using APIs
Lecture 40 Doji Candle Intro
Lecture 41 Doji Implementation Using APIs
Lecture 42 Hammer Candle Intro
Lecture 43 Hammer Implementation Using APIs
Lecture 44 Shooting Star Intro
Lecture 45 Shooting Star Implementation Using APIs
Lecture 46 Maru Bozu Intro
Lecture 47 MaruBozu Implementation Using APIs
Lecture 48 Engulfing & Harami Cross Patterns
Lecture 49 Slope in a Chart
Lecture 50 Slope Implementation Using APIs
Section 6: Building a Candlestick Pattern Scanner
Lecture 51 Intro to Time Library
Lecture 52 Building Pattern Scanner – I
Lecture 53 Building Pattern Scanner – II
Section 7: Designing & Deploying Strategy on Zerodha Platform
Lecture 54 Designing & Deploying Strategy
Lecture 55 Supertrend Strategy Intro
Lecture 56 Supertrend Strategy Implementation – I
Lecture 57 Supertrend Strategy Implementation – II
Lecture 58 Supertrend Strategy Implementation – III
Lecture 59 Supertrend Strategy Demo
Lecture 60 Square Off Automation
Lecture 61 Square Off Demo
Section 8: Handling Streaming Tick Data
Lecture 62 Storing Streaming Data With Sqlite3 – I
Lecture 63 Storing Streaming Data With Sqlite3 – II
Lecture 64 Converting Ticks to Candles
Section 9: Streaming Tick Data Based Strategies
Lecture 65 Renko in Real-time Intro
Lecture 66 Renko in Real-time – Part II
Lecture 67 Renko in Real-time – Part III
Lecture 68 Real-time Renko + MACD strategy Intro
Lecture 69 Real-time Renko + MACD strategy – Part II
Lecture 70 Real-time Renko + MACD strategy – Part III
Lecture 71 Real-time Renko + MACD strategy demo
Section 10: Deploying Strategies on Cloud
Lecture 72 Why Cloud
Lecture 73 Launching AWS EC2 Instance
Lecture 74 Connecting To The EC2 Instance I
Lecture 75 Connecting To The EC2 Instance II
Lecture 76 Transferring Files to EC2 Instance
Lecture 77 Installing Chromedriver & Chrome Browser in EC2
Lecture 78 Handling File Path in Linux
Lecture 79 Scheduling/Automating Your Scripts Using Crontab
Lecture 80 Keeping Track of Running Processes
Lecture 81 Using Screen Command with Crontab
Lecture 82 Shutting Down/Deleting EC2 Instance
Traders looking to automate their strategies on Zerodha’s platform,Anyone interested in Algorithmic trading in the Indian market
Course Information:
Udemy | English | 11h 21m | 7.85 GB
Created by: Mayank Rasu
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