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    Algorithmic Trading On Kiteconnect Platform

    Posted By: ELK1nG
    Algorithmic Trading On Kiteconnect Platform

    Algorithmic Trading On Kiteconnect Platform
    Last updated 12/2021
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 8.20 GB | Duration: 11h 21m

    Implement algorithmic trading strategies 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