Zerodha Kite Connect API for Algo Trading

Name: Zerodha Kite Connect API for Algo Trading
Rating: 4.3 (172 reviews)

Learn to develop Algo trading strategy for Zerodha platform using Python & Mysql

Created bySatyapal Singh

Last updated 7/2026

English

English [Auto],

What you'll learn

Integrate Zerodha Kite Connect API with Python
Login to Kite Connect Automatically
Learn to Save & Retrieve data in MySQL and csv format
Download Indian Stock Market Tick Data programmatically
Create Technical Indicators using python
Analyze candlestick patterns
Deploy Algo Trading Strategy on the Cloud

Course content

8 sections • 75 lectures • 7h 48m total length

API Overview5:52
Architecture & cost details
How Algorithmic Trading works - New to Rest API12:10
API Resources7:50
Various resources to help you sign up, learn & get technical support related to kite connect API.
Common IDEs & Tools - Optional (New to Algo Trading)2:39
Setting up Environment - Optional (New to Algo Trading)5:56
Setting up the environment using Anaconda Navigator
Introduction to Python tools - Optional (New to Algo Trading)9:56
A brief introduction to Python tools required for the course.

Creating Kite Connect App5:30
How to Sign up for Zerodha Kite Connect and create your app.
Manual Login7:18
Overview & simple Login process
Introduction to Selenium2:35
Introduction to Selenium library to fully automate the login process. This step is an alternative to the automatic or manual login processes given in previous videos.
Web Scraping basics5:03
Basics of Web scraping using Python
Using Google Authenticator for TOTP3:21
Learn how to create a TOTP key using Zerodha kite connect mobile app. We can do it in the web application in a similar way. We require a TOTP key while writing the login code in the following lecture. This video has been gratefully taken from the Zerodha Youtube account.
Automatic login using Selenium10:02
Automate logging into the Zerodha Kite Connect API with Selenium, using API key, secret, user ID, and time-based OTP. Store temp token and save access token securely in text file.

Downloading Instruments12:07
Download NIFTY instruments to get details like Instrument token, trading symbol, lot size & expiry date, etc.
Download Historical OHLC Data5:50
Download historical Open High Low Close data for various instruments & different candles like 5 minute
Place & Manage Orders9:08
Demo of various functions available in the API for trading like buying, selling, etc.
Other Important Functions4:00
Explore essential Zerodha Kite Connect API functions for algo trading, including login, trades, orders, positions, holdings, margins, last price via LTB and code for multi-symbol data and deeper insights.
Introduction to Kite Ticker4:57
Downloading realtime Tick Data9:56
Write code to download real-time tick data for various instruments.
Get Price Alerts4:56
get audio-visual alerts when a particular instrument reaches a lower or upper price limit.
Option Chain Data7:09
Download the full option chain data via Zerodha Kite Connect, filter for call and put options on Nifty, and extract the ten nearest strikes with their last prices.

Introduction to Technical Indicators5:21
Moving Averages7:36
How to calculate simple Moving Averages & Exponential Moving Averages using Python.
Moving Average Convergence/Divergence (MACD)6:18
Compute the moving average convergence/divergence as the difference between slow and fast moving averages, then apply a nine-day signal line to spot bullish or bearish crossovers.
Bollinger Bands7:11
Average True Range (ATR) Part 14:48
Average True Range (ATR) Part 27:13
Relative Strength Indicator (RSI) Part 18:51
Relative Strength Indicator (RSI) Part 29:44
Introduction to Supertrend3:44
Supertrend using Google Sheets/Excel11:29
Supertrend using Python9:38
Calculate the super trend in python using a 7-period range and a 3 multiplier, deriving basic and final upper and lower bands and tracking trend shifts.
Introduction to Renko5:15
Renko using Brick Size5:15
Visualize Renko Chart with ATR4:58
Learn to visualize renko charts using atr-based brick size with mplfinance, plotting nifty data and color-coding bricks to show trend changes.
Introduction to ADX4:52
Learn how the average directional index (adx) quantifies trend strength, with a standard 14-day period, to signal whether bulls or bears control the market and filter sideways markets.
ADX using Google Sheet/Excel7:25
ADX using Python4:57

Introduction to Price Action2:56
About Candlesticks4:43
Support and Resistance4:30
Explore how support and resistance define price levels where demand and supply push reversals, breakouts, and false breakouts, guiding traders to buy at lows and sell at highs.
Introduction to Pivot Points2:42
Pivot Points with Python5:12
Introduction to Doji3:41
Doji Candles with Python4:16
Introduction to Hammer Candles2:47
Hammer Candles with Python4:10
Introduction to Shooting Star Candle1:37
Shooting Star Candle with Python6:15
Introduction to Marubozu candles1:30
Marubozu with Python6:41
Harami Candle Pattern5:58
Engulfing Pattern2:31

Strategy Development4:33
Introduction to Strategy Backtesting3:29
Vectorized Strategy Backtesting8:02
Explanation of a simple moving average strategy.
Strategy Optimization5:21
Optimization of Strategy using multiple values of Lower SMA and Higher SMA
Iterative Backtesting Part 18:41
Develop an iterative backtesting class in Python to test trading strategies step by step, using pandas, numpy, and date handling, with reusable EMA parameters, balances, and logs.
Iterative Backtesting Part 211:58
Iterative Backtesting Part 312:48
Iterative Backtesting Part 412:12
Iterative Backtesting Part 59:30
Backtest an exponential moving average crossover strategy with short-term and long-term EMAs to signal trades, showing a 9.67% return from 70,000 to 76,770 across 26 trades (costs omitted).
Iterative Strategy Optimization9:08
Explore iterative strategy optimization by testing multiple parameter combinations, backtesting performance, and identifying top configurations using range-based trials, product, and data frame analysis.
Fake Zerodha class4:09
Code to simulate API so that you may test your strategy before running it with actual money.
Supertrend + MACD Strategy Part 17:03
Demonstrates a macd and supertrend based trading strategy that uses icici direct wrapper to fetch data and place orders, with potential integration to zerodha kite connect for paper trading.
Supertrend + MACD Strategy Part 27:48

Introduction to VPS4:17
Run your strategy on a static ip address vps for 24/7 reliability. Connect remotely via Microsoft Remote Desktop from Linux or Windows, using AWS, Google Cloud, or other hosting options.
Virtual Private Server Deployment & Scheduling5:39
Automate your Zerodha trading workflow on Windows server with scheduled batch files and Python scripts for login, data download, calculations, and strategy execution, plus a Flask interface on port 5000.
Accessing strategy from VPS using a browser3:44
Access your strategy from a browser on a VPS, select instruments, run pre-market checks, and monitor live paper trading with detailed logs and historical data.

Requirements

Basics of Stock Market/ Trading
Zerodha Account
Beginner level programming skills

Description

Disclaimer: The video content is not sponsored by Zerodha and has no connection with it.

Zerodha is a leading discount broker in India. It has a great user Interface & API. After this course, you can Design and deploy trading strategies on the Kiteconnect platform. Using this course you will be able to automate your strategy including authentication, extracting data, performing technical analysis, generating signals, risk management, etc. Learn to work with MySQL Database to save and retrieve data. Gain a thorough understanding of Restful APIs and kite connect python wrapper in detail. Also included are the cost structure & limitations of the API.

This course covers complete API functionality, including:

Manual & Full Automation Login using Selenium - The API login process has been explained in a highly simplified manner.
Order Management - Placing orders, modifying, canceling, placing & trail stop loss orders.
Historical OHLC data downloading for different candle sizes.
Receiving real-time streaming tick data for multiple instruments & saving it in the Database.
Market /Trend Analysis with Technical Indicators using Excel/Google sheet and Python
Creating audio-visual alerts for monitoring multiple stock prices' upper & lower limits.
Write code for paper trading with a strategy.
Deploy your strategy on the cloud using Virtual Private Server(VPS).

Extra lecture on developing SMA & market direction strategy examples.

The course has all working code Jupyter notebooks available in the resources section.

This course includes frequently asked questions & prerequisites for every step.

Whether you are a student looking for a career in Data Science or a Trader trying to automate a strategy, this course is for you.

Who this course is for:

Software Developers, Algo Traders, Software Students

Zerodha Kite Connect API for Algo Trading

What you'll learn

Explore related topics

Course content

Introduction6 lectures • 44min

API Details and login6 lectures • 34min

Working with API8 lectures • 58min

Technical Analysis17 lectures • 1hr 55min

Candlestick Analysis15 lectures • 59min

Working With Data7 lectures • 39min

Strategy Development13 lectures • 1hr 45min

Cloud VPS Deployment3 lectures • 14min

Requirements

Description

Who this course is for: