Algorithmic Trading on KiteConnect Platform (Udemy.com)
Implement algorithmic trading strategies on KiteConnect platform
Created by: Mayank Rasu
Last updated May 2023
What you will learn
- Algorithmic Trading
- Zerodha Kiteconnect API
- API Trading
- Selenium Web Automation
- AWS EC2
How it compares
Against the other 278 rated Udemy courses in Trading & Investing on CourseDuck:
- Rating4.4 out of 5higher than 30% of them
- Reviews2,053#42 of 279 by number of reviews
- Length12 hourslonger than 91% of them
- Last updatedMay 2023earlier than 73% of them
Course 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 course
API trading
Harnessing streaming tick level data
Incorporating technical indicators using python
Incorporating chart pattern analysis
End to End strategy design and deployment
Selenium webdriver
AWS EC2
Sqlite database management
Instructor Details
- 4.4 Rating
2,053 Reviews
Mayank Rasu
I have authored and published bestselling courses and books on finance and technology. I have a passion for simplifying seemingly complex topics such as algorithmic trading, machine learning, artificial intelligence and make them accessible to students with no technology/finance background.
I have more than a decade of experience working with global investment banks in the quantitative analysis/risk management areas. My work experience has made me a firm believer in taking data driven decisions while always being mindful of the qualitative aspects of my job.
I did my undergraduate education in engineering and earned MBA and MFE degrees. I see myself as a life long learner and I deeply cherish the opportunity of sharing my knowledge with others.
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Reviews
By Naresh Pasumarthi on 6/9/2026
The concepts are not updated with time. The modules reflect old technologies leaving students to find connectors themselves.
By Shefali Bhuta on 1/3/2026
I struggled with autologin function. In 2025 the autologin function has changed quite a lot from what was there in 2020. Also, the to_capabilities() is redundant but not mentioned in the video, i found the answer in Q&A. I got the code running but took me 2 days + headache. I still will give 4.5 because good explanation. you just need to update the videos and the resource file
By Anonymized User on 11/15/2022
Hey Mayank, Greetings, I loved your course. I am grateful and appreciate your efforts to input time and energy into this program. I loved all the parts of the course and especially, the Renko part, which I found this course highly useful. I am trying to convert this learning into strategies. I would look forward to more such courses in the future. Thank you so much, have a nice day
By Divakar Bind1 on 8/21/2021
I do not have enough words to express my gratitude to Mayank Sir for creating this beautifully designed course. He is a genuine mentor and a guide and I can say this because of the efforts that he has made in this course to make sure that we can understand the underlying concept so that we can resolve problems on our own when we face them. I do not write reviews generally, but I made sure to write a review on this course because I want Mayank Sir to know and be encouraged knowing that his efforts are making significant differences to lives of other people. Thanks a lot @Mayank Rasu Sir for this course.
By Vishnu Priya M on 7/9/2021
Excellent course for beginners in Algo using KiteConnect. Helped me to learn and understand. I found the course material very useful and well structured. Mayank, has the in-depth knowledge both on Market and also Algo using Python. He is also kind enough to reply to your queries and provide suggestions. I liked this course so much that I have already bought other courses of Mayank :)
By Sayan Mazumder on 5/7/2021
Best course I've had on Udemy till now!! -- solely because of the content, explanation, thoughts, care and effort put into this course, by Mr. Rasu! It has really helped me find a feet in a completely unknown area of algo trading! (I have undertaken other Algo trading courses before, but they were more like programming courses, rather than Algo trading, with 80% of their contents, not very useful in real trading scenario, unlike this course, which is truly relevant to its topic. SO I WOULD REALLY RECOMMEND THIS COURSE AND THE INSTRUCTOR.)
By Atin Gupta on 1/4/2021
Almost in every sentense the trainer is speaking the work - "right" about 2 times. Its very irritating for me
By Sachin Thakur on 10/6/2020
Course content and content delivery both are good. Video quality is poor and reading on screen code is not very easy at 720p which is max they have, Udemy's fault. Sound is low in most of the lectures and only 2-3 sessions are loud enough, again I believe Udemy's fault. Automation in cloud is covered very fast as compared to windows, it should have been the other way around. In fact if windows is not the correct OS for algo thing then focus could have been more on linux environment.
By Sivakami Karthik on 10/3/2020
This is an extraordinary course, well explained by the instructor step by step. Without any coding background or experience, being a non techie, I am able to create and successfully run algorithm with help of the lectures. This course not only helped me to create the algorithm strategies which is explained in the course content, but also implement my own strategies and run them successfully.
By Sreekanth Payyavula on 5/30/2020
Amazing course. The instructor has given the insight into how we can design an algo trading bot script on cloud. I am excited to deploy it and enhance it slowly and steadily over time. There could be other libraries like nsepy which I will use over this to get the historical date. I have also taken the other course offered by the instructor. Glad I took it.
Quality Score
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Overall Score : 88 / 100












