Build Your Algo Setup In a Day | Banknifty Strategy | Ft. Sumit Raj | @stockmock #22

Welcome to #stockmockpodcast where our Founder Nitish Narang talks to the stock market expert about Algo trading, Risk Management, Psychology, Diversification, Strategy, and many more things.....

Mr. Sumit Raj is an Author of the book "Building Chatbots with Python" and works as a Principal Engineer at Unacademy also an Algo-Trader.
He is among people who had vast knowledge in both domain trading as well as coding apart from this he likes to build end-to-end scalable systems for startups.

Let's talk with him about How you can Build Your Algo Setup In a Day with zero cost using Serverless solutions.

#sumitraj #stockmock #podcast #nitishnarang #banknifty #optiontrading #optionselling #algosystem #python

Timeline

00:00 Teaser
00:45 Intro
03:48 Journey of Sumit Raj and what knowledge he is sharing today.
08:08 Building your algo setup in a day
09:29 Problems in manual trading
10:36 Challenge after Backtesting
11:15 Serverless Solution flow chart
13:45 What is Serverless?
15:53 The Strategy Rules
17:19 Backtested Results on stockmock
19:07 Rules of strategy for coding.
19:58 Let's Dive into code - Rule 1: Part-I
25:56 Rule 1: Part-II
28:09 Rule 2 - Time Set
28:32 Rule 3 - Check SL Hit or Not
29:41 Rule 4 - Re-Execution
30:40 Utility Method (Get data, update data, Insert data)
32:23 Resources to Learn Python
36:14 Utility Method (Find Entry, Exit all positions, Order Status)
40:48 Real Execution on Lambda
49:32 Cost Perspective on Lambda
52:42 Limitation of lambda how to handle using cloud watch.
54:50 Use of Throttle
55:52 API Gateway
56:13 Amazon Cloud Watch
57:28 Productivity and Maintenance Perspective
58:17 Why choose Serverless Lambda over EC2?
59:28 Discussion with sumit about coding and chatbot.
01:09:23 End note

------------- About Stockmock--------------------
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[varunishad]

Having watched this, I can confidently say that what I look forward to the most is not landing a high-paying job or traveling abroad; rather, it's the anticipation of seeing Sumit again in the podcast. This session has provided me with invaluable insights into algo trading, a subject I've been avidly exploring for quite some time. Really loved this content.❤

[mayanksaini]

This episode could be life changing for some. Thanks Nitish for bringing Sumit Raj on your podcast. I am in for the series of coding strategies.

[fenilbarochiya]

Hello Sumit and nitish, it is the best podcast I have ever seen in an area of algorithm trading. I have attended many webinars but no one explains like this and shares the codes at the end. And ask for enrollment of their courses and all other stuff instead.
Thanks for your time and effort for this.

You guys asked if we want to attend live sessions, i would love to be present there to learn a lot more as much as i can.

Definitely call Sumit sir again again we are here and ready to learn at their time schedule.

Keep up the good work
😀😀😀👍

[sshetty]

Thanks Samir and Nitish!! Best session till now. We need more like this. This should go more from theory to practically implementing in all brokerage platforms.

[Brajendu]

This is just unbelievable that algo can be done by us retailers!!!! Very promising.. Thanks for bringing such content and talented guests.

[Tjeetu]

Best podcast till now, please call him again and again and keep enlightening us about python and automating our strategies for live markets with all system setups including connecting brokers, DB, lambda etc, TIA😍😍🤞🏻

[techtrader]

I don't generally comment, but while watching this I got to know one little mistake in my python code. We coders know that only the silliest mistake are hard to find . So thanks to both of you sir 🙇🏻‍♂️

[padmanabhanr]

Best stockmock podcast till date. Lots to learn

[HanumanGehlot-jc]

It is amazing experience to hear such a passionate n genius teacher sumit

[AshishSodhi]

Saurav bhai should make a full course on unacademy to teach algo trading from scratch....

Many people want to learn it

[sanjeev]

One of the best podcast sir, Series jrur honi chahie sir is topic par

[souryapattanayak]

This is a very good knowledge sharing as an introductory session to learn Algo trading system development. Sumit, I would be grateful if you can share some complete course curriculum of yours.

Thanks&Regards

[kranthikumar]

Amazing session Sumit & Nitish... Builds confidence for retail investors to be profitable in market and that too with minimal screen time... I strongly urge to have detailed technical sessions on algo trading as discussed in the podcast...

[Mahakaallll]

It was super, straight to the point session.

[pradeepmustyala]

Why Stockmock is not able to provide data for 9:15AM candle. I saw start time is 9:16AM. My strategy is depend on 9:15 candle. In which way we can that 9:15 candle data? My strategy depends on Once this Gap up or Gap down of 1st minute at the opening of market, it has to have 9:15AM candle. Please let me know which way we can get 9:15 AM candle high or low data?

[roshanshetty]

Hi ... get him back for multiple videos ... would like to learn from him more.. thnxx !!!

[homenphukon]

Very nice session..Learnt a next episodes....

[meeranair]

WONDERFUL CONTENT AND THE MORE FASCINATING ANCHORING....ENJOYED EACH SECOND....THANK YOU...

[salmankhan-lryt]

wow what a session every time you come up with amazing content and sumit you rocks

[vivekgulavani]

Thank you for wonderful session. I understand the python code is deployed on Amazon Lambda service, however couldn't understand where is the Mongo DB deployed. Any information you can share on the same would be useful for doing the setup.