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Did a webinar to discuss about your Quantitative Trading Program.

Few takeaways & resources

1. If you do not have minimum 10lakhs of capital for trading or find our course a bit expensive then, you can get started with this basic udemy course.

udemy.com/course/python-…
2) Free Quantitative Resources :

epchan.blogspot.com/?m=1
(Dr. E.P Chan’s Blog where he talks about quantitative strategies and trading ideas)

quantifiedstrategies.com
(It talks about quantitative strategies across various time frames)

quantstart.com
3) Algorithmic is just a way to backtest and automate your ideas

It does not mean that algorithmic trading is 100% always profitable(misconception people had)
4) If you are trading derivatives with < 5 lakh capital then it’s a suicide I would say, especially for option selling
5) For getting started with trading one can refer @ZerodhaVarsity content.

They have really good content to start with.

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More from @sourabhsiso19 see all

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Sourabh Sisodiya
@sourabhsiso19
How to build/backtest a strategy ?

1) Idea/Hypothesis
2) Specify entry,exit, SL & position size
3) Generate trade log & Backtest Report
4) Test in diff. market condn.
5)Optimise the strategy
6) Evalute the robustness & stress testing
7) Track Real Time performance
8) Deploy
1) Idea( Our Snorlax Strategy)

Options decay with passage of time.
I look at the theta decay curve and wonder that some decay is intraday and some is overnight.
Can I capture the intraday theta decay by creating delta neutral positions ?

#idea #theta
2) Can we create intraday straddle to capture theta decay ?

Initial Logic :

Entry : Create straddle at 9:15 am
Exit : Close the straddle at 3:15 pm
SL : 10% of combined option premium
Position Size : 1 lot (CE & PE) per 1 lakh

#entry #exit #stoploss
Read 11 tweets
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Sourabh Sisodiya
@sourabhsiso19
How to move towards Quantitative Trading :

1) Learn Python
2) Learn key trading libraries & Pandas
3) Data visualisation using seaborn & matplotlib
3) Statistics for Financial Markets
4) Backtest your strategies
5)Optimise & Automate
6) ML insights for trading

#quant #trading
1) This is a good basic course on Udemy to learn about Python required for trading

udemy.com/course/python-…

#python
2) Learn about Pandas( cruciwl for data cruncing & handling time series data)
learnpython.org/en/Pandas_Basi…

Also install talib: an essential library for a trader. It has inbuilt functions for all technical indicators making our life easy.

mrjbq7.github.io/ta-lib/doc_ind…

#pandas
Read 9 tweets
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Sourabh Sisodiya
@sourabhsiso19
Thread:
How I managed my losing trade to end in profit ?

Today was a difficult day for most traders as market opened with a 3%gap up & fell after that and again rallied in the 2nd half.

In this thread, I will be sharing my detailed trade management for today.

#trading
1) I had carried overnight 20 lots sell of 8400 PE sell & 9500 CE sell

-1500 8400 PE at 110
-1500 9500 CE at 114
Net Credit was 224 point

In the morn. it was around 265 points due to gap up

MTM - 60 K at 9:20 am
2) Waited for 15 mins & plan was to go long abv 1st 15 min high to defend the position( Gap Strategy)
But market broke 15 min low & losses started to narrow.
At around 11 am ,the trade was at breakeven :)
Read 11 tweets

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