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Jun 4 • 6 tweets • 2 min read
These are rules for my #NSE_Universe watchlist -

▶️ CMP > 25
▶️ CMP < 10000
▶️ MCap > 300 Cr
▶️ MCap < 3 Lakh Cr (Below 1 Lakh Cr if only looking for small & mid cap)
▶️ Avg Turnover (50 day) > 2 Cr
▶️ Avg Vol (50 day) > 5000 (to remove ETFs)

Filter out stocks in 5% circuit!
Two important tips -

▶️ While using moving averages (like I did for avg. turnover & avg. volume) keep in mind that chartink will remove stocks which didn't have 50 days of trading (as am using 50 MA). If you use 200, it will remove all stocks which gets listed within 200 days.
Solution is - maintain separate list of stocks listed in last 3 months (3*20 = 60 trading days).

▶️ Before finalizing any trade, I always look for gaps between candles, erratic movement, lot of O=H, O=L bar on 5 Min chart. For velocity trades, I check it on 1 min chart.
Last thing I want to happen is getting stuck into an illiquid stock, specially with a tight SL, because slippage will be huge on both sides, entry & exit. Even if I can manage to enter anyway using SL order, exiting on squat will be horrible when selling pressure will be huge.
Link of the NSE Total Universe Scanner as per promised -

chartink.com/screener/nse-t…
Link of video with instructions to make the watchlist downloaded from chartink compatible with @tradingview -



I hope it can help. If you find it useful please retweet and share for max reach!

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More from @swing_ka_sultan

Chhirag Kedia Profile picture
May 28
Few months back I was in need for data for one of my research work. I had the raw data but I was looking for the code which can extract data in required format for research.

I wrote to everyone in India who could have helped me. They all are very famous & respected people. (1/n)
I also tried to hire professionals who can do it for me. But they said it is not possible to do in this software.

I finally wrote to the company whose software I was using. They said, it is possible but didn't provided the code.

"IT IS POSSIBLE" - these were magical (2/n)
words. It inspired me to work on my own to find the solution. Finally after putting few days of effort, and doing some 'jugaad', I was able to extract the data in the way I needed it for research.

It was a moment of joy and pleasure. Finally after so much effort I 'earned'(3/n)
Read 9 tweets
Chhirag Kedia Profile picture
May 26
The 2nd point here gave me goosebumps. Had been fighting against this myth of overhead supply and nonsense of buying at the ATH since long. Finally it is backed by performance too. 1/n
This myth busting started with my concept of #200MA_LLR. I needed to thought deeply about it because in that setup, overhead supply was a common question and concern. Some of the first tweets regarding it where here. 2/n

The same I explained in detail in my talk about the setup #200MA_LLR in #GroupTalk No. 2. You can go through it to understand it properly.

Read 11 tweets
Chhirag Kedia Profile picture
May 6
Many people keep on wondering about stages- stage 1, 2 etc. I usually do not bother much. Reason is, I usually do not get a tradable setup with right entry without a stock being in a stage 2 advance.

I just follow 2-3 rules for quick analysis. Firstly, I do not buy any (1/n)
stock below its 200 DEMA. Not because this 200 DEMA rising for X no. of months will show me that the trend is established, but because it will provide resistance when the stock surges upwards.

2nd thing I like to see is volume. Stage 1 is neglected phase, except some core (2/n)
value investors and some stealth accumulation happening by institutions, not many people will be active there. So the activity is muted, and so is the volume. But no stage 2 can ever trigger WITHOUT CONSIDERABLE SURGE IN VOLUME. This surge will happen in overall volume (3/n)
Read 6 tweets
Chhirag Kedia Profile picture
Mar 20, 2021
#CaseStudies #IPOBase #Shankara

As mentioned, here is my next study on #IPOBases on Shankara Building Products. The public offer for Shankara opened on 22nd March, 2017 & closed on 24th March, 2017. It saw good response in public offer, got subscribed 41.88 times and got (1/n)
listed at 18% premium on 5th April, 2017.

Post listing what the stock made, we can call it a model IPO Base. It just can't be any better. The stock rose for 5 days post listing, signifying good demand before forming its left side high of the base. For 2 weeks we saw a (2/n)
little pullback, after which the stock starts carving its bottom. Continuous 6 weeks tight closing, something which can't be more constructive for an IPO base.

Lets see this in daily. There are 3 entries available here - 2 as cheat & one at standard breakout level. (3/n)
Read 20 tweets
Chhirag Kedia Profile picture
Mar 18, 2021
Conducting study on how we would have done if we would have bought every valid #IPOBase breakout since 2017. This will help us in finding the success rate of IPO bases and also in identification of the characteristics of a high probability setup. While I wish to publish (1/n)
complete study & the results on completion, but as it includes too many stocks and multiple charts of each setup, it will become too much complicated to publish on twitter. Hence I will share some #CaseStudies here which I hope will be beneficial not only in understanding (2/n)
IPO bases but also trade management, scaling in & out, identification of warning signs and selling into weakness.

To achieve consistent success in trading, it is essential for us to reduce subjectivity in trading though we can't eliminate it completely. So, am following (3/n)
Read 27 tweets
Chhirag Kedia Profile picture
Oct 25, 2020
On this very auspicious day of Shree Vijaya Dashami, I am glad to announce the launching of my Chart Reading Master Class Course, the CRMC. CRMC is actually Module A of my Mentorship Program which is currently available only to those who are personally in touch with me. In (1/n)
the past one year, whenever I shared any part of my chart studies or research work, I often get many queries about whether I will be interested in mentoring the way I read the charts, and after a long pending constant demand, I finally decided to launch this program for (2/n)
everyone who are interested.

When I first started in technical analysis back in 2013-14, I wasn't aware of the clutter and misperceptions this subject surrounds. Many widely followed theories and beliefs are highly flawed and doesn't work in the way they are expected to. (3/n)
Read 10 tweets

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