#HCG 🧵to provide key technical analysis insight & learning through one of popular stock HCG (valid for long term investors & traders)
Please note there are no GOD rules in technical analysis, but discipline makes a rule GOD for us when transactions go for a toss
Keep reading..
Let us focus on 2 things: 1. Why as an investor I start any chart reading with monthly chart for longer term direction
2. Why relative performance matters
1. Importance of monthly charts: peaceful investing without much churn in portfolio and daily tracking (this is one of the ways, not the only way or best way to take decisions).
a. Exit: If one would have simply plotted relative performance with respect to NIFTY, he would
have got out in early 2018 and avoided whole decline and underperformance for next 2 years
b. Entry: Further, in June 2020, would have taken entry based on outperformance to NIFTY and would have continued to outperform NIFTY
c. Average up: Whenever stocks relative performance came at par with NIFTY, it created a temporary bottom and next leg of run from there
2. Why relative performance matters:
NIFTY return itself has been respectable 12-14% over long term and if one can outperform this without much fuss and peace of mind with lesser churn, not a bad idea. Relative strength performance analysis helps to ideate the same
Currently, HCG has started underperforming NIFTY though not by a heavy margin but for last few months unless last few times when it rebounded quickly. No one will know the future but it is all about discipline of well tested rules which a protection cover to save from big falls
and ride big gains.
So, this was all about blending 2 concepts - relative strength and longer timeframes to simplify some of the concepts.
At Scientific Investing, we love to teach many such concepts and will be teaching in detail through our CMT level study sessions and much more in our practitioner membership. You can explore the same here. learn.scientificinvesting.in/learn/SI-PRACT…
Also, we love to teach about rule building, quantification, back testing, building systems and algorithms picking such ideas in our QUANTS learning track. You can explore it here. learn.scientificinvesting.in/learn/QUANTECH
Like and share if this was useful for wider reach🙏
Remember the key message - Its not about predicting a perfect buy or sell call or trying to predict HCG ka kya hoga. The key message is bigger and about patterns/rules/discipline and systems - focus there
Also, think more, conclude less - Killing all this analysis above - Why it looked so beautiful - because either the stock was in continuous uptrend or downtrend. The moment it goes no where for month doing criss cross, the rule may become pain in the ass which means it needs
more thoughts. Think about it. My goal is only to make you think and not talk about what will happen to HCG or what a great or crappy rule is this. There is nothing perfect but there are always better solutions n possibility for improvement
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This is quite a bad situation in Mid and Smallcap stocks (Rank upto 500) which is above Rs 8000+ Cr market cap. 30% of midcaps down by 20% and smallcaps down by 30% from their 52W high
However, Big B ki jubaan me bolu to -
Iske age ki tu daastan mujhse sun
Sunke teri nazar dabdabaa jayengi
Let us look at the world below Rs 9000 Cr market cap
I have taken a universe of companies between Rs 200-9000 Cr. There are 1951 companies
55% of companies are below Rs 1000 Cr market Cap. 42% of these stocks are down by more than 40%.
Yes, if you are holding all the companies in Rs 200-1000 Cr market cap band, 42% of your stocks are down by more than 20%
Imagine the pain the lowest segment is going through
Rs 1000-3000 Cr universe has another 561 companies which is 26% of this universe.
Here, it is no better. 37% of these stocks are down by more than 40%.
So, combining these 2 segments, out of total 1951 companies, we have 1575 companies. 636 out of these 1575 companies are down by 40%
This means 33% of this whole Rs 200-9000 Cr universe is down by Rs 40%
#Ultramarine Annual Report 2025 #AR2025 and some fun facts and why we should look beyond numbers visible to all:
Screener PE: 19.7
PE is based on EPS growth derived from P&L. However, if a business has: 1. High accounting depreciation but low actual maintenance 2. Lot of capex done recently resulting in high depreciation with scope of better asset utilization in times to come
PCE (Price to Cash EPS, a term purely coined on own and not in valuation books) could be a better reference point. There are many situations where PCE either based on cash EPS of OCF based is a better representation of valuation.
When we look Ultramarine from OCF perspective, Ultramarine did Rs 90 Cr of OCF,
Earlier PE: 19.7
OCF based PE/PCE: 15.5-16.5
Below is cashflow statement from AR 2025
It does not stop here. When one looks at the balance sheet of the company, there is something interesting. It has a non-current investment of Rs 498 Cr
This investment is for the value of 20% stake they hold in sister company Thirumalai chemicals.
This is also evident when you look at Thirumalai shareholding. Thirumalai current market cap is Rs ~Rs 2900 Cr. So, this shareholding value comes to Rs 580 Cr as on today. Give 50% holdo discount and this value for Ultramarine comes to Rs 290 Cr
Yesterday, I shared this data point of % of companies hitting 52 week low close to ILFS Oct 2018 number.
Question is what is the significance of this data?
Let us explore
The reason to share this data is much more interesting. In current market, people would say - do not catch falling knife, let it bottom etc.
What if you invested in all those days when more than 20% companies were making 52 week low?
Can you backtest return of all such scenarios since last 10-20 years?
Got reminded of my Face2Face video done 4 years back where I presented lot of backtested outputs including how your returns would pan out
Here is this data right from 2006. The red bars are % of companies making 52W low
Though some of these metric are gaining popularity now, we had done lot of exploratory analysis and backtesting around these metric 4-5 years back when I was conceptualizing Scientific Investing . You can watch the full video here:
For SMALLCAP 250, based on Q3FY25 results so far:
❓Best performing companies?
❓Attractively valued companies?
❓Both attractively valued and best performing?
🧵to answer all such questions to help to filter interesting ideas for research
For NIFTY NEXT 50, based on Q3FY25 results so far:
❓Best performing companies?
❓Attractively valued companies?
❓Both attractively valued and best performing?
🧵to answer all such questions to help to filter interesting ideas for research
For NIFTY 50, based on Q3FY25 results so far:
❓Best performing companies?
❓Attractively valued companies?
❓Both attractively valued and best performing?
🧵to answer all such questions to help to filter interesting ideas for research