US arms sales to India, TCS to invest Rs 18,000 crore in data centers, & more - Groww Digest
Thursday, 20 November 2025
Markets opened above yesterday’s closing point.
Nifty 50 rose throughout the day and closed in the green.
Oil and gas stocks and auto stocks rose the most today. Media stocks and PSU bank stocks fell the most.
Global markets: US markets and most Asian markets rose. European markets rose (as of 6 pm IST).
News
India’s infrastructure output remained unchanged in the month of Oct. Fertilisers, steel, petroleum refinery products and cement sectors recorded growth, while coal, natural gas, electricity and crude oil are the sectors that declined.
The US approved 2 arms sales worth $92.8 million to India, including Excalibur precision projectiles and Javelin anti-tank missile systems.
The US’s trade deficit narrowed to $59.6 billion in Aug (vs $78.2 billion in July). This data was delayed because of the recently ended shutdown of the US government.
Excelsoft Technologies IPO has been subscribed 6.89 times. Retail subscription: 5.92 times. IPO closes tomorrow (21 Nov).
Fujiyama Power IPO listed on the stock exchanges at a discount of 3.51% on the issue price and closed 8.58% down at the end of the day.
Stocks Updates
TCS: partnered with TPG to invest up to Rs 18,000 crore in its AI data center venture, HyperVault.
Hyundai Motor: invested Rs 21.46 crore in FPEL TN Wind Farm (operates wind power projects in Tamil Nadu), raising its stake to 26.49%.
JSW Energy: resolution plan for ‘Raigarh Champa Rail Infrastructure’ has been approved by the Committee of Creditors. It provides rail infrastructure for coal transport to the KSK Mahanadi power plant in Chattisgarh. Now the plan will go to NCLT for further approval.
Word of the Day
Overdraft Facility
It is a service where a bank allows you to withdraw more money than what is available in your account
The extra amount you withdraw is called ‘overdrawn’ money, and there’s a fixed limit set by the bank.
Think of it like a short-term loan you would take when your balance is low or zero. Interest is paid on the extra amount that is used.
It is used by businesses and individuals to manage emergencies or short-term cash crunches.
6 Day Course
Theme: different kinds of buyers/sellers in share market
Day 4: Thursday
A big chunk of all shares are held by promoters of companies, key employees, and other such members.
These shares are not counted in the free float of companies’ shares. Many investors like to keep an eye on these shares because it can signal what the company insiders think about a company.
Usually, a promoter buying more shares in the company is often seen as a positive sign. Selling in large chunks is usually seen as a negative.
In the case of many companies, the promoters own a great portion of their companies.
In many others, it is a small portion. Could also be 0%.
Many of their larger deals take place in the form of bulk or block deals.
These investors are usually more long-term oriented and do not trade in shares much.
Many of their orders are large in nature and can cause price fluctuations.
Featured Question
“Can stock market movements ever be predicted accurately using AI and machine learning?”
So far, that has proven difficult to do in case of short term predictions.
Many traders have their own programs (that may use AI and machine learning) that are used to predict market moves to some extent.
It is hard to verify how successful they are since these are closely guarded secrets.
Many of them work under some conditions but fail when conditions change. Many work reliably but then stop working without a warning.
Even the best programs are not 100% accurate since even the best traders in the world often make losses. Nobody is able to make only profits consistently.
Earlier, many believed that as technology improved, faster computers would at least get better at predicting the markets.
That has not happened in any meaningful way so far.
Many investors believe that the markets will keep going up in the long run — and that has proven to be true so far.
These investors do not require AI or machine learning to make such opinions. They are more fundamentals based.
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