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Home Rich Text Editor modeaUDAIPUR CEMENT WORKS: Q4 EBITDA 1.13B RUPEES VS 706M (YOY) I| Q4 EBITDA MARGIN 23.28% VS 20.25% (YOY) UDAIPUR CEMENT WORKS: Q4 SL NET PROFIT 396M RUPEES VS 185M (YOY) I| Q4 REVENUE 4.84B RUPEES VS 3.48B (YOY) DWARIKESH SUGAR INDUSTRIES: Q4 REVENUE 4.6B RUPEES VS 3.8B (YOY) DWARIKESH SUGAR INDUSTRIES: Q4 SL NET PROFIT 460M RUPEES VS 229M (YOY) DEEPAK FERTILISERS & PETROCHEMICALS CORPORATION: CO DECLARES DIVIDEND OF RUPEES 10 DEEPAK FERTILISERS: Q4 EBITDA 4.8B RUPEES VS 4.4B (YOY) I| Q4 EBITDA MARGIN 18% VS 20.99% (YOY) DEEPAK FERTILISERS & PETROCHEMICALS CORPORATION: Q4 CONS NET PROFIT 2.77B RUPEES VS ITC: Q4 SL NET PROFIT 195.62B RUPEES VS 50.2B (YOY); EST now 49.6B | 56.38B (Q0Q) ITC: CO RECOMMENDED FINAL DIVIDEND OFF 7.85 RUPEES PER ORDINARY SHARE I TOTAL DIVIDEND FOR FY 2025 WOULD BE 14.35 RUPEES PER SHARE SUN PHARMA: CO RECOMMENDED FINAL DIVIDEND OF 5.50 RUPEES SUN PHARMA: Q4 EBITDA 37.16B RUPEES VS 30.35B (YOY): EST 36B || Q4 EBITDA MARGIN 28.68% VS 25.33% SUN PHARMA: Q4 CONS NET PROFIT 21.5B RUPEES VS 26.5B (YOY); EST 30.2B | 29B (Q0Q) SUN PHARMA: Q4 REVENUE 129.59B RUPEES VS 119.8B (YOY); EST 139.9B CENTUM ELECTRONICS: Q4 now EBITDA 423M RUPEES VS 187M (YOY) I| Q4 EBITDA MARGIN 11.57% VS 6.6% CENTUM ELECTRONICS: Q4 CONS NET PROFIT 215M RUPEES VS LOSS 69M (YOY); LOSS 193M (Q0Q) | Q4 REVE.. GOOGLE: EXPANDING CHOICE OF THIRD-PARTY MODELS AVAILABLE IN VERTEX AI MODEL GARDEN - BLOG I GOOGLE: CLAUDE OPUS 4 & CLAUDE SONNET 4 GENERALLY AVAILABLE AS A MODEL-AS-A- SERVICE OFFERING ON VERTEX THE RAMCO CEMENTS: CO RECOMMENDED A DIVIDEND OF 2 RUPEES PER EQUITY SHARE THE RAMCO CEMENTS: Q4 EBITDA 3.2B RUPEES VS 4.2B (YOY) I| Q4 EBITDA MARGIN 13.42% VS 15.6% (YOY) THE RAMCO CEMENTS: Q4 SL NET PROFIT 310M RUPEES VS 1.21B (YOY); 3.25B (Q0Q) || Q4 REVENUE 23.9B RUPEES VS.. GRASIM INDUSTRIES: CO HAS EXCEPTIONAL ITEM OF 7.15B RUPEES I| Q4 LBT 2.5B RUPEES VS PROFIT 3.3B (YOY) GRASIM INDUSTRIES: CO RECOMMENDED A DIVIDEND OF 10 RUPEES PER EQUITY SHARE GRASIM INDUSTRIES: Q4 EBITDA 2.2B RUPEES VS 5.27B (YOY) |I Q4 EBITDA MARGIN 2.48% VS 7.78% (YOY) GRASIM INDUSTRIES: Q4 SL NET LOSS 2.9B RUPEES VS LOSS 4.41B (YOY); LOSS 1.7B (Q0Q) || Q4 REVENUE OLA ELECTRIC: CO TO RAISE UP TO 17B RUPEES VIA PRIVATE PLACEMENT OF NCDS || FUND RAISING JPMORGAN'S DIMON. IN MEETING WITH CHINA'S HE: WILLING TO CONTINUE CULTIVATE CHINESE BITCOIN HITS NEW ALL-TIME PEAK NEAR $112,000, LAST UP 3.4% AT $119,924.07 GMR AIRPORTS: Q4 EBITDA 11.22B RUPEES VS 9.4B (YOY) II Q4 EBITDA MARGIN 39.21% VS 38.42% (YOY) GMR AIRPORTS: Q4 CONS NET LOSS 2.53B RUPEES VS LOSS 1.21B (YOY) I| Q4 REVENUE 28.63B RUPEES VS 24.47B (Y... Itc: Q4 SI Net Profit 195.62b 05:47 Rupees Vs 50.2b (Yoy); Est 49.6b | 56.38b (Qoq) || Q4 Revenue 184.94b Rupees Sun Pharma: Q4 Cons Net Profit 21.5b Rupees Vs 26.5b (Yoy); Est 30.2b | 29b (Qoq) |I Q4 Revenue 129.59b Rupees. Sun Pharma: Q4 Cons Net Profit 21.5b Rupees Vs 26.5b (Yoy); Est 30.2b | 29b (Qoq) |I Q4 Revenue 129.59b Rupees Container Corporation Of India: Q4 Cons Net Profit 2.98b Rupees Vs 3b (Yoy); 3.76 (Qoq) I| Q4 Revenue 22.9b Rupees Earnings today: 20 Microns, Advani Hotels & Resorts (India), Afcons Infra, Agarwal Industrial Corp, AlA Engineering, Anupa. Grasim Industries: Q4 SI Net Loss 2.9b Rupees Vs Loss 4.41b (Yoy); Loss 1.7b (Q0q) |I Q4 Revenue 89.25b Rupees Stocks in Ban: DIXON, MANAPPURAM, RBLBANK, TITAGARH DEVYANI INTERNATIONAL: Q4 REVENUE RUPEES 12.1B VS 10.5B (YOY) DEVYANI INTERNATIONAL: Q4 CONS NET LOSS 147M RUPEES VS LOSS 75M (YOY) bad DEVYANI INTERNATIONAL: Q4 EBITDA 1.86B RUPEES VS 2.06B (YOY) || Q4 EBITDA MARGIN 15.34% VS 19.69%
Description:
UDAIPUR CEMENT WORKS: Q4 EBITDA 1.13B RUPEES VS 706M (YOY) I| Q4 EBITDA MARGIN 23.28% VS 20.25% (YOY) UDAIPUR CEMENT WORKS: Q4 SL NET PROFIT 396M RUPEES VS 185M (YOY) I| Q4 REVENUE 4.84B RUPEES VS 3.48B (YOY) DWARIKESH SUGAR INDUSTRIES: Q4 REVENUE 4.6B RUPEES VS 3.8B (YOY) DWARIKESH SUGAR INDUSTRIES: Q4 SL NET PROFIT 460M RUPEES VS 229M (YOY) DEEPAK FERTILISERS & PETROCHEMICALS CORPORATION: CO DECLARES DIVIDEND OF RUPEES 10 DEEPAK FERTILISERS: Q4 EBITDA 4.8B RUPEES VS 4.4B (YOY) I| Q4 EBITDA MARGIN 18% VS 20.99% (YOY) DEEPAK FERTILISERS & PETROCHEMICALS CORPORATION: Q4 CONS NET PROFIT 2.77B RUPEES VS ITC: Q4 SL NET PROFIT 195.62B RUPEES VS 50.2B (YOY); EST now 49.6B | 56.38B (Q0Q) ITC: CO RECOMMENDED FINAL DIVIDEND OFF 7.85 RUPEES PER ORDINARY SHARE I TOTAL DIVIDEND FOR FY 2025 WOULD BE 14.35 RUPEES PER SHARE SUN PHARMA: CO RECOMMENDED FINAL DIVIDEND OF 5.50 RUPEES SUN PHARMA: Q4 EBITDA 37.16B RUPEES VS 30.35B (YOY): EST 36B || Q4 EBITDA MARGIN 28.68% VS 25.33% SUN PHARMA: Q4 CONS NET PROFIT 21.5B RUPEES VS 26.5B (YOY); EST 30.2B | 29B (Q0Q) SUN PHARMA: Q4 REVENUE 129.59B RUPEES VS 119.8B (YOY); EST 139.9B CENTUM ELECTRONICS: Q4 now EBITDA 423M RUPEES VS 187M (YOY) I| Q4 EBITDA MARGIN 11.57% VS 6.6% CENTUM ELECTRONICS: Q4 CONS NET PROFIT 215M RUPEES VS LOSS 69M (YOY); LOSS 193M (Q0Q) | Q4 REVE.. GOOGLE: EXPANDING CHOICE OF THIRD-PARTY MODELS AVAILABLE IN VERTEX AI MODEL GARDEN - BLOG I GOOGLE: CLAUDE OPUS 4 & CLAUDE SONNET 4 GENERALLY AVAILABLE AS A MODEL-AS-A- SERVICE OFFERING ON VERTEX THE RAMCO CEMENTS: CO RECOMMENDED A DIVIDEND OF 2 RUPEES PER EQUITY SHARE THE RAMCO CEMENTS: Q4 EBITDA 3.2B RUPEES VS 4.2B (YOY) I| Q4 EBITDA MARGIN 13.42% VS 15.6% (YOY) THE RAMCO CEMENTS: Q4 SL NET PROFIT 310M RUPEES VS 1.21B (YOY); 3.25B (Q0Q) || Q4 REVENUE 23.9B RUPEES VS.. GRASIM INDUSTRIES: CO HAS EXCEPTIONAL ITEM OF 7.15B RUPEES I| Q4 LBT 2.5B RUPEES VS PROFIT 3.3B (YOY) GRASIM INDUSTRIES: CO RECOMMENDED A DIVIDEND OF 10 RUPEES PER EQUITY SHARE GRASIM INDUSTRIES: Q4 EBITDA 2.2B RUPEES VS 5.27B (YOY) |I Q4 EBITDA MARGIN 2.48% VS 7.78% (YOY) GRASIM INDUSTRIES: Q4 SL NET LOSS 2.9B RUPEES VS LOSS 4.41B (YOY); LOSS 1.7B (Q0Q) || Q4 REVENUE OLA ELECTRIC: CO TO RAISE UP TO 17B RUPEES VIA PRIVATE PLACEMENT OF NCDS || FUND RAISING JPMORGAN'S DIMON. IN MEETING WITH CHINA'S HE: WILLING TO CONTINUE CULTIVATE CHINESE BITCOIN HITS NEW ALL-TIME PEAK NEAR $112,000, LAST UP 3.4% AT $119,924.07 GMR AIRPORTS: Q4 EBITDA 11.22B RUPEES VS 9.4B (YOY) II Q4 EBITDA MARGIN 39.21% VS 38.42% (YOY) GMR AIRPORTS: Q4 CONS NET LOSS 2.53B RUPEES VS LOSS 1.21B (YOY) I| Q4 REVENUE 28.63B RUPEES VS 24.47B (Y... Itc: Q4 SI Net Profit 195.62b 05:47 Rupees Vs 50.2b (Yoy); Est 49.6b | 56.38b (Qoq) || Q4 Revenue 184.94b Rupees Sun Pharma: Q4 Cons Net Profit 21.5b Rupees Vs 26.5b (Yoy); Est 30.2b | 29b (Qoq) |I Q4 Revenue 129.59b Rupees. Sun Pharma: Q4 Cons Net Profit 21.5b Rupees Vs 26.5b (Yoy); Est 30.2b | 29b (Qoq) |I Q4 Revenue 129.59b Rupees Container Corporation Of India: Q4 Cons Net Profit 2.98b Rupees Vs 3b (Yoy); 3.76 (Qoq) I| Q4 Revenue 22.9b Rupees Earnings today: 20 Microns, Advani Hotels & Resorts (India), Afcons Infra, Agarwal Industrial Corp, AlA Engineering, Anupa. Grasim Industries: Q4 SI Net Loss 2.9b Rupees Vs Loss 4.41b (Yoy); Loss 1.7b (Q0q) |I Q4 Revenue 89.25b Rupees Stocks in Ban: DIXON, MANAPPURAM, RBLBANK, TITAGARH DEVYANI INTERNATIONAL: Q4 REVENUE RUPEES 12.1B VS 10.5B (YOY) DEVYANI INTERNATIONAL: Q4 CONS NET LOSS 147M RUPEES VS LOSS 75M (YOY) bad DEVYANI INTERNATIONAL: Q4 EBITDA 1.86B RUPEES VS 2.06B (YOY) || Q4 EBITDA MARGIN 15.34% VS 19.69%
Visibility: public
Added: 2025-05-23 15:54:01 | Edited: 2025-05-23 15:54:01
Today I tried something that genuinely impressed me.
I successfully imported a 500 MB MySQL dump (.sql) into ClickHouse in less than 2 minutes.
The database contained 2,025,269 rows (over 2 million records), and the entire import completed successfully.
Honestly, I wasn't expecting it to be this fast!
Seeing over 2 million rows imported in such a short time was an amazing experience.
The migration wasn't completely perfect.
I found one small issue during the import.
For a few columns near the end of the table, ClickHouse automatically created generic column names such as:
Instead of the original MySQL column names.
Fortunately, this was a very small issue, and with the help of AI, I solved it within a few minutes.
I spent some time wondering why my import wasn't working.
The reason was simple.
❌ Don't keep your MySQL dump file on the Desktop.
Initially, my dump file was stored here:
Desktop/ip_table_data.sql
The import didn't work correctly.
After moving the dump file into ClickHouse's user_files directory, everything worked perfectly.
This small step saved a lot of troubleshooting time.
# 1. Navigate to your ClickHouse installation directory
cd /Users/a9844542127/Documents/db/clickhouse
# 2. Boot up your local ClickHouse server
clickhouse server
# 3. Open a new terminal tab and create the secure landing folder
mkdir -p /Users/a9844542127/Documents/db/clickhouse/user_files
# 4. Move your source MySQL dump from the desktop into the safe zone
mv /Users/a9844542127/Desktop/ip_table_data.sql /Users/a9844542127/Documents/db/clickhouse/user_files/
MySQLDump parsing query directly from your MacBook terminal. ClickHouse streams and compresses the dataset concurrently.
clickhouse client --database="bharatbaba_clickhouse_analysis" --query="CREATE TABLE ip_table_data ENGINE = MergeTree() ORDER BY tuple() AS SELECT * FROM file('ip_table_data.sql', 'MySQLDump')"
clickhouse client --database="bharatbaba_clickhouse_analysis" --query="SELECT count() AS total_rows FROM ip_table_data"
# OUTPUT: 2025269
Over 2 million rows successfully imported in seconds!Fixing the Column Name Issue
As mentioned earlier, ClickHouse renamed a few columns to:
- c1
- c2
- c3
- c4
- c5
Luckily, fixing this was very easy.
Rename the columns using the following commands.
Rename
c1toidTrap #2: The Missing Column Names Glitch
When checking the schema usingDESCRIBE ip_table_data, I noticed a strange formatting glitch: the database mapped the columns using generic sequential labels likec1,c2,c3,c4, andc5.Why This HappenedThis isn't a bug. Because a standard.sqlscript is a massive chain of procedural transactional data commands (INSERT INTO VALUES...), the streaming parser focuses heavily on reading raw row values. Without explicit schema mapping parameters, ClickHouse automatically falls back to positional column names.The Fix: Metadata RemappingBecause ClickHouse is a highly flexible columnar database, changing structural headers requires zero disk manipulation. It modifies database metadata instantly without needing to rewrite any of your 2 million production rows.Execute these quick metadata changes to match your live tracking architecture:# Rename c1 to the unique tracker identification key
clickhouse client --database="bharatbaba_clickhouse_analysis" --query="ALTER TABLE ip_table_data RENAME COLUMN c1 TO id"
# Rename c2 to parse traffic sources
clickhouse client --database="bharatbaba_clickhouse_analysis" --query="ALTER TABLE ip_table_data RENAME COLUMN c2 TO ip_address"
# Rename c3 to track network responses
clickhouse client --database="bharatbaba_clickhouse_analysis" --query="ALTER TABLE ip_table_data RENAME COLUMN c3 TO status_code"
# Rename c4 to log referral endpoints
clickhouse client --database="bharatbaba_clickhouse_analysis" --query="ALTER TABLE ip_table_data RENAME COLUMN c4 TO country"
# Rename c5 to organize analytics timeline events
clickhouse client --database="bharatbaba_clickhouse_analysis" --query="ALTER TABLE ip_table_data RENAME COLUMN c5 TO timestamp"
The Ultimate Confirmationclickhouse client --database="bharatbaba_clickhouse_analysis" --query="SELECT id, ip_address, country FROM ip_table_data LIMIT 10"
----------------------------------------DAY1-------------------
First Time I Heard About ClickHouse! | CLICKHOUSE is There in the Blue Planet 🌍 | My First Experience
Hello friends!
Good morning!
This is Jay Bharat from BharatBaba.com.
Today is 11th July 2026, and today I heard the name ClickHouse for the very first time in my life.
I have been working in software development for many years, but today I realized that CLICKHOUSE is there in the Blue Planet, and somehow I had never heard about it before!
Today, I attended the ClickHouse meetup called "Pipes, Streams, and Queries." After attending the session, I became very curious to explore this database.
As soon as I came home, I installed ClickHouse on my local computer and started experimenting with it.
To my surprise, the installation was simple, and within a short time I created my first database, created tables, inserted records, and successfully retrieved the data.
What makes me even happier is that everything is running on my old MacBook Pro 2014.
Yes, my laptop is more than ten years old, but ClickHouse is working smoothly and saving all the data locally without any problems.
In this video, you can see all the screenshots showing my installation process, database creation, table creation, data insertion, and query results.
This is only the beginning of my ClickHouse learning journey.
My next goal is to build a complete demo project with a frontend, backend, and ClickHouse database. I want to see how well it performs in a real-world PHP application.
I am really excited about this project. I couldn't stop myself from making this video immediately after completing my first successful test.
Once the project is ready, I will upload the complete source code to GitHub and share the repository link with everyone.
If you are also exploring modern databases or hearing about ClickHouse for the first time, let's learn together.
If you enjoyed this video, please Like, Share, and Subscribe for more AI, database, PHP, full-stack development, and technology videos.
Thank you for watching.
This is Jay Bharat from BharatBaba.com.
See you in the next video.
TAGS='ai','coding','database','prompt','vibecoding'
TAGS='ai','database','prompt','coding','vibecoding'
Mistral AI Review for Developers | My First Impression
Hello friends!
Good morning! This is Jay Bharat from BharatBaba.com.
Today, I want to talk about a new AI tool called Mistral AI.
I recently tested Mistral AI to see how good it is for software development. Since I'm a PHP Full Stack Developer, I wanted to evaluate the quality of the code it generates.
For my test, I asked it to create a responsive Hospital Management Registration System using HTML, CSS, PHP, and MySQL.
I was genuinely impressed with the results.
It didn't just generate HTML and CSS. It also created the PHP backend, the MySQL database structure, and well-organized code. Everything was produced very quickly, and the code quality looked quite good.
From my first experience, I found Mistral AI to be a powerful coding assistant, especially for web developers.
However, I did notice one limitation.
The free version currently does not provide IDE integration. Earlier, the company offered more developer-focused coding assistance, but now IDE features appear to be available only in paid plans. If you like AI assistance directly inside your code editor, this is something to keep in mind.
So, how did I discover Mistral AI?
Yesterday, I was reading the latest TCS quarterly results and noticed that TCS has announced partnerships with several AI technologies, including Mistral AI, cloud technologies, and ServiceNow.
I was already familiar with cloud platforms and ServiceNow, but Mistral AI was new to me. That made me curious, so I decided to test it myself.
After using it, I can say that my first impression is very positive. If you're a PHP developer, web developer, or someone looking for a fast AI coding assistant, Mistral AI is definitely worth trying.
If you found this video helpful, please Like, Share, and Subscribe for more AI tool reviews, programming tutorials, and technology updates.
Thank you for watching!
Jay Bharat
www.bharatbaba.com
TAGS='ai','coding','vibecoding','prompt'
SBI (-2.04%) : Funds Management Files RHP For ₹IPO; SBI Plans To Sell As Much As 10% Stake Through OFS, Offering Opens July 14 And Closes July 16
TAGS='Sharenews'
Ideaforge Technology (-1.66%) : Opens QIP With Floor Price Set At ₹835.86 Per Share And May Include Up To 5% Discount; Final Issue Price To Be Determined With Book Running Lead Managers.
TAGS='Sharenews'
3. Trump Toll in Hormuz 20%, Now Trump is asking (Fire in Crude price)
Hero and villain are fighting.
Whoever wins, will take away heroine.
Then who is the hero?
US and Iran fighting.
Whoever wins will collect tolls.
Then who is the hero?
2. Tamil Nadu-Cm VIJAY I like his policy on Tender transparency. It might be role model of India. IIM's study topic.
1. So finally KA govt realise and scruttning on Free Electricity scheme- Its burden on Govt treasury Fiscal. Any how free cake is not good.
TAGS='news'
Share news business news
Total: 210 items — 123 green, 53 red, 34 yellow.
210 items • Red = odd, Blue = even • Order unchangedShare News – 6 July 2026
TAGS='Sharenews'
How to use token wisely
ai.md
You can see this video more.

/images/loaded/media/cursor-token-hack-melting-slowly-use-wisely.mp4
https://bharatbaba.com/images/loaded/media/cursor-token-hack-melting-slowly-use-wisely.mp4
TAGS='coding','ai'
Block Deals 1-3 July 2026 – Mobile (40 items)
TAGS='Deal'
Buying property always not good. This company marketing since 2012 they are coming calling till now they are putting pumplate in news paper that time one person put in 2012 by 700 Rs Sq Ft he bought 2000 sq ft in 14 Lakhs after 14 years price is 900 Sq ft not great very bad investmant. https://www.youtube.com/watch?v=QljYl75cHNY
bsnl society propert rate bangalore yalahanka
Since they are marketing till now so I was thinking and got inttrest what is profit or loss in 14 years.
TAGS='realestate'
Share idea
5.Har kutte ka ek din aata hai today 15 July 2026
I am able to buy TATAELEXI which I said 10 July 2026 , Friday.
| CNC | TATAELXSI EQ HOLDING | 2 | 3,506.00 | 3,512.10 | +12.20 |
4.Monday market will be open down 300 point minimum on 12 July 2026 . I am thinking at Sunday 11 July 8 :48 AM
3. Many of you are asking idea which to buy if you are intrested on Chip and Indian AI then
cg power packaging buy at 886
Moschip technologies buy at 225
Vedanta (Stay away now)
kaynes technologies buy 3173 now good price to buy
tata elxsi buy at 3600
amber enterprises buy at 7100
polycab india buy now or at 9000
abb india (careful Operator stock volume around 1 lakh today) u can risk buy at 6700
https://www.youtube.com/watch?v=1PD5fdnGRJQ
2026-07-10 |
POLYCAB NSE | SINGLEBUY |
8,749.50-5.01%
|
|
9,210.50 | 2 | ACTIVE | ||
| 2026-07-10 | AMBER NSE | SINGLEBUY |
7,390.00-5.00%
|
|
7,779.00 | 2 | ACTIVE | ||
| 2026-07-10 | TATAELXSI NSE | SINGLEBUY |
3,505.70-5.00%
|
|
3,690.30 | 2 | ACTIVE | ||
| 2026-07-10 | KAYNES NSE | SINGLEBUY |
3,169.20-5.00%
|
|
3,336.10 | 2 | ACTIVE | ||
| 2026-07-10 | MOSCHIP NSE | SINGLEBUY |
224.97-5.00%
|
|
236.82 | 2 | ACTIVE | ||
| 2026-07-10 | CGPOWER NSE | SINGLEBUY |
870.75-5.00%
|
|
916.60 | 2 | ACTIVE | ||
| 2026-07-09 | NUVAMA NSE | SINGLEBUY |
1,839.60-6.98%
|
|
1,977.60 | 1 | ACTIVE | ||
| 2026-07-09 | BORORENEW NSE | SINGLEBUY |
613.70-4.19%
|
|
640.55 | 1 | ACTIVE | ||
| 2026-07-08 | PRAJIND NSE | SINGLEBUY |
340.10-4.41%
|
|
355.80 | 10 | ACTIVE | ||
| 2026-07-08 | TRENT NSE | SINGLEBUY |
2,866.40-1.25%
|
|
2,902.80 | 1 |
2. Monday/4 July I think Adani ports need to short because of Kerala Mangimam port issue to NewZeeland by Kerala Govt but later it will go up.
1. If the market experiences a significant decline of 200–300 points on the monthly expiry day, it is historically observed to rebound by at least 100 points on the following trading day
TAGS='businessidea'