Vishal Mehta, CMT ✓

@vishalmehta29 · Mumbai, India · joined 29 Apr 2010

📈 Algo Trader | Market Educator 💡 Decode Markets with Step-by-Step Learning 🎯 Trade Smarter. Invest Better. 🌐 Learn • Apply • Grow

53 191Followers

740Following

11 013Posts total

24.6KViews on collected posts

Neueste Beiträge

Vishal Mehta, CMT ✓@vishalmehta298 Sep

@vishalmehta29 @TusharWasake Yeah only govt and exchange is making money.... Exchange charges are also high 58 views · 1 likes · 0 reposts · 0 replies Open on X →

Vishal Mehta, CMT ✓@vishalmehta298 Sep

@vishalmehta29 @TusharWasake So true 92 views · 1 likes · 0 reposts · 0 replies Open on X →

Vishal Mehta, CMT ✓@vishalmehta298 Sep

The controversial truth about trading nobody talks about. 📈 One of my followers, Tushar - Founder of Desi Captions, asked me a very interesting question: “Is the stock market really a zero-sum game?” 🤔 So, let’s settle the debate. Watch till the end! 🎯 What do you think - htt

0:48

5.3K views · 23 likes · 2 reposts · 2 replies Open on X →

Vishal Mehta, CMT ✓@vishalmehta295 Sep

⏳ Last day to enroll - The Hidden Edge Most traders stare at the same charts every day… and never notice the one thing hiding in plain sight. 👀 In this session I'll show you a market edge so simple you'll wonder why nobody talks about it - and how I put it to the test with 2.5K views · 5 likes · 1 reposts · 3 replies Open on X →

Vishal Mehta, CMT ✓@vishalmehta294 Sep

@vishalmehta29 If derivatives have to be detached from it's underlying, then what kind of price discovery that is? If CAS comes up with a price discovered by a minority which majority disagrees with, and which has to be corrected by next day pre-open, then what purpose does CAS s 93 views · 0 likes · 0 reposts · 0 replies Open on X →

Vishal Mehta, CMT ✓@vishalmehta294 Sep

@vishalmehta29 No. The first job of a regulator is to recognise the drawbacks and risks of any mechanism—whether temporary or structural. CAS should first have been market-tested to establish whether there were enough participants and sufficient liquidity to make the mechanism vi 380 views · 2 likes · 1 reposts · 1 replies Open on X →

Vishal Mehta, CMT ✓@vishalmehta294 Sep

@vishalmehta29 Written using chat gpt ? 227 views · 1 likes · 0 reposts · 0 replies Open on X →

Vishal Mehta, CMT ✓@vishalmehta293 Sep

SEBI will issue a consultation paper in about a week on the methodology for determining settlement prices of derivative contracts. The stated area of feedback: settlement of contracts on expiry based on the CAS closing price. And SEBI has put on record that feedback reached it 11.9K views · 56 likes · 4 reposts · 8 replies Open on X →

Vishal Mehta, CMT ✓@vishalmehta293 Sep

₹72,000 crore left the retail side of the table last year. It didn't vanish. Someone collected it. 📉 As per SEBI and BSE-NSE data (FY26): • Individual F&O traders lost ~₹72,000 Cr in equity derivatives • Prop firms made +₹44,000 Cr • FPIs made +₹14,000 Cr • And ~99% of 4.2K views · 12 likes · 3 reposts · 3 replies Open on X →

Vishal Mehta, CMT ✓@vishalmehta297 May 2022

#Journey : 3 Years ago I quit my well-paying job at MNC and jumped into Full-Time Trading. I going to put out everything that may help you to shorten your learning curve. Please share your love by liking and retweeting if you find it useful to you and your followers. 0 views · 6.7K likes · 1.8K reposts · 175 replies Open on X →

Im Vergleich zu Konten gleicher Größe

9 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. liegt bei Reichweite und Interaktion unter vergleichbaren Konten.

Medianaufrufe380dieses Konto936Median für 10K–100K

Reichweite, %0.71%dieses Konto3.54%Median für 10K–100K

Interaktion, %0.51%dieses Konto1.95%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	380	936	0.41×
Reichweite (Aufrufe ÷ Follower)	0.71%	3.54%	0.20×
Interaktionsrate	0.51%	1.95%	0.26×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

4.2K3 Sep

11.9K

2274 Sep

380

2.5K5 Sep

5.3K8 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.43%3 Sep

0.58%

0.44%4 Sep

1.05%

0.00%

0.37%5 Sep

0.51%8 Sep

1.09%

1.72%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.95%.

What the audience does

Likes66.9%101 in total

Reposts7.3%11 in total

Replies11.3%17 in total

Quotes0.7%1 in total

Bookmarks13.9%21 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Ähnliche Konten