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Definedge

@Definedge · India · joined 04 Mar 2013

We don’t just talk about Stock Market, we build tools for them! Definedge Securities Broking Pvt. Ltd. SEBI Reg. No.: INZ000218137

27 302Followers
12Following
7 024Posts total
11KViews on collected posts

Posts recentes

Maybe that’s the real lesson from these 11 periods. Boring doesn’t necessarily mean bad. Markets don’t have to reward you every month to reward patience over time. Sometimes, investing is just about staying patient when nothing seems to be happening. Because markets change. 238 views · 1 likes · 0 reposts · 0 replies Open on X →
But before you look at those historical numbers and get excited… This is NOT saying Nifty will return 25% next year. History gives us a pattern, not a promise. - Valuations change - Interest rates change - Economic conditions change And even if Nifty rises, that doesn’t mean 282 views · 1 likes · 0 reposts · 1 replies Open on X →
Now come back to today. From Aug 2024 to Aug 2026, Nifty’s 2-year CAGR in this data is around -2.4%. In simple words: Almost 2 years. Almost no return. And when markets behave like this for long enough, patience naturally starts running out. 76 views · 2 likes · 0 reposts · 1 replies Open on X →
That’s when questions start creeping in: “Should I just exit?” “Am I wasting my time?” “Should I move into whatever is performing right now?” A falling market tests your risk tolerance. But a boring market tests your patience. And that can be just as difficult. 78 views · 1 likes · 0 reposts · 1 replies Open on X →
We looked for periods where Nifty had basically gone nowhere for 2 years with its 2-year CAGR around zero or negative. We found 11 such instances. And after every single one of them, the next 1-year return was positive. https://t.co/aMycpSqbXx 285 views · 3 likes · 0 reposts · 1 replies Open on X →
And these weren’t always small moves. The next 1-year returns ranged from: +5% to +50% The average across all 11 instances was around +25%. A few examples: 2014–16 → +29% next year 2018–20 → +42% Another 2018–20 period → +50% The boring period eventually looked very 177 views · 3 likes · 0 reposts · 1 replies Open on X →
Boring markets make investors impatient. And impatience is usually where bad decisions begin. Nifty has now spent almost 2 years going nowhere. So we looked back at the last 11 similar “boring” periods. What happened next was interesting. 🧵👇 https://t.co/aKsp7jkje2 2.2K views · 11 likes · 0 reposts · 1 replies Open on X →
A strong move. A pause. Then another move. What if that price structure itself could help you spot a potential momentum continuation? In this video, @VijayThk and @rajran06 discuss the ABC Concept, a powerful way to identify momentum, consolidation, and potential breakout https 1.6K views · 9 likes · 1 reposts · 1 replies Open on X →
You’re only seeing the surface. The Spot chart shows you what price is doing. But beneath that move, the options market may be telling a different story. That’s where PCR & Weighted PCR become interesting. https://t.co/9OF80XYc9Q 2K views · 4 likes · 0 reposts · 1 replies Open on X →
You know Put-Call Ratio. But are you actually reading it? Most traders look at PCR as a number. - Bullish above X. - Bearish below Y. Done. Move on. But the interesting part isn't the number. It’s what happens when PCR/WPCR reaches extremes, forms local highs/lows and starts h 1.3K views · 2 likes · 0 reposts · 0 replies Open on X →
And if numbers feel too crowded, switch the same data into a Performance Chart. Now the comparison becomes visual. In this 5-year view, you can instantly see which stocks led the group and which lagged behind. https://t.co/m0CKybuhxI 240 views · 1 likes · 0 reposts · 1 replies Open on X →
The real advantage? You don’t have to judge performance from one chart at a time. You can compare the whole group, choose the timeframe, shortlist stocks, save them as a group, or export the data for deeper research. Explore it in RZone: Table → Performance Table https://t.co/ 217 views · 1 likes · 0 reposts · 0 replies Open on X →
Take the Tata Group as an example. The table instantly shows how each stock has performed across different periods. You can quickly spot: → Recent strength → Long-term outperformers → Stocks losing momentum → Stocks that look weak short-term but strong long-term That https://t 92 views · 1 likes · 0 reposts · 1 replies Open on X →
Want to study one specific period? You can also choose your own: Start Date → End Date Then compare performance only for that period. Useful when you want to answer questions like: “Which Tata stock performed best in the last 5 years?” or “Which stock has led since a specific 38 views · 1 likes · 0 reposts · 1 replies Open on X →
Instead of checking stocks one by one, you can compare an entire group across multiple periods in one place. Daily. Weekly. Monthly. 6 Months. 1 Year. 3 Years. 5 Years. 10 Years. So you’re not looking at just one timeframe. You’re seeing the bigger picture. 176 views · 2 likes · 0 reposts · 1 replies Open on X →
A stock can be a winner over 10 years and still be a loser over the last 1 year. So when someone says, “This stock has performed well.” The first question should be: “Over what period?” Here’s how you can compare multiple timeframes at once. 👇 https://t.co/EFboX9CwHJ 2K views · 6 likes · 0 reposts · 1 replies Open on X →

Em comparação com contas do mesmo porte

16 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. abaixo dos pares tanto em alcance quanto em engajamento.

Mediana de visualizações239esta conta1 095mediana para 10K–100K
Alcance, %0.88%esta conta3.94%mediana para 10K–100K
Engajamento, %0.77%esta conta1.68%mediana para 10K–100K
MétricaEsta contaMediana para 10K–100KProporção
Mediana de visualizações por post2391 0950.22×
Alcance (visualizações ÷ seguidores)0.88%3.94%0.22×
Taxa de engajamento0.77%1.68%0.46×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

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

382 Sep
92
217
240
1.3K
2K3 Sep
1.6K
2.2K4 Sep
177
285
78
76
282
238

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

5.26%2 Sep
2.17%
0.46%
0.83%
0.15%
0.25%3 Sep
0.69%
0.56%4 Sep
2.26%
1.40%
2.56%
3.95%
0.71%
0.42%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.68%.

What the audience does

Likes68.1%49 in total
Reposts1.4%1 in total
Replies18.1%13 in total
Bookmarks12.5%9 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.

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