#PIDILITIND long term chart, sustaining below 2100, can fall towards 1500 over time, Weekly RSI & MACD quite weak, stock has pulled back to breakdown level

#Nifty #stock #stocks
Not trading call, academic post

1/People I know on the Right tend to be obsessed with the idea of "crimethink", taboos, and the (supposedly) oppressive, omnipresent enforcement of liberal cultural norms.

Why?

My new theory: A lot of it is guilt.

2/It's true that in some circles - the media, universities, many big corporations - liberal norms *are* enforced to some degree, and the enforcement has probably gotten stronger in recent years.

But I don't think this explains all of the Right's obsession.

3/The stereotype is that people on the Right tend to be more threat-sensitive. That would help explain the perception that liberal norm-enforcers are lurking everywhere, ready to pounce and anathematize anyone who makes a misstep.

But I don't think that's all of it either.

4/And of course, it's always fun - whether you're on the Right or the Left, or playing a video game, or whatever - to style yourself as the brave iconoclastic rebel fighting against the oppressive forces of blah blah blah.

But I don't think this is all of it, either.

5/The reason I think it's more than these things is that even *in private*, people on the Right express their "crimethink" ideas very gingerly and hesitantly.

I get the sense that they're not just afraid of external censure, but have also internalized liberal norms.

𝙎𝙝𝙖𝙧𝙞𝙣𝙜 𝙢𝙮 𝙬𝙞𝙨𝙙𝙤𝙢 𝑾𝒐𝒏'𝒕 𝒃𝒆 𝒔𝒖𝒓𝒑𝒓𝒊𝒔𝒆𝒅 𝒊𝒇 𝒕𝒐𝒎𝒐𝒓𝒓𝒐𝒘 𝒖 𝒓𝒆𝒂𝒅 𝒕𝒉𝒆 𝒔𝒂𝒎𝒆 𝒔𝒕𝒖𝒇𝒇 𝒊𝒏 50𝒌 𝒘𝒐𝒓𝒌𝒔𝒉𝒐𝒑 𝒐𝒓 𝒔𝒐𝒎𝒆𝒐𝒏𝒆 𝒎𝒂𝒏𝒂𝒈𝒊𝒏𝒈 𝒚𝒐𝒖𝒓 𝒎𝒐𝒏𝒆𝒚 𝒘𝒊𝒕𝒉 𝒔𝒂𝒎𝒆 𝒍𝒐𝒈𝒊𝒄
Simple and effective way 2 make Money

Idea 1:- Use pivot level like 14800 in case of nifty and sell 14800straddle monthly expiry (365+335) exit if nifty closes on daily basis below S1 or above R1

After closing below S1 if it closes above S1 next day or any day enter the same position again vice versa for R1

Idea2:- Use R1 and S1 corresponding strikes multiple
Incase of R1 15337 take 15300ce
N in case of S1 14221 use 14200pe
Sell both and hold till expiry or exit if nifty closes below S1 or above R1 around closing
If the same bounces above S1 and falls below R1 re-enfer same strikes

Use same criteria for nifty, usdinr and banknifty

(This is must)Use this margin rule for 1lot banknifty pair keep 4Lax margin
For nifty one lot keep 3Lax
For usdinr 100lots keep 4Lax

I bet you if you do this on consistent basis your ROI will be more than 70% on yearly basis.

Couldn't explain easier than this

Criticisms are most welcomed.

Santkumaras-The four adorable kids of the Universe.

The Kumaras r the four sages who roam the Universe as children from the Puranic texts of Hinduism named,Sanaka, Sanatana,Sanandana& Sanatkumara.They r described as the first mind-born creations &sons of the creator God Brahma.

Brahma,who had received the knowledge of Puranas from the Universal being(God Himself), imbibed this to his 4 Kumaras.
Sanat Kumaras then taught the Puranas to Narada.Narada transmitted it to Krishna Dwaipayana who in turn scripted them in monumental epic documents of 18 Puranas.

The Vishnu Purana is recorded in two parts,the Vishnu Purana & Naradiya Purana.The teachings of Sanaka of the Kumara brothers r contained in the Naradiya Purana which is also divided in two parts, the first part containing the teachings of Sanaka &second part,teachings of others.

Born from Brahma's mind,4 Kumars took lifelong vows of celibacy against their father's wishes.They r said to wander throughout materialistic &spiritualistic universe without any desire but with the aim to teach.All 4 brothers studied Vedas from their Childhood&travelled together.

The Bhagwata Purana lists the Kumaras among the 12 Mahajanas(great devotees or bhaktas) who although being eternally liberated souls from birth, still became attracted to the devotional service of Vishnu from their already enlightened state.

1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.