KshamaParvana

@OrderFlowtalks By when target expected?

Said it on Thursday—the day’s NIFTY profile had three clear signals pointing to a downside move. Market Profile is full of such clues if you know where to look. Still expecting 23750 Fut; just hoping we don’t get another round of shakeouts before that.

@rakekmr1 Holding?

SL 69.9 Tgt 179/249 Watch 5 May Nifty 24100 CE now 102

@Siddurp2 What about tofu 200gm??

@directional88 If you're eating normal paneer check your lipid profile

If you're eating normal paneer instead of low fat paneer daily, please keep checking your lipid profile every 3 months 🙂

@Siddurp2 An you tell me anything to beware of?

@KommawarSwapnil How to point these levels?

Nifty as per fibbo in the recent V-shape recovery Marked just fibbo for levels.

@Rishabhh005 May end??

START PREPARATION OF 20500-19500 #Nifty50

@abhi2010ahm What do u think 24k by when? According to waves?

#giftnifty 24800 Monday again gapup

@JKhurkhuriya Sirji offline itne din??? Nifty pen bhi tweet kardo kucj

@rahul_saggi Can we go long in Nifty?????

#CRUDEMCX expected max 9000-9335 Did 8879/- and cracked to 8300/-

@FibTraderR Next expected range??

@directional88 No bro I am not carrying I am just asking 👍

⚠️ Important Nifty Advice If you are planning to buy, don’t rush. 👉 Avoid buying until Nifty breaks and sustains above this resistance zone. 📊 This is a Fibonacci + key resistance area ➡️ Below this level, the market bias remains bearish Smart traders wait for confirmation, not guesswork. #Nifty #FibTraderR

@JKhurkhuriya Sir silent since many days????

@FibTraderR Can u explain few in a post??

@directional88 There are multiple methods to draw Fibonacci

📊 NIFTY UPDATE: Kya 50% Zone se aayegi Selling? Sharp decline ke baad Nifty ne achi recovery dikhayi hai, lekin ab market ek important technical zone ke paas aa raha hai. 👀 📍 Key Resistance Zone 24,356 – 24,400 Ye area important hai kyunki: ➡️ Ye Daily Time Frame ka 50% Fibonacci retracement zone hai ➡️ Yahi previous swing resistance bhi hai ➡️ Isliye is zone ko break karna itna aasaan nahi ho sakta Agar price is area tak pahuchta hai, to wahan se selling opportunity bhi dekhne ko mil sakti hai. 📉 📊 Confirmation Level Ab sabse important level hai: 24,010 Region Agar Nifty 24,010 ke upar close karta hai, to chances strong ho jayenge ki price 24,356 – 24,400 resistance zone tak move kare. Filhaal chances upside ki taraf ke high lag rahe hain, lekin confirmation zaruri hai. 📌 Important Learning 50% Fibonacci level market me ek important psychological zone hota hai. Kai baar yahi se trend continuation ya rejection dekhne ko milta hai. Isliye traders ko is level par price action dhyan se observe karna chahiye. ⚠️ Ye sirf market view hai, koi trade recommendation nahi. 👉 Agar aapko daily Nifty analysis aur Fibonacci based insights chahiye, to follow zarur karein. 📈 #Nifty #FibTraderR

you literally have the best of bowling....why playing a loosed up bowling unit KKR?!!!???😐 #ipl #srk

@JKhurkhuriya U still think market can touch 23k by expiry sirji?

@law_ninja This tweet should get viral

India has roughly 700 district courts. None of them talk to each other. A woman in Gurugram filed 7 rape cases against 7 different men at 7 different police stations over 14 months. Each police station investigated independently. Each one treated it as a fresh complaint. Nobody checked if this complainant had filed before. She was running an extortion racket with her mother and uncle. The men would get a call. A meeting. Then a rape FIR. Then a demand for money to withdraw the case. If you paid, the case went away. If you did not, your life was destroyed. Seven men. Seven FIRs. Seven police stations in the same city. And it took 14 months for anyone to connect the dots. In Sonipat last year, 9 people were arrested including 4 women and 2 lawyers for extorting Rs 40 lakh from a factory owner using a false rape case. The gang had been operating across Haryana and Punjab. 54 cases across two states. Nobody noticed the pattern. In Jabalpur, one woman filed 6 rape cases against 5 different men over 6 years. Six different investigations. Six different courts. Same complainant. In Goa, 3 accused were filing fake rape complaints across Goa and Gujarat against different people. Different states. Different police. Same racket. These are not isolated incidents. These are systematic failures of a legal system where no court, no police station, and no district has any idea what is happening in the court, police station, or district next door. A person can file an FIR in Gurugram, another in Faridabad, another in Jaipur, and another in Chandigarh. Four different police forces. Four different investigations. Four different prosecutors. Four different judges. Nobody will ever know about the other three unless someone accidentally finds out. The same thing happens in civil litigation. A company can be sued for the same fraud in Bombay, Delhi, and Bangalore. Three plaints. Three courts. Three sets of lawyers. The judges in each case have no idea the same matter is pending in two other courts. The company may even get contradictory orders. Property disputes are the worst. The same land is litigated in revenue courts, civil courts, and consumer forums simultaneously. Different parties claim ownership in different jurisdictions. Nobody cross-references. Matrimonial cases. A wife files for maintenance in family court in one city. Files a DV case in another district. Files a 498A in a third. Each court sees only its own case. The husband is fighting three simultaneous battles and no judge sees the full picture. This is not a technology problem. The data exists. Every FIR is logged. Every case is registered on eCourts. Every complaint has a name, an Aadhaar number, an address. The problem is that nobody is connecting the data across jurisdictions. Now think about what happens when AI reads across all of this. Take the Gurugram woman. She filed 7 FIRs with her name and Aadhaar. If a system existed that flagged any complainant who files more than 2 FIRs with the same sections across different police stations within 24 months, she would have been flagged on complaint number 3. Not complaint number 7. Her victims 4, 5, 6, and 7 would never have been falsely accused. Their lives would not have been destroyed. Take the gang operating across Haryana and Punjab. 54 cases. Same modus operandi. Same phone numbers appearing in different FIRs. Same associates named as witnesses. If an AI system was reading every FIR filed across both states and flagging patterns — same complainant, same phone numbers, same witnesses appearing in unrelated cases — the racket would have been caught in the first quarter. Take the civil litigation problem. A lawyer preparing a case could feed the opposing party's name into a system that checks eCourts across all 700 district courts and all 25 High Courts. Instantly know if the same party is litigating the same issue elsewhere. If they have prior cases. If they have a pattern of filing and settling. If they have contradictory claims in different courts. This is not futuristic. The eCourts database already has this data. Party names. Case types. Filing dates. Sections invoked. Hearing histories. It just has no cross-referencing layer. A single AI system reading across the eCourts database could: Flag serial complainants who file similar FIRs across multiple police stations. Identify the same property being litigated in multiple courts simultaneously. Detect contradictory claims by the same party in different jurisdictions. Alert judges when a matter before them is substantially similar to a matter pending in another court. Map litigation patterns of companies and individuals across the country. The technology to build this exists today. The data to feed it exists today. The eCourts system even recently released APIs and MCP integration that make accessing this data programmatically possible. Nobody has built it. Not because it is hard. Because the Indian legal system still operates as if each court is an island. Each district a country. Each state a continent. 700 courts. Millions of cases. Zero cross-referencing. Every false case that succeeds because nobody checked if the complainant has done this before. Every property fraud that works because nobody connected the dots across districts. Every extortion racket that runs for years because 54 cases across two states were never linked. All of it is a failure of connecting data that already exists. The person who builds this cross-referencing layer will not just create a legal tech product. They will fix a structural flaw in the Indian justice system that has been destroying lives for decades. The data is there. The courts just need to start talking to each other. Or someone needs to build the system that makes them.

@ShivaVuyyuru bnf high is BRN sir now...what to do

@ShivaVuyyuru Market rallied man!!

1. Today's High of Nifty Futures is 22799.50F which is a typical Smart Money Algo creation 2. Nifty Futures made a short term TOP at 22799.50F as per my analysis 3. I am Fully short in Nifty Futures for bigger downside targets 4. Stoploss:22799.5F