An introduction to NSE bhavcopy data — what it is, what it captures, and how turning it into structured insights helps traders and investors read the market with more clarity.
Weekly futures and options wrap for 10 to 14 August 2026. Stock futures leaned toward Short Buildup even more than last week, both NIFTY and BANKNIFTY futures showed the same tilt at the index level, and Bharat Forge stood out with a bearish read in both futures OI and options PCR the same week.
Weekly NSE data wrap for 10 to 14 August 2026. ETF breadth turned negative and turnover faded through the week, corporate bonds extended their rally into a third straight week, two SME stocks posted sustained multi day rallies, and large ownership transfers in Tenneco Clean Air India and Dr Agarwal's Health Care stood out in smart money activity.
Backtested 155,456 turnover floored futures contract days from the OI buildup framework that runs on bhavcopydata.com every day, comparing what each label implied against what actually happened over the next 1, 3 and 5 trading days.
I built two machine learning models on 160,315 ETF trading days from bhavcopydata.com to see whether today's insights can predict tomorrow's gap at open. Here is what worked, what did not, and why plain accuracy was the wrong number to trust.
Insights from bhavcopydata.com on 17 fresh options signals across 13 NSE stocks between 27 July and 07 August 2026. Every single one showed options pricing a smaller move to expiry than the stock's own recent trading range implied, even for names near their richest IV Rank of the past year.
Weekly futures and options wrap for 3 to 7 August 2026. Stock futures leaned toward Short Buildup for the week, NIFTY's front weekly options PCR nearly halved from 1.34 to 0.73, and Adani Green Energy futures showed bearish positioning the same week its large block deal transfer made news.
Weekly NSE data wrap for 3 to 7 August 2026. Silver and global tech ETFs rebounded from last week's losses, 43 corporate bonds touched new 52 week highs, SME breadth stayed mixed, and two large block deal transfers, in Adani Green Energy and CreditAccess Grameen, stood out in smart money activity.
Monthly NSE SME data wrap for July 2026. Turnover rose 3.1% from June. Breadth stayed slightly negative, and two large single day drops turned out to be corporate actions.
Weekly NSE data wrap for Jul 27–31, 2026. IT-themed ETFs rallied together while Nasdaq-linked funds pulled back, 35 corporate bonds touched new 52-week highs, SME's OPTIVALUE gained 63.6% on sustained smart-money buying, and an early investor exited IIFL in a clean institutional handoff.
We hypothesized earlier that a 52-week high is not a buy signal on its own. So, we went back to every ETF and SME stock that hit a fresh 52-week high in the first week of May 2026 and analyzed what happened next.
What do smart money trades look like? Three bulk-deal trades from NSE data - two that worked, one that did not - and how to tell the difference before the fact, not after.
SME-listed stocks are not just smaller mainboard companies. The trading mechanics, liquidity, and volatility are genuinely different. Here is what you should know before you look at the data.
Weekly NSE data wrap for Jul 20–24, 2026 — silver ETFs led gainers while banking ETFs lagged, corporate bonds firmed on thin volume, SME breadth turned negative, and a large post-listing exit dominated smart money flow.
What the Active/Moderate/Very Thin liquidity badges on corporate bond data actually mean, how they are calculated, and why turnover alone is not enough to call a bond liquid.
A new 52-week high or low tells you where a price sits relative to its own past year, nothing more. This is what our position % metric actually measures, and why it is not a verdict on its own.
Block deals and bulk deals both show up as 'big trades' in NSE data, but they mean different things. Read on to tell them apart and understand them correctly.
Based on NSE bhavcopy data, KOTAK PSU BANK ETF appeared to have dropped 90% in a single session. What actually happened? and how we did we read the numbers to tell a split from a crash?