The argument — with proof

~11 min read

The Nifty fell 6.5%. Most NSE stocks quietly collapsed. Same ten months.

Between September 2021 and July 2022 the Nifty barely moved, but the Stage-2 share of the NSE universe fell from 62% to 9.3% — an 85% breadth wipeout the index hid in plain sight. This page walks through what the breadth data actually said: before March 2020, during the 2021–22 stealth bear, and on YES BANK month by month.

Years of NSE data

18+

since 17 Sep 2007

Sessions tracked

4,591

end-of-day, every NSE day

Days S2 share < 10%

619

13.5% of all sessions

All-time low S2 share

0.5%

10 Dec 2008

Live NSE data · source: stage2stocks.com

Chapter 01

YES BANK — the fall the chart called in real time.

Most money lost on NSE is not lost in a crash that no one saw coming. It is lost slowly, in stocks whose charts had been warning for months — while the index and the headlines insisted nothing was wrong. Stage analysis is the discipline of reading that warning: where price sits against a rising or falling 150-day moving average, one rule, decades old. The interesting question is not whether retail traders did something wrong. It is what their charts looked like before the loss compounded. YES BANK between August 2018 and March 2020 is one example — a ₹393 stock that fell to under ₹20 over twenty months while its 150-day moving average never once turned up.

YES BANK · Aug 2018 → Mar 2020 (monthly close, with 150-day MA)

₹393 → under ₹20 over 20 months. The 150-day MA never turned up. The Stage 4 read never changed.

Solid line: monthly close. Dashed line: 150-day moving average. Every annotation is a moment when retail piled in for ‘the bounce’. The stage classification did not change. Source: NSE end-of-day, approximate.

Three details to read off the chart. First, the 150-day moving average sloped down for the entire window — that, by itself, is the Stage 4 definition this site uses. Second, price stayed below the 150-day for every single month after August 2018. Third, each named event — the RBI nudge in early 2019, the Moody's downgrade in late 2019, the reconstruction scheme in March 2020 — produced a brief rally that retail bought, then a lower low. A trader using only the moving-average rule would not have touched the stock. The rule was already 30 years old when it would have saved them.

What this page argues

If stage analysis matters, the historical NSE data should prove it at dated moments where most retail traders lost money. The next five chapters take three of those moments and show what the breadth figures actually said in real time. For the framework Stan Weinstein laid out in 1988, see Stan Weinstein. For the rules applied stock-by-stock, see stage analysis. Active regime flags today: early bear exit · watch bear exit.

Chapter 02

March 2020 — the regime collapsed two weeks before the index headlines.

The COVID crash on NSE took the Nifty 50 from 12,046 to 8,925 in eight weeks. The headline loss read as 26 percent. The median NSE stock fell far further than that, and the breadth signal was visible two full weeks before the worst of the index drop.

Evidence

Stage 2 share lagged the Nifty drop by two weeks; % above 200-DMA cracked first and never recovered until April.

NSE end-of-day breadth, 17 Feb to 15 Apr 2020

	S2 %	% > 200-DMA	Nifty	What it said
17 Feb 2020n=1,947	33.5%	38.5%	12,046	Two weeks before the crash. Looks healthy.
28 Feb 2020n=1,948	34.1%	28.1%	11,202	Nifty −7%. Stage 2 share flat — index move, not breadth.
06 Mar 2020n=1,948	32.3%	23.3%	10,989	% above 200-DMA in freefall.
13 Mar 2020n=1,950	26.3%	13.6%	9,955	Stage 2 share down a third in 3 weeks.
20 Mar 2020n=1,951	16.8%	7.9%	8,745	Half the Stage 2 universe gone.
27 Mar 2020n=1,951	8.4%	5.5%	8,660	Below the 10% bear threshold.
15 Apr 2020n=1,953	4%	12.1%	8,925	Bottom. 4% of NSE in Stage 2.

Source: market_analytics, daily end-of-day, n=1,947–1,953 stocks per session

What this proves

On 28 February the Nifty had fallen seven percent but the Stage 2 share of the universe was essentially flat at 34 percent. That divergence was the first clue: the index move was a cap-weighted reaction to a few heavyweight names, not a regime change. The percentage of NSE stocks above their 200-day moving average, however, had already collapsed from 38.5 to 28.1 in nine sessions. That was the regime change, and it preceded the worst of the index drop by roughly two weeks.

A trader using breadth as a regime filter would have done two things between 28 February and 13 March: stopped opening new long positions, because % above 200-DMA had fallen into the bearish band, and tightened stops on existing Stage 2 holdings. By 13 March, with Stage 2 share at 26.3 percent and still falling, the rule would have closed most longs. The Nifty had another 12 percent left to fall. See the live regime classification on market timing.

The personal payoff

A trader who exited on the breadth signal on 28 February — ten sessions before the bottom — had ₹85 of every ₹100 still in the account. A buy-and-hold trader holding a midcap-heavy book had closer to ₹50: the median NSE midcap fell 45–55 percent in those six weeks while the cap-weighted Nifty showed −26. By April the breadth-following trader was redeploying into the rebuild. Compounding starts from the residual, not the regret.

Chapter 03

2021–22 — the stealth bear the Nifty hid.

The 2020 crash was loud. Anyone watching the news saw it happen. The 2021–22 bear on NSE was silent. The Nifty stayed within striking distance of its peak the whole time. Most retail traders did not realise they were in a bear market until late 2022. The breadth told you in September 2021.

Evidence

The Nifty fell 6.5%. Stage 2 share fell 85%. Two views of the same ten months — only one of them was the actual market.

NSE breadth at the 2021 bull peak versus the 2022 bear trough

	S2 %	% > 200-DMA	Nifty	What it said
01 Sep 2021n=2,104	62%	79%	17,076	Bull peak. Universe broadly long.
13 Jul 2022n=2,178	9.3%	29%	15,967	Bear trough. Nifty −6.5%. Breadth −85%.

Source: market_analytics, daily end-of-day, n=2,104–2,178 stocks per session

The divergence

On 1 September 2021, NSE was as bullish as it gets: 62 percent of the universe in Stage 2, 79 percent above their 200-DMA, Nifty at 17,076. Ten months later the Nifty was at 15,967 — only 6.5 percent off the peak. The headline financial press was still calling it “consolidation” and “rotation.” Underneath, the universe was already in a full bear market.

Stage 2 share had fallen from 62 percent to 9.3 percent. That is an 85 percent collapse in the actively-investable universe while the headline index showed a single-digit decline. The cap-weighted Nifty was being held up by a handful of large-cap names; the median NSE stock had fallen much further, and most of them had been in Stage 4 for months. Today the Stage 2 share sits at 34.9 percent — placing today between the 9.3 percent July 2022 trough and the 62 percent September 2021 peak, with the 20-day delta at 5.9 points and the 60-day at 25.2. The same divergence read is on the market timing dashboard the moment it opens up.

What this proves

The Nifty is 50 names. The NSE has over 2,200 actively-traded stocks — see the live count on the screener. When the index and the breadth diverge, the breadth is right. Anyone trading individual stocks in 2021–22 using only the Nifty as a regime read was systematically buying Stage 4 names in a hidden bear market. The Stage 2 share — visible daily — was telling a completely different story. The sector tracker would have shown which sectors were leading the decline.

The trap retail keeps falling for

“But the Nifty is at all-time highs.” Yes — and 50 percent of NSE stocks were already in Stage 4. The cap-weighted index is the worst breadth indicator there is, because it weights the few names that are holding up. Always read breadth alongside the index. The two together tell you what is happening; either alone misleads.

Chapter 04

The counter-example — what Stage 2 pointed traders toward in the same windows.

Avoiding YES BANK is half the answer. The other half is owning what was working. While half the universe was in Stage 4 between 2020 and 2024, TATAMOTORS rounded from around ₹65 in March 2020 to ₹1,179 by July 2024 — a roughly 18-times move on a stock that had been written off as JLR-impaired the previous year.

The TATAMOTORS chart belongs to the setups deep-dive, which uses the October 2023 ~40 percent shakeout as the page's teaching case. The point here is simpler. A trader using stage classification during 2020–2024 had a small, focused candidate set every day — the Stage 2 names in leading sectors with strong relative strength — and TATAMOTORS sat in that set for the better part of four years. The work was holding it through the 30 to 40 percent interim pullbacks that interrupt every multi-year Stage 2 trend.

The base rate behind that holding pattern is measurable. Across 3,79,229 historical Stage 2 entries since 2007, setups in the prime band (score 8+) closed positive at T+30 in 51 percent of cases (n=28,106) — versus a coin-flip mid-band rate two bands lower. The skill is in the band selection, not the prediction. The full per-regime cell grid sits on setups.

Today's live read on the same two anchors: the median Stage 2 stock on NSE has been advancing for 6 weeks against a 2007–2026 p25–p75 of 4–10 weeks, so this cohort is fresh — earlier in the move; net new 52-week highs minus lows is 93, which still confirms the breakouts. The TATAMOTORS-style multi-year holds form when both readings are constructive at the same time.

What the counter-example shows

The framework promises a smaller candidate set — usually 30 to 60 names on any given day across all sectors — and the winners come from inside that set. TATAMOTORS through 2020–2024, BANKBARODA through 2022–2026 (the case study on sector rotation), and ZOMATO from its July 2023 base (on setups) sat in the daily candidate set for years. The work was holding them through interim drawdowns the news cycle treated as terminal. The next chapter is what happens to capital inside each of the four stages — including the one TATAMOTORS spent most of those four years in.

Chapter 05

The four stages — what happens to your money in each.

Most stage definitions describe a chart pattern. That is what the books did. It is also what makes every Stage 2 stock look like every other Stage 2 stock in screenshots — and is why most NSE retail traders abandon the framework two months in. The more useful framing is what happens to capital invested during each stage. The short versions are below; the per-stage rule set lives on stage analysis.

Stage 01

Basing

526

23.3% of NSE

What happens to your money

Months of sideways price action while ownership rotates from weak hands to strong. Nothing visible happens — which is precisely why beginners burn out here and miss the breakout when it arrives.

The rule

Watch list only. Do not buy in anticipation. Most Stage 1 candidates never become Stage 2.

Stage 02

Advancing

780

34.6% of NSE

What happens to your money

The only stage where systematic long exposure has positive expectancy. The work is structural selection — cleanest setups in leading sectors with strong RS — and then patience. Stage 2 holds for weeks to months.

The rule

The buy candidates. Today's prime setups list on prop scan.

Stage 03

Topping

114

5.1% of NSE

What happens to your money

The narrative looks unchanged from Stage 2 but the volume profile has flipped: buyers run into supply, the 150-day MA flattens. Stage 3 can convert back to Stage 2; the statistical bias is toward Stage 4.

The rule

Tighten stops on existing positions. Stop adding. Watch volume on declines.

Stage 04

Declining

615

27.3% of NSE

What happens to your money

Each rally is a distribution opportunity for trapped Stage 2 / Stage 3 longs. Bottom-fishing 'cheap' Stage 4 names is the single largest source of avoidable retail loss on NSE.

The rule

No long positions. Wait for Stage 1 to form. Wait for the Stage 2 breakout to confirm.

The asymmetry is the point. About 50.6% of NSE today sits in Stage 1 or Stage 4, where systematic long exposure has zero or negative expectancy. Only 34.9% is in Stage 2, where the long-side edge lives. The classification keeps capital out of the bigger half of the universe where the edge isn't. See the same split as a daily-updated chart on stage distribution.

Chapter 06

Why this works on NSE specifically — and what Weinstein could not have written about.

Stan Weinstein wrote in 1988 about the NYSE and the S&P 500. NSE in 2026 is a different market in five concrete ways, and the framework holds in each of them only after specific adjustments. Anyone applying the rules from the book without knowing the differences will misread Indian-specific structure.

The five Indian-specific adjustments

Each row below is a structural feature of NSE that has no clean Weinstein-era equivalent, what reading the daily Stage 2 share would miss without the adjustment, and how the platform handles it.

What NSE has that the 1988 NYSE did not — and how the framework adapts.

	Why NSE-specific	How the platform handles it
F&O Ban List	Stocks past the market-wide OI limit cannot accept new positions until they exit; the ban week is a structural drag with no US analogue.	Excluded from setup scans the moment the name lands on the ban list.
Monthly expiry Thursday	Last-Thursday unwind selling shows up as a one-day breadth contraction. A trader reading only daily Stage 2 share will see a regime softening that is not one.	Regime calls look at the 5- and 20-day windows rather than the single-session reading on expiry days.
ASM / T2T surveillance	Stocks flagged for higher margins or trade-to-trade settlement still produce charts but the cost of holding them through volatility breaks systematic Stage 2 strategies.	ASM and T2T names excluded from scans even when their stage classification is technically valid.
PSU re-rating cycles	The 2022–26 PSU bank advance (BANKBARODA ₹96 → ₹325, with SBIN, PNB, CANBK confirming) was a sector-wide move with no clean US parallel — and pre-budget cement, monsoon-FMCG, USFDA-pharma cycles have similar NSE signatures.	Sector rotation tracks weighted 1-month and 1-year returns per sector daily — see /market-rotation.
FII / DII daily flow	Foreign and domestic institutional cash flows are a larger share of free-float activity than analogous flows on the NYSE, and they are reported daily.	Flow direction enters the regime call as a confirming or contradicting input, not as a primary signal.

The persistence proof, in one number

Over the 4,591 trading sessions on NSE since 2007, the Stage 2 share has been below ten percent on 619 of them — about 13.5 percent of all sessions. Those 619 days were the worst 13.5 percent of NSE history to be long. Anyone using the Stage 2 share as a regime filter would have been mostly defensive on those days. Anyone ignoring it was trading into a structural headwind.

The 0.5% week

On 10 December 2008 — eight weeks after Lehman, six months after the NSE peak — the Stage 2 share was 0.5%. Out of thousands of NSE stocks, fewer than 25 were in a structurally-supported uptrend. By March 2009 the figure was 2.8 percent with the Nifty at 2,675 (today's Nifty is more than eight times higher). A trader who recognised the regime had room to wait. A trader who fought it spent the next year averaging into stocks that kept making new lows.

Chapter 07

Where to start — four specific changes to your trading.

If the previous chapters are right, the framework changes your trading in four concrete ways. None of them are dramatic. The cumulative effect over a multi-year horizon is the whole point.

You will trade less often.

The Stage 2 universe is usually 15 to 35 percent of NSE. Of those, the ones with clean structure, leading sector, and strong RS are far fewer. The framework points you at a much smaller candidate set than a generic breakout scanner does. Most days the right action is no action — uncomfortable for traders accustomed to placing 30+ NSE orders a week, and the framework's intended behaviour, not a defect.

You will miss the Stage 4 traps.

The rule about not buying anything classified Stage 4 is the single most valuable filter the framework provides. YES BANK, IL&FS, the next year's equivalent — these names will keep appearing, and the answer to every one of them is the same. Avoiding one or two genuine Stage 4 traps in a portfolio's lifetime saves more capital than picking three or four winners would have added.

Your winners come from a smaller, focused universe.

Stage 2 stocks in leading sectors during constructive regimes — that is the candidate set. It is smaller than the daily Moneycontrol and ET Markets coverage suggests, and unglamorous. It is also where the systematic edge actually exists. Most of your time goes to monitoring 30 to 60 names, not screening 2,300.

Not trading bad setups becomes the edge itself.

Over a multi-year horizon, avoiding losers is mathematically equivalent to picking extra winners — and far easier to execute consistently. Most retail traders will read this page, agree with it, and not apply it. That gap between knowing and applying is exactly why the edge persists.

Today the regime label reads WEAK_RECOVERING — 31 days in this state. Whatever the regime is when you read this, the discipline is the same: regime first (market overview), sectors next (rotation), setups third (setups), names last (RS leaders). If those four readings tomorrow morning before the open take more than five minutes, you are over-trading the framework. If you skip any of them, you are reading the wrong page next.