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Caelion

Field guide

How to readthe observatory.

Three readings carry most of the site: a stock against its own 200-day line, how many stocks are above theirs, and five conditions counted together. Each is built below as a small working instrument on real data. Drag its control.

Instruments

Three readings, built

Fig. 1The 200-day line
Drag the day: the window slides15 Oct 2026 · close 22,997 · line 24,222 · altitude −5.1%
Fig. 2Breadth, one bead per stock
Drag the week: beads flip as stocks crossWeek of 15 Oct 2026 · 969 of 2,182 above · 44%
Fig. 3The five-tumbler lock
TrendBreadthFearDepthMomentumRisk-off
Drag the week: each tumbler is one conditionWeek of 15 Oct 2026 · 1 of 5 set · Risk-off
Terms

Every term, in a sentence

The exact formulas are on the methodology page.

Stocks

Altitude
How far a close sits above or below the average of the 200 sessions before it.
50-day altitude
The same distance, measured from the average of the 50 sessions before the close.
Breadth
The share of stocks whose close is above their own 200-day average.
The universe
Every NSE mainboard stock in the EQ and BE series with a year of closes, plus every index member.
Distance from the 52-week high
How far a close sits below the highest close of the past year.
New 52-week high or low
A stock that closed at its highest (or lowest) level of the past year during the week.
Crossing
A stock whose close moved from one side of its average to the other during the week.
Leaders
Stocks above both their 50-day and 200-day averages and within 5% of their 52-week high.
Turning and breaking
Turning: crossed above its 50-day average this week. Breaking: crossed below its 200-day average this week.

Conditions

Index trend
Whether the Nifty 50 is above its own 200-day average.
Fear percentile
Where India VIX sits within its own history up to that week, from 0 (calmest) to 100.
Depth
How far the Nifty 50 sits below its highest close.
One-month momentum
The Nifty 50's change over the last month.
Conditions score
How many of the five conditions hold: index trend, breadth of at least 50%, fear below 70, depth above −10% and positive momentum.
Distance to flip
How far each condition's reading is from the line that decides it.

Rotation

Sector rotation
Each sector's trend and momentum relative to every stock observed, drawn as an orbit.
Correlation weather
How much Nifty 100 stocks have moved together recently.

History

A fall
A decline of 10% or more from a record close, followed until the index closes at or above that record again.
Month return
The Nifty 50's change from one month's last close to the next month's last close.

Instruments

Week
Each week is read at its last trading session; the newest week is read at the latest session.
Time machine
One control that moves every room to any of the last 52 weeks.
Meteors
The week's new 52-week highs rise as sparks and its new lows fall as shooting stars.
Spectrum
How every stock observed is spread by altitude, in 5% bins.
Questions

Asked often

Is this investment advice?
No. The Observatory describes market data by fixed rules. It never says what to buy, sell or hold, and its labels (Risk-on, Mixed, Risk-off) count conditions; they are not forecasts.
Where does the data come from?
Adjusted daily closes from Yahoo Finance, each stock's latest official close from NSE's bhavcopy, index memberships and sectors from niftyindices.com, and NSE's own pages for flows and indices. The methodology page lists every source with its status.
How fresh is it?
It is rebuilt every trading night after NSE publishes its closes; every page's footer says the session the data runs to. During the session, live breadth uses NSE prices refreshed each minute.
Why are there no buy lists or price targets?
Because the site is for observation and research. Lists such as the leaders screen describe where prices sit under a stated rule; they are not selections.
Why is everything black and white?
Colour would add a judgment (green good, red bad) the data does not make. Direction is shown with brightness, filled and hollow marks, and ▲ ▽.
Can a result in the laboratory be trusted?
Each one states how many independent cases it rests on and how often random days did as well. Most results are called chance or too few cases, which is what honest history usually shows.