Learn / Explorer
What happened historically?
What markets did on days like this
So what does this count?
Nobody who tells you a conjunction crashes the market ever tells you how many times it did not. This is the count.
Explorer takes decades of market history and sorts it into groups. You choose what to sort by — which planetary event happened, where a planet sat, what a KP chart said, or what the panchang called that day — and every trading day that matches gets gathered up.
Then you see how each group behaved: how the days split between up and down, how many opened away from the previous close, what the average return was. Open a group and you can read the actual dates inside it. A tally of what already happened, never a forecast of what comes next.
When does a hunch need a number?
Say a conjunction landed on a day the market dropped hard, and you want to know whether that means anything. This is the only thing that can tell you whether that is what usually happens, or whether you found one day out of four thousand.
Most of what comes back is unremarkable, and that is the point. A screen full of near-even splits has told you something true and saved you a strategy. We’d rather show you that than dress it up.
What you are hunting for is one group that behaves differently from its neighbours, on enough days to be worth taking seriously.

How do you read the results?
- 1
Check what was actually measured. The line above the results restates the market, the grouping, the session and the total number of days it drew from. So you can never read a result without knowing what produced it.
- 2
One row per group. The bar is that group’s split into up and down days. Colour is never the only signal — every figure beside it carries its own sign.
- 3
Compare the columns — start with Days. A striking average over a handful of days is not a finding. Every column header carries a ? giving the formula in plain language.
- 4
Open a group to get the statistics. Click a row and it expands onto Advanced stats: how the day behaved, how often it gapped, and the average return over the following three, five and seven days.
- 5
Read the confidence, not just the number. Each probability carries a 95% confidence interval (the range the true rate plausibly sits in, given how many days you have) and the sample size beside it. A probability of 49% with a range of 44–55% is telling you it cannot tell this group apart from a coin toss.
- 6
Ask for the raw rows only if you want them. List gives you the actual dates. Chart gives you the prices. Neither is fetched until you open it — the summary figures are worked out on our side, and the underlying rows stay there until you ask for them.
Which tab do you want?
Explorer has four tabs, and they all work the same way — the form, then the bars, then the drill-down you just saw. The only thing that changes is what puts a day into a group. So once you can read one of them, you can read all of them. Two of the four also carry a Scanner, which gets its own page here.
- Planetary Events— Conjunctions, ingresses, retrograde turns — count what markets did on the day each one landed.
- Daily Planetary Position— Group every trading day by where one planet sat that day.
- Daily Position Scanner— Search every pair of planet positions at once, then see whether any of them hold up on years the search never saw.
- KP Position— Group days by a Krishnamurti Paddhati position — a planet's or a house's sub lord.
- KP Position Scanner— Search thousands of KP pairs at once, then see whether any of them hold up on years the search never saw.
- Panchang (Almanac)— Group days by what the almanac called them — tithi, paksha, yoga.
What if you want to cross two positions at once?
The Daily and KP tabs each carry a second view beside Breakdown, called Heatmap. Breakdown groups days by one position. Heatmap crosses that against a second one and asks the sharper question: do these two skew together, beyond what either explains on its own?
Every cell is one combination of Axis A and Axis B. The number printed on it is the plain win rate and day count for those days. The colour is something else entirely — it shows the residual (how far the cell sits from the independence expectation: what those days should have done if crossing the two axes added nothing beyond what each one already tells you alone). So a pairing that only looks interesting because one of its two axes is interesting comes out neutral here, which is the entire reason to cross them.
The colour scale is fixed rather than stretched to each grid’s own range, so a flat, unremarkable grid stays a flat, unremarkable colour instead of being auto-scaled into looking dramatic. Cells drawn dimmed and hatched sit below the trust floor: too few matched days, or too few separate stretches of them. They are never hidden, and the Min days and Min spans controls beside the legend let you move that floor yourself and watch which cells were only just clearing it.
Picking one pair by eye still says nothing about the thousands of pairs you did not check. That is what each tab’s Scanner is for — it searches every valid pair at once and tests whether the survivors hold up on years the search never saw.
Where could grouping fool you?
What grouping can and can't establish
Grouping describes. It does not explain. A group that leans one way is telling you those days leaned that way, and nothing about why, or about whether the next one will.
Check the day count before you look at anything else. Cut a finite history finely enough and some groups end up holding very few days, where one big move sets the average on its own. The confidence intervals under Advanced stats exist to show you exactly that.
The tabs also measure different things, so their counts are not interchangeable. Grouping trading days answers “what did days look like while this was true”. Grouping events answers “what happened on the day something occurred”.
The likeliest way to misread this
Looking at every group at once and reacting to the most extreme one. With 27 or 108 groups on screen, some of them will lean hard purely by chance. That is arithmetic, not a discovery. A quick test: change the direction basis or the session, and see whether the lean survives. If it does not, it was never there.
On a Heatmap, the same trap wears a different coat — trusting a bright cell with a thin sample. A handful of days can paint a cell as strongly as a few hundred can, which is exactly what the hatching is there to tell you.
And if it does survive? A lean is still not a trade. You have found days that leaned. You have not found out whether any of that money would still be there after an entry, a stop and an exit. That is step 3, and it is where most patterns fall over. The tabs come first, though, because which one you use decides what you are counting — and Planetary events is the easiest of them to get your bearings in.
The standing caveat
Celestial Market Lens measures what markets did around historical planetary events. That is a description of the past. It is not a prediction, not a recommendation, and not investment, financial, legal or tax advice. Past results do not tell you what will happen next, and you are responsible for anything you do with money.