Learn / Explorer / Daily Planetary Position
What happened historically?
Group trading days by where a planet was
Where was the planet, and what did that day do?
That is the whole question this tab answers, and it is the simplest one the Explorer asks.
It takes every trading day in the price history, labels each one with where a planet you choose sat that day, and groups them. One row per group: how those days split into up and down, how many opened away from the previous close, and the average return. Open a row and you see the actual dates behind it. Nothing here is forecast — it is a tally of days that have already happened.
When does this help?
When you want to know whether a day was typical. Because every trading day gets grouped, rather than a handful of events, the samples are large and the answer is usually dull. That is the useful part.
It is also the cleanest tab to learn the controls on, even if the question you actually care about is an event. The form is the same shape everywhere in the Explorer, and the day counts here are big enough that you can see immediately what slicing more finely costs you.
How do you group a planet's days?
- 1
Choose the planet and how finely to divide the sky. Rashi (12 divisions of the circle, one per sign) gives 12 groups, nakshatra (27 finer divisions of the same circle) gives 27, and pada (a quarter of a nakshatra) gives 108. Finer means more groups and fewer days in each — which is a real trade, not a free increase in detail.
- 2
Pick the market and the session. The session decides whether the planet’s position is read at the market’s open or its close. Bodies move, so the two readings disagree often enough that this is a genuine choice rather than a formality.
- 3
Decide what “up” means. Return compares the close to the previous close. Candle compares the close to the same day’s open. A day can be up on one and down on the other, so this changes the answer — set it deliberately.
- 4
Narrow it further, if you want. Add condition lets you require more than one thing at once — the example on screen is “Jupiter in Karka (Cancer)”. Conditions all have to hold, so every row you add shrinks the day count.
- 5
Read the bars. One row per group; the bar is its up, flat and down proportion. The up and down counts follow whichever direction basis you chose at step 3.
- 6
Read the columns, starting with Days. Bias is (up − down) ÷ (up + down), so zero means no lean and the sign says which way. Gaps counts days that opened away from the previous close, and Avg is the average return. Each header has a ? with the formula.
- 7
Open a group. The row expands onto Advanced stats — the same numbers with 95% confidence intervals. List and Chart load the underlying dates and prices only when you ask for them.
What if you want to check two positions at once?
This tab has a second view beside Breakdown: Heatmap. Breakdown groups days by one planet’s position. Heatmap crosses that against a second position and asks whether the two skew together, beyond what either explains on its own. The KP tab has the same view, so the Explorer overview explains how to read one rather than this page explaining it twice.
Here is what that looks like on two planets’ signs. The short version: each cell’s printed number is the plain win rate and day count, while its colour is 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). Judge by picks which of six things that residual is measured on — direction, a gap, a return, or volatility.
How do you read the grid?
- 1
Market and session, shared with the Breakdown view above. Whatever you picked there carries over; the heatmap only adds a second axis.
- 2
Axis A — the same planet and resolution as Group by planet. Still the anchor. The heatmap just crosses it against a second position now.
- 3
Axis B — a second planet and resolution. Must differ from Axis A. A pair where one axis simply determines the other — a sign and its own sign lord, say — is refused with a reason rather than silently accepted, because crossing those two would only plot an axis against itself.
- 4
Judge by picks what the colour is measuring. Direction by default. Switch it and the grid recolours against gap probability, 1-day or 3-day return, or volatility instead — the win rate and day count printed on each cell stay the same either way. Volatility and the two gap factors have no bullish side, so they use a single amber scale rather than the teal-and-red one.
- 5
Each cell's colour is the residual, not the raw win rate. How far this pair sits from what Axis A and Axis B would predict on their own, on whichever factor Judge by is set to. The number printed on the cell is still the plain win rate and day count.
- 6
Hatched, dimmed cells would sit below the trust floor. Too few matched days, or too few separate stretches of them, to trust. Still clickable, still labelled, never hidden. None of this pair’s cells happen to be thin enough to need it.
- 7
Min days and Min spans, right beside the legend. Move either number and every cell’s state recalculates live. Tighten the floor to see which cells were only just clearing it, or loosen it to see what a thinner sample would have shown.
Where could these numbers fool you?
What the numbers do and don't mean
Bias is not a win rate. It runs from −100% to +100% and is centred on zero, because traders go both ways. A bias near zero means no lean, not a poor result. Reading it as a percentage of winning days will overstate every group on the screen.
Check Days before believing anything else. Divide a finite history into 108 padas and some groups hold very few days, where a single large move can set the average. The confidence intervals under Advanced stats are there to show you how much weight a group can carry.
The likeliest way to misread this
Treating the strongest group as a signal. You are looking at 27 groups at once, and with 27 groups some will lean hard by chance. Change the direction basis or the session: a lean that survives neither was never there. On the Heatmap the same trap looks different — a bright cell with a thin sample, which is what the hatching is there to warn you about.
And the question this tab cannot answer: it groups days, not events. “How did days look while the Moon sat here?” is a different question from “what happened after something occurred?” A conjunction is a moment, not a state that lasts a fortnight. If the claim you came to check names an event, Planetary events is the tab you want.
One last thing about that grid. Picking a pair by eye says nothing about how it compares to the thousands of pairs you did not check. The Scanner searches all of them and ranks whichever survive a test on years the search never saw. That is the natural next step once a cell has caught your eye.
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.