How to read this chart

What this shows: for each asset you pick, the wheel plots its average historical return for every position in a repeating calendar cycle (month, week, or year-in-decade) — not a live price chart, and not a current-rotation chart like RRG.

Center vs edge: the mid-way dashed ring is "neutral" (return in line with the benchmark). Points pulled toward the center mean that slice has historically underperformed NIFTY 50 on average; points pushed toward the outer edge mean it has historically outperformed.

Cycle Type:

• Yearly Cycle (12 Monthly) — one slice per calendar month, averaged across every year in the data.
• Yearly Cycle (52 Weekly) — same idea at week-of-year granularity (the default — finer detail, still only needs a few years of data to be somewhat usable).
• Decade Cycle (10 Yearly) — slice = year's position in a 10-year cycle (e.g. all years ending in "5"). Needs 5+ distinct years to mean anything — with only a few years of history most slices will correctly show as "no data" rather than a fake zero.

Visual Output:

• Sequential Path (Chronological) — the default. Draws the actual slice-to-slice path the asset took through calendar time as one fading trail, with a bright ring marking the most recent point.
• Historical Averages (Polygon) — one point per slice = that slice's average across every year seen, connected into a single closed shape per asset.

Reading the Sequential Path trail:

• Bright ring (head): the most recent slice-to-slice value plotted.
• Fading segments: older points along the trail — the dimmer the segment, the further back in calendar time it is.
• Smoothing: each point is a short trailing average (not the raw single-slice number), so the trail reflects the underlying trend rather than every noisy tick — this is why the line looks like a path rather than a jagged zig-zag.

Dashed lines / hollow dots: a calendar slice with zero real trading history in the currently loaded data window — never shown as a fake "0%", always flagged honestly as missing.

Data depth: how much history an asset actually has matters a lot here. A handful of years is not enough to separate a genuine seasonal pattern from ordinary randomness — treat anything under ~5 years as indicative, not conclusive.

vs. Classical RRG: this is a different tool, not a replacement — don't read RRG's "Leading/Weakening/Improving/Lagging" quadrant labels onto it.