These are not predictions — they rescale today's price by each risk level's ratio to the current risk score, holding all other inputs constant. Useful as a rough reference grid, not a forecast.

Built using the high-low method (each day's High and Low both tested against the current column, not just its Close) on a percentage/log box grid — appropriate given how far BTC's price has ranged over its history. The dotted lines are the current live bullish support and bearish resistance trendlines, each rising or falling at a true 45° (one box per column) from the most recent chart-to-date pivot low/high.

A rising counter means the asset has not experienced a new drawdown of the selected magnitude recently — resilience is building. A counter reset (dot) marks the start of a new correction episode at that severity level.

A rising counter after a trigger event indicates the asset has been sustaining a significant gain from its recent low for an extended period — a sign of strong bullish momentum persistence. A new trigger (dot) resets the counter and marks a renewed bullish phase.

ROI above 1.0× = positive return over the selected window; below 1.0× = negative return. Comparing windows reveals whether short-term or long-term holders have been better rewarded, and whether recent price action is improving or worsening the picture for each horizon.

Each bar represents the average ROI multiplier for all trading days that fell in that month of the year. Months with consistently higher bars had a higher average forward return in this sample for the selected holding period — a descriptive, in-sample pattern, not a validated or out-of-sample timing signal. Use the dropdown to explore how different time horizons affect this pattern.

Green cells indicate that buying in that month/year and holding 90 days produced a return above break-even; red cells indicate a loss. Consistent green or red columns are worth a closer look, but with each year's 90-day windows overlapping heavily, the effective sample is smaller than the grid suggests — this does not establish a persistent or out-of-sample seasonal effect.

Each cell shows the total price return for that quarter as a percentage. Consistent green or red quarters across multiple years describe a pattern observed in this sample's history, not a validated recurring seasonal cycle. Blank cells indicate insufficient price data for that period.

Green bars indicate years where price ended higher than it started; red bars show years with net declines. Height of the bar indicates magnitude. This view quickly reveals bull and bear years and long-term return trends.

Lines above zero indicate the price is higher than it was at the start of that year; lines below zero indicate a year-to-date loss. Comparing where the current year's line sits relative to prior years at the same calendar point reveals whether this year is tracking ahead or behind historical patterns.

Each line shows how the price performed during a historical occurrence of this month, measured from the first trading day. The dashed average line reveals the typical seasonal pattern. Comparing current-month performance against past years highlights whether this month is tracking better or worse than usual.

Each line shows the raw daily price change for one calendar year. Unlike the cumulative YTD chart, this view highlights individual volatile days and lets you check for recurring seasonal patterns. The average line (dashed) across all years shows whether certain periods of the year have tended to produce outsized daily moves in this sample — a descriptive pattern, not a validated or out-of-sample signal.

Each cell is the single-day percentage price change for that specific date this year. The grid makes it easy to spot clusters of strong or weak days within a month, and to compare the rhythm of returns across the calendar.

Based on the full price history, this chart shows which weekday prices sat cheapest, on average, relative to the surrounding 7-day trend. This is a descriptive, in-sample observation, not a validated or out-of-sample timing result — with only 5 weekdays to compare, picking the single lowest bar will surface a "best" day even if the underlying pattern is pure noise.

Each cell shows the monthly price return as a percentage. Dark green or dark red cells mark exceptional months; pale cells indicate low activity. Comparing columns across years helps inspect whether a similar monthly pattern appears repeatedly in this historical sample; it does not establish persistence outside the sample.