Bitcoin quarterly returns heatmap (AUD)
Year-over-year heatmap of Bitcoin's quarterly compounded AUD returns. Each cell aggregates that quarter's three monthly returns into a single Q1-Q4 figure, colour-coded green for positive and red for negative. Below the table: average return and positive-quarter frequency by quarter, across all tracked years. Useful for seasonality framing - Q4 has historically been Bitcoin's strongest quarter.
Heatmap
Year × Quarter grid of Bitcoin's AUD compounded quarterly returns. Last column compounds the year. Hover any cell for the exact return.
What is Bitcoin's strongest quarter?
Q4 is historically the strongest quarter for Bitcoin in AUD terms. The averages table below the heatmap shows the live Q4 figure for the current dataset. Drivers:
- Halving-cycle timing. Bitcoin halvings occur in April/May. Cycle peaks have followed 6-12 months later, putting major Q4 surges in 2013, 2017, 2020-2021, and 2024-2025.
- Tax-loss harvesting flows. October-November sees rebalancing flows from losing positions back into perceived-leadership assets, which historically includes Bitcoin.
- Year-end risk-on bias. Equity year-end rallies often spill into crypto via correlation and shared liquidity conditions.
What is Bitcoin's weakest quarter?
Q3 (July-September) is historically the weakest quarter. Drivers:
- Summer liquidity drought. Northern Hemisphere institutional desks staff-down through August, reducing market depth and tipping price action toward chop or downside drift.
- No reliable catalyst. No structural Bitcoin-specific event consistently falls in Q3 the way the halving falls in Q2 or the cycle-peak typically falls in Q4.
- Macro-event timing. Fed Jackson Hole conference (late August) has historically triggered hawkish repricings.
How reliable is Bitcoin's quarterly seasonality?
The seasonality is real in the sample but the sample is small. Approximately 11-12 years of AUD price history means each quarter has only 11-12 observations. Two or three cycle-peak Q4s dominate the Q4 average; remove 2013 and 2017 from the Q4 calculation and the figure drops materially.
Practical use:
- Framing, not signal. A Q4 base case of "historically strong" is fine; sizing a position purely on "Q4 is up X percent on average" is not.
- Combine with cycle phase. A Q4 inside a cycle-up phase (post-halving, Mayer Multiple >1, Risk Metric <0.7) is materially different from a Q4 inside a cycle-down phase (post-peak, Risk Metric >0.85).
- Watch the AUD/USD. A weak AUD quarter amplifies BTC AUD returns and vice versa; check the currency overlay before drawing conclusions about BTC strength specifically.
Methodology
- Inputs. Monthly BTC AUD return data from
/assets/data/btc-aud-monthly.json(the same source as the Monthly Returns Heatmap). - Quarter aggregation. For each year, the three months in each calendar quarter (Q1 = Jan/Feb/Mar; Q2 = Apr/May/Jun; Q3 = Jul/Aug/Sep; Q4 = Oct/Nov/Dec) are compounded multiplicatively: quarter_return = product(1 + month_return/100) - 1. Quarters with fewer than three months of data are excluded.
- Year aggregation. Same approach across the four quarters.
- Averages. Simple arithmetic mean across all completed quarters in the sample. Positive frequency = count of positive quarters / count of total quarters.
- Static-first. Data file is pre-built; if upstream is unreachable, the existing file is preserved.
Related tools
- Bitcoin Monthly Returns Heatmap (AUD) - the full month-by-month view this aggregates from.
- Bitcoin Yearly Highs and Lows (AUD) - per-year peak, trough, and return.
- Bitcoin Drawdown From ATH (AUD) - cycle position via dd-from-running-ATH.
- Bitcoin Profitable Days (AUD) - what % of historical days were profitable to buy.
- Bitcoin Halving Countdown - context for halving-cycle Q4 strength.
- Charts Dashboard - all cycle indicators on one page.
Frequently asked questions
Q4 has historically been Bitcoin's strongest quarter on both average return and positive-frequency metrics. Across the AUD price history from 2014 onwards, Q4 has averaged roughly +50 to +60 percent return and posted positive returns in roughly 75-80 percent of years. The standout Q4s were 2013, 2017, 2020 (the COVID-era institutional adoption surge), and 2024. The averages table below the heatmap shows the live figure for the current dataset.
Q3 has historically been Bitcoin's weakest quarter. The average Q3 return has been roughly flat to mildly positive (+5 to +10 percent), with positive-quarter frequency around 50-55 percent - barely a coin flip. Q3 weakness is consistent with broader market 'summer doldrums' patterns and the absence of any consistent crypto-specific catalyst in the July-September window. Q1 also tends to underperform Q4, though it remains net-positive on average.
No. The sample size is small - approximately 11-12 completed years of AUD price history means roughly 11-12 observations per quarter. Two or three cycle-peak years (2013, 2017, 2021) dominate the Q4 average. The seasonality pattern is a useful framing lens but not a tradeable signal in isolation. Combine quarterly context with cycle-position indicators (Mayer Multiple, Risk Metric, halving cycle phase), macro flow indicators (M2, DXY, real rates), and your own risk-management framework.
Three structural reasons: (1) Bitcoin halvings have historically occurred in April or May, and the post-halving supply-shock typically reaches peak market awareness 6-12 months later, putting cycle peak Q4s in 2013, 2017, 2021, and likely 2025. (2) End-of-year tax-loss harvesting in October-November creates a 'recycle into BTC' flow effect. (3) Year-end risk-asset rallies in traditional finance often spill into crypto. None of these are guaranteed; 2018 Q4 (-44 percent) was a notable Q4 bear-market exception.
AUD-quoted BTC returns can diverge from USD-quoted returns when the AUD itself moves materially against the USD in a quarter. A weak AUD quarter amplifies BTC AUD returns; a strong AUD quarter dampens them. Across multi-year samples the AUD/USD effect mostly averages out, so AUD and USD quarterly seasonality patterns broadly track each other - but in any single quarter the divergence can be 5-15 percent. The heatmap above is AUD-native; pair it with the AUD/USD performance for the same quarter for a full picture.
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