What the supplied chart reports
Observed: the chart selects one month for each supplied year. It reports March at 209% for 2020, May at 113% for 2021, June at 90% for 2022, March at 69% for 2023, March at 75% for 2024, March at 67% for 2025 and February at 82% for 2026.
Each bar is labeled as the most volatile month of its year under the supplied method. The metric is defined in the image as the annualized standard deviation of daily log returns using one-day futures history since 2020. The values above are transcribed from the image and were not independently recalculated.
The 2026 observation requires separate treatment. The chart is timestamped September 1, 2026, so 2026 is not a completed annual sample. February at 82% is therefore the highest month identified in the available 2026 history at that cutoff, not a final result for the full year.
How annualized monthly volatility is obtained
The supplied definition begins with daily log returns. A daily log return expresses the change between consecutive observations as the natural logarithm of the current value divided by the preceding value. The monthly standard deviation then summarizes how dispersed those daily returns were within the month.
That monthly dispersion is placed on an annualized scale using an annualization convention. The exact scaling factor was not supplied, so this analysis does not complete or assume it. The method then compares the monthly estimates within each year and displays the month with the highest reading.
An annualized reading is a standardized expression of return variability. It should not be read as the percentage by which BTC/USDT rose or fell during that month. Direction and volatility answer different questions: the supplied bars describe dispersion, not whether the monthly price change was positive or negative.
Historical comparison: seven annual observations
The valid comparison sample contains seven annual observations, one for every displayed year from 2020 through 2026. March is the selected month in 2020, 2023, 2024 and 2025; May is selected in 2021, June in 2022 and February in the provisional 2026 observation.
The bars show that the selected month and its annualized reading vary across the supplied years. March 2020 carries the chart's 209% label, while the displayed annual winners for later years carry 113%, 90%, 69%, 75%, 67% and 82% labels. This is a descriptive comparison of the supplied maxima, not evidence of a stable calendar rule.
Historical similarity does not guarantee the same future outcome. A month matching a name or volatility reading from this sample would not establish that price direction, duration or subsequent behavior must repeat.
Why volatility differs from year to year
Interpretation: because the metric is built from daily log returns, a different distribution of those returns produces a different monthly standard deviation. Changes in the magnitude, dispersion and clustering of the observations included in each month can therefore change which month ranks highest.
The reported result also depends on methodological choices: the selected futures series, daily observation convention, treatment of missing values, month boundaries and annualization rule. The supplied image does not document those details beyond “futures 1d,” history since 2020 and the stated volatility definition.
The image does not supply external events or explanatory market variables. It therefore supports no claim that news, liquidity, leverage or another specific force caused any displayed reading. It shows measured differences; it does not identify their causes.
Volatility can be useful for comparing the intensity of return variation under a consistent method, identifying periods for deeper review and calibrating how unusual a month appears within a declared sample. It does not provide price direction or a guaranteed trading signal.
No price, support, resistance, target or liquidation level was supplied, so there is no “Levels to Watch” section.
Methodology and risk note
This analysis uses only the values, labels and methodology visible in the RavenInvestor image timestamped September 1, 2026 at 13:30 UTC. The supplied source description is BTC/USDT futures, one-day observations and full available history since 2020. No new financial calculations were performed.
The image does not identify the venue or market-data provider, contract specification, exact starting date, observation timezone, monthly sample counts, annualization factor, missing-data treatment or whether incomplete months were eligible. Those omissions limit independent reproduction and comparison with differently defined volatility series.
The annual maxima are historical and method-specific. They do not predict that Bitcoin will rise or fall, identify a recurring month that must remain most volatile, or guarantee that any future sample will resemble these seven observations.