Price History

How Bitcoin's Price Got Here

From $0.08 in 2010 to the $120,000 range in 2025, Bitcoin's price has moved through four distinct cycles. This page explains what created each segment shown in the chart, and how to read that data.

Figure 0 — Long-term price chart

Bitcoin price by weekly close alongside key events. Use the toggle above to switch between linear/log scale and time range.

Y-axis · Linear scale (USD)
2010
2040

* Y-axis scale: Linear (Bitcoin price, linear scale, USD) — shows absolute price differences directly

* Weekly BTC/USD historical data · shaded/dashed range is a future axis with no historical data (not a forecast)

* Chart data source: Habrador/Bitcoin-price-visualization (GitHub) + CoinGecko daily updates

Event figures basis · source links

Table 1 — Cycle Summary

Lows, highs, and max post-peak drawdowns for five halving-based cycles. As cycles progress, both the rally multiple and the drawdown shrink together.

CycleLowHighMax drawdown from highKey driver
Cycle 1 (2009–2012)$0.05$31-93%Early mining · Mt.Gox launch
Cycle 2 (2012–2016)$2$1,163-86%1st halving · Mt.Gox collapse
Cycle 3 (2016–2020)$164$19,783-84%ICO boom · CME futures launch
Cycle 4 (2020–2024)$3,122$69,000-77%Liquidity surge · FTX collapse
Cycle 5 (2024–)$15,476$120,000+In progressSpot ETFs · corporate/state reserves
Figure 1 — Peak Multiple by Cycle

Multiple of each cycle's high over the prior cycle's high. As market cap grows, the capital needed to produce the same multiple rises sharply.

  • 2011 high ($31)620 · ×620
  • 2013 high ($1,163)38 · ×38
  • 2017 high ($19,783)17 · ×17
  • 2021 high ($69,000)3.5 · ×3.5
  • 2025 high ($120,000+)1.7 · ×1.7

Four cycles, the same structure repeated

Bitcoin's price history broadly follows a four-year pattern centered on the halving. In the 12–18 months right after each halving, the previous all-time high is broken; over the 12 months following the peak, the price falls 70–85% from that high; and then a gradual accumulation phase forms until the next halving. This pattern has repeatedly appeared in the 2013, 2017, 2021, and 2024–2025 cycles.

That said, the amplitude of each cycle keeps shrinking. The 2011 cycle's gain was in the hundreds of times; 2017 was in the tens of times; and cycles from 2021 onward have stayed in the single-digit multiples. As market capitalization grows, the amount of capital needed to produce the same percentage gain grows exponentially — which is why forecasts that simply extrapolate past growth rates are risky.

The most recent cycle has a different character. Since the approval of spot ETFs in January 2024, the entities driving price have shifted from retail speculative demand to asset managers, corporate treasuries, and sovereign holdings. The comparatively shallower drawdown is interpreted as related to this shift in the buyer base, but with only one cycle's worth of data so far, it is difficult to treat this as an established rule.

Why you need to look at both linear and log scales

The toggle at the top of the chart lets you switch between linear and log scales. The linear scale shows absolute dollar changes as-is, which makes recent movements look exaggerated while the first decade's movement is compressed into a nearly flat line.

The log scale displays equal percentage changes at equal heights. The 2011 move from $1 to $30 and the 2020 move from $10,000 to $300,000 appear with the same slope. The log scale is appropriate for comparing long-term trends and cycle structure, while the linear scale is better for feeling out current gains, losses, and volatility.

On the chart, the segment from 2025 onward is marked with a dotted line and shading. This is not measured data but an axis-extension area, and it is not a price forecast line. The gridlines shown in the future segment are merely time-axis spacing and contain no projections whatsoever.

How to read the event labels

The labels on the chart highlight only events that had a structural impact on price movement. The main categories are regulation (FinCEN guidance, BitLicense, SEC lawsuits), market infrastructure (CME futures, spot ETFs), incidents (Mt. Gox, FTX), and policy (the U.S. Strategic Reserve executive order).

Label dates are based on the date an event officially occurred or was announced, and are kept consistent with the dates on the timeline page. Hovering over a label shows the actual price at that point and its supporting source, and source links are periodically auto-verified for valid HTTP responses in the admin panel.

One caution concerns causality between events and price. A price move on a labeled date cannot necessarily be attributed to that event. Most large moves occur simultaneously with shifts in liquidity conditions, interest rates, and other asset classes — the chart shows correlation, not proof of causation.

Sources & references