Bitcoin 200-Day Moving Average Strategy — Full Backtest (2018-2026)

Key takeaway: We backtested the simplest possible BTC trend strategy — buy above 200-day SMA, sell below — on 8 years of real data. It slightly beats buy-and-hold on total returns (548% vs 496%) while cutting max drawdown from -77% to -64%. The win rate is only 23%, but the average winner is 17.6x the average loser. Here are the actual numbers.

The Idea: Why 200 Days?

The 200-day simple moving average (SMA) is one of the most widely watched indicators in traditional finance. Paul Tudor Jones famously said he never wants to own anything trading below its 200-day moving average.

But does it actually work for Bitcoin? Crypto is a different beast — more volatile, trades 24/7, and driven by narratives as much as fundamentals. Instead of guessing, we ran the numbers on 3,140 days of real BTC/USDT data from Binance.

Trading Rules

The strategy is dead simple. A monkey could follow it:

  • Buy signal: When BTC daily close crosses ABOVE the 200-day SMA
  • Sell signal: When BTC daily close crosses BELOW the 200-day SMA
  • Position: 100% in BTC or 100% in cash (USDT). No leverage.
  • Execution: At daily close. No intraday trading.
  • Fees: 0.1% per trade (realistic for major exchanges like Binance or Bybit)

No RSI filter, no volume confirmation, no discretionary overrides. Pure mechanical execution.

Backtest Results (March 2018 — March 2026)

Data source: Binance BTC/USDT daily candles. Period starts from March 2018 (first 200 trading days used to calculate initial SMA). Total: 2,940 trading days across multiple bull and bear cycles.

200 SMA Strategy CAGR
26.1%
Buy and Hold CAGR
24.8%
Strategy Max Drawdown
-64.1%
Buy and Hold Max Drawdown
-76.6%
Total Return
547.6%
B&H Total Return
495.9%
Total Trades
31
Win Rate
22.6%
Time in Market
54.3%
Avg Win / Avg Loss
17.6x
Avg Win
+79.3%
Avg Loss
-4.5%

What the numbers tell us

The most striking number here is the 22.6% win rate. Out of 31 trades, only 7 were profitable. That means nearly 8 out of 10 trades lose money.

But look at the win/loss ratio: 17.6x. The average winner gains 79.3%, while the average loser only drops 4.5%. This is the textbook signature of a trend-following system — lots of small cuts, but when it catches a trend, it rides it all the way.

The best single trade? Entering on April 29, 2020 and holding until May 19, 2021 — a 385-day ride that returned +317.8%. That one trade alone more than made up for all 24 losing trades combined.

On drawdowns: Buy-and-hold suffered a -76.6% max drawdown (the 2022 bear market). The 200 SMA strategy still had a painful -64.1% drawdown — better, but not comfortable. This strategy does not eliminate bear market pain; it reduces it.

Time in market was 54.3%, meaning you are in cash almost half the time. For people who are anxious about being fully exposed to crypto volatility, that is a real benefit.

The Trade Log

Here are all 31 trades — every entry and exit, with actual profit/loss and holding period. No cherry-picking.

# Entry Exit P&L Days
#12018-03-112018-03-14-14.5%3d
#22019-04-022019-09-26+65.8%177d
#32019-10-262019-11-08-5.1%13d
#42020-01-282020-02-28-7.5%31d
#52020-03-022020-03-08-10.1%6d
#62020-04-292021-05-19+317.8%385d
#72021-05-202021-05-21-8.3%1d
#82021-08-092021-08-12-4.2%3d
#92021-08-132021-08-17-6.7%4d
#102021-08-192021-09-10-4.3%22d
#112021-09-122021-09-13-2.6%1d
#122021-09-142021-09-20-8.9%6d
#132021-10-012021-12-13-3.2%73d
#142021-12-142021-12-17-4.8%3d
#152021-12-212021-12-28-3.0%7d
#162023-01-132023-08-17+33.4%216d
#172023-08-292023-08-30-1.7%1d
#182023-10-162024-07-04+100.0%262d
#192024-07-132024-08-03+2.3%21d
#202024-08-232024-08-26-2.1%3d
#212024-09-242024-09-25-1.9%1d
#222024-09-262024-09-30-3.0%4d
#232024-10-142025-03-09+22.0%146d
#242025-03-122025-03-13-3.3%1d
#252025-03-142025-03-16-1.9%2d
#262025-03-192025-03-20-3.2%1d
#272025-03-232025-03-28-2.1%5d
#282025-04-222025-10-17+13.7%178d
#292025-10-192025-10-22-1.2%3d
#302025-10-232025-10-30-1.8%7d
#312025-10-312025-11-03-3.0%3d

Notice the pattern: 2021 was a whipsaw nightmare (trades #7 through #15 — nine consecutive losers as BTC chopped around the 200 SMA). Then trade #16 catches the 2023 recovery, #18 catches the 2024 bull run. Two big winners pay for everything.

When It Works (and When It Does Not)

Works well in:

  • Extended bear markets — Kept you in cash for most of 2022, avoiding the worst of the FTX collapse
  • Strong trending moves — Rode the 2020-2021 bull run for +317% and the 2023-2024 recovery for +100%
  • Regime changes — Acts as a simple risk-on/risk-off filter

Struggles in:

  • Choppy sideways markets — The 2021 Q3-Q4 period generated 9 consecutive losing trades as BTC oscillated around the 200 SMA
  • V-shaped recoveries — Gets whipsawed on sharp bounces (trade #5: sold March 8, 2020 right before the COVID recovery)
  • Recent 2025 choppiness — Trades #24-31 show the strategy struggling in the current sideways-to-down environment

Our Take

The 200-day SMA is not a get-rich strategy. It is a stay-in-the-game strategy.

It slightly outperformed buy-and-hold over 8 years (26.1% vs 24.8% CAGR), but the real value is that it kept you in cash during the worst of 2018 and 2022. The max drawdown of -64% is still painful — but it is not the -77% that buy-and-hold suffered.

The psychological cost is real though: you need to accept a 23% win rate. That means losing on nearly 4 out of 5 trades. Most people cannot stomach that, even when the math works in their favor over time.

We track the BTC vs 200 SMA signal in real-time on our Signal Dashboard. Right now, you can see exactly where we stand.

FAQ

Is the 200-day SMA the best moving average for Bitcoin?

Not necessarily the best, but the most robust. Shorter averages (50, 100 day) generate more signals and more whipsaws. Longer averages (300, 365 day) are smoother but react too slowly. The 200-day is a well-studied middle ground across asset classes.

Why is the win rate so low?

Because the strategy generates many false signals during choppy periods. Every time BTC bounces above then dips below the 200 SMA, that is a losing round-trip. The key insight: the few winning trades are so large (79% average gain) that they overwhelm the many small losses (4.5% average).

Can I use this data for my own trading?

This is educational research, not financial advice. The backtest script and data source are described above — you can replicate this yourself with Python, pandas, and the Binance public API. Past performance does not guarantee future results.

Where is the raw data?

Source: Binance BTC/USDT daily candles via public API. 3,140 daily bars from August 17, 2017 to March 22, 2026. First 200 days used for SMA calculation; backtest period starts March 4, 2018. All trades include 0.1% per-side fee.

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Disclaimer: This content is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always do your own research. Some links are affiliate links.

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