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Can technical indicators really be profitable? The harsh truth of 5-year MACD backtesting
Technical indicators have always been a focus in cryptocurrency trading, but can they truly help you achieve sustained profits? An in-depth backtest study of the MACD indicator over the past five years provides an answer— it depends on how you use it. The research compares real data across multiple cycles and different leverage configurations, revealing the true value and hidden pitfalls of technical indicators in trading.
Benchmark: What is the standard that strategies must beat
Before evaluating any trading strategy, a reference line must be established. If you had bought BTC or ETH five years ago and held until now, what would your returns be?
BTC spot holding: Cumulative return over 5 years +48.86%
ETH spot holding: Cumulative return over 5 years +53.00%
This means that even if you bought five years ago and then uninstalled your trading app, not watching the market or making any moves, you could still have gained about 50%. This line is the “passing score” that any active trading strategy must surpass. As of January 28, 2026, BTC’s current price is $89.44K (24h change +0.63%), ETH’s price is $3.02K (24h change +2.60%).
Cycle differences: Why short-term technical indicators fail across the board
The effectiveness of technical indicators is closely related to trading cycles. Data shows that on short cycles like 15 minutes, 30 minutes, and 1 hour, MACD strategies perform extremely poorly.
BTC 1-hour cycle dilemma: Without leverage, the return is only +6%, far below the 47% opportunity cost. Frequent trading over five years generated thousands of buy/sell signals, incurring huge trading fees, and ultimately returns are less than one-eighth of simply “lying flat.”
The “death matrix” of short cycles:
Reasons for these failures include: high-frequency trading fees eroding profits, market noise causing false signals, frequent stop-losses creating psychological stress, and operational distortions. Short cycles are essentially meaningless random fluctuations; technical indicators cannot identify real trends at these intervals.
Long cycle salvation: Excess returns at the 4-hour level
When the trading cycle is extended to 4 hours, technical indicators begin to show real value. This is the core significance of quantitative trading.
BTC 4-hour no-leverage performance: approximately +96%, doubling the +48.86% of simply HODLing. MACD in this cycle successfully avoided the deep bear market plunge of 2022. Although it missed some upside in the bull market, maintaining a flat position at lows allowed it to outperform “buy-and-hold” strategies.
ETH 4-hour absolute dominance:
ETH’s strong trendiness means passive holding benefits from upward movement but also endures a deep retracement of -80%. MACD strategies, by timely reducing positions during bear markets, protected profits and continued compounding in the next bull cycle, vastly outperforming simple holding.
This demonstrates that, at appropriate cycles, timing with technical indicators has enormous value—this is not gambling but a data-supported systematic advantage.
Leverage dilemma: Amplify gains or risks
The effect of leverage is not linear. Results vary dramatically with different leverage multiples.
2-3x leverage: the golden zone
Within this range, leverage acts as a “tailwind”—the strategy already captures the true trend, and leverage simply amplifies existing advantages. The return multiplier is clear, and risk remains within controllable bounds.
5x leverage: the inverted trap
Beware that increasing leverage is not “more is better.” When ETH 4-hour uses 5x leverage, returns are only +167%—far below the 3x leverage’s +552%.
Why does this inversion occur? Reasons include:
Raising leverage to 5x appears to magnify gains but actually works against you, effectively making the exchange and market “your boss.” You bear the risk of total wipeout but only earn mediocre returns.
Practical guidelines: strategy choices for different goals
Based on five years of data, here are recommendations tailored to different investor types:
Conservative investors (no time, poor mindset, or seeking stability)
Steady investors (want to beat the market)
Aggressive investors (seeking excess returns, choosing ETH)
Speculative traders (short-term players or gamblers)
Conclusion: Conditional value of technical indicators
Technical indicators are not万能 (all-powerful), but neither are they useless.
The key lies in “correct application.” The five-year backtest reveals a core fact: the value of technical indicators is strictly limited to two conditions—cycles longer than 4 hours and reasonable leverage of 2-3x. Straying from this framework with frequent operations mostly consumes principal and erodes profits.
Trading on short cycles with technical indicators is essentially fighting against random fluctuations, not trends. When you look at MACD on a 15-minute chart, you are competing with millions of retail traders for clues in random noise—this game is already doomed by fees and slippage.
In contrast, at longer cycles, the working principle of technical indicators is fundamentally different. The 4-hour cycle sufficiently filters out market noise, allowing you to capture genuine trend changes. In this framework, technical indicators shift from gambling tools to timing tools, transforming from value destroyers to value creators.
For crypto traders, this five-year data backtest reveals a simple truth: success does not come from “most trades,” but from “using the right tools at the right cycles to do the right things.”
This analysis is based on historical backtest data and does not guarantee future returns. Cryptocurrency trading involves high risks; leverage trading should be approached with caution. Investment involves risk; please trade prudently.