Comparing strategies in isolation tells you half the story. Here's what happens when you run them side by side on the same asset.
Posts 4 and 5 covered the Golden Cross and RSI individually. Each has a legitimate historical record. Each has real limitations.
But here's the question that actually matters for a real investor: if you had to choose one strategy for Bitcoin on weekly candles — which one would you pick?
That question requires a direct comparison. Same asset. Same timeframe. Same date range. Same benchmarks. No cherry-picking.
This post does that — and introduces a third strategy that doesn't get nearly enough attention: OBV-MACD.
1. The Three Strategies
Golden Cross (50/200 SMA) — Buy when the 50-period SMA crosses above the 200-period SMA. Sell on the reverse. Character: very few signals (3-6 per cycle), long holding periods, pure trend-following.
RSI/SMA Cross — Buy when RSI drops below a threshold AND price is above the SMA. Sell when RSI exceeds the upper threshold. Character: moderate number of signals, momentum-based entries within a trend filter.
OBV-MACD — Applies MACD to the On-Balance Volume line rather than price. Buy when OBV-MACD crosses above its signal line. Sell on the reverse. Character: volume-driven signals, catches institutional accumulation that price hasn't reflected yet.
Three different philosophies: trend confirmation, momentum with trend filter, volume momentum.
2. Why OBV-MACD Deserves Attention
Most retail traders focus entirely on price. Price went up — buy. Price went down — sell.
OBV takes a different view: it tracks volume flow. On up days, volume is added to a running total. On down days, volume is subtracted. The result is a line that reflects whether money is flowing into or out of an asset — regardless of what price is doing.
The interesting pattern: OBV sometimes diverges from price before a major move. Price is flat or slightly declining, but OBV is rising — suggesting accumulation is happening quietly. This can precede price breakouts by days or weeks.
Applying MACD to OBV rather than price captures these momentum shifts in volume flow — not just price momentum.
The limitation: OBV requires real volume data. It works well on liquid assets — Bitcoin, Ethereum, major stocks. On assets with thin or unreliable volume data, the signal degrades. For this reason, OBV-MACD isn't available for Forex on our platform — there's no genuine exchange volume in that market.
3. What a Direct Comparison Reveals
Running all three strategies on the same asset and timeframe exposes something that individual backtests hide: the strategies behave very differently depending on market regime.
In strong, sustained uptrends — the 2020-2021 bull market being the clearest example — all three strategies generally perform well. Trend is your friend, and any trend-following approach captures the majority of the move. The differences in this environment are relatively small.
The divergence happens in two other regimes:
Volatile bear markets (sharp decline + partial recovery + further decline): Golden Cross tends to stay out — the Death Cross fires early and doesn't reverse until the trend clearly recovers. RSI/SMA generates more signals, some of which catch false recoveries. OBV-MACD depends on whether institutional volume is actually leaving or just price is declining on low volume.
Extended sideways markets (2022-2023 style): This is where all three struggle, but to different degrees. Golden Cross has almost no signals — it's waiting for a clear trend. RSI generates multiple oversold readings, many of which don't resolve. OBV-MACD can detect quiet accumulation during sideways periods — this is arguably its strongest environment relative to the other two.
4. The Comparison No One Talks About: Trade Count
Here's a dimension of the comparison that rarely gets discussed:
| Strategy | Trade Count on Bitcoin Weekly Candles |
|---|---|
| Golden Cross | ~3-6 trades per full cycle |
| RSI/SMA | ~8-15 trades per year |
| OBV-MACD | ~10-18 trades per year |
This matters for two reasons.
First, statistical validity. A Golden Cross backtest over 5 years might have 8-12 trades. RSI/SMA over the same period might have 40-70. The RSI/SMA result is statistically more reliable — there's simply more data behind the conclusion.
Second, execution reality. Fewer trades means fewer decisions, lower transaction costs, and less emotional burden. A strategy that requires acting 15 times per year is psychologically easier to follow than one that requires 50 decisions.
Neither more nor fewer trades is inherently better. But the trade-off is real and worth understanding before committing to a strategy.
5. The Honest Answer to "Which One Wins?"
There isn't one.
That's not a cop-out. It's the actual conclusion from running these strategies across multiple assets, timeframes, and date ranges.
Different strategies win in different market environments:
- Strong trending markets: Golden Cross captures the most, with fewer decisions
- Volatile markets with clear pullbacks: RSI/SMA tends to get cleaner entries
- Accumulation phases before breakouts: OBV-MACD can identify moves before they're visible in price
The more useful question isn't "which strategy is best?" but "which strategy fits my risk tolerance, holding patience, and the specific asset I'm trading?"
A trader who can't hold through a 40% drawdown shouldn't use Buy & Hold — even if it wins over 10 years. A trader who checks their portfolio twice a week shouldn't use a daily RSI strategy. The best strategy is the one you can actually execute consistently.
6. What Comparing Strategies Teaches You
Running multiple strategies side by side on the same backtest teaches you something that no individual strategy analysis can:
The variance between strategies is often smaller than the variance between time periods.
In other words: whether you used RSI or Golden Cross mattered less than whether you were trading in 2019-2021 or 2022-2023. The market regime dominated the result more than the strategy choice.
This is a humbling finding. It suggests that "finding the best strategy" may be less important than "not trading the wrong asset class at the wrong time."
Which is exactly the problem the Altcoin Season Indicator was built to address — but that's a topic for a future post.
Run a multi-strategy comparison yourself — same asset, same timeframe, all metrics side by side: → tradingstrategies.work
Study the past, improve your future.
This concludes the 6-part series on trading strategy research. The next posts dive deeper into individual topics — starting with the question of how to recognize market phases early enough to apply the right strategy at the right time.
FAQ:
Question: Which strategy is best for Bitcoin?
Answer: There's no universal answer. In strong trending markets, Golden Cross usually wins because it captures the trend with few decisions. In volatile markets with clear pullbacks, RSI/SMA often delivers cleaner entries. In accumulation phases before price breakouts, OBV-MACD can identify moves before they appear in price. The more useful question isn't "which is best" but "which fits my risk tolerance, holding patience, and the specific asset I'm trading?"
Question: What is OBV and how does it differ from price-based MACD?
Answer: OBV (On-Balance Volume) tracks volume flow instead of price. On up days, volume is added; on down days, subtracted. The line shows whether money is flowing into or out of an asset — regardless of price. Applying MACD to OBV rather than price captures momentum shifts in volume, which can reveal institutional accumulation or distribution before price reacts. OBV-MACD requires real exchange volume data and works well on liquid assets (BTC, ETH, major stocks), but doesn't work for Forex.
Question: How many trades does it take for a strategy comparison to be meaningful?
Answer: More trades means more statistical reliability. A Golden Cross backtest over 5 years might have 8-12 trades — enough for cautious conclusions, but at the lower bound. An RSI/SMA strategy over the same period typically has 40-70 trades, which is statistically much more robust. Generally, strategy comparisons should either span long time ranges covering multiple cycles, or the trade count per strategy should be explicitly disclosed.
Question: What does "market regime dominates strategy choice" mean?
Answer: In our comparisons, the variance between strategies (e.g. Golden Cross vs. RSI/SMA) was often smaller than the variance between time periods (e.g. 2020-2021 vs. 2022-2023). Put differently: whether someone used RSI or Golden Cross in 2021 mattered less for the end result than the fact that 2021 was a bull market and 2022 a bear market. That shifts the more important question from "which strategy is best?" to "what market phase are we currently in — and which asset class fits it?"