Multi-Indicator Strategy: Combining RSI + MACD for Higher Win Rates

A basic RSI strategy on BTC/USDT 4H returned 27.18% with 23 trades over 2.4 years. Adding a MACD confirmation filter eliminated 22 of those 23 trades. The one remaining trade lost money. Adding a third filter killed every signal entirely.

This is the reality of multi-indicator strategies that nobody talks about. Each filter you add does not just make the strategy more selective. It can make it silent. One filter gave us a working strategy. Two filters gave us a single loser. Three filters gave us nothing at all.

We ran all 3 variations on CoinQuant using real Kaiko market data from January 2024 to May 2026. Every number below comes directly from the platform. No estimates. No hypotheticals.

The 3 Strategies We Tested

All 3 variations used BTC/USDT on the 4 hour timeframe with market orders and 100% capital allocated per trade. Starting balance: $10,000. The only difference was the number and type of confirmation filters. MACD parameters: fast 12, slow 26, signal 9.

Backtest period: January 1 2024 to May 20 2026 (2.4 years). Data source: Kaiko via CoinQuant. Trading fees: 0.1% per trade.

Backtest Results

Finding 1: The RSI-Only Strategy Works, But With a 42% Drawdown

V1 turned $10,000 into $12,717.83 over 2.4 years: a 27.18% return. 23 trades with a 65.22% win rate. The Sharpe ratio of 0.46 is positive but not exceptional. The problem: a 42.42% max drawdown means at some point the account lost nearly half its peak value. That is a tough psychological hit for most traders.

Average winning trades returned $706.59 while average losses cost $985.14. The payoff ratio of 0.72 means the losers were actually bigger than the winners. The strategy was saved by the 65% win rate, not by the quality of individual trades.

Finding 2: Adding a MACD Filter Eliminated 22 of 23 Trades

The RSI + MACD strategy (V2) fired exactly 1 trade across 2.4 years of 4H data. That single trade was a loser, resulting in a 2.25% drawdown and a final balance of $9,774.94. The MACD confirmation filter did its job of being selective. It filtered so effectively that only one entry met both conditions. And that one trade went the wrong way.

This is the core tradeoff of multi-indicator strategies. V1 made 23 trades with moderate confidence and came out ahead. V2 demanded perfect alignment of momentum and trend, which produced 1 trade. One bad roll of the dice.

Finding 3: Adding a Third Filter Killed Every Trade

V3 required 3 conditions to align: RSI below 30, MACD line above signal, AND Bitcoin trading above its 200 period SMA. Across 2.4 years of 4H BTC/USDT data, that exact combination fired zero times. Not once.

This is the overfitting danger. Each filter you add reduces your trade frequency. At some point the filters become so restrictive that signals stop firing altogether. The strategy goes from selective to silent. V3 is an overfit strategy: it looks perfect in theory but never actually trades.

Why More Indicators Do Not Always Mean Better Results

Each additional indicator adds a condition. Each condition reduces the number of trades the strategy can take. If you start with 23 trades and add one filter that cuts it to 1, you have effectively turned a strategy into a lottery ticket.

The lesson from this backtest is not that RSI + MACD is a bad combination. It is that indicator combinations require testing on real data, not theoretical assumptions. You might assume two indicators give you twice the confidence. In reality, they can give you one twentieth of the opportunities.

Common Mistakes When Combining Indicators

• Do not assume more filters equal better quality. V2 had 1 trade with terrible results. V3 had 0 trades. More filters can destroy a strategy entirely.

• Do not add correlated indicators. RSI and Stochastic RSI measure momentum using similar calculations. Adding both is double counting the same signal, not diversifying your data sources.

• Do not over constrain entry conditions. Two indicators gave us 1 trade. Three gave us 0. Test each filter incrementally against real data before committing.

• Do not use the same timeframe for every indicator. Try a daily MACD as the trend filter and a 4H RSI for precise entry timing. This combines macro bias with micro execution.

How to Test This on CoinQuant

1. Create a free account at CoinQuant

2. Select BTC/USDT on the 4H timeframe

3. Add RSI(14) with buy condition: RSI crosses below 30

4. Add MACD(12, 26, 9) with condition: MACD line above signal line

5. Combine conditions with AND logic for entry

6. Set exit: RSI crosses above 70

7. Run the backtest from January 2024 to May 2026

CoinQuant shows you exactly how many trades your filter combinations will produce. Test before you trust.

The Bottom Line

One filter gives you a strategy. Two filters can kill it. Three filters can make it vanish entirely.

The backtest data from CoinQuant is definitive. V1 (RSI only) returned 27.18% with 23 trades and a 65% win rate over 2.4 years. V2 (RSI + MACD) took 1 losing trade and returned -2.25%. V3 (RSI + MACD + SMA200) never traded at all. The lesson is not that indicator combinations are bad. It is that every combination must be tested. What looks smart on a whiteboard can be silent in production. CoinQuant lets you find out before you risk real capital.
Run this backtest free on CoinQuant