5 CFD Trading Strategies That Actually Work (And When They Don't)
We tested 5 strategies across 50+ instruments, 3 timeframes, and 8 risk profiles — 1,200 backtests nightly with Monte Carlo simulation. Here's what the data actually shows about when each strategy works and when it falls apart.
1. EMA + RSI + ADX
How it works: 9/21 EMA crossover for trend direction, RSI (14) for momentum confirmation, ADX (14) above 25 as a trend-strength filter. Enter long when fast EMA crosses above slow EMA, RSI is above 50, and ADX confirms a strong trend.
Works when: Markets are trending — indices during earnings season, gold during macro shocks, forex during central bank policy shifts. The ADX filter keeps you out of choppy, directionless markets where EMAs whipsaw.
Fails when: Markets range. EMA crossovers fire repeatedly in sideways conditions, each one a false signal. The ADX filter helps but isn't perfect — you'll still eat losses in tight ranges that briefly look like trends.
2. Donchian Breakout
How it works: 20-period channel — go long when price breaks above the highest high of the last 20 bars, short when it breaks below the lowest low. Simple, mechanical, no indicators beyond price itself.
Works when: Volatility is expanding. Breakout strategies thrive during regime changes — oil supply shocks, index sell-offs, currency devaluations. The bigger the move, the better the capture.
Fails when: Markets chop. False breakouts are the enemy — price pokes above the channel, you enter, and it immediately reverses. In ranging markets, this strategy bleeds slowly through repeated whipsaws.
3. Bollinger Bounce + RSI
How it works: Mean reversion off Bollinger Bands (2 standard deviations). Go long when price touches the lower band AND RSI is below 30 (oversold). Short when price touches the upper band AND RSI is above 70 (overbought). The thesis: price reverts to the mean in ranging markets.
Works when: Markets range. In a well-defined trading channel, Bollinger Bands act as dynamic support/resistance. The RSI filter prevents entries during genuine breakouts where the band touch is the start of a trend, not a reversal.
Fails when: Markets trend strongly. Price rides the Bollinger Band for days, and each "oversold" signal is just a pause before continuation. You keep catching falling knives, and the RSI filter doesn't save you because it's already oversold and staying there.
4. MACD Crossover
How it works: Standard 12/26/9 MACD. Go long when the MACD line crosses above the signal line, short when it crosses below. Classic momentum strategy.
Works when: Momentum is sustained. MACD crossovers capture the middle of a trend well — you won't catch the bottom or top, but you'll ride the bulk of the move. Works best on daily and 4H timeframes where noise is lower.
Fails when: Markets are choppy. MACD is a lagging indicator — by the time the crossover fires, the move may be over. In fast, noisy markets (1H and below), crossovers happen too frequently and most are false signals.
5. RSI Reversal
How it works: Pure RSI (14) contrarian play. Go long when RSI drops below 30 and starts rising. Short when RSI exceeds 70 and starts falling. The thesis: extreme readings mean overextension and imminent reversal.
Works when: Markets oscillate. In a range, RSI extremes reliably mark the edges. The strategy catches reversals with good risk-reward if paired with tight stops and quick profit targets.
Fails when: Markets trend. RSI can stay above 70 or below 30 for extended periods during strong trends. Every "reversal signal" is a trap — you enter against the trend and get steamrolled. This is the riskiest strategy in trending conditions.
The Key Insight
No single strategy wins in all conditions. Trend-following strategies (EMA+RSI, Donchian, MACD) dominate in trending markets and bleed in ranges. Mean-reversion strategies (Bollinger Bounce, RSI Reversal) do the opposite.
This is why the Strategy Lab tests all 5 across 50+ instruments and 3 timeframes. The composite score ranks setups by risk-adjusted performance (Sharpe, profit factor, Monte Carlo survival) — not raw return. A strategy that makes 200% but only survives 60% of Monte Carlo simulations ranks below one that makes 120% with 95% survival.
Test any of these strategies yourself on the backtester — pick a strategy, instrument, timeframe, and risk profile, and see the results immediately.