Showing all 8 results
A swing trading strategy combining ADX and RSI indicators for precision entries in trending conditions – backtested on the QQQ ETF tracking the Nasdaq 100. ✔️ 258 trades✔️ 1% average gain per trade✔️ 73% win rate✔️ Profit factor: 2.4✔️ 10.5% annual return (CAGR)✔️ 15% market exposure✔️ Risk-adjusted return: 70%✔️ Max drawdown: -23% You’ll get the…
A long/short swing trading strategy combining Bollinger Bands and RSI – backtested on the SMH ETF tracking the semiconductor sector for robust, data-driven signals. ✔️ 297 trades✔️ 0.65% average gain per trade✔️ 67% win rate✔️ Profit factor: 1.9✔️ 8.3% annual return (CAGR)✔️ 16% market exposure✔️ Risk-adjusted return: 51%✔️ Max drawdown: -13% You’ll get the full…
A swing trading strategy partially based on the Choppiness Index – designed to detect and adapt to choppy versus trending conditions. Backtested on the SPY ETF for consistent short-term performance. ✔️ 319 trades✔️ 0.6% average gain per trade✔️ 74% win rate✔️ Profit factor: 2.3✔️ 5.5% annual return (CAGR)✔️ 10% market exposure✔️ Risk-adjusted return: 55%✔️ Max…
A short-term swing trading strategy combining MACD and RSI indicators – backtested on the SMH ETF. Built for multi-day trades, with strong performance and improved results when paired with a trend filter (not included). ✔️ 235 trades✔️ 0.9% average gain per trade✔️ 73% win rate✔️ Profit factor: 2.3✔️ 8% annual return (CAGR)✔️ 14% market exposure✔️…
A backtested swing trading strategy built around the Money Flow Index (MFI) – a momentum indicator that combines price and volume to identify overbought and oversold conditions on the SPY ETF. ✔️ 895 trades✔️ 0.3% average gain per trade✔️ 72% win rate✔️ Profit factor: 1.7✔️ 7.5% annual return (CAGR)✔️ 28% market exposure✔️ Risk-adjusted return: 26%✔️…
This RSI divergence strategy complements other mean-reversion RSI strategies (because its logic is slightly different). This strategy complements other mean reversion strategies because the logic is slightly different. Published early 2022, and again as the trading edge for June 2026. ✔️ 135 trades✔️ 1.15% average gain per trade✔️ 74% win rate✔️ Profit factor: 2.8✔️ 5.6%…
A swing trading strategy built on the Ultimate Oscillator – backtested on the SMH ETF and evaluated across various markets including stocks (S&P 500) and bonds (TLT). ✔️ 311 trades✔️ 0.85% average gain per trade✔️ 70% win rate✔️ Profit factor: 2.2✔️ 10.4% annual return (CAGR)✔️ 20% market exposure✔️ Risk-adjusted return: 50%✔️ Max drawdown: -46% You’ll…
A backtested swing trading strategy using the Williams %R indicator, enhanced with a second custom filter, applied on QQQ – the ETF tracking the Nasdaq 100. ✅ 255 trades✅ 1.13% average gain per trade✅ 75.7% win rate✅ Profit factor: 2.88✅ 11.4% annual return (CAGR)✅ Only 14.1% market exposure✅ Risk-adjusted return: 81.2%✅ Max drawdown: -20.8% You’ll get the full trading rules – ready to…
