IWM Russel 2000 -1D (E.Trader)

Summary
Strategy on IWM (Russell 2000), 1D timeframe (2003–2025, ETF maturity period).
Initial capital: 1,000 USD, 100% reinvest.
Long-only strategy with realistic commissions and slippage (Interactive Brokers: $0.005/share, 3 ticks).

Key results (2003–2025)
• Total P&L: +2,087.01%
• CAGR: 11.4% (vs Buy & Hold: 7.6%) → ~1.5x higher annualized return
• Profit factor: 2.107
• Winning trades: 70.35%
• Max drawdown: 25.73%
• Time in the market: ~52% (trading days basis)
• Buy & Hold return: +556.36% → Strategy outperforms by ~3.7x

Strategy logic
• Restricted to IWM on ARCA, in 1D timeframe
• Long entries only (no shorts)
• Exploits two major biases: 1) trends and 2) overreactions
• Excludes very high VIX periods
• Implements calculated stop-losses
• Integrates commission and slippage to reflect real trading conditions (based on Interactive Brokers usage)

Focus 2008–2009 (financial crisis, May 31, 2008 – Dec 31, 2009)
• Return: +38.46% (vs Buy & Hold: –14.71%)
• Profit factor: 3.522
• Winning trades: 75%
• Max drawdown: 9.96%
Even at the height of 2008, the strategy remained profitable, while Buy & Hold was still showing a significant loss two years later.

Focus 2020–2021 (COVID crash and recovery, Jan 31, 2020 – Dec 31, 2021)
• Return: +89.70% (vs Buy & Hold: +79.06%)
• Profit factor: 4.764
• Winning trades: 81.82%
• Max drawdown: 10.35%
The strategy navigated the COVID mini-crash effectively, finishing the 2020–2021 period ahead of Buy & Hold, with lower drawdown.

Observations
• Strong outperformance vs Buy & Hold with less exposure
• Resilient across major stress periods (2008, COVID-2020)
• Limited drawdowns, faster recoveries

Model validation and parameter weighting
To check robustness and avoid overfitting, I use a simple weighted-parameters ratio (explained in more detail here: Reddit post).

In this strategy:
• 4 primary parameters (weight 1)
• 5 secondary parameters (weight 0.5)
• Weighted param count = 4×1 + 5×0.5 = 6.5
• Total trades = 425
• Ratio = 425 ÷ 6.5 ≈ 65

Since this ratio is well above the 25 threshold I usually apply, it appears the model is not overfitted according to my experience — especially given its consistent gains even through crises such as 2008 and COVID-2020.

Disclaimer
This is an educational backtest. It does not constitute investment advice.
Past performance does not guarantee future results. Use at your own risk.

Further notes
In practice, systematic strategies like this are usually executed through automation to avoid human bias and ensure consistency. For those interested, I share more about my general approach and related tools here (personal site): https://emailtrader.app