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Backtested, profitable trading strategies with our OMEGA signals.

Past performance is NOT indicative of future performance.

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Trading can result in the loss of 100% of your invested capital.

Last Update: Aug 16, 2024

Strategy Prospectus: x_TW_v3_mc-int_SPY
15+ years | 55.21% cagr | 37.4% max drawdown

Access Limit: 50 clients

Strategy Description

Our x_TW_v3_mc-int_SPY strategy is a high-risk strategy designed for trading in the SPDR S&P 500 ETF (SPY), one of the most liquid ETFs available. This swing trading strategy dynamically positions itself for both long and short trades, capitalizing on market fluctuations with an advanced pyramiding approach and robust risk management techniques. The strategy is optimized for high-volatility environments, where it consistently outperforms market benchmarks, while maintaining competitive performance during periods of low volatility. With a focus on maximizing returns, this strategy uses leverage of up to 155%, delivering outsized returns on equity combined with substantial risk and increased maximum drawdown compared to our previous SPY strategies (No. 001 and No. 002).

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click image to enlarge

The images above illustrate the equity curve of our strategy for the test time frame (Jan 1, 2009 to Aug 16, 2024), with the red line representing the buy-and-hold performance of the benchmark, SPY. To enhance visibility, we have also included a logarithmic equity curve. The highlighted boxed areas mark periods of heightened volatility, demonstrating that the strategy significantly outperforms the benchmark during these times. Additionally, we have identified and marked the two instances in the 15-year timespan where the strategy experienced a peak-to-trough drawdown exceeding 20%.

 

Strategy Overview

Strategy Number:     003
Strategy Name:         x_TW_v3_mc-int_SPY
Style:                           Swing Trading
Symbol:
                      SPY
Backtested:               Jan 1, 2009 – Aug 16, 2023   (15+ Years)

Backtest Results

Annualized Return (CAGR):  55.21%
Win Rate:
                                   71.22%
Profit Factor:                            3.06
Number of Trades:               
   629
Drawdowns >20%:                   28.6%, 37.44%
Sortino Ratio:                           1.2

Backtest Settings

Initial Capital:      $10,000
Max Leverage:    155%
Signal Algo:         Omega Signals by Tradingwhale
Pyramiding:         Yes
Scaling:                 No
Commission:       0.03%
Slippage:              2 Ticks
Margin:                 30% (margin loan costs not included in calculations)

Risk & Money Management

Max Leverage:     155% (1:1.55 Ratio)
Order Size:
            up to 85% of Equity each trade
Stop-Loss:            Yes
Take-Profit:         
Yes

A Strong Foundation

To further demonstrate the robustness of this strategy, we present the results without the utilization of any leverage.

The chart on the left showcases the strategy with regular scale (in thousands). The chart on the right shows the same data in LOG scale. Throughout the 15+-year testing timeframe the strategy using no leverage outperformed the SPY buy and hold strategy roughly by the factor of 3x, illustrating its potential for enhanced returns. This transparent comparison underscores the strategy’s effectiveness and adaptability across different trading environments. If the 2008 downturn is included in the test, the results look even better, as the strategy performs best in high-volatility environments. This can be seen well in the LOG scaled charts during market downturns (see red line of SPY prices for the backtesting time frame).

x_TW_v3_MC-INT_SPY_2009-2024_ZERO LVG_equity-curve logarithmic

Annual Performance Table

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Omega Trading Signals

Additional Insight

The x_TW_v2_SPY strategy is engineered to thrive under varying market conditions, with particular strength in volatile environments. Its sensitivity analysis demonstrates resilience against parameter changes, highlighting its robust risk management framework, including automated stop-loss and take-profit mechanisms.

When all leverage is removed from the strategy, during the backtest above the strategy still achieves ~2.9 times the returns compared to buy-&-hold.

Pricing (50 customers maximum)

One-time fee: $10,000
Performance Allocation: 20% of Net Profits

Serious investors email proof of funds to sales@tradingwhale.io.

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