TIMING MODEL-2

“ETF Pairs Switching”

Profiting from Bull and Bear Markets

TIMING MODEL-2 “ETF Pairs Switching” generates signals for both the long and the short side of the market.

By trading both the market up waves and the down waves, investors can dramatically increase their profit potential. In a bullish market, asset prices are generally rising, which means there is the potential for traders to profit from buying low and selling high. This is the most straightforward way to make money in the markets. In a bearish market, traders can profit by short-selling or using other strategies that benefit from falling asset prices. This allows traders to make money even when the overall market is declining.

Example Backtested Performance Metrics

TIMING MODEL-2 is designed to perform optimally when using investment vehicles that closely track the Nasdaq-100 Index.

30% of capital per position; max 5 open positions; 2:1 margin.

Although the examples were backtested with varying amounts of historical data due to different ETF inception dates, all use the same underlying algorithmic market timing tested on 36+ years of historical index data.

*QQQ L/S means this sample performance metric goes both Long and Short on QQQ

Read about risks associated with leveraged investments

Read about risks associated with leveraged investments

Read about risks associated with leveraged investments

Equity Curves: TIMING MODEL-2 vs Buy and Hold

The below charts show hypothetical growth of $40,000 for various ETF pair combinations compared with buy and hold of the long-only ETF of the pair. For example, the TQQQ-SQQQ ETF pair traded using the ETF Pairs Switching strategy is compared with TQQQ using buy and hold.
Note that these are hypothetical results and the backtested hypothetical compounded growth of leveraged ETFs can be such that it outpaces the number of shares available in the market.

Annualized Returns and Drawdown

Monthly Performance

JanFebMarAprMayJunJulAugSepOctNovDecAnnual
19992.073.59-4.6816.28-2.587.951.1913.0816.1232.01116.18%
2000-2.2923.6920.6747.2830.15026.4700000253.55%
2001-0.0721.11026.984.836.7800-1.125.5523.7814.63203.07%
20021.3416.21000000010.4419.0621.688.30%
2003-0.33-3.38-0.440.3912.440.768.686.86-3.9211.60.754.0442.34%
200414.291.852.653.79-6.07-4.3210.821.14.57.418.712.8956.78%
2005-1.30.672.426.760-4.5811.57-2.221.82-2.29.02-2.919.22%
200611.33.66000002.046.86.94.88-2.8137.01%
20072.99-2.360.657.884.360.553.550.260.966.1610.213.645.57%
20080001.168.897.61-0.82-1.8820.899.040052.06%
2009005.4919.544.543.9511.661.977.41-4.018.416.5485.80%
2010-8.296.029.82.8316.370-1.12-7.719.99.2-0.246.4462.10%
20113.934.35-0.83.91-2.936.0701.02-1.0300-2.8911.75%
201212.719.316.891.7810.2-2.640.867.764.467.8-1.71.3675.37%
2013-3.40.524.193.765.242.44-5.16-0.596.767.265.093.6733.11%
2014-2.686.64-4.09-0.456.283.921.616.81.698.576.450.3840.11%
20153.041.61-3.842.93.36-411.4323.0105.610.772.8854.27%
201610.019.833.53-4.746.6-3.7510.711.522.83-2.090.631.240.89%
20177.366.142.53.745.29-3.465.492.76-0.686.112.580.5145.07%
201812.6910.1002.651.394.178.51-0.661.320.3619.3375.94%
201914.54.315.318.947.38000-0.686.666.065.3574.16%
20204.3734.50.3325.839.148.269.7412.8916.52-4.8117.216.86260.38%
20210.3720.2-2.051.36-1.89.244.196.099.991.344.47-1.8262.38%
202220.0703.88.53005.9721.289.6603.398.83114.50%
20232.49-0.5313.670.7211.098.425.220.837.732.69-5.3156.23%

*QQQ L/S means this sample performance metric goes both Long and Short on QQQ

JanFebMarAprMayJunJulAugSepOctNovDecAnnual
20063.9212.7212.748.27-13.3923.84%
20074.15-4.890.8514.67.910.592.890.111.171.69.765.4352.25%
20080001.287.227.9-1.61-323.5417.830062.78%
2009009.3124.015.395.1715.922.5210.75-6.111.9710.23129.18%
2010-12.478.7215.164.0630.8400.17-13.0542.6317.97-1.1212.91144.13%
20117.117.91-1.737.27-5.359.3601.65.0300-4.3428.74%
201226.1518.4413.561.713.907.2115.498.728.6700187.51%
20130.060.738.796.8110.192.28-10.87-1.5414.1914.339.477.7978.44%
2014-5.3613.66-7.22-1.4311.867.782.6512.771.8218.1513.1-2.4382.26%
20154.87-4.15-7.645.626.82-7.7122.4356.4906.37-3.333.2796.67%
201620.5225.316.35-9.7413.33-7.4322.082.725.81-4.240.82.9100.44%
201714.2711.745.016.879.69-6.4210.374.43-0.7611.234.481.0797.61%
201823.8224.37005.012.557.4817.08-1.15-3.16-1.6849.91194.43%
201929.347.8410.3116.515.83000-3.4712.9711.8610.78180.57%
20207.7854.17142.6614.0613.816.4422.5930.81-5.4333.3713.53730.92%
20210.338.88-7.85-1.887.7718.487.6611.352.113.062.58-5.2597.19%
20224803.929.110011.1232.8123.9508.1215.29282.64%
202313.05-2.0622.230.3917.5216.449.861.052.77112.11%

Read about risks associated with leveraged investments

JanFebMarAprMayJunJulAugSepOctNovDecAnnual
20100.34-19.0967.526.14-1.8118.85100.16
20119.8411.05-2.7910.23-7.14002.466.4500-7.0923
201240.8927.6119.95-0.340010.72239.02000219.08
20130.250.913.1810.0515.072.47-13.9-2.522.2320.613.7811.45133.11
2014-8.0319.8-10.36-2.5817.1911.643.6918.582.5327.0520.33-4.76131.06
20157.26-6.41-11.448.259.88-11.5134.598.909.52-5.314.23170.55
201630.725.569.42-14.0419.83-11.3934.074.147.93-6.181.53.52143.5
201721.217.217.019.9113.8-9.5315.095.92-1.2316.036.291.34158.84
201835.0328.98007.433.2711.2325.4-2.16-6.02-3.8176.52320.76
201944.0511.614.524.5823.43000-5.419.2717.8215.77335.63
202010.9688.561.4267.3321.119.9424.2834.5936.62-11.3653.9720.551,839.30
2021-0.6262.32-13.4-2.5211.3127.7511.1716.443.24.623.85-8.28157.79
202256.9105.8114.050016.6851.9315.77010.9327.71450.57
202319.64-3.9932.64-0.0426.123.5814.27000171.18

Read about risks associated with leveraged investments

JanFebMarAprMayJunJulAugSepOctNovDecAnnual
20185.5321.04-20.9418.90018.68
201964.220.8413.7519.0831.92000-16.5729.7333.5832.3466.01
202031.39118.872.3599.9623.2527.8849.669.413.39-5.3629.845.774252.47
20213.4893.7227.921.72-2.6645.72-9.0511.729.214.463.454.26362.57
202245.3304.427.020012.1652.699.28028.141.96555.89
202325.326.3736.68-5.3854.1129.6312.6110.9800330.41

Read about risks associated with leveraged investments

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TUC MODEL-2




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Hypothetical Results Disclaimer