Single Strategies Or Discounted Bundles

Last Updated on June 22, 2022 by Oddmund Groette

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You can purchase our monthly Trading Edges/strategies one by one or in discounted bundles (this page contains the monthly Trading Edges one by one):

  1. Buy one strategy for 149 USD.
  2. Buy 5 for 495 USD. Click here and choose “5 for 495 USD” and send us an e-mail at “oddmund at quantifiedstrategies dot com” and we will enable you access to your choices.
  3. Buy 10 for 795 USD. Click here and choose “10 for 795 USD” and send us an e-mail at “oddmund at quantifiedstrategies dot com” and we will enable you access to your choices.
  4. Strategy Bundles: Click Here and read more about our bundles for different asset classes. We have put together strategy bundles for a few different asset classes. You can check them out here or read about them further down in this article.
  5. Our best offer: The fourth and last option is the one we recommend because it’s the cheapest: Subscribe to our monthly Trading Edges. (Most of the strategies on this page have or will be published as a monthly Trading Edge – see each strategy for info). You get access to 12 future Trading Edges plus the library of the previous 12 Trading Edges if you pay the annual rebated fee (the “library” will not be full until January 2022, but this is reflected in the price).

Amibroker and Tradestation (Easy Language)


The strategies are mostly tested on ETFs, but they should work equally well on corresponding futures contracts. Each strategy has code for Amibroker, Tradestation/Easy Language (except number 6 about candlesticks which only has for Amibroker), and “plain English”. No commissions and slippage included.

Are you trading on another platform and wish we had code for you? Please let me know and I might add it in the near future.

Strategy bundles (strategy packages)

We offer a range of strategy bundles. These are packages with a few strategies within the same type or asset class. Please check our separate landing page for strategy bundles.

Strategy 1: ATR Swing Trade Nasdaq/S&P 500

The strategy uses ATR as “bands” but additionally uses two other criteria. The strategy works best on the S&P 500 and Nasdaq.

The strategy was our monthly Trading Edge for August 2021.

Performance metrics:

  • No. of trades: 157
  • Average gain per trade: 1.8% (2.84% for winners and -2.27% for losers)
  • Win ratio: 79%
  • Profit factor: 3.61
  • CAGR: 13.7%
  • Exposure/time in the market: 11%
  • Max drawdown: -19.5%

The equity curve (log scale) on QQQ:

Order by clicking here (check for strategy no.1):

Once you have paid you can download the strategy on this link.

Strategy 2: IBS Swing Trade in the S&P 500

The strategy uses the IBS indicator but we made a small twist to it. The strategy performs well on stock indices but yields the best result on the S&P 500.

The strategy was our monthly Trading Edge for October 2021.

Performance metrics:

  • No. of trades: 526
  • Average gain per trade: 0.8% (1.67% for winners and -1.75% for losers)
  • Win ratio: 74%
  • Profit factor: 2.73
  • CAGR: 15.4%
  • Exposure/time in the market: 36%
  • Max drawdown: -22%

The equity curve (log scale) in SPY:

Order by clicking here (check for strategy no.2):

Once you have paid you can download the strategy on this link.

Strategy 3: Williams R% Swing Trade in Nasdaq

The strategy uses the famous and handy Williams %R indicator but we added another indicator to make the strategy more robust and better. The strategy performs well on most stock indices but yields the best result in Nasdaq.

Performance metrics:

  • No. of trades: 215
  • Average gain per trade: 1.4% (2.35% for winners and -2.2% for losers)
  • Win ratio: 79%
  • Profit factor: 3.53
  • CAGR: 14.6%
  • Exposure/time in the market: 14%
  • Max drawdown: -20.5%

The equity curve (log scale) in QQQ:

Order by clicking here (check for strategy no.3):

Once you have paid you can download the strategy on this link.

Strategy 4: IBS + Second Indicator Swing Trade in the S&P 500/Nasdaq

The strategy uses the widely used IBS indicator but we added a second indicator to improve the strategy. The strategy performs well on most stock indices but yields the best result in the S&P 500 and Nasdaq.

Performance metrics (QQQ):

  • No. of trades: 196
  • Average gain per trade: 1.36% (2.5% for winners and -2.2% for losers)
  • Win ratio: 75%
  • Profit factor: 3.15
  • CAGR: 12.7%
  • Exposure/time in the market: 14%
  • Max drawdown: -19.5%

The equity curve (log scale) in QQQ:

Order by clicking here (check for strategy no.4):

Once you have paid you can download the strategy on this link.

Strategy 5: ADX + Second Indicator Swing Trade in Nasdaq (works on S&P 500 as well)

The strategy uses the often ignored ADX indicator. The indicator is valuable, but not on a stand-alone basis. We have developed an ADX strategy together with another indicator. The strategy performs well on most stock indices but yields the best result in Nasdaq.

Performance metrics (QQQ):

  • No. of trades: 238
  • Average gain per trade: 1.1% (2.2% for winners and -2.5% for losers)
  • Win ratio: 77%
  • Profit factor: 2.83
  • CAGR: 12.6%
  • Exposure/time in the market: 17%
  • Max drawdown: -27.5%

The equity curve (log scale) in QQQ:

Order by clicking here (check for strategy no.5):

Once you have paid you can download the strategy on this link.

Strategy 6: 23 Candlestick formations

We have Amibroker code for 23 candlestick formations (no Tradestation code yet for candlesticks). Please check out this article where we tested these 23 formations. The formations seem to work on the S&P 500 and Nasdaq.

PS! This product costs 299 USD!

Order by clicking here (check for strategy no.6):

Once you have paid you can download the strategy on this link.

Strategy 7: XLP swing trade

The ETF XLP tracks consumer stocks like Wal-Mart, Procter&Gamble, etc. Its movements are different than the main stock indices and XLP is an underrated trading vehicle.

We have made a strategy that generates signals in XLP based on another relevant ETF.

This strategy was our monthly Trading Edge for May 2021.

Performance metrics (XLP):

  • No. of trades: 416
  • Average gain per trade: 0.46% (1.08% for winners and -1.25% for losers)
  • Win ratio: 73%
  • Profit factor: 2.18
  • CAGR: 9.1%
  • Exposure/time in the market: 32%
  • Max. drawdown: -15%

The equity curve (log scale):

Order by clicking here (check for strategy no.7):

Once you have paid you can download the strategy on this link.

Strategy 8: XLP Swing Trade

The ETF XLP tracks consumer stocks like Wal-Mart, Procter&Gamble, etc. Its movements are different than the main stock indices and XLP is an underrated trading vehicle.

The strategy is based on two variables but has yet proven efficient.

The strategy was our monthly Trading Edge for April 2021.

Performance metrics (XLP):

  • No. of trades: 141
  • Average gain per trade: 0.74% (1.26% for winners and -1.8% for losers)
  • Win ratio: 83%
  • Profit factor: 3.48
  • CAGR: 5.1%
  • Exposure/time in the market: 10%
  • Max. drawdown: -10%

The equity curve (log scale):

Order by clicking here (check for strategy no.8):

Once you have paid you can download the strategy on this link.

Strategy 9: Overnight Open<Low Edge in Nasdaq

The strategy buys at the close and sells on the next open (no matter what). The strategy is based on two variables but has yet proven efficient.

This strategy was our monthly Trading Edge for March 2021.

Performance metrics (QQQ):

  • No. of trades: 502
  • Average gain per trade: 0.24% (0.84% for winners and -0.72% for losers)
  • Win ratio: 62%
  • Profit factor: 1.79
  • CAGR: 5.7%
  • Exposure/time in the market: 9.5%
  • Max. drawdown: -11%

The equity curve (log scale):

Order by clicking here (check for strategy no.9):

Once you have paid you can download the strategy on this link.

Strategy 10: End Of Month Overnight Edge In The S&P 500

The strategy buys at the close and sells on the next open (no matter what). The strategy is based on one variable but has yet proven efficient.

This strategy was our monthly Trading Edge for February 2021.

Performance metrics (SPY):

  • No. of trades: 178
  • Average gain per trade: 0.14% (0.41% for winners and -0.35% for losers)
  • Win ratio: 65%
  • Profit factor: 2.1
  • CAGR: 1.2%
  • Exposure/time in the market: 3%
  • Max. drawdown: -3%

The equity curve (log scale):

Order by clicking here (check for strategy no.10):

Once you have paid you can download the strategy on this link.

Strategy 11: Friday Bond Trade (TLT)

The strategy is based on seasonality and has additionally two simple criteria based on where the close is in relation to the previous days.

This strategy was our monthly Trading Edge for June 2021.

Performance metrics (TLT):

  • No. of trades: 221
  • Average gain per trade: 0.45% (0.94% for winners and -1.14% for losers)
  • Win ratio: 75%
  • Profit factor: 2.7
  • CAGR: 5.9%
  • Exposure/time in the market: 15%
  • Max. drawdown: -8.8%

The equity curve (log scale):

Order by clicking here (check for strategy no.11):

Once you have paid you can download the strategy on this link.

 

Strategy 12: Overnight Short in Chinese stocks (FXI)

The strategy is based on a weekly seasonality and enters at the close and exits at the open the next day.

This strategy was our monthly Trading Edge for July 2021.

Performance metrics (FXI):

  • No. of trades: 151
  • Average gain per trade: 0.34% (0.9% for winners and -0.7% for losers)
  • Win ratio: 65%
  • Profit factor: 2.4
  • CAGR: 4.4%
  • Exposure/time in the market: 2.6%
  • Max. drawdown: -3.6%

The equity curve (log scale):

Order by clicking here (check for strategy no.12):

Once you have paid you can download the strategy on this link.

Strategy 13: Overnight Long trade in Silver Miners (SIL)

The strategy enters at the close and exits at the open the next day based on two simple criterias.

This strategy was our monthly Trading Edge for September 2021.

Performance metrics (SIL):

  • No. of trades: 215
  • Average gain per trade: 0.63% (1.33% for winners and -0.8% for losers)
  • Win ratio: 67%
  • Profit factor: 3.3
  • CAGR: 12.1%
  • Exposure/time in the market: 7%
  • Max. drawdown: -4.8%

The equity curve (log scale):

Order by clicking here (check for strategy no.13):

Once you have paid you can download the strategy on this link.

Strategy 14: Overnight Long trade in DAX-futures (FDAX)

The strategy enters at the close (1730 CET) and exits at the open the next day (0900 CET). There are two buy criteria. The backtest is on the big contract (FDAX).

This strategy was our monthly Trading Edge for November 2021.

Performance metrics (FDAX):

  • No. of trades: 209
  • Average gain per trade: 0.22% (0.67% for winners and -0.61% for losers)
  • Win ratio: 65%
  • Profit factor: 2
  • CAGR: 2.15% (assuming no leverage)
  • Exposure/time in the market: 3.82%
  • Max. drawdown: -5.12%

The equity curve (log scale):

Order by clicking here (check for strategy no.14):

Once you have paid you can download the strategy on this link.

 

Strategy 15: Short swing trade in TLT/bonds

The strategy has two variables for entry and exits after n days.

This strategy was our monthly Trading Edge for December 2021.

Performance metrics (TLT):

  • No. of trades: 184
  • Average gain per trade: 0.52% (1.86% for winners and -1.66% for losers)
  • Win ratio: 62%
  • Profit factor: 1.8
  • CAGR: 4.9% (assuming no leverage)
  • Exposure/time in the market: 26%
  • Max. drawdown: -13%

The equity curve (log scale):

Order by clicking here (check for strategy no.15):

Once you have paid you can download the strategy on this link.

 

Strategy 16: Long swing trade in XLU (utilities)

The strategy has two variables for entry and exits after n days.

This strategy was our monthly Trading Edge for January 2022.

Performance metrics (XLU):

  • No. of trades: 145
  • Average gain per trade: 0.88% (2.22% for winners and -1.44% for losers)
  • Win ratio: 63%
  • Profit factor: 2.6
  • CAGR: 5.75% (assuming no leverage)
  • Exposure/time in the market: 15%
  • Max. drawdown: -10%

The equity curve (log scale):

Order by clicking here (check for strategy no.16):

Once you have paid you can download the strategy on this link.

 

Strategy 17: Long volatility swing trade in SPY (S&P 500)

The strategy has two variables for entry and one for the exit. The strategy is a volatility long strategy and about 65% of the trades enter on a day where the close is higher than the previous close, even high RSI. Thus, it should work well with mean reversion strategies.

This strategy was our monthly Trading Edge for February 2022.

Performance metrics (SPY):

  • No. of trades: 365
  • Average gain per trade: 0.42% (0.95% for winners and -1.25% for losers)
  • Win ratio: 76%
  • Profit factor: 2.3
  • CAGR: 5.2% (assuming no leverage)
  • Exposure/time in the market: 14%
  • Max. drawdown: -16%

The equity curve (log scale):

Order by clicking here (check for strategy no.17):

Once you have paid you can download the strategy on this link.

 

Strategy 18: Overnight long trade in SPY (S&P 500)

The strategy has three variables for entry and one for exit. Entry is at the close and the exit is at the close the next day.

Performance metrics (SPY):

  • No. of trades: 367
  • Average gain per trade: 0.36% (1.37% for winners and -1.2% for losers)
  • Win ratio: 61%
  • Profit factor: 1.78
  • CAGR: 4.4% (assuming no leverage)
  • Exposure/time in the market: 5%
  • Max. drawdown: -10%

The equity curve (log scale):

Order by clicking here (check for strategy no.18):

Once you have paid you can download the strategy on this link.

 

Strategy 19: Overnight long trade in HYG (junk bonds)

The strategy has three variables for entry and one for the exit. Entry is at the close and the exit is at the close the next day.

This strategy was our monthly Trading Edge for April 2022.

Performance metrics (HYG):

  • No. of trades: 151
  • Average gain per trade: 0.24% (0.67% for winners and -0.47% for losers)
  • Win ratio: 62%
  • Profit factor: 2.4
  • CAGR: 2.4% (assuming no leverage)
  • Exposure/time in the market: 4%
  • Max. drawdown: -4%

The equity curve (log scale):

Order by clicking here (check for strategy no.19):

Once you have paid you can download the strategy on this link.

Strategy 20: Overnight long trade in SPY/ES (S&P 500)

The strategy has three variables for entry (seasonal trading strategy) and one for the exit. Entry is at the open and the exit is at the close the next day.

This strategy was our monthly Trading Edge for May 2022.

Performance metrics (SPY):

  • No. of trades: 236
  • Average gain per trade: 0.46% (1.23% for winners and -0.86% for losers)
  • Win ratio: 63%
  • Profit factor: 2.1
  • CAGR: 3.7% (assuming no leverage)
  • Exposure/time in the market: 3.2%
  • Max. drawdown: -5%

The equity curve (log scale):

Order by clicking here (check for strategy no.20):

Once you have paid you can download the strategy on this link.

Strategy 21: Long swing trade in QQQ/NQ (Nasdaq)

The strategy has three variables for entry and one for exit. Entry is at the close and the exit is at the close one or more trading days later.

This strategy was our monthly Trading Edge for June 2022.

Performance metrics (SPY):

  • No. of trades: 177
  • Average gain per trade: 0.86% (1.99% for winners and -2.19% for losers)
  • Win ratio: 73%
  • Profit factor: 2.4
  • CAGR: 6.7% (assuming no leverage)
  • Exposure/time in the market: 12%
  • Max. drawdown: -19%

The equity curve (log scale):

Order by clicking here (check for strategy no.20):

Once you have paid you can download the strategy on this link.

 

Disclaimer: We are not financial advisors. Please do your own due diligence and investment research or consult a financial professional. All articles are our opinions – they are not suggestions to buy or sell any securities. Always use a demo account for many months before you commit real money.

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