Trading Strategies for Sale

Trading Strategies for Sale – Premium

Below, you will find backtested and researched trading ideas and analysis. They contain performance metrics, statistics, risks, historical performance, and figures.

We do investment research and analysis based on statistics and history for informational and educational purposes. This is factual information without opinions. It is not personalized investment advice.

You can purchase backtested strategies individually (one by one), as strategy bundles, or via our memberships:

  1. Price List
  2. Buy 1 Strategy (Without Becoming a Member) Pick 1 strategy from the strategy list or buy directly here.
  3. Buy 20 StrategiesGold member: Pick 10 strategies from the strategy list, and you will also get an additional 10 strategies over the next 12 months (20 in total). Access to Amibroker and Tradestation code and access to gated trading rules for hundreds of strategies.
  4. Buy Bundles: Beginner Bundle, Volatility Bundle, Short Strategies Bundle, Holiday Bundle, and 24-hour Day Trading Strategies Bundle
  5. Buy 34 Strategies (Incl Bundles)Platinum member: Pick 15 strategies from the strategy list, and you will also get an additional 10 strategies over the next 12 months. Access to Amibroker and Tradestation code, access to gated trading rules for hundreds of strategies, 3 bundles of your choice (#33 – #36, #43, #68, or #75 from our strategy list), backtesting course, and trading course. Recurring annually at a 50% reduced price (needs to be canceled by the subscriber).
  6. Purchase 10 more strategies for 159 USD per strategy (20% rebate) or 10 strategies for USD 990). (50% rebate!) (applies to Silver, Gold, and Platinum members).
  7. Futures Systems (Backtested): we have a separate list of trading strategies for futures.

Each strategy comes with trading rules in plain English and a strategy code of your choice. Available right now are Amibroker, Tradestation, and plain English – unless stated. (Tradingview and Python are on demand.) (It is important to note that while every effort has been made to ensure the accuracy of the information provided, we cannot guarantee that the results obtained using this trading strategy will be replicated when using other software platforms or trading systems.)

The historical performance and figures may not indicate the strategy’s future success (they are hypothetical). One of the limitations of hypothetical performance results is that they are prepared with the benefit of hindsight. The strategy is only backtested on the indicated asset; a backtest has limitations, and strategies might fail after backtesting (despite all strategies having at least two years of incubation before release). You should always do your own due diligence and research and use a demo account before you start. If you are unsure, please read our full disclaimer.

Commissions, slippage, and stops are not included in the backtests unless stated (estimated commissions and slippage), and simulations are done at the close unless otherwise stated (how to trade at the close – or alternative entries). You should know your commission rate before you order. The results are usually slightly worse if the trade is done at the next day’s opening (after a signal).

The equity curves show 100,000 invested and compounded from the start until today, i.e., profits are reinvested, and we use a logarithmic scale. For example, if you invest 100,000 and make 5,000 on the first trade, the next trade invests 105,000, and so on. X-axis shows time, and y-axis shows equity (how to read an equity curve). Trading involves risk, and it’s important to diversify your trading and not put all your eggs in one basket. Any trading strategy should be no more than 2% of your portfolio.

Table of contents:

Strategy 1: Swing Trade Nasdaq (volatility bands)

The strategy uses volatility bands but additionally uses two other criteria. Backtested on the ETF that tracks Nasdaq 100 (QQQ). Commissions of 0.025% each way are included.

The strategy has code for Amibroker, Tradestation/Easy Langauge, Ninjatrader, and TradingView/Pinescript.

The strategy was our monthly Trading Edge for August 2021 (but published a few years before that).

Statistics and figures (QQQ):

  • No. of trades: 181
  • Average gain per trade: 1.62% (2.6% for winners and -2.3% for losers)
  • Win ratio: 79%
  • Profit factor: 3.1
  • CAGR: 12.3%
  • Exposure/time in the market: 10%
  • Risk-adjusted return: 112% (CAGR divided by time spent in the market (0.1))
  • Max drawdown: -19.5%

The equity curve (log scale) on QQQ:

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

investment Strategies For Sale

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. We have the strategy with code for Amibroker, Tradestation, or Python. Backtested on the ETF that tracks S&P 500 (SPY). Commissions of 0.025% each way are included.

The strategy has code for Amibroker, Tradestation/Easy Langauge, and TradingView/Pinescript.

The strategy was our monthly Trading Edge for October 2021.

Statistics and figures (SPY):

  • No. of trades: 585
  • Average gain per trade: 0.73% (1.6% for winners and -1.7% for losers)
  • Win ratio: 73%
  • Profit factor: 2.4
  • CAGR: 14.1%
  • Exposure/time in the market: 36%
  • Risk-adjusted return: 19% (CAGR divided by time spent in the market (0.36))
  • Max drawdown: -22%

The equity curve (log scale) in SPY:

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

investment Strategies For Sale

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 a second indicator. Backtested on the ETF that tracks Nasdaq 100 (QQQ). Commissions of 0.025% each way are included.

he strategy has code for Amibroker, Tradestation/Easy Langauge, and TradingView/Pinescript.

Published October 2021.

Statistics and figures (QQQ):

  • No. of trades: 247
  • Average gain per trade: 1.25% (2.3% for winners and -2.1% for losers)
  • Win ratio: 77%
  • Profit factor: 3
  • CAGR: 13.2%
  • Exposure/time in the market: 13%
  • Risk-adjusted return: 92% (CAGR divided by time spent in the market (0.14))
  • Max drawdown: -20.5%

The equity curve (log scale) in QQQ:

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

Trading systems for sale

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

Strategy 4: Two Indicator Swing Trade Strategy (Nasdaq – QQQ)

The strategy uses the widely used IBS indicator, but we added a second indicator. Backtested on the ETF that tracks Nasdaq 100 (QQQ). Commissions of 0.025% each way are included.

Published October 2020.

Statistics and figures (QQQ):

  • No. of trades: 226
  • Average gain per trade: 1.2% (2.4% for winners and -2.0% for losers)
  • Win ratio: 73%
  • Profit factor: 2.7
  • CAGR: 11.7%
  • Exposure/time in the market: 14%
  • Risk-adjusted return: 83% (CAGR divided by time spent in the market (0.14))
  • Max drawdown: -19%

The equity curve (log scale) in QQQ:

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

Trading systems for sale

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

Strategy 5: Double Indicator Swing Trade in Nasdaq

The strategy uses the often ignored ADX indicator. We Backtest uses the ADX indicator together with another indicator. Backtested on the ETF that tracks Nasdaq 100 (QQQ). Commissions of 0.025% each way are included.

Published October 2020.

Statistics and figures (QQQ):

  • No. of trades: 274
  • Average gain per trade: 1.0% (2.1% for winners and -2.5% for losers)
  • Win ratio: 76%
  • Profit factor: 2.5
  • CAGR: 11.5%
  • Exposure/time in the market: 17%
  • Risk-adjusted return: 70% (CAGR divided by time spent in the market (0.16))
  • Max drawdown: -28%

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 (Tradestation code for all 75 candlesticks is found here). Please check out this candlestick article where we tested these 23 formations. The candlesticks are put down into trading rules and backtested on S&P 500 (SPY).

Published December 2021.

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

investing systems for sale

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.

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

This strategy was our monthly Trading Edge for May 2021.

Statistics and figures (XLP):

  • No. of trades: 464
  • Average gain per trade: 0.4% (1% for winners and -1.4% for losers)
  • Win ratio: 73%
  • Profit factor: 1.8
  • CAGR: 8.4%
  • Exposure/time in the market: 35%
  • Risk-adjusted return: 23% (CAGR divided by time spent in the market (0.35))
  • Max. drawdown: -15%

The equity curve (log scale):

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

investing systems for sale

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.

The strategy is based on two variables.

he strategy has code for Amibroker, Tradestation/Easy Langauge, and TradingView/Pinescript.

The strategy was our monthly Trading Edge for April 2021.

Statistics and figures (XLP):

  • No. of trades: 158
  • Average gain per trade: 0.6% (1.2% for winners and -1.9% for losers)
  • Win ratio: 81%
  • Profit factor: 2.5
  • CAGR: 4.1%
  • Exposure/time in the market: 10%
  • Max. drawdown: -10%

The equity curve (log scale):

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

trading strategies for sale

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

Strategy 9: Overnight Edge in Nasdaq

The strategy buys at the close and sells on the next open. The strategy is based on two variables. Backtested on the ETF that tracks Nasdaq 100 (QQQ). Commissions and slippage of 0.025% for each trade are included.

This strategy was our monthly Trading Edge for March 2021.

Statistics and figures (QQQ):

  • No. of trades: 409
  • Average gain per trade: 0.19% (0.75% for winners and -0.73% for losers)
  • Win ratio: 62%
  • Profit factor: 1.6
  • CAGR: 3.5%
  • Exposure/time in the market: 7.3%
  • Max. drawdown: -10%

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 Nasdaq

The strategy buys at the close and sells on the next open (no matter what). The strategy is based on one variable. Backtested on the ETF that tracks Nasdaq 100 (QQQ).

This strategy was our monthly Trading Edge for February 2021.

Statistics and figures (QQQ):

  • No. of trades: 191
  • Average gain per trade: 0.26% (0.57% for winners and -0.42% for losers)
  • Win ratio: 68%
  • Profit factor: 2.1
  • CAGR: 2.0%
  • Exposure/time in the market: 3%
  • Max. drawdown: -2%

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: Seasonal 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. Backtested on the ETF that tracks bonds (TLT).

This strategy was our monthly Trading Edge for June 2021.

Statistics and figures (TLT):

  • No. of trades: 272
  • Average gain per trade: 0.37% (0.96% for winners and -1.1% for losers)
  • Win ratio: 72%
  • Profit factor: 2
  • CAGR: 4.7%
  • Exposure/time in the market: 15%
  • Max. drawdown: -9%

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: Breakout Strategy (Long) In Gold (GLD)

The strategy is based on breakouts, entering at the close and exiting a few days later. There are three variables. Backtested on the ETF that tracks gold (GLD).

he strategy has code for Amibroker, Tradestation/Easy Langauge, and TradingView/Pinescript.

This strategy was our monthly Trading Edge for November 2023.

(Originally we had an FXI strategy as #12, but we removed it due to zero interest.)

Statistics and figures (GLD):

  • No. of trades: 483
  • Average gain per trade: 0.38% (0.95% for winners and -1.5% for losers)
  • Win ratio: 76%
  • Profit factor: 1.9
  • CAGR: 9.7%
  • Exposure/time in the market: 28%
  • Max. drawdown: -12%

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: QQQ Collapse Trading Strategy

The strategy enters at the open and exits at the close based on two simple criteria. The holding period is short. Backtested on the ETF that tracks Nasdaq 100 (QQQ).

(Originally we had a SIL strategy as #13 (Trading Edge for September 2021), but because the liquidity of SIL has dropped, we are not offering this strategy anymore – but the strategy is still performing well).)

Commissions of 0.025% each way are included.

This strategy was our monthly Trading Edge for January 2024.

Statistics and figures (QQQ):

  • No. of trades: 402
  • Average gain per trade: 0.56% (2% for winners and -1.8% for losers)
  • Win ratio: 62%
  • Profit factor: 1.7
  • CAGR: 8.6%
  • Exposure/time in the market: 10%
  • Risk-adjusted return: 79% (CAGR divided by time spent in the market (0.1))
  • Max. drawdown: -23%

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.

Statistics and figures (FDAX contract):

  • No. of trades: 172
  • Average gain per trade: 0.2% (0.65% for winners and -0.61% for losers)
  • Win ratio: 65%
  • Profit factor: 1.9
  • CAGR: 2.1% (assuming no leverage)
  • Exposure/time in the market: 3.8%
  • Max. drawdown: -6%

The equity curve (log scale):

Trading Strategies For Sale

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. Backtested on the ETF that tracks bonds (TLT). Commissions of 0.025% each way are included.

This strategy was our monthly Trading Edge for December 2021.

Statistics and figures (TLT):

  • No. of trades: 203
  • Average gain per trade: 0.55% (1.9% for winners and -1.7% for losers)
  • Win ratio: 62%
  • Profit factor: 1.9
  • CAGR: 5% (assuming no leverage)
  • Exposure/time in the market: 26%
  • Risk-adjusted return: 19% (CAGR divided by time spent in the market (0.26))
  • 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. Backtested on the ETF that tracks utilities (XLU).

This strategy was our monthly Trading Edge for January 2022.

Statistics and figures (XLU):

  • No. of trades: 165
  • Average gain per trade: 0.74%
  • Win ratio: 60%
  • Profit factor: 1.9
  • CAGR: 4.6% (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.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 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. Backtested on the ETF that tracks S&P 500 (SPY).

This strategy was our monthly Trading Edge for February 2022.

Statistics and figures (SPY):

  • No. of trades: 397
  • Average gain per trade: 0.42% (0.95% for winners and -1.2% for losers)
  • Win ratio: 76%
  • Profit factor: 2.3
  • CAGR: 5.3% (assuming no leverage)
  • Exposure/time in the market: 14%
  • Risk-adjusted return: 36% (CAGR divided by time spent in the market (0.62))
  • 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. Backtested on the ETF that tracks S&P 500 (SPY).

This strategy was our monthly Trading Edge for March 2022.

Statistics and figures (SPY):

  • No. of trades: 425
  • Average gain per trade: 0.35% (1.35% for winners and -1.15% for losers)
  • Win ratio: 60%
  • Profit factor: 1.76
  • CAGR: 4.5% (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: Short Swing Strategy Semiconductors SMH

The strategy has two variables for both short entry and short covering. Commissions of 0.025% each way are included.

The strategy works well for SPY (S&P 500) and IWM (Russell 2000) as well.

This strategy was our monthly Trading Edge for May 2024.

(Originally, this strategy was the monthly edge for April 2022 for HYG, but we removed it due to lack of interest.)

Statistics and figures (SMH):

  • No. of trades: 110
  • Average gain per trade: 0.79% (1.9% for winners and -2.4% for losers)
  • Win ratio: 75%
  • Profit factor: 2.4
  • CAGR: 3.5% (assuming no leverage)
  • Exposure/time in the market: 3%
  • Risk-adjusted return: 110% (CAGR divided by time spent in the market (0.03))
  • Max. drawdown: -12%

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 (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. Backtested on the ETF that tracks S&P 500 (SPY). Commissions of 0.025% each way are included.

This strategy was our monthly Trading Edge for May 2022.

Statistics and figures (SPY):

  • No. of trades: 312
  • Average gain per trade: 0.37% (1.12% for winners and -0.84% for losers)
  • Win ratio: 62%
  • Profit factor: 2
  • CAGR: 3.7% (assuming no leverage)
  • Exposure/time in the market: 3.7%
  • Risk-adjusted return: 93% (CAGR divided by time spent in the market (0.39))
  • Max. drawdown: -8%

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 (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. Backtested on the ETF that tracks Nasdaq 100 (QQQ).

This strategy was our monthly Trading Edge for June 2022.

Statistics and figures (QQQ):

  • No. of trades: 188
  • Average gain per trade: 0.75% (1.9% for winners and -2.2% for losers)
  • Win ratio: 72%
  • Profit factor: 2.1
  • CAGR: 6.0% (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.21):

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

Strategy 22: Long overnight trade in QQQ/SPY (Nasdaq/SP500)

The strategy has two variables for entry and one for exit. Entry is at the close and the exit is at the close of the next trading day. You hold it for 24 hours only. Backtested on the ETF that tracks Nasdaq 100 (QQQ). Commissions of 0.025% each way are included.

This strategy was our monthly Trading Edge for July 2022.

Statistics and figures (QQQ):

  • No. of trades: 418
  • Average gain per trade: 0.55% (1.8% for winners and -1.4% for losers)
  • Win ratio: 61%
  • Profit factor: 1.9
  • CAGR: 9.5% (assuming no leverage)
  • Exposure/time in the market: 6%
  • Max. drawdown: -12%

The equity curve (log scale):

Order by clicking here (check for strategy no.22):

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

Strategy 23: Short swing trade XLP

The strategy has five variables for entry and two for exit. Entry is at the close and the average holding time is 2.7 days. Backtested on the ETF that tracks consumer staples (XLP).

This strategy was our monthly Trading Edge for August 2022.

Statistics and figures (XLP):

  • No. of trades: 218
  • Average gain per trade: 0.3%
  • Win ratio: 73%
  • Profit factor: 2.5
  • CAGR: 2.6% (assuming no leverage)
  • Exposure/time in the market: 6%
  • Max. drawdown: -4%

The equity curve (log scale):

Order by clicking here (check for strategy no.23):

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

Strategy 24: Long swing trade XLV/XLU

The strategy has three variables for entry and two for exit. It’s a seasonal strategy. Entry is at the open and exit is after 4 or 5 days. Backtested on the ETF that tracks healthcare stocks (XLV).

This strategy was our monthly Trading Edge for September 2022.

Statistics and figures (XLV):

  • No. of trades: 161
  • Average gain per trade: 0.7% (1.82% for winners and -1.24% for losers)
  • Win ratio: 65%
  • Profit factor: 2.7
  • CAGR: 4.5% (assuming no leverage)
  • Exposure/time in the market: 9%
  • Max. drawdown: -6%
  • Risk-adjusted return: 47% (CAGR divided by time spent in the market (0.11))

The equity curve (log scale – XLV):

Order by clicking here (check for strategy no.24):

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

Strategy 25: Long and short swing trade TLT (Long-Term Treasuries)

Both long and short are based on seasonal anomaly strategies. Entry is at the close and exit is after a few days. Backtested on the ETF that tracks bonds (TLT). Commissions of 0.025% each way are included.

This strategy was our monthly Trading Edge for October 2022.

Statistics and figures (TLT):

  • No. of trades: 519
  • Average gain per trade: 0.36%
  • Win ratio: 60%
  • Profit factor: 1.6
  • CAGR: 8.5% (assuming no leverage)
  • Exposure/time in the market: 60%
  • Max. drawdown: -23%

The equity curve (log scale):

Order by clicking here (check for strategy no. 25):

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

Strategy 26: Long overnight trade in DAX (from the close until tomorrow’s open)

This strategy was our monthly Trading Edge for November 2022.

The strategy buys at the close (1730 local time) and sells at the open (0900 local time) the next day.

Statistics and figures (FDAX contract):

  • No. of trades: 302
  • Average gain per trade: 0.23% (0.62% for winners and -0.47% for losers)
  • Win ratio: 65%
  • Profit factor: 2.4
  • CAGR: 3.9% (assuming no leverage)
  • Exposure/time in the market: 6%
  • Max. drawdown: -6%

The equity curve (log scale):

Order by clicking here (check for strategy no. 26):

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

Strategy 27: Long holiday swing trade S&P 500 (SPY)

This strategy was our monthly Trading Edge for December 2022. Backtested on the ETF that tracks S&P 500 (SPY).

Statistics and figures (SPY):

  • No. of trades: 118
  • Average gain per trade: 0.45% (1.% for winners and -0.8% for losers)
  • Win ratio: 70%
  • Profit factor: 2.7
  • CAGR: 1.7% (assuming no leverage)
  • Exposure/time in the market: 2%
  • Max. drawdown: -5%

The equity curve (log scale):

Order by clicking here (check for strategy no. 27):

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

Strategy 28: Long seasonal swing trade German bunds (FGBL)

This strategy was our monthly Trading Edge for January 2023.

Statistics and figures (FGBL contract):

  • No. of trades: 179
  • Average unleveraged gain per trade: 0.36% (0.83% for winners and -0.8% for losers)
  • Win ratio: 71%
  • Profit factor: 2.5
  • CAGR: 2.8% (assuming no leverage)
  • Exposure/time in the market: 15%
  • Max. drawdown: -5%

The equity curve (log scale):

trading strategy for sale

Order by clicking here (check for strategy no. 28):

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

Strategy 29: Long swing trade real estate stocks (VNQ)

This strategy was our monthly Trading Edge for February 2023. Backtested on the ETF that tracks real estate stocks (VNQ). Commissions of 0.03% each way are included.

Statistics and figures (VNQ):

  • No. of trades: 360
  • Average unleveraged gain per trade: 0.81% (2.5% for winners and -1.9% for losers)
  • Win ratio: 61%
  • Profit factor: 2.1
  • CAGR: 15% (assuming no leverage)
  • Exposure/time in the market: 52%
  • Max. drawdown: -33%

The equity curve (log scale):

Order by clicking here (check for strategy no. 29):

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

Strategy 30: Long swing trade Treasury bonds (TLT)

This strategy was our monthly Trading Edge for March 2023. Backtested on the ETF that tracks bonds (TLT).

he strategy has code for Amibroker, Tradestation/Easy Langauge, and TradingView/Pinescript.

Statistics and figures (TLT):

  • No. of trades: 240
  • Average unleveraged gain per trade: 0.44% (1.0% for winners and -1.09% for losers)
  • Win ratio: 73%
  • Profit factor: 2.4
  • CAGR: 4.8% (assuming no leverage)
  • Exposure/time in the market: 13%
  • Max. drawdown: -8%

The equity curve (log scale):

Order by clicking here (check for strategy no. 30):

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

Strategy 31: Long oversold and overnight trade in DAX-40 (FDAX)

This strategy was our monthly Trading Edge for April 2023.

The strategy buys at the close (1730 local time) and sells at the open (0900 local time) the next day.

Statistics and figures (FDAX contract):

  • No. of trades: 202
  • Average unleveraged gain per trade: 0.31% (0.8% for winners and -0.63% for losers)
  • Win ratio: 66%
  • Profit factor: 2.4
  • CAGR: 3.5% (assuming no leverage)
  • Exposure/time in the market: 4.4%
  • Max. drawdown: -4%

The equity curve (log scale):

Trading strategy April 2023

Order by clicking here (check for strategy no. 31):

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

Strategy 32: Long swing trade GLD (gold)

This strategy was our monthly Trading Edge for May 2023. Backtested on the ETF that tracks gold (GLD). Gold is a useful strategy diversifier, but very hard to trade as strategies frequently “break down”.

Statistics and figures (GLD):

  • No. of trades: 168
  • Average unleveraged gain per trade: 0.5% (1.2% for winners and -1.4% for losers)
  • Win ratio: 72%
  • Profit factor: 2.3
  • CAGR: 4.7% (assuming no leverage)
  • Exposure/time in the market: 10%
  • Max. drawdown: -14%

The equity curve (log scale):

Order by clicking here (check for strategy no. 32):

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

Strategy 33: (Bundle 1) S&P 500 Trading Strategies (SPY Bundle)

Please check our separate landing page for strategy bundles. Trading rules in plain English and code for Amibroker, Tradestation/Multicharts, and TradingView. Not eligible for any of the membership strategy selections.

Published spring 2022.

Strategy 34: (Bundle 2) Volatility Trading Strategies (SPY Bundle)

Please check our separate landing page for strategy bundles. Not eligible for any of the membership strategy selections. Published summer 2022. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2022.

Strategy 35: (Bundle 3) Short Selling Strategies (Bundle)

Please check our separate landing page for strategy bundles. Trading rules in plain English and code for Amibroker, Tradestation/Multicharts, and TradingView. Not eligible for any of the membership strategy selections. The strategies are backtested on SPY, SMH, and XLP.

Published spring 2022.

Strategy 36: (Bundle 4) Seasonal Strategies (The Holiday Trading Bundle for S&P 500/SPY)

Please check our separate landing page for strategy bundles. Trading rules and plain English and code for Amibroker. Not eligible for any of the membership strategy selections. Backtested on SPY.

Published autumn 2022.

Strategy 37: (40+) Futures Strategies

Please check our separate landing page for futures trading strategies. Not eligible for any of the membership strategy selections.

Strategy 38: RSI Trading Strategy (S&P 500- SPY)

A short-term trading strategy based on the RSI indicator. Backtested on the ETF that tracks S&P 500 (SPY). Commissions of 0.025% each way are included.

Published first time around 2016/17.

The strategy has code for Amibroker, Tradestation/Easy Langauge, and TradingView/Pinescript.

Statistics and figures (SPY – S&P 500):

  • No. of trades: 359
  • Average unleveraged gain per trade: 0.7% (1.6% for winners and -1.9% for losers)
  • Win ratio: 76%
  • Profit factor: 2.5
  • CAGR: 8.3% (assuming no leverage)
  • Exposure/time in the market: 16%
  • Risk-adjusted return: 49% (CAGR divided by time spent in the market (0.16))
  • Max. drawdown: -23%

The equity curve (log scale):

Order by clicking here (check for strategy no. 38):

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

Strategy 39: Stochastic Indicator Trading Strategy (S&P 500 – SPY)

A short-term trading strategy based on the Stochastic indicator. Backtested on the ETF that tracks S&P 500 (SPY). Commissions of 0.025% each way are included.

Published first time around 2016/17.

The strategy has code for Amibroker, Tradestation/Easy Langauge, and TradingView/Pinescript.

Statistics and figures (SPY – S&P 500):

  • No. of trades: 446
  • Average unleveraged gain per trade: 0.6% (1.4% for winners and -1.8% for losers)
  • Win ratio: 75%
  • Profit factor: 2.4
  • CAGR/annual returns: 8.7% (assuming no leverage)
  • Exposure/time in the market: 20%
  • Risk-adjusted return: 43% (CAGR divided by time spent in the market (0.2))
  • Max. drawdown: -20%

The equity curve (log scale):

Order by clicking here (check for strategy no. 39):

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

Strategy 40: MACD (Histogram) Trading Strategy (Nasdaq 100 – QQQ)

A short-term trading strategy that is based on the MACD indicator. Backtested on the ETF that tracks Nasdaq 100 (QQQ). Commissions of 0.025% each way are included.

Published spring 2023.

The strategy has code for Amibroker, Tradestation/Easy Langauge, and TradingView/Pinescript.

Statistics and figures (QQQ – Nasdaq 100):

  • No. of trades: 115
  • Average unleveraged gain per trade: 1.3% (2.1% for winners and -1.9% for losers)
  • Win ratio: 80%
  • Profit factor: 4.5
  • CAGR: 6% (assuming no leverage)
  • Exposure/time in the market: 6%
  • Risk-adjusted return: 103% (CAGR divided by time spent in the market (0.16))
  • Max. drawdown: -20%

The equity curve (log scale):

Order by clicking here (check for strategy no. 40):

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

Strategy 41: Bollinger Band Trading Strategy (S&P 500 – SPY)

A short-term trading strategy that is based on Bollinger Bands. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2023.

Statistics and figures (SPY – S&P 500):

  • No. of trades: 520
  • Average unleveraged gain per trade: 0.53% (1.3% for winners and -1.8% for losers)
  • Win ratio: 75%
  • Profit factor: 2.1
  • CAGR: 8.9% (assuming no leverage)
  • Exposure/time in the market: 24%
  • Risk-adjusted return: 36% (CAGR divided by time spent in the market (0.16))
  • Max. drawdown: -23%

The equity curve (log scale):

Order by clicking here (check for strategy no. 41):

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

Strategy 42: 3 Trend following Strategies (S&P 500/SPY Bundle)

The three strategies have different trading rules for entry but the same rules for exit. Backtested on the ETF that tracks S&P 500 (SPY).

Published 2021/2022.

Statistics and figures (S&P 500):

  • No. of trades: 22
  • Average unleveraged gain per trade: 30.5% (42.4% for winners and -9.2% for losers)
  • Win ratio: 77%
  • Profit factor: 9
  • CAGR: 7.4% vs 7.2% for Buy&Hold (assuming no leverage and no reinvested dividends – cash index)
  • Exposure/time in the market: 81%
  • Risk-adjusted return: 9.1% (CAGR divided by time spent in the market (0.81))
  • Max. drawdown: -35%

The equity curve when all 3 strategies are traded as a portfolio of strategies (log scale):

Order by clicking here (check for strategy no. 42):

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

Strategy 43: 3 Swing Trading Strategies (QQQ Bundle)

The strategies trade from the long side. Backtested on the ETF that tracks Nasdaq 100 (QQQ).

The bundle is not eligible for any of the membership strategy selections.

Published early 2023.

Statistics and figures (S&P 500 – (even better for QQQ)):

  • No. of trades: 597
  • Average unleveraged gain per trade: 0.62% (1.3% for winners and -1.5% for losers)
  • Win ratio: 75%
  • Profit factor: 2.7
  • CAGR: 12.1% (assuming no leverage)
  • Exposure/time in the market: 28%
  • Risk-adjusted return: 44% (CAGR divided by time spent in the market (0.28))
  • Max. drawdown: -23%

The equity curve when all three strategies are traded as a portfolio of strategies (log scale):

Annual returns:

Order by clicking here (check for strategy no. 43):

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

Strategy 44: MACD Indicator Trading Strategy (Nasdaq 100 – QQQ)

The strategy uses the MACD indicator in a rather creative way. The strategy is presented as strategy #3 in our MACD strategy video. Backtested on the ETF that tracks Nasdaq 100 (QQQ).

Published spring 2023 (old strategy first mentioned on this blog in 2015).

The strategy has code for Amibroker, Tradestation/Easy Langauge, and TradingView/Pinescript.

Statistics and figures (Nasdaq- 100 – QQQ):

  • No. of trades: 165
  • Average unleveraged gain per trade: 1.1% (1.8% for winners and -1.5% for losers)
  • Win ratio: 80%
  • Profit factor: 4
  • CAGR: 7.9% (assuming no leverage)
  • Exposure/time in the market: 8%
  • Risk-adjusted return: 94% (CAGR divided by time spent in the market (0.08))
  • Max. drawdown: -11%

The equity curve (log scale):

Order by clicking here (check for strategy no. 44):

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

Strategy 45: Heikin Ashi Trading Strategy (S&P 500 – SPY)

The Heikin Ashi strategy uses monthly bars and is thus a long-term trend-following strategy. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2023.

Statistics and figures (S&P 500):

  • No. of trades: 83
  • Average unleveraged gain per trade: 4.3% (13.0% for winners and -4.4% for losers)
  • Win ratio: 50%
  • Profit factor: 3.1
  • CAGR: 4.4% (assuming no leverage and no dividends)
  • Exposure/time in the market: 66%
  • Risk-adjusted return: 7.2% (CAGR divided by time spent in the market (0.66))
  • Max. drawdown: -29%

The equity curve (log scale):

Order by clicking here (check for strategy no. 45):

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

Strategy 46: LL & LH (Lower Lows & Lower Highs) Trading Strategy (S&P 500 – SPY)

A mean reversion strategy. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2022.

Statistics and figures (S&P 500 – SPY):

  • No. of trades: 250
  • Average unleveraged gain per trade: 0.71% (1.5% for winners and -2.2% for losers)
  • Win ratio: 78%
  • Profit factor: 2.4
  • CAGR: 5.6% (assuming no leverage and no dividends)
  • Exposure/time in the market: 10%
  • Risk-adjusted return: 52% (CAGR divided by time spent in the market (0.10))
  • Max. drawdown: -19%

The equity curve (log scale):

Order by clicking here (check for strategy no. 46):

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

Strategy 47: Combining long and short strategies

Not eligible for any of the membership strategy selections.

This product offers a steep discount for two bundles: Strategy Bundle 1 (long strategies) and Strategy Bundle 3 (short strategies). Below are the performance metrics of combining both bundles for the following backtested assets:

Statistics and figures (S&P 500, (SPY/@ES), Consumer staples (XLP), and Semiconductors (SMH)):

  • No. of trades: 589 (from 2005)
  • Average unleveraged gain per trade: 0.63% (1.4% for winners and -1.6% for losers)
  • Win ratio: 72%
  • Profit factor: 1.9
  • CAGR: 19% (assuming no leverage and no dividends)
  • Exposure/time in the market: 37%
  • Risk-adjusted return: 53% (CAGR divided by time spent in the market (0.37))
  • Max. drawdown: -23%

The equity curve (log scale):

Order by clicking here (check for strategy no. 47):

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

Strategy 48: Bitcoin Trading Strategy (3 Strategies In One Bundle)

The three strategies are diverse: One strategy is a mean reversion strategy, a seasonal trade, and a momentum strategy.

PS! Bitcoin trades around the clock, and thus, settings might influence the results, not to mention commissions, which are hard to predict. Bitcoin has historically suffered VERY deep drawdowns (also this backtest). Very few can stomach that.

Published in 2021 and 2022.

Statistics and figures (All 3 strategies as one portfolio of strategies):

  • No. of trades: 183 (from 2015)
  • Average unleveraged gain per trade: 5.4% (13.5% for winners and -4% for losers)
  • Win ratio: 53%
  • Profit factor: 1.9
  • CAGR: 118% (assuming no leverage and no dividends)
  • Exposure/time in the market: 62%
  • Risk-adjusted return: 191% (CAGR divided by time spent in the market (0.62))
  • Max. drawdown: -56% (!!!)

The equity curve (log scale – all 3 strategies as one portfolio of strategies – 10,000 compounded):

Order by clicking here (check for strategy no. 48):

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

Strategy 49: Buy the dip Trading Strategy (S&P 500 – SPY)

Mean reversion based on bullish long term trends and pullbacks. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2023.

Statistics and figures (S&P 500 – SPY):

  • No. of trades: 253
  • Average unleveraged gain per trade: 0.62% (1.3% for winners and -1.5% for losers)
  • Win ratio: 76%
  • Profit factor: 2.4
  • CAGR: 5.1% (assuming no leverage and no dividends)
  • Exposure/time in the market: 12%
  • Risk-adjusted return: 42% (CAGR divided by time spent in the market (0.12))
  • Max. drawdown: -14%

The equity curve (log scale):

Order by clicking here (check for strategy no. 49):

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

Strategy 50: Super indicator Trading Strategy (S&P 500 – SPY)

The SuperTrend Indicator is a weekly trend-following strategy (meaning weekly bars). We have the trading rules in plain English and code for Amibroker (no code for Tradestation/Easy Langauge). Backtested on the ETF that tracks S&P 500 (SPY).

Published late 2022.

Statistics and figures (S&P 500):

  • No. of trades: 39
  • Average unleveraged gain per trade: 10.8% (18.4% for winners and -4.2% for losers)
  • Win ratio: 66%
  • Profit factor: 4
  • CAGR: 5.9% (assuming no leverage and no dividends)
  • Exposure/time in the market: 62%
  • Risk-adjusted return: 9.5% (CAGR divided by time spent in the market (0.62))
  • Max. drawdown: -24%

The equity curve (log scale):

Order by clicking here (check for strategy no. 50):

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

Strategy 51: Money Flow Index Trading Strategy (S&P 500 – SPY)

The money flow index (MFI) is a momentum indicator that measures the flow of money into and out of a security over a specified period of time by combining price and volume data. It oscillates between 0 and 100 and shows overbought and oversold conditions in the market. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2023.

Performance metrics (S&P 500):

  • No. of trades: 786
  • Average unleveraged gain per trade: 0.41% (1.2% for winners and -1.7% for losers)
  • Win ratio: 72%
  • Profit factor: 1.7
  • CAGR: 10.5% (assuming no leverage and no dividends)
  • Exposure/time in the market: 35%
  • Risk-adjusted return: 30% (CAGR divided by time spent in the market (0.35))
  • Max. drawdown: -23%

The equity curve (log scale):

Order by clicking here (check for strategy no. 51):

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

Strategy 52: Momentum Trading Strategy (S&P 500 – SPY)

The momentum strategy has flexible rules that make it useful for stocks and crypto. The equity curve below is based on S&P 500.

Published autumn 2022.

Performance metrics (S&P 500):

  • No. of trades: 43
  • Average unleveraged gain per trade: 9.7% (17.1% for winners and -5% for losers)
  • Win ratio: 66%
  • Profit factor: 7
  • CAGR: 5.8% (assuming no leverage and no dividends)
  • Exposure/time in the market: 65%
  • Risk-adjusted return: 8.8% (CAGR divided by time spent in the market (0.66))
  • Max. drawdown: -25%

The equity curve (log scale):

Order by clicking here (check for strategy no. 52):

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

Strategy 53: Short-Term Pullback Strategy For S&P 500 (SPY)

A strategy that tries to capture a pullback from new highs. Commissions and slippage of 0.025% are included for each trade.

This was our trading edge for March 2024.

Performance metrics (SPY):

  • No. of trades: 252
  • Average unleveraged gain per trade: 0.55% (1.2% for winners and -1.2% for losers)
  • Win ratio: 73%
  • Profit factor: 2.5
  • CAGR: 4.3% (assuming no leverage and no dividends)
  • Exposure/time in the market: 11%
  • Risk-adjusted return: 38% (CAGR divided by time spent in the market (0.11))
  • Max. drawdown: -12%

The equity curve (log scale):

Order by clicking here (check for strategy no. 53):

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

Strategy 54: 6 Larry Connors Trading Strategies (S&P 500 – SPY)

We compiled 6 Larry Connors strategies into one product for the price of one strategy. We added a variable. Backtested on the ETF that tracks S&P 500 (SPY).

Published in autumn 2021.

Once you have paid, you can download the 6 strategies on this link.

Strategy 55: IBS Trading Strategy (S&P 500 – SPY)

The strategy is based on the IBS indicator. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2023 (but previously published in 2016/17).

Performance metrics (S&P 500):

  • No. of trades: 631
  • Average unleveraged gain per trade: 0.55% (1.36% for winners – minus 1.51% for losing trades)
  • Win ratio: 71%
  • Profit factor: 2.2
  • CAGR: 11.2% (assuming no leverage and no dividends – 1.5% better than Buy & Hold)
  • Exposure/time in the market: 25%
  • Risk-adjusted return: 44% (CAGR divided by time spent in the market (0.25))
  • Max. drawdown: -18% (Buy & Hold 55%)

The equity curve (log scale):

Order by clicking here (check for strategy no. 55):

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

Strategy 56: Coming

Strategy 57: Coppock Trading Strategy (S&P 500/SPY)

The Coppock Curve was developed in the 1950s and is a trend-following strategy. It has historically worked for stocks and the gold price. Backtested on the ETF that tracks S&P 500 (SPY).

Published early 2023.

Performance metrics (S&P 500):

  • No. of trades: 12
  • Average unleveraged gain per trade: 45.1% (45.1% for winners – no losing trade)
  • Win ratio: 100%
  • Profit factor: NA
  • CAGR: 6.1% (assuming no leverage and no dividends – slightly below Buy & Hold)
  • Exposure/time in the market: 73%
  • Risk-adjusted return: 8.3% (CAGR divided by time spent in the market (0.73))
  • Max. drawdown: -30% (Buy & Hold 55%)

The equity curve (log scale):

Order by clicking here (check for strategy no. 57):

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

Strategy 58: 200-Day Moving Average Trading Strategy (S&P 500/SPY)

We made a small twist to the 200-day moving average strategy. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2023.

Performance metrics (S&P 500):

  • No. of trades: 81
  • Average unleveraged gain per trade: 5.9% (14% for winners and -2.7% for losers)
  • Win ratio: 50%
  • Profit factor: 2.9
  • CAGR: 6.67% (assuming no leverage and no dividends – same return as Buy & Hold)
  • Exposure/time in the market: 69%
  • Risk-adjusted return: 19.6% (CAGR divided by time spent in the market (0.7))
  • Max. drawdown: -22% (Buy & Hold 55%)

The equity curve (log scale):

Order by clicking here (check for strategy no. 58):

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

Strategy 59: Triple RSI Trading Strategy (S&P 500 – SPY)

The strategy uses three different RSI variables plus a trend filter. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2023.

Performance metrics (SPY – S&P 500):

  • No. of trades: 95
  • Average unleveraged gain per trade: 1.3% (1.7% for winners and -1.7% for losers)
  • Win ratio: 90%
  • Profit factor: 8
  • CAGR: 4.1% (assuming no leverage)
  • Exposure/time in the market: 5%
  • Risk-adjusted return: 76% (CAGR divided by time spent in the market (0.05))
  • Max. drawdown: -13%

The equity curve (log scale):

Order by clicking here (check for strategy no. 59):

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

Strategy 60: Coming

Strategy 61: Rubber band Trading Strategy (Nasdaq 100 – QQQ)

Based on fast and volatile markets. Backtested on the ETF that tracks Nasdaq 100 (QQQ).

Published first time in 2016/2017.

Performance metrics (Nasdaq 100 – QQQ):

  • No. of trades: 285
  • Average unleveraged gain per trade: 0.9% (2.3% for winners and -2.5% for losers)
  • Win ratio: 70%
  • Profit factor: 1.8
  • CAGR: 10.7% (assuming no leverage)
  • Exposure/time in the market: 18%
  • Risk-adjusted return: 59% (CAGR divided by time spent in the market (0.18))
  • Max. drawdown: -23%

The equity curve (log scale):

Order by clicking here (check for strategy no. 61):

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

Strategy 62: Golden Cross Trading Strategy (S&P 500/SPY)

The Golden Cross indicator is a trend-following that has worked (historically) on many assets. Backtested on the ETF that tracks S&P 500 (SPY).

Published summer 2022.

Performance metrics (S&P 500):

  • No. of trades: 33
  • Average unleveraged gain per trade: 15% (21.2% for winners and -4.8% for losers)
  • Win ratio: 77%
  • Profit factor: 8
  • CAGR: 6.8% (assuming no leverage and no dividends)
  • Exposure/time in the market: 69%
  • Risk-adjusted return: 9.5% (CAGR divided by time spent in the market (0.69))
  • Max. drawdown: -33%

The equity curve (log scale):

Order by clicking here (check for strategy no. 62):

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

Strategy 63: Chopiness Strategy for S&P 500

The strategy is partially based on the Choppiness Index – an index that determines if the market is choppy or trending.

(Previously, we had a momentum strategy for stocks, gold, and bonds as #63, but it has not performed well for 8 years.)

This was our monthly trading edge for June 2024.

Performance metrics:

  • No. of trades: 198
  • Average unleveraged gain per trade: 1% (1.8% for winners and -2% for losers)
  • Win ratio: 78%
  • Profit factor: 2.7
  • CAGR: 6.2% (assuming no leverage)
  • Exposure/time in the market: 7%
  • Risk-adjusted return: 84% (CAGR divided by time spent in the market (0.07))
  • Max. drawdown: -11%

The equity curve (log scale):

Order by clicking here (check for strategy no. 63):

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

Strategy 64: Monthly momentum strategy in gold, bonds, and stocks

The strategy rotates between three assets (SPY, GLD, and TLT). Rules are in plain English and Amibroker (no TradeStation code). However, our experience is that rotation strategies frequently break apart.

Published spring 2018.

Performance metrics:

  • No. of trades: 454
  • Average unleveraged gain per trade: 0.75% (3.6% for winners and -3% for losers)
  • Win ratio: 56%
  • Profit factor: 1.4
  • CAGR: 8% (assuming no leverage)
  • Exposure/time in the market: 99%
  • Risk-adjusted return: 8% (CAGR divided by time spent in the market (0.99))
  • Max. drawdown: -19%

The equity curve (log scale):

Order by clicking here (check for strategy no. 64):

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

Strategy 65: Last Trading Day Of The Month Trading Strategy S&P 500 (SPY)

The strategy uses a seasonal effect in stocks and enters on the last day of the month. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2023.

Performance metrics (S&P 500 – SPY):

  • No. of trades: 196
  • Average unleveraged gain per trade: 0.69% (1.3% for winners and -1.6% for losers)
  • Win ratio: 78%
  • Profit factor: 3.1
  • CAGR: 4.3% (assuming no leverage)
  • Exposure/time in the market: 7%
  • Risk-adjusted return: 57% (CAGR divided by time spent in the market (0.07))
  • Max. drawdown: -13%

The equity curve (log scale):

Order by clicking here (check for strategy no. 65):

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

Strategy 66: Russell 2000 rebalancing strategy (IWM)

The strategy trades the Russell 2000 index (futures or ETF (IWM)), an annual seasonal trade.

Published summer 2021.

Performance metrics (^RUT – Russell 2000):

  • No. of trades: 34
  • Average unleveraged gain per trade: 1.35% (2.3% for winners and -1.8% for losers)
  • Win ratio: 76%
  • Profit factor: 4.1
  • CAGR: 1.3% (assuming no leverage)
  • Exposure/time in the market: 2%
  • Risk-adjusted return: 66% (CAGR divided by time spent in the market (0.02))
  • Max. drawdown: -6%

The equity curve (log scale):

Order by clicking here (check for strategy no. 66):

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

Strategy 67: ADX Trading Strategy (Nasdaq 100 – QQQ)

The ADX is a trend indicator that usually needs a helping variable. We made an ADX strategy with another variable. Backtested on the ETF that tracks Nasdaq 100 (QQQ). Commissions of 0.025% each way are included.

Published spring 2023.

Performance metrics (QQQ – Nasdaq 100):

  • No. of trades: 330
  • Average unleveraged gain per trade: 0.88% (1.7% for winners and -2.2% for losers)
  • Win ratio: 79%
  • Profit factor: 2.2
  • CAGR: 11.8% (assuming no leverage)
  • Exposure/time in the market: 17%
  • Risk-adjusted return: 72% (CAGR divided by time spent in the market (0.17))
  • Max. drawdown: -21%

The equity curve (log scale):

Order by clicking here (check for strategy no. 67):

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

Strategy 68: Candlesticks Trading Strategies (Bundle -S&P 500 – SPY)

We have made a candlestick course available for both Amibroker and Tradestation/Easy Language users. Backtested on the ETF that tracks S&P 500 (SPY).

  • 100% quantified, data-driven, and backtested with specific trading rules;
  • Choose the best pattern with our ranking methods based on past performance;
  • All patterns have Amibroker or Tradestation/Easy Language code.

Please click on the image below to read more or order:

Strategy 69: Monthly (Or Weekly) Sector Rotation Trading Strategy

This is a sector rotation strategy in S&P 500 (SPY), international stocks ex. USA (EFA), gold (GLD), and bonds (TLT). It trades weekly or monthly (Fridays or the end of month). Trading rules are in plain English and Amibroker. However, our experience is that rotation strategies frequently break apart.

Published spring 2023.

Performance metrics (monthly):

  • No. of trades: 172
  • Average unleveraged gain per trade: 1.4% (4.1% for winners and -3.4% for losers)
  • Win ratio: 63%
  • Profit factor: 2.1%
  • CAGR: 12.1% (assuming no leverage and not including dividends)
  • Exposure/time in the market: 100%
  • Risk-adjusted return: 12.1% (CAGR divided by time spent in the market (1))
  • Max. drawdown: -21%

The equity curve (log scale):

Order by clicking here (check for strategy no. 69):

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

Strategy 70: Bollinger Bands + RSI Trading Strategy (SMH – semiconductors)

The strategy below trades BOTH long and short. Backtested on the ETF that tracks Semiconductors (SMH). Commissions of 0.025% each way are included.

Published spring 2023.

Performance metrics (Semiconductors (SMH)):

  • No. of trades: 308
  • Average unleveraged gain per trade: 0.71% (2% for winners and -2.2% for losers)
  • Win ratio: 69%
  • Profit factor: 1.9%
  • CAGR: 9.3% (assuming no leverage and not including dividends)
  • Exposure/time in the market: 16%
  • Risk-adjusted return: 58% (CAGR divided by time spent in the market (0.16))
  • Max. drawdown: -13%

The equity curve (log scale):

Order by clicking here (check for strategy no. 70):

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

Strategy 71: MACD + RSI Trading Strategy (XLP – consumer staples)

We combined both indicators to make a swing strategy that lasted a few days. Backtested on the ETF that tracks Consumer staples (XLP).

Published spring 2023.

Performance metrics (Consumer staples- XLP):

  • No. of trades: 183
  • Average unleveraged gain per trade: 0.55% (1.3% for winners and -2.1% for losers)
  • Win ratio: 78%
  • Profit factor: 2.3%
  • CAGR: 4.1% (assuming no leverage but including dividends)
  • Exposure/time in the market: 17%
  • Risk-adjusted return: 24% (CAGR divided by time spent in the market (0.17))
  • Max. drawdown: -15%

The equity curve (log scale):

Order by clicking here (check for strategy no. 71):

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

Strategy 72: ADX + RSI Trading Strategy (Nasdaq 100 – QQQ)

Backtested on the ETF that tracks Nasdaq 100 (QQQ).

Published spring 2023.

Performance metrics (Nasdaq 100 – QQQ):

  • No. of trades: 252
  • Average unleveraged gain per trade: 1.1% (2.3% for winners and -2.3% for losers)
  • Win ratio: 74%
  • Profit factor: 2.4%
  • CAGR: 11.2% (assuming no leverage and not including dividends)
  • Exposure/time in the market: 15%
  • Risk-adjusted return: 75% (CAGR divided by time spent in the market (0.15))
  • Max. drawdown: -22%

The equity curve (log scale):

Order by clicking here (check for strategy no. 72):

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

Strategy 73: Coming

Strategy 74: Coming

Strategy 75: 3 VIX Trading Strategies (Bundle – Nasdaq 100 – QQQ)

Trading rules in plain English and code for Amibroker and Tradestation/Multicharts. Not eligible for any of the membership strategy selections. The bundle uses the VIX indicator to trade stocks (bonds with some modifications). Backtested on the ETF that tracks Nasdaq 100 (QQQ).

Published summer 2023.

Performance metrics (Nasdaq 100 – QQQ – as one portfolio of strategies):

  • No. of trades: 491
  • Average unleveraged gain per trade: 0.78% (1.9% for winners and -2.5% for losers)
  • Win ratio: 75%
  • Profit factor: 2.0
  • CAGR: 15.4% (assuming no leverage but including dividends)
  • Exposure/time in the market: 30%
  • Risk-adjusted return: 52% (CAGR divided by time spent in the market (0.3))
  • Max. drawdown: -25%

The equity curve (log scale):

Order by clicking here (check for strategy no. 75):

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

Strategy 76: DMI Trading Strategies (S&P 500 – SPY)

The DMI is part of the ADX indicator. The strategy combines DMI with a trend and mean reversion filter. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2023.

Performance metrics (S&P 500 – SPY):

  • No. of trades: 360
  • Average unleveraged gain per trade: 0.5% (1.1% for winners and -1.5% for losers)
  • Win ratio: 74%
  • Profit factor: 2.1
  • CAGR: 5.7% (assuming no leverage but including dividends)
  • Exposure/time in the market: 15%
  • Risk-adjusted return: 37% (CAGR divided by time spent in the market (0.15))
  • Max. drawdown: -13%

The equity curve (log scale):

Order by clicking here (check for strategy no. 76):

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

Strategy 77: Value Vs. Growth Rotation Strategy

The strategy is based on weekly bars and rotates between value and growth stocks (ETFs). Long only. Trading signals are on Friday close or the nearest trading day to Friday. Please keep in mind that rotation strategies tend to “break down” after a while.

Published spring 2023.

Performance metrics (IWF and IWD):

  • No. of trades: 288
  • Average unleveraged gain per trade: 0.9% (3.4% for winners and -3.3% for losers)
  • Win ratio: 62%
  • Profit factor: 2.4
  • CAGR: 10.3% (assuming no leverage but including dividends)
  • Exposure/time in the market: 69%
  • Risk-adjusted return: 10.3% (CAGR divided by time spent in the market (0.99))
  • Max. drawdown: -34%

The equity curve (log scale):

Order by clicking here (check for strategy no. 77):

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

Strategy 78: Day Trading Strategy S&P 500 (SPY)

The strategy is backtested on stocks and related indices, futures, and ETFs. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2023.

Performance metrics (S&P 500 – SPY):

  • No. of trades: 166
  • Average unleveraged gain per trade: 0.5% (1.7% for winners and -1.25% for losers)
  • Win ratio: 60%
  • Profit factor: 1.9
  • CAGR: 2.7% (assuming no leverage but including dividends)
  • Exposure/time in the market: 2%
  • Risk-adjusted return: 127% (CAGR divided by time spent in the market (0.02))
  • Max. drawdown: -9%

The equity curve (log scale):

rder by clicking here (check for strategy no. 78):

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

Strategy 79: Short Strategy For Russell 2000 (IWM)

Backtested on the ETF that tracks Russell 2000 (IWM). The strategy is a short strategy.

We previously had the Qstick Indicator strategy here but removed it due to little interest.

This was our monthly trading edge for April 2024.

Performance metrics (Russell 2000 – IWM):

  • No. of trades: 155
  • Average unleveraged gain per trade: 0.66% (1.5% for winners and -1% for losers)
  • Win ratio: 65%
  • Profit factor: 2.5
  • CAGR: 4.2% (assuming no leverage but including dividends)
  • Exposure/time in the market: 4%
  • Risk-adjusted return: 104% (CAGR divided by time spent in the market (0.02))
  • Max. drawdown: -9%

The equity curve (log scale):

Order by clicking here (check for strategy no. 79):

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

Strategy 80: End-of-Month Strategy S&P 500 (SPY)

The backtest is based on the statistical end-of-month bias in the stock market. Backtested on the ETF that tracks S&P 500 (SPY).

This was our Monthy Trading Edge for June 2023 (for Gold Members).

Performance metrics (SPY):

  • No. of trades: 627
  • Average unleveraged gain per trade: 0.45% (1.1% for winners and -1.6% for losers)
  • Win ratio: 75%
  • Profit factor: 2.2
  • CAGR: 8.9% (assuming no leverage and not including dividends)
  • Exposure/time in the market: 27%
  • Risk-adjusted return: 32% (CAGR divided by time spent in the market (0.27))
  • Max. drawdown: -28%

The equity curve (log scale):

Order by clicking here (check for strategy no. 80):

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

Strategy 81: Turnaround Tuesday Strategy (S&P 500 – SPY)

The backtest is based on The Turnaround Tuesday bias. Backtested on the ETF that tracks S&P 500 (SPY).

Published 2016/17.

Performance metrics (SPY):

  • No. of trades: 384
  • Average unleveraged gain per trade: 0.81% (1.5% for winners and -1.7% for losers)
  • Win ratio: 77%
  • Profit factor: 2.9
  • CAGR: 10.1% (assuming no leverage and not including dividends)
  • Exposure/time in the market: 16%
  • Risk-adjusted return: 61% (CAGR divided by time spent in the market (0.16))
  • Max. drawdown: -23%

The equity curve (log scale):

Order by clicking here (check for strategy no. 81):

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

Strategy 82: Turn of the Month Strategy (S&P 500 – SPY)

The backtest is based on the turn-of-the-month bias. Backtested on the ETF that tracks S&P 500 (SPY).

This strategy was our monthly Trading Edge for September 2023 (but published first in 2016/17).

Performance metrics (S&P 500 cash index since 1960):

  • No. of trades: 643
  • Average unleveraged gain per trade: 0.72% (2.1% for winners and -1.8% for losers)
  • Win ratio: 63%
  • Profit factor: 2.2
  • CAGR: 7.1% (assuming no leverage and not including dividends)
  • Exposure/time in the market: 24%
  • Risk-adjusted return: 29% (CAGR divided by time spent in the market (0.24))
  • Max. drawdown: -28%

The equity curve (log scale):

Order by clicking here (check for strategy no. 82):

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

Strategy 83: Ultimate Oscillator Strategy (SMH)

We backtested it in most settings for stocks (S&P 500) and bonds (TLT).

Published spring 2023.

Performance metrics (for SMH – an ETF that tracks semiconductors):

  • No. of trades: 302
  • Average unleveraged gain per trade: 0.9% (2.7% for winners and -3.5% for losers)
  • Win ratio: 70%
  • Profit factor: 2.2
  • CAGR: 11.2% (assuming no leverage and not including dividends)
  • Exposure/time in the market: 20%
  • Risk-adjusted return: 55% (CAGR divided by time spent in the market (0.19))
  • Max. drawdown: -46% (!)

The equity curve (log scale):

Order by clicking here (check for strategy no. 83):

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

Strategy 84: Double Seven Trading Strategy (S&P 500 – SPY)

Larry Connors’ Double Seven Strategy inspires the strategy, but we have changed the parameters. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2023.

Performance metrics (for S&P 500 – SPY):

  • No. of trades: 361
  • Average unleveraged gain per trade: 0.65% (1.3% for winners and -1.8% for losers)
  • Win ratio: 79%
  • Profit factor: 2.4
  • CAGR: 7.5% (assuming no leverage and including dividends)
  • Exposure/time in the market: 28%
  • Risk-adjusted return: 27% (CAGR divided by time spent in the market (0.26))
  • Max. drawdown: -14%

The equity curve (log scale):

Order by clicking here (check for strategy no. 84):

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

Strategy 85: Overnight Strategy for Russell 2000 (IWM)

The strategy enters at the close and sells at the open the next day, thus holding for less than 24 hours.

This was Trading Edge for February 2024.

Performance metrics (Russell 2000 – IWM):

  • No. of trades: 149
  • Average unleveraged gain per trade: 0.37% (0.6% for winners and -0.35% for losers)
  • Win ratio: 77%
  • Profit factor: 5.0
  • CAGR: 2.3% (assuming no leverage and including dividends)
  • Exposure/time in the market: 2.5%
  • Risk-adjusted return: 93% (CAGR divided by time spent in the market (0.025))
  • Max. drawdown: -2%

The equity curve since inception (log scale):

Order by clicking here (check for strategy no. 85):

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

Strategy 86: Coming

Strategy 87: Example Of Combining A Trend Following And Mean Reversion Strategy (Nasdaq 100 – QQQ)

The only Holy Grail in trading is to trade strategies that complement each other. One way is trading two different types of strategies; in this example, we use trend following and mean reversion. Backtested on the ETF that tracks Nasdaq 100 (QQQ).

Published spring 2023.

Performance metrics (for Nasdaq 100 – QQQ):

  • No. of trades: 100
  • Average unleveraged gain per trade: 4.2% (7.7% for winners and -3.4% for losers)
  • Win ratio: 68%
  • Profit factor: 3
  • CAGR: 15.1% (assuming no leverage and including dividends)
  • Exposure/time in the market: 71%
  • Risk-adjusted return: 21% (CAGR divided by time spent in the market (0.71))
  • Max. drawdown: -33%

The equity curve (log scale):

Order by clicking here (check for strategy no. 87):

sale trading strategies

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

Strategy 88: Example Of Combining Seasonal Effects In S&P 500 and Bonds

The only Holy Grail in trading is to trade strategies that complement each other. This example combines two seasonal effects in bonds and stocks that have existed for decades and that we covered many years ago.

Published spring 2023.

Performance metrics (for SPY and TLT):

  • No. of trades: 665
  • Average unleveraged gain per trade: 0.49% (1.8% for winners and -1.7% for losers)
  • Win ratio: 62%
  • Profit factor: 1.7
  • CAGR: 7.1% (assuming no leverage and including dividends)
  • Exposure/time in the market: 40%
  • Risk-adjusted return: 18% (CAGR divided by time spent in the market (0.43))
  • Max. drawdown: -11%

The equity curve (log scale):

Order by clicking here (check for strategy no. 88):

trading strategies for sale

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

Strategy 89: First Trading Day Of The Month Trading Strategy for S&P 500 (SPY)

The strategy takes advantage of a historical and statistically strong seasonal effect/anomaly in the stock market: the first trading day of the month. Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2023.

Performance metrics (S&P 500 – SPY):

  • No. of trades: 62
  • Average unleveraged gain per trade: 1.1% (1.5% for winners and -0.73% for losers)
  • Win ratio: 80%
  • Profit factor: 9
  • CAGR: 2.1% (assuming no leverage and including dividends)
  • Exposure/time in the market: 2%
  • Risk-adjusted return: 90% (CAGR divided by time spent in the market (0.02))
  • Max. drawdown: -6%

The equity curve (log scale):

Order by clicking here (check for strategy no. 89):

trading strategies for sale

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

Strategy 90: Example Of Combining A Trend Following And Mean Reversion Strategy for S&P 500 (SPY)

We mix an example of a long-term trend-following strategy with a short-term mean reversion strategy. The strategy trades at the close (but the result is slightly better if entries and exits are at the next open). Backtested on the ETF that tracks S&P 500 (SPY).

Published spring 2023.

Performance metrics (S&P 500 – SPY):

  • No. of trades: 253
  • Average unleveraged gain per trade: 1.7% (4.6% for winners and -1.4% for losers)
  • Win ratio: 51%
  • Profit factor: 3.2
  • CAGR: 12.1% (assuming no leverage and including dividends)
  • Exposure/time in the market: 79%
  • Risk-adjusted return: 15% (CAGR divided by time spent in the market (0.79))
  • Max. drawdown: -21%

The equity curve (log scale):

Order by clicking here (check for strategy no. 90):

trading strategies for sale

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

Strategy 91: Day Of Week Effect On Stocks (Nasdaq 100 – QQQ)

We mix price action and a day-of-week effect to create an example of a potential short-term trading strategy. Backtested on the ETF that tracks Nasdaq 100 (QQQ). Commissions of 0.025% each way are included.

Published spring 2023.

Performance metrics (Nasdaq 100 – QQQ):

  • No. of trades: 446
  • Average unleveraged gain per trade: 0.8% (2% for winners and -2.7% for losers)
  • Win ratio: 76%
  • Profit factor: 2.7
  • CAGR: 15% (assuming no leverage and including dividends)
  • Exposure/time in the market: 25%
  • Risk-adjusted return: 58% (CAGR divided by time spent in the market (0.25))
  • Max. drawdown: -28%

The equity curve (log scale):

Order by clicking here (check for strategy no. 91):

trading strategies for sale

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

Strategy 92: Short (Tail Risk) Trading Strategy for QQQ

This short strategy trades infrequently but has historically performed well for volatile stock indices when volatility is high, but is bleeding during bull markets. Shorting is difficult! We offer the strategy in Amibroker, Tradestation/Easy Language, and TradingView/Pinescript code. Backtested on the ETF that tracks NASDAQ 100 (QQQ).

This was our Monthy Trading Edge for July 2023 (for Gold Members).

Performance metrics (Nasdaq 100 – QQQ):

  • No. of trades: 154
  • Average unleveraged gain per trade: 1.15% (3.1% for winners and -2.8% for losers)
  • Win ratio: 67%
  • Profit factor: 2
  • CAGR: 7.2% (assuming no leverage and including dividends)
  • Exposure/time in the market: 10%
  • Risk-adjusted return: 72% (CAGR divided by time spent in the market (0.1))
  • Max. drawdown: -26%

The equity curve (log scale):

Order by clicking here (check for strategy no. 92):

trading strategies for sale

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

Strategy 93: Short Trading Strategy In Bonds (TLT)

The strategy enters at the open and exits at the close, but not on the same day. There are three variables for entry and one for exit. This is a short strategy. We offer the strategy in Amibroker, Tradestation/Easy Language, and TradingView/Pinescript code.

This was our Monthy Trading Edge for August 2023 (for Gold Members).

Performance metrics (bonds – TLT):

  • No. of trades: 187
  • Average unleveraged gain per trade: 0.35% (1.2% for winners and -1.05% for losers)
  • Win ratio: 62%
  • Profit factor: 1.9
  • CAGR: 3.4% (assuming no leverage and including dividends)
  • Exposure/time in the market: 10%
  • Risk-adjusted return: 27% (CAGR divided by time spent in the market (0.1))
  • Max. drawdown: -10%

The equity curve (log scale):

Order by clicking here (check for strategy no. 93):

trading strategies for sale

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

Strategy 94: Coming soon

About to be updated later.

Strategy 95: 24-hour (Overnight) Strategy SPY/QQQ

The strategy enters at the close and exits at the close the day after, thus holding it for 24 hours (one trading day). There are two variables for entry. This is a long strategy. Backtested on the ETF that tracks S&P 500 (SPY). Commissions and slippage of 0.025% each way are included.

This was our Monthy Trading Edge for October 2023 (for Gold and Platinum Members).

Performance metrics (SPY):

  • No. of trades: 395
  • Average unleveraged gain per trade: 0.44% (1.1% for winners and -0.8% for losers)
  • Win ratio: 63%
  • Profit factor: 2.2
  • CAGR: 5.5% (assuming no leverage and including dividends)
  • Exposure/time in the market: 5%
  • Risk-adjusted return: 109% (CAGR divided by time spent in the market (0.05))
  • Max. drawdown: -7% (significantly less for SPY)

The equity curve (log scale):

Order by clicking here (check for strategy no. 95):

trading strategies for sale

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

Disclaimer (trading strategies for sale)

Quantified Strategies (SIA Lofjord) is not an investment advisor. The content and information provided are educational and should not be treated as financial advisory services or investment advice. Trading and investment in securities involve substantial risk of loss and is not recommended for anyone that is not a trained trader or investor – it shall be conducted at your own risk. It is recommended that you never risk more than you are willing to lose. Leverage can lead to substantial losses. Any use of leverage, margin, or shorting is at your discretion. Quantified Strategies (SIA Lofjord) is not responsible for any losses that occur as a result of its content and information. Always use a demo account for many months before you do live trading. Trading requires hard and systematic work – there is no easy money, and markets change all the time. And remember: always trade smaller position sizes than you’d like to.

We assume no responsibility or liability for your trading and investment results. The indicators, strategies, programming code, Trading Edges, columns, articles, and all other features of the website QuantifiedStrategies.com are provided for informational and educational purposes only and should not be construed as investment advice. We don’t provide investment advice.

Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Commissions and slippage are not included, and most trading signals are triggered at the close. Also, since the trades have not been executed, the results may have under or overcompensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs, in general, are also subject to the fact that they are designed with the benefit of hindsight. No representations are made that any account will or is likely to achieve profit or losses similar to those shown.

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