Buy Single Trading Strategies Or Bundle Packages – Quantified Strategies. Trading And Investing For Traders And Investors

Last Updated on June 3, 2023

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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):

Buy one strategy for 199.
Buy 5 strategies for 490 USD and become a Silver member. Click here and choose “Silver member”, pick which strategies you want from the list below, and send us your choices by email, and we’ll enable them for download.
Buy 24 strategies for 990 USD ($42 per strategy) and become a Gold member. Click here and choose “Gold member”, pick which strategies you want from the list below, and send us your choices by email, and we’ll enable them for download. Gold members can purchase more strategies for 159 USD per strategy (20% rebate! or 10 strategies for USD 990). (20% rebate!
Already a Goldmember? Annual gold members can purchase more strategies for 159 USD per strategy (20% rebate) or 10 strategies for USD 990). (50% rebate!)
Buy Multiple Strategies in 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.
New! Plenty of futures strategies.
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Trading Rules In Plain English (+ Multiple Platform Code)

The strategies are mostly tested on ETFs but usually work equally well on corresponding futures contracts. Each strategy has instructions and trading rules in plain English as well as code in multiple platform codes such as for example Amibroker, Tradestation/Easy Language (except number 6 about candlesticks which only has for Amibroker), and “plain English”. No commissions and slippage included.
OTHER PLATFORMS CODE: All our trading strategies are published with trading rules in plain English and code in multiple platform code languages. (Contact us and let us know which one you are using and want code for)

Strategy bundles (strategy packages)

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

Table of contents:

Strategy 1: Swing Trade Nasdaq/S&P 500 (volatility bands)

The strategy uses volatility 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. We have also made a video of the volatility strategy.

Performance metrics:

No. of trades: 175
Average gain per trade: 1.7% (2.73% for winners and -2.31% for losers)
Win ratio: 79%
Profit factor: 3.3
CAGR: 13.3%
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. 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: 562
Average gain per trade: 0.78% (1.67% for winners and -1.75% for losers)
Win ratio: 74%
Profit factor: 2.5
CAGR: 15.1%
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 on Nasdaq.

Performance metrics:

No. of trades: 236
Average gain per trade: 1.3% (2.35% for winners and -2.1% for losers)
Win ratio: 77%
Profit factor: 3.1
CAGR: 14.1%
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: Two Indicator Swing Trade Strategy 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: 228
Average gain per trade: 1.37% (2.45% for winners and -2.05% for losers)
Win ratio: 75%
Profit factor: 3.3
CAGR: 13.1%
Exposure/time in the market: 14%
Max drawdown: -19%

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: 261
Average gain per trade: 1.1% (2.2% for winners and -2.4% for losers)
Win ratio: 76%
Profit factor: 2.6
CAGR: 12.65%
Exposure/time in the market: 17%
Max drawdown: -25%

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: 452
Average gain per trade: 0.46% (1.08% for winners and -1.25% for losers)
Win ratio: 74%
Profit factor: 2.2
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: 151
Average gain per trade: 0.7% (1.25% for winners and -1.8% for losers)
Win ratio: 82%
Profit factor: 3.2
CAGR: 4.7%
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 Edge in Nasdaq

The strategy buys at the close and sells on the next open. The strategy is based on two variables.

This strategy was our monthly Trading Edge for March 2021.

Performance metrics (QQQ):

No. of trades: 556
Average gain per trade: 0.22% (0.83% for winners and -0.73% for losers)
Win ratio: 61%
Profit factor: 1.7
CAGR: 5.3%
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: 257
Average gain per trade: 0.18% (0.475% for winners and -0.65% for losers)
Win ratio: 60%
Profit factor: 1.6
CAGR: 3.4%
Exposure/time in the market: 3%
Max. drawdown: -5%

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.

This strategy was our monthly Trading Edge for June 2021.

Performance metrics (TLT):

No. of trades: 262
Average gain per trade: 0.38% (0.96% for winners and -1.16% for losers)
Win ratio: 73%
Profit factor: 2.2
CAGR: 4.9%
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: 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: 248
Average gain per trade: 0.29% (0.9% for winners and -0.75% for losers)
Win ratio: 62%
Profit factor: 1.9
CAGR: 3.6%
Exposure/time in the market: 5%
Max. drawdown: -11%

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: 255
Average gain per trade: 0.55% (1.3% for winners and -0.93% for losers)
Win ratio: 66%
Profit factor: 2.4
CAGR: 10.9%
Exposure/time in the market: 7%
Max. drawdown: -12%

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: 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):

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: 190
Average gain per trade: 0.56% (1.9% for winners and -1.7% for losers)
Win ratio: 63%
Profit factor: 1.9
CAGR: 5.1% (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: 156
Average gain per trade: 0.84% (2.3% for winners and -1.5% for losers)
Win ratio: 62%
Profit factor: 2.4
CAGR: 5.3% (assuming no leverage)
Exposure/time in the market: 14%
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: 383
Average gain per trade: 0.44% (0.97% for winners and -1.2% for losers)
Win ratio: 77%
Profit factor: 2.4
CAGR: 5.6% (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.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.

This strategy was our monthly Trading Edge for March 2022.

Performance metrics (SPY):

No. of trades: 404
Average gain per trade: 0.35% (1.35% for winners and -1.15% for losers)
Win ratio: 60%
Profit factor: 1.78
CAGR: 4.56% (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: 163
Average gain per trade: 0.23% (0.67% for winners and -0.47% for losers)
Win ratio: 62%
Profit factor: 2.3
CAGR: 2.3% (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 (QQQ):

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.21):

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

Strategy 22: Long overnight trade in QQQ/NQ/SPY/ES (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! This “simple” strategy has produced remarkable good results.

This strategy was our monthly Trading Edge for July 2022.

Performance metrics (QQQ):

No. of trades: 403
Average gain per trade: 0.63% (1.9% for winners and -1.44% for losers)
Win ratio: 62%
Profit factor: 2
CAGR: 10.5% (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 average holding time is 2.5 days.

This strategy was our monthly Trading Edge for August 2022.

Performance metrics (XLP):

No. of trades: 197
Average gain per trade: 0.37% (0.67% for winners and -0.62% for losers)
Win ratio: 77%
Profit factor: 3.2
CAGR: 3.2% (assuming no leverage)
Exposure/time in the market: 6%
Max. drawdown: -3%

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.

This strategy was our monthly Trading Edge for September 2022.

Performance metrics (XLV):

No. of trades: 142
Average gain per trade: 0.81% (1.82% for winners and -1.24% for losers)
Win ratio: 67%
Profit factor: 2.9
CAGR: 4.9% (assuming no leverage)
Exposure/time in the market: 9%
Max. drawdown: -6%

The equity curve (log scale):

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.

This strategy was our monthly Trading Edge for October 2022.

Performance metrics (TLT):

No. of trades: 493
Average gain per trade: 0.4% (1.63% for winners and -1.38% for losers)
Win ratio: 61%
Profit factor: 187
CAGR: 9.6% (assuming no leverage)
Exposure/time in the market: 56%
Max. drawdown: -21%

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.

Performance metrics (DAX):

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.

Performance metrics (SPY):

No. of trades: 111
Average gain per trade: 0.48% (1.01% for winners and -0.82% for losers)
Win ratio: 71%
Profit factor: 2.8
CAGR: 1.8% (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.

Performance metrics (FGBL):

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):

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.

Performance metrics (VNQ):

No. of trades: 340
Average unleveraged gain per trade: 0.9% (2.5% for winners and -1.9% for losers)
Win ratio: 63%
Profit factor: 2.4
CAGR: 16.6% (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.

Performance metrics (TLT):

No. of trades: 227
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.

Performance metrics (FDAX):

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):

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. It works for GLD and multiple other assets (perhaps even better).

Performance metrics (GLD):

No. of trades: 157
Average unleveraged gain per trade: 0.59% (1.4% for winners and -0.96% for losers)
Win ratio: 65%
Profit factor: 2.5
CAGR: 4.9% (assuming no leverage)
Exposure/time in the market: 9.4%
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: (3) S&P500 Trading strategies (Bundle)

Please check our separate landing page for strategy bundles.

Strategy 34: (3) Volatility Trading strategies (Bundle)

Please check our separate landing page for strategy bundles.

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

Please check our separate landing page for strategy bundles.

Strategy 36: (8) Seasonal Strategies (The Holiday Trading Bundle)

Please check our separate landing page for strategy bundles.

Strategy 37: (40+) Futures Strategies

Please check our separate landing page for futures strategies.

Strategy 38: RSI Trading Strategy

A short-term trading strategy based on the RSI indicator. The strategy works on S&P 500, Nasdaq 100, and consumer staples (XLP).

Performance metrics (SPY – S&P 500):

No. of trades: 353
Average unleveraged gain per trade: 0.78% (1.6% for winners and -1.9% for losers)
Win ratio: 77%
Profit factor: 2.7
CAGR: 9.2% (assuming no leverage)
Exposure/time in the market: 16%
Risk-adjusted return: 54% (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

A short-term trading strategy based on the Stochastic indicator. The strategy works on S&P 500, Nasdaq 100, consumer staples (XLP), and bonds.

Performance metrics (SPY – S&P 500):

No. of trades: 437
Average unleveraged gain per trade: 0.68% (1.5% for winners and -1.8% for losers)
Win ratio: 76%
Profit factor: 2.5
CAGR/annual returns: 9.8% (assuming no leverage)
Exposure/time in the market: 20%
Risk-adjusted return: 48.8% (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

A short-term trading strategy that is based on the MACD indicator. The strategy works on a wide range of markets.

Performance metrics (QQQ – Nasdaq 100):

No. of trades: 112
Average unleveraged gain per trade: 1.4% (2.1% for winners and -1.9% for losers)
Win ratio: 81%
Profit factor: 5.1
CAGR: 6.4% (assuming no leverage)
Exposure/time in the market: 6%
Risk-adjusted return: 111% (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

A short-term trading strategy that is based on Bollinger Bands. The strategy works on S&P 500 and Nasdaq 100.

Performance metrics (SPY – S&P 500):

No. of trades: 508
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 (Bundle)

The three strategies have different trading rules for entry but the same rules for exit and can thus be traded as a portfolio, or they can be traded individually.

Performance metrics (S&P 500):

No. of trades: 18
Average unleveraged gain per trade: 33.3% (40.4% for winners and -2.2% for losers)
Win ratio: 83%
Profit factor: 19
CAGR: 7% vs 6.9% for Buy&Hold (assuming no leverage and no reinvested dividends)
Exposure/time in the market: 76%
Risk-adjusted return: 9.1% (CAGR divided by time spent in the market (0.76))
Max. drawdown: -36%

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: 5 Swing Trading Strategies (Bundle)

The strategies trade from the long side and work on many indexes.

Performance metrics (S&P 500):

No. of trades: 929
Average unleveraged gain per trade: 0.44% (1.1% for winners and -1.5% for losers)
Win ratio: 74%
Profit factor: 2.1
CAGR: 13.7% (assuming no leverage)
Exposure/time in the market: 41%
Risk-adjusted return: 32% (CAGR divided by time spent in the market (0.41))
Max. drawdown: -23%

The equity curve when all 5 strategies are traded as a portfolio of strategies (log scale):

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

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

Strategy 44: 4 Bond Trading Strategies (Bundle)

Strategies are ready for order. The uploading of reports is taking a few days longer than we expected. Please come back soon or leave your email here and we’ll come back to you.

Strategy 45: Heikin Ashi Trading Strategy

Strategies are ready for order. The uploading of reports is taking a few days longer than we expected. Please come back soon or leave your email here and we’ll come back to you.

Strategy 46: LL & LH (Lower Lows & Lower Highs) Trading Strategy

The strategy works on many different assets.

Performance metrics (Pepsi-Cola – PEP):

No. of trades: 298
Average unleveraged gain per trade: 1.1% (2.0% for winners and -2.2% for losers)
Win ratio: 80%
Profit factor: 2.4
CAGR: 8.8% (assuming no leverage and no dividends)
Exposure/time in the market: 11%
Risk-adjusted return: 77% (CAGR divided by time spent in the market (0.11))
Max. drawdown: -21%

The equity curve (log scale):

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

Strategy 47: Combining long and short strategies

This product combines Strategy Bundle 1 (long strategies) and Strategy Bundle 4 (short strategies) to trade stock market indexes BOTH long and short. These are powerful strategies!

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

No. of trades: 765
Average unleveraged gain per trade: 0.75% (1.7% for winners and -1.7% for losers)
Win ratio: 72%
Profit factor: 2.0
CAGR: 25.6% (assuming no leverage and no dividends)
Exposure/time in the market: 40%
Risk-adjusted return: 64% (CAGR divided by time spent in the market (0.40))
Max. drawdown: -23%

The equity curve (log scale):

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

Strategy 48: Bitcoin Trading Strategy

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Strategy 49: Buy the dip Trading Strategy

The long-term trend for stocks is up, and hence a “buy the dip” might make sense. We present a “buy the dip” strategy that works on a wide range of stock-related assets.

Performance metrics (S&P 500 – SPY):

No. of trades: 247
Average unleveraged gain per trade: 0.65% (1.3% for winners and -1.5% for losers)
Win ratio: 77%
Profit factor: 2.8
CAGR: 5.3% (assuming no leverage and no dividends)
Exposure/time in the market: 12%
Risk-adjusted return: 44% (CAGR divided by time spent in the market (0.12))
Max. drawdown: -14%

The equity curve (log scale):

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

Strategy 50: Super indicator Trading Strategy

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Strategy 51: Money Flow Index Trading Strategy

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. It works on a wide range of indexes.

Performance metrics (S&P 500):

No. of trades: 783
Average unleveraged gain per trade: 0.41% (1.2% for winners and -1.7% for losers)
Win ratio: 72%
Profit factor: 1.8
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

The momentum strategy has flexible rules that make it useful for stocks and crypto. The equity curve below is based on S&P 500, but the strategy has also worked on Bitcoin with a small modification.

Performance metrics (S&P 500):

No. of trades: 42
Average unleveraged gain per trade: 9.7% (17.1% for winners and -5% for losers)
Win ratio: 66%
Profit factor: 7
CAGR: 5.7% (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):

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

Strategy 53: NR7 Trading Strategy

Strategies are ready for order. The uploading of reports is taking a few days longer than we expected. Please come back soon or leave your email here and we’ll come back to you.

Strategy 54: Larry Connors Trading Strategies (Bundle)

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Strategy 55: IBS Trading Strategy

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Strategy 56: Moving Average Trading Strategy

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Strategy 57: Coppock Trading Strategy

The Coppock Curve was developed in the 1950s and is a trend-following strategy. It has worked well for stocks and the gold price.

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

We made a small twist to the 200-day moving average strategy that improves this trend-following strategy.

Performance metrics (S&P 500):

No. of trades: 202
Average unleveraged gain per trade: 2.3% (10% for winners and -1% for losers)
Win ratio: 70%
Profit factor: 2.6
CAGR: 6.65% (assuming no leverage and no dividends – same return as Buy & Hold)
Exposure/time in the market: 70%
Risk-adjusted return: 10.1% (CAGR divided by time spent in the market (0.7))
Max. drawdown: -26% (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

The strategy uses three different RSI variables plus a trend filter. The strategy works mainly on stocks, stock market indices, and some bonds.

Performance metrics (SPY – S&P 500):

No. of trades: 92
Average unleveraged gain per trade: 1.38% (1.7% for winners and -1.8% for losers)
Win ratio: 91%
Profit factor: 8
CAGR: 4.2% (assuming no leverage)
Exposure/time in the market: 5%
Risk-adjusted return: 78% (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: Meb Faber Ivy Portfolio

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Strategy 61: Rubber band Trading Strategy

The strategy works for a wide range of indices and stocks.

Performance metrics (Nasdaq 100):

No. of trades: 283
Average unleveraged gain per trade: 0.98% (2.4% for winners and -2.5% for losers)
Win ratio: 70%
Profit factor: 1.8
CAGR: 11.3% (assuming no leverage)
Exposure/time in the market: 18%
Risk-adjusted return: 63% (CAGR divided by time spent in the market (0.185))
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

The Golde Cross indicator is a trend-following that has worked (historically) on many assets.

Performance metrics (S&P 500):

No. of trades: 33
Average unleveraged gain per trade: 14.9% (21.2% for winners and -4.8% for losers)
Win ratio: 75%
Profit factor: 8
CAGR: 6.5% (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: Momentum strategy for stocks, gold, and bonds

We have a monthly momentum rotation strategy for SPY, EFA, EEM, TLT, and GLD. Rules are in plain English and Amibroker.

Performance metrics:

No. of trades: 102
Average unleveraged gain per trade: 2.17% (6.2% for winners and -4.3% for losers)
Win ratio: 62%
Profit factor: 1.8
CAGR: 11.3% (assuming no leverage)
Exposure/time in the market: 100%
Risk-adjusted return: 11.3% (CAGR divided by time spent in the market (1.0))
Max. drawdown: -28%

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 those three assets (SPY, GLD, and TLT). Rules are in plain English and Amibroker.

Performance metrics:

No. of trades: 419
Average unleveraged gain per trade: 0.73% (3.6% for winners and -2.9% for losers)
Win ratio: 56%
Profit factor: 1.4
CAGR: 11.7% (assuming no leverage)
Exposure/time in the market: 18%
Risk-adjusted return: 91% (CAGR divided by time spent in the market (0.185))
Max. drawdown: -12.8%

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

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Strategy 66: Russell 2000 rebalancing strategy

The strategy trades the Russell 2000 index (futures or ETF (IWM)), an annual seasonal trade that has worked exceptionally well.

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

The ADX is a trend indicator, and it normally needs a helping variable. We made an ADX strategy with another variable. The strategy works for stocks, but also for bonds (but less effective).

Performance metrics (QQQ – Nasdaq 100):

No. of trades: 318
Average unleveraged gain per trade: 0.96% (1.8% for winners and -2.2% for losers)
Win ratio: 80%
Profit factor: 2.6
CAGR: 13% (assuming no leverage)
Exposure/time in the market: 17%
Risk-adjusted return: 75% (CAGR divided by time spent in the market (0.16))
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 (Single and Bundle)

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Strategy 69: Death Cross Trading Strategy

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Strategy 70: Bollinger Bands + RSI Trading Strategy

The strategy below trades BOTH long and short and works on many indices.

Performance metrics (Semiconductors (SMH))):

No. of trades: 302
Average unleveraged gain per trade: 2.1% (2.3% for winners and -2.1% for losers)
Win ratio: 70%
Profit factor: 2.1%
CAGR: 10.4% (assuming no leverage and not including dividends)
Exposure/time in the market: 16%
Risk-adjusted return: 65% (CAGR divided by time spent in the market (0.16))
Max. drawdown: -13%

The equity curve (log scale):

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

Strategy 71: MACD + RSI Trading Strategy

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Strategy 72: ADX + RSI Trading Strategy

The strategy works well for stock market indices, even bonds.

Performance metrics (Nasdaq 100 – QQQ):

No. of trades: 245
Average unleveraged gain per trade: 1.15% (2.3% for winners and -2.3% for losers)
Win ratio: 74%
Profit factor: 2.4%
CAGR: 11.5% (assuming no leverage and not including dividends)
Exposure/time in the market: 15%
Risk-adjusted return: 77% (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: Stochastic + Bollinger Bands Trading Strategy

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Strategy 74: CCI (The Commodity Channel Index) Trading Strategy

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Strategy 75: (4) VIX Trading Strategies (Bundle)

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Strategy 76: DMI Trading Strategies

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Strategy 77: (5) Swing Trading Trading Strategies (Bundle)

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Strategy 78: Day Trading Strategy

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Strategy 79: Qstick Trend Following Strategy

The strategy works well for stock market indices, like S&P 500, DAX40, and Nikkei 225 (for example).

Performance metrics (S&P 500 since 1960):

No. of trades: 50
Average unleveraged gain per trade: 1.38% (18.8% for winners and -4.7% for losers)
Win ratio: 58%
Profit factor: 5.8
CAGR: 3.5% (assuming no leverage and not including dividends)
Exposure/time in the market: 69%
Risk-adjusted return: 8.4% (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. 79):

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

Strategy 80: End-of-Month Strategy

The end-of-month bias in the stock market is well known. But we improved it.

Performance metrics (SPY):

No. of trades: 496
Average unleveraged gain per trade: 0.47% (1.1% for winners and -1.6% for losers)
Win ratio: 76%
Profit factor: 2.3
CAGR: 9.2% (assuming no leverage and not including dividends)
Exposure/time in the market: 26%
Risk-adjusted return: 35% (CAGR divided by time spent in the market (0.26))
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

The Turnaround Tuesday bias in the stock market is well known. But we improved it.

Performance metrics (SPY):

No. of trades: 153
Average unleveraged gain per trade: 0.94% (1.7% for winners and -1.4% for losers)
Win ratio: 74%
Profit factor: 3.5
CAGR: 4.7% (assuming no leverage and not including dividends)
Exposure/time in the market: 5%
Risk-adjusted return: 86% (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. 81):

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

Strategy 82: Turn of the Month Strategy

The Turn of the month bias in the stock market is well known, but we improved it. It has worked very well since at least 1960.

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

No. of trades: 634
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

The Ultimate Oscillator is not well known, but it works pretty well for most settings and best for stocks and bonds (TLT).

Performance metrics (for XLK – an ETF that tracks tech stocks):

No. of trades: 280
Average unleveraged gain per trade: 0.82% (2.2% for winners and -2.5% for losers)
Win ratio: 70%
Profit factor: 2.3
CAGR: 9.5% (assuming no leverage and not including dividends)
Exposure/time in the market: 19%
Risk-adjusted return: 50% (CAGR divided by time spent in the market (0.19))
Max. drawdown: -24%

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

You can now also sell your own strategy on Quantified Strategies

If you want to know more, please contact us.

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.

Trading involves a high level of risk and is not suitable for all investors. Past performance is not indicative of future results. You may incur substantial losses when trading futures or ETFs, even if the underlying asset moves in the direction you expected. In addition, the leverage inherent in futures trading can magnify any losses. It is important to carefully consider your financial situation and risk tolerance before deciding to trade futures. You should also be aware of the risks specific to the futures contract you are trading, such as the risk of early assignment for options on futures and the potential for illiquid markets. It is recommended that you seek the advice of a financial professional before trading futures.