Trading Strategies for Sale – Generating Ideas and Insights

We have backtested many trading ideas. You find performance metrics, historical performance, and figures on this page.

You can purchase strategies individually (one by one), as strategy bundles, or via our memberships. However, we don’t assist in your choices or give any recommendations – you need to determine if this suits you. We don’t give investment advice; we do investment research and analysis for informational and educational purposes – factual information. How you use the analysis is up to you. The historical performance and figures do not indicate the strategy’s future success – a strategy might fail after backtesting.

  1. Buy 1 Strategy (Without Becoming a Member) Pick 1 strategy from the strategy list or buy directly here.
  2. 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.
  3. 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).
  4. 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).
  5. 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. (Ninjatrader, ThinkOrSwim, Tradingview, Metatrader, and Python are on demand.)

Commissions and slippage are not included in the backtests (estimated commissions and slippage).

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 was our monthly Trading Edge for August 2021.

Facts and figures (QQQ):

  • No. of trades: 180
  • Average gain per trade: 1.67% (2.7% for winners and -2.3% for losers)
  • Win ratio: 80%
  • Profit factor: 3.3
  • CAGR: 12.9%
  • Exposure/time in the market: 11%
  • Risk-adjusted return: 16% (CAGR divided by time spent in the market (0.11))
  • 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.

The strategy was our monthly Trading Edge for October 2021.

Facts and figures (SPY):

  • No. of trades: 583
  • Average gain per trade: 0.78% (1.6% for winners and -1.7% for losers)
  • Win ratio: 74%
  • Profit factor: 2.5
  • CAGR: 15.2%
  • Exposure/time in the market: 36%
  • Risk-adjusted return: 42% (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 another indicator to improve it.

Facts and figures (QQQ):

  • No. of trades: 244
  • Average gain per trade: 1.3% (2.3% for winners and -2.1% for losers)
  • Win ratio: 78%
  • Profit factor: 3.1
  • CAGR: 13.7%
  • Exposure/time in the market: 14%
  • Risk-adjusted return: 98% (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 In the S&P 500/Nasdaq

The strategy uses the widely used IBS indicator, but we added a second indicator to improve the strategy.

Facts and figures (QQQ):

  • No. of trades: 225
  • Average gain per trade: 1.3% (2.4% for winners and -2.0% for losers)
  • Win ratio: 74%
  • Profit factor: 2.9
  • CAGR: 12.3%
  • Exposure/time in the market: 14%
  • Risk-adjusted return: 87% (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 (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.

Facts and figures (QQQ):

  • No. of trades: 271
  • Average gain per trade: 1.1% (2.1% for winners and -2.5% for losers)
  • Win ratio: 76%
  • Profit factor: 2.6
  • CAGR: 12.1%
  • Exposure/time in the market: 17%
  • Risk-adjusted return: 73% (CAGR divided by time spent in the market (0.16))
  • Max drawdown: -27%

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 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):

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 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.

Facts 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 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.

Facts 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.

This strategy was our monthly Trading Edge for March 2021.

Facts and figures (QQQ):

  • No. of trades: 592
  • Average gain per trade: 0.24% (0.85% for winners and -0.73% for losers)
  • Win ratio: 61%
  • Profit factor: 1.7
  • CAGR: 5.7%
  • Exposure/time in the market: 9.5%
  • Max. drawdown: -11%

The equity curve (log scale):

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

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

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

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

This strategy was our monthly Trading Edge for February 2021.

Facts 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.

This strategy was our monthly Trading Edge for June 2021.

Facts 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 and enters at the close and exits a few days later. There are three variables.

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.)

Facts 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.

(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).)

This strategy was our monthly Trading Edge for January 2024.

Facts and figures (QQQ):

  • No. of trades: 397
  • Average gain per trade: 0.6% (2% for winners and -1.8% for losers)
  • Win ratio: 62%
  • Profit factor: 1.8
  • CAGR: 9.3%
  • Exposure/time in the market: 10%
  • Risk-adjusted return: 86% (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.

Facts and figures (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):

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.

This strategy was our monthly Trading Edge for December 2021.

Facts and figures (TLT):

  • No. of trades: 199
  • Average gain per trade: 0.6% (1.9% for winners and -1.7% for losers)
  • Win ratio: 63%
  • Profit factor: 1.9
  • CAGR: 5.5% (assuming no leverage)
  • Exposure/time in the market: 25%
  • Risk-adjusted return: 21% (CAGR divided by time spent in the market (0.25))
  • 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.

Facts 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. (Thus, it might work well with mean reversion strategies.

This strategy was our monthly Trading Edge for February 2022.

Facts 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.

This strategy was our monthly Trading Edge for March 2022.

Facts 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: Overnight long trade in HYG (junk bonds)

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 April 2022.

Facts and figures (HYG):

  • No. of trades: 169
  • Average gain per trade: 0.22% (0.66% for winners and -0.46% for losers)
  • Win ratio: 61%
  • Profit factor: 2.2
  • CAGR: 2.3% (assuming no leverage)
  • Exposure/time in the market: 4%
  • Risk-adjusted return: 56% (CAGR divided by time spent in the market (0.04))
  • 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.

Facts and figures (SPY):

  • No. of trades: 310
  • Average gain per trade: 0.42% (1.12% for winners and -0.84% for losers)
  • Win ratio: 64%
  • Profit factor: 2.1
  • CAGR: 4.1% (assuming no leverage)
  • Exposure/time in the market: 3.9%
  • Risk-adjusted return: 105% (CAGR divided by time spent in the market (0.39))
  • Max. drawdown: -7%

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.

Facts and figures (QQQ):

  • No. of trades: 188
  • Average gain per trade: 0.8% (1.99% for winners and -2.19% for losers)
  • Win ratio: 72%
  • Profit factor: 2.2
  • CAGR: 6.0% (assuming no leverage)
  • Exposure/time in the market: 11%
  • 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 strategy was our monthly Trading Edge for July 2022.

Facts and figures (QQQ):

  • No. of trades: 418
  • Average gain per trade: 0.6% (1.9% for winners and -1.44% for losers)
  • Win ratio: 62%
  • Profit factor: 2
  • CAGR: 10.1% (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.

This strategy was our monthly Trading Edge for August 2022.

Facts 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.

This strategy was our monthly Trading Edge for September 2022.

Facts 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.

This strategy was our monthly Trading Edge for October 2022.

Facts and figures (TLT):

  • No. of trades: 513
  • Average gain per trade: 0.43%
  • Win ratio: 60%
  • Profit factor: 1.7
  • CAGR: 10.1% (assuming no leverage)
  • Exposure/time in the market: 61%
  • 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.

Facts and figures (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.

Facts 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.

Facts and figures (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):

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.

Facts and figures (VNQ):

  • No. of trades: 361
  • Average unleveraged gain per trade: 0.9% (2.5% for winners and -1.9% for losers)
  • Win ratio: 62%
  • Profit factor: 2.2
  • CAGR: 16.4% (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.

Facts 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.

Facts and figures (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):

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

Facts 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 (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.

Facts and figures (SPY):

  • No. of trades: 563
  • Average unleveraged gain per trade: 0.69% (1.5% for winners and -1.3% for losers)
  • Win ratio: 72%
  • Profit factor: 2.7
  • CAGR: 12.8% (assuming no leverage)
  • Exposure/time in the market: 25%
  • Risk-adjusted return: 51.5% (CAGR divided by time spent in the market (0.25))
  • Max. drawdown: -23%

The equity curve (log scale):

Annual returns:

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

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

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.

Facts and figures (SPY, SMH, and XLP):

  • No. of trades: 301
  • Average unleveraged gain per trade: 0.63% (1.6 for winners and -1.5% for losers)
  • Win ratio: 68%
  • Profit factor: 1.8
  • CAGR: 9.9% (assuming no leverage)
  • Exposure/time in the market: 16%
  • Risk-adjusted return: 62% (CAGR divided by time spent in the market (0.16))
  • Max. drawdown: -19%

The equity curve (log scale):

Annual returns:

Strategy 36: (Bundle 4) Seasonal Strategies (The Holiday Trading Bundle)

Works as a complement to other trading strategies. 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.

Facts and figures (SPY):

  • No. of trades: 123
  • Average unleveraged gain per trade: 0.78%
  • Win ratio: 70%
  • Profit factor: 4
  • CAGR: 3.1% (assuming no leverage)
  • Exposure/time in the market: 7%
  • Risk-adjusted return: 43% (CAGR divided by time spent in the market (0.07))
  • Max. drawdown: -8%

The equity curve (log scale):

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

A short-term trading strategy based on the RSI indicator.

Facts and figures (SPY – S&P 500):

  • No. of trades: 359
  • Average unleveraged gain per trade: 0.78% (1.6% for winners and -1.9% for losers)
  • Win ratio: 76%
  • Profit factor: 2.5
  • CAGR: 8.9% (assuming no leverage)
  • Exposure/time in the market: 16%
  • Risk-adjusted return: 53% (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.

Facts and figures (SPY – S&P 500):

  • No. of trades: 446
  • Average unleveraged gain per trade: 0.66% (1.5% for winners and -1.8% for losers)
  • Win ratio: 75%
  • Profit factor: 2.4
  • CAGR/annual returns: 9.5% (assuming no leverage)
  • Exposure/time in the market: 20%
  • Risk-adjusted return: 47% (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.

Facts and figures (QQQ – Nasdaq 100):

  • No. of trades: 114
  • Average unleveraged gain per trade: 1.3% (2.1% for winners and -1.9% for losers)
  • Win ratio: 81%
  • Profit factor: 4.5
  • CAGR: 6.1% (assuming no leverage)
  • Exposure/time in the market: 6%
  • Risk-adjusted return: 105% (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.

Performance metrics (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 (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: 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 (Bundle)

The strategies trade from the long side and work on many indexes. The bundle is not eligible for any of the membership strategy selections.

Performance metrics (S&P 500 – (even better for QQQ)):

  • No. of trades: 587
  • Average unleveraged gain per trade: 0.63% (1.3% for winners and -1.5% for losers)
  • Win ratio: 75%
  • Profit factor: 2.7
  • CAGR: 12.3% (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

The strategy uses the MACD indicator in a rather creative way. It works on a wide range of ETFs. The strategy is presented as strategy #3 in our MACD strategy video.

Performance metrics (Nasdaq- 100 – QQQ):

  • No. of trades: 376
  • Average unleveraged gain per trade: 0.68% (1.6% for winners and -2% for losers)
  • Win ratio: 74%
  • Profit factor: 2
  • CAGR: 10.9% (assuming no leverage)
  • Exposure/time in the market: 21%
  • Risk-adjusted return: 51% (CAGR divided by time spent in the market (0.41))
  • Max. drawdown: -17%

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

The Heikin Ashi strategy uses monthly bars and is thus a long-term trend-following strategy. The backtest has worked well for most Western stock markets, like DAX, Nikkei, FTSE, etc.

Performance metrics (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

The backtest has worked on many different assets.

Performance metrics (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 is the performance metrics of combining both bundles:

Performance metrics (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)

We sell 3 Bitcoin trading strategies for the price of one strategy.

The 3 strategies are diverse: One strategy is a mean reversion strategy, one is a seasonal trade, and one is a momentum strategy.

Performance metrics (All 3 strategies as one portfolio of strategies):

  • No. of trades: 185 (from 2015)
  • Average unleveraged gain per trade: 5% (17.1% for winners and -4% for losers)
  • Win ratio: 53%
  • Profit factor: 1.9
  • CAGR: 104% (assuming no leverage and no dividends)
  • Exposure/time in the market: 62%
  • Risk-adjusted return: 168% (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):

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

The long-term trend for stocks is up, and hence a “buy the dip” might make sense.

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):

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

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).

Performance metrics (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

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.

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 backtest 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):

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

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: 6 Larry Connors Trading Strategies

We compiled 6 Larry Connors strategies into one product for the price of one strategy. We improved all strategies by adding a variable.

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

Strategy 55: IBS Trading Strategy

The strategy is based on the IBS indicator.

Performance metrics (S&P 500):

  • No. of trades: 614
  • Average unleveraged gain per trade: 0.55% (1.36% for winners – minus 1.51% for losing trades)
  • Win ratio: 72%
  • 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: Moving Average 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 57: Coppock Trading Strategy

The Coppock Curve was developed in the 1950s and is a trend-following strategy. It has worked 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 (But Slightly Better)

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

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

The strategy uses three different RSI variables plus a trend filter. The backtest 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

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 61: Rubber band Trading Strategy

The backtested 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 Golden 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 three assets (SPY, GLD, and TLT). Rules are in plain English and Amibroker (no TradeStation code).

Performance metrics:

  • No. of trades: 426
  • Average unleveraged gain per trade: 0.7% (3.6% for winners and -3% for losers)
  • Win ratio: 56%
  • Profit factor: 1.4
  • CAGR: 7.7% (assuming no leverage)
  • Exposure/time in the market: 92%
  • Risk-adjusted return: 8.2% (CAGR divided by time spent in the market (0.92))
  • Max. drawdown: -18%

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

The strategy uses a seasonal effect in stocks and enters on the last day of the month.

Performance metrics (S&P 500):

  • No. of trades: 192
  • 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

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

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 (Bundle)

We have made a candlestick course available for both Amibroker and Tradestation/Easy Language users.

  • 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.

Performance metrics (monthly):

  • No. of trades: 166
  • 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

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):

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

We combined both indicators to make a swing strategy that lasts a few days.

Performance metrics (Consumer staples- XLP):

  • No. of trades: 169
  • Average unleveraged gain per trade: 0.62% (1.25% for winners and -1.8% for losers)
  • Win ratio: 80%
  • Profit factor: 2.9%
  • CAGR: 4.4% (assuming no leverage but including dividends)
  • Exposure/time in the market: 16%
  • Risk-adjusted return: 27% (CAGR divided by time spent in the market (0.16))
  • 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

The strategy works 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

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 74: CCI (The Commodity Channel Index) 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 75: 3 VIX Trading Strategies (Bundle)

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 (and works on bonds with some modifications).

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

The DMI is part of the ADX indicator. The strategy combines DMI with a trend and mean reversion filter.

Performance metrics (S&P 500 – SPY):

  • No. of trades: 387
  • Average unleveraged gain per trade: 0.48% (1.1% for winners and -1.5% for losers)
  • Win ratio: 76%
  • Profit factor: 2.2
  • CAGR: 6.2% (assuming no leverage but including dividends)
  • Exposure/time in the market: 16%
  • Risk-adjusted return: 37% (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. 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.

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

The strategy is backtested on stocks and related indices, futures, and ETFs.

Performance metrics (S&P 500 – SPY):

  • No. of trades: 165
  • 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: 69%
  • Risk-adjusted return: 125% (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: Qstick Trend Following Strategy

The strategy has worked 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.

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

Performance metrics (SPY):

  • No. of trades: 612
  • Average unleveraged gain per trade: 0.46% (1.1% for winners and -1.6% for losers)
  • Win ratio: 75%
  • Profit factor: 2.3
  • CAGR: 9.1% (assuming no leverage and not including dividends)
  • Exposure/time in the market: 27%
  • Risk-adjusted return: 33% (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

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

Performance metrics (SPY):

  • No. of trades: 382
  • 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

The Turn of the month bias in the stock market is well known, but we improved it.

This strategy was our monthly Trading Edge for September 2023.

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 we backtested it most settings 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

Strategy 84: Double Seven Trading Strategy (Improved – 80% win ratio)

The strategy is inspired by Larry Connors’ Double Seven Strategy, but we have changed and improved the trading rules.

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

  • No. of trades: 352
  • Average unleveraged gain per trade: 0.65% (1.3% for winners and -1.8% for losers)
  • Win ratio: 80%
  • Profit factor: 2.4
  • CAGR: 7.6% (assuming no leverage and including dividends)
  • Exposure/time in the market: 27%
  • Risk-adjusted return: 27% (CAGR divided by time spent in the market (0.27))
  • 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

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: Connors RSI (But better)

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 87: Example Of Combining A Trend Following And Mean Reversion Strategy

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.

Performance metrics (for Nasdaq 100 – QQQ):

  • No. of trades: 104
  • Average unleveraged gain per trade: 3.6% (7.1% for winners and -3.4% for losers)
  • Win ratio: 66%
  • Profit factor: 4.1
  • CAGR: 13.6% (assuming no leverage and including dividends)
  • Exposure/time in the market: 71%
  • Risk-adjusted return: 19% (CAGR divided by time spent in the market (0.71))
  • Max. drawdown: -33%

The equity curve (log scale):

trading strategy for sale

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.

Performance metrics (for SPY and TLT):

  • No. of trades: 654
  • Average unleveraged gain per trade: 0.49% (1.8% for winners and -1.7% for losers)
  • Win ratio: 62%
  • Profit factor: 1.7
  • CAGR: 7.4% (assuming no leverage and including dividends)
  • Exposure/time in the market: 39%
  • 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

The strategy takes advantage of a strong seasonal effect/anomaly in the stock market: the first trading day of the month.

Performance metrics (S&P 500 – SPY):

  • No. of trades: 61
  • 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

We mix 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).

Performance metrics (S&P 500 – SPY):

  • No. of trades: 253
  • Average unleveraged gain per trade: 1.67% (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

We mix price action and a day-of-week effect to create a potential short-term trading strategy. It works best for stocks. You can enter at the close of when the signal triggers or at the open the next day.

Performance metrics (Nasdaq 100 – QQQ):

  • No. of trades: 443
  • Average unleveraged gain per trade: 0.88% (2% for winners and -2.7% for losers)
  • Win ratio: 76%
  • Profit factor: 2.8
  • CAGR: 15.9% (assuming no leverage and including dividends)
  • Exposure/time in the market: 25%
  • Risk-adjusted return: 61% (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

This short strategy trades infrequently but has performed well for volatile stock indices when volatility is high. It has performed well during bear markets. We offer the strategy in Amibroker, Tradestation/Easy Language, and TradingView/Pinescript code.

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

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: 207
  • Average unleveraged gain per trade: 0.35% (1.2% for winners and -1.05% for losers)
  • Win ratio: 62%
  • Profit factor: 2.1
  • CAGR: 3.4% (assuming no leverage and including dividends)
  • Exposure/time in the market: 12%
  • Risk-adjusted return: 27% (CAGR divided by time spent in the market (0.12))
  • 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: A Pullback Trading Strategy

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.

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

Performance metrics (bonds – QQQ):

  • No. of trades: 360
  • Average unleveraged gain per trade: 0.45% (1.6% for winners and -1.3% for losers)
  • Win ratio: 61%
  • Profit factor: 2.2
  • CAGR: 6.8% (assuming no leverage and including dividends)
  • Exposure/time in the market: 6%
  • Risk-adjusted return: 116% (CAGR divided by time spent in the market (0.06))
  • Max. drawdown: -18% (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.

You can now also sell your own strategy on Quantified Strategies

If you want to know more, please contact us.

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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