Micron (MU) Signals-Weekly

Posted on September 20, 2018September 20, 2018 by Andrew MacLean

The trading signals for Micron (MU) shown here were selected from over a million backtest results for their reward/risk and parameter sensitivity characteristics. Backtests don't always generate reliable signals which can be counted on moving forward but many traders find value in knowing what buy and sell signals would have worked well in the past.

Returns for the Micron (MU) signals

For the 528 week (10.1 year) period from Aug 4 2008 to Sep 14 2018, these signals for Micron (MU) traded both long and short would have yielded $19,421,830 in profits from a $10,000 initial investment, an annualized return of 111.6%. Traded long only (no short selling) the signals would have returned $1,846,100, an annualized return of 67.7%. 81.5% of time was spent holding stock long. The return would have been $83,340 (an annualized return of 24.8%) if you had bought and held the stock for the same period.

Signals and Trades

Not all signals are acted upon and signals are often reinforced in this type of strategy. If you are long in the security, buy signals are not acted on, for example. Similarly if you are short you must ignore sell signals. There were 167 buy signals and 150 sell signals for this particular MU strategy. These led to 43 round trip long trades of which 29 were profitable, and 43 short trades of which 36 were profitable. This is a weekly strategy; weekly OHLC data is used to derive all signals and there is at most one buy and sell signal and one trade per week.

Drawdown and Reward/Risk

Drawdown (the worst case loss for an single entry and exit into the strategy) was 97% for long-short and 48% for long only. This compares to 74% for buy-hold. The reward/risk for the trading long and short was 1.09 compared to 0.31 for buy-hold, a factor of 3.5 improvement. If traded long only, the reward/risk was 1.29. We use drawdown plus 5% as our risk metric, and annualized return as the reward metric.

The backtests assume a commission per trade of $7.

Microsoft (MSFT) Signals-Daily

Posted on September 19, 2018September 19, 2018 by Andrew MacLean

The above trading signals for Microsoft (MSFT) were selected from over a million backtest results for their reward/risk and parameter sensitivity characteristics. Backtests don't always generate reliable signals which can be counted on moving forward but many traders find value in knowing what buy and sell signals would have worked well in the past.

Returns for the Microsoft (MSFT) signals

For the 528 day (2.1 year) period from Aug 16 2016 to Sep 19 2018, these signals for Microsoft (MSFT) traded both long and short would have yielded $34,970 in profits from a $10,000 initial investment, an annualized return of 105.2%. Traded long only (no short selling) the signals would have returned $20,123, an annualized return of 69.4%. 66.3% of time was spent holding stock long. The return would have been $10,335 (an annualized return of 40.4%) if you had bought and held the stock for the same period.

Signals and Trades

Not all signals are acted upon and signals are often reinforced in this type of strategy. If you are long in the security, buy signals are not acted on, for example. Similarly if you are short you must ignore sell signals. There were 375 buy signals and 87 sell signals for this particular MSFT strategy .These led to 61 round trip long trades of which 50 were profitable, and 60 short trades of which 38 were profitable. This is a daily strategy; daily OHLC data is used to derive all signals and there is at most one buy and sell signal and one trade per day.

Drawdown and Reward/Risk

Drawdown (the worst case loss for an single entry and exit into the strategy) was 7% for long-short and 5% for long only. This compares to 9% for buy-hold. The reward/risk for the trading long and short was 9.02 compared to 2.80 for buy-hold, a factor of 3.2 improvement. If traded long only, the reward/risk was 7.18. We use drawdown plus 5% as our risk metric, and annualized return as the reward metric.

The backtests assume a commission per trade of $7.

Micron (MU) Signals-Daily

Posted on September 19, 2018October 4, 2018 by Andrew MacLean

The Micron (MU) signals were selected from over a million backtest results for their reward/risk and parameter sensitivity characteristics. Backtests don't always generate reliable signals which can be counted on moving forward but many traders find value in knowing what buy and sell signals would have worked well in the past.

Returns for the Micron (MU) Signals

For the 528 day (2.1 year) period from Aug 16 2016 to Sep 19 2018, these signals for Micron (MU) traded both long and short would have yielded $137,905 in profits from a $10,000 initial investment, an annualized return of 262.5%. Traded long only (no short selling) the signals would have returned $55,659, an annualized return of 145.9%. 63.6% of time was spent holding stock long. The return would have been $18,979 (an annualized return of 66.3%) if you had bought and held the stock for the same period.

Signals and Trades

Not all signals are acted upon and signals are often reinforced in this type of strategy. If you are long in the security, buy signals are not acted on, for example. Similarly if you are short you must ignore sell signals. There were 282 buy signals and 252 sell signals for this particular MU strategy .These led to 116 round trip long trades of which 70 were profitable, and 117 short trades of which 71 were profitable. This is a daily strategy; daily OHLC data is used to derive all signals and there is at most one buy and sell signal and one trade per day.

Drawdown and Reward/Risk

Drawdown (the worst case loss for an single entry and exit into the strategy) was 15% for long-short and 18% for long only. This compares to 35% for buy-hold. The reward/risk for the trading long and short was 13.29 vs. 1.65 for buy-hold, an improvement factor of around 8.1 If traded long only, the reward/risk was 6.34. We use drawdown plus 5% as our risk metric, and annualized return as the reward metric.

The backtests assume a commission per trade of $7.

Netflix (NFLX) Signals-Daily

Posted on September 19, 2018September 19, 2018 by Andrew MacLean

These trading signals for NFLX were selected from over a million backtest results for their reward/risk and parameter sensitivity characteristics. Backtests don't always generate reliable signals which can be counted on moving forward but many traders find value in knowing what buy and sell signals would have worked well in the past.

Returns

For the 528 day (2.1 year) period from Aug 15 2016 to Sep 18 2018, these signals for Netflix (NFLX) traded both long and short would have yielded $129,107 in profits from a $10,000 initial investment, an annualized return of 252.1%. Traded long only (no short selling) the signals would have returned $64,042, an annualized return of 160.4%. 79.4% of time was spent holding stock long. The return would have been $27,969 (an annualized return of 89.2%) if you had bought and held the stock for the same period.

Signals and Trades

Not all signals are acted upon and signals are often reinforced in this type of strategy. If you are long in the security, buy signals are not acted on, for example. Similarly if you are short you must ignore sell signals. There were 65 buy signals and 36 sell signals for this particular NFLX strategy .These led to 22 round trip long trades of which 15 were profitable, and 21 short trades of which 18 were profitable. This is a daily strategy; daily OHLC data is used to derive all signals and there is at most one buy and sell signal and one trade per day.

Drawdown and Reward/Risk

Drawdown (the worst case loss for an single entry and exit into the strategy) was 15% for long-short and 14% for long only. This compares to 25% for buy-hold. The reward/risk for the trading long and short was 12.36 vs. 2.94 for buy-hold, an improvement factor of around 4.2 If traded long only, the reward/risk was 8.44. We use drawdown plus 5% as our risk metric, and annualized return as the reward metric.

The backtests assume a commission per trade of $7.

Direxion Daily Gold Miners Bear 3X ETF (DUST) Signals-Daily

Posted on September 18, 2018September 18, 2018 by Andrew MacLean

These trading signals for DUST were selected from over a million backtest results for their reward/risk and parameter sensitivity characteristics. Backtests don't always generate reliable signals which can be counted on moving forward but many traders find value in knowing what buy and sell signals would have worked well in the past.

Returns

For the 528 day (2.1 year) period from Aug 11 2016 to Sep 14 2018, these signals for Direxion Daily Gold Miners Bear 3X ETF (DUST) traded both long and short would have yielded $950,426 in profits from a $10,000 initial investment, an annualized return of 786.7%. Traded long only (no short selling) the signals would have returned $151,215, an annualized return of 277.8%. 39.4% of time was spent holding stock long. The return would have been $8,065 (an annualized return of 32.7%) if you had bought and held the stock for the same period.

Signals and Trades

Not all signals are acted upon and signals are often reinforced in this type of strategy. If you are long in the security, buy signals are not acted on, for example. Similarly if you are short you must ignore sell signals. There were 111 buy signals and 46 sell signals for this particular DUST strategy .These led to 26 round trip long trades of which 22 were profitable, and 26 short trades of which 19 were profitable. This is a daily strategy; daily OHLC data is used to derive all signals and there is at most one buy and sell signal and one trade per day.

Drawdown and Reward/Risk

Drawdown (the worst case loss for an single entry and exit into the strategy) was 55% for long-short and 34% for long only. This compares to 73% for buy-hold. The reward/risk for the trading long and short was 13.03 vs. 0.42 for buy-hold, an improvement factor of around 31.0 If traded long only, the reward/risk was 7.21. We use drawdown plus 5% as our risk metric, and annualized return as the reward metric.

The backtests assume a commission per trade of $7.

Direxion Daily Gold Miners (NUGT) Signals-Daily

Posted on September 17, 2018September 17, 2018 by Andrew MacLean

These trading signals for NUGT were selected from over a million backtest results for their reward/risk and parameter sensitivity characteristics. Backtests don't always generate reliable signals which can be counted on moving forward but many traders find value in knowing what buy and sell signals would have worked well in the past.

Returns

For the 528 day (2.1 year) period from Aug 11 2016 to Sep 14 2018, these signals for Direxion Daily Gold Miners (NUGT) traded both long and short would have yielded $793,045 in profits from a $10,000 initial investment, an annualized return of 714.0%. Traded long only (no short selling) the signals would have returned $30,185, an annualized return of 94.4%. 37.2% of time was spent holding stock long. The return would have been -$9,133 (an annualized return of -68.9%) if you had bought and held the stock for the same period. The signals would have returned $174,580 (303% annualized return) if traded short only.

Signals and Trades

Not all signals are acted upon and signals are often reinforced in this type of strategy. If you are long in the security, buy signals are not acted on, for example. Similarly if you are short you must ignore sell signals. There were 292 buy signals and 453 sell signals for this particular NUGT strategy .These led to 162 round trip long trades of which 91 were profitable, and 161 short trades of which 109 were profitable. This is a daily strategy; daily OHLC data is used to derive all signals and there is at most one buy and sell signal and one trade per day.

Drawdown and Reward/Risk

Drawdown (the worst case loss for an single entry and exit into the strategy) was 46% for long-short and 41% for long only. This compares to 92% for buy-hold. The reward/risk for the trading long and short was 13.99 vs. 1.88 for short-hold, an improvement factor of around 7.4. If traded long only, the reward/risk was 2.06, short only was 5.12 (54% drawdown). We use drawdown plus 5% as our risk metric, and annualized return as the reward metric.

The backtests assume a commission per trade of $7.

Apple (AAPL) Signals-Daily

Posted on September 16, 2018September 16, 2018 by Andrew MacLean

These trading signals for AAPL were selected from over a million backtest results for their reward/risk and parameter sensitivity characteristics. Backtests don't always generate reliable signals which can be counted on moving forward but many traders find value in knowing what buy and sell signals would have worked well in the past.

Returns

For the 528 day (2.1 year) period from Aug 11 2016 to Sep 14 2018, these signals for Apple (AAPL) traded both long and short would have yielded $26,635 in profits from a $10,000 initial investment, an annualized return of 86.0%. Traded long only (no short selling) the signals would have returned $18,379, an annualized return of 64.7%. 75.6% of time was spent holding stock long. The return would have been $11,309 (an annualized return of 43.6%) if you had bought and held the stock for the same period.

Signals and Trades

Not all signals are acted upon and signals are often reinforced in this type of strategy. If you are long in the security, buy signals are not acted on, for example. Similarly if you are short you must ignore sell signals. There were 162 buy signals and 43 sell signals for this particular AAPL strategy .These led to 23 round trip long trades of which 14 were profitable, and 24 short trades of which 18 were profitable. This is a daily strategy; daily OHLC data is used to derive all signals and there is at most one buy and sell signal and one trade per day.

Drawdown and Reward/Risk

Drawdown (the worst case loss for an single entry and exit into the strategy) was 9% for long-short and 11% for long only. This compares to 14% for buy-hold. The reward/risk for the trading long and short was 6.09 vs. 2.33 for buy-hold, an improvement factor of around 2.6 If traded long only, the reward/risk was 4.14. We use drawdown plus 5% as our risk metric, and annualized return as the reward metric.

The backtests assume a commission per trade of $7.

Alibaba (BABA) Signals – Daily

Posted on September 15, 2018September 15, 2018 by Andrew MacLean

These trading signals for BABA were selected from over a million backtest results for their reward/risk and parameter sensitivity characteristics.While backtests don't always provide reliable signals which can be counted on moving forward, many traders find value in knowing what buy and sell signals would have worked well in the past.

For the 528 day (2.1 year) period from Aug 11 2016 to Sep 14 2018, these signals for Alibaba (BABA) traded both long and short would have yielded $41,203 in profits from a $10,000 initial investment, an annualized return of 118.3%. Traded long only (no short selling) the signals would have returned $19,507, an annualized return of 67.8%. 78.0% of time was spent holding stock long. If you had bought and held the stock for the same period the profit would have been $7,879 (an annualized return of 32.0%).

For this type of strategy, not every signal is acted upon and signals are often reinforced. If you are long in the security, buy signals can be ignored, for example. Similarly if you are short you can ignore sell signals. For this particular BABA strategy there were 519 buy buy signals and 214 sell sell signals.These led to 114 round trip long trades of which 69 were profitable, and 113 short trades of which 66 were profitable. This is a daily strategy; daily OHLC data is used to derive all signals and there is at most one buy and sell signal and one trade per day.

Drawdown (the worst case loss for an single entry and exit into the strategy) was 12% for long-short and 13% for long only, compared to 27% for buy-hold. Using drawdown plus 5% as our risk metric, and annualized return as the reward metric, the reward/risk for the trading long and short was 6.93 vs. 1.00 for buy-hold, an improvement factor of around 6.9 If traded long only, the reward/risk was 3.71

The backtests assume a commission per trade of $7.

Facebook (FB) Signals – Daily

Posted on September 13, 2018September 13, 2018 by Andrew MacLean

These trading signals for FB were selected from over a million backtest results for their reward/risk and parameter sensitivity characteristics. While backtests don't always provide reliable signals which can be counted on moving forward, many traders find value in knowing what buy and sell signals would have worked well in the past.

For the 528 day (2.1 year) period from Aug 9 2016 to Sep 12 2018, these signals for Facebook, Inc. (FB) traded both long and short would have yielded $30,973 in profits from a $10,000 initial investment, an annualized return of 96.3%. Traded long only (no short selling) the signals would have returned $13,330, an annualized return of 49.9%. 83.5% of time was spent holding stock long. If you had bought and held the stock for the same period the profit would have been $2,925 (an annualized return of 13.1%).

For this type of strategy, not every signal is acted upon and signals are often reinforced. If you are long in the security, buy signals can be ignored, for example. Similarly if you are short you can ignore sell signals. For this particular FB strategy there were 79 buy signals and 16 sell signals.These led to 16 round trip long trades of which 13 were profitable, and 15 short trades of which 14 were profitable. This is a daily strategy; daily OHLC data is used to derive all signals and there is at most one buy and sell signal and one trade per day.

Drawdown (the worst case loss for an single entry and exit into the strategy) was 14% for long-short and 14% for long only, compared to 26% for buy-hold. Using drawdown plus 5% as our risk metric, and annualized return as the reward metric, the reward/risk for the trading long and short was 5.00 vs. 0.43 for buy-hold, an improvement factor of around 11.8. If traded long only, the reward/risk was 2.59.

The backtests assume a commission per trade of $7.

AMZN (Amazon) Signals – Monthly

Posted on August 25, 2018September 19, 2018 by Andrew MacLean

For the 255 month (21.2 year) period from May 1 1997 to Jul 31 2018, these signals for Amazon.com, Inc. (AMZN) traded long and short would have yielded $5,434,919,985 in profits from a $10,000 initial investment, an annualized return of 86.6%. The long-side profit (buy/sell only, no shorts) for the signals was $462,171,488, an annualized return of 66.1%. If you had bought and held the stock for the same period the profit would have been $7,308,974 (an annualized return of 36.6%). The trading style was Long & Short, meaning that you would be long or short the security at all times.

For this type of strategy, not every signal is acted upon and signals are often reinforced. If you are long in the security, buy signals can be ignored, for example. Similarly if you are short you can ignore sell signals. For this particular AMZN strategy there were 150 buy signals and 53 sell signals.These led to 34 long trades of which 22 were profitable, and 33 short trades of which 22 were profitable.

This is a monthly strategy; monthly OHLC data is used to derive all signals and there is at most one buy and sell signal and one trade per month. Drawdown (the worst case loss for an single entry and exit into the strategy) was 46% vs. 93% for buy-hold. Using drawdown plus 5% as our risk metric, and annualized return as the reward metric, the reward/risk for the strategy was 1.70 vs. 0.37 for buy-hold, an improvement factor of around 4.6