GLD Signals Equity

SPDR Gold Trust (GLD) Signals-Weekly

These SPDR Gold Trust (GLD) signals traded as directed would have performed around 22.8 times better than buy-hold with an ROI of 627% for the period 04-Aug-08 to 14-Sep-18

GLD Signals Weekly

The trading signals for SPDR Gold Trust (GLD) 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 SPDR Gold Trust (GLD) signals

For the 528 week (10.1 year) period from Aug 4 2008 to Sep 14 2018, these signals for SPDR Gold Trust (GLD) traded both long and short would have yielded $62,741 in profits from a $10,000 initial investment, an annualized return of 21.7%. Traded long only (no short selling) the signals would have returned $23,712, an annualized return of 12.8%. 46.2% of time was spent holding stock long. The return would have been $2,753 (an annualized return of 02.4%) 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 207 buy signals and 271 sell signals for this particular GLD strategy .These led to 88 round trip long trades of which 52 were profitable, and 89 short trades of which 38 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 20% for long-short and 19% for long only. This compares to 45% for buy-hold. The reward/risk for the trading long and short was 0.87 compared to 0.05 for buy-hold, a factor of 17.8 improvement. If traded long only, the reward/risk was 0.53. 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.

SPDR S&P 500 (SPY) Signals-Weekly Equity

SPDR S&P 500 (SPY) Signals-Weekly

These SPDR S&P 500 (SPY) signals (weekly) traded as directed would have performed around 6.7 times better than buy-hold with an ROI of 1,229% for the period 04-Aug-08 to 14-Sep-18

SPDR S&P 500 (SPY) Signals-Weekly

The featured trading signals for SPDR S&P 500 (SPY) 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 SPDR S&P 500 (SPY) signals

For the 528 week (10.1 year) period from Aug 4 2008 to Sep 14 2018, these signals for SPDR S&P 500 (SPY) traded both long and short would have yielded $122,873 in profits from a $10,000 initial investment, an annualized return of 29.2%. Traded long only (no short selling) the signals would have returned $54,282, an annualized return of 20.2%. 93.0% of time was spent holding stock long. The return would have been $18,390 (an annualized return of 10.9%) 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 424 buy signals and 33 sell signals for this particular SPY strategy .These led to 24 round trip long trades of which 19 were profitable, and 23 short trades of which 17 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 14% for long-short and 14% for long only. This compares to 47% for buy-hold. The reward/risk for the trading long and short was 1.51 compared to 0.21 for buy-hold, a factor of 7.3 improvement. If traded long only, the reward/risk was 1.05. 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. Returns have been adjusted for the worst case effects of 40 dividends

SPY Signals Equity

SPDR S&P 500 (SPY) Signals-Daily

These SPDR S&P 500 (SPY) signals traded as directed would have performed around 2.5 times better than buy-hold with an ROI of 98% for the period 16-Aug-16 to 19-Sep-18

SPDR S&P 500 (SPY) Signals

The SPDR S&P 500 (SPY) 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 SPDR S&P 500 (SPY) signals

For the 528 day (2.1 year) period from Aug 16 2016 to Sep 19 2018, these signals for SPDR S&P 500 (SPY) traded both long and short would have yielded $9,780 in profits from a $10,000 initial investment, an annualized return of 38.6%. Traded long only (no short selling) the signals would have returned $6,906, an annualized return of 28.5%. 87.7% of time was spent holding stock long. The return would have been $3,914 (an annualized return of 17.1%) 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 25 buy signals and 32 sell signals for this particular SPY strategy .These led to 9 round trip long trades of which 8 were profitable, and 8 short trades of which 7 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 4% for long-short and 4% for long only. This compares to 10% for buy-hold. The reward/risk for the trading long and short was 4.33 compared to 1.15 for buy-hold, a factor of 3.8 improvement. If traded long only, the reward/risk was 3.21. 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. Returns have been adjusted for the worst case effects of 8 dividends.

Micron MU Signals Weekly Equity

Micron (MU) Signals-Weekly

These Micron (MU) signals traded as directed would have performed around 233 times better than buy-hold with an ROI of 194,218% for the period 04-Aug-08 to 14-Sep-18

Micron MU Signals Weekly

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 Equity

Microsoft (MSFT) Signals-Daily

These Microsoft (MSFT) signals traded as directed would have performed around 3.4 times better than buy-hold with an ROI of 350% for the period 16-Aug-16 to 19-Sep-18

Microsoft (MSFT) Signals

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 Equity

Micron (MU) Signals-Daily

These Micron (MU) signals traded as directed would have performed around 7.3 times better than buy-hold with an ROI of 1379% for the period 16-Aug-16 to 19-Sep-18

MU Trading Signals Daily

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.

NFLX Signals Daily Equity

Netflix (NFLX) Signals-Daily

These Netflix (NFLX) signals traded as directed would have performed around 4.6 times better than buy-hold with an ROI of 1291% for the period 15-Aug-16 to 18-Sep-18

NFLX Signals Daily

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.

DUST Signals Equity

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

These Direxion Daily Gold Miners Bear 3X ETF (DUST) signals traded as directed would have performed around 117.8 times better than buy-hold with an ROI of 9504% for the period 11-Aug-16 to 14-Sep-18

DUST Signals Daily

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.

NUGT Signals Equity

Direxion Daily Gold Miners (NUGT) Signals-Daily

These Direxion Daily Gold Miners (NUGT) signals traded as directed would have performed around 86.8 times better than short-hold with an ROI of 7930% for the period 11-Aug-16 to 14-Sep-18.

NUGT Signals Daily

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 Equity

Apple (AAPL) Signals-Daily

These Apple (AAPL) signals traded as directed would have performed around 2.4 times better than buy-hold with an ROI of 266% for the period 11-Aug-16 to 14-Sep-18

Apple AAPL Signals Daily

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.