Gap Delight
- hypothetical · Annual Return (Compounded)
- 0.0%
- Max Drawdown
- 100.0%
- Trades
- 481
- Win Trades
- 44.1%
- Profit Factor
- 0.40
- Win Months
- 0.5%
About this strategy
System interface testing is complete for autotrading. This system is now ready for additional subscribers.
To trade my signals requires a daytrading account. For most subscribers, this means a 25k minimum, 30k recommended to allow for drawdowns.
I recommend a low commission brokerage with fast fills for trading this system. Interactive Brokers is one such brokerage. Interactive Brokers and Tradebullet is a combination that seems to work pretty good for autotrading.
Part of the reason I'm doing this is to allow investments banks and hedge funds to see my track record. Most require a six month to two year audited record before allocating capital to a trader. If I can make some additional money allowing people to subscribe to my signals, that's great too. However, if slippage becomes an issue, I will close the system to new subscribers.
While no system can guarantee risk-free or low-risk trading, and while unforeseen events can cause you to lose all your money, I do make an effort to control risk. I try to size the stop for each trade to be around 1% risk of total capital.
If you are recent subscriber or contemplating becoming a subscriber, please allow me to make the following suggestion for how to begin trading a system, mine or anyone else's.
1. Paper trade. Use simulator mode for the first week. If you are using Tradebullet and IB, you can do this.
2. Trade small shares. Once you are satisfied with the performance of the system in simulator mode, try trading a small percentage of what your normal scaling factor would be. Even if commissions eat up most of your profits during this trial period, it's good discipline to prove to yourself that you can withstand the losses and still be around to enjoy the gains.
3. Once the system has proven to perform as you expected, slowly increase your exposure. If it doesn't perform as expected, don't increase your exposure. It's a lot more fun to take greater risk when you are up than when you are down.
4. Don't flip in and out of a system. Nothing is worse than subscribing after a system has a gain and unsubscribing after a loss and then missing the next gain. If you find yourself doing this, it's usually an indication you are trading with too much size. Try scaling back your exposure. It should help you ride out the ups and downs.
To trade my signals requires a daytrading account. For most subscribers, this means a 25k minimum, 30k recommended to allow for drawdowns.
I recommend a low commission brokerage with fast fills for trading this system. Interactive Brokers is one such brokerage. Interactive Brokers and Tradebullet is a combination that seems to work pretty good for autotrading.
Part of the reason I'm doing this is to allow investments banks and hedge funds to see my track record. Most require a six month to two year audited record before allocating capital to a trader. If I can make some additional money allowing people to subscribe to my signals, that's great too. However, if slippage becomes an issue, I will close the system to new subscribers.
While no system can guarantee risk-free or low-risk trading, and while unforeseen events can cause you to lose all your money, I do make an effort to control risk. I try to size the stop for each trade to be around 1% risk of total capital.
If you are recent subscriber or contemplating becoming a subscriber, please allow me to make the following suggestion for how to begin trading a system, mine or anyone else's.
1. Paper trade. Use simulator mode for the first week. If you are using Tradebullet and IB, you can do this.
2. Trade small shares. Once you are satisfied with the performance of the system in simulator mode, try trading a small percentage of what your normal scaling factor would be. Even if commissions eat up most of your profits during this trial period, it's good discipline to prove to yourself that you can withstand the losses and still be around to enjoy the gains.
3. Once the system has proven to perform as you expected, slowly increase your exposure. If it doesn't perform as expected, don't increase your exposure. It's a lot more fun to take greater risk when you are up than when you are down.
4. Don't flip in and out of a system. Nothing is worse than subscribing after a system has a gain and unsubscribing after a loss and then missing the next gain. If you find yourself doing this, it's usually an indication you are trading with too much size. Try scaling back your exposure. It should help you ride out the ups and downs.
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011 | 5.0 | -6.0 | -171.6 | -0.4 | -0.4 | -0.4 | -0.4 | 0.0 | 0.0 | -171.8 | |||
| 2012 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2013 | -0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2014 | -0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2015 | 0.0 | 0.0 | 0.0 | -0.0 | 0.0 | 0.0 | -0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2016 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2017 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2018 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2019 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2020 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2021 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2022 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2023 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2024 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2025 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2026 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Statistics
Overview
| Strategy began | 4/26/2011 |
|---|---|
| Suggested Minimum Capital | $30,000 |
| Age | 187 months |
| What it trades | Stocks |
| # Trades | 481 |
| # Profitable | 212 |
| % Profitable | 44.1% |
| Avg trade duration | 34.8 minutes |
| Max peak-to-valley drawdown | 100.0% |
| drawdown period | June 18, 2011 - June 20, 2011 |
| Annual Return (Compounded) | 0.0% |
| Avg win | $132 |
| Avg loss | $260 |
Ratios
| W:L ratio | 0.40 |
|---|---|
| Sharpe Ratio | -2.09 |
| Sortino Ratio | -2.15 |
| Calmar Ratio | -0.96 |
CORRELATION STATISTICS
| Correlation to SP500 | -0.01 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 460.5% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -644.7% |
Return Statistics
| Ann Return (w trading costs) | 0.0% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | 0.0% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 0.0% |
Slump
| Current Slump as Pcnt Equity | — |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 1.0% |
Instruments
| Percent Trades Forex | 0.0% |
|---|---|
| Percent Trades Futures | 0.0% |
| Percent Trades Options | 0.0% |
| Percent Trades Stocks | 1.0% |
Risk of Ruin (Monte-Carlo)
| Chance of 10% account loss | 100.0% |
|---|---|
| Chance of 20% account loss | 100.0% |
| Chance of 30% account loss | 100.0% |
| Chance of 40% account loss | 100.0% |
| Chance of 50% account loss | 100.0% |
| Chance of 60% account loss (Monte Carlo) | 100.0% |
| Chance of 70% account loss (Monte Carlo) | 100.0% |
| Chance of 80% account loss (Monte Carlo) | 100.0% |
| Chance of 90% account loss (Monte Carlo) | 100.0% |
| Chance of 100% account loss (Monte Carlo) | 100.0% |
Automation
| Percentage Signals Automated | 0.0% |
|---|
Popularity
| Popularity (Today) | 0 |
|---|---|
| Popularity (Last 6 weeks) | 0 |
| Popularity (7 days, Percentile 1000 scale) | 0 |
Trading Style
| Any stock shorts? 0/1 | 1 |
|---|
Trades-Own-System Certification
| Trades Own System? | 0 |
|---|---|
| TOS percent | 0.0% |
Win / Loss
| Avg Loss | $260 |
|---|---|
| Avg Win | $132 |
| # Winners | 212 |
| Sum Trade PL (losers) | $69,981 |
| Sum Trade PL (winners) | $27,942 |
| Num Months Winners | 1 |
| # Losers | 269 |
| % Winners | 44.1% |
Dividends
| Dividends Received in Model Acct | 0 |
|---|
Age
| Num Months filled monthly returns table | 3 |
|---|
Frequency
| Avg Position Time (mins) | 34.75 |
|---|---|
| Avg Position Time (hrs) | 0.58 |
| Avg Trade Length | 0 |
| Last Trade Ago | 5558 |
Regression
| Alpha | 0 |
|---|---|
| Beta | -0.40 |
| Treynor Index | 0 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.03 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0.02 |
| MAE:Equity, average, losing trades | 0.05 |
| MAE:Equity, losing trades only, 95th Percentile Value for this strat | — |
| MAE:Equity, average, winning trades | 0 |
| MAE:Equity, win trades only, 95th Percentile Value for this strat | — |
| Avg(MAE) / Avg(PL) - All trades | -1.62 |
| MAE:PL (avg, all trades) | -0.45 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 11.30 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 21.60 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.60 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.06 |
| Hold-and-Hope Ratio | -0.61 |
RATIO STATISTICS
| Mean | -0.31 |
|---|---|
| SD | 0.56 |
| Sharpe ratio (Glass type estimate) | -0.56 |
| Sharpe ratio (Hedges UMVUE) | -0.55 |
| df | 38 |
| t | -1.01 |
| p | 0.84 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.65 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.54 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.64 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.55 |
| Sortino ratio | -0.56 |
| Upside Potential Ratio | 0.04 |
| Upside part of mean | 0.02 |
| Downside part of mean | -0.33 |
| Upside SD | 0.04 |
| Downside SD | 0.56 |
| N nonnegative terms | 1 |
| N negative terms | 38 |
| N of observations | 39 |
| Mean of predictor | 0.51 |
| Mean of criterion | -0.31 |
| SD of predictor | 0.28 |
| SD of criterion | 0.56 |
| Covariance | 0.02 |
| r | 0.15 |
| b (slope, estimate of beta) | 0.30 |
| a (intercept, estimate of alpha) | -0.47 |
| Mean Square Error | 0.31 |
| DF error | 37 |
| t(b) | 0.93 |
| p(b) | 0.18 |
| t(a) | -1.32 |
| p(a) | 0.90 |
| Lowerbound of 95% confidence interval for beta | -0.36 |
| Upperbound of 95% confidence interval for beta | 0.97 |
| Lowerbound of 95% confidence interval for alpha | -1.18 |
| Upperbound of 95% confidence interval for alpha | 0.25 |
| Treynor index (mean / b) | -1.02 |
| Jensen alpha (a) | -0.47 |
| Mean | -3.22 |
| SD | 5.80 |
| Sharpe ratio (Glass type estimate) | -0.56 |
| Sharpe ratio (Hedges UMVUE) | -0.54 |
| df | 38 |
| t | -1.00 |
| p | 0.84 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.65 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.54 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.64 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.55 |
| Sortino ratio | -0.56 |
| Upside Potential Ratio | 0.00 |
| Upside part of mean | 0.02 |
| Downside part of mean | -3.24 |
| Upside SD | 0.04 |
| Downside SD | 5.80 |
| N nonnegative terms | 1 |
| N negative terms | 38 |
| N of observations | 39 |
| Mean of predictor | 0.46 |
| Mean of criterion | -3.22 |
| SD of predictor | 0.27 |
| SD of criterion | 5.80 |
| Covariance | 0.25 |
| r | 0.16 |
| b (slope, estimate of beta) | 3.43 |
| a (intercept, estimate of alpha) | -4.81 |
| Mean Square Error | 33.62 |
| DF error | 37 |
| t(b) | 0.98 |
| p(b) | 0.17 |
| t(a) | -1.34 |
| p(a) | 0.91 |
| Lowerbound of 95% confidence interval for beta | -3.64 |
| Upperbound of 95% confidence interval for beta | 10.51 |
| Lowerbound of 95% confidence interval for alpha | -12.11 |
| Upperbound of 95% confidence interval for alpha | 2.49 |
| Treynor index (mean / b) | -0.94 |
| Jensen alpha (a) | -4.81 |
| VaR(95%) | 0.95 |
| Expected Shortfall on VaR | 0.97 |
| VaR(95%) | 0.10 |
| Expected Shortfall on VaR | 0.21 |
| Mean | -0.48 |
| SD | 0.61 |
| Sharpe ratio (Glass type estimate) | -0.79 |
| Sharpe ratio (Hedges UMVUE) | -0.79 |
| df | 861 |
| t | -1.43 |
| p | 0.92 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.87 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.29 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.87 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.29 |
| Sortino ratio | -0.79 |
| Upside Potential Ratio | 0.17 |
| Upside part of mean | 0.10 |
| Downside part of mean | -0.58 |
| Upside SD | 0.07 |
| Downside SD | 0.61 |
| N nonnegative terms | 21 |
| N negative terms | 841 |
| N of observations | 862 |
| Mean of predictor | 0.57 |
| Mean of criterion | -0.48 |
| SD of predictor | 0.37 |
| SD of criterion | 0.61 |
| Covariance | -0.00 |
| r | -0.01 |
| b (slope, estimate of beta) | -0.01 |
| a (intercept, estimate of alpha) | -0.47 |
| Mean Square Error | 0.37 |
| DF error | 860 |
| t(b) | -0.20 |
| p(b) | 0.58 |
| t(a) | -1.40 |
| p(a) | 0.92 |
| Lowerbound of 95% confidence interval for beta | -0.12 |
| Upperbound of 95% confidence interval for beta | 0.10 |
| Lowerbound of 95% confidence interval for alpha | -1.14 |
| Upperbound of 95% confidence interval for alpha | 0.19 |
| Treynor index (mean / b) | 43.07 |
| Jensen alpha (a) | -0.47 |
| Mean | -3.18 |
| SD | 5.37 |
| Sharpe ratio (Glass type estimate) | -0.59 |
| Sharpe ratio (Hedges UMVUE) | -0.59 |
| df | 861 |
| t | -1.07 |
| p | 0.86 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.67 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.49 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.67 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.49 |
| Sortino ratio | -0.59 |
| Upside Potential Ratio | 0.02 |
| Upside part of mean | 0.10 |
| Downside part of mean | -3.28 |
| Upside SD | 0.06 |
| Downside SD | 5.37 |
| N nonnegative terms | 21 |
| N negative terms | 841 |
| N of observations | 862 |
| Mean of predictor | 0.50 |
| Mean of criterion | -3.18 |
| SD of predictor | 0.36 |
| SD of criterion | 5.37 |
| Covariance | -0.01 |
| r | -0.01 |
| b (slope, estimate of beta) | -0.08 |
| a (intercept, estimate of alpha) | -3.14 |
| Mean Square Error | 28.92 |
| DF error | 860 |
| t(b) | -0.16 |
| p(b) | 0.56 |
| t(a) | -1.06 |
| p(a) | 0.85 |
| Lowerbound of 95% confidence interval for beta | -1.07 |
| Upperbound of 95% confidence interval for beta | 0.91 |
| Lowerbound of 95% confidence interval for alpha | -8.98 |
| Upperbound of 95% confidence interval for alpha | 2.70 |
| Treynor index (mean / b) | 39.75 |
| Jensen alpha (a) | -3.14 |
| VaR(95%) | 0.43 |
| Expected Shortfall on VaR | 0.50 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.02 |
| Mean | -0.03 |
| SD | 0 |
| Sharpe ratio (Glass type estimate) | 0 |
| Sharpe ratio (Hedges UMVUE) | 0 |
| df | 0 |
| t | 0 |
| p | 0 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0 |
| Sortino ratio | -16.19 |
| Upside Potential Ratio | 0 |
| Upside part of mean | 0 |
| Downside part of mean | -0.03 |
| Upside SD | 0 |
| Downside SD | 0.00 |
| N nonnegative terms | 0 |
| N negative terms | 131 |
| N of observations | 131 |
| Mean of predictor | 1.26 |
| Mean of criterion | -0.03 |
| SD of predictor | 0.47 |
| SD of criterion | 0 |
| Covariance | 0 |
| r | 0 |
| b (slope, estimate of beta) | 0 |
| a (intercept, estimate of alpha) | 0 |
| Mean Square Error | 0 |
| DF error | 0 |
| t(b) | 0 |
| p(b) | 0 |
| t(a) | 0 |
| p(a) | 0 |
| Lowerbound of 95% confidence interval for beta | 0 |
| Upperbound of 95% confidence interval for beta | 0 |
| Lowerbound of 95% confidence interval for alpha | 0 |
| Upperbound of 95% confidence interval for alpha | 0 |
| Treynor index (mean / b) | 0 |
| Jensen alpha (a) | 0 |
| Mean | -0.03 |
| SD | 0 |
| Sharpe ratio (Glass type estimate) | -9.74841826823373e+15 |
| Sharpe ratio (Hedges UMVUE) | -9.69206937105203e+15 |
| df | 130 |
| t | -6893172865105920 |
| p | 1 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.08701574255084e+16 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | -8513981316595712 |
| Sortino ratio | -16.19 |
| Upside Potential Ratio | 0 |
| Upside part of mean | 0 |
| Downside part of mean | -0.03 |
| Upside SD | 0 |
| Downside SD | 0.00 |
| N nonnegative terms | 0 |
| N negative terms | 131 |
| N of observations | 131 |
| Mean of predictor | 1.15 |
| Mean of criterion | -0.03 |
| SD of predictor | 0.47 |
| SD of criterion | 0 |
| Covariance | 0 |
| r | 0 |
| b (slope, estimate of beta) | 0 |
| a (intercept, estimate of alpha) | -0.03 |
| Mean Square Error | 0 |
| DF error | 129 |
| t(b) | 0 |
| p(b) | 0.50 |
| t(a) | -6787723901796352 |
| p(a) | 1 |
| Lowerbound of 95% confidence interval for beta | 0 |
| VAR (95 Confidence Intrvl) | 0.43 |
| Upperbound of 95% confidence interval for beta | 0 |
| Lowerbound of 95% confidence interval for alpha | -0.03 |
| Upperbound of 95% confidence interval for alpha | -0.03 |
| Treynor index (mean / b) | -3.43840940761613e+32 |
| Jensen alpha (a) | -0.03 |
| VaR(95%) | 0.00 |
| Expected Shortfall on VaR | 0.00 |
| VaR(95%) | 0 |
| Expected Shortfall on VaR | 0 |
ORDER STATISTICS
| Number of observations | 39 |
|---|---|
| Minimum | 0.00 |
| Quartile 1 | 1 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 1.08 |
| Mean of quarter 1 | 0.90 |
| Mean of quarter 2 | 1 |
| Mean of quarter 3 | 1 |
| Mean of quarter 4 | 1.01 |
| Inter Quartile Range | 0 |
| Number outliers low | 1 |
| Percentage of outliers low | 0.03 |
| Mean of outliers low | 0.00 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.03 |
| Mean of outliers high | 1.08 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 0 |
| VaR(95%) (regression method) | 0 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 862 |
| Minimum | 0.00 |
| Quartile 1 | 1 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 1.10 |
| Mean of quarter 1 | 0.99 |
| Mean of quarter 2 | 1 |
| Mean of quarter 3 | 1 |
| Mean of quarter 4 | 1.00 |
| Inter Quartile Range | 0 |
| Number outliers low | 16 |
| Percentage of outliers low | 0.02 |
| Mean of outliers low | 0.89 |
| Number of outliers high | 21 |
| Percentage of outliers high | 0.02 |
| Mean of outliers high | 1.02 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 1.49 |
| VaR(95%) (regression method) | -0.00 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 131 |
| Minimum | 1 |
| Quartile 1 | 1 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 1 |
| Mean of quarter 1 | 1 |
| Mean of quarter 2 | 1 |
| Mean of quarter 3 | 1 |
| Mean of quarter 4 | 1 |
| Inter Quartile Range | 0 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 0 |
| Percentage of outliers high | 0 |
| Mean of outliers high | 0 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 0 |
| VaR(95%) (regression method) | 0 |
| Expected Shortfall (regression method) | 0 |
DRAW DOWN STATISTICS
| Number of observations | 1 |
|---|---|
| Minimum | 1.00 |
| Quartile 1 | 1.00 |
| Median | 1.00 |
| Quartile 3 | 1.00 |
| Maximum | 1.00 |
| Mean of quarter 1 | 0 |
| Mean of quarter 2 | 0 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0 |
| Inter Quartile Range | 0 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 0 |
| Percentage of outliers high | 0 |
| Mean of outliers high | 0 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 0 |
| VaR(95%) (regression method) | 0 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 7 |
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.03 |
| Quartile 3 | 0.06 |
| Maximum | 1.00 |
| Mean of quarter 1 | 0.01 |
| Mean of quarter 2 | 0.02 |
| Mean of quarter 3 | 0.04 |
| Mean of quarter 4 | 0.54 |
| Inter Quartile Range | 0.05 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.14 |
| Mean of outliers high | 1.00 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 0 |
| VaR(95%) (regression method) | 0 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 0 |
| Minimum | 0 |
| Quartile 1 | 0 |
| Median | 0 |
| Quartile 3 | 0 |
| Maximum | 0 |
| Mean of quarter 1 | 0 |
| Mean of quarter 2 | 0 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0 |
| Inter Quartile Range | 0 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 0 |
| Percentage of outliers high | 0 |
| Mean of outliers high | 0 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 0 |
| VaR(95%) (regression method) | 0 |
| Expected Shortfall (regression method) | 0 |
| Strat Max DD how much worse than SP500 max DD during strat life? | -452177024 |
| Max Equity Drawdown (num days) | 2 |
| Last 4 Months - Pcnt Negative | 0.5% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | -0.31 |
|---|---|
| Compounded annual return (geometric extrapolation) | -0.96 |
| Calmar ratio (compounded annual return / max draw down) | -0.96 |
| Compounded annual return / average of 25% largest draw downs | 0 |
| Compounded annual return / Expected Shortfall lognormal | -0.99 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | -0.30 |
| Compounded annual return (geometric extrapolation) | -0.96 |
| Calmar ratio (compounded annual return / max draw down) | -0.96 |
| Compounded annual return / average of 25% largest draw downs | -1.78 |
| Compounded annual return / Expected Shortfall lognormal | -1.92 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0 |
| Compounded annual return (geometric extrapolation) | 0 |
| Calmar ratio (compounded annual return / max draw down) | 0 |
| Compounded annual return / average of 25% largest draw downs | 0 |
| Compounded annual return / Expected Shortfall lognormal | 0 |
Trading record
Placed 328 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| HRBN | short | 8000 | Jun 16, 2011 | Jun 21, 2011 | ($43,147) |
| WGO | short | 7000 | Jun 16, 2011 | Jun 16, 2011 | ($1,158) |
| WGO | short | 12000 | Jun 16, 2011 | Jun 16, 2011 | $505 |
| JDSU | short | 300 | Jun 16, 2011 | Jun 16, 2011 | ($138) |
| HOT | short | 1000 | Jun 15, 2011 | Jun 16, 2011 | ($866) |
| OI | long | 500 | Jun 15, 2011 | Jun 15, 2011 | ($65) |
| NRG | short | 2000 | Jun 15, 2011 | Jun 15, 2011 | ($197) |
| HOT | short | 1000 | Jun 15, 2011 | Jun 15, 2011 | ($145) |
| REE | long | 1000 | Jun 15, 2011 | Jun 15, 2011 | ($215) |
| CCL | short | 1000 | Jun 15, 2011 | Jun 15, 2011 | $73 |
| AVEO | short | 2000 | Jun 15, 2011 | Jun 15, 2011 | $113 |
| LO | short | 1515 | Jun 14, 2011 | Jun 14, 2011 | ($2,094) |
| HTZ | long | 4000 | Jun 14, 2011 | Jun 14, 2011 | ($290) |
| BBY | long | 1000 | Jun 14, 2011 | Jun 14, 2011 | $33 |
| SINA | long | 1050 | Jun 14, 2011 | Jun 14, 2011 | ($142) |
| KMP | short | 900 | Jun 14, 2011 | Jun 14, 2011 | ($32) |
| FDS | short | 500 | Jun 14, 2011 | Jun 14, 2011 | $85 |
| DTG | long | 900 | Jun 14, 2011 | Jun 14, 2011 | ($635) |
| DTG | short | 1000 | Jun 14, 2011 | Jun 14, 2011 | ($475) |
| SOLR | long | 1000 | Jun 14, 2011 | Jun 14, 2011 | ($155) |
| BSFT | short | 1000 | Jun 14, 2011 | Jun 14, 2011 | ($145) |
| JNPR | short | 1000 | Jun 14, 2011 | Jun 14, 2011 | ($125) |
| HPQ | short | 500 | Jun 13, 2011 | Jun 13, 2011 | $70 |
| SLGN | short | 1000 | Jun 13, 2011 | Jun 13, 2011 | $171 |
| SLGN | short | 1000 | Jun 13, 2011 | Jun 13, 2011 | $3 |
| BMS | short | 1000 | Jun 13, 2011 | Jun 13, 2011 | $5 |
| BMS | short | 1000 | Jun 13, 2011 | Jun 13, 2011 | $148 |
| PEG | long | 1000 | Jun 13, 2011 | Jun 13, 2011 | ($125) |
| AONE | short | 1000 | Jun 13, 2011 | Jun 13, 2011 | $15 |
| CDE | short | 1000 | Jun 10, 2011 | Jun 10, 2011 | ($115) |
Past results are not necessarily indicative of future results.
These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.