Multi Quant 105
- hypothetical · Annual Return (Compounded)
- -0.6%
- Max Drawdown
- 31.7%
- Trades
- 95
- Win Trades
- 53.7%
- Profit Factor
- 1.10
- Win Months
- 10.9%
About this strategy
As of April 16, 2018, this model was modified to a Dual Momentum Strategy.
Each Monday will open two selected positions of universe of 8 ETFs. These operations will be closed every Monday at 3.55pm. All positions will have a permanent Stop Loss price, which will be modified daily depending on market conditions.
This is a 100% quantitative strategy and opens the possibility of capturing high returns in the short term of the Volatility ETFs. Through the use of ETFs with a low correlation between them, we seek to identify market anomalies with a Low ratio: Risk / Reward.
The system has been backtested since 2012 and in this testing you have produced consistently profitable results. Based on this backtesting staking levels are set to target an average return of around 100% every two years.
Backtesting data is hypothetical and it has not been verified by C2.
My system generates around 200 trades a year. This is not a high frequency system, we would expect 4 trades per month on average. This is a purely mechanical system with no discretionary elements. If you wish to receive the results of the Back Testing applied to this strategy, feel free to request them.
I invite you to see an additional strategy that has been similar recording results: https://collective2.com/details/106187009.
Each Monday will open two selected positions of universe of 8 ETFs. These operations will be closed every Monday at 3.55pm. All positions will have a permanent Stop Loss price, which will be modified daily depending on market conditions.
This is a 100% quantitative strategy and opens the possibility of capturing high returns in the short term of the Volatility ETFs. Through the use of ETFs with a low correlation between them, we seek to identify market anomalies with a Low ratio: Risk / Reward.
The system has been backtested since 2012 and in this testing you have produced consistently profitable results. Based on this backtesting staking levels are set to target an average return of around 100% every two years.
Backtesting data is hypothetical and it has not been verified by C2.
My system generates around 200 trades a year. This is not a high frequency system, we would expect 4 trades per month on average. This is a purely mechanical system with no discretionary elements. If you wish to receive the results of the Back Testing applied to this strategy, feel free to request them.
I invite you to see an additional strategy that has been similar recording results: https://collective2.com/details/106187009.
Hedged Equity Momentum
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017 | -1.4 | 3.5 | 1.6 | 10.8 | 14.9 | ||||||||
| 2018 | -3.1 | -4.2 | -6.1 | -1.7 | 5.1 | 1.4 | 3.4 | 5.6 | -2.9 | -15.3 | -4.0 | -8.4 | -27.9 |
| 2019 | 12.1 | 6.0 | -1.5 | 8.0 | -3.9 | 4.4 | 1.8 | -5.4 | -5.5 | 0.0 | 0.0 | 0.0 | 15.3 |
| 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 | 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 | 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 | 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 | 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 | 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 | 0.0 |
| 2026 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Statistics
Overview
| Strategy began | 9/1/2017 |
|---|---|
| Suggested Minimum Capital | $25,000 |
| Age | 111 months |
| What it trades | Stocks |
| # Trades | 95 |
| # Profitable | 51 |
| % Profitable | 53.7% |
| Avg trade duration | 22.0 days |
| Max peak-to-valley drawdown | 31.7% |
| drawdown period | Jan 12, 2018 - Dec 27, 2018 |
| Annual Return (Compounded) | -0.6% |
| Avg win | $581 |
| Avg loss | $603 |
Ratios
| W:L ratio | 1.13 |
|---|---|
| Sharpe Ratio | -0.19 |
| Sortino Ratio | -0.25 |
| Calmar Ratio | 0.18 |
CORRELATION STATISTICS
| Correlation to SP500 | 0.19 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 210.5% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -22.6% |
Return Statistics
| Ann Return (w trading costs) | -0.6% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | -0.0% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 1.4% |
Slump
| Current Slump as Pcnt Equity | 26.6% |
|---|---|
| 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% |
| Short Options - Percent Covered | 100.0% |
| Percent Trades Stocks | 1.0% |
Risk of Ruin (Monte-Carlo)
| Chance of 10% account loss | 56.5% |
|---|---|
| Chance of 20% account loss | 22.5% |
| Chance of 30% account loss | 4.5% |
| Chance of 40% account loss | 0.0% |
| Chance of 50% account loss | 0.0% |
| Chance of 60% account loss (Monte Carlo) | 0.0% |
| Chance of 70% account loss (Monte Carlo) | 0.0% |
| Chance of 80% account loss (Monte Carlo) | 0.0% |
| Chance of 90% account loss (Monte Carlo) | 0.0% |
Automation
| Percentage Signals Automated | 1.7% |
|---|
Popularity
| Popularity (Today) | 0 |
|---|---|
| Popularity (Last 6 weeks) | 579 |
| Popularity (7 days, Percentile 1000 scale) | 0 |
Trading Style
| Any stock shorts? 0/1 | 0 |
|---|
Trades-Own-System Certification
| Trades Own System? | 0 |
|---|---|
| TOS percent | 0.0% |
Win / Loss
| Avg Loss | $603 |
|---|---|
| Avg Win | $581 |
| # Winners | 51 |
| Sum Trade PL (losers) | $26,548 |
| Sum Trade PL (winners) | $29,617 |
| Num Months Winners | 12 |
| # Losers | 44 |
| % Winners | 53.7% |
Dividends
| Dividends Received in Model Acct | 268 |
|---|
Age
| Num Months filled monthly returns table | 110 |
|---|
Frequency
| Avg Position Time (mins) | 31705.98 |
|---|---|
| Avg Position Time (hrs) | 528.43 |
| Avg Trade Length | 22 |
| Last Trade Ago | 2585 |
Leverage
| Daily leverage (average) | 2.17 |
|---|---|
| Daily leverage (max) | 3.20 |
Regression
| Alpha | -0.01 |
|---|---|
| Beta | 0.10 |
| Treynor Index | -0.06 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.03 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0.09 |
| MAE:Equity, average, losing trades | 0.04 |
| MAE:Equity, losing trades only, 95th Percentile Value for this strat | — |
| MAE:Equity, average, winning trades | 0.02 |
| MAE:Equity, win trades only, 95th Percentile Value for this strat | — |
| Avg(MAE) / Avg(PL) - All trades | 44.10 |
| MAE:PL (avg, all trades) | 0.99 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 37.43 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 67.12 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.83 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.46 |
| Hold-and-Hope Ratio | 0.02 |
RATIO STATISTICS
| Mean | 0.06 |
|---|---|
| SD | 0.22 |
| Sharpe ratio (Glass type estimate) | 0.25 |
| Sharpe ratio (Hedges UMVUE) | 0.25 |
| df | 23 |
| t | 0.36 |
| p | 0.36 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.14 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.64 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.14 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.63 |
| Sortino ratio | 0.39 |
| Upside Potential Ratio | 2.36 |
| Upside part of mean | 0.34 |
| Downside part of mean | -0.28 |
| Upside SD | 0.16 |
| Downside SD | 0.14 |
| N nonnegative terms | 13 |
| N negative terms | 11 |
| N of observations | 24 |
| Mean of predictor | 0.07 |
| Mean of criterion | 0.06 |
| SD of predictor | 0.12 |
| SD of criterion | 0.22 |
| Covariance | 0.02 |
| r | 0.78 |
| b (slope, estimate of beta) | 1.48 |
| a (intercept, estimate of alpha) | -0.05 |
| Mean Square Error | 0.02 |
| DF error | 22 |
| t(b) | 5.88 |
| p(b) | 0 |
| t(a) | -0.54 |
| p(a) | 0.70 |
| Lowerbound of 95% confidence interval for beta | 0.96 |
| Upperbound of 95% confidence interval for beta | 2.00 |
| Lowerbound of 95% confidence interval for alpha | -0.26 |
| Upperbound of 95% confidence interval for alpha | 0.15 |
| Treynor index (mean / b) | 0.04 |
| Jensen alpha (a) | -0.05 |
| Mean | 0.03 |
| SD | 0.22 |
| Sharpe ratio (Glass type estimate) | 0.15 |
| Sharpe ratio (Hedges UMVUE) | 0.14 |
| df | 23 |
| t | 0.21 |
| p | 0.42 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.24 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.53 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.24 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.53 |
| Sortino ratio | 0.22 |
| Upside Potential Ratio | 2.18 |
| Upside part of mean | 0.32 |
| Downside part of mean | -0.29 |
| Upside SD | 0.15 |
| Downside SD | 0.15 |
| N nonnegative terms | 13 |
| N negative terms | 11 |
| N of observations | 24 |
| Mean of predictor | 0.07 |
| Mean of criterion | 0.03 |
| SD of predictor | 0.12 |
| SD of criterion | 0.22 |
| Covariance | 0.02 |
| r | 0.79 |
| b (slope, estimate of beta) | 1.48 |
| a (intercept, estimate of alpha) | -0.07 |
| Mean Square Error | 0.02 |
| DF error | 22 |
| t(b) | 6.04 |
| p(b) | 0 |
| t(a) | -0.69 |
| p(a) | 0.75 |
| Lowerbound of 95% confidence interval for beta | 0.97 |
| Upperbound of 95% confidence interval for beta | 1.98 |
| Lowerbound of 95% confidence interval for alpha | -0.27 |
| Upperbound of 95% confidence interval for alpha | 0.14 |
| Treynor index (mean / b) | 0.02 |
| Jensen alpha (a) | -0.07 |
| VaR(95%) | 0.10 |
| Expected Shortfall on VaR | 0.12 |
| VaR(95%) | 0.05 |
| Expected Shortfall on VaR | 0.09 |
| Mean | 0.05 |
| SD | 0.17 |
| Sharpe ratio (Glass type estimate) | 0.27 |
| Sharpe ratio (Hedges UMVUE) | 0.27 |
| df | 525 |
| t | 0.39 |
| p | 0.35 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.11 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.66 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.11 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.66 |
| Sortino ratio | 0.36 |
| Upside Potential Ratio | 8.03 |
| Upside part of mean | 1.07 |
| Downside part of mean | -1.02 |
| Upside SD | 0.11 |
| Downside SD | 0.13 |
| N nonnegative terms | 305 |
| N negative terms | 221 |
| N of observations | 526 |
| Mean of predictor | 0.08 |
| Mean of criterion | 0.05 |
| SD of predictor | 0.15 |
| SD of criterion | 0.17 |
| Covariance | 0.01 |
| r | 0.46 |
| b (slope, estimate of beta) | 0.55 |
| a (intercept, estimate of alpha) | -0.01 |
| Mean Square Error | 0.02 |
| DF error | 524 |
| t(b) | 11.88 |
| p(b) | 0 |
| t(a) | 0.04 |
| p(a) | 0.48 |
| Lowerbound of 95% confidence interval for beta | 0.46 |
| Upperbound of 95% confidence interval for beta | 0.64 |
| Lowerbound of 95% confidence interval for alpha | -0.21 |
| Upperbound of 95% confidence interval for alpha | 0.22 |
| Treynor index (mean / b) | 0.09 |
| Jensen alpha (a) | 0.00 |
| Mean | 0.03 |
| SD | 0.17 |
| Sharpe ratio (Glass type estimate) | 0.19 |
| Sharpe ratio (Hedges UMVUE) | 0.19 |
| df | 525 |
| t | 0.26 |
| p | 0.40 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.20 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.57 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.20 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.57 |
| Sortino ratio | 0.24 |
| Upside Potential Ratio | 7.89 |
| Upside part of mean | 1.06 |
| Downside part of mean | -1.03 |
| Upside SD | 0.11 |
| Downside SD | 0.13 |
| N nonnegative terms | 305 |
| N negative terms | 221 |
| N of observations | 526 |
| Mean of predictor | 0.07 |
| Mean of criterion | 0.03 |
| SD of predictor | 0.15 |
| SD of criterion | 0.17 |
| Covariance | 0.01 |
| r | 0.46 |
| b (slope, estimate of beta) | 0.55 |
| a (intercept, estimate of alpha) | -0.01 |
| Mean Square Error | 0.02 |
| DF error | 524 |
| t(b) | 11.93 |
| p(b) | 0 |
| t(a) | -0.05 |
| p(a) | 0.52 |
| Lowerbound of 95% confidence interval for beta | 0.46 |
| Upperbound of 95% confidence interval for beta | 0.64 |
| Lowerbound of 95% confidence interval for alpha | -0.22 |
| Upperbound of 95% confidence interval for alpha | 0.21 |
| Treynor index (mean / b) | 0.06 |
| Jensen alpha (a) | -0.01 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.02 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.02 |
| Mean | 0.02 |
| SD | 0.19 |
| Sharpe ratio (Glass type estimate) | 0.09 |
| Sharpe ratio (Hedges UMVUE) | 0.09 |
| df | 130 |
| t | 0.06 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.68 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.86 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.68 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.86 |
| Sortino ratio | 0.11 |
| Upside Potential Ratio | 7.16 |
| Upside part of mean | 1.08 |
| Downside part of mean | -1.07 |
| Upside SD | 0.11 |
| Downside SD | 0.15 |
| N nonnegative terms | 82 |
| N negative terms | 49 |
| N of observations | 131 |
| Mean of predictor | 0.12 |
| Mean of criterion | 0.02 |
| SD of predictor | 0.14 |
| SD of criterion | 0.19 |
| Covariance | 0.01 |
| r | 0.50 |
| b (slope, estimate of beta) | 0.68 |
| a (intercept, estimate of alpha) | -0.06 |
| Mean Square Error | 0.03 |
| DF error | 129 |
| t(b) | 6.54 |
| p(b) | 0.20 |
| t(a) | -0.27 |
| p(a) | 0.52 |
| Lowerbound of 95% confidence interval for beta | 0.47 |
| Upperbound of 95% confidence interval for beta | 0.88 |
| Lowerbound of 95% confidence interval for alpha | -0.51 |
| Upperbound of 95% confidence interval for alpha | 0.39 |
| Treynor index (mean / b) | 0.02 |
| Jensen alpha (a) | -0.06 |
| Mean | -0.00 |
| SD | 0.19 |
| Sharpe ratio (Glass type estimate) | -0.00 |
| Sharpe ratio (Hedges UMVUE) | -0.00 |
| df | 130 |
| t | -0.00 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.77 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.77 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.77 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.77 |
| Sortino ratio | -0.00 |
| Upside Potential Ratio | 7.02 |
| Upside part of mean | 1.08 |
| Downside part of mean | -1.08 |
| Upside SD | 0.11 |
| Downside SD | 0.15 |
| N nonnegative terms | 82 |
| N negative terms | 49 |
| N of observations | 131 |
| Mean of predictor | 0.11 |
| Mean of criterion | -0.00 |
| SD of predictor | 0.14 |
| SD of criterion | 0.19 |
| Covariance | 0.01 |
| r | 0.50 |
| b (slope, estimate of beta) | 0.68 |
| a (intercept, estimate of alpha) | -0.07 |
| Mean Square Error | 0.03 |
| DF error | 129 |
| t(b) | 6.53 |
| p(b) | 0.20 |
| t(a) | -0.32 |
| p(a) | 0.52 |
| Lowerbound of 95% confidence interval for beta | 0.47 |
| VAR (95 Confidence Intrvl) | 0.01 |
| Upperbound of 95% confidence interval for beta | 0.88 |
| Lowerbound of 95% confidence interval for alpha | -0.53 |
| Upperbound of 95% confidence interval for alpha | 0.38 |
| Treynor index (mean / b) | -0.00 |
| Jensen alpha (a) | -0.07 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.02 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.02 |
ORDER STATISTICS
| Number of observations | 24 |
|---|---|
| Minimum | 0.90 |
| Quartile 1 | 0.96 |
| Median | 1.02 |
| Quartile 3 | 1.04 |
| Maximum | 1.14 |
| Mean of quarter 1 | 0.93 |
| Mean of quarter 2 | 0.99 |
| Mean of quarter 3 | 1.03 |
| Mean of quarter 4 | 1.08 |
| Inter Quartile Range | 0.08 |
| 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) | -2.28 |
| VaR(95%) (moments method) | 0.08 |
| Expected Shortfall (moments method) | 0.08 |
| Extreme Value Index (regression method) | -1.87 |
| VaR(95%) (regression method) | 0.10 |
| Expected Shortfall (regression method) | 0.11 |
| Number of observations | 526 |
| Minimum | 0.96 |
| Quartile 1 | 1.00 |
| Median | 1.00 |
| Quartile 3 | 1.01 |
| Maximum | 1.04 |
| Mean of quarter 1 | 0.99 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.01 |
| Inter Quartile Range | 0.01 |
| Number outliers low | 24 |
| Percentage of outliers low | 0.05 |
| Mean of outliers low | 0.97 |
| Number of outliers high | 6 |
| Percentage of outliers high | 0.01 |
| Mean of outliers high | 1.03 |
| Extreme Value Index (moments method) | -0.03 |
| VaR(95%) (moments method) | 0.01 |
| Expected Shortfall (moments method) | 0.02 |
| Extreme Value Index (regression method) | -0.21 |
| VaR(95%) (regression method) | 0.01 |
| Expected Shortfall (regression method) | 0.02 |
| Number of observations | 131 |
| Minimum | 0.96 |
| Quartile 1 | 1.00 |
| Median | 1.00 |
| Quartile 3 | 1.01 |
| Maximum | 1.03 |
| Mean of quarter 1 | 0.98 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.01 |
| Inter Quartile Range | 0.01 |
| Number outliers low | 8 |
| Percentage of outliers low | 0.06 |
| Mean of outliers low | 0.97 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.01 |
| Mean of outliers high | 1.03 |
| Extreme Value Index (moments method) | 0.17 |
| VaR(95%) (moments method) | 0.01 |
| Expected Shortfall (moments method) | 0.02 |
| Extreme Value Index (regression method) | -0.06 |
| VaR(95%) (regression method) | 0.02 |
| Expected Shortfall (regression method) | 0.03 |
DRAW DOWN STATISTICS
| Number of observations | 3 |
|---|---|
| Minimum | 0.00 |
| Quartile 1 | 0.06 |
| Median | 0.11 |
| Quartile 3 | 0.16 |
| Maximum | 0.21 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.11 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0.21 |
| Inter Quartile Range | 0.10 |
| 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 | 14 |
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.02 |
| Quartile 3 | 0.04 |
| Maximum | 0.25 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.03 |
| Mean of quarter 4 | 0.15 |
| Inter Quartile Range | 0.03 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 3 |
| Percentage of outliers high | 0.21 |
| Mean of outliers high | 0.19 |
| Extreme Value Index (moments method) | -13.70 |
| VaR(95%) (moments method) | 0.11 |
| Expected Shortfall (moments method) | 0.11 |
| Extreme Value Index (regression method) | -1.30 |
| VaR(95%) (regression method) | 0.28 |
| Expected Shortfall (regression method) | 0.29 |
| Number of observations | 8 |
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.02 |
| Quartile 3 | 0.06 |
| Maximum | 0.13 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.02 |
| Mean of quarter 3 | 0.04 |
| Mean of quarter 4 | 0.11 |
| Inter Quartile Range | 0.05 |
| 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? | -27 |
| Max Equity Drawdown (num days) | 349 |
| Last 4 Months - Pcnt Negative | 0.0% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | 0.06 |
|---|---|
| Compounded annual return (geometric extrapolation) | 0.06 |
| Calmar ratio (compounded annual return / max draw down) | 0.30 |
| Compounded annual return / average of 25% largest draw downs | 0.30 |
| Compounded annual return / Expected Shortfall lognormal | 0.52 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.06 |
| Compounded annual return (geometric extrapolation) | 0.06 |
| Calmar ratio (compounded annual return / max draw down) | 0.25 |
| Compounded annual return / average of 25% largest draw downs | 0.41 |
| Compounded annual return / Expected Shortfall lognormal | 2.84 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.03 |
| Compounded annual return (geometric extrapolation) | 0.03 |
| Calmar ratio (compounded annual return / max draw down) | 0.21 |
| Compounded annual return / average of 25% largest draw downs | 0.26 |
| Compounded annual return / Expected Shortfall lognormal | 1.19 |
Trading record
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| TMF | long | 403 | Aug 12, 2019 | Sep 16, 2019 | ($1,318) |
| SPXL | long | 270 | Sep 3, 2019 | Sep 16, 2019 | $1,404 |
| TQQQ | long | 216 | Aug 12, 2019 | Sep 3, 2019 | $87 |
| SVXY | long | 244 | Jul 30, 2019 | Aug 12, 2019 | ($1,981) |
| SPXL | long | 257 | Jul 30, 2019 | Aug 12, 2019 | ($1,783) |
| SPXL | long | 250 | Jul 1, 2019 | Jul 30, 2019 | $673 |
| SVXY | long | 239 | Jun 28, 2019 | Jul 30, 2019 | $1,011 |
| TMF | long | 521 | Jun 24, 2019 | Jul 1, 2019 | ($131) |
| SPXL | long | 246 | Jun 24, 2019 | Jun 28, 2019 | ($310) |
| TMF | long | 567 | May 29, 2019 | Jun 24, 2019 | $746 |
| SVXY | long | 246 | Jun 10, 2019 | Jun 24, 2019 | $331 |
| ZIV | long | 179 | Jun 3, 2019 | Jun 10, 2019 | $683 |
| SVXY | long | 245 | May 29, 2019 | Jun 3, 2019 | ($147) |
| ZIV | long | 164 | May 21, 2019 | May 28, 2019 | ($239) |
| TMF | long | 569 | May 13, 2019 | May 28, 2019 | $850 |
| SVXY | long | 238 | May 13, 2019 | May 21, 2019 | $714 |
| SPXL | long | 249 | Apr 10, 2019 | May 9, 2019 | ($622) |
| TQQQ | long | 212 | Mar 25, 2019 | May 7, 2019 | $1,191 |
| TMF | long | 597 | Mar 25, 2019 | Apr 10, 2019 | ($178) |
| SVXY | long | 228 | Mar 18, 2019 | Mar 25, 2019 | ($767) |
| TQQQ | long | 219 | Mar 18, 2019 | Mar 25, 2019 | ($339) |
| SPXL | long | 265 | Mar 12, 2019 | Mar 18, 2019 | $464 |
| ZIV | long | 117 | Feb 26, 2019 | Mar 18, 2019 | $204 |
| SVXY | long | 170 | Feb 26, 2019 | Mar 8, 2019 | ($355) |
| SHY | long | 82 | Feb 4, 2019 | Mar 1, 2019 | ($4) |
| SPXL | long | 194 | Feb 4, 2019 | Feb 26, 2019 | $710 |
| ZIV | long | 115 | Feb 4, 2019 | Feb 26, 2019 | $489 |
| TQQQ | long | 247 | Jan 28, 2019 | Feb 4, 2019 | $1,267 |
| SPXL | long | 279 | Jan 28, 2019 | Feb 4, 2019 | $931 |
| ZIV | long | 170 | Dec 26, 2018 | Jan 28, 2019 | $1,027 |
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.