XessIVol
- hypothetical · Annual Return (Compounded)
- 11.0%
- Max Drawdown
- 44.0%
- Trades
- 29
- Win Trades
- 89.7%
- Profit Factor
- 3.50
- Win Months
- 62.6%
About this strategy
*** General description ***
The excess volatility implied in options premium has been and continues to be a good fount of added value. As managing an options portfolio is always a challenge, our team closely manage the risk and continuously apply strict risk management rules (defined before the trade entry) regarding stop losses levels and global exposures.
In addition to this strategy on options market, we have discovered some cyclical and structural negative bias in the pricing of various financial instruments. Our investment team has built a long/short sub-portfolio with these instruments which is expected to generate a good risk/reward profiled PnL.
*** Asset allocation purpose ***
From an investor's point of view, XessIVol structure seeks to offer a complement to the traditional equity - fixed income portfolio strategy, in an attempt to contribute to the overall portfolio performance while reducing its volatility.
The strategy is structured trough the Collective2 platform as an individual managed account, and is not appropriate for all investors. With the assistance of its financial advisor, the client will have to define its investment objectives and confirm its interest for this vehicle.
*** Disclaimer ***
We want to inform the investor that our signal generating system can maintain the strategy off the market for long periods (from few days to few months) in certain market's conditions.
The investment management team will not be blamed for not investing during these periods, as by the nature of volatility markets, most interesting entry levels usually emerge after inactivity periods.
The excess volatility implied in options premium has been and continues to be a good fount of added value. As managing an options portfolio is always a challenge, our team closely manage the risk and continuously apply strict risk management rules (defined before the trade entry) regarding stop losses levels and global exposures.
In addition to this strategy on options market, we have discovered some cyclical and structural negative bias in the pricing of various financial instruments. Our investment team has built a long/short sub-portfolio with these instruments which is expected to generate a good risk/reward profiled PnL.
*** Asset allocation purpose ***
From an investor's point of view, XessIVol structure seeks to offer a complement to the traditional equity - fixed income portfolio strategy, in an attempt to contribute to the overall portfolio performance while reducing its volatility.
The strategy is structured trough the Collective2 platform as an individual managed account, and is not appropriate for all investors. With the assistance of its financial advisor, the client will have to define its investment objectives and confirm its interest for this vehicle.
*** Disclaimer ***
We want to inform the investor that our signal generating system can maintain the strategy off the market for long periods (from few days to few months) in certain market's conditions.
The investment management team will not be blamed for not investing during these periods, as by the nature of volatility markets, most interesting entry levels usually emerge after inactivity periods.
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015 | -3.6 | 40.0 | 7.2 | 15.3 | 3.7 | 0.6 | 5.0 | -3.7 | -2.9 | 9.2 | -2.8 | 3.1 | 87.0 |
| 2016 | -1.4 | -2.6 | 17.7 | 0.4 | 5.3 | -2.8 | 6.2 | 1.3 | 4.3 | 0.9 | 3.5 | -0.3 | 35.7 |
| 2017 | -0.3 | -0.3 | 1.2 | 2.6 | 0.5 | -2.4 | 8.9 | -3.3 | 6.3 | 6.3 | 1.9 | 3.2 | 26.7 |
| 2018 | -3.4 | -29.7 | -1.4 | 1.7 | 1.9 | -0.7 | 2.3 | 1.4 | 1.6 | -7.7 | 2.2 | -4.1 | -34.3 |
| 2019 | 2.2 | 2.7 | 1.0 | 2.6 | -0.2 | 0.0 | -3.4 | 3.9 | 0.2 | 5.7 | 1.3 | 15.2 | |
| 2020 | 0.4 | -9.4 | -13.8 | 0.5 | 2.0 | -3.2 | 2.8 | 1.6 | -0.4 | 0.3 | 4.4 | 0.3 | -14.9 |
| 2021 | -4.1 | 3.4 | 5.0 | 2.0 | 1.4 | 2.8 | -1.0 | 2.8 | -2.5 | 5.4 | -2.9 | 0.4 | 13.0 |
| 2022 | -3.0 | -1.2 | 2.4 | -5.2 | 0.8 | -0.3 | 3.2 | -0.6 | -3.0 | 2.1 | 4.1 | 0.8 | -0.2 |
| 2023 | 4.6 | -1.9 | -0.6 | 3.1 | 2.8 | 8.4 | 1.9 | 1.2 | -1.6 | -4.8 | 11.0 | 3.0 | 29.5 |
| 2024 | 1.7 | 1.3 | 1.7 | -1.2 | 3.4 | 2.3 | -4.4 | -3.5 | -2.8 | -4.1 | 5.3 | 2.1 | 1.3 |
| 2025 | -1.2 | -3.1 | -3.5 | -10.9 | 3.8 | 1.6 | 6.1 | 3.6 | 1.5 | 0.6 | -0.4 | 2.3 | -0.8 |
| 2026 | 1.6 | -1.6 | -5.1 | 0.0 | 7.8 | -0.3 | 5.0 | 0.9 | 10.6 |
Statistics
Overview
| Strategy began | 1/14/2015 |
|---|---|
| Suggested Minimum Capital | $25,000 |
| Age | 142 months |
| What it trades | Stocks, Options |
| # Trades | 29 |
| # Profitable | 26 |
| % Profitable | 89.7% |
| Avg trade duration | 136.1 days |
| Max peak-to-valley drawdown | 44.0% |
| drawdown period | Jan 22, 2018 - March 19, 2020 |
| Annual Return (Compounded) | 11.0% |
| Avg win | $3,585 |
| Avg loss | $8,955 |
Ratios
| W:L ratio | 3.47 |
|---|---|
| Sharpe Ratio | 0.50 |
| Sortino Ratio | 0.64 |
| Calmar Ratio | 0.86 |
CORRELATION STATISTICS
| Correlation to SP500 | 0.56 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 281.4% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -44.8% |
Return Statistics
| Ann Return (w trading costs) | 11.0% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | 0.1% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 11.7% |
Slump
| Current Slump as Pcnt Equity | 0.0% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 0.0% |
Instruments
| Percent Trades Forex | 0.0% |
|---|---|
| Percent Trades Futures | 0.0% |
| Percent Trades Options | 0.2% |
| Percent Trades Stocks | 0.8% |
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 | 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 | 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 | $8,955 |
|---|---|
| Avg Win | $3,585 |
| # Winners | 26 |
| Sum Trade PL (losers) | $26,865 |
| Sum Trade PL (winners) | $93,211 |
| Num Months Winners | 87 |
| # Losers | 3 |
| % Winners | 89.7% |
Dividends
| Dividends Received in Model Acct | 0 |
|---|
Age
| Num Months filled monthly returns table | 141 |
|---|
Frequency
| Avg Position Time (mins) | 195932.91 |
|---|---|
| Avg Position Time (hrs) | 3265.55 |
| Avg Trade Length | 136.10 |
| Last Trade Ago | 3119 |
Regression
| Alpha | 0.01 |
|---|---|
| Beta | 0.60 |
| Treynor Index | 0.05 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.05 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0.46 |
| MAE:Equity, average, losing trades | 0.25 |
| MAE:Equity, losing trades only, 95th Percentile Value for this strat | — |
| MAE:Equity, average, winning trades | 0.04 |
| MAE:Equity, win trades only, 95th Percentile Value for this strat | — |
| Avg(MAE) / Avg(PL) - All trades | 1.10 |
| MAE:PL (avg, all trades) | 2.39 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 8.85 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 61.76 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.48 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.03 |
| Hold-and-Hope Ratio | 0.58 |
RATIO STATISTICS
| Mean | 0.31 |
|---|---|
| SD | 0.27 |
| Sharpe ratio (Glass type estimate) | 1.14 |
| Sharpe ratio (Hedges UMVUE) | 1.13 |
| df | 51 |
| t | 2.38 |
| p | 0.01 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.17 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.10 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.16 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.09 |
| Sortino ratio | 1.91 |
| Upside Potential Ratio | 3.04 |
| Upside part of mean | 0.49 |
| Downside part of mean | -0.18 |
| Upside SD | 0.23 |
| Downside SD | 0.16 |
| N nonnegative terms | 37 |
| N negative terms | 15 |
| N of observations | 52 |
| Mean of predictor | 0.31 |
| Mean of criterion | 0.31 |
| SD of predictor | 0.26 |
| SD of criterion | 0.27 |
| Covariance | 0.02 |
| r | 0.36 |
| b (slope, estimate of beta) | 0.37 |
| a (intercept, estimate of alpha) | 0.19 |
| Mean Square Error | 0.06 |
| DF error | 50 |
| t(b) | 2.71 |
| p(b) | 0.00 |
| t(a) | 1.47 |
| p(a) | 0.07 |
| Lowerbound of 95% confidence interval for beta | 0.10 |
| Upperbound of 95% confidence interval for beta | 0.65 |
| Lowerbound of 95% confidence interval for alpha | -0.07 |
| Upperbound of 95% confidence interval for alpha | 0.45 |
| Treynor index (mean / b) | 0.82 |
| Jensen alpha (a) | 0.19 |
| Mean | 0.27 |
| SD | 0.27 |
| Sharpe ratio (Glass type estimate) | 0.98 |
| Sharpe ratio (Hedges UMVUE) | 0.97 |
| df | 51 |
| t | 2.04 |
| p | 0.02 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.01 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.94 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.01 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.93 |
| Sortino ratio | 1.47 |
| Upside Potential Ratio | 2.54 |
| Upside part of mean | 0.46 |
| Downside part of mean | -0.20 |
| Upside SD | 0.21 |
| Downside SD | 0.18 |
| N nonnegative terms | 37 |
| N negative terms | 15 |
| N of observations | 52 |
| Mean of predictor | 0.28 |
| Mean of criterion | 0.27 |
| SD of predictor | 0.24 |
| SD of criterion | 0.27 |
| Covariance | 0.02 |
| r | 0.38 |
| b (slope, estimate of beta) | 0.43 |
| a (intercept, estimate of alpha) | 0.15 |
| Mean Square Error | 0.07 |
| DF error | 50 |
| t(b) | 2.89 |
| p(b) | 0.00 |
| t(a) | 1.12 |
| p(a) | 0.13 |
| Lowerbound of 95% confidence interval for beta | 0.13 |
| Upperbound of 95% confidence interval for beta | 0.74 |
| Lowerbound of 95% confidence interval for alpha | -0.12 |
| Upperbound of 95% confidence interval for alpha | 0.41 |
| Treynor index (mean / b) | 0.62 |
| Jensen alpha (a) | 0.15 |
| VaR(95%) | 0.10 |
| Expected Shortfall on VaR | 0.13 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.05 |
| Mean | 0.31 |
| SD | 0.27 |
| Sharpe ratio (Glass type estimate) | 1.16 |
| Sharpe ratio (Hedges UMVUE) | 1.16 |
| df | 1135 |
| t | 2.41 |
| p | 0.45 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.21 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.10 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.21 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.10 |
| Sortino ratio | 1.51 |
| Upside Potential Ratio | 6.42 |
| Upside part of mean | 1.31 |
| Downside part of mean | -1.00 |
| Upside SD | 0.17 |
| Downside SD | 0.20 |
| N nonnegative terms | 518 |
| N negative terms | 618 |
| N of observations | 1136 |
| Mean of predictor | 0.32 |
| Mean of criterion | 0.31 |
| SD of predictor | 0.26 |
| SD of criterion | 0.27 |
| Covariance | 0.04 |
| r | 0.60 |
| b (slope, estimate of beta) | 0.62 |
| a (intercept, estimate of alpha) | 0.11 |
| Mean Square Error | 0.04 |
| DF error | 1134 |
| t(b) | 25.54 |
| p(b) | 0.20 |
| t(a) | 1.09 |
| p(a) | 0.48 |
| Lowerbound of 95% confidence interval for beta | 0.57 |
| Upperbound of 95% confidence interval for beta | 0.67 |
| Lowerbound of 95% confidence interval for alpha | -0.09 |
| Upperbound of 95% confidence interval for alpha | 0.31 |
| Treynor index (mean / b) | 0.49 |
| Jensen alpha (a) | 0.11 |
| Mean | 0.27 |
| SD | 0.27 |
| Sharpe ratio (Glass type estimate) | 0.99 |
| Sharpe ratio (Hedges UMVUE) | 0.99 |
| df | 1135 |
| t | 2.05 |
| p | 0.46 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.04 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.93 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.04 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.93 |
| Sortino ratio | 1.25 |
| Upside Potential Ratio | 5.98 |
| Upside part of mean | 1.30 |
| Downside part of mean | -1.03 |
| Upside SD | 0.17 |
| Downside SD | 0.22 |
| N nonnegative terms | 518 |
| N negative terms | 618 |
| N of observations | 1136 |
| Mean of predictor | 0.28 |
| Mean of criterion | 0.27 |
| SD of predictor | 0.26 |
| SD of criterion | 0.27 |
| Covariance | 0.04 |
| r | 0.61 |
| b (slope, estimate of beta) | 0.63 |
| a (intercept, estimate of alpha) | 0.09 |
| Mean Square Error | 0.05 |
| DF error | 1134 |
| t(b) | 25.65 |
| p(b) | 0.20 |
| t(a) | 0.87 |
| p(a) | 0.49 |
| Lowerbound of 95% confidence interval for beta | 0.59 |
| Upperbound of 95% confidence interval for beta | 0.68 |
| Lowerbound of 95% confidence interval for alpha | -0.11 |
| Upperbound of 95% confidence interval for alpha | 0.30 |
| Treynor index (mean / b) | 0.43 |
| Jensen alpha (a) | 0.09 |
| VaR(95%) | 0.03 |
| Expected Shortfall on VaR | 0.03 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.02 |
| Mean | 0.73 |
| SD | 0.41 |
| Sharpe ratio (Glass type estimate) | 1.79 |
| Sharpe ratio (Hedges UMVUE) | 1.78 |
| df | 130 |
| t | 1.27 |
| p | 0.44 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.99 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.57 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.00 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 4.56 |
| Sortino ratio | 2.63 |
| Upside Potential Ratio | 10.02 |
| Upside part of mean | 2.77 |
| Downside part of mean | -2.04 |
| Upside SD | 0.30 |
| Downside SD | 0.28 |
| N nonnegative terms | 75 |
| N negative terms | 56 |
| N of observations | 131 |
| Mean of predictor | 1.21 |
| Mean of criterion | 0.73 |
| SD of predictor | 0.46 |
| SD of criterion | 0.41 |
| Covariance | 0.14 |
| r | 0.73 |
| b (slope, estimate of beta) | 0.64 |
| a (intercept, estimate of alpha) | -0.05 |
| Mean Square Error | 0.08 |
| DF error | 129 |
| t(b) | 12.09 |
| p(b) | 0.08 |
| t(a) | -0.11 |
| p(a) | 0.51 |
| Lowerbound of 95% confidence interval for beta | 0.53 |
| Upperbound of 95% confidence interval for beta | 0.74 |
| Lowerbound of 95% confidence interval for alpha | -0.84 |
| Upperbound of 95% confidence interval for alpha | 0.75 |
| Treynor index (mean / b) | 1.14 |
| Jensen alpha (a) | -0.05 |
| Mean | 0.65 |
| SD | 0.41 |
| Sharpe ratio (Glass type estimate) | 1.58 |
| Sharpe ratio (Hedges UMVUE) | 1.57 |
| df | 130 |
| t | 1.12 |
| p | 0.45 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.20 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.36 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.21 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 4.35 |
| Sortino ratio | 2.27 |
| Upside Potential Ratio | 9.58 |
| Upside part of mean | 2.73 |
| Downside part of mean | -2.08 |
| Upside SD | 0.29 |
| Downside SD | 0.28 |
| N nonnegative terms | 75 |
| N negative terms | 56 |
| N of observations | 131 |
| Mean of predictor | 1.10 |
| Mean of criterion | 0.65 |
| SD of predictor | 0.46 |
| SD of criterion | 0.41 |
| Covariance | 0.14 |
| r | 0.72 |
| b (slope, estimate of beta) | 0.64 |
| a (intercept, estimate of alpha) | -0.06 |
| Mean Square Error | 0.08 |
| DF error | 129 |
| t(b) | 11.95 |
| p(b) | 0.08 |
| t(a) | -0.16 |
| p(a) | 0.51 |
| Lowerbound of 95% confidence interval for beta | 0.54 |
| VAR (95 Confidence Intrvl) | 0.03 |
| Upperbound of 95% confidence interval for beta | 0.75 |
| Lowerbound of 95% confidence interval for alpha | -0.86 |
| Upperbound of 95% confidence interval for alpha | 0.73 |
| Treynor index (mean / b) | 1.00 |
| Jensen alpha (a) | -0.06 |
| VaR(95%) | 0.04 |
| Expected Shortfall on VaR | 0.05 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.03 |
ORDER STATISTICS
| Number of observations | 52 |
|---|---|
| Minimum | 0.72 |
| Quartile 1 | 1 |
| Median | 1.03 |
| Quartile 3 | 1.06 |
| Maximum | 1.26 |
| Mean of quarter 1 | 0.94 |
| Mean of quarter 2 | 1.01 |
| Mean of quarter 3 | 1.04 |
| Mean of quarter 4 | 1.12 |
| Inter Quartile Range | 0.06 |
| Number outliers low | 2 |
| Percentage of outliers low | 0.04 |
| Mean of outliers low | 0.79 |
| Number of outliers high | 4 |
| Percentage of outliers high | 0.08 |
| Mean of outliers high | 1.18 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 0.43 |
| VaR(95%) (regression method) | 0.04 |
| Expected Shortfall (regression method) | 0.09 |
| Number of observations | 1136 |
| Minimum | 0.80 |
| Quartile 1 | 1.00 |
| Median | 1 |
| Quartile 3 | 1.01 |
| Maximum | 1.07 |
| Mean of quarter 1 | 0.99 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.02 |
| Inter Quartile Range | 0.01 |
| Number outliers low | 97 |
| Percentage of outliers low | 0.09 |
| Mean of outliers low | 0.97 |
| Number of outliers high | 92 |
| Percentage of outliers high | 0.08 |
| Mean of outliers high | 1.03 |
| Extreme Value Index (moments method) | 0.52 |
| VaR(95%) (moments method) | 0.01 |
| Expected Shortfall (moments method) | 0.02 |
| Extreme Value Index (regression method) | 0.24 |
| VaR(95%) (regression method) | 0.01 |
| Expected Shortfall (regression method) | 0.02 |
| Number of observations | 131 |
| Minimum | 0.90 |
| Quartile 1 | 0.99 |
| Median | 1.00 |
| Quartile 3 | 1.02 |
| Maximum | 1.07 |
| Mean of quarter 1 | 0.97 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.01 |
| Mean of quarter 4 | 1.03 |
| Inter Quartile Range | 0.02 |
| Number outliers low | 5 |
| Percentage of outliers low | 0.04 |
| Mean of outliers low | 0.94 |
| Number of outliers high | 6 |
| Percentage of outliers high | 0.05 |
| Mean of outliers high | 1.06 |
| Extreme Value Index (moments method) | 0.14 |
| VaR(95%) (moments method) | 0.03 |
| Expected Shortfall (moments method) | 0.04 |
| Extreme Value Index (regression method) | 0.18 |
| VaR(95%) (regression method) | 0.03 |
| Expected Shortfall (regression method) | 0.04 |
DRAW DOWN STATISTICS
| Number of observations | 4 |
|---|---|
| Minimum | 0.04 |
| Quartile 1 | 0.05 |
| Median | 0.06 |
| Quartile 3 | 0.15 |
| Maximum | 0.37 |
| Mean of quarter 1 | 0.04 |
| Mean of quarter 2 | 0.05 |
| Mean of quarter 3 | 0.07 |
| Mean of quarter 4 | 0.37 |
| Inter Quartile Range | 0.10 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.25 |
| Mean of outliers high | 0.37 |
| 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 | 54 |
| Minimum | 0.00 |
| Quartile 1 | 0.00 |
| Median | 0.01 |
| Quartile 3 | 0.04 |
| Maximum | 0.40 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.02 |
| Mean of quarter 4 | 0.11 |
| Inter Quartile Range | 0.04 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 4 |
| Percentage of outliers high | 0.07 |
| Mean of outliers high | 0.21 |
| Extreme Value Index (moments method) | 0.36 |
| VaR(95%) (moments method) | 0.11 |
| Expected Shortfall (moments method) | 0.20 |
| Extreme Value Index (regression method) | 0.52 |
| VaR(95%) (regression method) | 0.12 |
| Expected Shortfall (regression method) | 0.26 |
| Number of observations | 13 |
| Minimum | 0.01 |
| Quartile 1 | 0.01 |
| Median | 0.01 |
| Quartile 3 | 0.05 |
| Maximum | 0.22 |
| Mean of quarter 1 | 0.01 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.03 |
| Mean of quarter 4 | 0.12 |
| Inter Quartile Range | 0.04 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.08 |
| Mean of outliers high | 0.22 |
| Extreme Value Index (moments method) | 0.17 |
| VaR(95%) (moments method) | 0.11 |
| Expected Shortfall (moments method) | 0.17 |
| Extreme Value Index (regression method) | 1.10 |
| VaR(95%) (regression method) | 0.20 |
| Expected Shortfall (regression method) | 0 |
| Strat Max DD how much worse than SP500 max DD during strat life? | -416388960 |
| Max Equity Drawdown (num days) | 787 |
| Last 4 Months - Pcnt Negative | 0.2% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | 0.60 |
|---|---|
| Compounded annual return (geometric extrapolation) | 0.34 |
| Calmar ratio (compounded annual return / max draw down) | 0.93 |
| Compounded annual return / average of 25% largest draw downs | 0.93 |
| Compounded annual return / Expected Shortfall lognormal | 2.63 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.61 |
| Compounded annual return (geometric extrapolation) | 0.35 |
| Calmar ratio (compounded annual return / max draw down) | 0.86 |
| Compounded annual return / average of 25% largest draw downs | 3.21 |
| Compounded annual return / Expected Shortfall lognormal | 10.43 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.80 |
| Compounded annual return (geometric extrapolation) | 0.96 |
| Calmar ratio (compounded annual return / max draw down) | 4.43 |
| Compounded annual return / average of 25% largest draw downs | 7.75 |
| Compounded annual return / Expected Shortfall lognormal | 19.90 |
Trading record
Placed 58 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| XIV | long | 190 | Jan 16, 2018 | Feb 7, 2018 | ($25,369) |
| XIV | long | 250 | Dec 1, 2017 | Dec 4, 2017 | $2,488 |
| XIV | long | 250 | Nov 15, 2017 | Nov 16, 2017 | $1,455 |
| XIV | long | 320 | Aug 9, 2017 | Oct 23, 2017 | $7,024 |
| EXIV | long | 950 | Jun 23, 2017 | Jul 25, 2017 | $4,297 |
| XIV | long | 250 | May 17, 2017 | Jun 15, 2017 | $739 |
| XIV | long | 680 | Mar 22, 2017 | Apr 24, 2017 | $2,792 |
| XIV | long | 800 | Nov 1, 2016 | Nov 9, 2016 | $2,333 |
| XIV | long | 390 | Oct 13, 2016 | Oct 18, 2016 | $758 |
| XIV | long | 510 | Sep 26, 2016 | Sep 29, 2016 | $945 |
| XIV | long | 1950 | Jun 10, 2016 | Sep 21, 2016 | $4,865 |
| XIV | long | 1920 | Jan 7, 2016 | May 20, 2016 | $10,033 |
| XIV | long | 440 | Dec 11, 2015 | Dec 29, 2015 | $1,575 |
| VIX1518K23 | short | 60 | Nov 11, 2015 | Nov 13, 2015 | ($1,584) |
| XIV | long | 1840 | Aug 25, 2015 | Nov 4, 2015 | $71 |
| VIX1528J21 | short | 25 | Oct 21, 2015 | Oct 29, 2015 | $483 |
| VIX1516I40 | short | 50 | Sep 8, 2015 | Sep 11, 2015 | $930 |
| VIX1519H24 | short | 35 | Aug 6, 2015 | Aug 20, 2015 | $326 |
| VIX1519H28 | short | 50 | Aug 6, 2015 | Aug 20, 2015 | $215 |
| VIX1522G32.5 | short | 50 | Jul 1, 2015 | Jul 23, 2015 | $715 |
| VIX1522G24 | short | 50 | Jul 15, 2015 | Jul 23, 2015 | $165 |
| XIV | long | 520 | Jul 1, 2015 | Jul 16, 2015 | $1,526 |
| XIV | long | 260 | Jun 29, 2015 | Jun 30, 2015 | ($5) |
| XIV | long | 510 | Apr 30, 2015 | Jun 29, 2015 | $666 |
| VIX1517F24 | short | 50 | Jun 1, 2015 | Jun 18, 2015 | $715 |
| VIX1517F25 | short | 50 | Jun 10, 2015 | Jun 18, 2015 | $215 |
| VIX1520E30 | short | 50 | Apr 22, 2015 | May 21, 2015 | $715 |
| XIV | long | 1380 | Jan 14, 2015 | Apr 13, 2015 | $17,390 |
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.