Tradestreaming Hedge Fund Guru Portfolio
- hypothetical · Annual Return (Compounded)
- 23.5%
- Max Drawdown
- 25.0%
- Trades
- 53
- Win Trades
- 73.6%
- Profit Factor
- 6
- Win Months
- 59.9%
About this strategy
The Tradestreaming Hedge Fund Guru Portfolio is a real-world, actionable portfolio that mimics some of the best hedge fund managers in the world.
I've been working on this strategy for over 7 years and played a big part in my book, Tradestream your Way to Profits: Building a Killer Portfolio in the Age of Social Media (Wiley, 2010).
The core strategy is based on a couple of academic works that showed that a strategy that imitates particular investment strategies (long-term, value orientation) can produce an alpha similar to the strategies being mimicked.
I've analyzed over 2500 hedge funds to identify some of the best performing managers that translate well into being piggybacked as part of this portfolio.
It gets even more detailed -- portfolio managers are best imitated in different ways. For some managers, buying their largest holding works well to approximate their returns. For others, buying their largest, newest holding works best.
This portfolio rebalances quarterly where about half the current positions will be swapped out for new ones. The Tradestreaming Hedge Fund Guru Portfolio works well for the long-term, mid-large cap portion of a portfolio.
Questions? Let me know.
I've been working on this strategy for over 7 years and played a big part in my book, Tradestream your Way to Profits: Building a Killer Portfolio in the Age of Social Media (Wiley, 2010).
The core strategy is based on a couple of academic works that showed that a strategy that imitates particular investment strategies (long-term, value orientation) can produce an alpha similar to the strategies being mimicked.
I've analyzed over 2500 hedge funds to identify some of the best performing managers that translate well into being piggybacked as part of this portfolio.
It gets even more detailed -- portfolio managers are best imitated in different ways. For some managers, buying their largest holding works well to approximate their returns. For others, buying their largest, newest holding works best.
This portfolio rebalances quarterly where about half the current positions will be swapped out for new ones. The Tradestreaming Hedge Fund Guru Portfolio works well for the long-term, mid-large cap portion of a portfolio.
Questions? Let me know.
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012 | 1.6 | 3.0 | 0.5 | -6.7 | 6.5 | -0.2 | 2.3 | 0.8 | -2.7 | 0.9 | 3.8 | 9.4 | |
| 2013 | 2.9 | 1.7 | 2.7 | 1.0 | 5.0 | -4.9 | 9.9 | -2.9 | 8.2 | 0.8 | 4.0 | -8.5 | 19.8 |
| 2014 | 10.0 | 3.9 | -6.1 | -3.9 | 1.0 | 7.0 | -1.0 | 7.5 | -10.6 | 4.1 | 6.3 | 1.8 | 19.3 |
| 2015 | -2.1 | 4.3 | 4.8 | -3.6 | 1.2 | -3.2 | -0.4 | -5.8 | -6.8 | 12.4 | 1.0 | 0.8 | 1.1 |
| 2016 | -18.1 | 4.3 | 3.2 | -2.1 | -1.5 | -4.3 | 8.0 | -0.5 | 4.4 | -0.0 | 7.0 | 4.4 | 1.9 |
| 2017 | 5.5 | 4.3 | -1.7 | 0.6 | 0.5 | 3.5 | 7.7 | 3.4 | -0.6 | 3.8 | 0.1 | 1.0 | 31.6 |
| 2018 | 8.5 | -5.8 | -9.4 | 6.1 | 5.8 | -4.4 | -5.5 | 6.0 | -2.2 | -10.8 | 2.6 | -11.1 | -20.7 |
| 2019 | 15.2 | 2.1 | -0.4 | 8.9 | -0.7 | -1.3 | 0.0 | -4.7 | 0.0 | 3.1 | 5.0 | 5.5 | 36.2 |
| 2020 | -6.5 | -5.2 | -29.3 | 11.8 | 18.3 | 6.5 | 1.9 | 17.4 | -6.2 | 3.9 | 10.8 | 1.9 | 16.3 |
| 2021 | -5.5 | 9.3 | 4.0 | -0.4 | 2.8 | 1.0 | -1.1 | 1.5 | -3.2 | 2.3 | 0.3 | -1.8 | 8.8 |
| 2022 | -9.4 | -9.6 | 6.6 | -5.2 | -3.5 | -12.7 | -7.9 | -2.4 | -5.4 | -9.5 | 12.8 | 9.8 | -33.6 |
| 2023 | 10.5 | 5.8 | 1.1 | 2.8 | -0.3 | 12.6 | -0.4 | -3.0 | 0.7 | 0.0 | |||
| 2024 | 10.7 | 13.2 | 3.5 | -2.6 | 2.9 | -0.0 | 0.5 | 3.6 | 3.0 | 4.0 | 1.8 | -1.0 | 97.0 |
| 2025 | 3.3 | 4.8 | -7.9 | 0.0 | 11.9 | 7.4 | 4.6 | 1.7 | -8.8 | -3.1 | 8.9 | 13.7 | |
| 2026 | -1.3 | -0.0 | -5.9 | 1.9 | 6.2 | 0.0 | 1.7 | 7.7 |
Statistics
Overview
| Strategy began | 2/21/2012 |
|---|---|
| Suggested Minimum Capital | $10,000 |
| Age | 178 months |
| What it trades | Stocks |
| # Trades | 53 |
| # Profitable | 39 |
| % Profitable | 73.6% |
| Avg trade duration | 874.5 days |
| Max peak-to-valley drawdown | 25.0% |
| drawdown period | March 06, 2014 - April 13, 2014 |
| Annual Return (Compounded) | 23.5% |
| Avg win | $1,239 |
| Avg loss | $611 |
Ratios
| W:L ratio | 6 |
|---|---|
| Sharpe Ratio | 0.42 |
| Sortino Ratio | 0.61 |
| Calmar Ratio | 0.98 |
CORRELATION STATISTICS
| Correlation to SP500 | 0.67 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 470.1% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | 68.5% |
Return Statistics
| Ann Return (w trading costs) | 23.5% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | 0.2% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 12.0% |
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 | 0.0% |
| 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 | 13.3% |
| Chance of 40% account loss | 6.7% |
| Chance of 50% account loss | 6.7% |
| 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% |
| Chance of 100% account loss (Monte Carlo) | 0.0% |
Automation
| Percentage Signals Automated | 0.0% |
|---|
Popularity
| Popularity (Today) | 611 |
|---|---|
| Popularity (Last 6 weeks) | 950 |
| Popularity (7 days, Percentile 1000 scale) | 839 |
Trading Style
| Any stock shorts? 0/1 | 0 |
|---|
Trades-Own-System Certification
| Trades Own System? | 0 |
|---|---|
| TOS percent | 0.0% |
Win / Loss
| Avg Loss | $611 |
|---|---|
| Avg Win | $1,239 |
| # Winners | 39 |
| Sum Trade PL (losers) | $8,551 |
| Sum Trade PL (winners) | $48,308 |
| Num Months Winners | 104 |
| # Losers | 14 |
| % Winners | 73.6% |
Dividends
| Dividends Received in Model Acct | 2982 |
|---|
Age
| Num Months filled monthly returns table | 176 |
|---|
Frequency
| Avg Position Time (mins) | 1259222.12 |
|---|---|
| Avg Position Time (hrs) | 20987.04 |
| Avg Trade Length | 874.50 |
| Last Trade Ago | 1092 |
Regression
| Alpha | 0 |
|---|---|
| Beta | 0.99 |
| Treynor Index | 0.03 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.02 |
|---|---|
| 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 | 0.01 |
| MAE:Equity, win trades only, 95th Percentile Value for this strat | — |
| Avg(MAE) / Avg(PL) - All trades | 0.31 |
| MAE:PL (avg, all trades) | 0.10 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 31.92 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 14.75 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.14 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.49 |
| Hold-and-Hope Ratio | 3.75 |
RATIO STATISTICS
| Mean | 0.21 |
|---|---|
| SD | 0.17 |
| Sharpe ratio (Glass type estimate) | 1.29 |
| Sharpe ratio (Hedges UMVUE) | 1.26 |
| df | 45 |
| t | 2.52 |
| p | 0.01 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.24 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.31 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.23 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.30 |
| Sortino ratio | 2.30 |
| Upside Potential Ratio | 3.71 |
| Upside part of mean | 0.34 |
| Downside part of mean | -0.13 |
| Upside SD | 0.15 |
| Downside SD | 0.09 |
| N nonnegative terms | 31 |
| N negative terms | 15 |
| N of observations | 46 |
| Mean of predictor | 0.11 |
| Mean of criterion | 0.21 |
| SD of predictor | 0.11 |
| SD of criterion | 0.17 |
| Covariance | 0.01 |
| r | 0.68 |
| b (slope, estimate of beta) | 1.08 |
| a (intercept, estimate of alpha) | 0.10 |
| Mean Square Error | 0.01 |
| DF error | 44 |
| t(b) | 6.22 |
| p(b) | 0 |
| t(a) | 1.52 |
| p(a) | 0.07 |
| Lowerbound of 95% confidence interval for beta | 0.73 |
| Upperbound of 95% confidence interval for beta | 1.42 |
| Lowerbound of 95% confidence interval for alpha | -0.03 |
| Upperbound of 95% confidence interval for alpha | 0.23 |
| Treynor index (mean / b) | 0.20 |
| Jensen alpha (a) | 0.10 |
| Mean | 0.20 |
| SD | 0.16 |
| Sharpe ratio (Glass type estimate) | 1.20 |
| Sharpe ratio (Hedges UMVUE) | 1.18 |
| df | 45 |
| t | 2.35 |
| p | 0.01 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.16 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.22 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.15 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.21 |
| Sortino ratio | 2.02 |
| Upside Potential Ratio | 3.40 |
| Upside part of mean | 0.33 |
| Downside part of mean | -0.13 |
| Upside SD | 0.14 |
| Downside SD | 0.10 |
| N nonnegative terms | 31 |
| N negative terms | 15 |
| N of observations | 46 |
| Mean of predictor | 0.10 |
| Mean of criterion | 0.20 |
| SD of predictor | 0.11 |
| SD of criterion | 0.16 |
| Covariance | 0.01 |
| r | 0.68 |
| b (slope, estimate of beta) | 1.06 |
| a (intercept, estimate of alpha) | 0.09 |
| Mean Square Error | 0.01 |
| DF error | 44 |
| t(b) | 6.16 |
| p(b) | 0 |
| t(a) | 1.42 |
| p(a) | 0.08 |
| Lowerbound of 95% confidence interval for beta | 0.71 |
| Upperbound of 95% confidence interval for beta | 1.41 |
| Lowerbound of 95% confidence interval for alpha | -0.04 |
| Upperbound of 95% confidence interval for alpha | 0.22 |
| Treynor index (mean / b) | 0.19 |
| Jensen alpha (a) | 0.09 |
| VaR(95%) | 0.06 |
| Expected Shortfall on VaR | 0.08 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.04 |
| Mean | 0.21 |
| SD | 0.14 |
| Sharpe ratio (Glass type estimate) | 1.47 |
| Sharpe ratio (Hedges UMVUE) | 1.47 |
| df | 1334 |
| t | 2.90 |
| p | 0.46 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.48 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.47 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.48 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.47 |
| Sortino ratio | 2.22 |
| Upside Potential Ratio | 10.22 |
| Upside part of mean | 0.95 |
| Downside part of mean | -0.74 |
| Upside SD | 0.11 |
| Downside SD | 0.09 |
| N nonnegative terms | 641 |
| N negative terms | 694 |
| N of observations | 1335 |
| Mean of predictor | 0.11 |
| Mean of criterion | 0.21 |
| SD of predictor | 0.13 |
| SD of criterion | 0.14 |
| Covariance | 0.01 |
| r | 0.49 |
| b (slope, estimate of beta) | 0.54 |
| a (intercept, estimate of alpha) | 0.05 |
| Mean Square Error | 0.01 |
| DF error | 1333 |
| t(b) | 20.30 |
| p(b) | 0.20 |
| t(a) | 2.37 |
| p(a) | 0.46 |
| Lowerbound of 95% confidence interval for beta | 0.49 |
| Upperbound of 95% confidence interval for beta | 0.59 |
| Lowerbound of 95% confidence interval for alpha | 0.03 |
| Upperbound of 95% confidence interval for alpha | 0.27 |
| Treynor index (mean / b) | 0.38 |
| Jensen alpha (a) | 0.15 |
| Mean | 0.20 |
| SD | 0.14 |
| Sharpe ratio (Glass type estimate) | 1.40 |
| Sharpe ratio (Hedges UMVUE) | 1.40 |
| df | 1334 |
| t | 2.77 |
| p | 0.46 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.41 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.40 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.41 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.40 |
| Sortino ratio | 2.09 |
| Upside Potential Ratio | 10.06 |
| Upside part of mean | 0.94 |
| Downside part of mean | -0.75 |
| Upside SD | 0.10 |
| Downside SD | 0.09 |
| N nonnegative terms | 641 |
| N negative terms | 694 |
| N of observations | 1335 |
| Mean of predictor | 0.10 |
| Mean of criterion | 0.20 |
| SD of predictor | 0.13 |
| SD of criterion | 0.14 |
| Covariance | 0.01 |
| r | 0.49 |
| b (slope, estimate of beta) | 0.54 |
| a (intercept, estimate of alpha) | 0.14 |
| Mean Square Error | 0.01 |
| DF error | 1333 |
| t(b) | 20.33 |
| p(b) | 0.20 |
| t(a) | 2.29 |
| p(a) | 0.46 |
| Lowerbound of 95% confidence interval for beta | 0.49 |
| Upperbound of 95% confidence interval for beta | 0.59 |
| Lowerbound of 95% confidence interval for alpha | 0.02 |
| Upperbound of 95% confidence interval for alpha | 0.26 |
| Treynor index (mean / b) | 0.36 |
| Jensen alpha (a) | 0.14 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.01 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.01 |
| Mean | 0.01 |
| SD | 0.16 |
| Sharpe ratio (Glass type estimate) | 0.05 |
| Sharpe ratio (Hedges UMVUE) | 0.05 |
| df | 171 |
| t | 0.04 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.72 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.82 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.72 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.82 |
| Sortino ratio | 0.08 |
| Upside Potential Ratio | 9.09 |
| Upside part of mean | 1.00 |
| Downside part of mean | -0.99 |
| Upside SD | 0.12 |
| Downside SD | 0.11 |
| N nonnegative terms | 75 |
| N negative terms | 97 |
| N of observations | 172 |
| Mean of predictor | -0.03 |
| Mean of criterion | 0.01 |
| SD of predictor | 0.17 |
| SD of criterion | 0.16 |
| Covariance | 0.01 |
| r | 0.52 |
| b (slope, estimate of beta) | 0.48 |
| a (intercept, estimate of alpha) | 0.02 |
| Mean Square Error | 0.02 |
| DF error | 170 |
| t(b) | 7.84 |
| p(b) | 0.24 |
| t(a) | 0.11 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | 0.36 |
| Upperbound of 95% confidence interval for beta | 0.60 |
| Lowerbound of 95% confidence interval for alpha | -0.37 |
| Upperbound of 95% confidence interval for alpha | 0.41 |
| Treynor index (mean / b) | 0.02 |
| Jensen alpha (a) | 0.02 |
| Mean | -0.00 |
| SD | 0.16 |
| Sharpe ratio (Glass type estimate) | -0.03 |
| Sharpe ratio (Hedges UMVUE) | -0.03 |
| df | 171 |
| t | -0.02 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.80 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.74 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.80 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.74 |
| Sortino ratio | -0.04 |
| Upside Potential Ratio | 8.95 |
| Upside part of mean | 0.99 |
| Downside part of mean | -1.00 |
| Upside SD | 0.12 |
| Downside SD | 0.11 |
| N nonnegative terms | 75 |
| N negative terms | 97 |
| N of observations | 172 |
| Mean of predictor | -0.04 |
| Mean of criterion | -0.00 |
| SD of predictor | 0.17 |
| SD of criterion | 0.16 |
| Covariance | 0.01 |
| r | 0.52 |
| b (slope, estimate of beta) | 0.48 |
| a (intercept, estimate of alpha) | 0.02 |
| Mean Square Error | 0.02 |
| DF error | 170 |
| t(b) | 7.89 |
| p(b) | 0.24 |
| t(a) | 0.08 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | 0.36 |
| VAR (95 Confidence Intrvl) | 0.03 |
| Upperbound of 95% confidence interval for beta | 0.60 |
| Lowerbound of 95% confidence interval for alpha | -0.37 |
| Upperbound of 95% confidence interval for alpha | 0.40 |
| Treynor index (mean / b) | -0.01 |
| Jensen alpha (a) | 0.02 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.02 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.01 |
ORDER STATISTICS
| Number of observations | 46 |
|---|---|
| Minimum | 0.86 |
| Quartile 1 | 0.99 |
| Median | 1.02 |
| Quartile 3 | 1.04 |
| Maximum | 1.15 |
| Mean of quarter 1 | 0.96 |
| Mean of quarter 2 | 1.01 |
| Mean of quarter 3 | 1.03 |
| Mean of quarter 4 | 1.07 |
| Inter Quartile Range | 0.06 |
| Number outliers low | 1 |
| Percentage of outliers low | 0.02 |
| Mean of outliers low | 0.86 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.02 |
| Mean of outliers high | 1.15 |
| Extreme Value Index (moments method) | 0.01 |
| VaR(95%) (moments method) | 0.03 |
| Expected Shortfall (moments method) | 0.04 |
| Extreme Value Index (regression method) | 0.18 |
| VaR(95%) (regression method) | 0.05 |
| Expected Shortfall (regression method) | 0.08 |
| Number of observations | 1335 |
| Minimum | 0.94 |
| Quartile 1 | 1.00 |
| Median | 1 |
| Quartile 3 | 1.00 |
| 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 | 1.01 |
| Inter Quartile Range | 0.01 |
| Number outliers low | 63 |
| Percentage of outliers low | 0.05 |
| Mean of outliers low | 0.98 |
| Number of outliers high | 48 |
| Percentage of outliers high | 0.04 |
| Mean of outliers high | 1.02 |
| Extreme Value Index (moments method) | 0.11 |
| VaR(95%) (moments method) | 0.01 |
| Expected Shortfall (moments method) | 0.01 |
| Extreme Value Index (regression method) | 0.09 |
| VaR(95%) (regression method) | 0.01 |
| Expected Shortfall (regression method) | 0.01 |
| Number of observations | 172 |
| Minimum | 0.97 |
| Quartile 1 | 1.00 |
| Median | 1 |
| Quartile 3 | 1.00 |
| 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 | 8 |
| Percentage of outliers low | 0.05 |
| Mean of outliers low | 0.98 |
| Number of outliers high | 6 |
| Percentage of outliers high | 0.03 |
| Mean of outliers high | 1.02 |
| Extreme Value Index (moments method) | -0.53 |
| VaR(95%) (moments method) | 0.01 |
| Expected Shortfall (moments method) | 0.01 |
| Extreme Value Index (regression method) | -0.36 |
| VaR(95%) (regression method) | 0.01 |
| Expected Shortfall (regression method) | 0.01 |
DRAW DOWN STATISTICS
| Number of observations | 11 |
|---|---|
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.03 |
| Quartile 3 | 0.05 |
| Maximum | 0.14 |
| Mean of quarter 1 | 0.01 |
| Mean of quarter 2 | 0.02 |
| Mean of quarter 3 | 0.04 |
| Mean of quarter 4 | 0.10 |
| 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 | 0.09 |
| Mean of outliers high | 0.14 |
| Extreme Value Index (moments method) | -1.21 |
| VaR(95%) (moments method) | 0.11 |
| Expected Shortfall (moments method) | 0.12 |
| Extreme Value Index (regression method) | 0.41 |
| VaR(95%) (regression method) | 0.15 |
| Expected Shortfall (regression method) | 0.26 |
| Number of observations | 68 |
| Minimum | 0.00 |
| Quartile 1 | 0.00 |
| Median | 0.01 |
| Quartile 3 | 0.03 |
| Maximum | 0.19 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.02 |
| Mean of quarter 4 | 0.07 |
| Inter Quartile Range | 0.03 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 4 |
| Percentage of outliers high | 0.06 |
| Mean of outliers high | 0.14 |
| Extreme Value Index (moments method) | 0.34 |
| VaR(95%) (moments method) | 0.07 |
| Expected Shortfall (moments method) | 0.12 |
| Extreme Value Index (regression method) | 0.59 |
| VaR(95%) (regression method) | 0.06 |
| Expected Shortfall (regression method) | 0.14 |
| Number of observations | 4 |
| Minimum | 0.01 |
| Quartile 1 | 0.02 |
| Median | 0.04 |
| Quartile 3 | 0.07 |
| Maximum | 0.11 |
| Mean of quarter 1 | 0.01 |
| Mean of quarter 2 | 0.03 |
| Mean of quarter 3 | 0.06 |
| 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 |
| Max Equity Drawdown (num days) | 38 |
| Last 4 Months - Pcnt Negative | 0.2% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | 0.32 |
|---|---|
| Compounded annual return (geometric extrapolation) | 0.23 |
| Calmar ratio (compounded annual return / max draw down) | 1.63 |
| Compounded annual return / average of 25% largest draw downs | 2.37 |
| Compounded annual return / Expected Shortfall lognormal | 2.95 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.32 |
| Compounded annual return (geometric extrapolation) | 0.23 |
| Calmar ratio (compounded annual return / max draw down) | 1.20 |
| Compounded annual return / average of 25% largest draw downs | 3.43 |
| Compounded annual return / Expected Shortfall lognormal | 15.41 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.01 |
| Compounded annual return (geometric extrapolation) | 0.01 |
| Calmar ratio (compounded annual return / max draw down) | 0.05 |
| Compounded annual return / average of 25% largest draw downs | 0.05 |
| Compounded annual return / Expected Shortfall lognormal | 0.30 |
Trading record
Placed 53 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| HZNP | long | 65 | May 26, 2015 | Oct 5, 2023 | $5,492 |
| AAPL | long | 15 | May 26, 2015 | Aug 24, 2015 | ($553) |
| PCYC | long | 14 | Nov 24, 2014 | May 26, 2015 | $1,682 |
| WMB | long | 40 | Feb 23, 2015 | May 26, 2015 | $162 |
| VC | long | 20 | Feb 23, 2015 | May 26, 2015 | $171 |
| FB | long | 27 | Nov 24, 2014 | May 26, 2015 | $183 |
| SHPG | long | 10 | Nov 24, 2014 | Feb 23, 2015 | $260 |
| ENT | long | 120 | Feb 24, 2014 | Feb 23, 2015 | ($554) |
| ZINC | long | 115 | May 23, 2014 | Feb 23, 2015 | ($442) |
| HCA | long | 39 | May 23, 2013 | Feb 23, 2015 | $1,140 |
| HTZ | long | 85 | Nov 24, 2014 | Feb 23, 2015 | ($78) |
| ELN | long | 66 | Aug 22, 2013 | Dec 18, 2014 | $204 |
| NE | long | 65 | May 23, 2014 | Nov 24, 2014 | ($615) |
| GEVA | long | 28 | Aug 25, 2014 | Nov 24, 2014 | $31 |
| BIDU | long | 12 | May 23, 2014 | Nov 24, 2014 | $1,013 |
| SPY | long | 10 | Aug 22, 2013 | Aug 25, 2014 | $269 |
| SGEN | long | 60 | May 23, 2014 | Aug 25, 2014 | $522 |
| BAC | long | 120 | Feb 24, 2014 | May 23, 2014 | ($198) |
| AAPL | long | 28 | Nov 25, 2013 | May 23, 2014 | $330 |
| VOD | long | 50 | Feb 24, 2014 | May 23, 2014 | ($348) |
| EQIX | long | 10 | Aug 22, 2013 | May 23, 2014 | $187 |
| PCLN | long | 1 | Aug 22, 2013 | Feb 24, 2014 | $373 |
| GOOG | long | 1 | Feb 22, 2013 | Nov 25, 2013 | $250 |
| C | long | 20 | May 23, 2013 | Aug 22, 2013 | $8 |
| AON | long | 15 | May 23, 2013 | Aug 22, 2013 | $45 |
| ALK | long | 36 | May 23, 2013 | Aug 22, 2013 | $35 |
| EQIX | long | 5 | Feb 22, 2013 | May 23, 2013 | $17 |
| PCLN | long | 2 | Feb 22, 2013 | May 23, 2013 | $201 |
| MRK | long | 23 | Feb 22, 2013 | May 23, 2013 | $89 |
| GIL | long | 60 | Nov 23, 2012 | May 23, 2013 | $214 |
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.