Stock Pairs Trader
- hypothetical · Annual Return (Compounded)
- -0.6%
- Max Drawdown
- 65.9%
- Trades
- 182
- Win Trades
- 54.9%
- Profit Factor
- 2.40
- Win Months
- 53.6%
About this strategy
Our stock pairs trading signal consists of simple instructions of the kind:
Buy 1000 shares of EQR, while
SIMULTANEOUSLY selling short 575 shares of VTR
You need to implement this trading signal by buying and selling both legs of the matched stock pair. You may execute the paired trading signal within a few hours of the system issuing the signal. It is very important to implement the two stock trades together on the same day, so as to derive the full benefit of the arbitrage potential in the stock pairing.
We will also provide you the closing signal on the trade pair, usually within a few days. Again, you must get out of the two legs together when your receive our exit signal.
Since there is plenty of time to implement the two trades, you can go about your business or hobbies without being glued to the financial markets. All you need to be able to do short selling is to open a margin account with your discount stock brokerage.
Or, to keep things really simple, automatic trading can be done in your brokerage accounts if you choose Autotrade in C2's systems.
I have been using this system successfully for 3 years before launching it publicly on C2. As you can see from its performance since July 22, 2010 on C2, the system has a very low drawdown. Following the trade signals given here is as good as parking your money in cash, while getting far better annual returns than cash which yields 0% in 2010. This has been achieved by designing this system to be quantitatively uncorrelated to the broad stock market. Currently, the correlation shown is 0.01, which means this system behaves almost independently to what the broad market does. Whether the broad market zigs or zags, this system clocks in its profit diligently.
The profit growth will appear to be painfully slow, especially in comparison to those futures based systems that seem to attract the most attention as "Hot Systems" on C2, but be aware that those systems will easily give you sleepless nights with drawdowns of more than 15%. this system's drawdown being less than 5%. Our motto is: the slow and steady win the race. We would rather be steady even if we are slow in increasing the equity curve shown. We believe in showing substance, and letting the sizzle-masters delude the crowds by creating multiple systems or with marketing hype. We only have one system which works well.
The system's "capacity" is very high, since the system only sifts through the very liquid US stocks in the Russell 3000, and they offer a huge amount of liquidity. This system's capacity should not be impacted by more participants being drawn in.
You can get more details on my instaBlog at
http://seekingalpha.com/author/rajeev-seth/instablog
and at my website on Quantitative Investments at:
http://www.beatindex.biz
Please feel free to email me at [email protected] if you have any questions or concerns before you subscribe to this system.
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010 | 3.3 | -0.1 | 2.9 | -1.4 | -0.8 | -1.3 | 2.4 | ||||||
| 2011 | 1.9 | -0.2 | 2.6 | 0.5 | -1.1 | -0.0 | -1.7 | -2.8 | 2.4 | 2.9 | -4.2 | -2.2 | -2.2 |
| 2012 | 2.9 | 0.6 | -0.0 | -0.5 | -2.0 | 1.6 | -0.1 | 0.1 | 3.0 | -0.3 | 0.3 | 0.0 | 5.7 |
| 2013 | 1.2 | 1.7 | 3.3 | -2.5 | 4.1 | -3.9 | 3.1 | 0.3 | 2.5 | 0.9 | -0.2 | 0.1 | 10.7 |
| 2014 | -1.1 | 1.8 | 2.6 | -3.6 | -2.3 | -5.2 | -1.7 | 1.6 | -1.4 | 1.5 | 1.0 | 1.6 | -5.5 |
| 2015 | -1.0 | 2.5 | 0.4 | -3.5 | 15.8 | 1.1 | 2.9 | -2.5 | -2.8 | 5.6 | -0.5 | -1.2 | 16.8 |
| 2016 | 2.5 | -0.1 | 1.5 | 2.3 | -1.4 | 2.3 | 2.6 | -3.3 | -0.0 | -8.4 | 2.2 | -7.2 | -7.5 |
| 2017 | 2.9 | 2.3 | -2.1 | 25.1 | -1.1 | 1.9 | -0.7 | -2.1 | 1.2 | 0.7 | 0.1 | 3.7 | 33.4 |
| 2018 | 0.5 | -4.2 | -1.8 | 0.3 | -0.4 | -0.4 | 3.9 | 2.6 | -1.1 | -2.3 | 1.3 | -6.8 | -8.5 |
| 2019 | 6.8 | 0.9 | -0.1 | 2.3 | 0.2 | 0.0 | -12.8 | 2.7 | 2.7 | 2.1 | -2.5 | 1.0 | |
| 2020 | 0.2 | 0.6 | -15.7 | 4.7 | -0.7 | 0.6 | 1.3 | 0.5 | 0.9 | -4.5 | 3.6 | 0.4 | -9.3 |
| 2021 | 0.9 | 0.5 | -0.7 | -0.6 | 0.5 | -1.3 | 0.4 | -0.0 | 0.4 | -2.2 | -1.7 | -1.0 | -4.8 |
| 2022 | 2.9 | -2.4 | -4.7 | 1.4 | 0.7 | -1.6 | -0.6 | -6.2 | 3.4 | 3.4 | 15.7 | 0.2 | 11.1 |
| 2023 | 1.3 | -2.4 | -2.9 | 1.3 | -1.3 | 3.4 | 5.9 | -1.5 | -5.2 | 0.6 | 2.3 | -3.0 | -2.1 |
| 2024 | 1.7 | -7.0 | 2.2 | -0.1 | -5.0 | -10.2 | 1.0 | 4.8 | -1.4 | 3.5 | 1.8 | 3.7 | -6.1 |
| 2025 | -3.5 | 6.0 | 0.7 | -3.0 | -1.5 | -4.2 | -2.5 | 7.9 | 0.2 | -8.4 | 13.2 | 2.3 | 5.3 |
| 2026 | 1.2 | -2.7 | -7.5 | -12.6 | -35.0 | 4.3 | 31.5 | 13.4 | -17.5 |
Statistics
Overview
| Strategy began | 7/22/2010 |
|---|---|
| Suggested Minimum Capital | $100,000 |
| Age | 197 months |
| What it trades | Stocks |
| # Trades | 182 |
| # Profitable | 100 |
| % Profitable | 54.9% |
| Avg trade duration | 273.1 days |
| Max peak-to-valley drawdown | 65.9% |
| drawdown period | April 21, 2019 - June 19, 2026 |
| Annual Return (Compounded) | -0.6% |
| Avg win | $1,367 |
| Avg loss | $1,995 |
Ratios
| W:L ratio | 2.36 |
|---|---|
| Sharpe Ratio | 0.01 |
| Sortino Ratio | 0.01 |
| Calmar Ratio | 0.03 |
CORRELATION STATISTICS
| Correlation to SP500 | 0.03 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 609.8% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -617.2% |
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) | -0.5% |
Slump
| Current Slump as Pcnt Equity | 77.8% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 0.5% |
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 | 46.7% |
| Chance of 30% account loss | 6.7% |
| 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% |
| Chance of 100% 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 | $2,051 |
|---|---|
| Avg Win | $1,391 |
| # Winners | 100 |
| Sum Trade PL (losers) | $168,151 |
| Sum Trade PL (winners) | $139,144 |
| Num Months Winners | 105 |
| # Losers | 82 |
| % Winners | 55.0% |
Dividends
| Dividends Received in Model Acct | 21364 |
|---|
Age
| Num Months filled monthly returns table | 195 |
|---|
Frequency
| Avg Position Time (mins) | 1228944.38 |
|---|---|
| Avg Position Time (hrs) | 20482.41 |
| Avg Trade Length | 853.40 |
| Last Trade Ago | 3895 |
Regression
| Alpha | 0 |
|---|---|
| Beta | 0.05 |
| Treynor Index | 0.01 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.02 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0.03 |
| 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 | -7.45 |
| MAE:PL (avg, all trades) | 0.21 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 38.16 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 47.80 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.40 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.56 |
| Hold-and-Hope Ratio | -0.10 |
RATIO STATISTICS
| Mean | 0.06 |
|---|---|
| SD | 0.21 |
| Sharpe ratio (Glass type estimate) | 0.26 |
| Sharpe ratio (Hedges UMVUE) | 0.26 |
| df | 52 |
| t | 0.56 |
| p | 0.29 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.67 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.20 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.67 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.19 |
| Sortino ratio | 0.51 |
| Upside Potential Ratio | 2.35 |
| Upside part of mean | 0.26 |
| Downside part of mean | -0.20 |
| Upside SD | 0.18 |
| Downside SD | 0.11 |
| N nonnegative terms | 28 |
| N negative terms | 25 |
| N of observations | 53 |
| Mean of predictor | 0.42 |
| Mean of criterion | 0.06 |
| SD of predictor | 0.25 |
| SD of criterion | 0.21 |
| Covariance | 0.01 |
| r | 0.24 |
| b (slope, estimate of beta) | 0.20 |
| a (intercept, estimate of alpha) | -0.03 |
| Mean Square Error | 0.04 |
| DF error | 51 |
| t(b) | 1.78 |
| p(b) | 0.04 |
| t(a) | -0.26 |
| p(a) | 0.60 |
| Lowerbound of 95% confidence interval for beta | -0.03 |
| Upperbound of 95% confidence interval for beta | 0.43 |
| Lowerbound of 95% confidence interval for alpha | -0.25 |
| Upperbound of 95% confidence interval for alpha | 0.19 |
| Treynor index (mean / b) | 0.28 |
| Jensen alpha (a) | -0.03 |
| Mean | 0.04 |
| SD | 0.20 |
| Sharpe ratio (Glass type estimate) | 0.18 |
| Sharpe ratio (Hedges UMVUE) | 0.17 |
| df | 52 |
| t | 0.37 |
| p | 0.36 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.76 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.11 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.76 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.11 |
| Sortino ratio | 0.31 |
| Upside Potential Ratio | 2.13 |
| Upside part of mean | 0.24 |
| Downside part of mean | -0.21 |
| Upside SD | 0.16 |
| Downside SD | 0.11 |
| N nonnegative terms | 28 |
| N negative terms | 25 |
| N of observations | 53 |
| Mean of predictor | 0.38 |
| Mean of criterion | 0.04 |
| SD of predictor | 0.25 |
| SD of criterion | 0.20 |
| Covariance | 0.01 |
| r | 0.27 |
| b (slope, estimate of beta) | 0.22 |
| a (intercept, estimate of alpha) | -0.05 |
| Mean Square Error | 0.04 |
| DF error | 51 |
| t(b) | 1.99 |
| p(b) | 0.03 |
| t(a) | -0.48 |
| p(a) | 0.68 |
| Lowerbound of 95% confidence interval for beta | -0.00 |
| Upperbound of 95% confidence interval for beta | 0.44 |
| Lowerbound of 95% confidence interval for alpha | -0.25 |
| Upperbound of 95% confidence interval for alpha | 0.16 |
| Treynor index (mean / b) | 0.16 |
| Jensen alpha (a) | -0.05 |
| VaR(95%) | 0.09 |
| Expected Shortfall on VaR | 0.11 |
| VaR(95%) | 0.04 |
| Expected Shortfall on VaR | 0.07 |
| Mean | 0.08 |
| SD | 0.43 |
| Sharpe ratio (Glass type estimate) | 0.19 |
| Sharpe ratio (Hedges UMVUE) | 0.19 |
| df | 1175 |
| t | 0.41 |
| p | 0.49 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.73 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.12 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.73 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.12 |
| Sortino ratio | 0.30 |
| Upside Potential Ratio | 5.03 |
| Upside part of mean | 1.41 |
| Downside part of mean | -1.32 |
| Upside SD | 0.33 |
| Downside SD | 0.28 |
| N nonnegative terms | 556 |
| N negative terms | 620 |
| N of observations | 1176 |
| Mean of predictor | 0.45 |
| Mean of criterion | 0.08 |
| SD of predictor | 0.32 |
| SD of criterion | 0.43 |
| Covariance | 0.00 |
| r | 0.03 |
| b (slope, estimate of beta) | 0.05 |
| a (intercept, estimate of alpha) | 0.06 |
| Mean Square Error | 0.19 |
| DF error | 1174 |
| t(b) | 1.15 |
| p(b) | 0.48 |
| t(a) | 0.30 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | -0.03 |
| Upperbound of 95% confidence interval for beta | 0.12 |
| Lowerbound of 95% confidence interval for alpha | -0.34 |
| Upperbound of 95% confidence interval for alpha | 0.47 |
| Treynor index (mean / b) | 1.82 |
| Jensen alpha (a) | 0.06 |
| Mean | -0.01 |
| SD | 0.43 |
| Sharpe ratio (Glass type estimate) | -0.02 |
| Sharpe ratio (Hedges UMVUE) | -0.02 |
| df | 1175 |
| t | -0.05 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.95 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.90 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.95 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.90 |
| Sortino ratio | -0.03 |
| Upside Potential Ratio | 4.35 |
| Upside part of mean | 1.36 |
| Downside part of mean | -1.37 |
| Upside SD | 0.30 |
| Downside SD | 0.31 |
| N nonnegative terms | 556 |
| N negative terms | 620 |
| N of observations | 1176 |
| Mean of predictor | 0.40 |
| Mean of criterion | -0.01 |
| SD of predictor | 0.32 |
| SD of criterion | 0.43 |
| Covariance | 0.01 |
| r | 0.04 |
| b (slope, estimate of beta) | 0.05 |
| a (intercept, estimate of alpha) | -0.03 |
| Mean Square Error | 0.19 |
| DF error | 1174 |
| t(b) | 1.26 |
| p(b) | 0.48 |
| t(a) | -0.15 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | -0.03 |
| Upperbound of 95% confidence interval for beta | 0.13 |
| Lowerbound of 95% confidence interval for alpha | -0.43 |
| Upperbound of 95% confidence interval for alpha | 0.37 |
| Treynor index (mean / b) | -0.21 |
| Jensen alpha (a) | -0.03 |
| VaR(95%) | 0.04 |
| Expected Shortfall on VaR | 0.05 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.03 |
| Mean | 0.14 |
| SD | 1.08 |
| Sharpe ratio (Glass type estimate) | 0.13 |
| Sharpe ratio (Hedges UMVUE) | 0.13 |
| df | 130 |
| t | 0.09 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.64 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.90 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.64 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.90 |
| Sortino ratio | 0.19 |
| Upside Potential Ratio | 5.80 |
| Upside part of mean | 4.19 |
| Downside part of mean | -4.05 |
| Upside SD | 0.79 |
| Downside SD | 0.72 |
| N nonnegative terms | 66 |
| N negative terms | 65 |
| N of observations | 131 |
| Mean of predictor | 1.37 |
| Mean of criterion | 0.14 |
| SD of predictor | 0.37 |
| SD of criterion | 1.08 |
| Covariance | -0.08 |
| r | -0.20 |
| b (slope, estimate of beta) | -0.57 |
| a (intercept, estimate of alpha) | 0.92 |
| Mean Square Error | 1.12 |
| DF error | 129 |
| t(b) | -2.28 |
| p(b) | 0.62 |
| t(a) | 0.60 |
| p(a) | 0.47 |
| Lowerbound of 95% confidence interval for beta | -1.07 |
| Upperbound of 95% confidence interval for beta | -0.08 |
| Lowerbound of 95% confidence interval for alpha | -2.12 |
| Upperbound of 95% confidence interval for alpha | 3.96 |
| Treynor index (mean / b) | -0.24 |
| Jensen alpha (a) | 0.92 |
| Mean | -0.44 |
| SD | 1.09 |
| Sharpe ratio (Glass type estimate) | -0.40 |
| Sharpe ratio (Hedges UMVUE) | -0.40 |
| df | 130 |
| t | -0.29 |
| p | 0.51 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.18 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.37 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -3.17 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.37 |
| Sortino ratio | -0.53 |
| Upside Potential Ratio | 4.73 |
| Upside part of mean | 3.92 |
| Downside part of mean | -4.36 |
| Upside SD | 0.70 |
| Downside SD | 0.83 |
| N nonnegative terms | 66 |
| N negative terms | 65 |
| N of observations | 131 |
| Mean of predictor | 1.30 |
| Mean of criterion | -0.44 |
| SD of predictor | 0.37 |
| SD of criterion | 1.09 |
| Covariance | -0.08 |
| r | -0.19 |
| b (slope, estimate of beta) | -0.58 |
| a (intercept, estimate of alpha) | 0.31 |
| Mean Square Error | 1.16 |
| DF error | 129 |
| t(b) | -2.24 |
| p(b) | 0.62 |
| t(a) | 0.20 |
| p(a) | 0.49 |
| Lowerbound of 95% confidence interval for beta | -1.09 |
| VAR (95 Confidence Intrvl) | 0.04 |
| Upperbound of 95% confidence interval for beta | -0.07 |
| Lowerbound of 95% confidence interval for alpha | -2.77 |
| Upperbound of 95% confidence interval for alpha | 3.39 |
| Treynor index (mean / b) | 0.76 |
| Jensen alpha (a) | 0.31 |
| VaR(95%) | 0.11 |
| Expected Shortfall on VaR | 0.13 |
| VaR(95%) | 0.03 |
| Expected Shortfall on VaR | 0.08 |
ORDER STATISTICS
| Number of observations | 53 |
|---|---|
| Minimum | 0.90 |
| Quartile 1 | 0.98 |
| Median | 1.00 |
| Quartile 3 | 1.02 |
| Maximum | 1.27 |
| Mean of quarter 1 | 0.95 |
| Mean of quarter 2 | 0.99 |
| Mean of quarter 3 | 1.01 |
| Mean of quarter 4 | 1.08 |
| Inter Quartile Range | 0.04 |
| Number outliers low | 2 |
| Percentage of outliers low | 0.04 |
| Mean of outliers low | 0.91 |
| Number of outliers high | 4 |
| Percentage of outliers high | 0.08 |
| Mean of outliers high | 1.17 |
| Extreme Value Index (moments method) | -0.07 |
| VaR(95%) (moments method) | 0.05 |
| Expected Shortfall (moments method) | 0.07 |
| Extreme Value Index (regression method) | -0.27 |
| VaR(95%) (regression method) | 0.05 |
| Expected Shortfall (regression method) | 0.06 |
| Number of observations | 1176 |
| Minimum | 0.69 |
| Quartile 1 | 1.00 |
| Median | 1 |
| Quartile 3 | 1.01 |
| Maximum | 1.33 |
| Mean of quarter 1 | 0.98 |
| 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 | 63 |
| Percentage of outliers low | 0.05 |
| Mean of outliers low | 0.95 |
| Number of outliers high | 55 |
| Percentage of outliers high | 0.05 |
| Mean of outliers high | 1.06 |
| Extreme Value Index (moments method) | 0.66 |
| VaR(95%) (moments method) | 0.02 |
| Expected Shortfall (moments method) | 0.05 |
| Extreme Value Index (regression method) | 0.60 |
| VaR(95%) (regression method) | 0.01 |
| Expected Shortfall (regression method) | 0.04 |
| Number of observations | 131 |
| Minimum | 0.69 |
| Quartile 1 | 0.99 |
| Median | 1.00 |
| Quartile 3 | 1.01 |
| Maximum | 1.33 |
| Mean of quarter 1 | 0.94 |
| Mean of quarter 2 | 0.99 |
| Mean of quarter 3 | 1.01 |
| Mean of quarter 4 | 1.06 |
| Inter Quartile Range | 0.03 |
| Number outliers low | 9 |
| Percentage of outliers low | 0.07 |
| Mean of outliers low | 0.86 |
| Number of outliers high | 9 |
| Percentage of outliers high | 0.07 |
| Mean of outliers high | 1.15 |
| Extreme Value Index (moments method) | 0.73 |
| VaR(95%) (moments method) | 0.06 |
| Expected Shortfall (moments method) | 0.23 |
| Extreme Value Index (regression method) | 0.79 |
| VaR(95%) (regression method) | 0.05 |
| Expected Shortfall (regression method) | 0.21 |
DRAW DOWN STATISTICS
| Number of observations | 8 |
|---|---|
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.05 |
| Quartile 3 | 0.10 |
| Maximum | 0.26 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.02 |
| Mean of quarter 3 | 0.08 |
| Mean of quarter 4 | 0.18 |
| Inter Quartile Range | 0.09 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.12 |
| Mean of outliers high | 0.26 |
| 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 | 39 |
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.02 |
| Quartile 3 | 0.04 |
| Maximum | 0.65 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.03 |
| Mean of quarter 4 | 0.14 |
| 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 | 0.10 |
| Mean of outliers high | 0.26 |
| Extreme Value Index (moments method) | 0.77 |
| VaR(95%) (moments method) | 0.14 |
| Expected Shortfall (moments method) | 0.64 |
| Extreme Value Index (regression method) | 1.22 |
| VaR(95%) (regression method) | 0.13 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 4 |
| Minimum | 0.01 |
| Quartile 1 | 0.02 |
| Median | 0.02 |
| Quartile 3 | 0.17 |
| Maximum | 0.62 |
| Mean of quarter 1 | 0.01 |
| Mean of quarter 2 | 0.02 |
| Mean of quarter 3 | 0.03 |
| Mean of quarter 4 | 0.62 |
| Inter Quartile Range | 0.16 |
| 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 | 0.62 |
| 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? | -564114496 |
| Max Equity Drawdown (num days) | 2616 |
| Last 4 Months - Pcnt Negative | 0.2% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | 0.07 |
|---|---|
| Compounded annual return (geometric extrapolation) | 0.07 |
| Calmar ratio (compounded annual return / max draw down) | 0.25 |
| Compounded annual return / average of 25% largest draw downs | 0.35 |
| Compounded annual return / Expected Shortfall lognormal | 0.60 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.02 |
| Compounded annual return (geometric extrapolation) | 0.02 |
| Calmar ratio (compounded annual return / max draw down) | 0.03 |
| Compounded annual return / average of 25% largest draw downs | 0.13 |
| Compounded annual return / Expected Shortfall lognormal | 0.33 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | -0.37 |
| Compounded annual return (geometric extrapolation) | -0.34 |
| Calmar ratio (compounded annual return / max draw down) | -0.54 |
| Compounded annual return / average of 25% largest draw downs | -0.54 |
| Compounded annual return / Expected Shortfall lognormal | -2.58 |
Trading record
Placed 60 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| BMR | short | 200 | Dec 30, 2010 | Jan 27, 2016 | ($1,036) |
| SXT | short | 252 | Jan 6, 2011 | Jan 12, 2011 | $570 |
| SIAL | long | 200 | Jan 6, 2011 | Jan 12, 2011 | ($212) |
| CLI | long | 200 | Jan 5, 2011 | Jan 12, 2011 | $270 |
| DRE | short | 227 | Jan 5, 2011 | Jan 12, 2011 | ($98) |
| TCO | short | 201 | Dec 8, 2010 | Jan 11, 2011 | ($460) |
| REG | short | 200 | Nov 26, 2010 | Jan 11, 2011 | $90 |
| DEI | long | 389 | Nov 26, 2010 | Jan 11, 2011 | $120 |
| MAA | short | 118 | Dec 20, 2010 | Jan 5, 2011 | $22 |
| BRE | long | 300 | Dec 17, 2010 | Jan 5, 2011 | $408 |
| TMK | long | 446 | Dec 28, 2010 | Jan 5, 2011 | $205 |
| PFG | short | 290 | Dec 28, 2010 | Jan 5, 2011 | ($6) |
| DDR | short | 290 | Dec 8, 2010 | Jan 5, 2011 | ($96) |
| EQY | long | 200 | Dec 8, 2010 | Jan 5, 2011 | $92 |
| CLP | long | 200 | Dec 30, 2010 | Dec 30, 2010 | $0 |
| CNL | long | 200 | Dec 23, 2010 | Dec 28, 2010 | $2 |
| POR | short | 410 | Dec 17, 2010 | Dec 28, 2010 | ($8) |
| NU | short | 233 | Dec 1, 2010 | Dec 28, 2010 | ($82) |
| PNW | long | 400 | Dec 1, 2010 | Dec 28, 2010 | $258 |
| MAC | long | 200 | Dec 16, 2010 | Dec 22, 2010 | $582 |
| EPR | long | 200 | Dec 22, 2010 | Dec 22, 2010 | ($20) |
| AMB | short | 226 | Dec 16, 2010 | Dec 22, 2010 | ($254) |
| EGP | short | 199 | Dec 20, 2010 | Dec 20, 2010 | ($10) |
| CTS | short | 209 | Dec 1, 2010 | Dec 17, 2010 | ($111) |
| BHE | long | 200 | Dec 1, 2010 | Dec 17, 2010 | $232 |
| TE | long | 200 | Nov 22, 2010 | Dec 8, 2010 | ($10) |
| SCG | short | 197 | Nov 22, 2010 | Dec 8, 2010 | $156 |
| IM | long | 120 | Nov 26, 2010 | Dec 8, 2010 | $65 |
| TECD | short | 128 | Nov 26, 2010 | Dec 8, 2010 | $52 |
| PPS | short | 259 | Nov 24, 2010 | Nov 24, 2010 | ($0) |
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.