JayTrader Two
- hypothetical · Annual Return (Compounded)
- -0.5%
- Max Drawdown
- 24.9%
- Trades
- 250
- Win Trades
- 59.2%
- Profit Factor
- 1.10
- Win Months
- 4.1%
About this strategy
Table of Contents
1. System Overview
2. How to Trade
3. FAQ
4. Backtest Methodology & Results
Disclaimer: Past performance is no guarantee of future success. Every investor and trader is responsible to make their own trading decisions.
========================================
== 1. System Overview
========================================
JayTrader Two has the following system attributes:
-- Trades equities only, with no ETFs
-- EOD data used to derive signals
-- Fully mechanical (i.e. no discretionary choices) entry signals generated using proprietary system, with set exit criteria for each trade
-- takes both long and short positions
-- each position has bracket orders associated with it, a profit target and stop loss
-- holds each trade 3 full days (unless a stop loss or profit target is triggered)
-- entries and exits happen at market open (aside from a stop loss or profit target triggering the exit)
-- all orders can be entered in the evening
-- up to 4 positions at a time, with a maximum of 3 shorts held simultaneously (up to 4 longs can be held at the same time)
-- short positions are allocated 17.5% of equity
-- long positions are allocated 27.5% of equity
========================================
== 2. How to Trade
========================================
Auto-trading is supported. However, if you want to manually trade the the system, keep reading. I manually trade it in my own account.
Here's how I trade this system using Interactive Brokers. I have set up short-cut keys to speed up the process. All told, it takes about 5 minutes a day to trade when there is activity.
1) An entry signal is received by email from Collective2 in the evening. The entry order is entered as a market order for regular market hours (that is, it will execute the next trading day at the open). A bracket order (stop loss and profit target) is attached to the main entry order using a relative offset. The actual price of the brackets won't be known until the position is entered. I therefore enter the order on Interactive Brokers with a bracket 20% above and below that day's close as a placeholder.
2) Just after the market opens, Collective2 sends an email with the bracket prices. I update my bracket orders with Interactive Brokers to reflect the actual profit target and stop loss as soon as possible.
3) Within the next two days, Collective2 sends out a "park until" exit order for the position that is merged into the bracket OCA group. In other words, if one of the bracket orders doesn't execute in 3 days, the position exits. I match that "park until" order with in Interactive Brokers.
Alternatively, in the evening, when the "park until" order becomes effective, you could enter an exit order in Interactive Brokers and cancel the bracket orders.
========================================
== 3. FAQ
========================================
Question: Does this system magically make money every single day with no drawdowns?
No. As in absolutely not. This system is designed with the goal to provide a statistically significant edge that will generate profits over a significant period of time. That is the goal. However, "significant period of time" is measured mostly in weeks, but sometimes in months. Drawdowns will occur, and they will occur regularly.
Question: Is the system 100% mechanical?
Yes. All entries and exits are tied to predetermined signals and rules. Even the "risk of ruin" stop is predetermined (i.e. how do you know if the system is broken).
Question: How do you handle a complete failure of the system? How do you know it happened?
If the system has a drawdown of 19%, trading will be temporarily halted to assess the situation. Refer to the backtest results in the forums and you will see that a 19% drawdown is approximately 2 standard deviations above the average of max drawdowns against the unique historical simulations.
========================================
== 4. Backtest Methodology & Results
========================================
The backtest results presented in the forums are not meant to determine the future performance of the system. Rather, they reflect the soundness of the system, and the possibility of solid future performance.
I take the following approach with my mechanical trading systems.
1) Only build systems with hundreds or thousands of trades (or more).
2) Minimize the number of discrete variables used to generate signals.
3) Give some account of friction.
Per point 3, I add broker fees and liquidity requirements to my backtesting. I use Interactive Brokers' commission structure as a model, and require every trade be made on stocks that are moving greater than $10M dollars a day of volume.
1 & 2 together help safeguard against curve-fitting historic data. However, even with such an approach, I do not believe the statistics from a single, optimized backtest are sufficient to describe a trading system. I therefore go a step further to define the performance potential of the system.
4) Add a random variable to every signal generated, such that there is a 10% chance that any signal will be ignored and the next, lower-ranked signal is taken instead.
5) Run through the system hundreds of times. The random variable, combined with the hundreds or thousands of potential trades (see point 1), ensures each run generates a unique set of trades.
I then build histograms of the performance of several key variables. This approach yields a much more accurate view of "what could have happened". Of course, past results are no guarantee of future performance.
In the forums, you will find the results listed for several critical variables from my backtesting of JayTrader Two. Over 1000 individual runs were made, each yielding unique results.
The test results are documented in the system's discussion forum so there is a historical record when changes are made to the system.
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010 | 5.5 | -7.7 | 2.5 | 12.1 | 4.3 | -5.4 | -17.1 | 3.4 | -5.2 | ||||
| 2011 | 3.5 | 5.7 | 0.4 | -2.5 | -6.4 | -0.6 | -0.9 | -0.4 | -0.4 | -0.4 | -0.4 | 0.0 | -2.6 |
| 2012 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2013 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2014 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2015 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2016 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2017 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2018 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2019 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | ||
| 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 |
Statistics
Overview
| Strategy began | 5/11/2010 |
|---|---|
| Suggested Minimum Capital | $10,000 |
| Age | 199 months |
| What it trades | Stocks |
| # Trades | 250 |
| # Profitable | 148 |
| % Profitable | 59.2% |
| Avg trade duration | 3.4 days |
| Max peak-to-valley drawdown | 24.9% |
| drawdown period | Oct 04, 2010 - June 17, 2011 |
| Annual Return (Compounded) | -0.5% |
| Avg win | $97 |
| Avg loss | $133 |
Ratios
| W:L ratio | 1.05 |
|---|---|
| Sharpe Ratio | -0.38 |
| Sortino Ratio | -0.49 |
| Calmar Ratio | 0.02 |
CORRELATION STATISTICS
| Correlation to SP500 | 0.03 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 560.6% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -568.4% |
Return Statistics
| Ann Return (w trading costs) | -0.5% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | -0.0% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 0.4% |
Slump
| Current Slump as Pcnt Equity | 28.5% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 1.0% |
Instruments
| Percent Trades Forex | 0.0% |
|---|---|
| Percent Trades Futures | 0.0% |
| Percent Trades Options | 0.0% |
| Percent Trades Stocks | 1.0% |
Risk of Ruin (Monte-Carlo)
| Chance of 10% account loss | 100.0% |
|---|---|
| Chance of 20% account loss | 100.0% |
| Chance of 30% account loss | 0.0% |
| 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% |
| Chance of 100% account loss (Monte Carlo) | — |
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 | $133 |
|---|---|
| Avg Win | $97 |
| # Winners | 148 |
| Sum Trade PL (losers) | $13,585 |
| Sum Trade PL (winners) | $14,342 |
| Num Months Winners | 9 |
| # Losers | 102 |
| % Winners | 59.2% |
Dividends
| Dividends Received in Model Acct | -13 |
|---|
Age
| Num Months filled monthly returns table | 197 |
|---|
Frequency
| Avg Position Time (mins) | 4958.85 |
|---|---|
| Avg Position Time (hrs) | 82.65 |
| Avg Trade Length | 3.40 |
| Last Trade Ago | 5549 |
Regression
| Alpha | -0.01 |
|---|---|
| Beta | 0.01 |
| Treynor Index | -0.59 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.01 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0.01 |
| MAE:Equity, average, losing trades | 0.02 |
| 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 | -28.43 |
| MAE:PL (avg, all trades) | 2.28 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 42.05 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 86.07 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.70 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.32 |
| Hold-and-Hope Ratio | -0.04 |
RATIO STATISTICS
| Mean | 0.01 |
|---|---|
| SD | 0.10 |
| Sharpe ratio (Glass type estimate) | 0.09 |
| Sharpe ratio (Hedges UMVUE) | 0.09 |
| df | 55 |
| t | 0.20 |
| p | 0.42 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.82 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.00 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.82 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.00 |
| Sortino ratio | 0.12 |
| Upside Potential Ratio | 0.86 |
| Upside part of mean | 0.07 |
| Downside part of mean | -0.06 |
| Upside SD | 0.06 |
| Downside SD | 0.08 |
| N nonnegative terms | 50 |
| N negative terms | 6 |
| N of observations | 56 |
| Mean of predictor | 0.45 |
| Mean of criterion | 0.01 |
| SD of predictor | 0.22 |
| SD of criterion | 0.10 |
| Covariance | -0.00 |
| r | -0.01 |
| b (slope, estimate of beta) | -0.01 |
| a (intercept, estimate of alpha) | 0.01 |
| Mean Square Error | 0.01 |
| DF error | 54 |
| t(b) | -0.10 |
| p(b) | 0.54 |
| t(a) | 0.22 |
| p(a) | 0.41 |
| Lowerbound of 95% confidence interval for beta | -0.13 |
| Upperbound of 95% confidence interval for beta | 0.12 |
| Lowerbound of 95% confidence interval for alpha | -0.10 |
| Upperbound of 95% confidence interval for alpha | 0.12 |
| Treynor index (mean / b) | -1.54 |
| Jensen alpha (a) | 0.01 |
| Mean | 0.00 |
| SD | 0.10 |
| Sharpe ratio (Glass type estimate) | 0.04 |
| Sharpe ratio (Hedges UMVUE) | 0.04 |
| df | 55 |
| t | 0.09 |
| p | 0.47 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.87 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.95 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.87 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.95 |
| Sortino ratio | 0.05 |
| Upside Potential Ratio | 0.79 |
| Upside part of mean | 0.06 |
| Downside part of mean | -0.06 |
| Upside SD | 0.06 |
| Downside SD | 0.08 |
| N nonnegative terms | 50 |
| N negative terms | 6 |
| N of observations | 56 |
| Mean of predictor | 0.42 |
| Mean of criterion | 0.00 |
| SD of predictor | 0.21 |
| SD of criterion | 0.10 |
| Covariance | -0.00 |
| r | -0.01 |
| b (slope, estimate of beta) | -0.00 |
| a (intercept, estimate of alpha) | 0.01 |
| Mean Square Error | 0.01 |
| DF error | 54 |
| t(b) | -0.06 |
| p(b) | 0.52 |
| t(a) | 0.10 |
| p(a) | 0.46 |
| Lowerbound of 95% confidence interval for beta | -0.13 |
| Upperbound of 95% confidence interval for beta | 0.13 |
| Lowerbound of 95% confidence interval for alpha | -0.10 |
| Upperbound of 95% confidence interval for alpha | 0.12 |
| Treynor index (mean / b) | -1.12 |
| Jensen alpha (a) | 0.01 |
| VaR(95%) | 0.05 |
| Expected Shortfall on VaR | 0.06 |
| VaR(95%) | 0.00 |
| Expected Shortfall on VaR | 0.01 |
| Mean | 0.02 |
| SD | 0.17 |
| Sharpe ratio (Glass type estimate) | 0.11 |
| Sharpe ratio (Hedges UMVUE) | 0.11 |
| df | 1223 |
| t | 0.23 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.80 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.02 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.80 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.01 |
| Sortino ratio | 0.15 |
| Upside Potential Ratio | 3.49 |
| Upside part of mean | 0.41 |
| Downside part of mean | -0.40 |
| Upside SD | 0.12 |
| Downside SD | 0.12 |
| N nonnegative terms | 1099 |
| N negative terms | 125 |
| N of observations | 1224 |
| Mean of predictor | 0.46 |
| Mean of criterion | 0.02 |
| SD of predictor | 0.31 |
| SD of criterion | 0.17 |
| Covariance | 0.00 |
| r | 0.05 |
| b (slope, estimate of beta) | 0.03 |
| a (intercept, estimate of alpha) | 0.01 |
| Mean Square Error | 0.03 |
| DF error | 1222 |
| t(b) | 1.81 |
| p(b) | 0.47 |
| t(a) | 0.07 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | -0.00 |
| Upperbound of 95% confidence interval for beta | 0.06 |
| Lowerbound of 95% confidence interval for alpha | -0.15 |
| Upperbound of 95% confidence interval for alpha | 0.16 |
| Treynor index (mean / b) | 0.65 |
| Jensen alpha (a) | 0.01 |
| Mean | 0.00 |
| SD | 0.17 |
| Sharpe ratio (Glass type estimate) | 0.02 |
| Sharpe ratio (Hedges UMVUE) | 0.02 |
| df | 1223 |
| t | 0.05 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.88 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.93 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.88 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.93 |
| Sortino ratio | 0.03 |
| Upside Potential Ratio | 3.33 |
| Upside part of mean | 0.41 |
| Downside part of mean | -0.40 |
| Upside SD | 0.12 |
| Downside SD | 0.12 |
| N nonnegative terms | 1099 |
| N negative terms | 125 |
| N of observations | 1224 |
| Mean of predictor | 0.42 |
| Mean of criterion | 0.00 |
| SD of predictor | 0.31 |
| SD of criterion | 0.17 |
| Covariance | 0.00 |
| r | 0.05 |
| b (slope, estimate of beta) | 0.03 |
| a (intercept, estimate of alpha) | -0.01 |
| Mean Square Error | 0.03 |
| DF error | 1222 |
| t(b) | 1.79 |
| p(b) | 0.47 |
| t(a) | -0.09 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | -0.00 |
| Upperbound of 95% confidence interval for beta | 0.06 |
| Lowerbound of 95% confidence interval for alpha | -0.16 |
| Upperbound of 95% confidence interval for alpha | 0.15 |
| Treynor index (mean / b) | 0.15 |
| Jensen alpha (a) | -0.01 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.02 |
| VaR(95%) | 0.00 |
| Expected Shortfall on VaR | 0.00 |
| Mean | 0 |
| SD | 0 |
| Sharpe ratio (Glass type estimate) | 0 |
| Sharpe ratio (Hedges UMVUE) | 0 |
| df | 0 |
| t | 0 |
| p | 0 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0 |
| Sortino ratio | 0 |
| Upside Potential Ratio | 0 |
| Upside part of mean | 0 |
| Downside part of mean | 0 |
| Upside SD | 0 |
| Downside SD | 0 |
| N nonnegative terms | 131 |
| N negative terms | 0 |
| N of observations | 131 |
| Mean of predictor | 1.15 |
| Mean of criterion | 0 |
| SD of predictor | 0.35 |
| SD of criterion | 0 |
| Covariance | 0 |
| r | 0 |
| b (slope, estimate of beta) | 0 |
| a (intercept, estimate of alpha) | 0 |
| Mean Square Error | 0 |
| DF error | 0 |
| t(b) | 0 |
| p(b) | 0 |
| t(a) | 0 |
| p(a) | 0 |
| Lowerbound of 95% confidence interval for beta | 0 |
| Upperbound of 95% confidence interval for beta | 0 |
| Lowerbound of 95% confidence interval for alpha | 0 |
| Upperbound of 95% confidence interval for alpha | 0 |
| Treynor index (mean / b) | 0 |
| Jensen alpha (a) | 0 |
| Mean | 0 |
| SD | 0 |
| Sharpe ratio (Glass type estimate) | 0 |
| Sharpe ratio (Hedges UMVUE) | 0 |
| df | 0 |
| t | 0 |
| p | 0 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0 |
| Sortino ratio | 0 |
| Upside Potential Ratio | 0 |
| Upside part of mean | 0 |
| Downside part of mean | 0 |
| Upside SD | 0 |
| Downside SD | 0 |
| N nonnegative terms | 131 |
| N negative terms | 0 |
| N of observations | 131 |
| Mean of predictor | 1.09 |
| Mean of criterion | 0 |
| SD of predictor | 0.35 |
| SD of criterion | 0 |
| Covariance | 0 |
| r | 0 |
| b (slope, estimate of beta) | 0 |
| a (intercept, estimate of alpha) | 0 |
| Mean Square Error | 0 |
| DF error | 0 |
| t(b) | 0 |
| p(b) | 0 |
| t(a) | 0 |
| p(a) | 0 |
| Lowerbound of 95% confidence interval for beta | 0 |
| VAR (95 Confidence Intrvl) | 0.02 |
| Upperbound of 95% confidence interval for beta | 0 |
| Lowerbound of 95% confidence interval for alpha | 0 |
| Upperbound of 95% confidence interval for alpha | 0 |
| Treynor index (mean / b) | 0 |
| Jensen alpha (a) | 0 |
| VaR(95%) | 0 |
| Expected Shortfall on VaR | 0 |
| VaR(95%) | 0 |
| Expected Shortfall on VaR | 0 |
ORDER STATISTICS
| Number of observations | 56 |
|---|---|
| Minimum | 0.86 |
| Quartile 1 | 1 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 1.10 |
| Mean of quarter 1 | 0.98 |
| Mean of quarter 2 | 1 |
| Mean of quarter 3 | 1 |
| Mean of quarter 4 | 1.02 |
| Inter Quartile Range | 0 |
| Number outliers low | 6 |
| Percentage of outliers low | 0.11 |
| Mean of outliers low | 0.96 |
| Number of outliers high | 8 |
| Percentage of outliers high | 0.14 |
| Mean of outliers high | 1.04 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 1.32 |
| VaR(95%) (regression method) | 0.02 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 1224 |
| Minimum | 0.90 |
| Quartile 1 | 1 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 1.11 |
| Mean of quarter 1 | 0.99 |
| Mean of quarter 2 | 1 |
| Mean of quarter 3 | 1 |
| Mean of quarter 4 | 1.01 |
| Inter Quartile Range | 0 |
| Number outliers low | 125 |
| Percentage of outliers low | 0.10 |
| Mean of outliers low | 0.99 |
| Number of outliers high | 144 |
| Percentage of outliers high | 0.12 |
| Mean of outliers high | 1.01 |
| Extreme Value Index (moments method) | 0.37 |
| VaR(95%) (moments method) | 0.00 |
| Expected Shortfall (moments method) | 0.01 |
| Extreme Value Index (regression method) | 0.26 |
| VaR(95%) (regression method) | 0.01 |
| Expected Shortfall (regression method) | 0.02 |
| Number of observations | 131 |
| Minimum | 1 |
| Quartile 1 | 1 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 1 |
| Mean of quarter 1 | 1 |
| Mean of quarter 2 | 1 |
| Mean of quarter 3 | 1 |
| Mean of quarter 4 | 1 |
| Inter Quartile Range | 0 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 0 |
| Percentage of outliers high | 0 |
| Mean of outliers high | 0 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 0 |
| VaR(95%) (regression method) | 0 |
| Expected Shortfall (regression method) | 0 |
DRAW DOWN STATISTICS
| Number of observations | 2 |
|---|---|
| Minimum | 0.11 |
| Quartile 1 | 0.12 |
| Median | 0.13 |
| Quartile 3 | 0.14 |
| Maximum | 0.15 |
| Mean of quarter 1 | 0.11 |
| Mean of quarter 2 | 0 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0.15 |
| Inter Quartile Range | 0.02 |
| 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 | 9 |
| Minimum | 0.00 |
| Quartile 1 | 0.02 |
| Median | 0.04 |
| Quartile 3 | 0.07 |
| Maximum | 0.20 |
| Mean of quarter 1 | 0.01 |
| Mean of quarter 2 | 0.03 |
| Mean of quarter 3 | 0.06 |
| Mean of quarter 4 | 0.14 |
| Inter Quartile Range | 0.06 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.11 |
| Mean of outliers high | 0.20 |
| Extreme Value Index (moments method) | 0.33 |
| VaR(95%) (moments method) | 0.15 |
| Expected Shortfall (moments method) | 0.25 |
| Extreme Value Index (regression method) | 2.95 |
| VaR(95%) (regression method) | 0.39 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 0 |
| Minimum | 0 |
| Quartile 1 | 0 |
| Median | 0 |
| Quartile 3 | 0 |
| Maximum | 0 |
| Mean of quarter 1 | 0 |
| Mean of quarter 2 | 0 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0 |
| Inter Quartile Range | 0 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 0 |
| Percentage of outliers high | 0 |
| Mean of outliers high | 0 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 0 |
| VaR(95%) (regression method) | 0 |
| Expected Shortfall (regression method) | 0 |
| Strat Max DD how much worse than SP500 max DD during strat life? | -378880512 |
| Max Equity Drawdown (num days) | 256 |
| Last 4 Months - Pcnt Negative | 0.0% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | 0.00 |
|---|---|
| Compounded annual return (geometric extrapolation) | 0.00 |
| Calmar ratio (compounded annual return / max draw down) | 0.03 |
| Compounded annual return / average of 25% largest draw downs | 0.03 |
| Compounded annual return / Expected Shortfall lognormal | 0.07 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.00 |
| Compounded annual return (geometric extrapolation) | 0.00 |
| Calmar ratio (compounded annual return / max draw down) | 0.02 |
| Compounded annual return / average of 25% largest draw downs | 0.03 |
| Compounded annual return / Expected Shortfall lognormal | 0.19 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0 |
| Compounded annual return (geometric extrapolation) | 0 |
| Calmar ratio (compounded annual return / max draw down) | 0 |
| Compounded annual return / average of 25% largest draw downs | 0 |
| Compounded annual return / Expected Shortfall lognormal | 0 |
Trading record
Placed 48 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| LULU | short | 32 | Jun 29, 2011 | Jul 5, 2011 | ($31) |
| ARIA | short | 155 | Jun 30, 2011 | Jul 1, 2011 | $98 |
| JVA | short | 120 | Jun 23, 2011 | Jun 28, 2011 | ($1) |
| ONTY | short | 220 | Jun 21, 2011 | Jun 21, 2011 | $99 |
| JVA | short | 248 | Jun 17, 2011 | Jun 20, 2011 | $197 |
| RAH | long | 34 | Jun 7, 2011 | Jun 13, 2011 | ($7) |
| ANF | long | 40 | Jun 6, 2011 | Jun 9, 2011 | ($231) |
| THOR | long | 88 | Jun 6, 2011 | Jun 9, 2011 | ($77) |
| DPS | long | 72 | Jun 6, 2011 | Jun 9, 2011 | ($45) |
| SO | long | 73 | May 31, 2011 | Jun 3, 2011 | ($43) |
| POM | long | 146 | May 26, 2011 | Jun 2, 2011 | $17 |
| MAKO | short | 53 | May 27, 2011 | May 31, 2011 | $100 |
| WR | long | 107 | May 25, 2011 | May 31, 2011 | $13 |
| RTI | long | 80 | May 24, 2011 | May 27, 2011 | $140 |
| AMRN | short | 100 | May 23, 2011 | May 26, 2011 | ($41) |
| AMT | long | 55 | May 20, 2011 | May 25, 2011 | $88 |
| WINN | short | 210 | May 19, 2011 | May 24, 2011 | ($82) |
| B | long | 121 | May 18, 2011 | May 23, 2011 | ($69) |
| MELI | long | 34 | May 16, 2011 | May 19, 2011 | $106 |
| ENTR | long | 330 | May 16, 2011 | May 19, 2011 | ($47) |
| ALKS | short | 108 | May 13, 2011 | May 18, 2011 | ($64) |
| GLBC | short | 63 | May 12, 2011 | May 17, 2011 | $61 |
| CLI | long | 83 | May 10, 2011 | May 13, 2011 | ($8) |
| KLIC | short | 317 | May 6, 2011 | May 12, 2011 | ($46) |
| BKS | short | 128 | May 9, 2011 | May 12, 2011 | $46 |
| REGN | long | 62 | May 4, 2011 | May 9, 2011 | $6 |
| TZOO | long | 42 | May 4, 2011 | May 9, 2011 | ($91) |
| MFN | long | 210 | May 4, 2011 | May 6, 2011 | ($414) |
| SPPI | long | 350 | May 4, 2011 | May 4, 2011 | ($420) |
| SFLY | short | 31 | Apr 29, 2011 | May 2, 2011 | $107 |
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.