TA Swing Trader
- hypothetical · Annual Return (Compounded)
- 0.4%
- Max Drawdown
- 9.9%
- Trades
- 264
- Win Trades
- 53.8%
- Profit Factor
- 1.40
- Win Months
- 2.0%
About this strategy
L.A.
TA Swing Trader primarily trades individual smaller captilization stock positions hedging with index ETFs for risk management. It is geared towards traders who seek advice on entry and exit points on a diversified portfolio that will outperform the general market with low risk/size of draw downs. Comparatively our Sharpe Ratio and W:L is among the best for stocks while our worst to-date drawdown is around 3%. Our ranking within C2 is extreme; approaching 1000. Add to all of this the fact that we offer thoughts most mornings and on each positional entry/change along with a concise reasoning for the move. This enables you to learn as you go. Questions are always welcomed.
We believe that the market can be successfully timed and that, over time, considerable wealth can be created as a result. We have a three-pronged approach to successful trading; (1) protect your capital (minimal drawdowns), (2) the use of technical analysis [TA] for market and stock "reads", and (3) using simple probabilities along with TA to determine risk and reward.
Our approach is technical and our track record suggests that, over time, the majority of our trades are closed successfully (we have been trading this system for 4+ years successfully). By trading historically successful setups and minimizing risk in any indvidual position, over time we produce superior results to the market as well as most other trading systems. We do all of this while maintaining miniscule drawdowns. Our approach is to cut losses short and to let winners run to reasonable target levels before trimming them. This is not a get rich quick system and conversely its NOT a get poor quickly system either.
We start with a top down approach; what is the general market and sector trend for the timeframe we are trading. Given that trend, each day we run scans picking and choosing setups that we like. The majority of trade recommendations for opening positions are made during the evening or early morning hours (outside normal market hours) to reduce your slippage and accomodate traders who cannot trade continually during the trading day. You see where we plan to buy and to sell and where our stops are. We always use stops, most of the time placing them at the same time we open the position. We place numerous orders of which, only a portion will be filled. Our system is built around successfully identifying support, resistance and both market and individual stock trends. We seek to enter a position when the risk to reward is in our favor and will pass on trades where that isnt the case. The portoflio will contain as many as 40 to 50 stocks at times when the general market trend supports such a position. We are adaptive however, and when the market doesnt support our desire to swing trade we either go to cash or primarily trade ETF positions. Generally we use ETF contracts to hedge when appropriate but we do speculate with them when the timing appears right. Many times we will average in and out of positions using varying time frames for each trade.
To trade the TA Swing Trader system, we make the following assumptions:
1. You need to trade most, if not all the positions recommended. A large part of the success of our system (and your success in using it) is built around the idea of managing risk through position size, varying time frames, and hedging the portfolio. Significant returns are achieved by consistenly utilizing the capital available and not allowing it to sit idle for significant time periods.
2. You need to trade in a similar proportion. The model portfolio provided by C2 is $100K as a starting point. You will need to determine your portfolio size relative to the size of this portfolio when you subscribe and trade in relative proportion. The vast majority of the trades you will see transacted in this portfolio will account for 2% to 3% of the overall net worth of the portfolio at that point in time. Exceptions are taken when the risk/reward for a particular trade are compelling and/or when hedging a portfolio using ETF instruments.
3. You need to use stops. Almost, if not all positions, will have stops associated with them when opened. Sometimes we will lose on a stop when we could have stayed in, but in general, stops are protection and are needed as part of the risk management. We will adjust stops as the trade develops and we will scale in and out of positions as time passes either trimming or closing trades as targets are hit or conditions warrant.
We trade instruments offered primarily on NYSE, NASDAQ and AMEX exchanges.
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2006 | 3.3 | 3.9 | -0.7 | 5.8 | 6.7 | -1.3 | -1.0 | -4.3 | -2.7 | -0.0 | -0.0 | 9.4 | |
| 2007 | -0.0 | -0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | 0.2 |
| 2008 | -0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -0.5 |
| 2009 | 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 |
| 2010 | 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 |
| 2011 | 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 |
| 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 | 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 | 2/5/2006 |
|---|---|
| Suggested Minimum Capital | $100,000 |
| Age | 251 months |
| What it trades | Stocks |
| # Trades | 264 |
| # Profitable | 142 |
| % Profitable | 53.8% |
| Avg trade duration | 8.1 days |
| Max peak-to-valley drawdown | 9.9% |
| drawdown period | July 07, 2006 - Jan 19, 2008 |
| Annual Return (Compounded) | 0.4% |
| Avg win | $265 |
| Avg loss | $214 |
Ratios
| W:L ratio | 1.43 |
|---|---|
| Sharpe Ratio | -0.74 |
| Sortino Ratio | -1.18 |
| Calmar Ratio | -0.00 |
CORRELATION STATISTICS
| Correlation to SP500 | 0.01 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 503.1% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -496.6% |
Return Statistics
| Ann Return (w trading costs) | 0.4% |
|---|---|
| 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 | 11.0% |
|---|---|
| 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 | 0.0% |
|---|---|
| Chance of 20% account loss | 0.0% |
| 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) | 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 | $214 |
|---|---|
| Avg Win | $265 |
| # Winners | 142 |
| Sum Trade PL (losers) | $26,054 |
| Sum Trade PL (winners) | $37,603 |
| Num Months Winners | 8 |
| # Losers | 122 |
| % Winners | 53.8% |
Dividends
| Dividends Received in Model Acct | -246 |
|---|
Age
| Num Months filled monthly returns table | 248 |
|---|
Frequency
| Avg Position Time (mins) | 11617.38 |
|---|---|
| Avg Position Time (hrs) | 193.62 |
| Avg Trade Length | 8.10 |
| Last Trade Ago | 7282 |
Regression
| Alpha | 0 |
|---|---|
| Beta | 0 |
| Treynor Index | -2.93 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0 |
| MAE:Equity, average, losing trades | 0 |
| MAE:Equity, losing trades only, 95th Percentile Value for this strat | — |
| MAE:Equity, average, winning trades | 0 |
| MAE:Equity, win trades only, 95th Percentile Value for this strat | — |
| Avg(MAE) / Avg(PL) - All trades | 3.79 |
| MAE:PL (avg, all trades) | 0.12 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 42.74 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 55.82 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.35 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.18 |
| Hold-and-Hope Ratio | 0.26 |
RATIO STATISTICS
| Mean | 0.00 |
|---|---|
| SD | 0.05 |
| Sharpe ratio (Glass type estimate) | 0.02 |
| Sharpe ratio (Hedges UMVUE) | 0.02 |
| df | 85 |
| t | 0.04 |
| p | 0.48 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.72 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.75 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.72 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.75 |
| Sortino ratio | 0.02 |
| Upside Potential Ratio | 0.64 |
| Upside part of mean | 0.02 |
| Downside part of mean | -0.02 |
| Upside SD | 0.03 |
| Downside SD | 0.03 |
| N nonnegative terms | 78 |
| N negative terms | 8 |
| N of observations | 86 |
| Mean of predictor | 0.20 |
| Mean of criterion | 0.00 |
| SD of predictor | 0.26 |
| SD of criterion | 0.05 |
| Covariance | 0.00 |
| r | 0.01 |
| b (slope, estimate of beta) | 0.00 |
| a (intercept, estimate of alpha) | 0.00 |
| Mean Square Error | 0.00 |
| DF error | 84 |
| t(b) | 0.11 |
| p(b) | 0.46 |
| t(a) | 0.02 |
| p(a) | 0.49 |
| Lowerbound of 95% confidence interval for beta | -0.04 |
| Upperbound of 95% confidence interval for beta | 0.04 |
| Lowerbound of 95% confidence interval for alpha | -0.03 |
| Upperbound of 95% confidence interval for alpha | 0.04 |
| Treynor index (mean / b) | 0.36 |
| Jensen alpha (a) | 0.00 |
| Mean | -0.00 |
| SD | 0.05 |
| Sharpe ratio (Glass type estimate) | -0.01 |
| Sharpe ratio (Hedges UMVUE) | -0.01 |
| df | 85 |
| t | -0.02 |
| p | 0.51 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.74 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.73 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.74 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.73 |
| Sortino ratio | -0.01 |
| Upside Potential Ratio | 0.61 |
| Upside part of mean | 0.02 |
| Downside part of mean | -0.02 |
| Upside SD | 0.03 |
| Downside SD | 0.03 |
| N nonnegative terms | 78 |
| N negative terms | 8 |
| N of observations | 86 |
| Mean of predictor | 0.17 |
| Mean of criterion | -0.00 |
| SD of predictor | 0.26 |
| SD of criterion | 0.05 |
| Covariance | 0.00 |
| r | 0.02 |
| b (slope, estimate of beta) | 0.00 |
| a (intercept, estimate of alpha) | -0.00 |
| Mean Square Error | 0.00 |
| DF error | 84 |
| t(b) | 0.17 |
| p(b) | 0.43 |
| t(a) | -0.05 |
| p(a) | 0.52 |
| Lowerbound of 95% confidence interval for beta | -0.04 |
| Upperbound of 95% confidence interval for beta | 0.04 |
| Lowerbound of 95% confidence interval for alpha | -0.04 |
| Upperbound of 95% confidence interval for alpha | 0.03 |
| Treynor index (mean / b) | -0.09 |
| Jensen alpha (a) | -0.00 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.03 |
| VaR(95%) | 0.00 |
| Expected Shortfall on VaR | 0.00 |
| Mean | 0.00 |
| SD | 0.10 |
| Sharpe ratio (Glass type estimate) | 0.05 |
| Sharpe ratio (Hedges UMVUE) | 0.05 |
| df | 1883 |
| t | 0.13 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.68 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.78 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.68 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.78 |
| Sortino ratio | 0.07 |
| Upside Potential Ratio | 1.83 |
| Upside part of mean | 0.13 |
| Downside part of mean | -0.13 |
| Upside SD | 0.07 |
| Downside SD | 0.07 |
| N nonnegative terms | 1749 |
| N negative terms | 135 |
| N of observations | 1884 |
| Mean of predictor | 0.27 |
| Mean of criterion | 0.00 |
| SD of predictor | 0.51 |
| SD of criterion | 0.10 |
| Covariance | -0.00 |
| r | -0.06 |
| b (slope, estimate of beta) | -0.01 |
| a (intercept, estimate of alpha) | 0.01 |
| Mean Square Error | 0.01 |
| DF error | 1882 |
| t(b) | -2.67 |
| p(b) | 0.53 |
| t(a) | 0.22 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | -0.02 |
| Upperbound of 95% confidence interval for beta | -0.00 |
| Lowerbound of 95% confidence interval for alpha | -0.07 |
| Upperbound of 95% confidence interval for alpha | 0.08 |
| Treynor index (mean / b) | -0.40 |
| Jensen alpha (a) | 0.01 |
| Mean | -0.00 |
| SD | 0.10 |
| Sharpe ratio (Glass type estimate) | -0.00 |
| Sharpe ratio (Hedges UMVUE) | -0.00 |
| df | 1883 |
| t | -0.01 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.73 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.73 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.73 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.73 |
| Sortino ratio | -0.00 |
| Upside Potential Ratio | 1.74 |
| Upside part of mean | 0.13 |
| Downside part of mean | -0.13 |
| Upside SD | 0.07 |
| Downside SD | 0.07 |
| N nonnegative terms | 1749 |
| N negative terms | 135 |
| N of observations | 1884 |
| Mean of predictor | 0.14 |
| Mean of criterion | -0.00 |
| SD of predictor | 0.50 |
| SD of criterion | 0.10 |
| Covariance | -0.00 |
| r | -0.06 |
| b (slope, estimate of beta) | -0.01 |
| a (intercept, estimate of alpha) | 0.00 |
| Mean Square Error | 0.01 |
| DF error | 1882 |
| t(b) | -2.62 |
| p(b) | 0.53 |
| t(a) | 0.04 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | -0.02 |
| Upperbound of 95% confidence interval for beta | -0.00 |
| Lowerbound of 95% confidence interval for alpha | -0.07 |
| Upperbound of 95% confidence interval for alpha | 0.08 |
| Treynor index (mean / b) | 0.02 |
| Jensen alpha (a) | 0.00 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.01 |
| 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 | 0.82 |
| Mean of criterion | 0 |
| SD of predictor | 0.54 |
| 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 | 0.67 |
| Mean of criterion | 0 |
| SD of predictor | 0.55 |
| 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) | 0.01 |
| 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 | 86 |
|---|---|
| Minimum | 0.93 |
| Quartile 1 | 1 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 1.06 |
| 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 | 8 |
| Percentage of outliers low | 0.09 |
| Mean of outliers low | 0.98 |
| Number of outliers high | 10 |
| Percentage of outliers high | 0.12 |
| Mean of outliers high | 1.02 |
| Extreme Value Index (moments method) | -5.12 |
| VaR(95%) (moments method) | -0.00 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 0.32 |
| VaR(95%) (regression method) | 0.00 |
| Expected Shortfall (regression method) | 0.04 |
| Number of observations | 1884 |
| Minimum | 0.92 |
| Quartile 1 | 1 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 1.09 |
| Mean of quarter 1 | 1.00 |
| Mean of quarter 2 | 1 |
| Mean of quarter 3 | 1 |
| Mean of quarter 4 | 1.00 |
| Inter Quartile Range | 0 |
| Number outliers low | 135 |
| Percentage of outliers low | 0.07 |
| Mean of outliers low | 0.99 |
| Number of outliers high | 127 |
| Percentage of outliers high | 0.07 |
| Mean of outliers high | 1.01 |
| Extreme Value Index (moments method) | 0.78 |
| VaR(95%) (moments method) | 0.00 |
| Expected Shortfall (moments method) | 0.01 |
| Extreme Value Index (regression method) | 0 |
| VaR(95%) (regression method) | 0 |
| Expected Shortfall (regression method) | 0 |
| 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 | 0.07 |
| Quartile 1 | 0.07 |
| Median | 0.07 |
| Quartile 3 | 0.07 |
| Maximum | 0.07 |
| Mean of quarter 1 | 0.07 |
| Mean of quarter 2 | 0 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0.07 |
| Inter Quartile Range | 0.00 |
| 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 | 12 |
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.02 |
| Quartile 3 | 0.06 |
| Maximum | 0.11 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.04 |
| Mean of quarter 4 | 0.09 |
| 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) | -1.90 |
| VaR(95%) (moments method) | 0.10 |
| Expected Shortfall (moments method) | 0.10 |
| Extreme Value Index (regression method) | -0.18 |
| VaR(95%) (regression method) | 0.11 |
| Expected Shortfall (regression method) | 0.12 |
| 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? | -383002880 |
| Max Equity Drawdown (num days) | 561 |
| 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) | -0.00 |
| Compounded annual return / average of 25% largest draw downs | -0.00 |
| Compounded annual return / Expected Shortfall lognormal | -0.01 |
| 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) | -0.00 |
| Compounded annual return / average of 25% largest draw downs | -0.00 |
| Compounded annual return / Expected Shortfall lognormal | -0.02 |
| 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 73 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| IWM | short | 300 | Oct 2, 2006 | Oct 5, 2006 | ($345) |
| TIBX | long | 500 | Sep 29, 2006 | Oct 5, 2006 | $120 |
| DBRN | short | 600 | Sep 18, 2006 | Oct 5, 2006 | ($894) |
| SPY | short | 1500 | Aug 15, 2006 | Oct 5, 2006 | ($1,888) |
| NDAQ | long | 200 | Sep 25, 2006 | Oct 2, 2006 | ($336) |
| USO | long | 800 | Sep 26, 2006 | Oct 2, 2006 | $195 |
| NEW | short | 300 | Sep 19, 2006 | Sep 26, 2006 | ($225) |
| BAC | short | 300 | Aug 28, 2006 | Sep 25, 2006 | ($216) |
| USO | long | 1000 | Sep 22, 2006 | Sep 22, 2006 | ($1,135) |
| USO | long | 600 | Sep 15, 2006 | Sep 20, 2006 | ($1,253) |
| FDG | short | 100 | Aug 7, 2006 | Sep 13, 2006 | $179 |
| ASH | short | 100 | Aug 24, 2006 | Sep 13, 2006 | $142 |
| PENN | short | 250 | Aug 9, 2006 | Sep 13, 2006 | $803 |
| MAN | short | 300 | Aug 31, 2006 | Sep 12, 2006 | ($479) |
| KEY | short | 300 | Sep 8, 2006 | Sep 12, 2006 | ($174) |
| QQQQ | short | 800 | Sep 7, 2006 | Sep 12, 2006 | ($285) |
| BWLD | short | 700 | Sep 1, 2006 | Sep 11, 2006 | ($630) |
| PNC | short | 200 | Aug 28, 2006 | Sep 5, 2006 | ($264) |
| ARRS | short | 300 | Aug 24, 2006 | Sep 1, 2006 | ($165) |
| NITE | short | 400 | Aug 30, 2006 | Aug 31, 2006 | ($288) |
| HHS | short | 150 | Aug 15, 2006 | Aug 31, 2006 | ($147) |
| PKX | short | 100 | Aug 7, 2006 | Aug 29, 2006 | ($149) |
| AET | short | 200 | Aug 24, 2006 | Aug 28, 2006 | ($204) |
| IMN | short | 300 | Aug 10, 2006 | Aug 16, 2006 | ($252) |
| MSCC | long | 400 | Aug 11, 2006 | Aug 16, 2006 | $905 |
| CHRW | short | 100 | Aug 10, 2006 | Aug 16, 2006 | ($316) |
| HUBG | short | 200 | Aug 10, 2006 | Aug 15, 2006 | ($336) |
| SPY | short | 250 | Aug 2, 2006 | Aug 14, 2006 | $155 |
| HAE | short | 400 | Aug 8, 2006 | Aug 14, 2006 | ($246) |
| PPDI | long | 100 | Aug 7, 2006 | Aug 10, 2006 | $55 |
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.