Dave's Trader1688 ATM
(12964930)
Subscription terms. Subscriptions to this system cost $168.00 per month.
C2Star
C2Star is a certification program for trading strategies. In order to become "C2Star Certified," a strategy must apply tight risk controls, and must exhibit excellent performance characteristics, including low drawdowns.
You can read more about C2Star certification requirements here.
Note that: all trading strategies are risky, and C2Star Certification does not imply that a strategy is low risk.
Rate of Return Calculations
Overview
To comply with NFA regulations, we display Cumulative Rate of Return for strategies with a track record of less than one year. For strategies with longer track records, we display Annualized (Compounded) Rate of Return.
How Annualized (Compounded) Rate of Return is calculated
= ((Ending_equity / Starting_equity) ^ (1 / age_in_years)) - 1
Remember that, following NFA requirements, strategy subscription costs and estimated commissions are included in marked-to-market equity calculations.
All results are hypothetical.
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2005 | +22.1% | +78.7% | +18.4% | +15.6% | +62.3% | (4.4%) | (3.8%) | +19.7% | +19.0% | +5.7% | +8.5% | (15.2%) | +517.9% |
2006 | (0.9%) | +10.4% | (0.4%) | (8.1%) | +10.1% | +3.7% | (11.7%) | +0.1% | +7.6% | +14.0% | +16.4% | (0.4%) | +43.7% |
2007 | (13.8%) | +21.7% | +6.2% | (1.6%) | (11.1%) | +6.9% | (9.8%) | +7.6% | +2.0% | (4.2%) | +4.6% | +26.4% | +30.8% |
2008 | +1.6% | - | - | - | (0.5%) | - | - | - | - | - | - | - | +1.1% |
2009 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2010 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2011 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2012 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2013 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2014 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2015 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2016 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2017 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2018 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2019 | - | - | - | - | - | - | - | - | - | - | - | 0.0 | |
2020 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2021 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2022 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2023 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
2024 | - | - | - | 0.0 |
Model Account Details
A trading strategy on Collective2. Follow it in your broker account, or use a free simulated trading account.
Advanced users may want to use this information to adjust their AutoTrade scaling, or merely to understand the magnitudes of the nearby chart.
Started | $100,000 | |
Buy Power | $1,293,080 | |
Cash | $1 | |
Equity | $1 | |
Cumulative $ | $1,193,080 | |
Includes dividends and cash-settled expirations: | ($700) | Itemized |
Total System Equity | $1,293,080 | |
Margined | $1 | |
Open P/L | $0 | |
Data has been delayed by 168 hours for non-subscribers |
System developer has asked us to delay this information by 168 hours.
Trading Record
Statistics
-
Strategy began1/22/2005
-
Suggested Minimum Cap$100,000
-
Strategy Age (days)6999.63
-
Age234 months ago
-
What it tradesStocks
-
# Trades465
-
# Profitable371
-
% Profitable79.80%
-
Avg trade duration9.3 days
-
Max peak-to-valley drawdown33.9%
-
drawdown periodFeb 22, 2007 - Aug 06, 2007
-
Annual Return (Compounded)13.7%
-
Avg win$5,169
-
Avg loss$7,702
- Model Account Values (Raw)
-
Cash$1,293,080
-
Margin Used$0
-
Buying Power$1,293,080
- Ratios
-
W:L ratio2.65:1
-
Sharpe Ratio0.48
-
Sortino Ratio0.94
-
Calmar Ratio0.03
- CORRELATION STATISTICS
-
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)726.57%
-
Correlation to SP5000.03400
-
Return Percent SP500 (cumu) during strategy life349.63%
- Return Statistics
-
Ann Return (w trading costs)13.7%
- Slump
-
Current Slump as Pcnt Equity9.20%
- Instruments
-
Percent Trades Futures0.01%
- Slump
-
Current Slump, time of slump as pcnt of strategy life0.85%
- Return Statistics
-
Return Pcnt Since TOS Statusn/a
-
Return Pcnt (Compound or Annual, age-based, NFA compliant)0.137%
- Instruments
-
Percent Trades Options0.04%
-
Percent Trades Stocks0.95%
-
Percent Trades Forexn/a
- Return Statistics
-
Ann Return (Compnd, No Fees)14.3%
- Risk of Ruin (Monte-Carlo)
-
Chance of 10% account loss100.00%
-
Chance of 20% account loss100.00%
-
Chance of 30% account loss100.00%
-
Chance of 40% account lossn/a
-
Chance of 60% account loss (Monte Carlo)n/a
-
Chance of 70% account loss (Monte Carlo)n/a
-
Chance of 80% account loss (Monte Carlo)n/a
-
Chance of 90% account loss (Monte Carlo)n/a
-
Chance of 100% account loss (Monte Carlo)n/a
- Automation
-
Percentage Signals Automatedn/a
- Risk of Ruin (Monte-Carlo)
-
Chance of 50% account lossn/a
- Popularity
-
Popularity (Today)0
-
Popularity (Last 6 weeks)0
- Trading Style
-
Any stock shorts? 0/11
- Popularity
-
Popularity (7 days, Percentile 1000 scale)0
- Trades-Own-System Certification
-
Trades Own System?-
-
TOS percentn/a
- Win / Loss
-
Avg Loss$7,702
-
Avg Win$5,169
-
Sum Trade PL (losers)$723,999.000
- Age
-
Num Months filled monthly returns table231
- Win / Loss
-
Sum Trade PL (winners)$1,917,780.000
-
# Winners371
-
Num Months Winners26
- Dividends
-
Dividends Received in Model Acct-700
- Win / Loss
-
# Losers94
-
% Winners79.8%
- Frequency
-
Avg Position Time (mins)13386.10
-
Avg Position Time (hrs)223.10
-
Avg Trade Length9.3 days
-
Last Trade Ago5916
- Regression
-
Alpha0.03
-
Beta0.04
-
Treynor Index0.86
- Maximum Adverse Excursion (MAE)
-
MAE:Equity, average, all trades0.01
-
MAE:PL - Winning Trades - this strat Percentile of All Strats78.09
-
MAE:PL - worst single value for strategy-
-
MAE:PL - Losing Trades - this strat Percentile of All Strats22.54
-
MAE:PL (avg, winning trades)-
-
MAE:PL (avg, losing trades)-
-
MAE:PL (avg, all trades)2.26
-
MAE:Equity, average, winning trades0.01
-
MAE:Equity, average, losing trades0.02
-
Avg(MAE) / Avg(PL) - All trades2.261
-
MAE:Equity, losing trades only, 95th Percentile Value for this strat-
-
MAE:Equity, win trades only, 95th Percentile Value for this strat-
-
MAE:Equity, 95th Percentile Value for this strat0.01
-
Avg(MAE) / Avg(PL) - Winning trades0.706
-
Avg(MAE) / Avg(PL) - Losing trades-1.242
-
Hold-and-Hope Ratio0.442
- Analysis based on MONTHLY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean0.14945
-
SD0.39004
-
Sharpe ratio (Glass type estimate)0.38316
-
Sharpe ratio (Hedges UMVUE)0.38033
-
df102.00000
-
t1.12255
-
p0.44477
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.28882
-
Upperbound of 95% confidence interval for Sharpe Ratio1.05329
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.29069
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.05136
- Statistics related to Sortino ratio
-
Sortino ratio0.53220
-
Upside Potential Ratio1.12805
-
Upside part of mean0.31677
-
Downside part of mean-0.16732
-
Upside SD0.27141
-
Downside SD0.28081
-
N nonnegative terms76.00000
-
N negative terms27.00000
- Statistics related to linear regression on benchmark
-
N of observations103.00000
-
Mean of predictor0.14803
-
Mean of criterion0.14945
-
SD of predictor0.24246
-
SD of criterion0.39004
-
Covariance0.01200
-
r0.12692
-
b (slope, estimate of beta)0.20418
-
a (intercept, estimate of alpha)0.11922
-
Mean Square Error0.15117
-
DF error101.00000
-
t(b)1.28591
-
p(b)0.10071
-
t(a)0.88461
-
p(a)0.18923
-
Lowerbound of 95% confidence interval for beta-0.11080
-
Upperbound of 95% confidence interval for beta0.51916
-
Lowerbound of 95% confidence interval for alpha-0.14813
-
Upperbound of 95% confidence interval for alpha0.38658
-
Treynor index (mean / b)0.73195
-
Jensen alpha (a)0.11922
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean0.02637
-
SD0.58967
-
Sharpe ratio (Glass type estimate)0.04471
-
Sharpe ratio (Hedges UMVUE)0.04438
-
df102.00000
-
t0.13099
-
p0.49351
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.62440
-
Upperbound of 95% confidence interval for Sharpe Ratio0.71363
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.62464
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0.71340
- Statistics related to Sortino ratio
-
Sortino ratio0.04902
-
Upside Potential Ratio0.53264
-
Upside part of mean0.28648
-
Downside part of mean-0.26012
-
Upside SD0.23474
-
Downside SD0.53786
-
N nonnegative terms76.00000
-
N negative terms27.00000
- Statistics related to linear regression on benchmark
-
N of observations103.00000
-
Mean of predictor0.11745
-
Mean of criterion0.02637
-
SD of predictor0.24805
-
SD of criterion0.58967
-
Covariance0.02830
-
r0.19345
-
b (slope, estimate of beta)0.45987
-
a (intercept, estimate of alpha)-0.02765
-
Mean Square Error0.33801
-
DF error101.00000
-
t(b)1.98156
-
p(b)0.02512
-
t(a)-0.13802
-
p(a)0.55475
-
Lowerbound of 95% confidence interval for beta-0.00050
-
Upperbound of 95% confidence interval for beta0.92025
-
Lowerbound of 95% confidence interval for alpha-0.42500
-
Upperbound of 95% confidence interval for alpha0.36971
-
Treynor index (mean / b)0.05733
-
Jensen alpha (a)-0.02765
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.24255
-
Expected Shortfall on VaR0.29318
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.01827
-
Expected Shortfall on VaR0.04940
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations103.00000
-
Minimum0.21089
-
Quartile 11.00000
-
Median1.00000
-
Quartile 31.00000
-
Maximum1.53541
-
Mean of quarter 10.94476
-
Mean of quarter 21.00000
-
Mean of quarter 31.00000
-
Mean of quarter 41.10457
-
Inter Quartile Range0.00000
-
Number outliers low16.00000
-
Percentage of outliers low0.15534
-
Mean of outliers low0.91024
-
Number of outliers high25.00000
-
Percentage of outliers high0.24272
-
Mean of outliers high1.10876
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)-3.62808
-
VaR(95%) (moments method)0.00023
-
Expected Shortfall (moments method)0.00023
-
Extreme Value Index (regression method)0.89226
-
VaR(95%) (regression method)0.03287
-
Expected Shortfall (regression method)0.46252
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations4.00000
-
Minimum0.00460
-
Quartile 10.02720
-
Median0.08027
-
Quartile 30.29162
-
Maximum0.78910
-
Mean of quarter 10.00460
-
Mean of quarter 20.03474
-
Mean of quarter 30.12579
-
Mean of quarter 40.78910
-
Inter Quartile Range0.26442
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high1.00000
-
Percentage of outliers high0.25000
-
Mean of outliers high0.78910
- Risk estimates based on draw downs (based on Extreme Value T
-
Extreme Value Index (moments method)0.00000
-
VaR(95%) (moments method)0.00000
-
Expected Shortfall (moments method)0.00000
-
Extreme Value Index (regression method)0.00000
-
VaR(95%) (regression method)0.00000
-
Expected Shortfall (regression method)0.00000
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)0.02959
-
Compounded annual return (geometric extrapolation)0.02672
-
Calmar ratio (compounded annual return / max draw down)0.03386
-
Compounded annual return / average of 25% largest draw downs0.03386
-
Compounded annual return / Expected Shortfall lognormal0.09112
-
0.00000
-
0.00000
- Analysis based on DAILY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean0.82301
-
SD1.30648
-
Sharpe ratio (Glass type estimate)0.62994
-
Sharpe ratio (Hedges UMVUE)0.62973
-
df2253.00000
-
t1.84768
-
p0.03239
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.03859
-
Upperbound of 95% confidence interval for Sharpe Ratio1.29836
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.03874
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.29821
- Statistics related to Sortino ratio
-
Sortino ratio1.24463
-
Upside Potential Ratio3.70728
-
Upside part of mean2.45143
-
Downside part of mean-1.62842
-
Upside SD1.12760
-
Downside SD0.66125
-
N nonnegative terms1839.00000
-
N negative terms415.00000
- Statistics related to linear regression on benchmark
-
N of observations2254.00000
-
Mean of predictor0.27617
-
Mean of criterion0.82301
-
SD of predictor0.55448
-
SD of criterion1.30648
-
Covariance0.24166
-
r0.33360
-
b (slope, estimate of beta)0.78604
-
a (intercept, estimate of alpha)0.60600
-
Mean Square Error1.51761
-
DF error2252.00000
-
t(b)16.79300
-
p(b)0.00000
-
t(a)1.44200
-
p(a)0.07472
-
Lowerbound of 95% confidence interval for beta0.69425
-
Upperbound of 95% confidence interval for beta0.87783
-
Lowerbound of 95% confidence interval for alpha-0.21809
-
Upperbound of 95% confidence interval for alpha1.42996
-
Treynor index (mean / b)1.04703
-
Jensen alpha (a)0.60593
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean0.02630
-
SD1.32830
-
Sharpe ratio (Glass type estimate)0.01980
-
Sharpe ratio (Hedges UMVUE)0.01980
-
df2253.00000
-
t0.05809
-
p0.47684
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.64842
-
Upperbound of 95% confidence interval for Sharpe Ratio0.68803
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.64843
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0.68802
- Statistics related to Sortino ratio
-
Sortino ratio0.02504
-
Upside Potential Ratio1.94519
-
Upside part of mean2.04366
-
Downside part of mean-2.01735
-
Upside SD0.81228
-
Downside SD1.05062
-
N nonnegative terms1839.00000
-
N negative terms415.00000
- Statistics related to linear regression on benchmark
-
N of observations2254.00000
-
Mean of predictor0.12579
-
Mean of criterion0.02630
-
SD of predictor0.54712
-
SD of criterion1.32830
-
Covariance0.23853
-
r0.32823
-
b (slope, estimate of beta)0.79687
-
a (intercept, estimate of alpha)-0.07393
-
Mean Square Error1.57499
-
DF error2252.00000
-
t(b)16.48970
-
p(b)0.00000
-
t(a)-0.17277
-
p(a)0.56858
-
Lowerbound of 95% confidence interval for beta0.70210
-
Upperbound of 95% confidence interval for beta0.89164
-
Lowerbound of 95% confidence interval for alpha-0.91308
-
Upperbound of 95% confidence interval for alpha0.76522
-
Treynor index (mean / b)0.03301
-
Jensen alpha (a)-0.07393
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.12618
-
Expected Shortfall on VaR0.15525
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.00580
-
Expected Shortfall on VaR0.01754
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations2254.00000
-
Minimum0.12392
-
Quartile 11.00000
-
Median1.00000
-
Quartile 31.00000
-
Maximum2.45861
-
Mean of quarter 10.97516
-
Mean of quarter 21.00000
-
Mean of quarter 31.00000
-
Mean of quarter 41.03739
-
Inter Quartile Range0.00000
-
Number outliers low415.00000
-
Percentage of outliers low0.18412
-
Mean of outliers low0.96624
-
Number of outliers high429.00000
-
Percentage of outliers high0.19033
-
Mean of outliers high1.04916
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)0.83695
-
VaR(95%) (moments method)0.00576
-
Expected Shortfall (moments method)0.04650
-
Extreme Value Index (regression method)0.00000
-
VaR(95%) (regression method)0.00000
-
Expected Shortfall (regression method)0.00000
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations16.00000
-
Minimum0.04544
-
Quartile 10.09888
-
Median0.20707
-
Quartile 30.49893
-
Maximum0.88554
-
Mean of quarter 10.05113
-
Mean of quarter 20.14205
-
Mean of quarter 30.29054
-
Mean of quarter 40.63752
-
Inter Quartile Range0.40005
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high0.00000
-
Percentage of outliers high0.00000
-
Mean of outliers high0.00000
- Risk estimates based on draw downs (based on Extreme Value T
-
Extreme Value Index (moments method)0.20017
-
VaR(95%) (moments method)0.70308
-
Expected Shortfall (moments method)0.88914
-
Extreme Value Index (regression method)1.62867
-
VaR(95%) (regression method)0.73803
-
Expected Shortfall (regression method)0.00000
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)0.02952
-
Compounded annual return (geometric extrapolation)0.02665
-
Calmar ratio (compounded annual return / max draw down)0.03010
-
Compounded annual return / average of 25% largest draw downs0.04181
-
Compounded annual return / Expected Shortfall lognormal0.17169
-
0.00000
-
0.00000
- Analysis based on DAILY values, last 6 months only
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean0.00000
-
SD0.00000
-
Sharpe ratio (Glass type estimate)0.00000
-
Sharpe ratio (Hedges UMVUE)0.00000
-
df0.00000
-
t0.00000
-
p0.00000
-
Lowerbound of 95% confidence interval for Sharpe Ratio0.00000
-
Upperbound of 95% confidence interval for Sharpe Ratio0.00000
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.00000
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0.00000
- Statistics related to Sortino ratio
-
Sortino ratio0.00000
-
Upside Potential Ratio0.00000
-
Upside part of mean0.00000
-
Downside part of mean0.00000
-
Upside SD0.00000
-
Downside SD0.00000
-
N nonnegative terms131.00000
-
N negative terms0.00000
- Statistics related to linear regression on benchmark
-
N of observations131.00000
-
Mean of predictor0.99007
-
Mean of criterion0.00000
-
SD of predictor0.51281
-
SD of criterion0.00000
-
Covariance0.00000
-
r0.00000
-
b (slope, estimate of beta)0.00000
-
a (intercept, estimate of alpha)0.00000
-
Mean Square Error0.00000
-
DF error0.00000
-
t(b)0.00000
-
p(b)0.00000
-
t(a)0.00000
-
p(a)0.00000
-
Lowerbound of 95% confidence interval for beta0.00000
-
Upperbound of 95% confidence interval for beta0.00000
-
Lowerbound of 95% confidence interval for alpha0.00000
-
Upperbound of 95% confidence interval for alpha0.00000
-
Treynor index (mean / b)0.00000
-
Jensen alpha (a)0.00000
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean0.00000
-
SD0.00000
-
Sharpe ratio (Glass type estimate)0.00000
-
Sharpe ratio (Hedges UMVUE)0.00000
-
df0.00000
-
t0.00000
-
p0.00000
-
Lowerbound of 95% confidence interval for Sharpe Ratio0.00000
-
Upperbound of 95% confidence interval for Sharpe Ratio0.00000
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.00000
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0.00000
- Statistics related to Sortino ratio
-
Sortino ratio0.00000
-
Upside Potential Ratio0.00000
-
Upside part of mean0.00000
-
Downside part of mean0.00000
-
Upside SD0.00000
-
Downside SD0.00000
-
N nonnegative terms131.00000
-
N negative terms0.00000
- Statistics related to linear regression on benchmark
-
N of observations131.00000
-
Mean of predictor0.85272
-
Mean of criterion0.00000
-
SD of predictor0.52880
-
SD of criterion0.00000
-
Covariance0.00000
-
r0.00000
-
b (slope, estimate of beta)0.00000
-
a (intercept, estimate of alpha)0.00000
-
Mean Square Error0.00000
-
DF error0.00000
-
t(b)0.00000
-
p(b)0.00000
-
t(a)0.00000
-
p(a)0.00000
-
VAR (95 Confidence Intrvl)0.12600
-
Lowerbound of 95% confidence interval for beta0.00000
-
Upperbound of 95% confidence interval for beta0.00000
-
Lowerbound of 95% confidence interval for alpha0.00000
-
Upperbound of 95% confidence interval for alpha0.00000
-
Treynor index (mean / b)0.00000
-
Jensen alpha (a)0.00000
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.00000
-
Expected Shortfall on VaR0.00000
- assuming Pareto losses only (using partial moments from Sortino statistics)
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VaR(95%)0.00000
-
Expected Shortfall on VaR0.00000
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations131.00000
-
Minimum1.00000
-
Quartile 11.00000
-
Median1.00000
-
Quartile 31.00000
-
Maximum1.00000
-
Mean of quarter 11.00000
-
Mean of quarter 21.00000
-
Mean of quarter 31.00000
-
Mean of quarter 41.00000
-
Inter Quartile Range0.00000
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high0.00000
-
Percentage of outliers high0.00000
-
Mean of outliers high0.00000
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)0.00000
-
VaR(95%) (moments method)0.00000
-
Expected Shortfall (moments method)0.00000
-
Extreme Value Index (regression method)0.00000
-
VaR(95%) (regression method)0.00000
-
Expected Shortfall (regression method)0.00000
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations0.00000
-
Minimum0.00000
-
Quartile 10.00000
-
Median0.00000
-
Quartile 30.00000
-
Maximum0.00000
-
Mean of quarter 10.00000
-
Mean of quarter 20.00000
-
Mean of quarter 30.00000
-
Mean of quarter 40.00000
-
Inter Quartile Range0.00000
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high0.00000
-
Percentage of outliers high0.00000
-
Mean of outliers high0.00000
- Risk estimates based on draw downs (based on Extreme Value T
-
Extreme Value Index (moments method)0.00000
-
VaR(95%) (moments method)0.00000
-
Expected Shortfall (moments method)0.00000
-
Extreme Value Index (regression method)0.00000
-
VaR(95%) (regression method)0.00000
-
Last 4 Months - Pcnt Negativen/a
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Expected Shortfall (regression method)0.00000
-
Strat Max DD how much worse than SP500 max DD during strat life?-346924000
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Max Equity Drawdown (num days)165
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)0.00000
-
Compounded annual return (geometric extrapolation)0.00000
-
Calmar ratio (compounded annual return / max draw down)0.00000
-
Compounded annual return / average of 25% largest draw downs0.00000
-
Compounded annual return / Expected Shortfall lognormal0.00000
Strategy Description
Stock picking, timing, money management are all necessary parts for successful trading.
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Notice: THIS SYSTEM WILL NOT ACCEPT SUBSCRIPTION ANY MORE.
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FAQs.
This is for your information only. It is not a recommendation for every reader. Your money your decision.
Q1. Whats the way to get trade signal?
A1. Via email and/or ITM (instant trade messager).
Q2. Whats the fastest way to get trade signal?
A2. ITM is highly recommended. ITM almost gets the signal immediately after it is published.
Q3. Can I repeat the performance if I use this system?
A3. Hope so. However you need to understand this is a simulation system. Even if you can get 1/2, 1/3, 1/4 of the system performance, you get a good deal.
Q4. When does this system issue trade signal?
A4. It could issue at any time. However please watch for the last 10 minutes before the market closes. Some very good trades could be issued during this time.
Q5. How often do you issue trade signal?
A5. It depends on the market situation. Only serious trades are published.
Q6. What can I get from this sytem?
A6. Money management, stock picking, timing, market psycology.
Q7. Do you have your own website?
A7. Not yet, but will have.
Q8. How can we communicate with system developer?
A8. You can send private message to system developer. Also there is a message board for people to discuss and provide feedback.
Q9. If I am a first time user of this system, what should I do?
A9. First, you need to get famaliar with the terms at collectvie2. Then you might want to do a research on this system. I recommend people do some research before subscribing to the system. If you do not feel comfortable, do not subscribe.
Q10. Does system developer put real money in the positions in this system?
A10. Yes. System developer does not publish trades which does not involve real money.
Q11. How do I maximize my performance if I subscribe to the system?
A11. This system provides a platform for a better performance, you can get a better return if you can adjust your position size percentage over the account value, entry point, time frame. For good chart traders, they might be able to get a better eny point.
Q12. Does the system issue trade signal based on FA (fundamental analysis) or TA (technical analysis)?
A12. Both. The system provides good candidates to trade for long and short sell. For each trade, the fundmental of the stock is considered.
Q13. Does your real trade exactly follow this system?
A13. No. For all kinds of reasons, I will try to make the system easy to follow. For example, some people have concern of daytrade limit, I will try to have interday trade instead of daytrade. For example, in my real trade I may trade more frequently to catch some small waves, but in this system, I might try to avoid small waves so it is easier to follow.
Q14. For every trade signal you give, should I follow the same size?
A14. There are two factors related to the size you should follow. First one is your account size. You need to consider your account size and the system account size. The second one is the vol of the stock. As you know, this is a hypothetical result. You need to take the vol of the stock into consideration. If the size you follow is too large for the stock, you might get trouble and put you own on risk.
Q15. Why was your system flat for about one month?
A15. A good trader not only needs to know when to trade, he/she also needs to know when not to trade. He/she not only needs to know when to trade aggressively, but also needs to know when to trade defensively.
Q16. The trade on 3/10/05 at 14:31 when the system ordered STO 50000 shares of BOOM at $29.76, the order value was $1488000 at a time when the account value was, by my calculations neglecting commissions, well under $280000. This would require a margin ratio above 5:1, much higher than my Scottrade margin account allows. How was that possible?
A16. C2 recorded the average price of the trade. Here I just give an example to explain. For example, if my accounts maximum buying power is only able to buy 5K BOOM at 44. Then I buy 5K BOOM at 44. Ten minutes later, I sell 4.9k BOOM at 45; then I buy back 5K BOOM at 44, then sell 5K BOOM at 45, then buy 4.9k BOOM at 44, then sell 5K BOOM at 45. At last, C2 will record as " BTO 15K BOOM at 44, STC 15K BOOM at 45" which is much more than my buying power.
Q17. Why is your P/L per unit small?
A17. Because sometimes I traded large size penny stocks and they average the P/L per unit donw. For example, you can check these two trades out to see:
BTO100,000TEKC0.878/23/05 13:59STC100,0000.848/23/05 16:01($3,000)$0$0($3,000)
BTO90,000MPET3.097/22/05 12:30STC90,0003.228/3/05 14:43$11,997$0$0$11,997
Most values on this page (including the Strategy Equity Chart, above) have been adjusted by estimated trading commissions and subscription costs.
Some advanced users find it useful to see "raw" Model Account values. These numbers do not include any commissions, fees, subscription costs, or dividend actions.
Strategy developers can "archive" strategies at any time. This means the strategy Model Account is reset to its initial level and the trade list cleared. However, all archived track records are permanently preserved for evaluation by potential subscribers.
About the results you see on this Web site
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.
In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program, which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.
Material assumptions and methods used when calculating results
The following are material assumptions used when calculating any hypothetical monthly results that appear on our web site.
- Profits are reinvested. We assume profits (when there are profits) are reinvested in the trading strategy.
- Starting investment size. For any trading strategy on our site, hypothetical results are based on the assumption that you invested the starting amount shown on the strategy's performance chart. In some cases, nominal dollar amounts on the equity chart have been re-scaled downward to make current go-forward trading sizes more manageable. In these cases, it may not have been possible to trade the strategy historically at the equity levels shown on the chart, and a higher minimum capital was required in the past.
- All fees are included. When calculating cumulative returns, we try to estimate and include all the fees a typical trader incurs when AutoTrading using AutoTrade technology. This includes the subscription cost of the strategy, plus any per-trade AutoTrade fees, plus estimated broker commissions if any.
- "Max Drawdown" Calculation Method. We calculate the Max Drawdown statistic as follows. Our computer software looks at the equity chart of the system in question and finds the largest percentage amount that the equity chart ever declines from a local "peak" to a subsequent point in time (thus this is formally called "Maximum Peak to Valley Drawdown.") While this is useful information when evaluating trading systems, you should keep in mind that past performance does not guarantee future results. Therefore, future drawdowns may be larger than the historical maximum drawdowns you see here.
Trading is risky
There is a substantial risk of loss in futures and forex trading. Online trading of stocks and options is extremely risky. Assume you will lose money. Don't trade with money you cannot afford to lose.
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Suggested Minimum Capital
This is our estimate of the minimum amount of capital to follow a strategy, assuming you use the smallest reasonable AutoTrade Scaling % for the strategy.