This system has earned Trades-Own-Strategy (TOS) Certification.
This means that the manager of this system trades his own strategy
in a real-life, funded brokerage account.
Trades-Own-Strategy (TOS) Certification Details
Certification process started
06/01/2023
Most recent certification approved
6/1/23 9:32 ET
Trades at broker
Israel Interactive Trading
Scaling percentage used
100%
# trading signals issued by system since certification
28
# trading signals executed in manager's Israel Interactive Trading account
28
Percent signals followed since 06/01/2023
100%
This information was last updated
11/24/24 6:17 ET
Warning: System trading results are still hypothetical.
Even though the system developer is currently trading his own system in a real-life brokerage account,
the trading results presented on this Web site must still be regarded as purely hypothetical results.
This is because (among other reasons) the system developer may not have traded all signals,
particularly those that occurred before 06/01/2023,
and the system developer's results may not match the system results presented here. In addition,
not all subscribers have received the same trades or prices as the system manager has. For these reasons, and others, it is extremely important you remember the following:
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.
Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program.
One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. 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.
You may be interested to learn more technical details about
how Collective2 calculates the hypothetical results you see on this web site.
BuildWealth
(144798539)
Powered by
BrokerTransmit.
Read important
disclosures.
This system has earned Trades-Own-Strategy (TOS) Certification. This means that the manager of this system trades his own strategy in a real-life, funded brokerage account.
Trades-Own-Strategy (TOS) Certification Details | |
---|---|
Certification process started | 06/01/2023 |
Most recent certification approved | 6/1/23 9:32 ET |
Trades at broker | Israel Interactive Trading |
Scaling percentage used | 100% |
# trading signals issued by system since certification | 28 |
# trading signals executed in manager's Israel Interactive Trading account | 28 |
Percent signals followed since 06/01/2023 | 100% |
This information was last updated | 11/24/24 6:17 ET |
Warning: System trading results are still hypothetical.
Even though the system developer is currently trading his own system in a real-life brokerage account, the trading results presented on this Web site must still be regarded as purely hypothetical results. This is because (among other reasons) the system developer may not have traded all signals, particularly those that occurred before 06/01/2023, and the system developer's results may not match the system results presented here. In addition, not all subscribers have received the same trades or prices as the system manager has. For these reasons, and others, it is extremely important you remember the following:
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. Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program.
One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. 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.
You may be interested to learn more technical details about how Collective2 calculates the hypothetical results you see on this web site.
Powered by
BrokerTransmit.
Read important
disclosures.
Subscription terms. Subscriptions to this system cost $149.00 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.
Momentum
Aims to capitalize on the continuance of existing trends in the market. Trader takes a long position in an asset in an upward trend, and short-sells a security that has been in a downward trend. While similar to Trend-following, tends to be more forward-looking (predicting oncoming trend), while Momentum is more backward-looking (observing already-established price direction).Event-driven
Seeks to exploit pricing inefficiencies that may occur before or after a corporate event, such as an earnings call, bankruptcy, merger, acquisition, or spinoff.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 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023 | +33.8% | +3.6% | (5.7%) | (2.2%) | +5.0% | +8.5% | +8.2% | +57.5% | |||||
2024 | (0.8%) | +22.0% | +37.5% | (18.7%) | +12.9% | (7%) | +2.8% | +1.9% | +8.0% | +31.7% | +57.4% | +232.5% |
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 | $15,000 | |
Buy Power | $75,879 | |
Cash | $18,962 | |
Equity | $56,917 | |
Cumulative $ | $66,905 | |
Total System Equity | $81,905 | |
Margined | $0 | |
Open P/L | $56,917 |
Trading Record
Statistics
-
Strategy began6/1/2023
-
Suggested Minimum Cap$15,000
-
Strategy Age (days)541.95
-
Age18 months ago
-
What it tradesStocks
-
# Trades6
-
# Profitable5
-
% Profitable83.30%
-
Avg trade duration139.3 days
-
Max peak-to-valley drawdown31.02%
-
drawdown periodMarch 28, 2024 - Sept 06, 2024
-
Annual Return (Compounded)203.3%
-
Avg win$13,466
-
Avg loss$425.00
- Model Account Values (Raw)
-
Cash$18,962
-
Margin Used$0
-
Buying Power$75,879
- Ratios
-
W:L ratio158.43:1
-
Sharpe Ratio2.21
-
Sortino Ratio4.02
-
Calmar Ratio14.546
- CORRELATION STATISTICS
-
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)382.24%
-
Correlation to SP5000.19320
-
Return Percent SP500 (cumu) during strategy life41.42%
- Return Statistics
-
Ann Return (w trading costs)203.3%
- Slump
-
Current Slump as Pcnt Equity14.50%
- Instruments
-
Percent Trades Futuresn/a
- Slump
-
Current Slump, time of slump as pcnt of strategy life0.01%
- Instruments
-
Short Options - Percent Covered100.00%
- Return Statistics
-
Return Pcnt (Compound or Annual, age-based, NFA compliant)2.033%
- Instruments
-
Percent Trades Optionsn/a
-
Percent Trades Stocks1.00%
-
Percent Trades Forexn/a
- Return Statistics
-
Ann Return (Compnd, No Fees)213.0%
- Risk of Ruin (Monte-Carlo)
-
Chance of 10% account lossn/a
-
Chance of 20% account lossn/a
-
Chance of 30% account lossn/a
-
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
- Automation
-
Percentage Signals Automatedn/a
- Risk of Ruin (Monte-Carlo)
-
Chance of 50% account lossn/a
- Popularity
-
Popularity (Today)798
-
Popularity (Last 6 weeks)978
- Trading Style
-
Any stock shorts? 0/10
- Popularity
-
C2 Score957
-
Popularity (7 days, Percentile 1000 scale)976
- Trades-Own-System Certification
-
Trades Own System?Yes
-
TOS percent100%
- Win / Loss
-
Avg Loss$425
-
Avg Win$13,466
-
Sum Trade PL (losers)$425.000
- Age
-
Num Months filled monthly returns table18
- Win / Loss
-
Sum Trade PL (winners)$67,332.000
-
# Winners5
-
Num Months Winners13
- Dividends
-
Dividends Received in Model Acct0
- AUM
-
AUM (AutoTrader live capital)84335
- Win / Loss
-
# Losers1
-
% Winners83.3%
- Frequency
-
Avg Position Time (mins)200618.00
-
Avg Position Time (hrs)3343.64
-
Avg Trade Length139.3 days
-
Last Trade Ago32
- Leverage
-
Daily leverage (average)0.27
-
Daily leverage (max)0.93
- Regression
-
Alpha0.29
-
Beta0.63
-
Treynor Index0.52
- Maximum Adverse Excursion (MAE)
-
MAE:Equity, average, all trades0.02
-
MAE:PL - worst single value for strategy-
-
MAE:PL (avg, winning trades)-
-
MAE:PL (avg, losing trades)-
-
MAE:PL (avg, all trades)-0.13
-
MAE:Equity, average, winning trades0.02
-
MAE:Equity, average, losing trades0.03
-
Avg(MAE) / Avg(PL) - All trades0.039
-
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 strat0.03
-
Avg(MAE) / Avg(PL) - Winning trades0.028
-
Avg(MAE) / Avg(PL) - Losing trades-1.456
-
Hold-and-Hope Ratio5.142
- Analysis based on MONTHLY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean1.51978
-
SD0.68657
-
Sharpe ratio (Glass type estimate)2.21359
-
Sharpe ratio (Hedges UMVUE)2.05855
-
df11.00000
-
t2.21359
-
p0.02446
-
Lowerbound of 95% confidence interval for Sharpe Ratio0.01031
-
Upperbound of 95% confidence interval for Sharpe Ratio4.33542
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.08187
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.19897
- Statistics related to Sortino ratio
-
Sortino ratio13.78890
-
Upside Potential Ratio15.49140
-
Upside part of mean1.70742
-
Downside part of mean-0.18765
-
Upside SD0.78258
-
Downside SD0.11022
-
N nonnegative terms8.00000
-
N negative terms4.00000
- Statistics related to linear regression on benchmark
-
N of observations12.00000
-
Mean of predictor0.30205
-
Mean of criterion1.51978
-
SD of predictor0.06943
-
SD of criterion0.68657
-
Covariance0.01544
-
r0.32402
-
b (slope, estimate of beta)3.20428
-
a (intercept, estimate of alpha)0.55194
-
Mean Square Error0.46408
-
DF error10.00000
-
t(b)1.08306
-
p(b)0.15210
-
t(a)0.49119
-
p(a)0.31695
-
Lowerbound of 95% confidence interval for beta-3.38779
-
Upperbound of 95% confidence interval for beta9.79636
-
Lowerbound of 95% confidence interval for alpha-1.95176
-
Upperbound of 95% confidence interval for alpha3.05563
-
Treynor index (mean / b)0.47430
-
Jensen alpha (a)0.55194
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean1.27168
-
SD0.57247
-
Sharpe ratio (Glass type estimate)2.22138
-
Sharpe ratio (Hedges UMVUE)2.06579
-
df11.00000
-
t2.22138
-
p0.02412
-
Lowerbound of 95% confidence interval for Sharpe Ratio0.01661
-
Upperbound of 95% confidence interval for Sharpe Ratio4.34450
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.07584
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.20743
- Statistics related to Sortino ratio
-
Sortino ratio11.15860
-
Upside Potential Ratio12.85690
-
Upside part of mean1.46523
-
Downside part of mean-0.19355
-
Upside SD0.64976
-
Downside SD0.11396
-
N nonnegative terms8.00000
-
N negative terms4.00000
- Statistics related to linear regression on benchmark
-
N of observations12.00000
-
Mean of predictor0.29553
-
Mean of criterion1.27168
-
SD of predictor0.06749
-
SD of criterion0.57247
-
Covariance0.01265
-
r0.32741
-
b (slope, estimate of beta)2.77729
-
a (intercept, estimate of alpha)0.45089
-
Mean Square Error0.32185
-
DF error10.00000
-
t(b)1.09577
-
p(b)0.14943
-
t(a)0.47986
-
p(a)0.32083
-
Lowerbound of 95% confidence interval for beta-2.87006
-
Upperbound of 95% confidence interval for beta8.42463
-
Lowerbound of 95% confidence interval for alpha-1.64276
-
Upperbound of 95% confidence interval for alpha2.54455
-
Treynor index (mean / b)0.45788
-
Jensen alpha (a)0.45089
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.15283
-
Expected Shortfall on VaR0.20791
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.02749
-
Expected Shortfall on VaR0.05734
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations12.00000
-
Minimum0.92553
-
Quartile 10.98998
-
Median1.07116
-
Quartile 31.23676
-
Maximum1.58157
-
Mean of quarter 10.94117
-
Mean of quarter 21.01924
-
Mean of quarter 31.14894
-
Mean of quarter 41.40655
-
Inter Quartile Range0.24678
-
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)-105.81000
-
VaR(95%) (moments method)0.05959
-
Expected Shortfall (moments method)0.00000
-
Extreme Value Index (regression method)-3.24044
-
VaR(95%) (regression method)0.10971
-
Expected Shortfall (regression method)0.11012
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations3.00000
-
Minimum0.00185
-
Quartile 10.01818
-
Median0.03452
-
Quartile 30.08573
-
Maximum0.13694
-
Mean of quarter 10.00185
-
Mean of quarter 20.03452
-
Mean of quarter 30.00000
-
Mean of quarter 40.13694
-
Inter Quartile Range0.06754
-
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
-
Expected Shortfall (regression method)0.00000
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)2.66777
-
Compounded annual return (geometric extrapolation)2.66777
-
Calmar ratio (compounded annual return / max draw down)19.48180
-
Compounded annual return / average of 25% largest draw downs19.48180
-
Compounded annual return / Expected Shortfall lognormal12.83150
-
0.00000
-
0.00000
- Analysis based on DAILY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean1.66978
-
SD0.50359
-
Sharpe ratio (Glass type estimate)3.31576
-
Sharpe ratio (Hedges UMVUE)3.30684
-
df279.00000
-
t3.42777
-
p0.00035
-
Lowerbound of 95% confidence interval for Sharpe Ratio1.39713
-
Upperbound of 95% confidence interval for Sharpe Ratio5.22863
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation1.39117
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation5.22251
- Statistics related to Sortino ratio
-
Sortino ratio6.59992
-
Upside Potential Ratio13.55300
-
Upside part of mean3.42891
-
Downside part of mean-1.75913
-
Upside SD0.44646
-
Downside SD0.25300
-
N nonnegative terms139.00000
-
N negative terms141.00000
- Statistics related to linear regression on benchmark
-
N of observations280.00000
-
Mean of predictor0.30986
-
Mean of criterion1.66978
-
SD of predictor0.16319
-
SD of criterion0.50359
-
Covariance0.01413
-
r0.17194
-
b (slope, estimate of beta)0.53061
-
a (intercept, estimate of alpha)1.50500
-
Mean Square Error0.24699
-
DF error278.00000
-
t(b)2.91024
-
p(b)0.00195
-
t(a)3.10995
-
p(a)0.00103
-
Lowerbound of 95% confidence interval for beta0.17169
-
Upperbound of 95% confidence interval for beta0.88952
-
Lowerbound of 95% confidence interval for alpha0.55250
-
Upperbound of 95% confidence interval for alpha2.45823
-
Treynor index (mean / b)3.14693
-
Jensen alpha (a)1.50536
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean1.54165
-
SD0.49427
-
Sharpe ratio (Glass type estimate)3.11905
-
Sharpe ratio (Hedges UMVUE)3.11065
-
df279.00000
-
t3.22441
-
p0.00071
-
Lowerbound of 95% confidence interval for Sharpe Ratio1.20287
-
Upperbound of 95% confidence interval for Sharpe Ratio5.02981
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation1.19725
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation5.02406
- Statistics related to Sortino ratio
-
Sortino ratio5.91184
-
Upside Potential Ratio12.78470
-
Upside part of mean3.33391
-
Downside part of mean-1.79226
-
Upside SD0.42953
-
Downside SD0.26077
-
N nonnegative terms139.00000
-
N negative terms141.00000
- Statistics related to linear regression on benchmark
-
N of observations280.00000
-
Mean of predictor0.29637
-
Mean of criterion1.54165
-
SD of predictor0.16336
-
SD of criterion0.49427
-
Covariance0.01433
-
r0.17747
-
b (slope, estimate of beta)0.53699
-
a (intercept, estimate of alpha)1.38250
-
Mean Square Error0.23746
-
DF error278.00000
-
t(b)3.00683
-
p(b)0.00144
-
t(a)2.91460
-
p(a)0.00193
-
Lowerbound of 95% confidence interval for beta0.18543
-
Upperbound of 95% confidence interval for beta0.88854
-
Lowerbound of 95% confidence interval for alpha0.44875
-
Upperbound of 95% confidence interval for alpha2.31625
-
Treynor index (mean / b)2.87093
-
Jensen alpha (a)1.38250
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.04337
-
Expected Shortfall on VaR0.05544
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.01536
-
Expected Shortfall on VaR0.03177
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations280.00000
-
Minimum0.88380
-
Quartile 10.99404
-
Median0.99999
-
Quartile 31.01683
-
Maximum1.12911
-
Mean of quarter 10.97543
-
Mean of quarter 20.99793
-
Mean of quarter 31.00600
-
Mean of quarter 41.04656
-
Inter Quartile Range0.02279
-
Number outliers low10.00000
-
Percentage of outliers low0.03571
-
Mean of outliers low0.93879
-
Number of outliers high22.00000
-
Percentage of outliers high0.07857
-
Mean of outliers high1.08163
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)0.19133
-
VaR(95%) (moments method)0.01978
-
Expected Shortfall (moments method)0.03186
-
Extreme Value Index (regression method)0.08843
-
VaR(95%) (regression method)0.02470
-
Expected Shortfall (regression method)0.03813
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations24.00000
-
Minimum0.00059
-
Quartile 10.00623
-
Median0.02149
-
Quartile 30.05094
-
Maximum0.26154
-
Mean of quarter 10.00268
-
Mean of quarter 20.01155
-
Mean of quarter 30.03733
-
Mean of quarter 40.11509
-
Inter Quartile Range0.04471
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high1.00000
-
Percentage of outliers high0.04167
-
Mean of outliers high0.26154
- Risk estimates based on draw downs (based on Extreme Value T
-
Extreme Value Index (moments method)-0.26809
-
VaR(95%) (moments method)0.11385
-
Expected Shortfall (moments method)0.14166
-
Extreme Value Index (regression method)0.48150
-
VaR(95%) (regression method)0.11264
-
Expected Shortfall (regression method)0.21793
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)4.07181
-
Compounded annual return (geometric extrapolation)3.80451
-
Calmar ratio (compounded annual return / max draw down)14.54640
-
Compounded annual return / average of 25% largest draw downs33.05620
-
Compounded annual return / Expected Shortfall lognormal68.62050
-
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
-
Mean2.46225
-
SD0.69898
-
Sharpe ratio (Glass type estimate)3.52262
-
Sharpe ratio (Hedges UMVUE)3.50226
-
df130.00000
-
t2.49087
-
p0.39328
-
Lowerbound of 95% confidence interval for Sharpe Ratio0.71147
-
Upperbound of 95% confidence interval for Sharpe Ratio6.32071
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.69795
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation6.30657
- Statistics related to Sortino ratio
-
Sortino ratio6.82661
-
Upside Potential Ratio15.41040
-
Upside part of mean5.55829
-
Downside part of mean-3.09604
-
Upside SD0.61473
-
Downside SD0.36068
-
N nonnegative terms65.00000
-
N negative terms66.00000
- Statistics related to linear regression on benchmark
-
N of observations131.00000
-
Mean of predictor0.31625
-
Mean of criterion2.46225
-
SD of predictor0.18582
-
SD of criterion0.69898
-
Covariance0.02356
-
r0.18137
-
b (slope, estimate of beta)0.68225
-
a (intercept, estimate of alpha)2.24649
-
Mean Square Error0.47617
-
DF error129.00000
-
t(b)2.09468
-
p(b)0.38517
-
t(a)2.28930
-
p(a)0.37504
-
Lowerbound of 95% confidence interval for beta0.03783
-
Upperbound of 95% confidence interval for beta1.32666
-
Lowerbound of 95% confidence interval for alpha0.30497
-
Upperbound of 95% confidence interval for alpha4.18801
-
Treynor index (mean / b)3.60904
-
Jensen alpha (a)2.24649
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean2.21539
-
SD0.68652
-
Sharpe ratio (Glass type estimate)3.22699
-
Sharpe ratio (Hedges UMVUE)3.20834
-
df130.00000
-
t2.28183
-
p0.40188
-
Lowerbound of 95% confidence interval for Sharpe Ratio0.42160
-
Upperbound of 95% confidence interval for Sharpe Ratio6.02033
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.40924
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation6.00745
- Statistics related to Sortino ratio
-
Sortino ratio5.95221
-
Upside Potential Ratio14.45180
-
Upside part of mean5.37891
-
Downside part of mean-3.16352
-
Upside SD0.58984
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Downside SD0.37220
-
N nonnegative terms65.00000
-
N negative terms66.00000
- Statistics related to linear regression on benchmark
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N of observations131.00000
-
Mean of predictor0.29887
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Mean of criterion2.21539
-
SD of predictor0.18616
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SD of criterion0.68652
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Covariance0.02405
-
r0.18815
-
b (slope, estimate of beta)0.69385
-
a (intercept, estimate of alpha)2.00802
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Mean Square Error0.45815
-
DF error129.00000
-
t(b)2.17583
-
p(b)0.38093
-
t(a)2.08741
-
p(a)0.38555
-
VAR (95 Confidence Intrvl)0.04300
-
Lowerbound of 95% confidence interval for beta0.06292
-
Upperbound of 95% confidence interval for beta1.32478
-
Lowerbound of 95% confidence interval for alpha0.10475
-
Upperbound of 95% confidence interval for alpha3.91129
-
Treynor index (mean / b)3.19289
-
Jensen alpha (a)2.00802
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.05947
-
Expected Shortfall on VaR0.07587
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.02755
-
Expected Shortfall on VaR0.05142
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations131.00000
-
Minimum0.88380
-
Quartile 10.98043
-
Median1.00002
-
Quartile 31.03034
-
Maximum1.12911
-
Mean of quarter 10.96154
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Mean of quarter 20.99176
-
Mean of quarter 31.01664
-
Mean of quarter 41.06829
-
Inter Quartile Range0.04992
-
Number outliers low1.00000
-
Percentage of outliers low0.00763
-
Mean of outliers low0.88380
-
Number of outliers high5.00000
-
Percentage of outliers high0.03817
-
Mean of outliers high1.11869
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)-0.01068
-
VaR(95%) (moments method)0.03831
-
Expected Shortfall (moments method)0.04979
-
Extreme Value Index (regression method)0.06358
-
VaR(95%) (regression method)0.03951
-
Expected Shortfall (regression method)0.05332
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations10.00000
-
Minimum0.00211
-
Quartile 10.03657
-
Median0.05147
-
Quartile 30.09495
-
Maximum0.26154
-
Mean of quarter 10.01388
-
Mean of quarter 20.04415
-
Mean of quarter 30.07354
-
Mean of quarter 40.15732
-
Inter Quartile Range0.05838
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high1.00000
-
Percentage of outliers high0.10000
-
Mean of outliers high0.26154
- Risk estimates based on draw downs (based on Extreme Value T
-
Extreme Value Index (moments method)0.01953
-
VaR(95%) (moments method)0.17558
-
Expected Shortfall (moments method)0.23561
-
Extreme Value Index (regression method)1.85182
-
VaR(95%) (regression method)0.32363
-
Last 4 Months - Pcnt Negativen/a
-
Expected Shortfall (regression method)0.00000
-
Strat Max DD how much worse than SP500 max DD during strat life?-350316000
-
Max Equity Drawdown (num days)162
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)4.13982
-
Compounded annual return (geometric extrapolation)8.42435
-
Calmar ratio (compounded annual return / max draw down)32.21030
-
Compounded annual return / average of 25% largest draw downs53.54820
-
Compounded annual return / Expected Shortfall lognormal111.03000
Strategy Description
Please read before subscribing
I carefully choose the stocks that I buy with the goal of making at least 2X (100% profit) on each trade, if I don't think the potential exist I won't enter into the trade.
I believe in diversification in price and time, so entering the trade will be done in stages and taking profits will also be done in the same way in order to get as much as possible out of the trade.
Important things to know:
1. No shorts - although the quick profit comes from short positions , the big profit comes from the long positions
2. A trade can last for several months
3. All trades will be managed by me and not by one computer algorithm or another, I don't think there is a substitute for experience in the stock market
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.