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
06/14/2023
Most recent certification approved
8/27/24 14:37 ET
Trades at broker
Interactive Brokers (Stocks, Options, Futures)
Scaling percentage used
100%
# trading signals issued by system since certification
1,011
# trading signals executed in manager's Interactive Brokers (Stocks, Options, Futures) account
930
Percent signals followed since 06/14/2023
92.0%
This information was last updated
12/20/24 11:11 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 06/14/2023,
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.
stockBot
(145863618)
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 | 06/14/2023 |
Most recent certification approved | 8/27/24 14:37 ET |
Trades at broker | Interactive Brokers (Stocks, Options, Futures) |
Scaling percentage used | 100% |
# trading signals issued by system since certification | 1,011 |
# trading signals executed in manager's Interactive Brokers (Stocks, Options, Futures) account | 930 |
Percent signals followed since 06/14/2023 | 92.0% |
This information was last updated | 12/20/24 11:11 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 06/14/2023, 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.
Subscription terms. Subscriptions to this system cost $69.00 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.
Non-hedged Equity
Predominantly long equities, although some hedging with short sales of stocks and/or stock index options. Commonly known as "stock-pickers."Sector Rotation
Uses the proceeds from the sale of securities related to a particular investment sector for the purchase of securities in another sector. This strategy is used as a method for capturing returns from market cycles and diversifying holdings over a specified holding period.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 | +0.6% | (4.9%) | +3.0% | +11.9% | +10.3% | ||||||||
2024 | +0.3% | +2.6% | (1.9%) | +8.0% | +3.9% | (1.8%) | +11.2% | (7%) | +5.8% | +16.1% | (3.6%) | (2.1%) | +33.5% |
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 | $50,000 | |
Buy Power | $43,930 | |
Cash | $1 | |
Equity | $1 | |
Cumulative $ | $26,272 | |
Includes dividends and cash-settled expirations: | $656 | Itemized |
Total System Equity | $76,272 | |
Margined | $1 | |
Open P/L | ($8,683) | |
Data has been delayed by 24 hours for non-subscribers |
System developer has asked us to delay this information by 24 hours.
Trading Record
Statistics
-
Strategy began9/19/2023
-
Suggested Minimum Cap$35,000
-
Strategy Age (days)460.18
-
Age15 months ago
-
What it tradesStocks
-
# Trades339
-
# Profitable328
-
% Profitable96.80%
-
Avg trade duration7.8 days
-
Max peak-to-valley drawdown14.56%
-
drawdown periodAug 01, 2024 - Sept 11, 2024
-
Annual Return (Compounded)35.6%
-
Avg win$104.89
-
Avg loss$796.64
- Model Account Values (Raw)
-
Cash$52,613
-
Margin Used$0
-
Buying Power$43,930
- Ratios
-
W:L ratio4.00:1
-
Sharpe Ratio1.2
-
Sortino Ratio2.3
-
Calmar Ratio3.357
- CORRELATION STATISTICS
-
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)13.79%
-
Correlation to SP5000.30030
-
Return Percent SP500 (cumu) during strategy life33.46%
- Return Statistics
-
Ann Return (w trading costs)35.6%
- Slump
-
Current Slump as Pcnt Equity7.60%
- Instruments
-
Percent Trades Futuresn/a
- Slump
-
Current Slump, time of slump as pcnt of strategy life0.12%
- Return Statistics
-
Return Pcnt Since TOS Status51.230%
- Instruments
-
Short Options - Percent Covered100.00%
- Return Statistics
-
Return Pcnt (Compound or Annual, age-based, NFA compliant)0.356%
- Instruments
-
Percent Trades Optionsn/a
-
Percent Trades Stocks1.00%
-
Percent Trades Forexn/a
- Return Statistics
-
Ann Return (Compnd, No Fees)39.7%
- Risk of Ruin (Monte-Carlo)
-
Chance of 10% account loss19.00%
-
Chance of 20% account loss0.50%
-
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)935
-
Popularity (Last 6 weeks)977
- Trading Style
-
Any stock shorts? 0/11
- Popularity
-
C2 Score977
-
Popularity (7 days, Percentile 1000 scale)913
- Trades-Own-System Certification
-
Trades Own System?Yes
-
TOS percent100%
- Win / Loss
-
Avg Loss$797
-
Avg Win$105
-
Sum Trade PL (losers)$8,763.000
- Age
-
Num Months filled monthly returns table16
- Win / Loss
-
Sum Trade PL (winners)$34,403.000
-
# Winners328
-
Num Months Winners10
- Dividends
-
Dividends Received in Model Acct657
- AUM
-
AUM (AutoTrader live capital)188138
- Win / Loss
-
# Losers11
-
% Winners96.8%
- Frequency
-
Avg Position Time (mins)11184.70
-
Avg Position Time (hrs)186.41
-
Avg Trade Length7.8 days
-
Last Trade Ago2
- Leverage
-
Daily leverage (average)0.59
-
Daily leverage (max)1.58
- Regression
-
Alpha0.06
-
Beta0.50
-
Treynor Index0.17
- Maximum Adverse Excursion (MAE)
-
MAE:Equity, average, all trades0.00
-
MAE:PL - worst single value for strategy-
-
MAE:PL (avg, winning trades)-
-
MAE:PL (avg, losing trades)-
-
MAE:PL (avg, all trades)5.11
-
MAE:Equity, average, winning trades0.00
-
MAE:Equity, average, losing trades0.02
-
Avg(MAE) / Avg(PL) - All trades3.353
-
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 strat0.00
-
Avg(MAE) / Avg(PL) - Winning trades1.900
-
Avg(MAE) / Avg(PL) - Losing trades-1.291
-
Hold-and-Hope Ratio0.322
- Analysis based on MONTHLY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean0.39318
-
SD0.28045
-
Sharpe ratio (Glass type estimate)1.40195
-
Sharpe ratio (Hedges UMVUE)1.31214
-
df12.00000
-
t1.45920
-
p0.30590
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.58766
-
Upperbound of 95% confidence interval for Sharpe Ratio3.33847
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.64273
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.26702
- Statistics related to Sortino ratio
-
Sortino ratio4.85852
-
Upside Potential Ratio6.87615
-
Upside part of mean0.55646
-
Downside part of mean-0.16328
-
Upside SD0.28096
-
Downside SD0.08093
-
N nonnegative terms8.00000
-
N negative terms5.00000
- Statistics related to linear regression on benchmark
-
N of observations13.00000
-
Mean of predictor0.25514
-
Mean of criterion0.39318
-
SD of predictor0.13039
-
SD of criterion0.28045
-
Covariance0.00480
-
r0.13116
-
b (slope, estimate of beta)0.28211
-
a (intercept, estimate of alpha)0.32120
-
Mean Square Error0.08433
-
DF error11.00000
-
t(b)0.43879
-
p(b)0.33465
-
t(a)0.99243
-
p(a)0.17116
-
Lowerbound of 95% confidence interval for beta-1.13296
-
Upperbound of 95% confidence interval for beta1.69718
-
Lowerbound of 95% confidence interval for alpha-0.39115
-
Upperbound of 95% confidence interval for alpha1.03355
-
Treynor index (mean / b)1.39371
-
Jensen alpha (a)0.32120
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean0.35379
-
SD0.26089
-
Sharpe ratio (Glass type estimate)1.35609
-
Sharpe ratio (Hedges UMVUE)1.26922
-
df12.00000
-
t1.41146
-
p0.31133
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.62775
-
Upperbound of 95% confidence interval for Sharpe Ratio3.28834
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.68111
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.21956
- Statistics related to Sortino ratio
-
Sortino ratio4.28719
-
Upside Potential Ratio6.30184
-
Upside part of mean0.52005
-
Downside part of mean-0.16625
-
Upside SD0.25778
-
Downside SD0.08252
-
N nonnegative terms8.00000
-
N negative terms5.00000
- Statistics related to linear regression on benchmark
-
N of observations13.00000
-
Mean of predictor0.24449
-
Mean of criterion0.35379
-
SD of predictor0.12631
-
SD of criterion0.26089
-
Covariance0.00410
-
r0.12431
-
b (slope, estimate of beta)0.25677
-
a (intercept, estimate of alpha)0.29102
-
Mean Square Error0.07310
-
DF error11.00000
-
t(b)0.41553
-
p(b)0.34287
-
t(a)0.96840
-
p(a)0.17683
-
Lowerbound of 95% confidence interval for beta-1.10332
-
Upperbound of 95% confidence interval for beta1.61687
-
Lowerbound of 95% confidence interval for alpha-0.37040
-
Upperbound of 95% confidence interval for alpha0.95243
-
Treynor index (mean / b)1.37783
-
Jensen alpha (a)0.29102
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.09008
-
Expected Shortfall on VaR0.11793
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.02720
-
Expected Shortfall on VaR0.04955
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations13.00000
-
Minimum0.95148
-
Quartile 10.97498
-
Median1.01470
-
Quartile 31.07235
-
Maximum1.23601
-
Mean of quarter 10.96172
-
Mean of quarter 21.00361
-
Mean of quarter 31.05201
-
Mean of quarter 41.14749
-
Inter Quartile Range0.09737
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high1.00000
-
Percentage of outliers high0.07692
-
Mean of outliers high1.23601
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)-13.56080
-
VaR(95%) (moments method)0.03925
-
Expected Shortfall (moments method)0.03925
-
Extreme Value Index (regression method)-1.33922
-
VaR(95%) (regression method)0.04793
-
Expected Shortfall (regression method)0.04933
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations5.00000
-
Minimum0.01211
-
Quartile 10.02502
-
Median0.03839
-
Quartile 30.04119
-
Maximum0.04852
-
Mean of quarter 10.01857
-
Mean of quarter 20.03839
-
Mean of quarter 30.04119
-
Mean of quarter 40.04852
-
Inter Quartile Range0.01618
-
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)0.47272
-
Compounded annual return (geometric extrapolation)0.46477
-
Calmar ratio (compounded annual return / max draw down)9.57852
-
Compounded annual return / average of 25% largest draw downs9.57852
-
Compounded annual return / Expected Shortfall lognormal3.94120
-
0.00000
-
0.00000
- Analysis based on DAILY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean0.35265
-
SD0.21827
-
Sharpe ratio (Glass type estimate)1.61563
-
Sharpe ratio (Hedges UMVUE)1.61163
-
df303.00000
-
t1.74032
-
p0.04141
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.20976
-
Upperbound of 95% confidence interval for Sharpe Ratio3.43841
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.21243
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.43569
- Statistics related to Sortino ratio
-
Sortino ratio3.09795
-
Upside Potential Ratio10.85000
-
Upside part of mean1.23509
-
Downside part of mean-0.88244
-
Upside SD0.18709
-
Downside SD0.11383
-
N nonnegative terms159.00000
-
N negative terms145.00000
- Statistics related to linear regression on benchmark
-
N of observations304.00000
-
Mean of predictor0.23016
-
Mean of criterion0.35265
-
SD of predictor0.13589
-
SD of criterion0.21827
-
Covariance0.00902
-
r0.30408
-
b (slope, estimate of beta)0.48841
-
a (intercept, estimate of alpha)0.24000
-
Mean Square Error0.04338
-
DF error302.00000
-
t(b)5.54699
-
p(b)0.00000
-
t(a)1.23568
-
p(a)0.10877
-
Lowerbound of 95% confidence interval for beta0.31514
-
Upperbound of 95% confidence interval for beta0.66168
-
Lowerbound of 95% confidence interval for alpha-0.14235
-
Upperbound of 95% confidence interval for alpha0.62283
-
Treynor index (mean / b)0.72203
-
Jensen alpha (a)0.24024
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean0.32909
-
SD0.21530
-
Sharpe ratio (Glass type estimate)1.52853
-
Sharpe ratio (Hedges UMVUE)1.52474
-
df303.00000
-
t1.64649
-
p0.05035
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.29633
-
Upperbound of 95% confidence interval for Sharpe Ratio3.35088
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.29884
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.34833
- Statistics related to Sortino ratio
-
Sortino ratio2.85972
-
Upside Potential Ratio10.58430
-
Upside part of mean1.21801
-
Downside part of mean-0.88892
-
Upside SD0.18268
-
Downside SD0.11508
-
N nonnegative terms159.00000
-
N negative terms145.00000
- Statistics related to linear regression on benchmark
-
N of observations304.00000
-
Mean of predictor0.22084
-
Mean of criterion0.32909
-
SD of predictor0.13581
-
SD of criterion0.21530
-
Covariance0.00894
-
r0.30561
-
b (slope, estimate of beta)0.48446
-
a (intercept, estimate of alpha)0.22210
-
Mean Square Error0.04216
-
DF error302.00000
-
t(b)5.57770
-
p(b)0.00000
-
t(a)1.15926
-
p(a)0.12363
-
Lowerbound of 95% confidence interval for beta0.31354
-
Upperbound of 95% confidence interval for beta0.65539
-
Lowerbound of 95% confidence interval for alpha-0.15492
-
Upperbound of 95% confidence interval for alpha0.59912
-
Treynor index (mean / b)0.67929
-
Jensen alpha (a)0.22210
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.02041
-
Expected Shortfall on VaR0.02583
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.00752
-
Expected Shortfall on VaR0.01495
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations304.00000
-
Minimum0.95711
-
Quartile 10.99585
-
Median1.00039
-
Quartile 31.00517
-
Maximum1.08421
-
Mean of quarter 10.98828
-
Mean of quarter 20.99847
-
Mean of quarter 31.00209
-
Mean of quarter 41.01697
-
Inter Quartile Range0.00932
-
Number outliers low11.00000
-
Percentage of outliers low0.03618
-
Mean of outliers low0.97429
-
Number of outliers high19.00000
-
Percentage of outliers high0.06250
-
Mean of outliers high1.03851
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)0.01196
-
VaR(95%) (moments method)0.01015
-
Expected Shortfall (moments method)0.01397
-
Extreme Value Index (regression method)-0.06365
-
VaR(95%) (regression method)0.01097
-
Expected Shortfall (regression method)0.01474
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations21.00000
-
Minimum0.00004
-
Quartile 10.00607
-
Median0.00924
-
Quartile 30.01881
-
Maximum0.12782
-
Mean of quarter 10.00200
-
Mean of quarter 20.00794
-
Mean of quarter 30.01516
-
Mean of quarter 40.08473
-
Inter Quartile Range0.01274
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high4.00000
-
Percentage of outliers high0.19048
-
Mean of outliers high0.09727
- Risk estimates based on draw downs (based on Extreme Value T
-
Extreme Value Index (moments method)-2.73575
-
VaR(95%) (moments method)0.05454
-
Expected Shortfall (moments method)0.05491
-
Extreme Value Index (regression method)-1.05851
-
VaR(95%) (regression method)0.11697
-
Expected Shortfall (regression method)0.12702
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)0.44230
-
Compounded annual return (geometric extrapolation)0.42903
-
Calmar ratio (compounded annual return / max draw down)3.35663
-
Compounded annual return / average of 25% largest draw downs5.06364
-
Compounded annual return / Expected Shortfall lognormal16.61050
-
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
-
Mean0.50216
-
SD0.27567
-
Sharpe ratio (Glass type estimate)1.82159
-
Sharpe ratio (Hedges UMVUE)1.81106
-
df130.00000
-
t1.28806
-
p0.44387
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.96244
-
Upperbound of 95% confidence interval for Sharpe Ratio4.59883
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.96948
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.59159
- Statistics related to Sortino ratio
-
Sortino ratio3.39749
-
Upside Potential Ratio11.81980
-
Upside part of mean1.74701
-
Downside part of mean-1.24485
-
Upside SD0.23352
-
Downside SD0.14780
-
N nonnegative terms71.00000
-
N negative terms60.00000
- Statistics related to linear regression on benchmark
-
N of observations131.00000
-
Mean of predictor0.14272
-
Mean of criterion0.50216
-
SD of predictor0.14146
-
SD of criterion0.27567
-
Covariance0.01133
-
r0.29042
-
b (slope, estimate of beta)0.56597
-
a (intercept, estimate of alpha)0.42139
-
Mean Square Error0.07013
-
DF error129.00000
-
t(b)3.44710
-
p(b)0.31775
-
t(a)1.12300
-
p(a)0.43746
-
Lowerbound of 95% confidence interval for beta0.24112
-
Upperbound of 95% confidence interval for beta0.89081
-
Lowerbound of 95% confidence interval for alpha-0.32102
-
Upperbound of 95% confidence interval for alpha1.16380
-
Treynor index (mean / b)0.88727
-
Jensen alpha (a)0.42139
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean0.46464
-
SD0.27204
-
Sharpe ratio (Glass type estimate)1.70798
-
Sharpe ratio (Hedges UMVUE)1.69810
-
df130.00000
-
t1.20772
-
p0.44733
-
Lowerbound of 95% confidence interval for Sharpe Ratio-1.07474
-
Upperbound of 95% confidence interval for Sharpe Ratio4.48428
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-1.08138
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.47758
- Statistics related to Sortino ratio
-
Sortino ratio3.10552
-
Upside Potential Ratio11.49910
-
Upside part of mean1.72046
-
Downside part of mean-1.25582
-
Upside SD0.22777
-
Downside SD0.14962
-
N nonnegative terms71.00000
-
N negative terms60.00000
- Statistics related to linear regression on benchmark
-
N of observations131.00000
-
Mean of predictor0.13271
-
Mean of criterion0.46464
-
SD of predictor0.14181
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SD of criterion0.27204
-
Covariance0.01140
-
r0.29549
-
b (slope, estimate of beta)0.56685
-
a (intercept, estimate of alpha)0.38941
-
Mean Square Error0.06807
-
DF error129.00000
-
t(b)3.51294
-
p(b)0.31466
-
t(a)1.05364
-
p(a)0.44128
-
VAR (95 Confidence Intrvl)0.02000
-
Lowerbound of 95% confidence interval for beta0.24759
-
Upperbound of 95% confidence interval for beta0.88610
-
Lowerbound of 95% confidence interval for alpha-0.34183
-
Upperbound of 95% confidence interval for alpha1.12065
-
Treynor index (mean / b)0.81969
-
Jensen alpha (a)0.38941
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.02554
-
Expected Shortfall on VaR0.03234
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.01043
-
Expected Shortfall on VaR0.01996
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations131.00000
-
Minimum0.95711
-
Quartile 10.99291
-
Median1.00117
-
Quartile 31.00853
-
Maximum1.08421
-
Mean of quarter 10.98424
-
Mean of quarter 20.99726
-
Mean of quarter 31.00439
-
Mean of quarter 41.02227
-
Inter Quartile Range0.01562
-
Number outliers low3.00000
-
Percentage of outliers low0.02290
-
Mean of outliers low0.96352
-
Number of outliers high6.00000
-
Percentage of outliers high0.04580
-
Mean of outliers high1.05482
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)-0.27299
-
VaR(95%) (moments method)0.01547
-
Expected Shortfall (moments method)0.01878
-
Extreme Value Index (regression method)0.12790
-
VaR(95%) (regression method)0.01338
-
Expected Shortfall (regression method)0.01833
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations7.00000
-
Minimum0.00706
-
Quartile 10.01512
-
Median0.01827
-
Quartile 30.06171
-
Maximum0.12782
-
Mean of quarter 10.01023
-
Mean of quarter 20.01755
-
Mean of quarter 30.02857
-
Mean of quarter 40.11133
-
Inter Quartile Range0.04659
-
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 Negative0.50%
-
Expected Shortfall (regression method)0.00000
-
Strat Max DD how much worse than SP500 max DD during strat life?-353775000
-
Max Equity Drawdown (num days)41
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)0.55850
-
Compounded annual return (geometric extrapolation)0.63648
-
Calmar ratio (compounded annual return / max draw down)4.97963
-
Compounded annual return / average of 25% largest draw downs5.71693
-
Compounded annual return / Expected Shortfall lognormal19.68070
Strategy Description
Stock Selection – Intelligent Vetting for Maximum Potential
Our sophisticated algorithm vets stock tickers using a comprehensive scoring system. We analyze key factors like dividends, earnings reports, volume, price, beta, and more. Only stocks that meet our strict criteria make it into the pool for potential trades, ensuring we focus on high-quality opportunities.
Smart Entries and Exits – Maximize Gains with Cutting-Edge Analysis
Using a combination of technical indicators like the SMA/FMA, RSI, and ADX, our algorithm pinpoints optimal buying and selling points from the vetted stock pool. This ensures that every move is grounded in data and built to capitalize on market trends.
Proven Results
With years of experience in the stock market, our approach consistently outperforms. In 2021, our equity return exceeded 52%, and in 2022, we saw an impressive 13% return (figures not validated by Collective2). This track record showcases our ability to deliver in both bull and bear markets.
Frequently Asked Questions
Can I Auto Trade with less than $25,000 in my brokerage account?
No, it’s recommended to have at least $25,000 in your account to avoid Pattern Day Trading (PDT) restrictions. Without this, auto-trading is not advised and maybe a little more to manage drawdown if you are a first time trader.
What settings should I use for scaling, max size, and stop-loss?
These settings should align with your personal risk tolerance. While we don't use a stop-loss in our strategy, implementing one can help manage risk. Keep in mind, our stocks tend to move fast, so we don’t recommend joining trades already in progress.
Do you trade on margin?
Primarily, we use a cash account, but margins may be employed when necessary to seize profitable opportunities.
Patience Pays Off
Trading comes with ups and downs, and success requires patience. If you're seeking instant gains, our strategy may not be the best fit. We believe in a thoughtful, disciplined approach to trading that drives long-term results.
Ready to Elevate Your Trading?
Thank you for your interest in our strategy. Join us for a smarter way to trade, driven by data and designed to help you consistently beat the market. Please note that trading is risky and past results are not indicative of future results.
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.