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
05/23/2022
Most recent certification approved
5/23/22 9:32 ET
Trades at broker
C2 Gateway
Scaling percentage used
100%
# trading signals issued by system since certification
3,328
# trading signals executed in manager's C2 Gateway account
3,328
Percent signals followed since 05/23/2022
100%
This information was last updated
11/23/24 4:39 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 05/23/2022,
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.
SP500 Stocks spike Live
(140513127)
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 | 05/23/2022 |
Most recent certification approved | 5/23/22 9:32 ET |
Trades at broker | C2 Gateway |
Scaling percentage used | 100% |
# trading signals issued by system since certification | 3,328 |
# trading signals executed in manager's C2 Gateway account | 3,328 |
Percent signals followed since 05/23/2022 | 100% |
This information was last updated | 11/23/24 4:39 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 05/23/2022, 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 $49.00 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.
Short-term Reversal
Exploits the tendency of stocks with strong gains and stocks with strong losses to reverse in a short-term time frame (up to one month).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 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022 | +13.6% | +4.1% | +7.1% | (0.6%) | (4.7%) | +21.0% | +12.4% | (1.1%) | +61.6% | ||||
2023 | +0.9% | (0.4%) | (8.7%) | +1.6% | +0.9% | (0.1%) | +3.2% | (4.3%) | (3.7%) | (0.5%) | +8.0% | +4.6% | +0.4% |
2024 | (3.7%) | +4.6% | +3.3% | (5.4%) | +2.5% | +0.8% | +4.0% | (14.1%) | +0.9% | (8.1%) | +2.9% | (13.4%) |
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 | $59,786 | |
Buy Power | $76,463 | |
Cash | $1 | |
Equity | $1 | |
Cumulative $ | $30,310 | |
Includes dividends and cash-settled expirations: | $2,147 | Itemized |
Total System Equity | $90,096 | |
Margined | $1 | |
Open P/L | $178 | |
Data has been delayed by 48 hours for non-subscribers |
System developer has asked us to delay this information by 48 hours.
Trading Record
Statistics
-
Strategy began5/18/2022
-
Suggested Minimum Cap$90,000
-
Strategy Age (days)919.97
-
Age31 months ago
-
What it tradesStocks
-
# Trades1656
-
# Profitable982
-
% Profitable59.30%
-
Avg trade duration6.1 days
-
Max peak-to-valley drawdown20.97%
-
drawdown periodJuly 31, 2024 - Nov 15, 2024
-
Annual Return (Compounded)14.4%
-
Avg win$192.32
-
Avg loss$238.41
- Model Account Values (Raw)
-
Cash$75,567
-
Margin Used$0
-
Buying Power$76,463
- Ratios
-
W:L ratio1.19:1
-
Sharpe Ratio0.51
-
Sortino Ratio0.79
-
Calmar Ratio0.958
- CORRELATION STATISTICS
-
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)-11.54%
-
Correlation to SP5000.42410
-
Return Percent SP500 (cumu) during strategy life52.14%
- Return Statistics
-
Ann Return (w trading costs)14.4%
- Slump
-
Current Slump as Pcnt Equity22.00%
- Instruments
-
Percent Trades Futures0.02%
- Slump
-
Current Slump, time of slump as pcnt of strategy life0.12%
- Instruments
-
Short Options - Percent Covered100.00%
- Return Statistics
-
Return Pcnt (Compound or Annual, age-based, NFA compliant)0.144%
- Instruments
-
Percent Trades Optionsn/a
-
Percent Trades Stocks0.98%
-
Percent Trades Forexn/a
- Return Statistics
-
Ann Return (Compnd, No Fees)17.6%
- Risk of Ruin (Monte-Carlo)
-
Chance of 10% account loss65.00%
-
Chance of 20% account loss31.00%
-
Chance of 30% account loss14.50%
-
Chance of 40% account loss4.00%
-
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 loss0.50%
- Popularity
-
Popularity (Today)0
-
Popularity (Last 6 weeks)768
- Trading Style
-
Any stock shorts? 0/11
- Popularity
-
C2 Score408
-
Popularity (7 days, Percentile 1000 scale)562
- Trades-Own-System Certification
-
Trades Own System?Yes
-
TOS percent100%
- Win / Loss
-
Avg Loss$238
-
Avg Win$192
-
Sum Trade PL (losers)$160,687.000
- Age
-
Num Months filled monthly returns table31
- Win / Loss
-
Sum Trade PL (winners)$188,854.000
-
# Winners982
-
Num Months Winners18
- Dividends
-
Dividends Received in Model Acct2147
- AUM
-
AUM (AutoTrader live capital)90573
- Win / Loss
-
# Losers674
-
% Winners59.3%
- Frequency
-
Avg Position Time (mins)8770.60
-
Avg Position Time (hrs)146.18
-
Avg Trade Length6.1 days
-
Last Trade Ago1
- Leverage
-
Daily leverage (average)0.85
-
Daily leverage (max)4.68
- Regression
-
Alpha0.01
-
Beta0.60
-
Treynor Index0.06
- 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)0.01
-
MAE:Equity, average, winning trades0.00
-
MAE:Equity, average, losing trades0.01
-
Avg(MAE) / Avg(PL) - All trades30.963
-
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 trades1.183
-
Avg(MAE) / Avg(PL) - Losing trades-1.822
-
Hold-and-Hope Ratio0.034
- Analysis based on MONTHLY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean0.16784
-
SD0.24674
-
Sharpe ratio (Glass type estimate)0.68024
-
Sharpe ratio (Hedges UMVUE)0.66182
-
df28.00000
-
t1.05747
-
p0.14967
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.59884
-
Upperbound of 95% confidence interval for Sharpe Ratio1.94754
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.61082
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.93447
- Statistics related to Sortino ratio
-
Sortino ratio1.50283
-
Upside Potential Ratio3.23521
-
Upside part of mean0.36133
-
Downside part of mean-0.19348
-
Upside SD0.22058
-
Downside SD0.11169
-
N nonnegative terms16.00000
-
N negative terms13.00000
- Statistics related to linear regression on benchmark
-
N of observations29.00000
-
Mean of predictor0.14573
-
Mean of criterion0.16784
-
SD of predictor0.15076
-
SD of criterion0.24674
-
Covariance0.01430
-
r0.38454
-
b (slope, estimate of beta)0.62935
-
a (intercept, estimate of alpha)0.07613
-
Mean Square Error0.05380
-
DF error27.00000
-
t(b)2.16457
-
p(b)0.01971
-
t(a)0.49081
-
p(a)0.31376
-
Lowerbound of 95% confidence interval for beta0.03278
-
Upperbound of 95% confidence interval for beta1.22593
-
Lowerbound of 95% confidence interval for alpha-0.24212
-
Upperbound of 95% confidence interval for alpha0.39438
-
Treynor index (mean / b)0.26669
-
Jensen alpha (a)0.07613
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean0.13944
-
SD0.23274
-
Sharpe ratio (Glass type estimate)0.59912
-
Sharpe ratio (Hedges UMVUE)0.58291
-
df28.00000
-
t0.93137
-
p0.17981
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.67650
-
Upperbound of 95% confidence interval for Sharpe Ratio1.86434
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.68708
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.85290
- Statistics related to Sortino ratio
-
Sortino ratio1.19590
-
Upside Potential Ratio2.90797
-
Upside part of mean0.33907
-
Downside part of mean-0.19963
-
Upside SD0.20081
-
Downside SD0.11660
-
N nonnegative terms16.00000
-
N negative terms13.00000
- Statistics related to linear regression on benchmark
-
N of observations29.00000
-
Mean of predictor0.13363
-
Mean of criterion0.13944
-
SD of predictor0.15099
-
SD of criterion0.23274
-
Covariance0.01333
-
r0.37919
-
b (slope, estimate of beta)0.58450
-
a (intercept, estimate of alpha)0.06133
-
Mean Square Error0.04810
-
DF error27.00000
-
t(b)2.12933
-
p(b)0.02125
-
t(a)0.42076
-
p(a)0.33863
-
Lowerbound of 95% confidence interval for beta0.02127
-
Upperbound of 95% confidence interval for beta1.14773
-
Lowerbound of 95% confidence interval for alpha-0.23776
-
Upperbound of 95% confidence interval for alpha0.36042
-
Treynor index (mean / b)0.23856
-
Jensen alpha (a)0.06133
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.09416
-
Expected Shortfall on VaR0.11897
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.03474
-
Expected Shortfall on VaR0.06823
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations29.00000
-
Minimum0.89694
-
Quartile 10.98111
-
Median1.01342
-
Quartile 31.03625
-
Maximum1.27014
-
Mean of quarter 10.95125
-
Mean of quarter 20.99639
-
Mean of quarter 31.02189
-
Mean of quarter 41.10502
-
Inter Quartile Range0.05514
-
Number outliers low2.00000
-
Percentage of outliers low0.06897
-
Mean of outliers low0.89705
-
Number of outliers high3.00000
-
Percentage of outliers high0.10345
-
Mean of outliers high1.17567
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)0.18700
-
VaR(95%) (moments method)0.04877
-
Expected Shortfall (moments method)0.07572
-
Extreme Value Index (regression method)-1.93480
-
VaR(95%) (regression method)0.04816
-
Expected Shortfall (regression method)0.04895
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations6.00000
-
Minimum0.01034
-
Quartile 10.01914
-
Median0.03179
-
Quartile 30.08832
-
Maximum0.14431
-
Mean of quarter 10.01424
-
Mean of quarter 20.02212
-
Mean of quarter 30.04145
-
Mean of quarter 40.12413
-
Inter Quartile Range0.06919
-
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)0.20625
-
Compounded annual return (geometric extrapolation)0.18216
-
Calmar ratio (compounded annual return / max draw down)1.26232
-
Compounded annual return / average of 25% largest draw downs1.46755
-
Compounded annual return / Expected Shortfall lognormal1.53124
-
0.00000
-
0.00000
- Analysis based on DAILY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean0.16039
-
SD0.22756
-
Sharpe ratio (Glass type estimate)0.70483
-
Sharpe ratio (Hedges UMVUE)0.70402
-
df654.00000
-
t1.11443
-
p0.13275
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.53559
-
Upperbound of 95% confidence interval for Sharpe Ratio1.94476
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.53616
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.94420
- Statistics related to Sortino ratio
-
Sortino ratio1.08754
-
Upside Potential Ratio6.70761
-
Upside part of mean0.98926
-
Downside part of mean-0.82887
-
Upside SD0.17336
-
Downside SD0.14748
-
N nonnegative terms341.00000
-
N negative terms314.00000
- Statistics related to linear regression on benchmark
-
N of observations655.00000
-
Mean of predictor0.15339
-
Mean of criterion0.16039
-
SD of predictor0.16389
-
SD of criterion0.22756
-
Covariance0.01508
-
r0.40425
-
b (slope, estimate of beta)0.56132
-
a (intercept, estimate of alpha)0.07400
-
Mean Square Error0.04339
-
DF error653.00000
-
t(b)11.29420
-
p(b)-0.00000
-
t(a)0.56300
-
p(a)0.28682
-
Lowerbound of 95% confidence interval for beta0.46373
-
Upperbound of 95% confidence interval for beta0.65891
-
Lowerbound of 95% confidence interval for alpha-0.18483
-
Upperbound of 95% confidence interval for alpha0.33341
-
Treynor index (mean / b)0.28575
-
Jensen alpha (a)0.07429
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean0.13459
-
SD0.22697
-
Sharpe ratio (Glass type estimate)0.59299
-
Sharpe ratio (Hedges UMVUE)0.59231
-
df654.00000
-
t0.93760
-
p0.17440
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.64721
-
Upperbound of 95% confidence interval for Sharpe Ratio1.83281
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.64769
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.83232
- Statistics related to Sortino ratio
-
Sortino ratio0.88336
-
Upside Potential Ratio6.39735
-
Upside part of mean0.97473
-
Downside part of mean-0.84013
-
Upside SD0.16820
-
Downside SD0.15236
-
N nonnegative terms341.00000
-
N negative terms314.00000
- Statistics related to linear regression on benchmark
-
N of observations655.00000
-
Mean of predictor0.13994
-
Mean of criterion0.13459
-
SD of predictor0.16380
-
SD of criterion0.22697
-
Covariance0.01484
-
r0.39916
-
b (slope, estimate of beta)0.55309
-
a (intercept, estimate of alpha)0.05720
-
Mean Square Error0.04337
-
DF error653.00000
-
t(b)11.12470
-
p(b)-0.00000
-
t(a)0.43362
-
p(a)0.33235
-
Lowerbound of 95% confidence interval for beta0.45546
-
Upperbound of 95% confidence interval for beta0.65071
-
Lowerbound of 95% confidence interval for alpha-0.20181
-
Upperbound of 95% confidence interval for alpha0.31620
-
Treynor index (mean / b)0.24335
-
Jensen alpha (a)0.05720
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.02230
-
Expected Shortfall on VaR0.02800
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.00689
-
Expected Shortfall on VaR0.01528
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations655.00000
-
Minimum0.87474
-
Quartile 10.99736
-
Median1.00027
-
Quartile 31.00354
-
Maximum1.11976
-
Mean of quarter 10.98845
-
Mean of quarter 20.99913
-
Mean of quarter 31.00170
-
Mean of quarter 41.01360
-
Inter Quartile Range0.00618
-
Number outliers low42.00000
-
Percentage of outliers low0.06412
-
Mean of outliers low0.97269
-
Number of outliers high43.00000
-
Percentage of outliers high0.06565
-
Mean of outliers high1.03337
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)0.53378
-
VaR(95%) (moments method)0.01027
-
Expected Shortfall (moments method)0.02534
-
Extreme Value Index (regression method)0.30385
-
VaR(95%) (regression method)0.00937
-
Expected Shortfall (regression method)0.01691
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations27.00000
-
Minimum0.00026
-
Quartile 10.00329
-
Median0.01856
-
Quartile 30.04405
-
Maximum0.18422
-
Mean of quarter 10.00132
-
Mean of quarter 20.00894
-
Mean of quarter 30.02872
-
Mean of quarter 40.09901
-
Inter Quartile Range0.04076
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high3.00000
-
Percentage of outliers high0.11111
-
Mean of outliers high0.14833
- Risk estimates based on draw downs (based on Extreme Value T
-
Extreme Value Index (moments method)-0.19778
-
VaR(95%) (moments method)0.10119
-
Expected Shortfall (moments method)0.12680
-
Extreme Value Index (regression method)-0.02378
-
VaR(95%) (regression method)0.11559
-
Expected Shortfall (regression method)0.15585
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)0.20047
-
Compounded annual return (geometric extrapolation)0.17645
-
Calmar ratio (compounded annual return / max draw down)0.95782
-
Compounded annual return / average of 25% largest draw downs1.78219
-
Compounded annual return / Expected Shortfall lognormal6.30227
-
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
-
Mean-0.28199
-
SD0.17488
-
Sharpe ratio (Glass type estimate)-1.61249
-
Sharpe ratio (Hedges UMVUE)-1.60316
-
df130.00000
-
t-1.14020
-
p0.54975
-
Lowerbound of 95% confidence interval for Sharpe Ratio-4.38819
-
Upperbound of 95% confidence interval for Sharpe Ratio1.16927
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-4.38181
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.17548
- Statistics related to Sortino ratio
-
Sortino ratio-1.87399
-
Upside Potential Ratio4.58564
-
Upside part of mean0.69002
-
Downside part of mean-0.97201
-
Upside SD0.08950
-
Downside SD0.15047
-
N nonnegative terms67.00000
-
N negative terms64.00000
- Statistics related to linear regression on benchmark
-
N of observations131.00000
-
Mean of predictor0.23133
-
Mean of criterion-0.28199
-
SD of predictor0.13518
-
SD of criterion0.17488
-
Covariance0.01467
-
r0.62054
-
b (slope, estimate of beta)0.80275
-
a (intercept, estimate of alpha)-0.46769
-
Mean Square Error0.01895
-
DF error129.00000
-
t(b)8.98777
-
p(b)0.13202
-
t(a)-2.38883
-
p(a)0.63010
-
Lowerbound of 95% confidence interval for beta0.62604
-
Upperbound of 95% confidence interval for beta0.97947
-
Lowerbound of 95% confidence interval for alpha-0.85505
-
Upperbound of 95% confidence interval for alpha-0.08033
-
Treynor index (mean / b)-0.35128
-
Jensen alpha (a)-0.46769
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean-0.29755
-
SD0.17708
-
Sharpe ratio (Glass type estimate)-1.68026
-
Sharpe ratio (Hedges UMVUE)-1.67054
-
df130.00000
-
t-1.18812
-
p0.55182
-
Lowerbound of 95% confidence interval for Sharpe Ratio-4.45643
-
Upperbound of 95% confidence interval for Sharpe Ratio1.10221
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-4.44978
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.10869
- Statistics related to Sortino ratio
-
Sortino ratio-1.93651
-
Upside Potential Ratio4.46461
-
Upside part of mean0.68600
-
Downside part of mean-0.98354
-
Upside SD0.08859
-
Downside SD0.15365
-
N nonnegative terms67.00000
-
N negative terms64.00000
- Statistics related to linear regression on benchmark
-
N of observations131.00000
-
Mean of predictor0.22212
-
Mean of criterion-0.29755
-
SD of predictor0.13537
-
SD of criterion0.17708
-
Covariance0.01496
-
r0.62392
-
b (slope, estimate of beta)0.81622
-
a (intercept, estimate of alpha)-0.47885
-
Mean Square Error0.01930
-
DF error129.00000
-
t(b)9.06790
-
p(b)0.13033
-
t(a)-2.42476
-
p(a)0.63194
-
VAR (95 Confidence Intrvl)0.02200
-
Lowerbound of 95% confidence interval for beta0.63813
-
Upperbound of 95% confidence interval for beta0.99431
-
Lowerbound of 95% confidence interval for alpha-0.86958
-
Upperbound of 95% confidence interval for alpha-0.08812
-
Treynor index (mean / b)-0.36455
-
Jensen alpha (a)-0.47885
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.01895
-
Expected Shortfall on VaR0.02342
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.00827
-
Expected Shortfall on VaR0.01761
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations131.00000
-
Minimum0.94237
-
Quartile 10.99614
-
Median1.00035
-
Quartile 31.00360
-
Maximum1.03784
-
Mean of quarter 10.98711
-
Mean of quarter 20.99838
-
Mean of quarter 31.00164
-
Mean of quarter 41.00906
-
Inter Quartile Range0.00746
-
Number outliers low8.00000
-
Percentage of outliers low0.06107
-
Mean of outliers low0.96860
-
Number of outliers high3.00000
-
Percentage of outliers high0.02290
-
Mean of outliers high1.02311
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)0.60120
-
VaR(95%) (moments method)0.01327
-
Expected Shortfall (moments method)0.03627
-
Extreme Value Index (regression method)0.30366
-
VaR(95%) (regression method)0.01079
-
Expected Shortfall (regression method)0.01857
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations7.00000
-
Minimum0.00097
-
Quartile 10.00786
-
Median0.01856
-
Quartile 30.03176
-
Maximum0.18422
-
Mean of quarter 10.00161
-
Mean of quarter 20.01601
-
Mean of quarter 30.02763
-
Mean of quarter 40.11006
-
Inter Quartile Range0.02391
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high1.00000
-
Percentage of outliers high0.14286
-
Mean of outliers high0.18422
- 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?-407197000
-
Max Equity Drawdown (num days)107
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)-0.25226
-
Compounded annual return (geometric extrapolation)-0.23635
-
Calmar ratio (compounded annual return / max draw down)-1.28298
-
Compounded annual return / average of 25% largest draw downs-2.14752
-
Compounded annual return / Expected Shortfall lognormal-10.09350
Strategy Description
The 2nd main system trades the SPY. Since I, as an EU citizen, cannot trade the SPY directly, I trade this system with the E-Mirco Future. (If you want to trade SPY directly, then check out my non-TOS systems.)
The 1st system is leading. The SPY system only becomes active if there are few trades open in the 1st system.
The SPY system always trades with half of the total capital including leverage!
The SPY trade cannot be closed until the next day at the earliest! Then a stop loss of 0.3% and a take profit of 2.3% apply!
The 1st main system generate trades from several subsystems. There are both long subsystems and short subsystems. All subsystems run fully automatically and before trading begins, the stocks that are eligible for a trade are selected. If the stock reaches the price generated by my system intraday, the trade is entered.
There is no classic stop loss, but if a trade has lost 10% (long trade) or 8% (short trade) or more, it will be closed the next day.
To prevent stocks from being bought in a crash, there are several safety features. These security features can cause my system to close positions in a pullback as the system anticipates further losses. See August 2024 and March 2023. This is unpleasant, but necessary. In a crash, the losses would be many times higher.
Max 60 trades can be open at the same time.
Each trade is therefore entered into with 1/60th of the available capital (incl. leverage). There is no weighting that a trade is entered with more capital. In addition, there is no martingale or something like that. When a trade is open on a stock, another subsystem cannot open a trade until the open trade has been closed.
No intraday trading! Opened trades cannot be closed until the next day.
No Pattern Day Trader!
The majority of subsystems are not trend following systems! Therefore, the performance in strong bull markets is worse than the S&P 500 (for example the year 2023).
The core systems try to generate profits from a countermovement when stocks are overbought or oversold.
See for example the year 2022:
S&P 500:
YTD -18% DD -26%
My System (with 3.5 leverage):
YTD: 61% DD -20%
My system had a smaller draw down even though I trade with a maximum leverage of 3.5.
I recommend at least $10,000 for my system. Since up to 60 trades can be open at a time, at $10,000 only $583 per trade is buying shares.
Max leverage 3.5 (also overnight max leverage 3.5!)
The scaling factor for autotrading must be determined using the following formula:
("your capital"
divided by
"current equity of the system")
divided by
(3.5 (my max leverage)
divided by "your leverage").
So if you want to invest $10,000 in my system with a leverage of 2 and my current equity is $84.000, that would be a scaling factor of:
($10,000 / $84.000(get the current equity!!!) / (3.5 / 2) = 8%.
If you only want to trade the long systems, you can follow this system.
https://collective2.com/details/148698883
There is only a max leverage of 2 here!
If you have any questions, get in touch with me.
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.