Warrenʼs Wonders
(141186693)
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.
Hedged Equity
Core holding of long equities hedged at all times with short sales of stocks and/or stock index options.Eventdriven
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 Cumulative Rate of Return is calculated
= (Ending_equity  Starting_equity) / Starting_equity
Remember that, following NFA requirements, strategy subscription costs and estimated commissions are included in markedtomarket equity calculations.
All results are hypothetical.
Jan  Feb  Mar  Apr  May  Jun  Jul  Aug  Sep  Oct  Nov  Dec  YTD  

2022  +11.8%  +15.3%  +1.7%      +31.1% 
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  $25,000  
Buy Power  $33,032  
Cash  $33,032  
Equity  $0  
Cumulative $  $8,032  
Total System Equity  $33,032  
Margined  $0  
Open P/L  $0 
Trading Record
Statistics

Strategy began7/26/2022

Suggested Minimum Cap$35,000

Strategy Age (days)124.23

Age126 days ago

What it tradesStocks

# Trades30

# Profitable20

% Profitable66.70%

Avg trade duration10.1 days

Max peaktovalley drawdown7.42%

drawdown periodAug 12, 2022  Sept 06, 2022

Cumul. Return31.1%

Avg win$518.75

Avg loss$234.20
 Model Account Values (Raw)

Cash$33,032

Margin Used$0

Buying Power$33,032
 Ratios

W:L ratio4.43:1

Sharpe Ratio3.81

Sortino Ratio11.5

Calmar Ratio30.73
 CORRELATION STATISTICS

Return of Strat Pcnt  Return of SP500 Pcnt (cumu)28.41%

Correlation to SP5000.29170

Return Percent SP500 (cumu) during strategy life0.84%
 Verified

C2Star0
 Return Statistics

Ann Return (w trading costs)116.8%
 Slump

Current Slump as Pcnt Equity3.60%
 Instruments

Percent Trades Futures0.03%
 Slump

Current Slump, time of slump as pcnt of strategy life0.85%
 Instruments

Short Options  Percent Covered100.00%
 Return Statistics

Return Pcnt (Compound or Annual, agebased, NFA compliant)0.311%
 Instruments

Percent Trades Optionsn/a

Percent Trades Stocks0.97%

Percent Trades Forexn/a
 Return Statistics

Ann Return (Compnd, No Fees)122.4%
 Risk of Ruin (MonteCarlo)

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

Chance of 100% account loss (Monte Carlo)100.00%
 Automation

Percentage Signals Automated6.06%
 Risk of Ruin (MonteCarlo)

Chance of 50% account lossn/a
 Popularity

Popularity (Today)0

Popularity (Last 6 weeks)0
 Trading Style

Any stock shorts? 0/10
 Popularity

Popularity (7 days, Percentile 1000 scale)0
 TradesOwnSystem Certification

Trades Own System?

TOS percentn/a
 Win / Loss

Avg Loss$234

Avg Win$519

Sum Trade PL (losers)$2,342.000
 Age

Num Months filled monthly returns table5
 Win / Loss

Sum Trade PL (winners)$10,375.000

# Winners20

Num Months Winners3
 Dividends

Dividends Received in Model Acct0
 Win / Loss

# Losers10

% Winners66.7%
 Frequency

Avg Position Time (mins)14537.10

Avg Position Time (hrs)242.28

Avg Trade Length10.1 days

Last Trade Ago75
 Leverage

Daily leverage (average)1.07

Daily leverage (max)6.87
 Regression

Alpha0.22

Beta0.20

Treynor Index1.11
 Maximum Adverse Excursion (MAE)

MAE:Equity, average, all trades0.01

MAE:PL  worst single value for strategy

MAE:PL (avg, winning trades)

MAE:PL (avg, losing trades)

MAE:PL (avg, all trades)0.02

MAE:Equity, average, winning trades0.00

MAE:Equity, average, losing trades0.02

Avg(MAE) / Avg(PL)  All trades1.073

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 strat0.13

Avg(MAE) / Avg(PL)  Winning trades0.255

Avg(MAE) / Avg(PL)  Losing trades2.552

HoldandHope Ratio0.932
 Analysis based on MONTHLY values, full history
 RATIO STATISTICS
 Ratio statistics of excess return rates
 Statistics related to Sharpe ratio

Mean1.25422

SD0.61634

Sharpe ratio (Glass type estimate)2.03495

Sharpe ratio (Hedges UMVUE)1.14810

df2.00000

t1.01748

p0.20799

Lowerbound of 95% confidence interval for Sharpe Ratio2.47901

Upperbound of 95% confidence interval for Sharpe Ratio6.18944

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation2.93010

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation5.22630
 Statistics related to Sortino ratio

Sortino ratio269.34400

Upside Potential Ratio271.34400

Upside part of mean1.26353

Downside part of mean0.00931

Upside SD0.61993

Downside SD0.00466

N nonnegative terms2.00000

N negative terms1.00000
 Statistics related to linear regression on benchmark

N of observations3.00000

Mean of predictor0.07042

Mean of criterion1.25422

SD of predictor0.38016

SD of criterion0.61634

Covariance0.13321

r0.56853

b (slope, estimate of beta)0.92173

a (intercept, estimate of alpha)1.31913

Mean Square Error0.51418

DF error1.00000

t(b)0.69109

p(b)0.30751

t(a)0.91785

p(a)0.26363

Lowerbound of 95% confidence interval for beta16.02510

Upperbound of 95% confidence interval for beta17.86860

Lowerbound of 95% confidence interval for alpha16.94220

Upperbound of 95% confidence interval for alpha19.58040

Treynor index (mean / b)1.36072

Jensen alpha (a)1.31913
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean1.09210

SD0.53539

Sharpe ratio (Glass type estimate)2.03982

Sharpe ratio (Hedges UMVUE)1.15085

df2.00000

t1.01991

p0.20753

Lowerbound of 95% confidence interval for Sharpe Ratio2.47620

Upperbound of 95% confidence interval for Sharpe Ratio6.19605

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation2.92810

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation5.22979
 Statistics related to Sortino ratio

Sortino ratio234.80200

Upside Potential Ratio236.80200

Upside part of mean1.10140

Downside part of mean0.00930

Upside SD0.53895

Downside SD0.00465

N nonnegative terms2.00000

N negative terms1.00000
 Statistics related to linear regression on benchmark

N of observations3.00000

Mean of predictor0.12126

Mean of criterion1.09210

SD of predictor0.39474

SD of criterion0.53539

Covariance0.11789

r0.55783

b (slope, estimate of beta)0.75659

a (intercept, estimate of alpha)1.18384

Mean Square Error0.39489

DF error1.00000

t(b)0.67212

p(b)0.31163

t(a)0.93644

p(a)0.26044

Lowerbound of 95% confidence interval for beta13.54640

Upperbound of 95% confidence interval for beta15.05960

Lowerbound of 95% confidence interval for alpha14.87930

Upperbound of 95% confidence interval for alpha17.24700

Treynor index (mean / b)1.44346

Jensen alpha (a)1.18384
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.15059

Expected Shortfall on VaR0.20243
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00141

Expected Shortfall on VaR0.00266
 ORDER STATISTICS
 Quartiles of return rates

Number of observations3.00000

Minimum1.00000

Quartile 11.00415

Median1.00830

Quartile 31.16027

Maximum1.31224

Mean of quarter 11.00000

Mean of quarter 21.00830

Mean of quarter 30.00000

Mean of quarter 41.31224

Inter Quartile Range0.15612

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 oneperiod unit investment (based on Ex

Extreme Value Index (moments method)0.00000

VaR(95%) (moments method)0.00000

Expected Shortfall (moments method)0.00000

Extreme Value Index (regression method)0.00000

VaR(95%) (regression method)0.00000

Expected Shortfall (regression method)0.00000
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations0.00000

Minimum0.00000

Quartile 10.00000

Median0.00000

Quartile 30.00000

Maximum0.00000

Mean of quarter 10.00000

Mean of quarter 20.00000

Mean of quarter 30.00000

Mean of quarter 40.00000

Inter Quartile Range0.00000

Number outliers low0.00000

Percentage of outliers low0.00000

Mean of outliers low0.00000

Number of outliers high0.00000

Percentage of outliers high0.00000

Mean of outliers high0.00000
 Risk estimates based on draw downs (based on Extreme Value T

Extreme Value Index (moments method)0.00000

VaR(95%) (moments method)0.00000

Expected Shortfall (moments method)0.00000

Extreme Value Index (regression method)0.00000

VaR(95%) (regression method)0.00000

Expected Shortfall (regression method)0.00000
 COMBINED STATISTICS

Annualized return (arithmetic extrapolation)1.29253

Compounded annual return (geometric extrapolation)2.06488

Calmar ratio (compounded annual return / max draw down)0.00000

Compounded annual return / average of 25% largest draw downs0.00000

Compounded annual return / Expected Shortfall lognormal10.20040

0.00000

0.00000
 Analysis based on DAILY values, full history
 RATIO STATISTICS
 Ratio statistics of excess return rates
 Statistics related to Sharpe ratio

Mean0.99789

SD0.19760

Sharpe ratio (Glass type estimate)5.05005

Sharpe ratio (Hedges UMVUE)4.99726

df72.00000

t2.66567

p0.00474

Lowerbound of 95% confidence interval for Sharpe Ratio1.23002

Upperbound of 95% confidence interval for Sharpe Ratio8.83670

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation1.19551

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation8.79901
 Statistics related to Sortino ratio

Sortino ratio16.21170

Upside Potential Ratio22.71600

Upside part of mean1.39825

Downside part of mean0.40036

Upside SD0.19627

Downside SD0.06155

N nonnegative terms21.00000

N negative terms52.00000
 Statistics related to linear regression on benchmark

N of observations73.00000

Mean of predictor0.07631

Mean of criterion0.99789

SD of predictor0.28262

SD of criterion0.19760

Covariance0.01659

r0.29711

b (slope, estimate of beta)0.20773

a (intercept, estimate of alpha)0.98200

Mean Square Error0.03610

DF error71.00000

t(b)2.62185

p(b)0.00535

t(a)2.72786

p(a)0.00401

Lowerbound of 95% confidence interval for beta0.04975

Upperbound of 95% confidence interval for beta0.36571

Lowerbound of 95% confidence interval for alpha0.26421

Upperbound of 95% confidence interval for alpha1.69987

Treynor index (mean / b)4.80379

Jensen alpha (a)0.98204
 Ratio statistics of excess log return rates
 Statistics related to Sharpe ratio

Mean0.97703

SD0.19492

Sharpe ratio (Glass type estimate)5.01254

Sharpe ratio (Hedges UMVUE)4.96014

df72.00000

t2.64587

p0.00500

Lowerbound of 95% confidence interval for Sharpe Ratio1.19395

Upperbound of 95% confidence interval for Sharpe Ratio8.79798

Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation1.15969

Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation8.76060
 Statistics related to Sortino ratio

Sortino ratio15.78720

Upside Potential Ratio22.28650

Upside part of mean1.37926

Downside part of mean0.40222

Upside SD0.19309

Downside SD0.06189

N nonnegative terms21.00000

N negative terms52.00000
 Statistics related to linear regression on benchmark

N of observations73.00000

Mean of predictor0.03729

Mean of criterion0.97703

SD of predictor0.28058

SD of criterion0.19492

Covariance0.01644

r0.30053

b (slope, estimate of beta)0.20878

a (intercept, estimate of alpha)0.96925

Mean Square Error0.03505

DF error71.00000

t(b)2.65504

p(b)0.00489

t(a)2.73273

p(a)0.00396

Lowerbound of 95% confidence interval for beta0.05198

Upperbound of 95% confidence interval for beta0.36557

Lowerbound of 95% confidence interval for alpha0.26203

Upperbound of 95% confidence interval for alpha1.67646

Treynor index (mean / b)4.67982

Jensen alpha (a)0.96925
 Risk estimates for a oneperiod unit investment (parametric)
 assuming log normal returns and losses (using central moments from Sharpe statistics)

VaR(95%)0.01595

Expected Shortfall on VaR0.02088
 assuming Pareto losses only (using partial moments from Sortino statistics)

VaR(95%)0.00434

Expected Shortfall on VaR0.00881
 ORDER STATISTICS
 Quartiles of return rates

Number of observations73.00000

Minimum0.98638

Quartile 11.00000

Median1.00000

Quartile 31.00370

Maximum1.04673

Mean of quarter 10.99442

Mean of quarter 21.00000

Mean of quarter 31.00040

Mean of quarter 41.02136

Inter Quartile Range0.00370

Number outliers low10.00000

Percentage of outliers low0.13699

Mean of outliers low0.99030

Number of outliers high15.00000

Percentage of outliers high0.20548

Mean of outliers high1.02446
 Risk estimates for a oneperiod unit investment (based on Ex

Extreme Value Index (moments method)3.47058

VaR(95%) (moments method)0.00298

Expected Shortfall (moments method)0.00300

Extreme Value Index (regression method)1.17880

VaR(95%) (regression method)0.00694

Expected Shortfall (regression method)0.00782
 DRAW DOWN STATISTICS
 Quartiles of draw downs

Number of observations2.00000

Minimum0.00849

Quartile 10.02046

Median0.03242

Quartile 30.04439

Maximum0.05635

Mean of quarter 10.00849

Mean of quarter 20.00000

Mean of quarter 30.00000

Mean of quarter 40.05635

Inter Quartile Range0.02393

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)1.15974

Compounded annual return (geometric extrapolation)1.73174

Calmar ratio (compounded annual return / max draw down)30.72950

Compounded annual return / average of 25% largest draw downs30.72950

Compounded annual return / Expected Shortfall lognormal82.94120
 Analysis based on DAILY values, last 6 months only
 RATIO STATISTICS
 Ratio statistics of excess log return rates
 Statistics related to linear regression on benchmark

VAR (95 Confidence Intrvl)0.01600
 DRAW DOWN STATISTICS
 Risk estimates based on draw downs (based on Extreme Value T
 assuming Pareto losses only (using partial moments from Sortino statistics)

Last 4 Months  Pcnt Negativen/a

Strat Max DD how much worse than SP500 max DD during strat life?347313000

Max Equity Drawdown (num days)25
Strategy Description
Whatever I do for my clients , I immediately enter those trades into this collective2 strategy. I have been working as a stockbroker since 2007 and I also manage some of my client's share portfolios on a full discretion basis. I choose companies that are either currently very profitable , or likely to be very profitable in future. I use various sources and tools to research the companies I wish to invest in. I like to have a portfolio of at least 5 stocks or more at any time to achieve some level of diversification and risk management. I also look for short positions when I feel the time is right to hedge the long positions in the portfolio, and also when there are some short term shorting opportunities, although i usually do not hold onto a short position for very long. Some of the trades might last a few days, some a few weeks or more, it depends on what is happening with the overall sentiment in the stock market. I also like to take some profits when they are there by selling say 1/3 or 1/2 of the position. In addition , I use stoplosses to close out a position if it goes too far the wrong way. I monitor the portfolios / this strategy every day. I use my many years experience in stock markets to make decisions. Sorry I cannot provide a more mathematical system or strategy, but in my experience, its better to follow the markets day by day as the news changes daily which does affect what happens . Hope that gives you some color to the strategy. I am happy to share with you all my trades that I have taken since I started trading for my clients, the longest one has been since May 2020 and is still going because he is happy with the performance. I have picked up more clients since then. I also watch the economic data very closely because that affects the direction of the market in the short term, it affects sentiment. Please let me know if you have any further questions..
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 underor overcompensated 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 rescaled downward to make current goforward 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 pertrade 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.