Collective2 Collective2
Featured Strategy S2Prox0 +53.2% Annual Return (Compounded) since Dec 23, 2022 Hypothetical

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These are hypothetical performance results that have certain inherent limitations. Learn more
Listing Edit Subscribers Broadcast More...

CrowderOptions.com - Sector ETF Extremes
(46188918)

Created by: AndrewCrowder AndrewCrowder

Subscriptions not available

No subscriptions are currently available for this strategy because the strategy manager has capped the maximum number of subscribers.

Subscription terms. You can subscribe to this system for free.

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.

Hypothetical Monthly Returns (includes system fee and Typical Broker commissions and fees)
 JanFebMarAprMayJunJulAugSepOctNovDecYTD
2010(1.3%)(0.3%)  -    -    -    -    -    -    -    -    -    -  (1.7%)
2011  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2012  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2013  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2014  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2015  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2016  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2017  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2018  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2019  -    -    -    -    -    -    -    -    -    -    -  0.0
2020  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2021  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2022  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2023  -    -    -    -    -    -    -    -    -    -    -    -  0.0
2024  -    -    -    -                                                  0.0

Model Account Details

A trading strategy on Collective2. Follow it in your broker account, or use a free simulated trading account.

Advanced users may want to use this information to adjust their AutoTrade scaling, or merely to understand the magnitudes of the nearby chart.

Statistics

  • Strategy began
    1/5/2010
  • Suggested Minimum Cap
    $10,000
  • Strategy Age (days)
    5215.69
  • Age
    174 months ago
  • What it trades
  • # Trades
    0
  • # Profitable
    0
  • % Profitable
    n/a
  • Avg trade duration
  • Max peak-to-valley drawdown
    %
  • drawdown period
    Dec , - Dec ,
  • Annual return (compounded)
    0.0%
  • Avg win
    -
  • Avg loss
    -
  • Model Account Values (Raw)
  • Cash
    $10,000
  • Margin Used
    $0
  • Buying Power
    $10,000
  • Ratios
  • W:L ratio
    -
  • Sharpe Ratio
    -10.4
  • Sortino Ratio
    -8.7
  • Calmar Ratio
  • CORRELATION STATISTICS
  • Return of Strat Pcnt - Return of SP500 Pcnt (cumu)
    -52.88%
  • Correlation to SP500
    -0.00070
  • Return Percent SP500 (cumu) during strategy life
    345.45%
  • Return Statistics
  • Ann Return (w trading costs)
    n/a
  • Slump
  • Current Slump as Pcnt Equity
    1.30%
  • Current Slump, time of slump as pcnt of strategy life
    1.00%
  • Return Statistics
  • Return Pcnt Since TOS Status
    n/a
  • Ann Return (Compnd, No Fees)
    n/a
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
    n/a
  • Chance of 20% account loss
    n/a
  • Chance of 30% account loss
    n/a
  • Chance of 40% account loss
    n/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 Automated
    n/a
  • Risk of Ruin (Monte-Carlo)
  • Chance of 50% account loss
    n/a
  • Popularity
  • Popularity (Today)
    0
  • Popularity (Last 6 weeks)
    0
  • Popularity (7 days, Percentile 1000 scale)
    0
  • Trades-Own-System Certification
  • Trades Own System?
    -
  • TOS percent
    n/a
  • Win / Loss
  • Avg Loss
    $0
  • Avg Win
    $0
  • Sum Trade PL (losers)
    $0.000
  • Age
  • Num Months filled monthly returns table
    172
  • Win / Loss
  • Sum Trade PL (winners)
    $0.000
  • # Winners
    0
  • Num Months Winners
    0
  • Dividends
  • Dividends Received in Model Acct
    0
  • Win / Loss
  • # Losers
    0
  • Regression
  • Alpha
    -0.01
  • Beta
    0.00
  • Treynor Index
    -
  • Maximum Adverse Excursion (MAE)
  • Hold-and-Hope Ratio
    0.000
  • Analysis based on MONTHLY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.00000
  • SD
    0.00000
  • Sharpe ratio (Glass type estimate)
    0.00000
  • Sharpe ratio (Hedges UMVUE)
    0.00000
  • df
    0.00000
  • t
    0.00000
  • p
    0.00000
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.00000
  • Upperbound of 95% confidence interval for Sharpe Ratio
    0.00000
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.00000
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.00000
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.00000
  • Upside Potential Ratio
    0.00000
  • Upside part of mean
    0.00000
  • Downside part of mean
    0.00000
  • Upside SD
    0.00000
  • Downside SD
    0.00000
  • N nonnegative terms
    50.00000
  • N negative terms
    0.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    50.00000
  • Mean of predictor
    255.22900
  • Mean of criterion
    0.00000
  • SD of predictor
    520.14700
  • SD of criterion
    0.00000
  • Covariance
    0.00000
  • r
    0.00000
  • b (slope, estimate of beta)
    0.00000
  • a (intercept, estimate of alpha)
    0.00000
  • Mean Square Error
    0.00000
  • DF error
    0.00000
  • t(b)
    0.00000
  • p(b)
    0.00000
  • t(a)
    0.00000
  • p(a)
    0.00000
  • Lowerbound of 95% confidence interval for beta
    0.00000
  • Upperbound of 95% confidence interval for beta
    0.00000
  • Lowerbound of 95% confidence interval for alpha
    0.00000
  • Upperbound of 95% confidence interval for alpha
    0.00000
  • Treynor index (mean / b)
    0.00000
  • Jensen alpha (a)
    0.00000
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.00000
  • SD
    0.00000
  • Sharpe ratio (Glass type estimate)
    0.00000
  • Sharpe ratio (Hedges UMVUE)
    0.00000
  • df
    0.00000
  • t
    0.00000
  • p
    0.00000
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.00000
  • Upperbound of 95% confidence interval for Sharpe Ratio
    0.00000
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.00000
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.00000
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.00000
  • Upside Potential Ratio
    0.00000
  • Upside part of mean
    0.00000
  • Downside part of mean
    0.00000
  • Upside SD
    0.00000
  • Downside SD
    0.00000
  • N nonnegative terms
    50.00000
  • N negative terms
    0.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    50.00000
  • Mean of predictor
    2.03754
  • Mean of criterion
    0.00000
  • SD of predictor
    3.40779
  • SD of criterion
    0.00000
  • Covariance
    0.00000
  • r
    0.00000
  • b (slope, estimate of beta)
    0.00000
  • a (intercept, estimate of alpha)
    0.00000
  • Mean Square Error
    0.00000
  • DF error
    0.00000
  • t(b)
    0.00000
  • p(b)
    0.00000
  • t(a)
    0.00000
  • p(a)
    0.00000
  • Lowerbound of 95% confidence interval for beta
    0.00000
  • Upperbound of 95% confidence interval for beta
    0.00000
  • Lowerbound of 95% confidence interval for alpha
    0.00000
  • Upperbound of 95% confidence interval for alpha
    0.00000
  • Treynor index (mean / b)
    0.00000
  • Jensen alpha (a)
    0.00000
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.00000
  • Expected Shortfall on VaR
    0.00000
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.00000
  • Expected Shortfall on VaR
    0.00000
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    50.00000
  • Minimum
    1.00000
  • Quartile 1
    1.00000
  • Median
    1.00000
  • Quartile 3
    1.00000
  • Maximum
    1.00000
  • Mean of quarter 1
    1.00000
  • Mean of quarter 2
    1.00000
  • Mean of quarter 3
    1.00000
  • Mean of quarter 4
    1.00000
  • Inter Quartile Range
    0.00000
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    0.00000
  • Percentage of outliers high
    0.00000
  • Mean of outliers high
    0.00000
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    0.00000
  • VaR(95%) (moments method)
    0.00000
  • Expected Shortfall (moments method)
    0.00000
  • Extreme Value Index (regression method)
    0.00000
  • VaR(95%) (regression method)
    0.00000
  • Expected Shortfall (regression method)
    0.00000
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    0.00000
  • Minimum
    0.00000
  • Quartile 1
    0.00000
  • Median
    0.00000
  • Quartile 3
    0.00000
  • Maximum
    0.00000
  • Mean of quarter 1
    0.00000
  • Mean of quarter 2
    0.00000
  • Mean of quarter 3
    0.00000
  • Mean of quarter 4
    0.00000
  • Inter Quartile Range
    0.00000
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    0.00000
  • Percentage of outliers high
    0.00000
  • Mean of outliers high
    0.00000
  • 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)
    0.00000
  • Compounded annual return (geometric extrapolation)
    0.00000
  • Calmar ratio (compounded annual return / max draw down)
    0.00000
  • Compounded annual return / average of 25% largest draw downs
    0.00000
  • Compounded annual return / Expected Shortfall lognormal
    0.00000
  • 0.00000
  • 0.00000
  • Analysis based on DAILY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.00000
  • SD
    0.00000
  • Sharpe ratio (Glass type estimate)
    0.00000
  • Sharpe ratio (Hedges UMVUE)
    0.00000
  • df
    0.00000
  • t
    0.00000
  • p
    0.00000
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.00000
  • Upperbound of 95% confidence interval for Sharpe Ratio
    0.00000
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.00000
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.00000
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.00000
  • Upside Potential Ratio
    0.00000
  • Upside part of mean
    0.00000
  • Downside part of mean
    0.00000
  • Upside SD
    0.00000
  • Downside SD
    0.00000
  • N nonnegative terms
    1103.00000
  • N negative terms
    0.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    1103.00000
  • Mean of predictor
    270.24200
  • Mean of criterion
    0.00000
  • SD of predictor
    553.65200
  • SD of criterion
    0.00000
  • Covariance
    0.00000
  • r
    0.00000
  • b (slope, estimate of beta)
    0.00000
  • a (intercept, estimate of alpha)
    -
  • Mean Square Error
    0.00000
  • DF error
    0.00000
  • t(b)
    0.00000
  • p(b)
    0.00000
  • t(a)
    0.00000
  • p(a)
    0.00000
  • Lowerbound of 95% confidence interval for beta
    0.00000
  • Upperbound of 95% confidence interval for beta
    0.00000
  • Lowerbound of 95% confidence interval for alpha
    0.00000
  • Upperbound of 95% confidence interval for alpha
    0.00000
  • Treynor index (mean / b)
    0.00000
  • Jensen alpha (a)
    0.00000
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.00000
  • SD
    0.00000
  • Sharpe ratio (Glass type estimate)
    0.00000
  • Sharpe ratio (Hedges UMVUE)
    0.00000
  • df
    0.00000
  • t
    0.00000
  • p
    0.00000
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.00000
  • Upperbound of 95% confidence interval for Sharpe Ratio
    0.00000
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.00000
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.00000
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.00000
  • Upside Potential Ratio
    0.00000
  • Upside part of mean
    0.00000
  • Downside part of mean
    0.00000
  • Upside SD
    0.00000
  • Downside SD
    0.00000
  • N nonnegative terms
    1103.00000
  • N negative terms
    0.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    1103.00000
  • Mean of predictor
    2.02555
  • Mean of criterion
    0.00000
  • SD of predictor
    3.44368
  • SD of criterion
    0.00000
  • Covariance
    0.00000
  • r
    0.00000
  • b (slope, estimate of beta)
    0.00000
  • a (intercept, estimate of alpha)
    0.00000
  • Mean Square Error
    0.00000
  • DF error
    0.00000
  • t(b)
    0.00000
  • p(b)
    0.00000
  • t(a)
    0.00000
  • p(a)
    0.00000
  • Lowerbound of 95% confidence interval for beta
    0.00000
  • Upperbound of 95% confidence interval for beta
    0.00000
  • Lowerbound of 95% confidence interval for alpha
    0.00000
  • Upperbound of 95% confidence interval for alpha
    0.00000
  • Treynor index (mean / b)
    0.00000
  • Jensen alpha (a)
    0.00000
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.00000
  • Expected Shortfall on VaR
    0.00000
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.00000
  • Expected Shortfall on VaR
    0.00000
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    1103.00000
  • Minimum
    1.00000
  • Quartile 1
    1.00000
  • Median
    1.00000
  • Quartile 3
    1.00000
  • Maximum
    1.00000
  • Mean of quarter 1
    1.00000
  • Mean of quarter 2
    1.00000
  • Mean of quarter 3
    1.00000
  • Mean of quarter 4
    1.00000
  • Inter Quartile Range
    0.00000
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    0.00000
  • Percentage of outliers high
    0.00000
  • Mean of outliers high
    0.00000
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    0.00000
  • VaR(95%) (moments method)
    0.00000
  • Expected Shortfall (moments method)
    0.00000
  • Extreme Value Index (regression method)
    0.00000
  • VaR(95%) (regression method)
    0.00000
  • Expected Shortfall (regression method)
    0.00000
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    0.00000
  • Minimum
    0.00000
  • Quartile 1
    0.00000
  • Median
    0.00000
  • Quartile 3
    0.00000
  • Maximum
    0.00000
  • Mean of quarter 1
    0.00000
  • Mean of quarter 2
    0.00000
  • Mean of quarter 3
    0.00000
  • Mean of quarter 4
    0.00000
  • Inter Quartile Range
    0.00000
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    0.00000
  • Percentage of outliers high
    0.00000
  • Mean of outliers high
    0.00000
  • 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)
    0.00000
  • Compounded annual return (geometric extrapolation)
    0.00000
  • Calmar ratio (compounded annual return / max draw down)
    0.00000
  • Compounded annual return / average of 25% largest draw downs
    0.00000
  • Compounded annual return / Expected Shortfall lognormal
    0.00000
  • 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
    0.00000
  • SD
    0.00000
  • Sharpe ratio (Glass type estimate)
    0.00000
  • Sharpe ratio (Hedges UMVUE)
    0.00000
  • df
    0.00000
  • t
    0.00000
  • p
    0.00000
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.00000
  • Upperbound of 95% confidence interval for Sharpe Ratio
    0.00000
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.00000
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.00000
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.00000
  • Upside Potential Ratio
    0.00000
  • Upside part of mean
    0.00000
  • Downside part of mean
    0.00000
  • Upside SD
    0.00000
  • Downside SD
    0.00000
  • N nonnegative terms
    131.00000
  • N negative terms
    0.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.35297
  • Mean of criterion
    0.00000
  • SD of predictor
    0.39747
  • SD of criterion
    0.00000
  • Covariance
    0.00000
  • r
    0.00000
  • b (slope, estimate of beta)
    0.00000
  • a (intercept, estimate of alpha)
    0.00000
  • Mean Square Error
    0.00000
  • DF error
    0.00000
  • t(b)
    0.00000
  • p(b)
    0.00000
  • t(a)
    0.00000
  • p(a)
    0.00000
  • Lowerbound of 95% confidence interval for beta
    0.00000
  • Upperbound of 95% confidence interval for beta
    0.00000
  • Lowerbound of 95% confidence interval for alpha
    0.00000
  • Upperbound of 95% confidence interval for alpha
    0.00000
  • Treynor index (mean / b)
    0.00000
  • Jensen alpha (a)
    0.00000
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.00000
  • SD
    0.00000
  • Sharpe ratio (Glass type estimate)
    0.00000
  • Sharpe ratio (Hedges UMVUE)
    0.00000
  • df
    0.00000
  • t
    0.00000
  • p
    0.00000
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.00000
  • Upperbound of 95% confidence interval for Sharpe Ratio
    0.00000
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.00000
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.00000
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.00000
  • Upside Potential Ratio
    0.00000
  • Upside part of mean
    0.00000
  • Downside part of mean
    0.00000
  • Upside SD
    0.00000
  • Downside SD
    0.00000
  • N nonnegative terms
    131.00000
  • N negative terms
    0.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.27349
  • Mean of criterion
    0.00000
  • SD of predictor
    0.40106
  • SD of criterion
    0.00000
  • Covariance
    0.00000
  • r
    0.00000
  • b (slope, estimate of beta)
    0.00000
  • a (intercept, estimate of alpha)
    0.00000
  • Mean Square Error
    0.00000
  • DF error
    0.00000
  • t(b)
    0.00000
  • p(b)
    0.00000
  • t(a)
    0.00000
  • p(a)
    0.00000
  • VAR (95 Confidence Intrvl)
    -
  • Lowerbound of 95% confidence interval for beta
    0.00000
  • Upperbound of 95% confidence interval for beta
    0.00000
  • Lowerbound of 95% confidence interval for alpha
    0.00000
  • Upperbound of 95% confidence interval for alpha
    0.00000
  • Treynor index (mean / b)
    0.00000
  • Jensen alpha (a)
    0.00000
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.00000
  • Expected Shortfall on VaR
    0.00000
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.00000
  • Expected Shortfall on VaR
    0.00000
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    131.00000
  • Minimum
    1.00000
  • Quartile 1
    1.00000
  • Median
    1.00000
  • Quartile 3
    1.00000
  • Maximum
    1.00000
  • Mean of quarter 1
    1.00000
  • Mean of quarter 2
    1.00000
  • Mean of quarter 3
    1.00000
  • Mean of quarter 4
    1.00000
  • Inter Quartile Range
    0.00000
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    0.00000
  • Percentage of outliers high
    0.00000
  • Mean of outliers high
    0.00000
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    0.00000
  • VaR(95%) (moments method)
    0.00000
  • Expected Shortfall (moments method)
    0.00000
  • Extreme Value Index (regression method)
    0.00000
  • VaR(95%) (regression method)
    0.00000
  • Expected Shortfall (regression method)
    0.00000
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    0.00000
  • Minimum
    0.00000
  • Quartile 1
    0.00000
  • Median
    0.00000
  • Quartile 3
    0.00000
  • Maximum
    0.00000
  • Mean of quarter 1
    0.00000
  • Mean of quarter 2
    0.00000
  • Mean of quarter 3
    0.00000
  • Mean of quarter 4
    0.00000
  • Inter Quartile Range
    0.00000
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    0.00000
  • Percentage of outliers high
    0.00000
  • Mean of outliers high
    0.00000
  • 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 Negative
    n/a
  • Expected Shortfall (regression method)
    0.00000
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    0.00000
  • Compounded annual return (geometric extrapolation)
    0.00000
  • Calmar ratio (compounded annual return / max draw down)
    0.00000
  • Compounded annual return / average of 25% largest draw downs
    0.00000
  • Compounded annual return / Expected Shortfall lognormal
    0.00000

Strategy Description

A short-term stock options strategy that is based on a technical mix of overbought and oversold extremes in the market. The Sector ETF Extremes Stock Options Strategy is the same as the ETF Extremes Options Strategy with the only difference being the underlyings of choice.

Biotech (IBB), Consumer Discretionary (XLY), Health Care (XLV), Financial (XLF), Energy (XLE), Industrial (XLI), Materials (XLB), Real Estate (IYR), Retail (RTH), Utilities (XLU) are the underlyings of choice for the Sector Extremes Option Trading Strategy.

Individuals that look for frequency of trading within a given strategy are often disappointed with the long-term results. In most cases, the less you trade, the better you will do in the long run and the long run is what matters most.

This strategy uses our proprietary models to take advantage of sentiment and technical extremes. We are proud to be one of the only stock options-based newsletters to offer recommendations based on sentiment and technical extremes in the market. This options strategy requires patience coupled with a disciplined approach. The strategy will make approximately, on average 1 to 3 recommendations a month with holding periods of 1 to 5 days; however, there will be some months when no recommendations are made. The key to this stock options strategy is patience. Waiting for the appropriate scenario to recommend trades with a high probability of success is what makes this strategy a success.

Unfortunately, this options strategy is proprietary so we are unable to give you all the details. Although, we are certain if you follow our daily commentary and any subsequent trades you should gain a firm grasp of the strategy.
Trade this strategy at Interactive Brokers

Summary Statistics

Strategy began
2010-01-05
Suggested Minimum Capital
$10,000
# Trades
-
# Profitable
% Profitable
-%
Correlation S&P500
-0.001
Sharpe Ratio
-10.40
Sortino Ratio
-8.70
Beta
-0.00
Alpha
-0.01

Latest Activity

#PERSONNAME#
subscribed on started simulation #SUBSCRIBEDDATE#

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.