PCINDIA
(26342409)
Subscription terms. Subscriptions to this system cost $350.00 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.
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 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2007 | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (3.1%) | ||||
2008 | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (4.7%) |
2009 | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (0.4%) | (2.4%) | +14.8% | +17.5% | +5.3% | +34.0% |
2010 | (19.4%) | +7.0% | +25.6% | (8.3%) | (61.4%) | (22.6%) | +149.5% | (34.7%) | +112.3% | +14.8% | (42.5%) | +23.7% | (16.1%) |
2011 | +24.6% | +5.9% | +14.2% | +32.7% | (13.8%) | +2.3% | (9.8%) | +2.6% | (40.1%) | +46.6% | (31.2%) | (38.1%) | (38.8%) |
2012 | +18.8% | +45.5% | (3.9%) | (10.9%) | (71.9%) | +93.9% | (55.6%) | +85.6% | +45.1% | +19.1% | +1.5% | +38.4% | +61.7% |
2013 | +23.6% | (14.7%) | (14.5%) | +19.6% | (3.8%) | +10.8% | +6.8% | (3.2%) | +17.7% | +8.9% | (4.3%) | +12.6% | +64.0% |
2014 | (8.2%) | +8.2% | +1.6% | +2.3% | (11.5%) | +3.4% | (10.6%) | (12.9%) | (22.4%) | (6.4%) | +2.8% | (21.2%) | (56.7%) |
2015 | (88.7%) | (49.4%) | (609%) | (144.8%) | (201.9%) | (128.6%) | (355.8%) | (249.7%) | (47.5%) | (217.9%) | (418.3%) | (61.1%) | (118.2%) |
2016 | (10.4%) | (35.6%) | (156%) | (26.1%) | (167.8%) | (313.4%) | (5.7%) | (33.9%) | (11.7%) | (90.2%) | (53%) | (2.4%) | (219.4%) |
2017 | (19.4%) | (33.2%) | (13.5%) | (41.1%) | (61.6%) | (213.7%) | +240.2% | +30.5% | (21.1%) | (21%) | +65.0% | +17.6% | (228.3%) |
2018 | +58.4% | (26.9%) | +10.4% | (17.8%) | (52.1%) | (24.7%) | +57.0% | (24.6%) | (7.7%) | (50.2%) | (26.8%) | (0.5%) | (85%) |
2019 | +36.3% | (19.3%) | (113%) | (106%) | (5145.7%) | - | (492%) | (63.7%) | (41.6%) | (20.3%) | (68.4%) | (168.6%) | |
2020 | (232.7%) | (3.1%) | (38.7%) | (10.7%) | (9.9%) | (82.4%) | (818.2%) | +57.0% | (52.8%) | +1.3% | +104.8% | +35.4% | (1108.4%) |
2021 | (13.7%) | +10.4% | (33.9%) | +45.1% | +24.8% | (26.2%) | (12.5%) | (11.7%) | (35%) | +3.6% | (74.5%) | (74.1%) | (97.1%) |
2022 | (283.8%) | (297.1%) | (153.7%) | (393.8%) | (34.7%) | (72.3%) | (42.8%) | (29.3%) | (9.8%) | (10.9%) | (44.3%) | (44.4%) | (1347.8%) |
2023 | (52.3%) | (180%) | (66.7%) | (162%) | (312.2%) | (130%) | +144.7% | (153.9%) | (256.4%) | (4.8%) | (147.7%) | +23.5% | (151%) |
2024 | (80.8%) | +7.0% | (124.5%) | (583.2%) |
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 | $100,000 | |
Buy Power | $63,483 | |
Cash | $174,395 | |
Equity | ($88,460) | |
Cumulative $ | ($88,732) | |
Total System Equity | $11,267 | |
Margined | $22,451 | |
Open P/L | ($163,128) |
Trading Record
Statistics
-
Strategy began5/11/2007
-
Suggested Minimum Cap$100,000
-
Strategy Age (days)6196.69
-
Age207 months ago
-
What it tradesForex
-
# Trades166
-
# Profitable161
-
% Profitable97.00%
-
Avg trade duration66.5 days
-
Max peak-to-valley drawdown100%
-
drawdown periodMay 01, 2019 - Sept 25, 2022
-
Annual Return (Compounded)0.0%
-
Avg win$608.37
-
Avg loss$37,334
- Model Account Values (Raw)
-
Cash$174,395
-
Margin Used$22,451
-
Buying Power$63,483
- Ratios
-
W:L ratio0.52:1
-
Sharpe Ratio-0.33
-
Sortino Ratio-0.35
-
Calmar Ratio-0.246
- CORRELATION STATISTICS
-
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)-342.25%
-
Correlation to SP5000.11970
-
Return Percent SP500 (cumu) during strategy life233.26%
- Return Statistics
-
Ann Return (w trading costs)n/a
- Slump
-
Current Slump as Pcnt Equityn/a
- Instruments
-
Percent Trades Futuresn/a
- Slump
-
Current Slump, time of slump as pcnt of strategy life0.77%
- Return Statistics
-
Return Pcnt Since TOS Statusn/a
-
Return Pcnt (Compound or Annual, age-based, NFA compliant)n/a
- Instruments
-
Percent Trades Optionsn/a
-
Percent Trades Stocksn/a
-
Percent Trades Forex1.00%
- Return Statistics
-
Ann Return (Compnd, No Fees)-12.1%
- Risk of Ruin (Monte-Carlo)
-
Chance of 10% account loss100.00%
-
Chance of 20% account loss100.00%
-
Chance of 30% account loss100.00%
-
Chance of 40% account loss100.00%
-
Chance of 60% account loss (Monte Carlo)100.00%
-
Chance of 70% account loss (Monte Carlo)100.00%
-
Chance of 80% account loss (Monte Carlo)100.00%
-
Chance of 90% account loss (Monte Carlo)100.00%
-
Chance of 100% account loss (Monte Carlo)100.00%
- Automation
-
Percentage Signals Automatedn/a
- Risk of Ruin (Monte-Carlo)
-
Chance of 50% account loss100.00%
- Popularity
-
Popularity (Today)0
-
Popularity (Last 6 weeks)0
- Trading Style
-
Any stock shorts? 0/10
- Popularity
-
Popularity (7 days, Percentile 1000 scale)0
- Trades-Own-System Certification
-
Trades Own System?-
-
TOS percentn/a
- Win / Loss
-
Avg Loss$37,335
-
Avg Win$608
-
Sum Trade PL (losers)$186,674.000
- Age
-
Num Months filled monthly returns table95
- Win / Loss
-
Sum Trade PL (winners)$97,947.000
-
# Winners161
-
Num Months Winners36
- Dividends
-
Dividends Received in Model Acct0
- Win / Loss
-
# Losers5
-
% Winners97.0%
- Frequency
-
Avg Position Time (mins)95734.30
-
Avg Position Time (hrs)1595.57
-
Avg Trade Length66.5 days
-
Last Trade Ago5139
- Regression
-
Alpha0.00
-
Beta0.90
-
Treynor Index0.00
- Maximum Adverse Excursion (MAE)
-
MAE:Equity, average, all trades0.04
-
MAE:PL - Winning Trades - this strat Percentile of All Strats61.25
-
MAE:PL - worst single value for strategy-
-
MAE:PL - Losing Trades - this strat Percentile of All Strats75.12
-
MAE:PL (avg, winning trades)-
-
MAE:PL (avg, losing trades)-
-
MAE:PL (avg, all trades)2.31
-
MAE:Equity, average, winning trades0.04
-
MAE:Equity, average, losing trades0.02
-
Avg(MAE) / Avg(PL) - All trades-5.274
-
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 trades2.100
-
Avg(MAE) / Avg(PL) - Losing trades-1.397
-
Hold-and-Hope Ratio-0.335
- Analysis based on MONTHLY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean17599.40000
-
SD24075.00000
-
Sharpe ratio (Glass type estimate)0.73102
-
Sharpe ratio (Hedges UMVUE)0.72359
-
df74.00000
-
t1.82756
-
p0.03582
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.06413
-
Upperbound of 95% confidence interval for Sharpe Ratio1.52137
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.06902
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.51619
- Statistics related to Sortino ratio
-
Sortino ratio15613.60000
-
Upside Potential Ratio15615.10000
-
Upside part of mean17601.10000
-
Downside part of mean-1.78340
-
Upside SD24447.60000
-
Downside SD1.12718
-
N nonnegative terms44.00000
-
N negative terms31.00000
- Statistics related to linear regression on benchmark
-
N of observations75.00000
-
Mean of predictor0.18454
-
Mean of criterion17599.40000
-
SD of predictor0.26586
-
SD of criterion24075.00000
-
Covariance408.14000
-
r0.06377
-
b (slope, estimate of beta)5774.55000
-
a (intercept, estimate of alpha)16533.70000
-
Mean Square Error585155000.00000
-
DF error73.00000
-
t(b)0.54594
-
p(b)0.29339
-
t(a)1.67499
-
p(a)0.04911
-
Lowerbound of 95% confidence interval for beta-15305.90000
-
Upperbound of 95% confidence interval for beta26855.00000
-
Lowerbound of 95% confidence interval for alpha-3139.00000
-
Upperbound of 95% confidence interval for alpha36206.40000
-
Treynor index (mean / b)3.04775
-
Jensen alpha (a)16533.70000
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean-1.84207
-
SD12.01200
-
Sharpe ratio (Glass type estimate)-0.15335
-
Sharpe ratio (Hedges UMVUE)-0.15179
-
df74.00000
-
t-0.38338
-
p0.64873
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.93723
-
Upperbound of 95% confidence interval for Sharpe Ratio0.63152
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.93616
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0.63257
- Statistics related to Sortino ratio
-
Sortino ratio-0.20998
-
Upside Potential Ratio0.84616
-
Upside part of mean7.42301
-
Downside part of mean-9.26508
-
Upside SD8.10480
-
Downside SD8.77263
-
N nonnegative terms44.00000
-
N negative terms31.00000
- Statistics related to linear regression on benchmark
-
N of observations75.00000
-
Mean of predictor0.14907
-
Mean of criterion-1.84207
-
SD of predictor0.26376
-
SD of criterion12.01200
-
Covariance-0.05430
-
r-0.01714
-
b (slope, estimate of beta)-0.78055
-
a (intercept, estimate of alpha)-1.72571
-
Mean Square Error146.22100
-
DF error73.00000
-
t(b)-0.14646
-
p(b)0.55802
-
t(a)-0.35206
-
p(a)0.63710
-
Lowerbound of 95% confidence interval for beta-11.40210
-
Upperbound of 95% confidence interval for beta9.84102
-
Lowerbound of 95% confidence interval for alpha-11.49480
-
Upperbound of 95% confidence interval for alpha8.04336
-
Treynor index (mean / b)2.35995
-
Jensen alpha (a)-1.72571
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.99714
-
Expected Shortfall on VaR0.99889
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.30003
-
Expected Shortfall on VaR0.62349
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations75.00000
-
Minimum0.00002
-
Quartile 10.86923
-
Median1.00000
-
Quartile 31.00000
-
Maximum45118.00000
-
Mean of quarter 10.44914
-
Mean of quarter 20.96421
-
Mean of quarter 31.00000
-
Mean of quarter 45790.85000
-
Inter Quartile Range0.13077
-
Number outliers low12.00000
-
Percentage of outliers low0.16000
-
Mean of outliers low0.24744
-
Number of outliers high14.00000
-
Percentage of outliers high0.18667
-
Mean of outliers high7858.64000
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)0.11245
-
VaR(95%) (moments method)0.43950
-
Expected Shortfall (moments method)0.66914
-
Extreme Value Index (regression method)-4.00582
-
VaR(95%) (regression method)0.65482
-
Expected Shortfall (regression method)0.65546
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations4.00000
-
Minimum0.11259
-
Quartile 10.34817
-
Median0.48667
-
Quartile 30.65998
-
Maximum1.00000
-
Mean of quarter 10.11259
-
Mean of quarter 20.42670
-
Mean of quarter 30.54664
-
Mean of quarter 41.00000
-
Inter Quartile Range0.31180
-
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)-0.16000
-
Compounded annual return (geometric extrapolation)-0.84151
-
Calmar ratio (compounded annual return / max draw down)-0.84151
-
Compounded annual return / average of 25% largest draw downs-0.84151
-
Compounded annual return / Expected Shortfall lognormal-0.84245
-
0.00000
-
0.00000
- Analysis based on DAILY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean11627.40000
-
SD9148.93000
-
Sharpe ratio (Glass type estimate)1.27090
-
Sharpe ratio (Hedges UMVUE)1.27032
-
df1644.00000
-
t3.18451
-
p0.46085
-
Lowerbound of 95% confidence interval for Sharpe Ratio0.48730
-
Upperbound of 95% confidence interval for Sharpe Ratio2.05411
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.48692
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.05372
- Statistics related to Sortino ratio
-
Sortino ratio5398.54000
-
Upside Potential Ratio5403.04000
-
Upside part of mean11637.10000
-
Downside part of mean-9.70294
-
Upside SD9174.32000
-
Downside SD2.15380
-
N nonnegative terms1160.00000
-
N negative terms485.00000
- Statistics related to linear regression on benchmark
-
N of observations1645.00000
-
Mean of predictor0.36399
-
Mean of criterion11627.40000
-
SD of predictor0.58820
-
SD of criterion9148.93000
-
Covariance64.11100
-
r0.01191
-
b (slope, estimate of beta)185.30200
-
a (intercept, estimate of alpha)11559.90000
-
Mean Square Error83742000.00000
-
DF error1643.00000
-
t(b)0.48293
-
p(b)0.49242
-
t(a)3.16299
-
p(a)0.45052
-
Lowerbound of 95% confidence interval for beta-567.29500
-
Upperbound of 95% confidence interval for beta937.89800
-
Lowerbound of 95% confidence interval for alpha4391.47000
-
Upperbound of 95% confidence interval for alpha18728.40000
-
Treynor index (mean / b)62.74830
-
Jensen alpha (a)11559.90000
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean-0.28244
-
SD18.80800
-
Sharpe ratio (Glass type estimate)-0.01502
-
Sharpe ratio (Hedges UMVUE)-0.01501
-
df1644.00000
-
t-0.03763
-
p0.50046
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.79721
-
Upperbound of 95% confidence interval for Sharpe Ratio0.76718
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.79721
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0.76719
- Statistics related to Sortino ratio
-
Sortino ratio-0.02106
-
Upside Potential Ratio2.21298
-
Upside part of mean29.67800
-
Downside part of mean-29.96040
-
Upside SD13.17860
-
Downside SD13.41090
-
N nonnegative terms1160.00000
-
N negative terms485.00000
- Statistics related to linear regression on benchmark
-
N of observations1645.00000
-
Mean of predictor0.19215
-
Mean of criterion-0.28244
-
SD of predictor0.58713
-
SD of criterion18.80800
-
Covariance0.47809
-
r0.04329
-
b (slope, estimate of beta)1.38689
-
a (intercept, estimate of alpha)-0.54893
-
Mean Square Error353.29300
-
DF error1643.00000
-
t(b)1.75655
-
p(b)0.47245
-
t(a)-0.07316
-
p(a)0.50115
-
Lowerbound of 95% confidence interval for beta-0.16175
-
Upperbound of 95% confidence interval for beta2.93552
-
Lowerbound of 95% confidence interval for alpha-15.26500
-
Upperbound of 95% confidence interval for alpha14.16720
-
Treynor index (mean / b)-0.20365
-
Jensen alpha (a)-0.54893
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.85227
-
Expected Shortfall on VaR0.90183
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.05495
-
Expected Shortfall on VaR0.13843
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations1645.00000
-
Minimum0.00008
-
Quartile 10.99091
-
Median1.00000
-
Quartile 31.00896
-
Maximum13085.00000
-
Mean of quarter 10.85290
-
Mean of quarter 20.99923
-
Mean of quarter 31.00079
-
Mean of quarter 4178.77200
-
Inter Quartile Range0.01806
-
Number outliers low285.00000
-
Percentage of outliers low0.17325
-
Mean of outliers low0.79624
-
Number of outliers high279.00000
-
Percentage of outliers high0.16961
-
Mean of outliers high262.87000
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)1.04449
-
VaR(95%) (moments method)0.08653
-
Expected Shortfall (moments method)0.00000
-
Extreme Value Index (regression method)-0.29125
-
VaR(95%) (regression method)0.09950
-
Expected Shortfall (regression method)0.13357
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations17.00000
-
Minimum0.00043
-
Quartile 10.02058
-
Median0.10552
-
Quartile 30.25354
-
Maximum1.00000
-
Mean of quarter 10.00621
-
Mean of quarter 20.07312
-
Mean of quarter 30.15629
-
Mean of quarter 40.69537
-
Inter Quartile Range0.23296
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high2.00000
-
Percentage of outliers high0.11765
-
Mean of outliers high0.88706
- Risk estimates based on draw downs (based on Extreme Value T
-
Extreme Value Index (moments method)-3.91986
-
VaR(95%) (moments method)0.55995
-
Expected Shortfall (moments method)0.56051
-
Extreme Value Index (regression method)-0.43128
-
VaR(95%) (regression method)0.78891
-
Expected Shortfall (regression method)0.93623
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)-0.13223
-
Compounded annual return (geometric extrapolation)-0.24605
-
Calmar ratio (compounded annual return / max draw down)-0.24606
-
Compounded annual return / average of 25% largest draw downs-0.35385
-
Compounded annual return / Expected Shortfall lognormal-0.27284
-
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
-
Mean30258.20000
-
SD13866.50000
-
Sharpe ratio (Glass type estimate)2.18210
-
Sharpe ratio (Hedges UMVUE)2.16949
-
df130.00000
-
t1.54298
-
p0.43295
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.60649
-
Upperbound of 95% confidence interval for Sharpe Ratio4.96245
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.61484
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.95381
- Statistics related to Sortino ratio
-
Sortino ratio8128.83000
-
Upside Potential Ratio8135.62000
-
Upside part of mean30283.50000
-
Downside part of mean-25.29510
-
Upside SD13939.40000
-
Downside SD3.72233
-
N nonnegative terms78.00000
-
N negative terms53.00000
- Statistics related to linear regression on benchmark
-
N of observations131.00000
-
Mean of predictor1.48268
-
Mean of criterion30258.20000
-
SD of predictor0.69691
-
SD of criterion13866.50000
-
Covariance700.36600
-
r0.07247
-
b (slope, estimate of beta)1442.01000
-
a (intercept, estimate of alpha)28120.10000
-
Mean Square Error192754000.00000
-
DF error129.00000
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t(b)0.82531
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p(b)0.45390
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t(a)1.41989
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p(a)0.42123
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Lowerbound of 95% confidence interval for beta-2014.94000
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Upperbound of 95% confidence interval for beta4898.96000
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Lowerbound of 95% confidence interval for alpha-11063.60000
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Upperbound of 95% confidence interval for alpha67303.90000
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Treynor index (mean / b)20.98330
-
Jensen alpha (a)28120.10000
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean-1.70024
-
SD32.33370
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Sharpe ratio (Glass type estimate)-0.05258
-
Sharpe ratio (Hedges UMVUE)-0.05228
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df130.00000
-
t-0.03718
-
p0.50163
-
Lowerbound of 95% confidence interval for Sharpe Ratio-2.82440
-
Upperbound of 95% confidence interval for Sharpe Ratio2.71923
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-2.82409
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.71953
- Statistics related to Sortino ratio
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Sortino ratio-0.07367
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Upside Potential Ratio3.64172
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Upside part of mean84.05310
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Downside part of mean-85.75340
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Upside SD22.46740
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Downside SD23.08060
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N nonnegative terms78.00000
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N negative terms53.00000
- Statistics related to linear regression on benchmark
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N of observations131.00000
-
Mean of predictor1.21653
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Mean of criterion-1.70024
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SD of predictor0.74568
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SD of criterion32.33370
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Covariance5.16684
-
r0.21430
-
b (slope, estimate of beta)9.29229
-
a (intercept, estimate of alpha)-13.00460
-
Mean Square Error1005.19000
-
DF error129.00000
-
t(b)2.49185
-
p(b)0.36462
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t(a)-0.28857
-
p(a)0.51617
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VAR (95 Confidence Intrvl)0.85200
-
Lowerbound of 95% confidence interval for beta1.91423
-
Upperbound of 95% confidence interval for beta16.67040
-
Lowerbound of 95% confidence interval for alpha-102.16900
-
Upperbound of 95% confidence interval for alpha76.15990
-
Treynor index (mean / b)-0.18297
-
Jensen alpha (a)-13.00460
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.96283
-
Expected Shortfall on VaR0.98027
- assuming Pareto losses only (using partial moments from Sortino statistics)
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VaR(95%)0.19003
-
Expected Shortfall on VaR0.40962
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations131.00000
-
Minimum0.00009
-
Quartile 10.90653
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Median1.00000
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Quartile 31.09937
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Maximum8821.00000
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Mean of quarter 10.64072
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Mean of quarter 20.97602
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Mean of quarter 31.02847
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Mean of quarter 4459.81300
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Inter Quartile Range0.19284
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Number outliers low11.00000
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Percentage of outliers low0.08397
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Mean of outliers low0.30375
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Number of outliers high14.00000
-
Percentage of outliers high0.10687
-
Mean of outliers high1082.18000
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)0.38611
-
VaR(95%) (moments method)0.32422
-
Expected Shortfall (moments method)0.63737
-
Extreme Value Index (regression method)-1.16117
-
VaR(95%) (regression method)0.30105
-
Expected Shortfall (regression method)0.32113
- DRAW DOWN STATISTICS
- Quartiles of draw downs
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Number of observations9.00000
-
Minimum0.07744
-
Quartile 10.10766
-
Median0.30647
-
Quartile 30.50423
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Maximum0.99999
-
Mean of quarter 10.09310
-
Mean of quarter 20.20709
-
Mean of quarter 30.44544
-
Mean of quarter 40.99998
-
Inter Quartile Range0.39656
-
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)-23856100000.00000
-
VaR(95%) (moments method)0.84948
-
Expected Shortfall (moments method)0.00000
-
Extreme Value Index (regression method)-17.27100
-
VaR(95%) (regression method)63.63570
-
Last 4 Months - Pcnt Negative1.00%
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Expected Shortfall (regression method)63.63570
-
Strat Max DD how much worse than SP500 max DD during strat life?-365950000
-
Max Equity Drawdown (num days)1243
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)-1.14527
-
Compounded annual return (geometric extrapolation)-0.81736
-
Calmar ratio (compounded annual return / max draw down)-0.81737
-
Compounded annual return / average of 25% largest draw downs-0.81737
-
Compounded annual return / Expected Shortfall lognormal-0.83381
Strategy Description
" TRADED AGAINST THE TREND "
With a clear definition of a starting and a started trend, this order-setting based trading system is traded on the most likely reversal points to a developing trend. Each trade has the potential of about 75- 200 pips with an average duration of 6-24 hours..
The mode of analysis for the pair under review is technical in nature and returns the two most likely reversal points on each side of the price. we take a position on the first expected reversal. In case of failure of the first point, the second reversal becomes 'almost a cinch' and a movement back to the first point becomes inevitable.
Further explained here:
Price X- If price goes up, Point A is the first reversal. If that fails, then point B is the sure reversal.
Price X- If price goes down, point C is the first reversal. If it fails, then point D is the sure reversal.
Advanced orders are set at all four points. All four points develop in the course of time as the perfect reversals, either up or down. The extra time consumed by the trade ( in the event of first point failure ), is adequately covered by 3- pairs-portfolio-designing. ( Read below )
How to set up your risk management style:
- Use 1 %margin. That means, for every 2500 pips that you may have in your account, you should trade 1 lot. Even with that conservative approach, you are looking at making about 10% on a 250 Pip trade.
- To cover up the draw downs because of the first point failure, consider making a portfolio with at least 3 different positions. All these positions close one by one and the cycle continues with newer order settings.
- Remember that for every lot that you trade, you must have 2500 pips in your account. 3 positions would mean 3*2500= 7500 pips. Maintain that mathematics to keep your draw downs below 10%.
- currencies traded are:
gbp/eur/usd/chf/cad/aud/nzd/jpy
Latest Activity
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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