Position trading TQQQ
(141158577)
Subscription terms. Subscriptions to this system cost $100.00 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.
Momentum
Aims to capitalize on the continuance of existing trends in the market. Trader takes a long position in an asset in an upward trend, and short-sells a security that has been in a downward trend. While similar to Trend-following, tends to be more forward-looking (predicting oncoming trend), while Momentum is more backward-looking (observing already-established price direction).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 | +7.0% | +5.0% | (16.7%) | (1.5%) | +13.0% | (17.3%) | (13.9%) | ||||||
2023 | +12.6% | (5.8%) | +7.1% | (1.4%) | +24.6% | +12.3% | +10.2% | (2.2%) | (6.7%) | (3.4%) | +9.9% | +3.4% | +72.8% |
2024 | +7.4% | +4.4% | (1%) | (9.4%) | +20.3% | +1.5% | (3.8%) | +0.8% | (4.6%) | (1%) | (10.7%) | +0.4% |
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 | $10,000 | |
Buy Power | $15,730 | |
Cash | $1 | |
Equity | $1 | |
Cumulative $ | $9,033 | |
Includes dividends and cash-settled expirations: | $192 | Itemized |
Total System Equity | $19,033 | |
Margined | $1 | |
Open P/L | ($2,766) | |
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 began7/23/2022
-
Suggested Minimum Cap$5,000
-
Strategy Age (days)854.68
-
Age29 months ago
-
What it tradesStocks
-
# Trades41
-
# Profitable17
-
% Profitable41.50%
-
Avg trade duration18.7 days
-
Max peak-to-valley drawdown31.97%
-
drawdown periodFeb 02, 2023 - March 16, 2023
-
Annual Return (Compounded)18.6%
-
Avg win$1,076
-
Avg loss$394.00
- Model Account Values (Raw)
-
Cash$18,490
-
Margin Used$0
-
Buying Power$15,730
- Ratios
-
W:L ratio1.96:1
-
Sharpe Ratio0.52
-
Sortino Ratio0.78
-
Calmar Ratio1.349
- CORRELATION STATISTICS
-
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)-1.32%
-
Correlation to SP5000.47090
-
Return Percent SP500 (cumu) during strategy life50.68%
- Return Statistics
-
Ann Return (w trading costs)18.6%
- Slump
-
Current Slump as Pcnt Equity33.30%
- Instruments
-
Percent Trades Futuresn/a
- Slump
-
Current Slump, time of slump as pcnt of strategy life0.16%
- Return Statistics
-
Return Pcnt Since TOS Statusn/a
- Instruments
-
Short Options - Percent Covered100.00%
- Return Statistics
-
Return Pcnt (Compound or Annual, age-based, NFA compliant)0.186%
- Instruments
-
Percent Trades Optionsn/a
-
Percent Trades Stocks1.00%
-
Percent Trades Forexn/a
- Return Statistics
-
Ann Return (Compnd, No Fees)31.6%
- Risk of Ruin (Monte-Carlo)
-
Chance of 10% account loss60.50%
-
Chance of 20% account loss22.50%
-
Chance of 30% account loss5.00%
-
Chance of 40% account loss0.50%
-
Chance of 60% account loss (Monte Carlo)n/a
-
Chance of 70% account loss (Monte Carlo)n/a
-
Chance of 80% account loss (Monte Carlo)n/a
-
Chance of 90% account loss (Monte Carlo)n/a
- Automation
-
Percentage Signals Automatedn/a
- Risk of Ruin (Monte-Carlo)
-
Chance of 50% account lossn/a
- Popularity
-
Popularity (Today)0
-
Popularity (Last 6 weeks)861
- Trading Style
-
Any stock shorts? 0/10
- Popularity
-
C2 Score326
-
Popularity (7 days, Percentile 1000 scale)679
- Trades-Own-System Certification
-
Trades Own System?-
-
TOS percentn/a
- Win / Loss
-
Avg Loss$394
-
Avg Win$1,076
-
Sum Trade PL (losers)$9,456.000
- Age
-
Num Months filled monthly returns table29
- Win / Loss
-
Sum Trade PL (winners)$18,296.000
-
# Winners17
-
Num Months Winners15
- Dividends
-
Dividends Received in Model Acct193
- AUM
-
AUM (AutoTrader live capital)18793
- Win / Loss
-
# Losers24
-
% Winners41.5%
- Frequency
-
Avg Position Time (mins)26934.70
-
Avg Position Time (hrs)448.91
-
Avg Trade Length18.7 days
-
Last Trade Ago2
- Leverage
-
Daily leverage (average)1.58
-
Daily leverage (max)3.86
- Regression
-
Alpha0.01
-
Beta1.09
-
Treynor Index0.05
- Maximum Adverse Excursion (MAE)
-
MAE:Equity, average, all trades0.03
-
MAE:PL - worst single value for strategy-
-
MAE:PL (avg, winning trades)-
-
MAE:PL (avg, losing trades)-
-
MAE:PL (avg, all trades)0.86
-
MAE:Equity, average, winning trades0.03
-
MAE:Equity, average, losing trades0.04
-
Avg(MAE) / Avg(PL) - All trades1.471
-
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 trades0.338
-
Avg(MAE) / Avg(PL) - Losing trades-1.170
-
Hold-and-Hope Ratio0.462
- Analysis based on MONTHLY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean0.36080
-
SD0.32688
-
Sharpe ratio (Glass type estimate)1.10378
-
Sharpe ratio (Hedges UMVUE)1.07028
-
df25.00000
-
t1.62473
-
p0.05838
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.27253
-
Upperbound of 95% confidence interval for Sharpe Ratio2.45923
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.29390
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.43446
- Statistics related to Sortino ratio
-
Sortino ratio2.42940
-
Upside Potential Ratio4.21632
-
Upside part of mean0.62619
-
Downside part of mean-0.26539
-
Upside SD0.30254
-
Downside SD0.14852
-
N nonnegative terms15.00000
-
N negative terms11.00000
- Statistics related to linear regression on benchmark
-
N of observations26.00000
-
Mean of predictor0.15398
-
Mean of criterion0.36080
-
SD of predictor0.15124
-
SD of criterion0.32688
-
Covariance0.02965
-
r0.59965
-
b (slope, estimate of beta)1.29601
-
a (intercept, estimate of alpha)0.16124
-
Mean Square Error0.07128
-
DF error24.00000
-
t(b)3.67089
-
p(b)0.00060
-
t(a)0.85153
-
p(a)0.20145
-
Lowerbound of 95% confidence interval for beta0.56735
-
Upperbound of 95% confidence interval for beta2.02467
-
Lowerbound of 95% confidence interval for alpha-0.22956
-
Upperbound of 95% confidence interval for alpha0.55204
-
Treynor index (mean / b)0.27839
-
Jensen alpha (a)0.16124
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean0.30738
-
SD0.31254
-
Sharpe ratio (Glass type estimate)0.98351
-
Sharpe ratio (Hedges UMVUE)0.95366
-
df25.00000
-
t1.44769
-
p0.08007
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.38474
-
Upperbound of 95% confidence interval for Sharpe Ratio2.33300
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.40386
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.31117
- Statistics related to Sortino ratio
-
Sortino ratio1.93426
-
Upside Potential Ratio3.67615
-
Upside part of mean0.58420
-
Downside part of mean-0.27681
-
Upside SD0.27666
-
Downside SD0.15892
-
N nonnegative terms15.00000
-
N negative terms11.00000
- Statistics related to linear regression on benchmark
-
N of observations26.00000
-
Mean of predictor0.14172
-
Mean of criterion0.30738
-
SD of predictor0.15169
-
SD of criterion0.31254
-
Covariance0.02932
-
r0.61843
-
b (slope, estimate of beta)1.27421
-
a (intercept, estimate of alpha)0.12679
-
Mean Square Error0.06284
-
DF error24.00000
-
t(b)3.85529
-
p(b)0.00038
-
t(a)0.71789
-
p(a)0.23988
-
Lowerbound of 95% confidence interval for beta0.59207
-
Upperbound of 95% confidence interval for beta1.95635
-
Lowerbound of 95% confidence interval for alpha-0.23773
-
Upperbound of 95% confidence interval for alpha0.49132
-
Treynor index (mean / b)0.24123
-
Jensen alpha (a)0.12679
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.11555
-
Expected Shortfall on VaR0.14780
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.04610
-
Expected Shortfall on VaR0.08978
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations26.00000
-
Minimum0.82718
-
Quartile 10.96430
-
Median1.02647
-
Quartile 31.09632
-
Maximum1.28815
-
Mean of quarter 10.93662
-
Mean of quarter 20.98718
-
Mean of quarter 31.05103
-
Mean of quarter 41.15095
-
Inter Quartile Range0.13202
-
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 one-period unit investment (based on Ex
-
Extreme Value Index (moments method)0.52352
-
VaR(95%) (moments method)0.07620
-
Expected Shortfall (moments method)0.15506
-
Extreme Value Index (regression method)0.70937
-
VaR(95%) (regression method)0.06144
-
Expected Shortfall (regression method)0.14924
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations6.00000
-
Minimum0.04571
-
Quartile 10.06461
-
Median0.08016
-
Quartile 30.08152
-
Maximum0.17282
-
Mean of quarter 10.05262
-
Mean of quarter 20.07985
-
Mean of quarter 30.08048
-
Mean of quarter 40.12734
-
Inter Quartile Range0.01691
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high1.00000
-
Percentage of outliers high0.16667
-
Mean of outliers high0.17282
- 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)0.49281
-
Compounded annual return (geometric extrapolation)0.39835
-
Calmar ratio (compounded annual return / max draw down)2.30498
-
Compounded annual return / average of 25% largest draw downs3.12812
-
Compounded annual return / Expected Shortfall lognormal2.69518
-
0.00000
-
0.00000
- Analysis based on DAILY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean0.30937
-
SD0.31333
-
Sharpe ratio (Glass type estimate)0.98736
-
Sharpe ratio (Hedges UMVUE)0.98609
-
df582.00000
-
t1.47285
-
p0.07067
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.32815
-
Upperbound of 95% confidence interval for Sharpe Ratio2.30211
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.32904
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.30121
- Statistics related to Sortino ratio
-
Sortino ratio1.50141
-
Upside Potential Ratio8.50592
-
Upside part of mean1.75266
-
Downside part of mean-1.44329
-
Upside SD0.23646
-
Downside SD0.20605
-
N nonnegative terms308.00000
-
N negative terms275.00000
- Statistics related to linear regression on benchmark
-
N of observations583.00000
-
Mean of predictor0.16781
-
Mean of criterion0.30937
-
SD of predictor0.15524
-
SD of criterion0.31333
-
Covariance0.02264
-
r0.46547
-
b (slope, estimate of beta)0.93946
-
a (intercept, estimate of alpha)0.15200
-
Mean Square Error0.07704
-
DF error581.00000
-
t(b)12.67670
-
p(b)-0.00000
-
t(a)0.81359
-
p(a)0.20811
-
Lowerbound of 95% confidence interval for beta0.79390
-
Upperbound of 95% confidence interval for beta1.08501
-
Lowerbound of 95% confidence interval for alpha-0.21454
-
Upperbound of 95% confidence interval for alpha0.51797
-
Treynor index (mean / b)0.32931
-
Jensen alpha (a)0.15172
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean0.26048
-
SD0.31201
-
Sharpe ratio (Glass type estimate)0.83486
-
Sharpe ratio (Hedges UMVUE)0.83379
-
df582.00000
-
t1.24537
-
p0.10675
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.48024
-
Upperbound of 95% confidence interval for Sharpe Ratio2.14932
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.48099
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.14857
- Statistics related to Sortino ratio
-
Sortino ratio1.23461
-
Upside Potential Ratio8.17840
-
Upside part of mean1.72553
-
Downside part of mean-1.46504
-
Upside SD0.23006
-
Downside SD0.21099
-
N nonnegative terms308.00000
-
N negative terms275.00000
- Statistics related to linear regression on benchmark
-
N of observations583.00000
-
Mean of predictor0.15575
-
Mean of criterion0.26048
-
SD of predictor0.15494
-
SD of criterion0.31201
-
Covariance0.02265
-
r0.46856
-
b (slope, estimate of beta)0.94356
-
a (intercept, estimate of alpha)0.11353
-
Mean Square Error0.07611
-
DF error581.00000
-
t(b)12.78440
-
p(b)-0.00000
-
t(a)0.61268
-
p(a)0.27016
-
Lowerbound of 95% confidence interval for beta0.79860
-
Upperbound of 95% confidence interval for beta1.08851
-
Lowerbound of 95% confidence interval for alpha-0.25040
-
Upperbound of 95% confidence interval for alpha0.47746
-
Treynor index (mean / b)0.27607
-
Jensen alpha (a)0.11353
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.03025
-
Expected Shortfall on VaR0.03800
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.01208
-
Expected Shortfall on VaR0.02515
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations583.00000
-
Minimum0.90687
-
Quartile 10.99400
-
Median1.00067
-
Quartile 31.00753
-
Maximum1.14213
-
Mean of quarter 10.98010
-
Mean of quarter 20.99814
-
Mean of quarter 31.00374
-
Mean of quarter 41.02318
-
Inter Quartile Range0.01353
-
Number outliers low36.00000
-
Percentage of outliers low0.06175
-
Mean of outliers low0.95851
-
Number of outliers high39.00000
-
Percentage of outliers high0.06690
-
Mean of outliers high1.04521
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)0.38955
-
VaR(95%) (moments method)0.01898
-
Expected Shortfall (moments method)0.03680
-
Extreme Value Index (regression method)0.20674
-
VaR(95%) (regression method)0.01828
-
Expected Shortfall (regression method)0.02959
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations22.00000
-
Minimum0.00454
-
Quartile 10.01552
-
Median0.03329
-
Quartile 30.07415
-
Maximum0.24782
-
Mean of quarter 10.00843
-
Mean of quarter 20.02476
-
Mean of quarter 30.04921
-
Mean of quarter 40.15926
-
Inter Quartile Range0.05863
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high3.00000
-
Percentage of outliers high0.13636
-
Mean of outliers high0.21313
- Risk estimates based on draw downs (based on Extreme Value T
-
Extreme Value Index (moments method)-2.10323
-
VaR(95%) (moments method)0.16153
-
Expected Shortfall (moments method)0.16403
-
Extreme Value Index (regression method)-0.88519
-
VaR(95%) (regression method)0.23345
-
Expected Shortfall (regression method)0.25571
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)0.40435
-
Compounded annual return (geometric extrapolation)0.33428
-
Calmar ratio (compounded annual return / max draw down)1.34887
-
Compounded annual return / average of 25% largest draw downs2.09901
-
Compounded annual return / Expected Shortfall lognormal8.79680
-
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-0.33268
-
SD0.20641
-
Sharpe ratio (Glass type estimate)-1.61179
-
Sharpe ratio (Hedges UMVUE)-1.60247
-
df130.00000
-
t-1.13970
-
p0.54973
-
Lowerbound of 95% confidence interval for Sharpe Ratio-4.38749
-
Upperbound of 95% confidence interval for Sharpe Ratio1.16996
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-4.38111
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.17617
- Statistics related to Sortino ratio
-
Sortino ratio-1.83189
-
Upside Potential Ratio4.50015
-
Upside part of mean0.81726
-
Downside part of mean-1.14994
-
Upside SD0.09859
-
Downside SD0.18161
-
N nonnegative terms73.00000
-
N negative terms58.00000
- Statistics related to linear regression on benchmark
-
N of observations131.00000
-
Mean of predictor0.23133
-
Mean of criterion-0.33268
-
SD of predictor0.13518
-
SD of criterion0.20641
-
Covariance0.01579
-
r0.56582
-
b (slope, estimate of beta)0.86393
-
a (intercept, estimate of alpha)-0.53254
-
Mean Square Error0.02919
-
DF error129.00000
-
t(b)7.79416
-
p(b)0.16006
-
t(a)-2.19178
-
p(a)0.61990
-
Lowerbound of 95% confidence interval for beta0.64463
-
Upperbound of 95% confidence interval for beta1.08324
-
Lowerbound of 95% confidence interval for alpha-1.01326
-
Upperbound of 95% confidence interval for alpha-0.05181
-
Treynor index (mean / b)-0.38508
-
Jensen alpha (a)-0.53254
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean-0.35449
-
SD0.20990
-
Sharpe ratio (Glass type estimate)-1.68883
-
Sharpe ratio (Hedges UMVUE)-1.67907
-
df130.00000
-
t-1.19418
-
p0.55208
-
Lowerbound of 95% confidence interval for Sharpe Ratio-4.46508
-
Upperbound of 95% confidence interval for Sharpe Ratio1.09372
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-4.45838
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.10024
- Statistics related to Sortino ratio
-
Sortino ratio-1.90418
-
Upside Potential Ratio4.36371
-
Upside part of mean0.81237
-
Downside part of mean-1.16686
-
Upside SD0.09770
-
Downside SD0.18616
-
N nonnegative terms73.00000
-
N negative terms58.00000
- Statistics related to linear regression on benchmark
-
N of observations131.00000
-
Mean of predictor0.22212
-
Mean of criterion-0.35449
-
SD of predictor0.13537
-
SD of criterion0.20990
-
Covariance0.01600
-
r0.56309
-
b (slope, estimate of beta)0.87315
-
a (intercept, estimate of alpha)-0.54844
-
Mean Square Error0.03032
-
DF error129.00000
-
t(b)7.73891
-
p(b)0.16149
-
t(a)-2.21559
-
p(a)0.62114
-
VAR (95 Confidence Intrvl)0.03000
-
Lowerbound of 95% confidence interval for beta0.64992
-
Upperbound of 95% confidence interval for beta1.09637
-
Lowerbound of 95% confidence interval for alpha-1.03820
-
Upperbound of 95% confidence interval for alpha-0.05868
-
Treynor index (mean / b)-0.40599
-
Jensen alpha (a)-0.54844
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.02243
-
Expected Shortfall on VaR0.02770
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.00913
-
Expected Shortfall on VaR0.01986
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations131.00000
-
Minimum0.92118
-
Quartile 10.99571
-
Median1.00094
-
Quartile 31.00384
-
Maximum1.03010
-
Mean of quarter 10.98379
-
Mean of quarter 20.99911
-
Mean of quarter 31.00238
-
Mean of quarter 41.01017
-
Inter Quartile Range0.00814
-
Number outliers low10.00000
-
Percentage of outliers low0.07634
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Mean of outliers low0.96632
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Number of outliers high3.00000
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Percentage of outliers high0.02290
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Mean of outliers high1.02555
- Risk estimates for a one-period unit investment (based on Ex
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Extreme Value Index (moments method)0.44890
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VaR(95%) (moments method)0.01492
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Expected Shortfall (moments method)0.03182
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Extreme Value Index (regression method)0.33229
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VaR(95%) (regression method)0.01405
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Expected Shortfall (regression method)0.02570
- DRAW DOWN STATISTICS
- Quartiles of draw downs
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Number of observations3.00000
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Minimum0.05720
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Quartile 10.06672
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Median0.07624
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Quartile 30.12672
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Maximum0.17720
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Mean of quarter 10.05720
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Mean of quarter 20.07624
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Mean of quarter 30.00000
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Mean of quarter 40.17720
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Inter Quartile Range0.06000
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Number outliers low0.00000
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Percentage of outliers low0.00000
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Mean of outliers low0.00000
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Number of outliers high0.00000
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Percentage of outliers high0.00000
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Mean of outliers high0.00000
- Risk estimates based on draw downs (based on Extreme Value T
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Extreme Value Index (moments method)0.00000
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VaR(95%) (moments method)0.00000
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Expected Shortfall (moments method)0.00000
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Extreme Value Index (regression method)0.00000
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VaR(95%) (regression method)0.00000
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Last 4 Months - Pcnt Negative0.75%
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Expected Shortfall (regression method)0.00000
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Strat Max DD how much worse than SP500 max DD during strat life?-332360000
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Max Equity Drawdown (num days)42
- COMBINED STATISTICS
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Annualized return (arithmetic extrapolation)-0.30131
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Compounded annual return (geometric extrapolation)-0.27862
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Calmar ratio (compounded annual return / max draw down)-1.57231
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Compounded annual return / average of 25% largest draw downs-1.57231
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Compounded annual return / Expected Shortfall lognormal-10.05850
Strategy Description
I position trade only TQQQ. I go into cash when NDX is in a downtrend and during the uptrend, I hold anywhere between 1-100% of my portfolio in TQQQ. The position size of TQQQ depends on how extended NDX is. Here are some characteristics of my system.
1) I am a 100% long only systematic trader, meaning the entries, exits, position size, stop losses etc are all determined by predefined set of rules that make up system/model. This does not need any input from me or anybody else. This is purely based on price and no macro/fundamentals.
2) My system is EOD based. It only makes one decision towards the end of the trading day(15 minutes before market closes). It determines how much TQQQ that my portfolio should be holding at that moment. My system has an average of 1 trade per week and the number of trades per month are roughly 4-5 trades. So it does not produce too many trades and that's nice as it needs less time to execute.
3) I use MovingAverages(20 and 250) to determine the trend and use how far the price is from those MAs to determine how extended NDX. Based on that, my system determines how much TQQQ I should be holding.
4) I also use Bollinger Bands to determine if NDX is in a momentum phase so that I can use a heavier position size during that momentum phase to reap more gains.
5) I backtested my strategy over 40 years of NDX and used a synthetic TQQQ in back tests as TQQQ was created in 2010.
6) My backtested CAGR is around 42% with max drawdown of 54%. Past performance does not guarantee future results. I have been running this strategy at Collective2 and you can see the live performance of my strategy here.
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
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