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These are hypothetical performance results that have certain inherent limitations. Learn more

Trades-Own-Strategy Certification

This system has earned Trades-Own-Strategy (TOS) Certification. This means that the manager of this system trades his own strategy in a real-life, funded brokerage account.

Trades-Own-Strategy (TOS) Certification Details
Certification process started 10/07/2020
Most recent certification approved 10/7/20 15:58 ET
Trades at broker Interactive Brokers (Server 3)
Scaling percentage used 100%
# trading signals issued by system since certification 409
# trading signals executed in manager's Interactive Brokers (Server 3) account 409
Percent signals followed since 10/07/2020 100%
This information was last updated 3/28/24 5:39 ET

Warning: System trading results are still hypothetical.

Even though the system developer is currently trading his own system in a real-life brokerage account, the trading results presented on this Web site must still be regarded as purely hypothetical results. This is because (among other reasons) the system developer may not have traded all signals, particularly those that occurred before 10/07/2020, and the system developer's results may not match the system results presented here. In addition, not all subscribers have received the same trades or prices as the system manager has. For these reasons, and others, it is extremely important you remember the following:

About the results you see on this Web site

Past results are not necessarily indicative of future results.

These results are based on simulated or hypothetical performance results. Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program.

One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.

You may be interested to learn more technical details about how Collective2 calculates the hypothetical results you see on this web site.

AI TQQQ only swing
(131561344)

Created by: QuantTiger QuantTiger
Started: 10/2020
Stocks
Last trade: 3 days ago

Subscriptions not available

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

Subscription terms. Subscriptions to this system cost $120.00 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.

45.8%
Annual Return (Compounded)

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.

(51.0%)
Max Drawdown
197
Num Trades
51.3%
Win Trades
1.4 : 1
Profit Factor
61.9%
Win Months
Hypothetical Monthly Returns (includes system fee and Typical Broker commissions and fees)
 JanFebMarAprMayJunJulAugSepOctNovDecYTD
2020                                                               +0.6%+36.2%+11.5%+52.8%
2021(0.2%)+6.0%+7.9%+7.1%+14.7%+10.3%+1.8%+12.1%(20%)+21.2%+7.9%(6.2%)+73.1%
2022(9.2%)(21.9%)+15.2%(5%)+3.0%(18.4%)+25.7%(6.5%)(18.6%)(1.6%)+2.5%(1.3%)(38%)
2023+20.6%(2.7%)+13.1%(13.3%)+32.3%+13.7%+14.9%+8.3%(17.3%)(11.2%)+14.0%+15.3%+108.1%
2024+2.9%+9.8%(3.6%)                                                      +8.8%

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.

System developer has asked us to delay this information by 36 hours.

Trading Record

This strategy has placed 409 trades in real-life brokerage accounts. To see live brokerage data, select Show AutoTrade Data, and click on a Live AutoTrade Indicator symbol.

Download CSV
Long
Short
Both
Win
Loss
Both
Opened Date/TimeSymbolDescriptionSideQtyAvg PriceClosed Date/TimeAvg PriceDrawdownP/L
3/11/24 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 455 59.36 3/12 9:47 59.04 0.66%
Trade id #147595786
Max drawdown($179)
Time3/12/24 9:46
Quant open455
Worst price58.96
Drawdown as % of equity-0.66%
($152)
Includes Typical Broker Commissions trade costs of $9.10
3/4/24 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 462 62.41 3/5 15:14 58.17 7.25%
Trade id #147532355
Max drawdown($1,986)
Time3/5/24 15:14
Quant open462
Worst price58.11
Drawdown as % of equity-7.25%
($1,967)
Includes Typical Broker Commissions trade costs of $9.24
2/29/24 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 461 60.77 3/1 15:58 63.16 0.7%
Trade id #147505685
Max drawdown($196)
Time2/29/24 16:00
Quant open461
Worst price60.34
Drawdown as % of equity-0.70%
$1,096
Includes Typical Broker Commissions trade costs of $9.22
2/21/24 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 473 55.34 2/28 15:58 58.92 n/a $1,686
Includes Typical Broker Commissions trade costs of $9.46
2/15/24 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 455 59.01 2/16 15:58 57.39 3.15%
Trade id #147349486
Max drawdown($862)
Time2/16/24 10:01
Quant open455
Worst price57.11
Drawdown as % of equity-3.15%
($742)
Includes Typical Broker Commissions trade costs of $9.10
2/1/24 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 445 54.38 2/14 15:58 58.64 n/a $1,889
Includes Typical Broker Commissions trade costs of $8.90
1/29/24 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 447 57.10 1/30 15:59 55.99 2.63%
Trade id #147153030
Max drawdown($670)
Time1/30/24 14:11
Quant open447
Worst price55.60
Drawdown as % of equity-2.63%
($504)
Includes Typical Broker Commissions trade costs of $8.94
1/24/24 15:39 TQQQ PROSHARES ULTRAPRO QQQ LONG 459 56.55 1/26 15:59 55.44 2.42%
Trade id #147119342
Max drawdown($628)
Time1/26/24 13:54
Quant open459
Worst price55.18
Drawdown as % of equity-2.42%
($520)
Includes Typical Broker Commissions trade costs of $9.18
1/24/24 15:08: Rescaled downward to 29% of previous Model Account size
1/18/24 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 464.580000000 51.61 1/24 15:07 56.82 n/a $2,409
Includes Typical Broker Commissions trade costs of $9.30
1/11/24 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 481.690000000 50.36 1/16 15:59 50.30 0.59%
Trade id #146980249
Max drawdown($143)
Time1/16/24 9:51
Quant open140
Worst price49.33
Drawdown as % of equity-0.59%
($40)
Includes Typical Broker Commissions trade costs of $9.64
1/2/24 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 481.690000000 48.16 1/8 15:59 48.87 1.61%
Trade id #146879828
Max drawdown($375)
Time1/5/24 0:00
Quant open140
Worst price45.47
Drawdown as % of equity-1.61%
$333
Includes Typical Broker Commissions trade costs of $9.64
12/22/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 488.360000000 50.32 1/2/24 9:38 48.81 0.88%
Trade id #146793583
Max drawdown($222)
Time1/2/24 9:38
Quant open142
Worst price48.74
Drawdown as % of equity-0.88%
($744)
Includes Typical Broker Commissions trade costs of $9.76
12/15/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 486.040000000 49.39 12/21 15:59 50.18 0.52%
Trade id #146717881
Max drawdown($131)
Time12/20/23 0:00
Quant open141
Worst price48.46
Drawdown as % of equity-0.52%
$375
Includes Typical Broker Commissions trade costs of $9.72
12/6/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 497.350000000 42.45 12/14 13:52 47.61 n/a $2,557
Includes Typical Broker Commissions trade costs of $9.94
12/4/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 489.520000000 42.98 12/5 15:59 43.21 0.46%
Trade id #146609475
Max drawdown($101)
Time12/5/23 9:32
Quant open142
Worst price42.26
Drawdown as % of equity-0.46%
$103
Includes Typical Broker Commissions trade costs of $9.80
11/29/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 489.810000000 44.18 11/30 11:56 42.94 0.81%
Trade id #146570179
Max drawdown($179)
Time11/30/23 11:56
Quant open142
Worst price42.92
Drawdown as % of equity-0.81%
($616)
Includes Typical Broker Commissions trade costs of $9.80
11/15/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 489.230000000 43.05 11/28 15:59 44.42 0.46%
Trade id #146454017
Max drawdown($102)
Time11/16/23 0:00
Quant open142
Worst price42.33
Drawdown as % of equity-0.46%
$662
Includes Typical Broker Commissions trade costs of $9.78
11/13/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 491.840000000 40.37 11/14 15:59 42.88 n/a $1,226
Includes Typical Broker Commissions trade costs of $9.84
11/9/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 490.390000000 38.19 11/10 15:59 40.74 n/a $1,241
Includes Typical Broker Commissions trade costs of $9.80
11/3/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 466.320000000 37.60 11/6 15:59 38.00 0.19%
Trade id #146331744
Max drawdown($37)
Time11/6/23 13:22
Quant open135
Worst price37.32
Drawdown as % of equity-0.19%
$179
Includes Typical Broker Commissions trade costs of $9.32
10/27/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 573.620000000 31.20 10/30 15:59 32.34 n/a $651
Includes Typical Broker Commissions trade costs of $5.00
10/26/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 573.910000000 30.91 10/27 13:21 31.16 n/a $138
Includes Typical Broker Commissions trade costs of $5.00
10/25/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 562.600000000 32.73 10/26 10:25 31.39 1.21%
Trade id #146236569
Max drawdown($224)
Time10/26/23 10:24
Quant open163
Worst price31.35
Drawdown as % of equity-1.21%
($758)
Includes Typical Broker Commissions trade costs of $5.00
10/20/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 533.890000000 34.13 10/24 12:47 34.41 0.41%
Trade id #146191969
Max drawdown($77)
Time10/23/23 0:00
Quant open155
Worst price33.63
Drawdown as % of equity-0.41%
$147
Includes Typical Broker Commissions trade costs of $5.00
10/19/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 528.670000000 35.78 10/20 10:47 34.49 1.03%
Trade id #146179469
Max drawdown($200)
Time10/20/23 10:47
Quant open153
Worst price34.47
Drawdown as % of equity-1.03%
($684)
Includes Typical Broker Commissions trade costs of $5.00
10/18/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 521.710000000 36.69 10/19 12:36 36.16 0.51%
Trade id #146166571
Max drawdown($103)
Time10/19/23 12:35
Quant open151
Worst price36.01
Drawdown as % of equity-0.51%
($283)
Includes Typical Broker Commissions trade costs of $5.00
10/17/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 515.910000000 38.28 10/18 14:48 37.03 1.4%
Trade id #146155463
Max drawdown($292)
Time10/18/23 0:00
Quant open150
Worst price36.33
Drawdown as % of equity-1.40%
($651)
Includes Typical Broker Commissions trade costs of $5.00
10/13/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 494.160000000 37.35 10/17 15:08 38.06 0.34%
Trade id #146127323
Max drawdown($71)
Time10/17/23 9:53
Quant open143
Worst price36.85
Drawdown as % of equity-0.34%
$342
Includes Typical Broker Commissions trade costs of $9.88
10/12/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 490.100000000 38.87 10/13 11:27 37.62 0.86%
Trade id #146115649
Max drawdown($178)
Time10/13/23 11:27
Quant open142
Worst price37.61
Drawdown as % of equity-0.86%
($622)
Includes Typical Broker Commissions trade costs of $9.80
10/10/23 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 522.870000000 38.52 10/12 14:09 38.29 0.18%
Trade id #146093147
Max drawdown($37)
Time10/12/23 14:09
Quant open152
Worst price38.27
Drawdown as % of equity-0.18%
($124)
Includes Typical Broker Commissions trade costs of $5.00

Statistics

  • Strategy began
    10/7/2020
  • Suggested Minimum Cap
    $15,000
  • Strategy Age (days)
    1267.79
  • Age
    42 months ago
  • What it trades
    Stocks
  • # Trades
    197
  • # Profitable
    101
  • % Profitable
    51.30%
  • Avg trade duration
    4.5 days
  • Max peak-to-valley drawdown
    50.97%
  • drawdown period
    Nov 22, 2021 - Nov 04, 2022
  • Annual Return (Compounded)
    45.8%
  • Avg win
    $832.05
  • Avg loss
    $639.92
  • Model Account Values (Raw)
  • Cash
    $10,139
  • Margin Used
    $0
  • Buying Power
    $10,106
  • Ratios
  • W:L ratio
    1.37:1
  • Sharpe Ratio
    0.95
  • Sortino Ratio
    1.46
  • Calmar Ratio
    1.167
  • CORRELATION STATISTICS
  • Return of Strat Pcnt - Return of SP500 Pcnt (cumu)
    217.72%
  • Correlation to SP500
    0.47350
  • Return Percent SP500 (cumu) during strategy life
    53.49%
  • Return Statistics
  • Ann Return (w trading costs)
    45.8%
  • Slump
  • Current Slump as Pcnt Equity
    8.90%
  • Instruments
  • Percent Trades Futures
    n/a
  • Slump
  • Current Slump, time of slump as pcnt of strategy life
    0.02%
  • Instruments
  • Short Options - Percent Covered
    100.00%
  • Return Statistics
  • Return Pcnt (Compound or Annual, age-based, NFA compliant)
    0.458%
  • Instruments
  • Percent Trades Options
    n/a
  • Percent Trades Stocks
    1.00%
  • Percent Trades Forex
    n/a
  • Return Statistics
  • Ann Return (Compnd, No Fees)
    50.5%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
    59.00%
  • Chance of 20% account loss
    23.00%
  • Chance of 30% account loss
    12.00%
  • Chance of 40% account loss
    3.00%
  • Chance of 60% account loss (Monte Carlo)
    n/a
  • Chance of 70% account loss (Monte Carlo)
    n/a
  • Chance of 80% account loss (Monte Carlo)
    n/a
  • Chance of 90% account loss (Monte Carlo)
    n/a
  • Automation
  • Percentage Signals Automated
    n/a
  • Risk of Ruin (Monte-Carlo)
  • Chance of 50% account loss
    1.00%
  • Popularity
  • Popularity (Today)
    572
  • Popularity (Last 6 weeks)
    942
  • Trading Style
  • Any stock shorts? 0/1
    0
  • Popularity
  • C2 Score
    958
  • Popularity (7 days, Percentile 1000 scale)
    862
  • Trades-Own-System Certification
  • Trades Own System?
    Yes
  • TOS percent
    100%
  • Win / Loss
  • Avg Loss
    $640
  • Avg Win
    $832
  • Sum Trade PL (losers)
    $61,432.000
  • Age
  • Num Months filled monthly returns table
    42
  • Win / Loss
  • Sum Trade PL (winners)
    $84,037.000
  • # Winners
    101
  • Num Months Winners
    26
  • Dividends
  • Dividends Received in Model Acct
    190
  • AUM
  • AUM (AutoTrader live capital)
    203593
  • Win / Loss
  • # Losers
    96
  • % Winners
    51.3%
  • Frequency
  • Avg Position Time (mins)
    6440.82
  • Avg Position Time (hrs)
    107.35
  • Avg Trade Length
    4.5 days
  • Last Trade Ago
    2
  • Leverage
  • Daily leverage (average)
    2.67
  • Daily leverage (max)
    4.41
  • Regression
  • Alpha
    0.08
  • Beta
    1.05
  • Treynor Index
    0.11
  • Maximum Adverse Excursion (MAE)
  • MAE:Equity, average, all trades
    0.01
  • MAE:PL - worst single value for strategy
    -
  • MAE:PL (avg, winning trades)
    -
  • MAE:PL (avg, losing trades)
    -
  • MAE:PL (avg, all trades)
    -0.06
  • MAE:Equity, average, winning trades
    0.01
  • MAE:Equity, average, losing trades
    0.02
  • Avg(MAE) / Avg(PL) - All trades
    -3.344
  • 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 strat
    0.02
  • Avg(MAE) / Avg(PL) - Winning trades
    0.147
  • Avg(MAE) / Avg(PL) - Losing trades
    -0.384
  • Hold-and-Hope Ratio
    -0.282
  • Analysis based on MONTHLY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.51928
  • SD
    0.50842
  • Sharpe ratio (Glass type estimate)
    1.02134
  • Sharpe ratio (Hedges UMVUE)
    1.00205
  • df
    40.00000
  • t
    1.88787
  • p
    0.03316
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.06831
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.09881
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.08079
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.08489
  • Statistics related to Sortino ratio
  • Sortino ratio
    1.87340
  • Upside Potential Ratio
    3.54176
  • Upside part of mean
    0.98172
  • Downside part of mean
    -0.46244
  • Upside SD
    0.44478
  • Downside SD
    0.27718
  • N nonnegative terms
    27.00000
  • N negative terms
    14.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    41.00000
  • Mean of predictor
    0.10795
  • Mean of criterion
    0.51928
  • SD of predictor
    0.16802
  • SD of criterion
    0.50842
  • Covariance
    0.05775
  • r
    0.67602
  • b (slope, estimate of beta)
    2.04562
  • a (intercept, estimate of alpha)
    0.29845
  • Mean Square Error
    0.14396
  • DF error
    39.00000
  • t(b)
    5.72919
  • p(b)
    0.00000
  • t(a)
    1.42899
  • p(a)
    0.08048
  • Lowerbound of 95% confidence interval for beta
    1.32341
  • Upperbound of 95% confidence interval for beta
    2.76783
  • Lowerbound of 95% confidence interval for alpha
    -0.12400
  • Upperbound of 95% confidence interval for alpha
    0.72090
  • Treynor index (mean / b)
    0.25385
  • Jensen alpha (a)
    0.29845
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.38890
  • SD
    0.49636
  • Sharpe ratio (Glass type estimate)
    0.78351
  • Sharpe ratio (Hedges UMVUE)
    0.76871
  • df
    40.00000
  • t
    1.44826
  • p
    0.07767
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.29528
  • Upperbound of 95% confidence interval for Sharpe Ratio
    1.85282
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.30493
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.84235
  • Statistics related to Sortino ratio
  • Sortino ratio
    1.26621
  • Upside Potential Ratio
    2.91152
  • Upside part of mean
    0.89424
  • Downside part of mean
    -0.50533
  • Upside SD
    0.39829
  • Downside SD
    0.30714
  • N nonnegative terms
    27.00000
  • N negative terms
    14.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    41.00000
  • Mean of predictor
    0.09357
  • Mean of criterion
    0.38890
  • SD of predictor
    0.16789
  • SD of criterion
    0.49636
  • Covariance
    0.05709
  • r
    0.68504
  • b (slope, estimate of beta)
    2.02534
  • a (intercept, estimate of alpha)
    0.19939
  • Mean Square Error
    0.13411
  • DF error
    39.00000
  • t(b)
    5.87241
  • p(b)
    0.00000
  • t(a)
    0.99335
  • p(a)
    0.16333
  • Lowerbound of 95% confidence interval for beta
    1.32773
  • Upperbound of 95% confidence interval for beta
    2.72294
  • Lowerbound of 95% confidence interval for alpha
    -0.20662
  • Upperbound of 95% confidence interval for alpha
    0.60541
  • Treynor index (mean / b)
    0.19202
  • Jensen alpha (a)
    0.19939
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.18395
  • Expected Shortfall on VaR
    0.23031
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.06867
  • Expected Shortfall on VaR
    0.14401
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    41.00000
  • Minimum
    0.76091
  • Quartile 1
    0.95162
  • Median
    1.03618
  • Quartile 3
    1.13735
  • Maximum
    1.34066
  • Mean of quarter 1
    0.86363
  • Mean of quarter 2
    1.00834
  • Mean of quarter 3
    1.09310
  • Mean of quarter 4
    1.23554
  • Inter Quartile Range
    0.18572
  • 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)
    -0.13945
  • VaR(95%) (moments method)
    0.12449
  • Expected Shortfall (moments method)
    0.16216
  • Extreme Value Index (regression method)
    -0.10730
  • VaR(95%) (regression method)
    0.10865
  • Expected Shortfall (regression method)
    0.13868
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    5.00000
  • Minimum
    0.01017
  • Quartile 1
    0.05999
  • Median
    0.15305
  • Quartile 3
    0.20517
  • Maximum
    0.37344
  • Mean of quarter 1
    0.03508
  • Mean of quarter 2
    0.15305
  • Mean of quarter 3
    0.20517
  • Mean of quarter 4
    0.37344
  • Inter Quartile Range
    0.14518
  • 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)
    0.92315
  • Compounded annual return (geometric extrapolation)
    0.51711
  • Calmar ratio (compounded annual return / max draw down)
    1.38474
  • Compounded annual return / average of 25% largest draw downs
    1.38474
  • Compounded annual return / Expected Shortfall lognormal
    2.24528
  • 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
    0.44868
  • SD
    0.35526
  • Sharpe ratio (Glass type estimate)
    1.26298
  • Sharpe ratio (Hedges UMVUE)
    1.26193
  • df
    901.00000
  • t
    2.34341
  • p
    0.00966
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.20473
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.32056
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.20400
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.31985
  • Statistics related to Sortino ratio
  • Sortino ratio
    1.93217
  • Upside Potential Ratio
    9.48500
  • Upside part of mean
    2.20258
  • Downside part of mean
    -1.75390
  • Upside SD
    0.27002
  • Downside SD
    0.23222
  • N nonnegative terms
    433.00000
  • N negative terms
    469.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    902.00000
  • Mean of predictor
    0.11130
  • Mean of criterion
    0.44868
  • SD of predictor
    0.17159
  • SD of criterion
    0.35526
  • Covariance
    0.02836
  • r
    0.46516
  • b (slope, estimate of beta)
    0.96305
  • a (intercept, estimate of alpha)
    0.34100
  • Mean Square Error
    0.09901
  • DF error
    900.00000
  • t(b)
    15.76420
  • p(b)
    0.00000
  • t(a)
    2.01213
  • p(a)
    0.02225
  • Lowerbound of 95% confidence interval for beta
    0.84316
  • Upperbound of 95% confidence interval for beta
    1.08295
  • Lowerbound of 95% confidence interval for alpha
    0.00840
  • Upperbound of 95% confidence interval for alpha
    0.67459
  • Treynor index (mean / b)
    0.46590
  • Jensen alpha (a)
    0.34150
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.38544
  • SD
    0.35472
  • Sharpe ratio (Glass type estimate)
    1.08658
  • Sharpe ratio (Hedges UMVUE)
    1.08568
  • df
    901.00000
  • t
    2.01612
  • p
    0.02204
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.02879
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.14381
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.02817
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.14319
  • Statistics related to Sortino ratio
  • Sortino ratio
    1.62069
  • Upside Potential Ratio
    9.11174
  • Upside part of mean
    2.16697
  • Downside part of mean
    -1.78154
  • Upside SD
    0.26400
  • Downside SD
    0.23782
  • N nonnegative terms
    433.00000
  • N negative terms
    469.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    902.00000
  • Mean of predictor
    0.09655
  • Mean of criterion
    0.38544
  • SD of predictor
    0.17171
  • SD of criterion
    0.35472
  • Covariance
    0.02835
  • r
    0.46542
  • b (slope, estimate of beta)
    0.96148
  • a (intercept, estimate of alpha)
    0.29261
  • Mean Square Error
    0.09868
  • DF error
    900.00000
  • t(b)
    15.77560
  • p(b)
    0.00000
  • t(a)
    1.72727
  • p(a)
    0.04223
  • Lowerbound of 95% confidence interval for beta
    0.84186
  • Upperbound of 95% confidence interval for beta
    1.08109
  • Lowerbound of 95% confidence interval for alpha
    -0.03987
  • Upperbound of 95% confidence interval for alpha
    0.62508
  • Treynor index (mean / b)
    0.40088
  • Jensen alpha (a)
    0.29261
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.03398
  • Expected Shortfall on VaR
    0.04276
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.01575
  • Expected Shortfall on VaR
    0.03133
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    902.00000
  • Minimum
    0.88370
  • Quartile 1
    0.99107
  • Median
    1.00000
  • Quartile 3
    1.01211
  • Maximum
    1.11497
  • Mean of quarter 1
    0.97592
  • Mean of quarter 2
    0.99758
  • Mean of quarter 3
    1.00479
  • Mean of quarter 4
    1.02899
  • Inter Quartile Range
    0.02104
  • Number outliers low
    25.00000
  • Percentage of outliers low
    0.02772
  • Mean of outliers low
    0.94399
  • Number of outliers high
    35.00000
  • Percentage of outliers high
    0.03880
  • Mean of outliers high
    1.05727
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    -0.00874
  • VaR(95%) (moments method)
    0.02118
  • Expected Shortfall (moments method)
    0.02867
  • Extreme Value Index (regression method)
    0.00793
  • VaR(95%) (regression method)
    0.02319
  • Expected Shortfall (regression method)
    0.03217
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    39.00000
  • Minimum
    0.00037
  • Quartile 1
    0.00878
  • Median
    0.03014
  • Quartile 3
    0.07063
  • Maximum
    0.43846
  • Mean of quarter 1
    0.00406
  • Mean of quarter 2
    0.01970
  • Mean of quarter 3
    0.05635
  • Mean of quarter 4
    0.17110
  • Inter Quartile Range
    0.06184
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    4.00000
  • Percentage of outliers high
    0.10256
  • Mean of outliers high
    0.27313
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    0.08361
  • VaR(95%) (moments method)
    0.16386
  • Expected Shortfall (moments method)
    0.23437
  • Extreme Value Index (regression method)
    0.49150
  • VaR(95%) (regression method)
    0.19448
  • Expected Shortfall (regression method)
    0.41263
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    0.91487
  • Compounded annual return (geometric extrapolation)
    0.51186
  • Calmar ratio (compounded annual return / max draw down)
    1.16740
  • Compounded annual return / average of 25% largest draw downs
    2.99166
  • Compounded annual return / Expected Shortfall lognormal
    11.97100
  • 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
    0.43094
  • SD
    0.25959
  • Sharpe ratio (Glass type estimate)
    1.66004
  • Sharpe ratio (Hedges UMVUE)
    1.65044
  • df
    130.00000
  • t
    1.17382
  • p
    0.44879
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -1.12225
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.43604
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -1.12861
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.42950
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.64181
  • Upside Potential Ratio
    10.13160
  • Upside part of mean
    1.65268
  • Downside part of mean
    -1.22174
  • Upside SD
    0.20242
  • Downside SD
    0.16312
  • N nonnegative terms
    63.00000
  • N negative terms
    68.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.36048
  • Mean of criterion
    0.43094
  • SD of predictor
    0.11714
  • SD of criterion
    0.25959
  • Covariance
    0.01632
  • r
    0.53661
  • b (slope, estimate of beta)
    1.18918
  • a (intercept, estimate of alpha)
    0.00226
  • Mean Square Error
    0.04836
  • DF error
    129.00000
  • t(b)
    7.22267
  • p(b)
    0.17557
  • t(a)
    0.00713
  • p(a)
    0.49960
  • Lowerbound of 95% confidence interval for beta
    0.86342
  • Upperbound of 95% confidence interval for beta
    1.51493
  • Lowerbound of 95% confidence interval for alpha
    -0.62414
  • Upperbound of 95% confidence interval for alpha
    0.62866
  • Treynor index (mean / b)
    0.36238
  • Jensen alpha (a)
    0.00226
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.39730
  • SD
    0.25865
  • Sharpe ratio (Glass type estimate)
    1.53609
  • Sharpe ratio (Hedges UMVUE)
    1.52722
  • df
    130.00000
  • t
    1.08618
  • p
    0.45258
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -1.24490
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.31128
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -1.25080
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.30523
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.40051
  • Upside Potential Ratio
    9.86341
  • Upside part of mean
    1.63248
  • Downside part of mean
    -1.23517
  • Upside SD
    0.19899
  • Downside SD
    0.16551
  • N nonnegative terms
    63.00000
  • N negative terms
    68.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.35341
  • Mean of criterion
    0.39730
  • SD of predictor
    0.11700
  • SD of criterion
    0.25865
  • Covariance
    0.01621
  • r
    0.53556
  • b (slope, estimate of beta)
    1.18390
  • a (intercept, estimate of alpha)
    -0.02109
  • Mean Square Error
    0.04808
  • DF error
    129.00000
  • t(b)
    7.20284
  • p(b)
    0.17614
  • t(a)
    -0.06686
  • p(a)
    0.50375
  • VAR (95 Confidence Intrvl)
    0.03400
  • Lowerbound of 95% confidence interval for beta
    0.85870
  • Upperbound of 95% confidence interval for beta
    1.50911
  • Lowerbound of 95% confidence interval for alpha
    -0.64530
  • Upperbound of 95% confidence interval for alpha
    0.60311
  • Treynor index (mean / b)
    0.33559
  • Jensen alpha (a)
    -0.02109
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.02446
  • Expected Shortfall on VaR
    0.03094
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.01095
  • Expected Shortfall on VaR
    0.02187
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    131.00000
  • Minimum
    0.95176
  • Quartile 1
    0.99503
  • Median
    1.00002
  • Quartile 3
    1.00943
  • Maximum
    1.06187
  • Mean of quarter 1
    0.98279
  • Mean of quarter 2
    0.99891
  • Mean of quarter 3
    1.00371
  • Mean of quarter 4
    1.02165
  • Inter Quartile Range
    0.01440
  • Number outliers low
    5.00000
  • Percentage of outliers low
    0.03817
  • Mean of outliers low
    0.96391
  • Number of outliers high
    6.00000
  • Percentage of outliers high
    0.04580
  • Mean of outliers high
    1.04161
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    -0.40964
  • VaR(95%) (moments method)
    0.01445
  • Expected Shortfall (moments method)
    0.01737
  • Extreme Value Index (regression method)
    -0.08488
  • VaR(95%) (regression method)
    0.01655
  • Expected Shortfall (regression method)
    0.02259
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    12.00000
  • Minimum
    0.00007
  • Quartile 1
    0.01488
  • Median
    0.02357
  • Quartile 3
    0.05395
  • Maximum
    0.14725
  • Mean of quarter 1
    0.00518
  • Mean of quarter 2
    0.01938
  • Mean of quarter 3
    0.03637
  • Mean of quarter 4
    0.10072
  • Inter Quartile Range
    0.03908
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    1.00000
  • Percentage of outliers high
    0.08333
  • Mean of outliers high
    0.14725
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    -0.30738
  • VaR(95%) (moments method)
    0.11284
  • Expected Shortfall (moments method)
    0.13475
  • Extreme Value Index (regression method)
    1.32000
  • VaR(95%) (regression method)
    0.14470
  • Last 4 Months - Pcnt Negative
    0.25%
  • Expected Shortfall (regression method)
    0.00000
  • Strat Max DD how much worse than SP500 max DD during strat life?
    -481686000
  • Max Equity Drawdown (num days)
    347
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    0.47379
  • Compounded annual return (geometric extrapolation)
    0.52991
  • Calmar ratio (compounded annual return / max draw down)
    3.59878
  • Compounded annual return / average of 25% largest draw downs
    5.26127
  • Compounded annual return / Expected Shortfall lognormal
    17.12830

Strategy Description

Investment Strategy Overview

This trading strategy is centered around the 3x Long NASDAQ ETF, TQQQ, and sitout in cash when not long (we never go short). This strategy is underpinned by the sophisticated application of machine learning (Artificial Intelligence) techniques and swing/day trading.


Leveraged ETFs and Risk Mitigation

It is imperative to recognize that leveraged ETFs offer the potential for substantial returns but simultaneously carry a heightened degree of risk, attributable to their 3x leverage. Our approach seeks to mitigate this risk by adopting a dynamic stance that involves holding the long ETF during favorable market conditions while holding the inverse ETF during market downturns. This decision-making process is driven by our machine learning algorithms, ensuring a data-driven and disciplined approach.


Risk Management and Capital Allocation

Incorporated into our strategy is a meticulous approach to risk management, wherein position sizing is a pivotal component. It is essential for participants to exercise prudent judgment when scaling their positions to align with their risk tolerance.


Account Requirements and Geographic Considerations

Participants in our strategy should be aware that a margin account is required. We do not employ martingale strategies or margin utilization. In the case of an Individual Retirement Account (IRA), IRA margin is mandatory. Additionally, it's important to note that the ETFs we utilize are not available through Interactive Brokers in Europe.


Account Size and Automation

we recommend a minimum account size of $10,000. Additionally, we highly recommend using Collective2's autotrading to ensure timely execution and adherence to our algorithmic approach. We emphasize that this strategy should only be implemented with funds designated as risk capital, capital that one is prepared to lose entirely if necessary. Our system is entirely algorithmic, devoid of discretionary decision-making.

Summary Statistics

Strategy began
2020-10-07
Suggested Minimum Capital
$15,000
Rank at C2 %
Top 4.2%
Rank # 
#34
# Trades
197
# Profitable
101
% Profitable
51.3%
Net Dividends
Correlation S&P500
0.473
Sharpe Ratio
0.95
Sortino Ratio
1.46
Beta
1.05
Alpha
0.08
Leverage
2.67 Average
4.41 Maximum
Summary
Higher leverage = greater risk.

More information about leverage

Collective2 calculates the maximum leverage used by a strategy in each day. We then display the average of these measurements (i.e. the average daily maximum leverage) and the greatest of these measurements (maximum daily leverage).

Leverage is the ratio of total notional value controlled by a strategy divided by its Model Account equity. Generally higher leverage implies greater risk.

Example of calculation:
The Strategy buys 100 shares of stock at $12 per share.
The Model Account equity during that day is $5,000.
The leverage is: $1200 / $5,000 = 0.24

This is a useful measurement, but it should be considered in context. This measurement doesn't take into account important factors, such as when multiple positions are held that are inversely correlated. Nor does the measurement take into account the volatility of the instruments being held.

In addition, certain asset classes are inherently more leveraged than others. For example, futures contracts are highly leveraged. Forex positions are often even more leveraged than futures.

Latest Activity

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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.