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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 03/27/2020
Most recent certification approved 3/27/20 9:37 ET
Trades at broker Interactive Brokers (server 2 / Stocks, Option, Futures)
Scaling percentage used 100%
# trading signals issued by system since certification 338
# trading signals executed in manager's Interactive Brokers (server 2 / Stocks, Option, Futures) account 338
Percent signals followed since 03/27/2020 100%
This information was last updated 9/18/21 19:18 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 03/27/2020, 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 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.

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

AI TQQQ SQQQ swing
(128265049)

Created by: QuantTiger QuantTiger
Started: 03/2020
Stocks
Last trade: 2 days ago
Trading style: Equity Trend-following Sector: Technology

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.

Trading Category: Equity
Trend-following
Category: Equity

Trend-following

Tries to take advantage of long, medium or short-term moves that seem to play out in various markets. Typically, trend-following analysis is backward looking; that is, it attempts to recognize and profit from already-established trends.
Sector: Technology
Category: Equity

Sector: Technology

Focuses primarily on stocks of technology companies.
203.6%
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.

(19.9%)
Max Drawdown
160
Num Trades
53.1%
Win Trades
1.8 : 1
Profit Factor
78.9%
Win Months
Hypothetical Monthly Returns (includes system fee and Typical Broker commissions and fees)
 JanFebMarAprMayJunJulAugSepOctNovDecYTD
2020              +1.0%+10.6%+13.5%+16.5%+17.4%+27.9%(9.8%)+11.8%+33.5%+10.2%+229.2%
2021(1.9%)+9.5%+6.6%+19.2%+10.8%+14.4%(4.9%)+7.6%(9.8%)                  +59.7%

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 338 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
9/16/21 9:30 SQQQ PROSHARES ULTRAPRO SHORT QQQ LONG 8,430 7.53 9/16 15:59 7.41 1.91%
Trade id #137396100
Max drawdown($1,276)
Time9/16/21 15:08
Quant open8,430
Worst price7.38
Drawdown as % of equity-1.91%
($1,024)
Includes Typical Broker Commissions trade costs of $5.00
9/15/21 9:30 TQQQ PROSHARES ULTRAPRO QQQ LONG 445 145.14 9/16 9:30 145.44 2.29%
Trade id #137379855
Max drawdown($1,500)
Time9/15/21 10:15
Quant open445
Worst price141.76
Drawdown as % of equity-2.29%
$124
Includes Typical Broker Commissions trade costs of $8.90
9/14/21 15:59 SQQQ PROSHARES ULTRAPRO SHORT QQQ LONG 8,123 7.62 9/15 9:30 7.54 1.2%
Trade id #137372392
Max drawdown($799)
Time9/15/21 0:00
Quant open8,123
Worst price7.52
Drawdown as % of equity-1.20%
($652)
Includes Typical Broker Commissions trade costs of $5.00
9/14/21 9:30 TQQQ PROSHARES ULTRAPRO QQQ LONG 453 147.65 9/14 15:59 143.66 3.22%
Trade id #137363082
Max drawdown($2,189)
Time9/14/21 15:50
Quant open453
Worst price142.82
Drawdown as % of equity-3.22%
($1,817)
Includes Typical Broker Commissions trade costs of $9.06
9/13/21 15:59 SQQQ PROSHARES ULTRAPRO SHORT QQQ LONG 8,794 7.55 9/14 9:30 7.41 1.99%
Trade id #137355111
Max drawdown($1,396)
Time9/14/21 0:00
Quant open8,794
Worst price7.39
Drawdown as % of equity-1.99%
($1,244)
Includes Typical Broker Commissions trade costs of $5.00
9/3/21 9:30 TQQQ PROSHARES ULTRAPRO QQQ LONG 472 150.06 9/13 10:10 143.73 4.28%
Trade id #137238614
Max drawdown($3,035)
Time9/13/21 10:10
Quant open472
Worst price143.63
Drawdown as % of equity-4.28%
($2,996)
Includes Typical Broker Commissions trade costs of $9.44
9/2/21 15:59 SQQQ PROSHARES ULTRAPRO SHORT QQQ LONG 9,377 7.31 9/3 9:30 7.31 0.28%
Trade id #137231167
Max drawdown($201)
Time9/3/21 0:00
Quant open9,377
Worst price7.29
Drawdown as % of equity-0.28%
$19
Includes Typical Broker Commissions trade costs of $5.00
8/18/21 9:30 TQQQ PROSHARES ULTRAPRO QQQ LONG 469 133.26 9/2 15:59 149.96 4.28%
Trade id #137015028
Max drawdown($2,722)
Time8/19/21 0:00
Quant open469
Worst price127.45
Drawdown as % of equity-4.28%
$7,826
Includes Typical Broker Commissions trade costs of $9.38
8/17/21 9:30 SQQQ PROSHARES ULTRAPRO SHORT QQQ LONG 14,200 8.28 8/18 9:30 8.27 1.49%
Trade id #136995990
Max drawdown($1,002)
Time8/17/21 9:36
Quant open14,200
Worst price8.21
Drawdown as % of equity-1.49%
($148)
Includes Typical Broker Commissions trade costs of $10.00
8/10/21 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 463 134.90 8/17 9:30 133.92 2.35%
Trade id #136908351
Max drawdown($1,576)
Time8/16/21 0:00
Quant open463
Worst price131.50
Drawdown as % of equity-2.35%
($465)
Includes Typical Broker Commissions trade costs of $9.26
8/3/21 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 479 135.03 8/10 10:41 134.27 0.89%
Trade id #136811558
Max drawdown($589)
Time8/4/21 0:00
Quant open479
Worst price133.80
Drawdown as % of equity-0.89%
($374)
Includes Typical Broker Commissions trade costs of $9.58
7/28/21 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 495 134.45 8/3 11:25 130.03 3.4%
Trade id #136721272
Max drawdown($2,278)
Time8/3/21 11:25
Quant open495
Worst price129.85
Drawdown as % of equity-3.40%
($2,199)
Includes Typical Broker Commissions trade costs of $9.90
7/28/21 9:30 TQQQ PROSHARES ULTRAPRO QQQ LONG 1,010 134.23 7/28 9:41 132.27 2.09%
Trade id #136711096
Max drawdown($1,486)
Time7/28/21 9:41
Quant open505
Worst price131.29
Drawdown as % of equity-2.09%
($1,990)
Includes Typical Broker Commissions trade costs of $10.00
7/27/21 15:58 SQQQ PROSHARES ULTRAPRO SHORT QQQ LONG 8,008 8.38 7/28 9:30 8.27 1.56%
Trade id #136703125
Max drawdown($1,110)
Time7/28/21 0:00
Quant open8,008
Worst price8.24
Drawdown as % of equity-1.56%
($861)
Includes Typical Broker Commissions trade costs of $5.00
7/7/21 9:30 TQQQ PROSHARES ULTRAPRO QQQ LONG 1,303 129.04 7/27 10:36 128.99 7.15%
Trade id #136358029
Max drawdown($4,892)
Time7/19/21 0:00
Quant open522
Worst price119.67
Drawdown as % of equity-7.15%
($91)
Includes Typical Broker Commissions trade costs of $20.63
7/6/21 15:58 SQQQ PROSHARES ULTRAPRO SHORT QQQ LONG 7,636 8.72 7/7 9:30 8.54 2.05%
Trade id #136350232
Max drawdown($1,499)
Time7/7/21 0:00
Quant open7,636
Worst price8.52
Drawdown as % of equity-2.05%
($1,372)
Includes Typical Broker Commissions trade costs of $5.00
6/25/21 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 555 117.40 7/6 12:08 125.77 n/a $4,642
Includes Typical Broker Commissions trade costs of $5.00
6/21/21 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 568 112.51 6/25 10:12 116.96 0.46%
Trade id #136150050
Max drawdown($304)
Time6/22/21 0:00
Quant open568
Worst price111.97
Drawdown as % of equity-0.46%
$2,522
Includes Typical Broker Commissions trade costs of $5.00
6/21/21 9:30 TQQQ PROSHARES ULTRAPRO QQQ LONG 585 110.97 6/21 9:37 108.66 1.05%
Trade id #136139294
Max drawdown($725)
Time6/21/21 9:37
Quant open292
Worst price108.49
Drawdown as % of equity-1.05%
($1,356)
Includes Typical Broker Commissions trade costs of $5.00
6/18/21 9:30 SQQQ PROSHARES ULTRAPRO SHORT QQQ LONG 6,215 10.09 6/21 9:30 10.15 0.45%
Trade id #136111418
Max drawdown($309)
Time6/18/21 9:44
Quant open3,108
Worst price9.99
Drawdown as % of equity-0.45%
$391
Includes Typical Broker Commissions trade costs of $5.00
6/17/21 9:30 TQQQ PROSHARES ULTRAPRO QQQ LONG 597 108.55 6/18 9:30 111.92 n/a $2,006
Includes Typical Broker Commissions trade costs of $5.00
6/16/21 15:58 SQQQ PROSHARES ULTRAPRO SHORT QQQ LONG 5,200 10.36 6/17 9:30 10.42 0.42%
Trade id #136084783
Max drawdown($280)
Time6/17/21 0:00
Quant open2,600
Worst price10.25
Drawdown as % of equity-0.42%
$325
Includes Typical Broker Commissions trade costs of $5.00
6/8/21 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 587 105.09 6/16 12:11 109.31 0.07%
Trade id #135971360
Max drawdown($46)
Time6/9/21 0:00
Quant open294
Worst price104.93
Drawdown as % of equity-0.07%
$2,472
Includes Typical Broker Commissions trade costs of $5.00
6/2/21 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 593 101.90 6/8 11:19 103.97 2.14%
Trade id #135879979
Max drawdown($1,341)
Time6/3/21 0:00
Quant open296
Worst price97.38
Drawdown as % of equity-2.14%
$1,225
Includes Typical Broker Commissions trade costs of $5.00
6/1/21 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 596.500000000 101.68 6/2 14:13 100.66 0.53%
Trade id #135863872
Max drawdown($329)
Time6/2/21 14:13
Quant open298
Worst price100.57
Drawdown as % of equity-0.53%
($613)
Includes Typical Broker Commissions trade costs of $5.00
5/21/21 15:57 TQQQ PROSHARES ULTRAPRO QQQ LONG 601 96.27 6/1 10:14 101.49 n/a $3,128
Includes Typical Broker Commissions trade costs of $5.00
5/20/21 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 580.500000000 98.17 5/21 9:38 98.90 n/a $419
Includes Typical Broker Commissions trade costs of $5.00
5/20/21 9:30 SQQQ PROSHARES ULTRAPRO SHORT QQQ LONG 3,996.500000000 12.17 5/20 9:35 12.02 0.5%
Trade id #135698423
Max drawdown($299)
Time5/20/21 9:35
Quant open1,998
Worst price12.02
Drawdown as % of equity-0.50%
($623)
Includes Typical Broker Commissions trade costs of $5.00
5/18/21 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 613 92.64 5/20 9:30 93.94 2.75%
Trade id #135670937
Max drawdown($1,628)
Time5/19/21 0:00
Quant open306
Worst price87.33
Drawdown as % of equity-2.75%
$792
Includes Typical Broker Commissions trade costs of $5.00
5/12/21 15:59 TQQQ PROSHARES ULTRAPRO QQQ LONG 612.500000000 88.10 5/18 14:41 93.25 0.02%
Trade id #135584291
Max drawdown($8)
Time5/13/21 0:00
Quant open306
Worst price88.07
Drawdown as % of equity-0.02%
$3,151
Includes Typical Broker Commissions trade costs of $5.00

Statistics

  • Strategy began
    3/26/2020
  • Suggested Minimum Cap
    $15,000
  • Strategy Age (days)
    541.34
  • Age
    18 months ago
  • What it trades
    Stocks
  • # Trades
    160
  • # Profitable
    85
  • % Profitable
    53.10%
  • Avg trade duration
    3.7 days
  • Max peak-to-valley drawdown
    19.9%
  • drawdown period
    March 31, 2020 - April 03, 2020
  • Annual Return (Compounded)
    203.6%
  • Avg win
    $1,490
  • Avg loss
    $931.31
  • Model Account Values (Raw)
  • Cash
    $20,613
  • Margin Used
    $0
  • Buying Power
    $20,502
  • Ratios
  • W:L ratio
    1.81:1
  • Sharpe Ratio
    2.16
  • Sortino Ratio
    3.53
  • Calmar Ratio
    13.332
  • CORRELATION STATISTICS
  • Return of Strat Pcnt - Return of SP500 Pcnt (cumu)
    355.88%
  • Correlation to SP500
    0.43550
  • Return Percent SP500 (cumu) during strategy life
    68.55%
  • Return Statistics
  • Ann Return (w trading costs)
    203.6%
  • Slump
  • Current Slump as Pcnt Equity
    13.60%
  • Instruments
  • Percent Trades Futures
    n/a
  • Slump
  • Current Slump, time of slump as pcnt of strategy life
    0.10%
  • Instruments
  • Short Options - Percent Covered
    100.00%
  • Return Statistics
  • Return Pcnt (Compound or Annual, age-based, NFA compliant)
    2.036%
  • Instruments
  • Percent Trades Options
    n/a
  • Percent Trades Stocks
    1.00%
  • Percent Trades Forex
    n/a
  • Return Statistics
  • Ann Return (Compnd, No Fees)
    216.8%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
    31.50%
  • Chance of 20% account loss
    6.00%
  • Chance of 30% account loss
    2.00%
  • Chance of 40% account loss
    0.50%
  • 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 Automated
    n/a
  • Risk of Ruin (Monte-Carlo)
  • Chance of 50% account loss
    n/a
  • Popularity
  • Popularity (Today)
    996
  • Popularity (Last 6 weeks)
    999
  • Trading Style
  • Any stock shorts? 0/1
    0
  • Popularity
  • C2 Score
    825
  • Popularity (7 days, Percentile 1000 scale)
    998
  • Management
  • No Subs Allowed Flag (1: no subs)
    0
  • Strat abandoned?
    0
  • Trades-Own-System Certification
  • Trades Own System?
    Yes
  • TOS percent
    100%
  • Win / Loss
  • Avg Loss
    $931
  • Avg Win
    $1,435
  • Sum Trade PL (losers)
    $69,848.000
  • AUM
  • AUM (AutoTrader num accounts)
    432
  • Age
  • Num Months filled monthly returns table
    19
  • Win / Loss
  • Sum Trade PL (winners)
    $120,518.000
  • # Winners
    84
  • Num Months Winners
    15
  • Dividends
  • Dividends Received in Model Acct
    11
  • AUM
  • AUM (AutoTrader live capital)
    35919100
  • Win / Loss
  • # Losers
    75
  • % Winners
    52.8%
  • Frequency
  • Avg Position Time (mins)
    5350.37
  • Avg Position Time (hrs)
    89.17
  • Avg Trade Length
    3.7 days
  • Last Trade Ago
    1
  • Leverage
  • Daily leverage (average)
    2.61
  • Daily leverage (max)
    5.70
  • Regression
  • Alpha
    0.23
  • Beta
    1.08
  • Treynor Index
    0.31
  • 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)
    -0.51
  • MAE:Equity, average, winning trades
    0.01
  • MAE:Equity, average, losing trades
    0.02
  • Avg(MAE) / Avg(PL) - All trades
    -28.375
  • 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
    0.290
  • Avg(MAE) / Avg(PL) - Losing trades
    -0.827
  • Hold-and-Hope Ratio
    -0.035
  • Analysis based on MONTHLY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to Sharpe ratio
  • Mean
    1.37942
  • SD
    0.35456
  • Sharpe ratio (Glass type estimate)
    3.89053
  • Sharpe ratio (Hedges UMVUE)
    3.70477
  • df
    16.00000
  • t
    4.63066
  • p
    0.12162
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    1.73309
  • Upperbound of 95% confidence interval for Sharpe Ratio
    5.97481
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.61689
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    5.79266
  • Statistics related to Sortino ratio
  • Sortino ratio
    16.38120
  • Upside Potential Ratio
    17.53730
  • Upside part of mean
    1.47677
  • Downside part of mean
    -0.09735
  • Upside SD
    0.51941
  • Downside SD
    0.08421
  • N nonnegative terms
    15.00000
  • N negative terms
    2.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    17.00000
  • Mean of predictor
    0.37026
  • Mean of criterion
    1.37942
  • SD of predictor
    0.12406
  • SD of criterion
    0.35456
  • Covariance
    0.02727
  • r
    0.61989
  • b (slope, estimate of beta)
    1.77161
  • a (intercept, estimate of alpha)
    0.72346
  • Mean Square Error
    0.08257
  • DF error
    15.00000
  • t(b)
    3.05959
  • p(b)
    0.13234
  • t(a)
    2.24070
  • p(a)
    0.19507
  • Lowerbound of 95% confidence interval for beta
    0.53742
  • Upperbound of 95% confidence interval for beta
    3.00579
  • Lowerbound of 95% confidence interval for alpha
    0.03527
  • Upperbound of 95% confidence interval for alpha
    1.41164
  • Treynor index (mean / b)
    0.77863
  • Jensen alpha (a)
    0.72346
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    1.25426
  • SD
    0.32358
  • Sharpe ratio (Glass type estimate)
    3.87620
  • Sharpe ratio (Hedges UMVUE)
    3.69113
  • df
    16.00000
  • t
    4.61360
  • p
    0.12222
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    1.72187
  • Upperbound of 95% confidence interval for Sharpe Ratio
    5.95740
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.60614
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    5.77611
  • Statistics related to Sortino ratio
  • Sortino ratio
    14.35220
  • Upside Potential Ratio
    15.50620
  • Upside part of mean
    1.35510
  • Downside part of mean
    -0.10085
  • Upside SD
    0.47117
  • Downside SD
    0.08739
  • N nonnegative terms
    15.00000
  • N negative terms
    2.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    17.00000
  • Mean of predictor
    0.35697
  • Mean of criterion
    1.25426
  • SD of predictor
    0.12106
  • SD of criterion
    0.32358
  • Covariance
    0.02380
  • r
    0.60745
  • b (slope, estimate of beta)
    1.62362
  • a (intercept, estimate of alpha)
    0.67467
  • Mean Square Error
    0.07047
  • DF error
    15.00000
  • t(b)
    2.96172
  • p(b)
    0.13860
  • t(a)
    2.27379
  • p(a)
    0.19204
  • Lowerbound of 95% confidence interval for beta
    0.45515
  • Upperbound of 95% confidence interval for beta
    2.79208
  • Lowerbound of 95% confidence interval for alpha
    0.04224
  • Upperbound of 95% confidence interval for alpha
    1.30711
  • Treynor index (mean / b)
    0.77251
  • Jensen alpha (a)
    0.67467
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.04794
  • Expected Shortfall on VaR
    0.08384
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.00474
  • Expected Shortfall on VaR
    0.01653
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    17.00000
  • Minimum
    0.91702
  • Quartile 1
    1.07061
  • Median
    1.11024
  • Quartile 3
    1.22224
  • Maximum
    1.27681
  • Mean of quarter 1
    0.99967
  • Mean of quarter 2
    1.09631
  • Mean of quarter 3
    1.16011
  • Mean of quarter 4
    1.24243
  • Inter Quartile Range
    0.15163
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    0.00000
  • Percentage of outliers high
    0.00000
  • Mean of outliers high
    0.00000
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    0.00000
  • VaR(95%) (moments method)
    0.00000
  • Expected Shortfall (moments method)
    0.00000
  • Extreme Value Index (regression method)
    -1.97389
  • VaR(95%) (regression method)
    0.11749
  • Expected Shortfall (regression method)
    0.12643
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    2.00000
  • Minimum
    0.05027
  • Quartile 1
    0.05845
  • Median
    0.06663
  • Quartile 3
    0.07481
  • Maximum
    0.08298
  • Mean of quarter 1
    0.05027
  • Mean of quarter 2
    0.00000
  • Mean of quarter 3
    0.00000
  • Mean of quarter 4
    0.08298
  • Inter Quartile Range
    0.01635
  • 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)
    3.63505
  • Compounded annual return (geometric extrapolation)
    2.60443
  • Calmar ratio (compounded annual return / max draw down)
    31.38450
  • Compounded annual return / average of 25% largest draw downs
    31.38450
  • Compounded annual return / Expected Shortfall lognormal
    31.06480
  • 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
    1.25008
  • SD
    0.45144
  • Sharpe ratio (Glass type estimate)
    2.76908
  • Sharpe ratio (Hedges UMVUE)
    2.76363
  • df
    381.00000
  • t
    3.34362
  • p
    0.00045
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    1.13229
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.40238
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.12863
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.39863
  • Statistics related to Sortino ratio
  • Sortino ratio
    4.52139
  • Upside Potential Ratio
    12.16360
  • Upside part of mean
    3.36301
  • Downside part of mean
    -2.11293
  • Upside SD
    0.36440
  • Downside SD
    0.27648
  • N nonnegative terms
    227.00000
  • N negative terms
    155.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    382.00000
  • Mean of predictor
    0.34846
  • Mean of criterion
    1.25008
  • SD of predictor
    0.19022
  • SD of criterion
    0.45144
  • Covariance
    0.03742
  • r
    0.43574
  • b (slope, estimate of beta)
    1.03412
  • a (intercept, estimate of alpha)
    0.89000
  • Mean Square Error
    0.16554
  • DF error
    380.00000
  • t(b)
    9.43727
  • p(b)
    0.00000
  • t(a)
    2.62374
  • p(a)
    0.00452
  • Lowerbound of 95% confidence interval for beta
    0.81866
  • Upperbound of 95% confidence interval for beta
    1.24958
  • Lowerbound of 95% confidence interval for alpha
    0.22297
  • Upperbound of 95% confidence interval for alpha
    1.55650
  • Treynor index (mean / b)
    1.20884
  • Jensen alpha (a)
    0.88974
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    1.14639
  • SD
    0.44913
  • Sharpe ratio (Glass type estimate)
    2.55247
  • Sharpe ratio (Hedges UMVUE)
    2.54744
  • df
    381.00000
  • t
    3.08207
  • p
    0.00110
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.91758
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.18412
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.91422
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.18067
  • Statistics related to Sortino ratio
  • Sortino ratio
    4.04014
  • Upside Potential Ratio
    11.62520
  • Upside part of mean
    3.29866
  • Downside part of mean
    -2.15227
  • Upside SD
    0.35453
  • Downside SD
    0.28375
  • N nonnegative terms
    227.00000
  • N negative terms
    155.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    382.00000
  • Mean of predictor
    0.33016
  • Mean of criterion
    1.14639
  • SD of predictor
    0.19026
  • SD of criterion
    0.44913
  • Covariance
    0.03697
  • r
    0.43263
  • b (slope, estimate of beta)
    1.02129
  • a (intercept, estimate of alpha)
    0.80920
  • Mean Square Error
    0.16439
  • DF error
    380.00000
  • t(b)
    9.35436
  • p(b)
    0.00000
  • t(a)
    2.39613
  • p(a)
    0.00853
  • Lowerbound of 95% confidence interval for beta
    0.80662
  • Upperbound of 95% confidence interval for beta
    1.23596
  • Lowerbound of 95% confidence interval for alpha
    0.14518
  • Upperbound of 95% confidence interval for alpha
    1.47323
  • Treynor index (mean / b)
    1.12249
  • Jensen alpha (a)
    0.80920
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.04042
  • Expected Shortfall on VaR
    0.05144
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.01615
  • Expected Shortfall on VaR
    0.03316
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    382.00000
  • Minimum
    0.90995
  • Quartile 1
    0.99077
  • Median
    1.00415
  • Quartile 3
    1.02062
  • Maximum
    1.11575
  • Mean of quarter 1
    0.97069
  • Mean of quarter 2
    0.99820
  • Mean of quarter 3
    1.01152
  • Mean of quarter 4
    1.03910
  • Inter Quartile Range
    0.02985
  • Number outliers low
    7.00000
  • Percentage of outliers low
    0.01832
  • Mean of outliers low
    0.92405
  • Number of outliers high
    10.00000
  • Percentage of outliers high
    0.02618
  • Mean of outliers high
    1.08312
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    -0.64374
  • VaR(95%) (moments method)
    0.02494
  • Expected Shortfall (moments method)
    0.02833
  • Extreme Value Index (regression method)
    -0.16363
  • VaR(95%) (regression method)
    0.02567
  • Expected Shortfall (regression method)
    0.03331
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    50.00000
  • Minimum
    0.00069
  • Quartile 1
    0.00549
  • Median
    0.03809
  • Quartile 3
    0.08453
  • Maximum
    0.16771
  • Mean of quarter 1
    0.00283
  • Mean of quarter 2
    0.01821
  • Mean of quarter 3
    0.05866
  • Mean of quarter 4
    0.11707
  • Inter Quartile Range
    0.07903
  • 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)
    -0.05961
  • VaR(95%) (moments method)
    0.12738
  • Expected Shortfall (moments method)
    0.15056
  • Extreme Value Index (regression method)
    -0.16926
  • VaR(95%) (regression method)
    0.10801
  • Expected Shortfall (regression method)
    0.11759
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    3.11439
  • Compounded annual return (geometric extrapolation)
    2.23587
  • Calmar ratio (compounded annual return / max draw down)
    13.33200
  • Compounded annual return / average of 25% largest draw downs
    19.09780
  • Compounded annual return / Expected Shortfall lognormal
    43.46870
  • 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
    0.71285
  • SD
    0.34360
  • Sharpe ratio (Glass type estimate)
    2.07462
  • Sharpe ratio (Hedges UMVUE)
    2.06263
  • df
    130.00000
  • t
    1.46698
  • p
    0.43619
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.71251
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.85400
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.72049
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.84575
  • Statistics related to Sortino ratio
  • Sortino ratio
    3.36644
  • Upside Potential Ratio
    11.70550
  • Upside part of mean
    2.47866
  • Downside part of mean
    -1.76581
  • Upside SD
    0.27251
  • Downside SD
    0.21175
  • N nonnegative terms
    74.00000
  • N negative terms
    57.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.22602
  • Mean of criterion
    0.71285
  • SD of predictor
    0.10557
  • SD of criterion
    0.34360
  • Covariance
    0.01637
  • r
    0.45134
  • b (slope, estimate of beta)
    1.46904
  • a (intercept, estimate of alpha)
    0.38082
  • Mean Square Error
    0.09474
  • DF error
    129.00000
  • t(b)
    5.74469
  • p(b)
    0.22274
  • t(a)
    0.86723
  • p(a)
    0.45158
  • Lowerbound of 95% confidence interval for beta
    0.96309
  • Upperbound of 95% confidence interval for beta
    1.97499
  • Lowerbound of 95% confidence interval for alpha
    -0.48799
  • Upperbound of 95% confidence interval for alpha
    1.24962
  • Treynor index (mean / b)
    0.48525
  • Jensen alpha (a)
    0.38082
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.65368
  • SD
    0.34210
  • Sharpe ratio (Glass type estimate)
    1.91078
  • Sharpe ratio (Hedges UMVUE)
    1.89973
  • df
    130.00000
  • t
    1.35113
  • p
    0.44116
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.87425
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.68867
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.88167
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.68114
  • Statistics related to Sortino ratio
  • Sortino ratio
    3.03886
  • Upside Potential Ratio
    11.35340
  • Upside part of mean
    2.44220
  • Downside part of mean
    -1.78852
  • Upside SD
    0.26739
  • Downside SD
    0.21511
  • N nonnegative terms
    74.00000
  • N negative terms
    57.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.22038
  • Mean of criterion
    0.65368
  • SD of predictor
    0.10552
  • SD of criterion
    0.34210
  • Covariance
    0.01626
  • r
    0.45049
  • b (slope, estimate of beta)
    1.46045
  • a (intercept, estimate of alpha)
    0.33183
  • Mean Square Error
    0.09401
  • DF error
    129.00000
  • t(b)
    5.73103
  • p(b)
    0.22323
  • t(a)
    0.75895
  • p(a)
    0.45759
  • VAR (95 Confidence Intrvl)
    0.04000
  • Lowerbound of 95% confidence interval for beta
    0.95626
  • Upperbound of 95% confidence interval for beta
    1.96464
  • Lowerbound of 95% confidence interval for alpha
    -0.53323
  • Upperbound of 95% confidence interval for alpha
    1.19689
  • Treynor index (mean / b)
    0.44759
  • Jensen alpha (a)
    0.33183
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.03175
  • Expected Shortfall on VaR
    0.04024
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.01430
  • Expected Shortfall on VaR
    0.02775
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    131.00000
  • Minimum
    0.95636
  • Quartile 1
    0.99156
  • Median
    1.00235
  • Quartile 3
    1.01390
  • Maximum
    1.05998
  • Mean of quarter 1
    0.97651
  • Mean of quarter 2
    0.99732
  • Mean of quarter 3
    1.00756
  • Mean of quarter 4
    1.03006
  • Inter Quartile Range
    0.02233
  • Number outliers low
    3.00000
  • Percentage of outliers low
    0.02290
  • Mean of outliers low
    0.95690
  • Number of outliers high
    4.00000
  • Percentage of outliers high
    0.03053
  • Mean of outliers high
    1.05312
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    -0.65356
  • VaR(95%) (moments method)
    0.02184
  • Expected Shortfall (moments method)
    0.02466
  • Extreme Value Index (regression method)
    -0.74269
  • VaR(95%) (regression method)
    0.02398
  • Expected Shortfall (regression method)
    0.02678
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    16.00000
  • Minimum
    0.00072
  • Quartile 1
    0.00285
  • Median
    0.02526
  • Quartile 3
    0.07998
  • Maximum
    0.12423
  • Mean of quarter 1
    0.00143
  • Mean of quarter 2
    0.00705
  • Mean of quarter 3
    0.05406
  • Mean of quarter 4
    0.11266
  • Inter Quartile Range
    0.07713
  • 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)
    -4.70591
  • VaR(95%) (moments method)
    0.12013
  • Expected Shortfall (moments method)
    0.12017
  • Extreme Value Index (regression method)
    -3.55622
  • VaR(95%) (regression method)
    0.14266
  • Last 4 Months - Pcnt Negative
    0.50%
  • Expected Shortfall (regression method)
    0.14281
  • Strat Max DD how much worse than SP500 max DD during strat life?
    -286343000
  • Max Equity Drawdown (num days)
    3
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    0.81212
  • Compounded annual return (geometric extrapolation)
    0.97701
  • Calmar ratio (compounded annual return / max draw down)
    7.86450
  • Compounded annual return / average of 25% largest draw downs
    8.67222
  • Compounded annual return / Expected Shortfall lognormal
    24.28090

Strategy Description

This is a *** HIGH RISK/REWARD *** system, and can move up and down a lot each day. System will rescale down (ex: to $80k) whenever it reaches a higher amount (ex: $200k).

Leveraged ETFs are great for making outsized returns. The disadvantage is the huge potential drawdowns due to 3x leverage. Think of this strategy as one that buys and holds TQQQ, and tries to be short (by being long SQQQ) or out during some of the drops. We use machine learning (AI) to determine the proper moves.

REQUIREMENTS\NOTES:
1. $10k+ recommended, margin account required to avoid freeriding.
2. IRA compatible, no martingale or margin used (if IRA, IRA margin required).
3. If starting system, *** ENTER EXISTING OPEN POSITIONS ***.
4. HIGH RISK SYSTEM (uses leveraged ETFs), invest money you can afford to lose.
5. ETFs not available on IB in Europe https://europoor.com/how-to-buy-leveraged-etfs-from-europe/

Comparison of our four algo based systems (comparative risk shown):
1. AI TQQQ SQQQ swing, $25k+, risk 4/5, https://collective2.com/details/128265049
2. AI SOXL SOXS swing, $25k+, risk 5/5, https://collective2.com/details/127841340
3. AI TQQQ only swing, $10k+, risk 3/5, https://collective2.com/details/131561344
4. AI SOXL SOXS intraday, $25k+, risk 3/5, https://collective2.com/details/134901681

System last updated: 8.29.2021 (changes to make system react faster to changes in market)

Summary Statistics

Strategy began
2020-03-26
Suggested Minimum Capital
$15,000
Rank at C2 
#133
# Trades
160
# Profitable
85
% Profitable
53.1%
Net Dividends
Correlation S&P500
0.435
Sharpe Ratio
2.16
Sortino Ratio
3.53
Beta
1.08
Alpha
0.23
Leverage
2.61 Average
5.70 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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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.