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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 09/21/2020
Most recent certification approved 9/21/20 9:56 ET
Trades at broker Interactive Brokers (Stocks, Options, Futures)
Scaling percentage used 100%
# trading signals issued by system since certification 941
# trading signals executed in manager's Interactive Brokers (Stocks, Options, Futures) account 940
Percent signals followed since 09/21/2020 99.9%
This information was last updated 2/1/23 1:18 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 09/21/2020, 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.

Patience is a Virtue
(123937705)

Created by: InteractiveAssets InteractiveAssets
Started: 06/2019
Stocks
Last trade: 8 days ago
Trading style: Equity Trend-following Sector Rotation

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 $125.00 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 Rotation
Category: Equity

Sector Rotation

Uses the proceeds from the sale of securities related to a particular investment sector for the purchase of securities in another sector. This strategy is used as a method for capturing returns from market cycles and diversifying holdings over a specified holding period.
29.0%
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.

(54.0%)
Max Drawdown
152
Num Trades
42.8%
Win Trades
1.6 : 1
Profit Factor
54.5%
Win Months
Hypothetical Monthly Returns (includes system fee and Typical Broker commissions and fees)
 JanFebMarAprMayJunJulAugSepOctNovDecYTD
2019                                   +17.0%(0.7%)+3.3%(8%)+1.5%+0.7%+7.2%+20.7%
2020+9.5%+9.4%+30.2%+8.5%(0.8%)+4.3%+15.4%+18.4%(17.7%)+5.8%+20.4%+15.5%+189.8%
2021(1.1%)+7.9%+7.4%+7.2%(6.8%)+2.3%+2.9%+9.1%(12.1%)+15.3%(0.3%)(2.8%)+29.2%
2022(13.5%)(4%)(2.4%)(14%)(8.4%)(2.1%)(0.4%)(9.2%)+0.7%(0.5%)(0.5%)(6.3%)(47.3%)
2023+7.0%                                                                  

Model Account Details

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

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

System developer has asked us to delay this information by 168 hours.

Trading Record

This strategy has placed 1,214 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
1/12/23 15:49 SVIX VS TR -1X SHORT VIX FUTURES ETF LONG 2,214 16.56 1/18 15:46 16.39 0.72%
Trade id #143200492
Max drawdown($704)
Time1/18/23 13:08
Quant open2,152
Worst price16.23
Drawdown as % of equity-0.72%
($385)
Includes Typical Broker Commissions trade costs of $5.62
1/10/23 15:49 SVIX VS TR -1X SHORT VIX FUTURES ETF LONG 2,200 15.92 1/11 15:46 15.84 0.28%
Trade id #143167900
Max drawdown($258)
Time1/11/23 11:12
Quant open2,200
Worst price15.80
Drawdown as % of equity-0.28%
($173)
Includes Typical Broker Commissions trade costs of $5.00
1/3/23 15:49 BITO PROSHARES BITCOIN STRATEGY ETF LONG 635 10.48 1/4 15:46 10.57 0.01%
Trade id #143079666
Max drawdown($4)
Time1/3/23 15:52
Quant open635
Worst price10.47
Drawdown as % of equity-0.01%
$55
Includes Typical Broker Commissions trade costs of $5.00
12/16/22 15:49 SVIX VS TR -1X SHORT VIX FUTURES ETF LONG 2,409 13.91 1/3/23 15:46 14.75 1.38%
Trade id #142910483
Max drawdown($1,260)
Time12/22/22 0:00
Quant open2,338
Worst price13.37
Drawdown as % of equity-1.38%
$2,016
Includes Typical Broker Commissions trade costs of $5.71
12/30/22 15:49 TMF DIREXION DAILY 20+ YR TRSY BUL LONG 1,468 7.65 1/3/23 15:46 7.97 0.08%
Trade id #143049816
Max drawdown($71)
Time12/30/22 15:59
Quant open1,468
Worst price7.60
Drawdown as % of equity-0.08%
$468
Includes Typical Broker Commissions trade costs of $5.00
12/28/22 15:49 BITO PROSHARES BITCOIN STRATEGY ETF LONG 630 10.35 12/30 15:46 10.41 0.14%
Trade id #143024210
Max drawdown($122)
Time12/30/22 9:49
Quant open630
Worst price10.15
Drawdown as % of equity-0.14%
$35
Includes Typical Broker Commissions trade costs of $5.00
11/30/22 15:49 UPRO PROSHARES ULTRAPRO S&P 500 LONG 1,938 36.25 12/30 15:46 34.06 4.58%
Trade id #142725125
Max drawdown($4,175)
Time12/22/22 0:00
Quant open686
Worst price30.89
Drawdown as % of equity-4.58%
($4,290)
Includes Typical Broker Commissions trade costs of $38.76
12/23/22 15:49 BITO PROSHARES BITCOIN STRATEGY ETF LONG 625 10.51 12/27 15:46 10.37 0.13%
Trade id #142987532
Max drawdown($112)
Time12/27/22 14:16
Quant open625
Worst price10.32
Drawdown as % of equity-0.13%
($88)
Includes Typical Broker Commissions trade costs of $5.00
12/20/22 15:49 UDN INVESCO DB US DOLLAR INDEX LONG 359 18.42 12/21 15:46 18.37 0.03%
Trade id #142945336
Max drawdown($29)
Time12/21/22 12:23
Quant open359
Worst price18.34
Drawdown as % of equity-0.03%
($24)
Includes Typical Broker Commissions trade costs of $7.18
12/15/22 15:49 UUP INVESCO DB USD INDEX BULLISH FUND ETF LONG 632 28.27 12/20 15:46 28.14 0.12%
Trade id #142894976
Max drawdown($106)
Time12/20/22 10:14
Quant open231
Worst price27.81
Drawdown as % of equity-0.12%
($93)
Includes Typical Broker Commissions trade costs of $8.83
12/15/22 15:49 TMF DIREXION DAILY 20+ YR TRSY BUL LONG 2,264 9.94 12/16 15:46 9.67 1.41%
Trade id #142894978
Max drawdown($1,253)
Time12/16/22 9:38
Quant open2,264
Worst price9.39
Drawdown as % of equity-1.41%
($635)
Includes Typical Broker Commissions trade costs of $5.00
12/14/22 15:49 SVIX VS TR -1X SHORT VIX FUTURES ETF LONG 2,414 14.76 12/15 15:46 13.83 3.09%
Trade id #142881207
Max drawdown($2,747)
Time12/15/22 14:13
Quant open2,414
Worst price13.62
Drawdown as % of equity-3.09%
($2,257)
Includes Typical Broker Commissions trade costs of $5.00
12/14/22 15:49 UDN INVESCO DB US DOLLAR INDEX LONG 371 18.64 12/15 15:46 18.42 0.11%
Trade id #142881209
Max drawdown($97)
Time12/15/22 13:10
Quant open371
Worst price18.38
Drawdown as % of equity-0.11%
($90)
Includes Typical Broker Commissions trade costs of $7.42
12/12/22 15:49 TMF DIREXION DAILY 20+ YR TRSY BUL LONG 2,437 9.54 12/14 15:46 9.85 0.02%
Trade id #142850907
Max drawdown($17)
Time12/12/22 15:53
Quant open1,240
Worst price9.40
Drawdown as % of equity-0.02%
$740
Includes Typical Broker Commissions trade costs of $7.50
12/9/22 15:49 UUP INVESCO DB USD INDEX BULLISH FUND ETF LONG 666 28.20 12/14 15:46 27.99 0.18%
Trade id #142833897
Max drawdown($167)
Time12/14/22 15:12
Quant open666
Worst price27.95
Drawdown as % of equity-0.18%
($149)
Includes Typical Broker Commissions trade costs of $9.16
11/21/22 15:49 SVIX VS TR -1X SHORT VIX FUTURES ETF LONG 2,634 13.27 12/12 15:46 13.81 n/a $1,425
Includes Typical Broker Commissions trade costs of $5.88
12/7/22 15:49 UUP INVESCO DB USD INDEX BULLISH FUND ETF LONG 240 28.40 12/8 15:46 28.30 0.03%
Trade id #142804450
Max drawdown($25)
Time12/8/22 11:39
Quant open240
Worst price28.29
Drawdown as % of equity-0.03%
($27)
Includes Typical Broker Commissions trade costs of $4.80
12/1/22 15:49 UUP INVESCO DB USD INDEX BULLISH FUND ETF LONG 251 28.26 12/2 15:46 28.21 0.01%
Trade id #142739872
Max drawdown($14)
Time12/2/22 15:08
Quant open251
Worst price28.20
Drawdown as % of equity-0.01%
($15)
Includes Typical Broker Commissions trade costs of $5.02
11/22/22 15:49 TMF DIREXION DAILY 20+ YR TRSY BUL LONG 1,443 8.18 11/30 15:46 8.37 0.05%
Trade id #142650895
Max drawdown($50)
Time11/30/22 10:14
Quant open1,443
Worst price8.14
Drawdown as % of equity-0.05%
$275
Includes Typical Broker Commissions trade costs of $5.00
11/14/22 15:49 UDN INVESCO DB US DOLLAR INDEX LONG 1,672 18.07 11/29 15:46 17.95 0.4%
Trade id #142561131
Max drawdown($369)
Time11/21/22 0:00
Quant open1,671
Worst price17.85
Drawdown as % of equity-0.40%
($210)
Includes Typical Broker Commissions trade costs of $16.48
11/11/22 15:49 DBC INVESCO DB COMMODITY INDEX LONG 530 26.16 11/17 15:46 25.57 0.27%
Trade id #142540064
Max drawdown($249)
Time11/17/22 11:56
Quant open269
Worst price25.23
Drawdown as % of equity-0.27%
($319)
Includes Typical Broker Commissions trade costs of $7.80
11/15/22 13:43 GLD SPDR GOLD SHARES LONG 41 165.83 11/16 15:58 165.11 0.04%
Trade id #142574131
Max drawdown($41)
Time11/16/22 13:37
Quant open41
Worst price164.83
Drawdown as % of equity-0.04%
($31)
Includes Typical Broker Commissions trade costs of $0.82
11/10/22 15:49 SVIX VS TR -1X SHORT VIX FUTURES ETF LONG 2,859 12.46 11/15 13:42 12.13 1.23%
Trade id #142526062
Max drawdown($1,171)
Time11/15/22 13:39
Quant open2,859
Worst price12.05
Drawdown as % of equity-1.23%
($937)
Includes Typical Broker Commissions trade costs of $5.14
5/6/22 15:54 UUP INVESCO DB USD INDEX BULLISH FUND ETF LONG 11,759 28.21 11/14 15:46 28.43 0.96%
Trade id #140398368
Max drawdown($1,037)
Time5/27/22 0:00
Quant open1,676
Worst price27.12
Drawdown as % of equity-0.96%
$2,517
Includes Typical Broker Commissions trade costs of $99.74
11/10/22 15:49 GLD SPDR GOLD SHARES LONG 42 163.21 11/11 15:46 164.50 n/a $53
Includes Typical Broker Commissions trade costs of $0.84
11/8/22 15:49 DBC INVESCO DB COMMODITY INDEX LONG 268 26.03 11/10 15:47 25.65 0.17%
Trade id #142490366
Max drawdown($165)
Time11/9/22 0:00
Quant open268
Worst price25.41
Drawdown as % of equity-0.17%
($107)
Includes Typical Broker Commissions trade costs of $5.36
10/26/22 15:49 BITO PROSHARES BITCOIN STRATEGY ETF LONG 548 12.84 11/8 15:46 11.25 1.41%
Trade id #142332905
Max drawdown($1,341)
Time11/8/22 14:32
Quant open548
Worst price10.39
Drawdown as % of equity-1.41%
($874)
Includes Typical Broker Commissions trade costs of $5.00
10/19/22 15:49 BITO PROSHARES BITCOIN STRATEGY ETF LONG 599 11.82 10/20 15:46 11.72 0.1%
Trade id #142234226
Max drawdown($92)
Time10/20/22 14:32
Quant open599
Worst price11.67
Drawdown as % of equity-0.10%
($65)
Includes Typical Broker Commissions trade costs of $5.00
9/9/22 15:51 SVIX VS TR -1X SHORT VIX FUTURES ETF LONG 2,950 13.16 9/12 15:46 13.15 0.5%
Trade id #141728716
Max drawdown($476)
Time9/12/22 15:02
Quant open2,950
Worst price12.99
Drawdown as % of equity-0.50%
($32)
Includes Typical Broker Commissions trade costs of $8.47
8/26/22 15:49 DBC INVESCO DB COMMODITY INDEX LONG 285 26.62 8/31 15:46 25.78 0.26%
Trade id #141562551
Max drawdown($249)
Time8/31/22 14:44
Quant open285
Worst price25.74
Drawdown as % of equity-0.26%
($244)
Includes Typical Broker Commissions trade costs of $5.70

Statistics

  • Strategy began
    6/4/2019
  • Suggested Minimum Cap
    $15,000
  • Strategy Age (days)
    1337.47
  • Age
    45 months ago
  • What it trades
    Stocks
  • # Trades
    152
  • # Profitable
    65
  • % Profitable
    42.80%
  • Avg trade duration
    40.5 days
  • Max peak-to-valley drawdown
    54.03%
  • drawdown period
    Nov 22, 2021 - Dec 22, 2022
  • Annual Return (Compounded)
    29.0%
  • Avg win
    $2,847
  • Avg loss
    $1,363
  • Model Account Values (Raw)
  • Cash
    $60,677
  • Margin Used
    $0
  • Buying Power
    $67,652
  • Ratios
  • W:L ratio
    1.56:1
  • Sharpe Ratio
    0.81
  • Sortino Ratio
    1.18
  • Calmar Ratio
    0.662
  • CORRELATION STATISTICS
  • Return of Strat Pcnt - Return of SP500 Pcnt (cumu)
    109.51%
  • Correlation to SP500
    0.18640
  • Return Percent SP500 (cumu) during strategy life
    45.42%
  • Return Statistics
  • Ann Return (w trading costs)
    29.0%
  • Slump
  • Current Slump as Pcnt Equity
    95.10%
  • Instruments
  • Percent Trades Futures
    n/a
  • Slump
  • Current Slump, time of slump as pcnt of strategy life
    0.33%
  • Return Statistics
  • Return Pcnt Since TOS Status
    143.940%
  • Instruments
  • Short Options - Percent Covered
    100.00%
  • Return Statistics
  • Return Pcnt (Compound or Annual, age-based, NFA compliant)
    0.290%
  • Instruments
  • Percent Trades Options
    0.03%
  • Percent Trades Stocks
    0.97%
  • Percent Trades Forex
    n/a
  • Return Statistics
  • Ann Return (Compnd, No Fees)
    32.2%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
    56.50%
  • Chance of 20% account loss
    18.50%
  • Chance of 30% account loss
    8.00%
  • 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
    0.50%
  • Popularity
  • Popularity (Today)
    415
  • Popularity (Last 6 weeks)
    933
  • Trading Style
  • Any stock shorts? 0/1
    0
  • Popularity
  • C2 Score
    881
  • Popularity (7 days, Percentile 1000 scale)
    818
  • Trades-Own-System Certification
  • Trades Own System?
    Yes
  • TOS percent
    100%
  • Win / Loss
  • Avg Loss
    $1,363
  • Avg Win
    $2,847
  • Sum Trade PL (losers)
    $118,605.000
  • Age
  • Num Months filled monthly returns table
    44
  • Win / Loss
  • Sum Trade PL (winners)
    $185,057.000
  • # Winners
    65
  • Num Months Winners
    24
  • Dividends
  • Dividends Received in Model Acct
    443
  • AUM
  • AUM (AutoTrader live capital)
    154080
  • Win / Loss
  • # Losers
    87
  • % Winners
    42.8%
  • Frequency
  • Avg Position Time (mins)
    58338.70
  • Avg Position Time (hrs)
    972.31
  • Avg Trade Length
    40.5 days
  • Last Trade Ago
    0
  • Leverage
  • Daily leverage (average)
    1.50
  • Daily leverage (max)
    3.62
  • Regression
  • Alpha
    0.07
  • Beta
    0.22
  • Treynor Index
    0.34
  • 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)
    -0.14
  • MAE:Equity, average, winning trades
    0.01
  • MAE:Equity, average, losing trades
    0.01
  • Avg(MAE) / Avg(PL) - All trades
    4.035
  • 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
    0.00
  • Avg(MAE) / Avg(PL) - Winning trades
    0.280
  • Avg(MAE) / Avg(PL) - Losing trades
    -1.161
  • Hold-and-Hope Ratio
    0.270
  • Analysis based on MONTHLY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.31405
  • SD
    0.31856
  • Sharpe ratio (Glass type estimate)
    0.98583
  • Sharpe ratio (Hedges UMVUE)
    0.96810
  • df
    42.00000
  • t
    1.86615
  • p
    0.03451
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.07630
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.03673
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.08778
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.02399
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.01987
  • Upside Potential Ratio
    3.75592
  • Upside part of mean
    0.58397
  • Downside part of mean
    -0.26992
  • Upside SD
    0.28839
  • Downside SD
    0.15548
  • N nonnegative terms
    23.00000
  • N negative terms
    20.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    43.00000
  • Mean of predictor
    0.09213
  • Mean of criterion
    0.31405
  • SD of predictor
    0.20263
  • SD of criterion
    0.31856
  • Covariance
    0.01475
  • r
    0.22855
  • b (slope, estimate of beta)
    0.35932
  • a (intercept, estimate of alpha)
    0.28095
  • Mean Square Error
    0.09853
  • DF error
    41.00000
  • t(b)
    1.50324
  • p(b)
    0.07022
  • t(a)
    1.67953
  • p(a)
    0.05033
  • Lowerbound of 95% confidence interval for beta
    -0.12341
  • Upperbound of 95% confidence interval for beta
    0.84205
  • Lowerbound of 95% confidence interval for alpha
    -0.05688
  • Upperbound of 95% confidence interval for alpha
    0.61877
  • Treynor index (mean / b)
    0.87401
  • Jensen alpha (a)
    0.28095
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.26291
  • SD
    0.30764
  • Sharpe ratio (Glass type estimate)
    0.85460
  • Sharpe ratio (Hedges UMVUE)
    0.83923
  • df
    42.00000
  • t
    1.61772
  • p
    0.05660
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.20159
  • Upperbound of 95% confidence interval for Sharpe Ratio
    1.90100
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.21160
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.89006
  • Statistics related to Sortino ratio
  • Sortino ratio
    1.59419
  • Upside Potential Ratio
    3.30624
  • Upside part of mean
    0.54526
  • Downside part of mean
    -0.28235
  • Upside SD
    0.26647
  • Downside SD
    0.16492
  • N nonnegative terms
    23.00000
  • N negative terms
    20.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    43.00000
  • Mean of predictor
    0.07124
  • Mean of criterion
    0.26291
  • SD of predictor
    0.20590
  • SD of criterion
    0.30764
  • Covariance
    0.01507
  • r
    0.23796
  • b (slope, estimate of beta)
    0.35554
  • a (intercept, estimate of alpha)
    0.23758
  • Mean Square Error
    0.09146
  • DF error
    41.00000
  • t(b)
    1.56872
  • p(b)
    0.06220
  • t(a)
    1.47954
  • p(a)
    0.07332
  • Lowerbound of 95% confidence interval for beta
    -0.10217
  • Upperbound of 95% confidence interval for beta
    0.81325
  • Lowerbound of 95% confidence interval for alpha
    -0.08671
  • Upperbound of 95% confidence interval for alpha
    0.56187
  • Treynor index (mean / b)
    0.73947
  • Jensen alpha (a)
    0.23758
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.11677
  • Expected Shortfall on VaR
    0.14849
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.04964
  • Expected Shortfall on VaR
    0.09684
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    43.00000
  • Minimum
    0.84267
  • Quartile 1
    0.97739
  • Median
    1.01393
  • Quartile 3
    1.08304
  • Maximum
    1.21850
  • Mean of quarter 1
    0.92451
  • Mean of quarter 2
    0.99373
  • Mean of quarter 3
    1.03928
  • Mean of quarter 4
    1.15747
  • Inter Quartile Range
    0.10565
  • 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)
    -0.82412
  • VaR(95%) (moments method)
    0.06595
  • Expected Shortfall (moments method)
    0.07334
  • Extreme Value Index (regression method)
    -0.23763
  • VaR(95%) (regression method)
    0.08952
  • Expected Shortfall (regression method)
    0.11643
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    6.00000
  • Minimum
    0.01571
  • Quartile 1
    0.04158
  • Median
    0.07903
  • Quartile 3
    0.09905
  • Maximum
    0.44921
  • Mean of quarter 1
    0.02309
  • Mean of quarter 2
    0.07491
  • Mean of quarter 3
    0.08315
  • Mean of quarter 4
    0.27678
  • Inter Quartile Range
    0.05747
  • 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
    0.16667
  • Mean of outliers high
    0.44921
  • 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)
    0.51213
  • Compounded annual return (geometric extrapolation)
    0.33752
  • Calmar ratio (compounded annual return / max draw down)
    0.75137
  • Compounded annual return / average of 25% largest draw downs
    1.21946
  • Compounded annual return / Expected Shortfall lognormal
    2.27304
  • 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
    0.28928
  • SD
    0.27010
  • Sharpe ratio (Glass type estimate)
    1.07104
  • Sharpe ratio (Hedges UMVUE)
    1.07019
  • df
    950.00000
  • t
    2.04054
  • p
    0.02079
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.04090
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.10065
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.04032
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.10006
  • Statistics related to Sortino ratio
  • Sortino ratio
    1.55628
  • Upside Potential Ratio
    8.84934
  • Upside part of mean
    1.64493
  • Downside part of mean
    -1.35564
  • Upside SD
    0.19658
  • Downside SD
    0.18588
  • N nonnegative terms
    517.00000
  • N negative terms
    434.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    951.00000
  • Mean of predictor
    0.10364
  • Mean of criterion
    0.28928
  • SD of predictor
    0.23758
  • SD of criterion
    0.27010
  • Covariance
    0.01242
  • r
    0.19362
  • b (slope, estimate of beta)
    0.22012
  • a (intercept, estimate of alpha)
    0.26600
  • Mean Square Error
    0.07029
  • DF error
    949.00000
  • t(b)
    6.07957
  • p(b)
    0.00000
  • t(a)
    1.91416
  • p(a)
    0.02795
  • Lowerbound of 95% confidence interval for beta
    0.14907
  • Upperbound of 95% confidence interval for beta
    0.29118
  • Lowerbound of 95% confidence interval for alpha
    -0.00672
  • Upperbound of 95% confidence interval for alpha
    0.53966
  • Treynor index (mean / b)
    1.31420
  • Jensen alpha (a)
    0.26647
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.25266
  • SD
    0.27025
  • Sharpe ratio (Glass type estimate)
    0.93491
  • Sharpe ratio (Hedges UMVUE)
    0.93417
  • df
    950.00000
  • t
    1.78118
  • p
    0.03760
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.09493
  • Upperbound of 95% confidence interval for Sharpe Ratio
    1.96428
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.09543
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.96377
  • Statistics related to Sortino ratio
  • Sortino ratio
    1.33413
  • Upside Potential Ratio
    8.58511
  • Upside part of mean
    1.62587
  • Downside part of mean
    -1.37321
  • Upside SD
    0.19323
  • Downside SD
    0.18938
  • N nonnegative terms
    517.00000
  • N negative terms
    434.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    951.00000
  • Mean of predictor
    0.07526
  • Mean of criterion
    0.25266
  • SD of predictor
    0.23870
  • SD of criterion
    0.27025
  • Covariance
    0.01260
  • r
    0.19526
  • b (slope, estimate of beta)
    0.22107
  • a (intercept, estimate of alpha)
    0.23602
  • Mean Square Error
    0.07033
  • DF error
    949.00000
  • t(b)
    6.13325
  • p(b)
    0.00000
  • t(a)
    1.69533
  • p(a)
    0.04517
  • Lowerbound of 95% confidence interval for beta
    0.15034
  • Upperbound of 95% confidence interval for beta
    0.29181
  • Lowerbound of 95% confidence interval for alpha
    -0.03719
  • Upperbound of 95% confidence interval for alpha
    0.50924
  • Treynor index (mean / b)
    1.14288
  • Jensen alpha (a)
    0.23602
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.02615
  • Expected Shortfall on VaR
    0.03290
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.01115
  • Expected Shortfall on VaR
    0.02294
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    951.00000
  • Minimum
    0.93610
  • Quartile 1
    0.99410
  • Median
    1.00088
  • Quartile 3
    1.00922
  • Maximum
    1.09412
  • Mean of quarter 1
    0.98141
  • Mean of quarter 2
    0.99818
  • Mean of quarter 3
    1.00444
  • Mean of quarter 4
    1.02082
  • Inter Quartile Range
    0.01513
  • Number outliers low
    43.00000
  • Percentage of outliers low
    0.04522
  • Mean of outliers low
    0.95779
  • Number of outliers high
    35.00000
  • Percentage of outliers high
    0.03680
  • Mean of outliers high
    1.04312
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    0.30728
  • VaR(95%) (moments method)
    0.01748
  • Expected Shortfall (moments method)
    0.03064
  • Extreme Value Index (regression method)
    -0.01993
  • VaR(95%) (regression method)
    0.01803
  • Expected Shortfall (regression method)
    0.02529
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    50.00000
  • Minimum
    0.00005
  • Quartile 1
    0.00774
  • Median
    0.01789
  • Quartile 3
    0.04462
  • Maximum
    0.48952
  • Mean of quarter 1
    0.00327
  • Mean of quarter 2
    0.01232
  • Mean of quarter 3
    0.03243
  • Mean of quarter 4
    0.13515
  • Inter Quartile Range
    0.03688
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    7.00000
  • Percentage of outliers high
    0.14000
  • Mean of outliers high
    0.20324
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    0.55486
  • VaR(95%) (moments method)
    0.14552
  • Expected Shortfall (moments method)
    0.36183
  • Extreme Value Index (regression method)
    0.79104
  • VaR(95%) (regression method)
    0.12884
  • Expected Shortfall (regression method)
    0.56875
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    0.48729
  • Compounded annual return (geometric extrapolation)
    0.32388
  • Calmar ratio (compounded annual return / max draw down)
    0.66163
  • Compounded annual return / average of 25% largest draw downs
    2.39640
  • Compounded annual return / Expected Shortfall lognormal
    9.84366
  • 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
    -0.18770
  • SD
    0.13757
  • Sharpe ratio (Glass type estimate)
    -1.36435
  • Sharpe ratio (Hedges UMVUE)
    -1.35647
  • df
    130.00000
  • t
    -0.96474
  • p
    0.54216
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -4.13858
  • Upperbound of 95% confidence interval for Sharpe Ratio
    1.41495
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -4.13317
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.42024
  • Statistics related to Sortino ratio
  • Sortino ratio
    -1.78487
  • Upside Potential Ratio
    5.60646
  • Upside part of mean
    0.58958
  • Downside part of mean
    -0.77727
  • Upside SD
    0.08864
  • Downside SD
    0.10516
  • N nonnegative terms
    57.00000
  • N negative terms
    74.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    -0.02239
  • Mean of criterion
    -0.18770
  • SD of predictor
    0.22939
  • SD of criterion
    0.13757
  • Covariance
    0.00915
  • r
    0.28979
  • b (slope, estimate of beta)
    0.17380
  • a (intercept, estimate of alpha)
    -0.18380
  • Mean Square Error
    0.01747
  • DF error
    129.00000
  • t(b)
    3.43897
  • p(b)
    0.31813
  • t(a)
    -0.98328
  • p(a)
    0.55484
  • Lowerbound of 95% confidence interval for beta
    0.07381
  • Upperbound of 95% confidence interval for beta
    0.27379
  • Lowerbound of 95% confidence interval for alpha
    -0.55365
  • Upperbound of 95% confidence interval for alpha
    0.18604
  • Treynor index (mean / b)
    -1.07998
  • Jensen alpha (a)
    -0.18380
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    -0.19716
  • SD
    0.13784
  • Sharpe ratio (Glass type estimate)
    -1.43041
  • Sharpe ratio (Hedges UMVUE)
    -1.42214
  • df
    130.00000
  • t
    -1.01145
  • p
    0.54418
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -4.20500
  • Upperbound of 95% confidence interval for Sharpe Ratio
    1.34951
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -4.19933
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.35505
  • Statistics related to Sortino ratio
  • Sortino ratio
    -1.85558
  • Upside Potential Ratio
    5.51163
  • Upside part of mean
    0.58563
  • Downside part of mean
    -0.78280
  • Upside SD
    0.08782
  • Downside SD
    0.10625
  • N nonnegative terms
    57.00000
  • N negative terms
    74.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    -0.04842
  • Mean of criterion
    -0.19716
  • SD of predictor
    0.22889
  • SD of criterion
    0.13784
  • Covariance
    0.00924
  • r
    0.29292
  • b (slope, estimate of beta)
    0.17640
  • a (intercept, estimate of alpha)
    -0.18862
  • Mean Square Error
    0.01750
  • DF error
    129.00000
  • t(b)
    3.47958
  • p(b)
    0.31622
  • t(a)
    -1.00804
  • p(a)
    0.55621
  • VAR (95 Confidence Intrvl)
    0.02600
  • Lowerbound of 95% confidence interval for beta
    0.07610
  • Upperbound of 95% confidence interval for beta
    0.27670
  • Lowerbound of 95% confidence interval for alpha
    -0.55884
  • Upperbound of 95% confidence interval for alpha
    0.18160
  • Treynor index (mean / b)
    -1.11772
  • Jensen alpha (a)
    -0.18862
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.01465
  • Expected Shortfall on VaR
    0.01815
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.00734
  • Expected Shortfall on VaR
    0.01458
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    131.00000
  • Minimum
    0.96591
  • Quartile 1
    0.99739
  • Median
    0.99992
  • Quartile 3
    1.00178
  • Maximum
    1.02759
  • Mean of quarter 1
    0.98961
  • Mean of quarter 2
    0.99885
  • Mean of quarter 3
    1.00059
  • Mean of quarter 4
    1.00855
  • Inter Quartile Range
    0.00439
  • Number outliers low
    14.00000
  • Percentage of outliers low
    0.10687
  • Mean of outliers low
    0.98274
  • Number of outliers high
    11.00000
  • Percentage of outliers high
    0.08397
  • Mean of outliers high
    1.01676
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    0.14792
  • VaR(95%) (moments method)
    0.00834
  • Expected Shortfall (moments method)
    0.01296
  • Extreme Value Index (regression method)
    0.22686
  • VaR(95%) (regression method)
    0.01093
  • Expected Shortfall (regression method)
    0.01877
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    1.00000
  • Minimum
    0.14444
  • Quartile 1
    0.14444
  • Median
    0.14444
  • Quartile 3
    0.14444
  • Maximum
    0.14444
  • Mean of quarter 1
    0.00000
  • Mean of quarter 2
    0.00000
  • Mean of quarter 3
    0.00000
  • Mean of quarter 4
    0.00000
  • Inter Quartile Range
    0.00000
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    0.00000
  • Percentage of outliers high
    0.00000
  • Mean of outliers high
    0.00000
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    0.00000
  • VaR(95%) (moments method)
    0.00000
  • Expected Shortfall (moments method)
    0.00000
  • Extreme Value Index (regression method)
    0.00000
  • VaR(95%) (regression method)
    0.00000
  • Last 4 Months - Pcnt Negative
    0.75%
  • Expected Shortfall (regression method)
    0.00000
  • Strat Max DD how much worse than SP500 max DD during strat life?
    -297940000
  • Max Equity Drawdown (num days)
    395
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    -0.16229
  • Compounded annual return (geometric extrapolation)
    -0.15571
  • Calmar ratio (compounded annual return / max draw down)
    -1.07802
  • Compounded annual return / average of 25% largest draw downs
    0.00000
  • Compounded annual return / Expected Shortfall lognormal
    -8.58076

Strategy Description

In addition to this description, you can go to PatienceToInvest.com to see a video describing my investment philosophy. You can also ask questions there anytime.

I believe the logic behind this strategy is very sound. In short, invest in a diversified basket of historically appreciating assets with leverage and use various algorithmic trading signals to reduce leverage at various times in an effort to reduce drawdowns.

I use a mix of short, medium, and long-term signals to algorithmically determine entries and exits. I mostly buy things that have a long-term history of going up in value. On rare occasions like March of 2020, there are certain metrics that can trigger bets on inverse volatility. For example, in March of 2020 I did buy TVIX which has a long-term history of going down in value but does great in times of turmoil.

To be very clear, I expect to have high drawdowns when compared to investing in something like a balanced mutual fund. However, I do not expect to have drawdowns nearly as big as just buying and holding leveraged funds.

I have a Roth IRA at Interactive Brokers and this strategy reads the trades I make in it. For context, I have about 30 years before I plan to use the money in this Roth IRA. Like any REASONABLE investor, I know I won't make money every day, week, month, or year - especially if I want to target HIGH long-term growth - patience is needed! This strategy is very risky and volatile especially on a daily time frame. For example, September 3rd, 2020 it dropped by almost 11% in a single day.

Stops are generally not the primary way the system is designed to exit trades. However, the algorithm places stops with each position. I do this because you just never know what will happen. If price changes way faster than the signals can capture it, I don’t want to hold on to a 3X leveraged ETF during a day where the overall market drops 20% in a single day like it did in 1987! Because I use BrokerTransmit (AKA my strategy literally just copies my real brokerage account) you are not able to see stop orders until they trigger. On your end a stop triggered would just look like a market sell order. If it makes you feel more secure you could certainly instruct C2 to place stops on each position for you. I would not put them too tight though. For example, if you were to use a 1% stop you would probably experience too much whipsaw on these investments. Leveraged ETFs need more space to move when swing trading. Perhaps 10% would work well.

While I hope you follow, please consider the risks and your willingness to remain consistent. By jumping in and out I believe you will decrease your odds of success dramatically. Therefore, I suggest you only follow with money that you will feel comfortable remaining consistent with.

Good luck!
patiencetoinvest.com

Summary Statistics

Strategy began
2019-06-04
Suggested Minimum Capital
$15,000
Rank at C2 
#95
# Trades
152
# Profitable
65
% Profitable
42.8%
Net Dividends
Correlation S&P500
0.186
Sharpe Ratio
0.81
Sortino Ratio
1.18
Beta
0.22
Alpha
0.07
Leverage
1.50 Average
3.62 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

#PERSONNAME#
subscribed on started simulation #SUBSCRIBEDDATE#

Most values on this page (including the Strategy Equity Chart, above) have been adjusted by estimated trading commissions and subscription costs.

Some advanced users find it useful to see "raw" Model Account values. These numbers do not include any commissions, fees, subscription costs, or dividend actions.

Strategy developers can "archive" strategies at any time. This means the strategy Model Account is reset to its initial level and the trade list cleared. However, all archived track records are permanently preserved for evaluation by potential subscribers.

About the results you see on this Web site

Past results are not necessarily indicative of future results.

These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.

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

Material assumptions and methods used when calculating results

The following are material assumptions used when calculating any hypothetical monthly results that appear on our web site.

  • Profits are reinvested. We assume profits (when there are profits) are reinvested in the trading strategy.
  • Starting investment size. For any trading strategy on our site, hypothetical results are based on the assumption that you invested the starting amount shown on the strategy's performance chart. In some cases, nominal dollar amounts on the equity chart have been re-scaled downward to make current go-forward trading sizes more manageable. In these cases, it may not have been possible to trade the strategy historically at the equity levels shown on the chart, and a higher minimum capital was required in the past.
  • All fees are included. When calculating cumulative returns, we try to estimate and include all the fees a typical trader incurs when AutoTrading using AutoTrade technology. This includes the subscription cost of the strategy, plus any per-trade AutoTrade fees, plus estimated broker commissions if any.
  • "Max Drawdown" Calculation Method. We calculate the Max Drawdown statistic as follows. Our computer software looks at the equity chart of the system in question and finds the largest percentage amount that the equity chart ever declines from a local "peak" to a subsequent point in time (thus this is formally called "Maximum Peak to Valley Drawdown.") While this is useful information when evaluating trading systems, you should keep in mind that past performance does not guarantee future results. Therefore, future drawdowns may be larger than the historical maximum drawdowns you see here.

Trading is risky

There is a substantial risk of loss in futures and forex trading. Online trading of stocks and options is extremely risky. Assume you will lose money. Don't trade with money you cannot afford to lose.

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Strategy is now visible

This strategy is now visible to the public. New subscribers will be able to follow it.

If you designate your strategy as Private, it will no longer be visible to the public.

No subscribers and simulations will be allowed. If you have subscribers, the strategy will still be visible to them.
If you have simulations, they will be stopped.

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Strategy is no longer visible

This strategy is no longer visible to anyone except current subscribers.

(Current subscribers will remain subscribed. You can see who is subscribed, and control their subscriptions, on your Subscriber Management screen.)

Finally, please note that you can restore public visibility at any time.

This strategy is no longer visible to the public. No subscribers will be allowed.

You can restore public visibility at any time.

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.