Welcome to Collective2

Follow these tips for a better experience

Ok, let's start

Close
Add to Watch List Create new Watch List
Add
Enter a name for your Watch List.
Watch List name must be less than 60 characters.
You have reached the maximum number of custom Watch Lists.
You have reached the maximum number of strategies in this Watch List.
Strategy added to Watch List. Go to Watch List

Sim is unavailable for this strategy, because you've recently "Simmed" it.

You already have a live, full-featured subscription to this strategy.

Okay, no problem

Reach out to us when you are ready. You can schedule your free training session at any time by clicking the button.

Remember, this training is free, low pressure, and (we hope!) fun.

Got it

Later

You can find it here.

Got it

Video Saved for Later

You can watch this video later. Just click this button at the top of the screen whenever you're ready to watch it.

Got it
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 07/26/2023
Most recent certification approved 7/26/23 15:58 ET
Trades at broker Interactive Brokers (server 2 / Stocks, Option, Futures)
Scaling percentage used 100%
# trading signals issued by system since certification 163
# trading signals executed in manager's Interactive Brokers (server 2 / Stocks, Option, Futures) account 163
Percent signals followed since 07/26/2023 100%
This information was last updated 4/27/24 1:37 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 07/26/2023, 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.

Accumulate Alpha B
(144769121)

Created by: JamesY JamesY
Started: 07/2023
Stocks
Last trade: 5 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 $50.00 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.

68.8%
Cumul. Return

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 Cumulative Rate of Return is calculated

= (Ending_equity - Starting_equity) / Starting_equity

Remember that, following NFA requirements, strategy subscription costs and estimated commissions are included in marked-to-market equity calculations.

All results are hypothetical.

(32.1%)
Max Drawdown
81
Num Trades
54.3%
Win Trades
1.4 : 1
Profit Factor
50.0%
Win Months
Hypothetical Monthly Returns (includes system fee and Typical Broker commissions and fees)
 JanFebMarAprMayJunJulAugSepOctNovDecYTD
2023                                          +1.1%(6.4%)+9.6%(0.3%)+19.2%+22.5%+50.8%
2024(4.1%)+35.6%(10.6%)(3.6%)                                                +12.0%

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.

Trading Record

This strategy has placed 163 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
4/15/24 15:58 TECL DIREXION DAILY TECHNOLOGY BULL LONG 1,035 71.94 4/22 15:58 63.74 14.72%
Trade id #147913780
Max drawdown($10,481)
Time4/19/24 0:00
Quant open1,035
Worst price61.81
Drawdown as % of equity-14.72%
($8,491)
Includes Typical Broker Commissions trade costs of $5.00
4/11/24 15:58 UPRO PROSHARES ULTRAPRO S&P 500 LONG 1,234 68.25 4/15 15:58 63.00 8.92%
Trade id #147878932
Max drawdown($6,878)
Time4/15/24 15:19
Quant open1,182
Worst price62.43
Drawdown as % of equity-8.92%
($6,482)
Includes Typical Broker Commissions trade costs of $5.52
4/3/24 15:58 SOXL DIREXION DAILY SEMICONDCT BULL LONG 1,839 46.09 4/11 15:46 45.81 9.92%
Trade id #147799024
Max drawdown($7,628)
Time4/5/24 0:00
Quant open1,839
Worst price41.94
Drawdown as % of equity-9.92%
($516)
Includes Typical Broker Commissions trade costs of $5.00
4/2/24 15:58 UPRO PROSHARES ULTRAPRO S&P 500 LONG 1,230 68.72 4/3 15:58 68.89 0.65%
Trade id #147788572
Max drawdown($546)
Time4/3/24 9:30
Quant open1,230
Worst price68.28
Drawdown as % of equity-0.65%
$207
Includes Typical Broker Commissions trade costs of $5.00
4/1/24 15:58 TMV DIREXION DAILY 20+ YR TRSY BEA LONG 2,360 35.44 4/2 15:58 35.88 n/a $1,022
Includes Typical Broker Commissions trade costs of $5.00
3/21/24 15:58 TMF DIREXION DAILY 20-YR TREASURY BULL 3X SHRS LONG 1,614 52.03 4/1 15:58 51.36 1.41%
Trade id #147707618
Max drawdown($1,170)
Time4/1/24 15:53
Quant open1,614
Worst price51.31
Drawdown as % of equity-1.41%
($1,090)
Includes Typical Broker Commissions trade costs of $5.00
3/18/24 15:58 SOXS DIREXION DAILY SEMICONDCT BEAR LONG 25,829 3.60 3/21 15:58 3.23 17.91%
Trade id #147676585
Max drawdown($14,335)
Time3/21/24 11:50
Quant open25,829
Worst price3.05
Drawdown as % of equity-17.91%
($9,690)
Includes Typical Broker Commissions trade costs of $5.00
3/14/24 15:58 SOXS DIREXION DAILY SEMICONDCT BEAR LONG 26,076 3.52 3/18 13:12 3.58 4.65%
Trade id #147642886
Max drawdown($4,302)
Time3/18/24 9:32
Quant open26,076
Worst price3.36
Drawdown as % of equity-4.65%
$1,560
Includes Typical Broker Commissions trade costs of $5.00
3/12/24 15:58 UUP INVESCO DB USD INDEX BULLISH FUND ETF LONG 3,299 27.83 3/14 15:58 27.95 0.27%
Trade id #147613392
Max drawdown($245)
Time3/13/24 0:00
Quant open3,299
Worst price27.75
Drawdown as % of equity-0.27%
$393
Includes Typical Broker Commissions trade costs of $5.00
3/5/24 15:58 TMF DIREXION DAILY 20-YR TREASURY BULL 3X SHRS LONG 1,644 56.84 3/12 15:58 55.79 2.53%
Trade id #147547058
Max drawdown($2,283)
Time3/12/24 13:06
Quant open1,644
Worst price55.45
Drawdown as % of equity-2.53%
($1,730)
Includes Typical Broker Commissions trade costs of $5.00
3/4/24 15:58 TMV DIREXION DAILY 20+ YR TRSY BEA LONG 2,845 34.19 3/5 15:58 32.77 5.14%
Trade id #147532361
Max drawdown($4,917)
Time3/5/24 10:02
Quant open2,845
Worst price32.46
Drawdown as % of equity-5.14%
($4,037)
Includes Typical Broker Commissions trade costs of $5.00
3/1/24 15:58 UVXY PROSHARES ULTRA VIX SHORT-TERM LONG 14,404 6.76 3/4 15:58 6.76 1.05%
Trade id #147517291
Max drawdown($1,008)
Time3/4/24 9:40
Quant open14,404
Worst price6.69
Drawdown as % of equity-1.05%
$53
Includes Typical Broker Commissions trade costs of $5.00
2/29/24 15:58 TMV DIREXION DAILY 20+ YR TRSY BEA LONG 2,885 34.56 3/1 15:58 33.72 2.61%
Trade id #147505698
Max drawdown($2,505)
Time3/1/24 15:05
Quant open2,885
Worst price33.69
Drawdown as % of equity-2.61%
($2,419)
Includes Typical Broker Commissions trade costs of $5.00
2/27/24 15:58 UPRO PROSHARES ULTRAPRO S&P 500 LONG 1,523 64.67 2/29 15:58 65.47 1.27%
Trade id #147465410
Max drawdown($1,232)
Time2/28/24 0:00
Quant open1,523
Worst price63.86
Drawdown as % of equity-1.27%
$1,210
Includes Typical Broker Commissions trade costs of $5.00
2/26/24 15:58 TMV DIREXION DAILY 20+ YR TRSY BEA LONG 2,765 35.04 2/27 15:58 35.66 n/a $1,728
Includes Typical Broker Commissions trade costs of $5.00
2/23/24 15:58 TMF DIREXION DAILY 20-YR TREASURY BULL 3X SHRS LONG 1,819 53.92 2/26 15:58 53.26 2.29%
Trade id #147438865
Max drawdown($2,181)
Time2/26/24 13:01
Quant open1,819
Worst price52.72
Drawdown as % of equity-2.29%
($1,203)
Includes Typical Broker Commissions trade costs of $5.00
2/22/24 15:58 UPRO PROSHARES ULTRAPRO S&P 500 LONG 1,503 65.02 2/23 15:58 65.25 0.41%
Trade id #147415888
Max drawdown($398)
Time2/23/24 11:14
Quant open1,503
Worst price64.75
Drawdown as % of equity-0.41%
$340
Includes Typical Broker Commissions trade costs of $5.00
2/21/24 15:58 SOXL DIREXION DAILY SEMICONDCT BULL LONG 2,378 36.06 2/22 15:58 41.50 n/a $12,938
Includes Typical Broker Commissions trade costs of $5.00
2/16/24 15:58 TECL DIREXION DAILY TECHNOLOGY BULL LONG 1,197 75.40 2/21 15:58 71.42 8.98%
Trade id #147359763
Max drawdown($7,323)
Time2/21/24 14:43
Quant open1,197
Worst price69.28
Drawdown as % of equity-8.98%
($4,767)
Includes Typical Broker Commissions trade costs of $5.00
2/8/24 15:58 UPRO PROSHARES ULTRAPRO S&P 500 LONG 1,453 61.87 2/16 15:58 62.07 4.69%
Trade id #147263453
Max drawdown($4,184)
Time2/13/24 0:00
Quant open1,453
Worst price58.99
Drawdown as % of equity-4.69%
$286
Includes Typical Broker Commissions trade costs of $5.00
2/7/24 15:58 TMV DIREXION DAILY 20+ YR TRSY BEA LONG 2,628 33.53 2/8 15:58 34.26 n/a $1,914
Includes Typical Broker Commissions trade costs of $5.00
2/6/24 15:58 TECL DIREXION DAILY TECHNOLOGY BULL LONG 1,134 74.95 2/7 15:58 77.90 n/a $3,332
Includes Typical Broker Commissions trade costs of $5.00
2/5/24 15:58 UPRO PROSHARES ULTRAPRO S&P 500 LONG 1,409 60.16 2/6 15:58 60.35 0.76%
Trade id #147232515
Max drawdown($627)
Time2/6/24 10:25
Quant open1,409
Worst price59.71
Drawdown as % of equity-0.76%
$272
Includes Typical Broker Commissions trade costs of $5.00
2/1/24 15:58 TMV DIREXION DAILY 20+ YR TRSY BEA LONG 2,506 30.22 2/5 15:58 34.04 n/a $9,582
Includes Typical Broker Commissions trade costs of $5.00
1/30/24 15:58 SOXL DIREXION DAILY SEMICONDCT BULL LONG 2,335 33.55 2/1 15:58 32.39 7.49%
Trade id #147172021
Max drawdown($5,639)
Time1/31/24 0:00
Quant open2,335
Worst price31.14
Drawdown as % of equity-7.49%
($2,724)
Includes Typical Broker Commissions trade costs of $5.00
1/29/24 15:58 TMV DIREXION DAILY 20+ YR TRSY BEA LONG 2,373 33.71 1/30 15:58 32.98 2.34%
Trade id #147152969
Max drawdown($1,776)
Time1/30/24 15:58
Quant open2,373
Worst price32.96
Drawdown as % of equity-2.34%
($1,723)
Includes Typical Broker Commissions trade costs of $5.00
1/26/24 15:58 UPRO PROSHARES ULTRAPRO S&P 500 LONG 1,343 58.36 1/29 15:58 59.64 0.23%
Trade id #147138355
Max drawdown($171)
Time1/29/24 11:00
Quant open1,343
Worst price58.23
Drawdown as % of equity-0.23%
$1,719
Includes Typical Broker Commissions trade costs of $5.00
1/24/24 15:58 UVXY PROSHARES ULTRA VIX SHORT-TERM LONG 10,395 7.49 1/26 15:58 7.55 1.05%
Trade id #147119612
Max drawdown($790)
Time1/25/24 0:00
Quant open10,395
Worst price7.41
Drawdown as % of equity-1.05%
$662
Includes Typical Broker Commissions trade costs of $5.00
1/16/24 15:58 UPRO PROSHARES ULTRAPRO S&P 500 LONG 1,356 54.19 1/24 15:58 57.62 3.26%
Trade id #147018288
Max drawdown($2,288)
Time1/17/24 0:00
Quant open1,356
Worst price52.50
Drawdown as % of equity-3.26%
$4,650
Includes Typical Broker Commissions trade costs of $5.00
1/12/24 15:58 UUP INVESCO DB USD INDEX BULLISH FUND ETF LONG 2,656 27.45 1/16 15:58 27.70 n/a $651
Includes Typical Broker Commissions trade costs of $5.00

Statistics

  • Strategy began
    7/26/2023
  • Suggested Minimum Cap
    $15,000
  • Strategy Age (days)
    275.39
  • Age
    9 months ago
  • What it trades
    Stocks
  • # Trades
    81
  • # Profitable
    44
  • % Profitable
    54.30%
  • Avg trade duration
    3.4 days
  • Max peak-to-valley drawdown
    32.1%
  • drawdown period
    Feb 29, 2024 - April 19, 2024
  • Cumul. Return
    68.8%
  • Avg win
    $2,973
  • Avg loss
    $2,637
  • Model Account Values (Raw)
  • Cash
    $19,503
  • Margin Used
    $0
  • Buying Power
    $35,737
  • Ratios
  • W:L ratio
    1.36:1
  • Sharpe Ratio
    1.28
  • Sortino Ratio
    2.05
  • Calmar Ratio
    3.408
  • CORRELATION STATISTICS
  • Return of Strat Pcnt - Return of SP500 Pcnt (cumu)
    57.17%
  • Correlation to SP500
    0.37240
  • Return Percent SP500 (cumu) during strategy life
    11.68%
  • Return Statistics
  • Ann Return (w trading costs)
    98.6%
  • Slump
  • Current Slump as Pcnt Equity
    16.10%
  • Instruments
  • Percent Trades Futures
    n/a
  • Slump
  • Current Slump, time of slump as pcnt of strategy life
    0.21%
  • Instruments
  • Short Options - Percent Covered
    100.00%
  • Return Statistics
  • Return Pcnt (Compound or Annual, age-based, NFA compliant)
    0.689%
  • Instruments
  • Percent Trades Options
    n/a
  • Percent Trades Stocks
    1.00%
  • Percent Trades Forex
    n/a
  • Return Statistics
  • Ann Return (Compnd, No Fees)
    103.5%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
    64.00%
  • Chance of 20% account loss
    31.50%
  • Chance of 30% account loss
    10.50%
  • Chance of 40% account loss
    2.50%
  • 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)
    0
  • Popularity (Last 6 weeks)
    939
  • Trading Style
  • Any stock shorts? 0/1
    0
  • Popularity
  • C2 Score
    937
  • Popularity (7 days, Percentile 1000 scale)
    590
  • Trades-Own-System Certification
  • Trades Own System?
    Yes
  • TOS percent
    100%
  • Win / Loss
  • Avg Loss
    $2,637
  • Avg Win
    $2,973
  • Sum Trade PL (losers)
    $97,577.000
  • Age
  • Num Months filled monthly returns table
    10
  • Win / Loss
  • Sum Trade PL (winners)
    $130,826.000
  • # Winners
    44
  • Num Months Winners
    5
  • Dividends
  • Dividends Received in Model Acct
    2364
  • AUM
  • AUM (AutoTrader live capital)
    114884
  • Win / Loss
  • # Losers
    37
  • % Winners
    54.3%
  • Frequency
  • Avg Position Time (mins)
    4889.53
  • Avg Position Time (hrs)
    81.49
  • Avg Trade Length
    3.4 days
  • Last Trade Ago
    4
  • Leverage
  • Daily leverage (average)
    2.86
  • Daily leverage (max)
    3.77
  • Regression
  • Alpha
    0.16
  • Beta
    1.61
  • Treynor Index
    0.13
  • Maximum Adverse Excursion (MAE)
  • MAE:Equity, average, all trades
    0.04
  • MAE:PL - worst single value for strategy
    -
  • MAE:PL (avg, winning trades)
    -
  • MAE:PL (avg, losing trades)
    -
  • MAE:PL (avg, all trades)
    -0.24
  • MAE:Equity, average, winning trades
    0.02
  • MAE:Equity, average, losing trades
    0.06
  • Avg(MAE) / Avg(PL) - All trades
    -6.755
  • 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
    0.10
  • Avg(MAE) / Avg(PL) - Winning trades
    0.505
  • Avg(MAE) / Avg(PL) - Losing trades
    -1.468
  • Hold-and-Hope Ratio
    -0.206
  • Analysis based on MONTHLY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to Sharpe ratio
  • Mean
    1.04443
  • SD
    0.66341
  • Sharpe ratio (Glass type estimate)
    1.57433
  • Sharpe ratio (Hedges UMVUE)
    1.39832
  • df
    7.00000
  • t
    1.28543
  • p
    0.11977
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -1.00799
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.05816
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -1.11140
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.90804
  • Statistics related to Sortino ratio
  • Sortino ratio
    3.73573
  • Upside Potential Ratio
    5.46430
  • Upside part of mean
    1.52770
  • Downside part of mean
    -0.48327
  • Upside SD
    0.63075
  • Downside SD
    0.27958
  • N nonnegative terms
    4.00000
  • N negative terms
    4.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    8.00000
  • Mean of predictor
    0.19617
  • Mean of criterion
    1.04443
  • SD of predictor
    0.16689
  • SD of criterion
    0.66341
  • Covariance
    0.04872
  • r
    0.44000
  • b (slope, estimate of beta)
    1.74910
  • a (intercept, estimate of alpha)
    0.70130
  • Mean Square Error
    0.41406
  • DF error
    6.00000
  • t(b)
    1.20021
  • p(b)
    0.13765
  • t(a)
    0.83653
  • p(a)
    0.21745
  • Lowerbound of 95% confidence interval for beta
    -1.81691
  • Upperbound of 95% confidence interval for beta
    5.31511
  • Lowerbound of 95% confidence interval for alpha
    -1.35009
  • Upperbound of 95% confidence interval for alpha
    2.75269
  • Treynor index (mean / b)
    0.59713
  • Jensen alpha (a)
    0.70130
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.82858
  • SD
    0.63258
  • Sharpe ratio (Glass type estimate)
    1.30984
  • Sharpe ratio (Hedges UMVUE)
    1.16340
  • df
    7.00000
  • t
    1.06948
  • p
    0.16017
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -1.22545
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.76058
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -1.31320
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.64000
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.68227
  • Upside Potential Ratio
    4.38732
  • Upside part of mean
    1.35529
  • Downside part of mean
    -0.52671
  • Upside SD
    0.55850
  • Downside SD
    0.30891
  • N nonnegative terms
    4.00000
  • N negative terms
    4.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    8.00000
  • Mean of predictor
    0.18247
  • Mean of criterion
    0.82858
  • SD of predictor
    0.16303
  • SD of criterion
    0.63258
  • Covariance
    0.04615
  • r
    0.44751
  • b (slope, estimate of beta)
    1.73636
  • a (intercept, estimate of alpha)
    0.51174
  • Mean Square Error
    0.37336
  • DF error
    6.00000
  • t(b)
    1.22575
  • p(b)
    0.13311
  • t(a)
    0.64634
  • p(a)
    0.27099
  • Lowerbound of 95% confidence interval for beta
    -1.72991
  • Upperbound of 95% confidence interval for beta
    5.20262
  • Lowerbound of 95% confidence interval for alpha
    -1.42561
  • Upperbound of 95% confidence interval for alpha
    2.44908
  • Treynor index (mean / b)
    0.47719
  • Jensen alpha (a)
    0.51174
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.20651
  • Expected Shortfall on VaR
    0.26317
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.09297
  • Expected Shortfall on VaR
    0.17991
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    8.00000
  • Minimum
    0.79567
  • Quartile 1
    0.96498
  • Median
    1.09603
  • Quartile 3
    1.26994
  • Maximum
    1.28614
  • Mean of quarter 1
    0.85138
  • Mean of quarter 2
    0.99219
  • Mean of quarter 3
    1.22849
  • Mean of quarter 4
    1.28540
  • Inter Quartile Range
    0.30495
  • 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)
    0.00000
  • VaR(95%) (regression method)
    0.00000
  • Expected Shortfall (regression method)
    0.00000
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    3.00000
  • Minimum
    0.01572
  • Quartile 1
    0.05432
  • Median
    0.09292
  • Quartile 3
    0.14862
  • Maximum
    0.20433
  • Mean of quarter 1
    0.01572
  • Mean of quarter 2
    0.09292
  • Mean of quarter 3
    0.00000
  • Mean of quarter 4
    0.20433
  • Inter Quartile Range
    0.09430
  • 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)
    1.15503
  • Compounded annual return (geometric extrapolation)
    1.35487
  • Calmar ratio (compounded annual return / max draw down)
    6.63085
  • Compounded annual return / average of 25% largest draw downs
    6.63085
  • Compounded annual return / Expected Shortfall lognormal
    5.14828
  • 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
    0.80736
  • SD
    0.51431
  • Sharpe ratio (Glass type estimate)
    1.56982
  • Sharpe ratio (Hedges UMVUE)
    1.56374
  • df
    194.00000
  • t
    1.35430
  • p
    0.45161
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.70935
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.84509
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.71344
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.84092
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.50991
  • Upside Potential Ratio
    10.71960
  • Upside part of mean
    3.44820
  • Downside part of mean
    -2.64083
  • Upside SD
    0.40270
  • Downside SD
    0.32167
  • N nonnegative terms
    104.00000
  • N negative terms
    91.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    195.00000
  • Mean of predictor
    0.12761
  • Mean of criterion
    0.80736
  • SD of predictor
    0.11948
  • SD of criterion
    0.51431
  • Covariance
    0.02338
  • r
    0.38051
  • b (slope, estimate of beta)
    1.63793
  • a (intercept, estimate of alpha)
    0.59800
  • Mean Square Error
    0.22738
  • DF error
    193.00000
  • t(b)
    5.71626
  • p(b)
    0.26374
  • t(a)
    1.08019
  • p(a)
    0.45070
  • Lowerbound of 95% confidence interval for beta
    1.07278
  • Upperbound of 95% confidence interval for beta
    2.20308
  • Lowerbound of 95% confidence interval for alpha
    -0.49419
  • Upperbound of 95% confidence interval for alpha
    1.69090
  • Treynor index (mean / b)
    0.49292
  • Jensen alpha (a)
    0.59835
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.67598
  • SD
    0.51078
  • Sharpe ratio (Glass type estimate)
    1.32342
  • Sharpe ratio (Hedges UMVUE)
    1.31830
  • df
    194.00000
  • t
    1.14173
  • p
    0.45915
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.95388
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.59739
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.95734
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.59394
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.04639
  • Upside Potential Ratio
    10.20240
  • Upside part of mean
    3.37012
  • Downside part of mean
    -2.69415
  • Upside SD
    0.39011
  • Downside SD
    0.33033
  • N nonnegative terms
    104.00000
  • N negative terms
    91.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    195.00000
  • Mean of predictor
    0.12047
  • Mean of criterion
    0.67598
  • SD of predictor
    0.11943
  • SD of criterion
    0.51078
  • Covariance
    0.02300
  • r
    0.37702
  • b (slope, estimate of beta)
    1.61241
  • a (intercept, estimate of alpha)
    0.48174
  • Mean Square Error
    0.22497
  • DF error
    193.00000
  • t(b)
    5.65511
  • p(b)
    0.26579
  • t(a)
    0.87451
  • p(a)
    0.46003
  • Lowerbound of 95% confidence interval for beta
    1.05005
  • Upperbound of 95% confidence interval for beta
    2.17478
  • Lowerbound of 95% confidence interval for alpha
    -0.60475
  • Upperbound of 95% confidence interval for alpha
    1.56822
  • Treynor index (mean / b)
    0.41923
  • Jensen alpha (a)
    0.48174
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.04813
  • Expected Shortfall on VaR
    0.06053
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.02232
  • Expected Shortfall on VaR
    0.04324
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    195.00000
  • Minimum
    0.90454
  • Quartile 1
    0.98494
  • Median
    1.00243
  • Quartile 3
    1.01846
  • Maximum
    1.13576
  • Mean of quarter 1
    0.96481
  • Mean of quarter 2
    0.99545
  • Mean of quarter 3
    1.00897
  • Mean of quarter 4
    1.04363
  • Inter Quartile Range
    0.03352
  • Number outliers low
    2.00000
  • Percentage of outliers low
    0.01026
  • Mean of outliers low
    0.91059
  • Number of outliers high
    6.00000
  • Percentage of outliers high
    0.03077
  • Mean of outliers high
    1.08626
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    -0.14874
  • VaR(95%) (moments method)
    0.03440
  • Expected Shortfall (moments method)
    0.04327
  • Extreme Value Index (regression method)
    -0.05442
  • VaR(95%) (regression method)
    0.03604
  • Expected Shortfall (regression method)
    0.04731
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    17.00000
  • Minimum
    0.00131
  • Quartile 1
    0.02144
  • Median
    0.04828
  • Quartile 3
    0.09554
  • Maximum
    0.29977
  • Mean of quarter 1
    0.00760
  • Mean of quarter 2
    0.03261
  • Mean of quarter 3
    0.07120
  • Mean of quarter 4
    0.19938
  • Inter Quartile Range
    0.07410
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    2.00000
  • Percentage of outliers high
    0.11765
  • Mean of outliers high
    0.28363
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    0.15460
  • VaR(95%) (moments method)
    0.20185
  • Expected Shortfall (moments method)
    0.29315
  • Extreme Value Index (regression method)
    -0.10801
  • VaR(95%) (regression method)
    0.20732
  • Expected Shortfall (regression method)
    0.26087
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    0.92516
  • Compounded annual return (geometric extrapolation)
    1.02159
  • Calmar ratio (compounded annual return / max draw down)
    3.40791
  • Compounded annual return / average of 25% largest draw downs
    5.12381
  • Compounded annual return / Expected Shortfall lognormal
    16.87650
  • 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
    1.04563
  • SD
    0.50925
  • Sharpe ratio (Glass type estimate)
    2.05329
  • Sharpe ratio (Hedges UMVUE)
    2.04142
  • df
    130.00000
  • t
    1.45190
  • p
    0.43684
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.73361
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.83244
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.74147
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.82431
  • Statistics related to Sortino ratio
  • Sortino ratio
    3.45866
  • Upside Potential Ratio
    11.40590
  • Upside part of mean
    3.44827
  • Downside part of mean
    -2.40263
  • Upside SD
    0.41247
  • Downside SD
    0.30232
  • N nonnegative terms
    71.00000
  • N negative terms
    60.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.34481
  • Mean of criterion
    1.04563
  • SD of predictor
    0.11664
  • SD of criterion
    0.50925
  • Covariance
    0.02564
  • r
    0.43161
  • b (slope, estimate of beta)
    1.88443
  • a (intercept, estimate of alpha)
    0.39587
  • Mean Square Error
    0.21266
  • DF error
    129.00000
  • t(b)
    5.43433
  • p(b)
    0.23402
  • t(a)
    0.59706
  • p(a)
    0.46660
  • Lowerbound of 95% confidence interval for beta
    1.19835
  • Upperbound of 95% confidence interval for beta
    2.57051
  • Lowerbound of 95% confidence interval for alpha
    -0.91596
  • Upperbound of 95% confidence interval for alpha
    1.70770
  • Treynor index (mean / b)
    0.55488
  • Jensen alpha (a)
    0.39587
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.91693
  • SD
    0.50399
  • Sharpe ratio (Glass type estimate)
    1.81935
  • Sharpe ratio (Hedges UMVUE)
    1.80883
  • df
    130.00000
  • t
    1.28648
  • p
    0.44394
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.96465
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.59658
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.97168
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.58935
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.95290
  • Upside Potential Ratio
    10.84210
  • Upside part of mean
    3.36665
  • Downside part of mean
    -2.44973
  • Upside SD
    0.39856
  • Downside SD
    0.31052
  • N nonnegative terms
    71.00000
  • N negative terms
    60.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.33781
  • Mean of criterion
    0.91693
  • SD of predictor
    0.11647
  • SD of criterion
    0.50399
  • Covariance
    0.02500
  • r
    0.42587
  • b (slope, estimate of beta)
    1.84284
  • a (intercept, estimate of alpha)
    0.29439
  • Mean Square Error
    0.20955
  • DF error
    129.00000
  • t(b)
    5.34594
  • p(b)
    0.23732
  • t(a)
    0.44756
  • p(a)
    0.47494
  • VAR (95 Confidence Intrvl)
    0.04800
  • Lowerbound of 95% confidence interval for beta
    1.16081
  • Upperbound of 95% confidence interval for beta
    2.52487
  • Lowerbound of 95% confidence interval for alpha
    -1.00701
  • Upperbound of 95% confidence interval for alpha
    1.59580
  • Treynor index (mean / b)
    0.49756
  • Jensen alpha (a)
    0.29439
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.04659
  • Expected Shortfall on VaR
    0.05886
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.01999
  • Expected Shortfall on VaR
    0.03952
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    131.00000
  • Minimum
    0.90454
  • Quartile 1
    0.98649
  • Median
    1.00273
  • Quartile 3
    1.01509
  • Maximum
    1.13576
  • Mean of quarter 1
    0.96764
  • Mean of quarter 2
    0.99649
  • Mean of quarter 3
    1.00846
  • Mean of quarter 4
    1.04394
  • Inter Quartile Range
    0.02860
  • Number outliers low
    3.00000
  • Percentage of outliers low
    0.02290
  • Mean of outliers low
    0.92863
  • Number of outliers high
    7.00000
  • Percentage of outliers high
    0.05344
  • Mean of outliers high
    1.07940
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    -0.05741
  • VaR(95%) (moments method)
    0.03054
  • Expected Shortfall (moments method)
    0.04005
  • Extreme Value Index (regression method)
    0.06629
  • VaR(95%) (regression method)
    0.03020
  • Expected Shortfall (regression method)
    0.04168
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    11.00000
  • Minimum
    0.00400
  • Quartile 1
    0.03034
  • Median
    0.06054
  • Quartile 3
    0.08400
  • Maximum
    0.29977
  • Mean of quarter 1
    0.01215
  • Mean of quarter 2
    0.05153
  • Mean of quarter 3
    0.06663
  • Mean of quarter 4
    0.17211
  • Inter Quartile Range
    0.05366
  • 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
    0.09091
  • Mean of outliers high
    0.29977
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    0.03328
  • VaR(95%) (moments method)
    0.18249
  • Expected Shortfall (moments method)
    0.25366
  • Extreme Value Index (regression method)
    1.81150
  • VaR(95%) (regression method)
    0.33101
  • 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?
    -341152000
  • Max Equity Drawdown (num days)
    50
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    1.20773
  • Compounded annual return (geometric extrapolation)
    1.57238
  • Calmar ratio (compounded annual return / max draw down)
    5.24529
  • Compounded annual return / average of 25% largest draw downs
    9.13618
  • Compounded annual return / Expected Shortfall lognormal
    26.71580

Strategy Description

1. Seizing Opportunities, Managing Risk: The algorithm is designed to capture opportunities both in rising markets and during market downturns. By incorporating both long and short positions, it aims to optimize your investment returns while managing risk (DD) effectively.

2. Strategic Adjustments for Optimal Performance: Timing is crucial in trading, and our algorithm dynamically adjusts your investment portfolio based on real-time market signals. By adapting to changing market conditions, it seeks to position the strategy for optimal performance.

3. Informed Decision-Making for Better Results: Driven by AI technology and advanced technical indicators, the algorithm leverages data-driven insights to make informed investment decisions. By analyzing indicators such as the relative strength index (RSI), moving averages, and other advanced technical indicators, it aims to identify high-potential trades and execute them.

4. Safeguarding Your Investments: Protecting your capital is the priority. The algorithm integrates comprehensive risk management protocols, considering factors such as market volatility, asset correlations, and historical performance. By prioritizing risk management, it aims to help safeguard our capital.

5. Proven Performance, Backed by Data: The strategy has undergone rigorous backtesting and analysis, demonstrating a track record of success; of course certain years perform better than others. Through various market conditions, the algorithm has shown the potential to deliver solid returns while preserving capital. Check our historical trades in Collective2 for transparent performance metrics and historical picks/backtesting results to help you decide if you would like to invest in this algorithm.

A. Do you monitor trades full-time for the period that they are on?
Trades are closely monitored throughout their duration to promptly respond to market fluctuations.

B. Is this an Algorithm controlled/managed strategy with no manual inputs?
The trading strategy is a carefully balanced blend of advanced algorithms and human expertise. While algorithms play a crucial role in executing trades and capturing opportunities, manual inputs, oversight, and adjustments are made when needed. This combined approach allows us to benefit from the speed and precision of algorithmic trading while leveraging the human element to adapt to market dynamics and optimize performance.

C. Can you provide a summary of the methodologies used for your trading strategy so I can get a sense of what to expect?
The trading strategy incorporates a multi-faceted approach. It utilizes a combination of technical analysis, quantitative models, and machine learning algorithms. I know this is not saying much but it does exactly that. By leveraging historical market data, statistical indicators, and advanced pattern recognition techniques, potential trading opportunities are identified and executed when deemed fit. Additionally, human expertise and market insights contribute to the decision-making process, allowing the algorithm to adapt our strategies to prevailing market conditions effectively.

D. Do you have stop/loss built in?
No, our trading strategy does not rely on a built-in stop-loss mechanism. While we acknowledge the importance of risk management, extensive backtesting since 2003 has consistently shown that the drawdowns associated with our strategy are significantly smaller compared to the potential profits generated by the algorithm. This strong historical performance supports our decision not to rely on stop-loss orders. Instead, we actively manage and mitigate risks through careful monitoring, continuous evaluation, and disciplined risk management practices.

Finally, please note that past performance does not guarantee future results, and it is important to conduct your due diligence before making any investment decisions.

Summary Statistics

Strategy began
2023-07-26
Suggested Minimum Capital
$15,000
Rank at C2 %
Top 6.3%
Rank # 
#346
# Trades
81
# Profitable
44
% Profitable
54.3%
Net Dividends
Correlation S&P500
0.372
Sharpe Ratio
1.28
Sortino Ratio
2.05
Beta
1.61
Alpha
0.16
Leverage
2.86 Average
3.77 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.

Okay, gotcha.

Not available

This feature isn't available under your current Trade Leader Plan.

Want to see available plans and features?

Please hold...

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.

Continue to designate your strategy as Private?

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.