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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 06/28/2023
Most recent certification approved 7/24/23 12:18 ET
Trades at broker Israel Interactive Trading (server 3)
Scaling percentage used 100%
# trading signals issued by system since certification 76
# trading signals executed in manager's Israel Interactive Trading (server 3) account 75
Percent signals followed since 06/28/2023 98.7%
This information was last updated 3/27/24 15:31 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 06/28/2023, 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.

Consistent AlgoTrader
(143961992)

Created by: YonatanAshirov YonatanAshirov
Started: 03/2023
Stocks
Last trade: Yesterday
Trading style: Equity Momentum

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 $39.00 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
Momentum
Category: Equity

Momentum

Aims to capitalize on the continuance of existing trends in the market. Trader takes a long position in an asset in an upward trend, and short-sells a security that has been in a downward trend. While similar to Trend-following, tends to be more forward-looking (predicting oncoming trend), while Momentum is more backward-looking (observing already-established price direction).
5.3%
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.

(9.9%)
Max Drawdown
58
Num Trades
65.5%
Win Trades
1.7 : 1
Profit Factor
46.2%
Win Months
Hypothetical Monthly Returns (includes system fee and Typical Broker commissions and fees)
 JanFebMarAprMayJunJulAugSepOctNovDecYTD
2023              (0.6%)+3.4%(1.5%)+6.8%(0.1%)+3.6%(1.6%)(3.9%)+1.8%+2.9%+10.8%
2024+0.3%(0.1%)(4.9%)                                                      (4.8%)

Model Account Details

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

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

Trading Record

This strategy has placed 105 trades in real-life brokerage accounts. To see live brokerage data, select Show AutoTrade Data, and click on a Live AutoTrade Indicator symbol.

Download CSV
Long
Short
Both
Win
Loss
Both
Opened Date/TimeSymbolDescriptionSideQtyAvg PriceClosed Date/TimeAvg PriceDrawdownP/L
3/27/24 10:35 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 661 13.01 3/27 15:30 12.80 n/a $127
Includes Typical Broker Commissions trade costs of $5.00
3/15/24 11:05 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 610 14.09 3/15 15:30 14.11 2.89%
Trade id #147649481
Max drawdown($376)
Time3/15/24 13:04
Quant open610
Worst price14.71
Drawdown as % of equity-2.89%
($15)
Includes Typical Broker Commissions trade costs of $5.00
3/8/24 10:30 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 619 13.91 3/8 13:45 14.92 4.84%
Trade id #147576105
Max drawdown($649)
Time3/8/24 13:42
Quant open619
Worst price14.96
Drawdown as % of equity-4.84%
($630)
Includes Typical Broker Commissions trade costs of $5.00
3/7/24 9:55 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 615 13.99 3/7 15:30 14.14 1.32%
Trade id #147564971
Max drawdown($181)
Time3/7/24 15:00
Quant open615
Worst price14.29
Drawdown as % of equity-1.32%
($93)
Includes Typical Broker Commissions trade costs of $5.00
2/20/24 10:30 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 578 14.93 2/20 15:30 14.75 1.31%
Trade id #147378856
Max drawdown($178)
Time2/20/24 12:39
Quant open578
Worst price15.24
Drawdown as % of equity-1.31%
$102
Includes Typical Broker Commissions trade costs of $5.00
2/15/24 10:40 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 595 14.45 2/15 15:30 14.53 1.13%
Trade id #147344505
Max drawdown($155)
Time2/15/24 11:58
Quant open595
Worst price14.71
Drawdown as % of equity-1.13%
($50)
Includes Typical Broker Commissions trade costs of $5.00
1/31/24 10:50 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 575 14.93 1/31 15:30 15.02 1.32%
Trade id #147178749
Max drawdown($184)
Time1/31/24 11:44
Quant open575
Worst price15.25
Drawdown as % of equity-1.32%
($56)
Includes Typical Broker Commissions trade costs of $5.00
1/29/24 10:00 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 589 14.60 1/29 15:30 14.57 0.86%
Trade id #147148393
Max drawdown($120)
Time1/29/24 10:34
Quant open589
Worst price14.80
Drawdown as % of equity-0.86%
$13
Includes Typical Broker Commissions trade costs of $5.00
1/26/24 10:10 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 587 14.62 1/26 15:30 14.45 0.06%
Trade id #147133925
Max drawdown($8)
Time1/26/24 10:13
Quant open587
Worst price14.63
Drawdown as % of equity-0.06%
$98
Includes Typical Broker Commissions trade costs of $5.00
1/17/24 10:05 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 535 16.05 1/17 15:30 15.93 0.5%
Trade id #147026980
Max drawdown($69)
Time1/17/24 13:49
Quant open535
Worst price16.18
Drawdown as % of equity-0.50%
$59
Includes Typical Broker Commissions trade costs of $5.00
1/4/24 9:45 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 512 16.06 1/4 15:30 16.05 0.4%
Trade id #146905528
Max drawdown($55)
Time1/4/24 12:45
Quant open512
Worst price16.17
Drawdown as % of equity-0.40%
$1
Includes Typical Broker Commissions trade costs of $5.00
12/29/23 11:05 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 526 15.64 12/29 15:30 15.49 1.01%
Trade id #146843279
Max drawdown($134)
Time12/29/23 11:30
Quant open526
Worst price15.90
Drawdown as % of equity-1.01%
$77
Includes Typical Broker Commissions trade costs of $5.00
12/28/23 10:30 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 553 15.54 12/28 15:30 15.48 0.67%
Trade id #146832083
Max drawdown($88)
Time12/28/23 11:30
Quant open553
Worst price15.70
Drawdown as % of equity-0.67%
$28
Includes Typical Broker Commissions trade costs of $5.00
12/13/23 10:45 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 538 15.98 12/13 15:30 15.71 0.2%
Trade id #146681893
Max drawdown($26)
Time12/13/23 13:29
Quant open538
Worst price16.03
Drawdown as % of equity-0.20%
$140
Includes Typical Broker Commissions trade costs of $5.00
12/7/23 9:55 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 497 17.29 12/7 12:00 17.16 0.13%
Trade id #146634714
Max drawdown($17)
Time12/7/23 10:03
Quant open497
Worst price17.33
Drawdown as % of equity-0.13%
$58
Includes Typical Broker Commissions trade costs of $9.94
12/4/23 10:45 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 485 17.72 12/4 15:30 17.38 n/a $157
Includes Typical Broker Commissions trade costs of $9.70
11/22/23 10:15 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 477 18.05 11/22 15:30 18.23 1.21%
Trade id #146510543
Max drawdown($157)
Time11/22/23 14:39
Quant open477
Worst price18.38
Drawdown as % of equity-1.21%
($96)
Includes Typical Broker Commissions trade costs of $9.54
11/20/23 11:15 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 469 18.33 11/20 11:40 18.24 n/a $31
Includes Typical Broker Commissions trade costs of $9.38
11/16/23 10:50 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 453 19.00 11/16 15:30 18.91 0.83%
Trade id #146459587
Max drawdown($107)
Time11/16/23 11:38
Quant open453
Worst price19.24
Drawdown as % of equity-0.83%
$34
Includes Typical Broker Commissions trade costs of $9.06
11/14/23 11:10 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 445 19.33 11/14 15:30 19.34 0.47%
Trade id #146433271
Max drawdown($62)
Time11/14/23 11:19
Quant open445
Worst price19.47
Drawdown as % of equity-0.47%
($12)
Includes Typical Broker Commissions trade costs of $8.90
11/9/23 11:20 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN LONG 570 20.05 11/9 15:55 20.77 0.81%
Trade id #146386755
Max drawdown($102)
Time11/9/23 12:09
Quant open570
Worst price19.87
Drawdown as % of equity-0.81%
$406
Includes Typical Broker Commissions trade costs of $5.00
11/6/23 11:25 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN LONG 554 20.63 11/6 15:55 20.53 0.47%
Trade id #146347323
Max drawdown($60)
Time11/6/23 15:54
Quant open554
Worst price20.52
Drawdown as % of equity-0.47%
($58)
Includes Typical Broker Commissions trade costs of $5.00
10/25/23 10:35 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 342 25.21 10/25 15:30 26.11 3.57%
Trade id #146231042
Max drawdown($464)
Time10/25/23 13:50
Quant open342
Worst price26.57
Drawdown as % of equity-3.57%
($314)
Includes Typical Broker Commissions trade costs of $6.84
10/13/23 10:35 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 375 22.98 10/13 12:00 24.77 5.03%
Trade id #146122317
Max drawdown($700)
Time10/13/23 12:00
Quant open375
Worst price24.85
Drawdown as % of equity-5.03%
($680)
Includes Typical Broker Commissions trade costs of $7.50
10/6/23 10:25 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 347 24.77 10/6 13:10 23.35 0.13%
Trade id #146055650
Max drawdown($17)
Time10/6/23 10:28
Quant open347
Worst price24.82
Drawdown as % of equity-0.13%
$487
Includes Typical Broker Commissions trade costs of $6.94
10/5/23 10:20 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 350 24.60 10/5 14:02 24.46 2.04%
Trade id #146041280
Max drawdown($269)
Time10/5/23 12:00
Quant open350
Worst price25.37
Drawdown as % of equity-2.04%
$42
Includes Typical Broker Commissions trade costs of $7.00
9/29/23 12:15 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN LONG 509 22.49 9/29 15:46 23.13 1.07%
Trade id #145974652
Max drawdown($139)
Time9/29/23 12:22
Quant open509
Worst price22.21
Drawdown as % of equity-1.07%
$323
Includes Typical Broker Commissions trade costs of $5.00
9/21/23 9:50 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 387 22.24 9/21 15:30 22.55 1.23%
Trade id #145889749
Max drawdown($162)
Time9/21/23 15:30
Quant open387
Worst price22.66
Drawdown as % of equity-1.23%
($128)
Includes Typical Broker Commissions trade costs of $7.74
9/18/23 10:27 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 450 20.69 9/18 15:25 20.53 0.27%
Trade id #145855917
Max drawdown($36)
Time9/18/23 10:41
Quant open450
Worst price20.77
Drawdown as % of equity-0.27%
$63
Includes Typical Broker Commissions trade costs of $9.00
9/15/23 10:25 VXX IPATH SERIES B S&P 500 VIX SHORT-TERM FUTURES ETN SHORT 429 20.03 9/15 15:30 20.54 2.31%
Trade id #145836603
Max drawdown($308)
Time9/15/23 14:25
Quant open429
Worst price20.75
Drawdown as % of equity-2.31%
($227)
Includes Typical Broker Commissions trade costs of $8.58

Statistics

  • Strategy began
    3/20/2023
  • Suggested Minimum Cap
    $5,000
  • Strategy Age (days)
    374.08
  • Age
    12 months ago
  • What it trades
    Stocks
  • # Trades
    58
  • # Profitable
    38
  • % Profitable
    65.50%
  • Avg trade duration
    4.8 hours
  • Max peak-to-valley drawdown
    9.93%
  • drawdown period
    Oct 06, 2023 - March 15, 2024
  • Annual Return (Compounded)
    5.3%
  • Avg win
    $131.13
  • Avg loss
    $148.75
  • Model Account Values (Raw)
  • Cash
    $14,508
  • Margin Used
    $0
  • Buying Power
    $14,508
  • Ratios
  • W:L ratio
    1.67:1
  • Sharpe Ratio
    0.39
  • Sortino Ratio
    0.54
  • Calmar Ratio
    2.314
  • CORRELATION STATISTICS
  • Return of Strat Pcnt - Return of SP500 Pcnt (cumu)
    -27.33%
  • Correlation to SP500
    0.17440
  • Return Percent SP500 (cumu) during strategy life
    32.82%
  • Return Statistics
  • Ann Return (w trading costs)
    5.3%
  • Slump
  • Current Slump as Pcnt Equity
    8.30%
  • Instruments
  • Percent Trades Futures
    n/a
  • Slump
  • Current Slump, time of slump as pcnt of strategy life
    0.45%
  • Return Statistics
  • Return Pcnt Since TOS Status
    4.090%
  • Instruments
  • Short Options - Percent Covered
    100.00%
  • Return Statistics
  • Return Pcnt (Compound or Annual, age-based, NFA compliant)
    0.053%
  • Instruments
  • Percent Trades Options
    n/a
  • Percent Trades Stocks
    1.00%
  • Percent Trades Forex
    n/a
  • Return Statistics
  • Ann Return (Compnd, No Fees)
    15.6%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
    n/a
  • Chance of 20% account loss
    n/a
  • Chance of 30% account loss
    n/a
  • Chance of 40% account loss
    n/a
  • 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
    100.00%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 50% account loss
    n/a
  • Popularity
  • Popularity (Today)
    0
  • Popularity (Last 6 weeks)
    683
  • Trading Style
  • Any stock shorts? 0/1
    1
  • Popularity
  • C2 Score
    169
  • Popularity (7 days, Percentile 1000 scale)
    329
  • Trades-Own-System Certification
  • Trades Own System?
    Yes
  • TOS percent
    100%
  • Win / Loss
  • Avg Loss
    $149
  • Avg Win
    $131
  • Sum Trade PL (losers)
    $2,975.000
  • Age
  • Num Months filled monthly returns table
    13
  • Win / Loss
  • Sum Trade PL (winners)
    $4,983.000
  • # Winners
    38
  • Num Months Winners
    6
  • Dividends
  • Dividends Received in Model Acct
    0
  • AUM
  • AUM (AutoTrader live capital)
    14126
  • Win / Loss
  • # Losers
    20
  • % Winners
    65.5%
  • Frequency
  • Avg Position Time (mins)
    288.27
  • Avg Position Time (hrs)
    4.80
  • Avg Trade Length
    0.2 days
  • Last Trade Ago
    1
  • Leverage
  • Daily leverage (average)
    0.75
  • Daily leverage (max)
    1.51
  • Regression
  • Alpha
    0.00
  • Beta
    0.13
  • Treynor Index
    0.09
  • 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)
    0.05
  • MAE:Equity, average, winning trades
    0.01
  • MAE:Equity, average, losing trades
    0.02
  • Avg(MAE) / Avg(PL) - All trades
    6.232
  • 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
    0.05
  • Avg(MAE) / Avg(PL) - Winning trades
    0.596
  • Avg(MAE) / Avg(PL) - Losing trades
    -1.752
  • Hold-and-Hope Ratio
    0.160
  • Analysis based on MONTHLY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.11632
  • SD
    0.08777
  • Sharpe ratio (Glass type estimate)
    1.32538
  • Sharpe ratio (Hedges UMVUE)
    1.23255
  • df
    11.00000
  • t
    1.32538
  • p
    0.10596
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.73711
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.33272
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.79395
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.25906
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.16729
  • Upside Potential Ratio
    3.45808
  • Upside part of mean
    0.18560
  • Downside part of mean
    -0.06928
  • Upside SD
    0.07286
  • Downside SD
    0.05367
  • N nonnegative terms
    10.00000
  • N negative terms
    2.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    12.00000
  • Mean of predictor
    0.25936
  • Mean of criterion
    0.11632
  • SD of predictor
    0.11502
  • SD of criterion
    0.08777
  • Covariance
    0.00097
  • r
    0.09561
  • b (slope, estimate of beta)
    0.07296
  • a (intercept, estimate of alpha)
    0.09740
  • Mean Square Error
    0.00840
  • DF error
    10.00000
  • t(b)
    0.30373
  • p(b)
    0.38378
  • t(a)
    0.87908
  • p(a)
    0.19999
  • Lowerbound of 95% confidence interval for beta
    -0.46223
  • Upperbound of 95% confidence interval for beta
    0.60814
  • Lowerbound of 95% confidence interval for alpha
    -0.14947
  • Upperbound of 95% confidence interval for alpha
    0.34428
  • Treynor index (mean / b)
    1.59446
  • Jensen alpha (a)
    0.09740
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.11199
  • SD
    0.08776
  • Sharpe ratio (Glass type estimate)
    1.27611
  • Sharpe ratio (Hedges UMVUE)
    1.18673
  • df
    11.00000
  • t
    1.27611
  • p
    0.11410
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.78008
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.27898
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.83499
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.20845
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.04279
  • Upside Potential Ratio
    3.33052
  • Upside part of mean
    0.18259
  • Downside part of mean
    -0.07060
  • Upside SD
    0.07141
  • Downside SD
    0.05482
  • N nonnegative terms
    10.00000
  • N negative terms
    2.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    12.00000
  • Mean of predictor
    0.25013
  • Mean of criterion
    0.11199
  • SD of predictor
    0.11366
  • SD of criterion
    0.08776
  • Covariance
    0.00091
  • r
    0.09142
  • b (slope, estimate of beta)
    0.07059
  • a (intercept, estimate of alpha)
    0.09434
  • Mean Square Error
    0.00840
  • DF error
    10.00000
  • t(b)
    0.29031
  • p(b)
    0.38876
  • t(a)
    0.85760
  • p(a)
    0.20560
  • Lowerbound of 95% confidence interval for beta
    -0.47118
  • Upperbound of 95% confidence interval for beta
    0.61236
  • Lowerbound of 95% confidence interval for alpha
    -0.15076
  • Upperbound of 95% confidence interval for alpha
    0.33944
  • Treynor index (mean / b)
    1.58658
  • Jensen alpha (a)
    0.09434
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.03182
  • Expected Shortfall on VaR
    0.04197
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.00525
  • Expected Shortfall on VaR
    0.01482
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    12.00000
  • Minimum
    0.95218
  • Quartile 1
    1.00803
  • Median
    1.01297
  • Quartile 3
    1.02404
  • Maximum
    1.05119
  • Mean of quarter 1
    0.98035
  • Mean of quarter 2
    1.01015
  • Mean of quarter 3
    1.01857
  • Mean of quarter 4
    1.03901
  • Inter Quartile Range
    0.01601
  • Number outliers low
    2.00000
  • Percentage of outliers low
    0.16667
  • Mean of outliers low
    0.96769
  • Number of outliers high
    1.00000
  • Percentage of outliers high
    0.08333
  • Mean of outliers high
    1.05119
  • 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)
    -0.53580
  • VaR(95%) (regression method)
    0.05265
  • Expected Shortfall (regression method)
    0.06868
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    2.00000
  • Minimum
    0.01681
  • Quartile 1
    0.02456
  • Median
    0.03231
  • Quartile 3
    0.04006
  • Maximum
    0.04782
  • Mean of quarter 1
    0.01681
  • Mean of quarter 2
    0.00000
  • Mean of quarter 3
    0.00000
  • Mean of quarter 4
    0.04782
  • Inter Quartile Range
    0.01551
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    0.00000
  • Percentage of outliers high
    0.00000
  • Mean of outliers high
    0.00000
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    0.00000
  • VaR(95%) (moments method)
    0.00000
  • Expected Shortfall (moments method)
    0.00000
  • Extreme Value Index (regression method)
    0.00000
  • VaR(95%) (regression method)
    0.00000
  • Expected Shortfall (regression method)
    0.00000
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    0.15016
  • Compounded annual return (geometric extrapolation)
    0.15016
  • Calmar ratio (compounded annual return / max draw down)
    3.14026
  • Compounded annual return / average of 25% largest draw downs
    3.14026
  • Compounded annual return / Expected Shortfall lognormal
    3.57737
  • 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
    0.12318
  • SD
    0.08607
  • Sharpe ratio (Glass type estimate)
    1.43112
  • Sharpe ratio (Hedges UMVUE)
    1.42705
  • df
    264.00000
  • t
    1.43929
  • p
    0.07563
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.52285
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.38246
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.52558
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.37969
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.10973
  • Upside Potential Ratio
    6.32605
  • Upside part of mean
    0.36936
  • Downside part of mean
    -0.24618
  • Upside SD
    0.06348
  • Downside SD
    0.05839
  • N nonnegative terms
    68.00000
  • N negative terms
    197.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    265.00000
  • Mean of predictor
    0.25971
  • Mean of criterion
    0.12318
  • SD of predictor
    0.11739
  • SD of criterion
    0.08607
  • Covariance
    0.00146
  • r
    0.14403
  • b (slope, estimate of beta)
    0.10561
  • a (intercept, estimate of alpha)
    0.09600
  • Mean Square Error
    0.00728
  • DF error
    263.00000
  • t(b)
    2.36044
  • p(b)
    0.00949
  • t(a)
    1.11801
  • p(a)
    0.13229
  • Lowerbound of 95% confidence interval for beta
    0.01751
  • Upperbound of 95% confidence interval for beta
    0.19371
  • Lowerbound of 95% confidence interval for alpha
    -0.07288
  • Upperbound of 95% confidence interval for alpha
    0.26439
  • Treynor index (mean / b)
    1.16635
  • Jensen alpha (a)
    0.09575
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.11945
  • SD
    0.08612
  • Sharpe ratio (Glass type estimate)
    1.38698
  • Sharpe ratio (Hedges UMVUE)
    1.38304
  • df
    264.00000
  • t
    1.39490
  • p
    0.08211
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.56670
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.33809
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.56937
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.33544
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.02422
  • Upside Potential Ratio
    6.22497
  • Upside part of mean
    0.36733
  • Downside part of mean
    -0.24788
  • Upside SD
    0.06294
  • Downside SD
    0.05901
  • N nonnegative terms
    68.00000
  • N negative terms
    197.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    265.00000
  • Mean of predictor
    0.25271
  • Mean of criterion
    0.11945
  • SD of predictor
    0.11726
  • SD of criterion
    0.08612
  • Covariance
    0.00147
  • r
    0.14516
  • b (slope, estimate of beta)
    0.10661
  • a (intercept, estimate of alpha)
    0.09250
  • Mean Square Error
    0.00729
  • DF error
    263.00000
  • t(b)
    2.37936
  • p(b)
    0.00903
  • t(a)
    1.08020
  • p(a)
    0.14052
  • Lowerbound of 95% confidence interval for beta
    0.01839
  • Upperbound of 95% confidence interval for beta
    0.19484
  • Lowerbound of 95% confidence interval for alpha
    -0.07612
  • Upperbound of 95% confidence interval for alpha
    0.26112
  • Treynor index (mean / b)
    1.12038
  • Jensen alpha (a)
    0.09250
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.00826
  • Expected Shortfall on VaR
    0.01046
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.00271
  • Expected Shortfall on VaR
    0.00600
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    265.00000
  • Minimum
    0.97023
  • Quartile 1
    1.00000
  • Median
    1.00000
  • Quartile 3
    1.00013
  • Maximum
    1.03346
  • Mean of quarter 1
    0.99660
  • Mean of quarter 2
    1.00000
  • Mean of quarter 3
    1.00000
  • Mean of quarter 4
    1.00577
  • Inter Quartile Range
    0.00013
  • Number outliers low
    34.00000
  • Percentage of outliers low
    0.12830
  • Mean of outliers low
    0.99329
  • Number of outliers high
    65.00000
  • Percentage of outliers high
    0.24528
  • Mean of outliers high
    1.00585
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    -0.36216
  • VaR(95%) (moments method)
    0.00199
  • Expected Shortfall (moments method)
    0.00309
  • Extreme Value Index (regression method)
    0.03024
  • VaR(95%) (regression method)
    0.00315
  • Expected Shortfall (regression method)
    0.00644
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    7.00000
  • Minimum
    0.00063
  • Quartile 1
    0.00807
  • Median
    0.02113
  • Quartile 3
    0.04214
  • Maximum
    0.06861
  • Mean of quarter 1
    0.00377
  • Mean of quarter 2
    0.01518
  • Mean of quarter 3
    0.03337
  • Mean of quarter 4
    0.05976
  • Inter Quartile Range
    0.03407
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    0.00000
  • Percentage of outliers high
    0.00000
  • Mean of outliers high
    0.00000
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    0.00000
  • VaR(95%) (moments method)
    0.00000
  • Expected Shortfall (moments method)
    0.00000
  • Extreme Value Index (regression method)
    0.00000
  • VaR(95%) (regression method)
    0.00000
  • Expected Shortfall (regression method)
    0.00000
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    0.15890
  • Compounded annual return (geometric extrapolation)
    0.15876
  • Calmar ratio (compounded annual return / max draw down)
    2.31400
  • Compounded annual return / average of 25% largest draw downs
    2.65682
  • Compounded annual return / Expected Shortfall lognormal
    15.17570
  • 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
    0.02609
  • SD
    0.09762
  • Sharpe ratio (Glass type estimate)
    0.26729
  • Sharpe ratio (Hedges UMVUE)
    0.26574
  • df
    130.00000
  • t
    0.18900
  • p
    0.49171
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -2.50519
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.03880
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -2.50625
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.03774
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.36782
  • Upside Potential Ratio
    4.71017
  • Upside part of mean
    0.33415
  • Downside part of mean
    -0.30806
  • Upside SD
    0.06654
  • Downside SD
    0.07094
  • N nonnegative terms
    32.00000
  • N negative terms
    99.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.36048
  • Mean of criterion
    0.02609
  • SD of predictor
    0.11714
  • SD of criterion
    0.09762
  • Covariance
    0.00189
  • r
    0.16536
  • b (slope, estimate of beta)
    0.13781
  • a (intercept, estimate of alpha)
    -0.02358
  • Mean Square Error
    0.00934
  • DF error
    129.00000
  • t(b)
    1.90430
  • p(b)
    0.39521
  • t(a)
    -0.16947
  • p(a)
    0.50950
  • Lowerbound of 95% confidence interval for beta
    -0.00537
  • Upperbound of 95% confidence interval for beta
    0.28098
  • Lowerbound of 95% confidence interval for alpha
    -0.29890
  • Upperbound of 95% confidence interval for alpha
    0.25174
  • Treynor index (mean / b)
    0.18935
  • Jensen alpha (a)
    -0.02358
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.02135
  • SD
    0.09774
  • Sharpe ratio (Glass type estimate)
    0.21848
  • Sharpe ratio (Hedges UMVUE)
    0.21722
  • df
    130.00000
  • t
    0.15449
  • p
    0.49323
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -2.55382
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.99005
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -2.55472
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.98915
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.29752
  • Upside Potential Ratio
    4.62476
  • Upside part of mean
    0.33193
  • Downside part of mean
    -0.31058
  • Upside SD
    0.06581
  • Downside SD
    0.07177
  • N nonnegative terms
    32.00000
  • N negative terms
    99.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.35341
  • Mean of criterion
    0.02135
  • SD of predictor
    0.11700
  • SD of criterion
    0.09774
  • Covariance
    0.00189
  • r
    0.16563
  • b (slope, estimate of beta)
    0.13836
  • a (intercept, estimate of alpha)
    -0.02754
  • Mean Square Error
    0.00936
  • DF error
    129.00000
  • t(b)
    1.90751
  • p(b)
    0.39504
  • t(a)
    -0.19783
  • p(a)
    0.51109
  • VAR (95 Confidence Intrvl)
    0.00800
  • Lowerbound of 95% confidence interval for beta
    -0.00515
  • Upperbound of 95% confidence interval for beta
    0.28187
  • Lowerbound of 95% confidence interval for alpha
    -0.30300
  • Upperbound of 95% confidence interval for alpha
    0.24792
  • Treynor index (mean / b)
    0.15434
  • Jensen alpha (a)
    -0.02754
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.00980
  • Expected Shortfall on VaR
    0.01230
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.00343
  • Expected Shortfall on VaR
    0.00755
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    131.00000
  • Minimum
    0.97023
  • Quartile 1
    1.00000
  • Median
    1.00000
  • Quartile 3
    1.00000
  • Maximum
    1.03346
  • Mean of quarter 1
    0.99565
  • Mean of quarter 2
    1.00000
  • Mean of quarter 3
    1.00000
  • Mean of quarter 4
    1.00517
  • Inter Quartile Range
    0.00000
  • Number outliers low
    18.00000
  • Percentage of outliers low
    0.13740
  • Mean of outliers low
    0.99203
  • Number of outliers high
    32.00000
  • Percentage of outliers high
    0.24427
  • Mean of outliers high
    1.00533
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    -0.11436
  • VaR(95%) (moments method)
    0.00199
  • Expected Shortfall (moments method)
    0.00334
  • Extreme Value Index (regression method)
    -0.15377
  • VaR(95%) (regression method)
    0.00442
  • Expected Shortfall (regression method)
    0.00785
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    4.00000
  • Minimum
    0.00501
  • Quartile 1
    0.00643
  • Median
    0.02891
  • Quartile 3
    0.05533
  • Maximum
    0.06861
  • Mean of quarter 1
    0.00501
  • Mean of quarter 2
    0.00691
  • Mean of quarter 3
    0.05090
  • Mean of quarter 4
    0.06861
  • Inter Quartile Range
    0.04890
  • 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
    0.50%
  • Expected Shortfall (regression method)
    0.00000
  • Strat Max DD how much worse than SP500 max DD during strat life?
    -339721000
  • Max Equity Drawdown (num days)
    161
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    0.04987
  • Compounded annual return (geometric extrapolation)
    0.05049
  • Calmar ratio (compounded annual return / max draw down)
    0.73597
  • Compounded annual return / average of 25% largest draw downs
    0.73597
  • Compounded annual return / Expected Shortfall lognormal
    4.10683

Strategy Description

How can we sleep peacefully while trading in the stock market ?
Reducing volatility of our portfolio

1. No Overnight Worries: Minimize risk by trading intraday on a 5-minute chart, eliminating the dangers of leaving trades open overnight.
2. Asset Mastery: As masters of a specific asset, we enter each trade with precise knowledge and expertise.
3. Data-Driven Precision: Backed by years of historical data and hundreds of trades, every trade is supported by rigorous statistical analysis.
4. Patience is Profitable: We exercise patience, acting only when the perfect setup presents itself.
5. Low Risk, Effective Trade Management: We adapt to market conditions, managing trades dynamically with profit targets and minimal losses.

Why choose Algo Trading?
Surpassing the Limits of Human Capabilities
- Consistent 100% daily performance
- No Days Off
- No Emotional Bias
- Superior Trade Execution
- Analyzes Every Trading Bar Throughout the Day
- Free from limiting beliefs

Embrace Algo Trading for consistent success.




Summary Statistics

Strategy began
2023-03-20
Suggested Minimum Capital
$5,000
# Trades
58
# Profitable
38
% Profitable
65.5%
Correlation S&P500
0.174
Sharpe Ratio
0.39
Sortino Ratio
0.54
Beta
0.13
Alpha
0.00
Leverage
0.75 Average
1.51 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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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.