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These are hypothetical performance results that have certain inherent limitations. Learn more
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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 04/02/2023
Most recent certification approved 4/2/23 20:30 ET
Trades at broker Interactive Brokers (Europe)
Scaling percentage used 100%
# trading signals issued by system since certification 5,835
# trading signals executed in manager's Interactive Brokers (Europe) account 5,781
Percent signals followed since 04/02/2023 99.1%
This information was last updated 10/30/24 16:21 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 04/02/2023, 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.

MT3 Algotrading
(144135459)

Powered by BrokerTransmit.
Read important disclosures.

Created by: MORAVIAN MORAVIAN
Started: 03/2023
Stocks, Futures
Last trade: Today
Trading style: Equity Trend-following 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 $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.
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).
75.6%
Annual Return (Compounded)

Rate of Return Calculations

Overview

To comply with NFA regulations, we display Cumulative Rate of Return for strategies with a track record of less than one year. For strategies with longer track records, we display Annualized (Compounded) Rate of Return.

How Annualized (Compounded) Rate of Return is calculated

= ((Ending_equity / Starting_equity) ^ (1 / age_in_years)) - 1

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

All results are hypothetical.

(20.1%)
Max Drawdown
2435
Num Trades
40.3%
Win Trades
1.2 : 1
Profit Factor
65.0%
Win Months
Hypothetical Monthly Returns (includes system fee and Typical Broker commissions and fees)
 JanFebMarAprMayJunJulAugSepOctNovDecYTD
2023              (0.3%)(4.1%)(3.7%)+8.5%(7.7%)+10.9%  -  +3.7%+19.1%+13.2%+43.0%
2024+24.4%+8.9%+4.8%+4.2%+16.4%+2.3%+7.5%(5.4%)+1.8%(5.9%)            +71.8%

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 5,781 trades in real-life brokerage accounts. To see live brokerage data, select Show AutoTrade Data, and click on a Live AutoTrade Indicator symbol.

Show AutoTrade data Hide AutoTrade data
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Long
Short
Both
Win
Loss
Both
Opened Date/TimeSymbolDescriptionSideQuantAvg PriceClosed Date/TimeAvg PriceDrawdownP/L
10/29/24 10:32 META META PLATFORMS INC. CLASS A LONG 31 583.21 10/30 15:01 591.67 n/a $261
Includes Typical Broker Commissions trade costs of $0.62
10/29/24 11:00 INTU INTUIT LONG 30 622.72 10/30 14:28 622.76 0.14%
Trade id #149877813
Max drawdown($101)
Time10/29/24 11:13
Quant open30
Worst price619.35
Drawdown as % of equity-0.14%
 $0
Includes Typical Broker Commissions trade costs of $0.60
10/29/24 11:15 GOOG ALPHABET INC CLASS C LONG 109 170.84 10/30 13:01 179.28 0.14%
Trade id #149880909
Max drawdown($102)
Time10/29/24 11:56
Quant open109
Worst price169.90
Drawdown as % of equity-0.14%
 $918
Includes Typical Broker Commissions trade costs of $2.18
10/29/24 9:48 TSLA TESLA INC. SHORT 71 260.66 10/30 10:22 260.92 0.22%
Trade id #149873857
Max drawdown($163)
Time10/29/24 10:43
Quant open71
Worst price262.96
Drawdown as % of equity-0.22%
 ($20)
Includes Typical Broker Commissions trade costs of $1.42
10/28/24 10:17 AMD ADVANCED MICRO DEVICES INC. C LONG 116 158.95 10/30 9:30 151.90 0.09%
Trade id #149863799
Max drawdown($67)
Time10/28/24 11:32
Quant open116
Worst price158.36
Drawdown as % of equity-0.09%
 ($819)
Includes Typical Broker Commissions trade costs of $2.32
10/28/24 10:43 DXSZ4 MICRO-DAX INDEX LONG 1 19598 10/30 4:09 19478 0.18%
Trade id #149864226
Max drawdown($130)
Time10/30/24 4:09
Quant open1
Worst price19477
Drawdown as % of equity-0.18%
 ($131)
Includes Typical Broker Commissions trade costs of $0.80
10/28/24 21:00 @MESZ4 MICRO E-MINI S&P 500 SHORT 1 5860.33 10/29 21:23 5891.50 0.21%
Trade id #149870159
Max drawdown($155)
Time10/29/24 20:40
Quant open1
Worst price5891.50
Drawdown as % of equity-0.21%
 ($157)
Includes Typical Broker Commissions trade costs of $0.94
10/28/24 11:00 ADBE ADOBE INC SHORT 38 485.17 10/29 10:32 485.65 0.04%
Trade id #149864646
Max drawdown($30)
Time10/29/24 10:32
Quant open38
Worst price485.97
Drawdown as % of equity-0.04%
 ($19)
Includes Typical Broker Commissions trade costs of $0.76
10/28/24 9:50 TSLA TESLA INC. SHORT 69 266.74 10/28 10:20 271.37 0.45%
Trade id #149863325
Max drawdown($327)
Time10/28/24 10:20
Quant open69
Worst price271.49
Drawdown as % of equity-0.45%
 ($321)
Includes Typical Broker Commissions trade costs of $1.38
10/24/24 13:39 QCOM QUALCOMM LONG 108 168.81 10/25 15:30 170.56 0.14%
Trade id #149820902
Max drawdown($103)
Time10/24/24 15:54
Quant open108
Worst price167.85
Drawdown as % of equity-0.14%
 $187
Includes Typical Broker Commissions trade costs of $2.16
10/25/24 15:14 ADBE ADOBE INC SHORT 38 482.80 10/25 15:30 483.29 0.03%
Trade id #149843895
Max drawdown($22)
Time10/25/24 15:30
Quant open38
Worst price483.39
Drawdown as % of equity-0.03%
 ($19)
Includes Typical Broker Commissions trade costs of $0.76
10/25/24 14:12 MCD MCDONALD'S SHORT 63 292.20 10/25 15:30 293.04 0.14%
Trade id #149840533
Max drawdown($103)
Time10/25/24 14:49
Quant open63
Worst price293.85
Drawdown as % of equity-0.14%
 ($54)
Includes Typical Broker Commissions trade costs of $1.26
10/23/24 14:05 UNH UNITEDHEALTH GROUP SHORT 32 565.07 10/25 15:30 564.60 0.28%
Trade id #149810069
Max drawdown($212)
Time10/24/24 0:00
Quant open32
Worst price571.70
Drawdown as % of equity-0.28%
 $14
Includes Typical Broker Commissions trade costs of $0.64
10/25/24 11:11 NVDA NVIDIA LONG 128 143.77 10/25 15:30 141.93 0.49%
Trade id #149831918
Max drawdown($362)
Time10/25/24 14:10
Quant open128
Worst price140.94
Drawdown as % of equity-0.49%
 ($239)
Includes Typical Broker Commissions trade costs of $2.56
10/25/24 10:30 META META PLATFORMS INC. CLASS A LONG 31 579.32 10/25 15:30 573.90 0.24%
Trade id #149831425
Max drawdown($178)
Time10/25/24 15:24
Quant open31
Worst price573.55
Drawdown as % of equity-0.24%
 ($169)
Includes Typical Broker Commissions trade costs of $0.62
10/24/24 12:46 TSLA TESLA INC. LONG 71 255.95 10/25 15:30 267.49 0.06%
Trade id #149820402
Max drawdown($45)
Time10/25/24 9:30
Quant open71
Worst price255.32
Drawdown as % of equity-0.06%
 $818
Includes Typical Broker Commissions trade costs of $1.42
10/25/24 6:00 @M2KZ4 MICRO E-MINI RUSSELL 2000 SHORT 1 2241.90 10/25 15:00 2224.67 0.07%
Trade id #149825743
Max drawdown($51)
Time10/25/24 10:29
Quant open1
Worst price2252.30
Drawdown as % of equity-0.07%
 $85
Includes Typical Broker Commissions trade costs of $0.94
10/24/24 21:18 @MESZ4 MICRO E-MINI S&P 500 LONG 1 5854.00 10/25 15:00 5856.23 0.13%
Trade id #149824083
Max drawdown($95)
Time10/25/24 14:10
Quant open1
Worst price5835.00
Drawdown as % of equity-0.13%
 $10
Includes Typical Broker Commissions trade costs of $0.94
10/25/24 9:30 @MNQZ4 MICRO E-MINI NASDAQ 100 LONG 2 20520.93 10/25 13:41 20513.05 0.06%
Trade id #149829463
Max drawdown($42)
Time10/25/24 13:41
Quant open2
Worst price20510.20
Drawdown as % of equity-0.06%
 ($34)
Includes Typical Broker Commissions trade costs of $1.88
10/22/24 11:22 ADBE ADOBE INC SHORT 36 491.22 10/25 10:35 488.26 0.15%
Trade id #149793237
Max drawdown($115)
Time10/22/24 14:06
Quant open36
Worst price494.41
Drawdown as % of equity-0.15%
 $105
Includes Typical Broker Commissions trade costs of $0.72
10/23/24 10:21 MCD MCDONALD'S LONG 60 298.91 10/25 10:21 297.64 0.3%
Trade id #149805654
Max drawdown($227)
Time10/23/24 12:09
Quant open60
Worst price295.12
Drawdown as % of equity-0.30%
 ($77)
Includes Typical Broker Commissions trade costs of $1.20
10/24/24 13:36 JPM JPMORGAN CHASE LONG 82 223.98 10/25 9:35 223.86 0.07%
Trade id #149820863
Max drawdown($51)
Time10/24/24 14:00
Quant open82
Worst price223.35
Drawdown as % of equity-0.07%
 ($11)
Includes Typical Broker Commissions trade costs of $1.64
10/24/24 18:00 @M2KZ4 MICRO E-MINI RUSSELL 2000 LONG 1 2233.37 10/25 6:00 2241.97 0.03%
Trade id #149823369
Max drawdown($24)
Time10/25/24 1:07
Quant open1
Worst price2228.50
Drawdown as % of equity-0.03%
 $42
Includes Typical Broker Commissions trade costs of $0.94
10/23/24 20:17 @MESZ4 MICRO E-MINI S&P 500 SHORT 1 5840.50 10/24 21:18 5854.00 0.19%
Trade id #149812949
Max drawdown($147)
Time10/24/24 0:00
Quant open1
Worst price5870.00
Drawdown as % of equity-0.19%
 ($69)
Includes Typical Broker Commissions trade costs of $0.94
10/24/24 9:14 DXSZ4 MICRO-DAX INDEX LONG 1 19658 10/24 11:47 19537 0.18%
Trade id #149816531
Max drawdown($134)
Time10/24/24 11:47
Quant open1
Worst price19534
Drawdown as % of equity-0.18%
 ($132)
Includes Typical Broker Commissions trade costs of $0.80
10/23/24 10:01 TSLA TESLA INC. SHORT 83 216.57 10/24 9:30 245.26 3.19%
Trade id #149804333
Max drawdown($2,421)
Time10/24/24 9:30
Quant open83
Worst price245.75
Drawdown as % of equity-3.19%
 ($2,383)
Includes Typical Broker Commissions trade costs of $1.66
10/22/24 18:00 @M2KZ4 MICRO E-MINI RUSSELL 2000 LONG 1 2243.86 10/23 15:00 2218.69 0.25%
Trade id #149800449
Max drawdown($186)
Time10/23/24 14:19
Quant open1
Worst price2206.60
Drawdown as % of equity-0.25%
 ($127)
Includes Typical Broker Commissions trade costs of $0.94
10/23/24 9:50 DXSZ4 MICRO-DAX INDEX LONG 1 19554 10/23 14:04 19436 0.17%
Trade id #149804163
Max drawdown($128)
Time10/23/24 14:04
Quant open1
Worst price19435
Drawdown as % of equity-0.17%
 ($128)
Includes Typical Broker Commissions trade costs of $0.80
10/22/24 13:34 QCOM QUALCOMM LONG 105 171.57 10/23 13:35 165.83 0.82%
Trade id #149797917
Max drawdown($620)
Time10/23/24 13:35
Quant open105
Worst price165.66
Drawdown as % of equity-0.82%
 ($604)
Includes Typical Broker Commissions trade costs of $2.10
10/21/24 20:00 @MESZ4 MICRO E-MINI S&P 500 SHORT 1 5894.17 10/23 13:02 5834.76 0.07%
Trade id #149776274
Max drawdown($50)
Time10/22/24 0:00
Quant open1
Worst price5904.25
Drawdown as % of equity-0.07%
 $296
Includes Typical Broker Commissions trade costs of $0.94
Next

Statistics

  • Strategy began
    3/31/2023
  • Suggested Minimum Cap
    $70,000
  • Strategy Age (days)
    579.04
  • Age
    19 months ago
  • What it trades
    Stocks, Futures
  • # Trades
    2435
  • # Profitable
    982
  • % Profitable
    40.30%
  • Avg trade duration
    1.6 days
  • Max peak-to-valley drawdown
    20.1%
  • drawdown period
    July 18, 2023 - Aug 16, 2023
  • Annual Return (Compounded)
    75.6%
  • Avg win
    $252.44
  • Avg loss
    $137.78
  • Model Account Values (Raw)
  • Cash
    $68,581
  • Margin Used
    $30,779
  • Buying Power
    $38,253
  • Ratios
  • W:L ratio
    1.24:1
  • Sharpe Ratio
    1.51
  • Sortino Ratio
    2.66
  • Calmar Ratio
    4.472
  • CORRELATION STATISTICS
  • Return of Strat Pcnt - Return of SP500 Pcnt (cumu)
    104.22%
  • Correlation to SP500
    0.37500
  • Return Percent SP500 (cumu) during strategy life
    42.11%
  • Verified
  • C2Star
    0
  • Return Statistics
  • Ann Return (w trading costs)
    75.6%
  • Slump
  • Current Slump as Pcnt Equity
    14.30%
  • Instruments
  • Percent Trades Futures
    0.50%
  • Slump
  • Current Slump, time of slump as pcnt of strategy life
    0.20%
  • Instruments
  • Short Options - Percent Covered
    100.00%
  • Return Statistics
  • Return Pcnt Since TOS Status
    n/a
  • Return Pcnt (Compound or Annual, age-based, NFA compliant)
    0.756%
  • Instruments
  • Percent Trades Options
    n/a
  • Percent Trades Stocks
    0.50%
  • Percent Trades Forex
    n/a
  • Return Statistics
  • Ann Return (Compnd, No Fees)
    83.2%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
    23.50%
  • Chance of 20% account loss
    7.00%
  • Chance of 30% account loss
    0.50%
  • 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
  • Chance of 100% 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)
    980
  • Popularity (Last 6 weeks)
    997
  • Trading Style
  • Any stock shorts? 0/1
    1
  • Popularity
  • C2 Score
    469
  • Popularity (7 days, Percentile 1000 scale)
    993
  • Trades-Own-System Certification
  • Trades Own System?
    Yes
  • TOS percent
    100%
  • Win / Loss
  • Avg Loss
    $138
  • Avg Win
    $252
  • Sum Trade PL (losers)
    $200,198.000
  • Age
  • Num Months filled monthly returns table
    20
  • Win / Loss
  • Sum Trade PL (winners)
    $247,900.000
  • # Winners
    982
  • Num Months Winners
    14
  • Dividends
  • Dividends Received in Model Acct
    827
  • AUM
  • AUM (AutoTrader live capital)
    3038930
  • Win / Loss
  • # Losers
    1453
  • % Winners
    40.3%
  • Frequency
  • Avg Position Time (mins)
    2287.08
  • Avg Position Time (hrs)
    38.12
  • Avg Trade Length
    1.6 days
  • Last Trade Ago
    0
  • Leverage
  • Daily leverage (average)
    3.34
  • Daily leverage (max)
    14.75
  • Regression
  • Alpha
    0.11
  • Beta
    1.05
  • Treynor Index
    0.16
  • Maximum Adverse Excursion (MAE)
  • MAE:Equity, average, all trades
    0.00
  • MAE:PL - worst single value for strategy
    -
  • MAE:PL (avg, winning trades)
    -
  • MAE:PL (avg, losing trades)
    -
  • MAE:PL (avg, all trades)
    -0.38
  • MAE:Equity, average, winning trades
    0.00
  • MAE:Equity, average, losing trades
    0.00
  • Avg(MAE) / Avg(PL) - All trades
    3.045
  • 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
    0.179
  • Avg(MAE) / Avg(PL) - Losing trades
    -0.866
  • Hold-and-Hope Ratio
    0.333
  • Analysis based on MONTHLY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.69698
  • SD
    0.29004
  • Sharpe ratio (Glass type estimate)
    2.40304
  • Sharpe ratio (Hedges UMVUE)
    2.29518
  • df
    17.00000
  • t
    2.94312
  • p
    0.15215
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.58513
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.16475
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.51862
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.07173
  • Statistics related to Sortino ratio
  • Sortino ratio
    8.07621
  • Upside Potential Ratio
    9.64537
  • Upside part of mean
    0.83240
  • Downside part of mean
    -0.13542
  • Upside SD
    0.33539
  • Downside SD
    0.08630
  • N nonnegative terms
    13.00000
  • N negative terms
    5.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    18.00000
  • Mean of predictor
    0.19982
  • Mean of criterion
    0.69698
  • SD of predictor
    0.11809
  • SD of criterion
    0.29004
  • Covariance
    0.00976
  • r
    0.28503
  • b (slope, estimate of beta)
    0.70007
  • a (intercept, estimate of alpha)
    0.55710
  • Mean Square Error
    0.08212
  • DF error
    16.00000
  • t(b)
    1.18945
  • p(b)
    0.35749
  • t(a)
    2.12735
  • p(a)
    0.26522
  • Lowerbound of 95% confidence interval for beta
    -0.54763
  • Upperbound of 95% confidence interval for beta
    1.94776
  • Lowerbound of 95% confidence interval for alpha
    0.00195
  • Upperbound of 95% confidence interval for alpha
    1.11224
  • Treynor index (mean / b)
    0.99559
  • Jensen alpha (a)
    0.55710
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.64071
  • SD
    0.27314
  • Sharpe ratio (Glass type estimate)
    2.34576
  • Sharpe ratio (Hedges UMVUE)
    2.24046
  • df
    17.00000
  • t
    2.87296
  • p
    0.15698
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.53672
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.09939
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.47182
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.00911
  • Statistics related to Sortino ratio
  • Sortino ratio
    7.20012
  • Upside Potential Ratio
    8.76190
  • Upside part of mean
    0.77969
  • Downside part of mean
    -0.13898
  • Upside SD
    0.31105
  • Downside SD
    0.08899
  • N nonnegative terms
    13.00000
  • N negative terms
    5.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    18.00000
  • Mean of predictor
    0.19135
  • Mean of criterion
    0.64071
  • SD of predictor
    0.11625
  • SD of criterion
    0.27314
  • Covariance
    0.00882
  • r
    0.27783
  • b (slope, estimate of beta)
    0.65280
  • a (intercept, estimate of alpha)
    0.51580
  • Mean Square Error
    0.07315
  • DF error
    16.00000
  • t(b)
    1.15687
  • p(b)
    0.36108
  • t(a)
    2.09836
  • p(a)
    0.26772
  • Lowerbound of 95% confidence interval for beta
    -0.54342
  • Upperbound of 95% confidence interval for beta
    1.84901
  • Lowerbound of 95% confidence interval for alpha
    -0.00530
  • Upperbound of 95% confidence interval for alpha
    1.03690
  • Treynor index (mean / b)
    0.98149
  • Jensen alpha (a)
    0.51580
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.07346
  • Expected Shortfall on VaR
    0.10311
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.01701
  • Expected Shortfall on VaR
    0.03833
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    18.00000
  • Minimum
    0.92327
  • Quartile 1
    0.99435
  • Median
    1.06463
  • Quartile 3
    1.12286
  • Maximum
    1.23315
  • Mean of quarter 1
    0.96170
  • Mean of quarter 2
    1.02506
  • Mean of quarter 3
    1.09725
  • Mean of quarter 4
    1.15792
  • Inter Quartile Range
    0.12851
  • 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)
    -0.31682
  • VaR(95%) (moments method)
    0.03250
  • Expected Shortfall (moments method)
    0.04107
  • Extreme Value Index (regression method)
    0.06319
  • VaR(95%) (regression method)
    0.05521
  • Expected Shortfall (regression method)
    0.08516
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    4.00000
  • Minimum
    0.01098
  • Quartile 1
    0.03954
  • Median
    0.05160
  • Quartile 3
    0.05978
  • Maximum
    0.07674
  • Mean of quarter 1
    0.01098
  • Mean of quarter 2
    0.04906
  • Mean of quarter 3
    0.05413
  • Mean of quarter 4
    0.07674
  • Inter Quartile Range
    0.02024
  • 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)
    1.15084
  • Compounded annual return (geometric extrapolation)
    0.95154
  • Calmar ratio (compounded annual return / max draw down)
    12.40030
  • Compounded annual return / average of 25% largest draw downs
    12.40030
  • Compounded annual return / Expected Shortfall lognormal
    9.22825
  • 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
    0.63907
  • SD
    0.32396
  • Sharpe ratio (Glass type estimate)
    1.97268
  • Sharpe ratio (Hedges UMVUE)
    1.96908
  • df
    412.00000
  • t
    2.47674
  • p
    0.00683
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.40465
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.53840
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.40223
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.53594
  • Statistics related to Sortino ratio
  • Sortino ratio
    3.49664
  • Upside Potential Ratio
    11.15340
  • Upside part of mean
    2.03846
  • Downside part of mean
    -1.39939
  • Upside SD
    0.26991
  • Downside SD
    0.18277
  • N nonnegative terms
    210.00000
  • N negative terms
    203.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    413.00000
  • Mean of predictor
    0.19957
  • Mean of criterion
    0.63907
  • SD of predictor
    0.12039
  • SD of criterion
    0.32396
  • Covariance
    0.01497
  • r
    0.38393
  • b (slope, estimate of beta)
    1.03312
  • a (intercept, estimate of alpha)
    0.43300
  • Mean Square Error
    0.08970
  • DF error
    411.00000
  • t(b)
    8.42940
  • p(b)
    -0.00000
  • t(a)
    1.80527
  • p(a)
    0.03588
  • Lowerbound of 95% confidence interval for beta
    0.79219
  • Upperbound of 95% confidence interval for beta
    1.27405
  • Lowerbound of 95% confidence interval for alpha
    -0.03848
  • Upperbound of 95% confidence interval for alpha
    0.90427
  • Treynor index (mean / b)
    0.61858
  • Jensen alpha (a)
    0.43289
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.58683
  • SD
    0.31997
  • Sharpe ratio (Glass type estimate)
    1.83401
  • Sharpe ratio (Hedges UMVUE)
    1.83066
  • df
    412.00000
  • t
    2.30263
  • p
    0.01090
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.26684
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.39902
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.26460
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.39673
  • Statistics related to Sortino ratio
  • Sortino ratio
    3.15151
  • Upside Potential Ratio
    10.75790
  • Upside part of mean
    2.00319
  • Downside part of mean
    -1.41636
  • Upside SD
    0.26225
  • Downside SD
    0.18621
  • N nonnegative terms
    210.00000
  • N negative terms
    203.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    413.00000
  • Mean of predictor
    0.19224
  • Mean of criterion
    0.58683
  • SD of predictor
    0.12040
  • SD of criterion
    0.31997
  • Covariance
    0.01474
  • r
    0.38252
  • b (slope, estimate of beta)
    1.01654
  • a (intercept, estimate of alpha)
    0.39141
  • Mean Square Error
    0.08761
  • DF error
    411.00000
  • t(b)
    8.39317
  • p(b)
    -0.00000
  • t(a)
    1.65219
  • p(a)
    0.04963
  • Lowerbound of 95% confidence interval for beta
    0.77846
  • Upperbound of 95% confidence interval for beta
    1.25462
  • Lowerbound of 95% confidence interval for alpha
    -0.07428
  • Upperbound of 95% confidence interval for alpha
    0.85710
  • Treynor index (mean / b)
    0.57728
  • Jensen alpha (a)
    0.39141
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.02982
  • Expected Shortfall on VaR
    0.03778
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.01214
  • Expected Shortfall on VaR
    0.02418
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    413.00000
  • Minimum
    0.93541
  • Quartile 1
    0.99341
  • Median
    1.00029
  • Quartile 3
    1.00930
  • Maximum
    1.13268
  • Mean of quarter 1
    0.98206
  • Mean of quarter 2
    0.99692
  • Mean of quarter 3
    1.00459
  • Mean of quarter 4
    1.02682
  • Inter Quartile Range
    0.01588
  • Number outliers low
    16.00000
  • Percentage of outliers low
    0.03874
  • Mean of outliers low
    0.95592
  • Number of outliers high
    28.00000
  • Percentage of outliers high
    0.06780
  • Mean of outliers high
    1.05155
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    0.38186
  • VaR(95%) (moments method)
    0.01845
  • Expected Shortfall (moments method)
    0.03442
  • Extreme Value Index (regression method)
    0.23883
  • VaR(95%) (regression method)
    0.01582
  • Expected Shortfall (regression method)
    0.02487
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    32.00000
  • Minimum
    0.00124
  • Quartile 1
    0.00524
  • Median
    0.01799
  • Quartile 3
    0.05277
  • Maximum
    0.18988
  • Mean of quarter 1
    0.00355
  • Mean of quarter 2
    0.01157
  • Mean of quarter 3
    0.03487
  • Mean of quarter 4
    0.11210
  • Inter Quartile Range
    0.04753
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    3.00000
  • Percentage of outliers high
    0.09375
  • Mean of outliers high
    0.16053
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    -0.81462
  • VaR(95%) (moments method)
    0.11545
  • Expected Shortfall (moments method)
    0.12751
  • Extreme Value Index (regression method)
    -0.24997
  • VaR(95%) (regression method)
    0.13414
  • Expected Shortfall (regression method)
    0.16773
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    1.03747
  • Compounded annual return (geometric extrapolation)
    0.84917
  • Calmar ratio (compounded annual return / max draw down)
    4.47204
  • Compounded annual return / average of 25% largest draw downs
    7.57499
  • Compounded annual return / Expected Shortfall lognormal
    22.47860
  • 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
    0.31550
  • SD
    0.16507
  • Sharpe ratio (Glass type estimate)
    1.91131
  • Sharpe ratio (Hedges UMVUE)
    1.90026
  • df
    130.00000
  • t
    1.35150
  • p
    0.44115
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.87373
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.68921
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.88115
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.68168
  • Statistics related to Sortino ratio
  • Sortino ratio
    3.50590
  • Upside Potential Ratio
    13.10160
  • Upside part of mean
    1.17902
  • Downside part of mean
    -0.86352
  • Upside SD
    0.13900
  • Downside SD
    0.08999
  • N nonnegative terms
    61.00000
  • N negative terms
    70.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.26787
  • Mean of criterion
    0.31550
  • SD of predictor
    0.12801
  • SD of criterion
    0.16507
  • Covariance
    0.00530
  • r
    0.25088
  • b (slope, estimate of beta)
    0.32351
  • a (intercept, estimate of alpha)
    0.22884
  • Mean Square Error
    0.02573
  • DF error
    129.00000
  • t(b)
    2.94356
  • p(b)
    0.34198
  • t(a)
    1.00038
  • p(a)
    0.44422
  • Lowerbound of 95% confidence interval for beta
    0.10606
  • Upperbound of 95% confidence interval for beta
    0.54095
  • Lowerbound of 95% confidence interval for alpha
    -0.22375
  • Upperbound of 95% confidence interval for alpha
    0.68144
  • Treynor index (mean / b)
    0.97525
  • Jensen alpha (a)
    0.22884
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.30187
  • SD
    0.16411
  • Sharpe ratio (Glass type estimate)
    1.83950
  • Sharpe ratio (Hedges UMVUE)
    1.82887
  • df
    130.00000
  • t
    1.30072
  • p
    0.44333
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.94470
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.61680
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.95184
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.60957
  • Statistics related to Sortino ratio
  • Sortino ratio
    3.33413
  • Upside Potential Ratio
    12.91570
  • Upside part of mean
    1.16939
  • Downside part of mean
    -0.86752
  • Upside SD
    0.13739
  • Downside SD
    0.09054
  • N nonnegative terms
    61.00000
  • N negative terms
    70.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.25956
  • Mean of criterion
    0.30187
  • SD of predictor
    0.12824
  • SD of criterion
    0.16411
  • Covariance
    0.00529
  • r
    0.25124
  • b (slope, estimate of beta)
    0.32151
  • a (intercept, estimate of alpha)
    0.21842
  • Mean Square Error
    0.02543
  • DF error
    129.00000
  • t(b)
    2.94810
  • p(b)
    0.34175
  • t(a)
    0.96104
  • p(a)
    0.44639
  • VAR (95 Confidence Intrvl)
    0.03000
  • Lowerbound of 95% confidence interval for beta
    0.10574
  • Upperbound of 95% confidence interval for beta
    0.53729
  • Lowerbound of 95% confidence interval for alpha
    -0.23125
  • Upperbound of 95% confidence interval for alpha
    0.66809
  • Treynor index (mean / b)
    0.93891
  • Jensen alpha (a)
    0.21842
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.01540
  • Expected Shortfall on VaR
    0.01956
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.00799
  • Expected Shortfall on VaR
    0.01366
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    131.00000
  • Minimum
    0.97700
  • Quartile 1
    0.99439
  • Median
    0.99931
  • Quartile 3
    1.00703
  • Maximum
    1.04066
  • Mean of quarter 1
    0.99041
  • Mean of quarter 2
    0.99677
  • Mean of quarter 3
    1.00337
  • Mean of quarter 4
    1.01475
  • Inter Quartile Range
    0.01264
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    4.00000
  • Percentage of outliers high
    0.03053
  • Mean of outliers high
    1.03336
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    0.09036
  • VaR(95%) (moments method)
    0.01021
  • Expected Shortfall (moments method)
    0.01361
  • Extreme Value Index (regression method)
    0.27851
  • VaR(95%) (regression method)
    0.00947
  • Expected Shortfall (regression method)
    0.01356
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    9.00000
  • Minimum
    0.00124
  • Quartile 1
    0.00391
  • Median
    0.01759
  • Quartile 3
    0.03240
  • Maximum
    0.09922
  • Mean of quarter 1
    0.00288
  • Mean of quarter 2
    0.01405
  • Mean of quarter 3
    0.02560
  • Mean of quarter 4
    0.07126
  • Inter Quartile Range
    0.02849
  • 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
    0.11111
  • Mean of outliers high
    0.09922
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    -0.24061
  • VaR(95%) (moments method)
    0.06790
  • Expected Shortfall (moments method)
    0.08385
  • Extreme Value Index (regression method)
    1.35753
  • VaR(95%) (regression method)
    0.12867
  • 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?
    -333508000
  • Max Equity Drawdown (num days)
    29
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    0.35853
  • Compounded annual return (geometric extrapolation)
    0.39066
  • Calmar ratio (compounded annual return / max draw down)
    3.93738
  • Compounded annual return / average of 25% largest draw downs
    5.48197
  • Compounded annual return / Expected Shortfall lognormal
    19.97280

Strategy Description

Our MT-3 algorithmic trading system is a trading system based on more than 200 algo trading models. Each model is created for specific futures, stocks and their timeframe including LONG and SHORT trades. Each trade always includes a stop loss. The strategy works with futures such as MNQ, MES, MGC, MCL, DXS, MYM, BD and highly capitalized stocks.

Our MT-3 algorithmic trading system has an excellent risk/reward ratio. We focus on making sure our system does not lose money rather than making money, although the performance of the system is not bad.

Our MT-3 Algorithmic trading's platform setup includes Multicharts and TWS (Interactive Brokers) running on the Contabo platform in St. Louis, USA 24 hours a day, 7 days a week.

Our MT-3 algorithmic trading system is tradable from USD 30,000 for stocks.

More at https://www.moraviantech.com/trading-systems/mt-3

About Moravian Technologies
We at Moravian Technologies craft spectacular trading systems that work. We also take care of operations of automated trading systems on client SMAs, provide consulting services in business development, trading and software development and we develop custom trading software ourselves.

https://www.moraviantech.com
Trade this strategy at Interactive Brokers

Summary Statistics

Strategy began
2023-03-31
Suggested Minimum Capital
$70,000
# Trades
2435
# Profitable
982
% Profitable
40.3%
Net Dividends
$826
Correlation S&P500
0.375
Sharpe Ratio
1.51
Sortino Ratio
2.66
Beta
1.05
Alpha
0.11
Leverage
3.34 Average
14.75 Maximum
Summary
Higher leverage = greater risk.

More information about leverage

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

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

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

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

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

Latest Activity

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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.