Collective2 Collective2
Featured Strategy Quant AI pro Followed by live capital $114,000 Hypothetical

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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 6,485
# trading signals executed in manager's Interactive Brokers (Europe) account 6,428
Percent signals followed since 04/02/2023 99.1%
This information was last updated 12/26/24 19:59 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).
79.0%
Annual Return (Compounded)

Rate of Return Calculations

Overview

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

How Annualized (Compounded) Rate of Return is calculated

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

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

All results are hypothetical.

(20.1%)
Max Drawdown
2745
Num Trades
40.8%
Win Trades
1.3 : 1
Profit Factor
68.2%
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%(6%)+8.1%+4.5%+94.0%

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 6,428 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
12/26/24 6:00 @M2KH5 MICRO E-MINI RUSSELL 2000 SHORT 1 2268.35 12/26 18:09 2299.43 0.22%
Trade id #150410621
Max drawdown($182)
Time12/26/24 15:56
Quant open1
Worst price2304.80
Drawdown as % of equity-0.22%
 ($156)
Includes Typical Broker Commissions trade costs of $0.94
12/23/24 11:06 NVDA NVIDIA LONG 96 137.42 12/26 9:53 138.59 0.07%
Trade id #150390819
Max drawdown($54)
Time12/23/24 11:33
Quant open96
Worst price136.85
Drawdown as % of equity-0.07%
 $110
Includes Typical Broker Commissions trade costs of $1.92
12/23/24 11:09 TSLA TESLA INC. LONG 30 432.80 12/26 9:50 455.43 0.26%
Trade id #150390858
Max drawdown($206)
Time12/23/24 15:22
Quant open30
Worst price425.90
Drawdown as % of equity-0.26%
 $678
Includes Typical Broker Commissions trade costs of $0.60
12/23/24 10:55 AMZN AMAZON.COM LONG 58 225.45 12/26 9:49 227.57 0.07%
Trade id #150390637
Max drawdown($52)
Time12/23/24 16:00
Quant open58
Worst price224.55
Drawdown as % of equity-0.07%
 $122
Includes Typical Broker Commissions trade costs of $1.16
12/22/24 21:00 @MESH5 MICRO E-MINI S&P 500 LONG 2 6030.40 12/23 20:14 6032.25 0.38%
Trade id #150386282
Max drawdown($300)
Time12/23/24 10:11
Quant open1
Worst price5965.00
Drawdown as % of equity-0.38%
 $16
Includes Typical Broker Commissions trade costs of $1.88
12/20/24 10:32 @MNQH5 MICRO E-MINI NASDAQ 100 LONG 1 21519.09 12/20 15:35 21581.38 0.1%
Trade id #150375405
Max drawdown($76)
Time12/20/24 10:35
Quant open1
Worst price21481.00
Drawdown as % of equity-0.10%
 $124
Includes Typical Broker Commissions trade costs of $0.94
12/20/24 10:29 BKNG BOOKING HOLDINGS INC. COMMON STOCK LONG 2 5019.03 12/20 15:30 5063.21 0.02%
Trade id #150375317
Max drawdown($14)
Time12/20/24 10:40
Quant open2
Worst price5012.00
Drawdown as % of equity-0.02%
 $88
Includes Typical Broker Commissions trade costs of $0.04
12/20/24 10:15 SAP SAP AE LONG 52 245.21 12/20 15:30 248.49 0.01%
Trade id #150375129
Max drawdown($9)
Time12/20/24 10:23
Quant open52
Worst price245.03
Drawdown as % of equity-0.01%
 $170
Includes Typical Broker Commissions trade costs of $1.04
12/20/24 10:02 NOW SERVICENOW LONG 11 1072.49 12/20 15:30 1088.71 n/a $178
Includes Typical Broker Commissions trade costs of $0.22
12/20/24 12:09 APP APPLOVIN CORPORATION CLASS A LONG 4 341.56 12/20 15:30 341.45 0.03%
Trade id #150377391
Max drawdown($21)
Time12/20/24 13:29
Quant open4
Worst price336.08
Drawdown as % of equity-0.03%
 $0
Includes Typical Broker Commissions trade costs of $0.08
12/20/24 10:25 ISRG INTUITIVE SURGICAL LONG 24 522.42 12/20 15:30 526.37 n/a $95
Includes Typical Broker Commissions trade costs of $0.48
12/20/24 10:01 KKR KKR & CO INC LONG 88 144.52 12/20 15:30 148.00 0.07%
Trade id #150374878
Max drawdown($53)
Time12/20/24 10:10
Quant open88
Worst price143.92
Drawdown as % of equity-0.07%
 $304
Includes Typical Broker Commissions trade costs of $1.76
12/20/24 11:29 BN BROOKFIELD CORP LONG 40 56.57 12/20 15:30 56.15 0.02%
Trade id #150376257
Max drawdown($18)
Time12/20/24 15:30
Quant open40
Worst price56.10
Drawdown as % of equity-0.02%
 ($18)
Includes Typical Broker Commissions trade costs of $0.80
12/20/24 10:30 META META PLATFORMS INC. CLASS A LONG 20 597.91 12/20 15:30 595.72 0.08%
Trade id #150375339
Max drawdown($62)
Time12/20/24 15:30
Quant open20
Worst price594.80
Drawdown as % of equity-0.08%
 ($44)
Includes Typical Broker Commissions trade costs of $0.40
12/20/24 10:05 TSLA TESLA INC. LONG 29 428.76 12/20 15:30 435.41 0.08%
Trade id #150374938
Max drawdown($59)
Time12/20/24 10:10
Quant open29
Worst price426.70
Drawdown as % of equity-0.08%
 $192
Includes Typical Broker Commissions trade costs of $0.58
12/20/24 9:45 AMZN AMAZON.COM LONG 57 220.90 12/20 15:30 224.49 0.15%
Trade id #150374632
Max drawdown($116)
Time12/20/24 9:51
Quant open57
Worst price218.86
Drawdown as % of equity-0.15%
 $203
Includes Typical Broker Commissions trade costs of $1.14
12/19/24 10:00 AXP AMERICAN EXPRESS LONG 43 294.78 12/20 15:30 300.51 0.2%
Trade id #150364093
Max drawdown($154)
Time12/19/24 10:23
Quant open43
Worst price291.20
Drawdown as % of equity-0.20%
 $245
Includes Typical Broker Commissions trade costs of $0.86
12/20/24 9:55 NVDA NVIDIA LONG 98 129.70 12/20 15:30 133.94 0.04%
Trade id #150374783
Max drawdown($32)
Time12/20/24 9:58
Quant open98
Worst price129.36
Drawdown as % of equity-0.04%
 $414
Includes Typical Broker Commissions trade costs of $1.96
12/20/24 9:45 PLTR PALANTIR TECHNOLOGIES INC. CLASS A LONG 173 73.31 12/20 15:30 78.87 0.13%
Trade id #150374625
Max drawdown($99)
Time12/20/24 9:50
Quant open173
Worst price72.74
Drawdown as % of equity-0.13%
 $959
Includes Typical Broker Commissions trade costs of $3.46
12/19/24 18:00 @M2KH5 MICRO E-MINI RUSSELL 2000 LONG 1 2247.30 12/20 15:00 2278.13 0.23%
Trade id #150370244
Max drawdown($179)
Time12/20/24 6:25
Quant open1
Worst price2211.50
Drawdown as % of equity-0.23%
 $153
Includes Typical Broker Commissions trade costs of $0.94
12/20/24 7:00 QMGCG5 E-Micro Gold LONG 1 2618.4 12/20 15:00 2647.9 0.06%
Trade id #150373302
Max drawdown($47)
Time12/20/24 8:30
Quant open1
Worst price2613.7
Drawdown as % of equity-0.06%
 $294
Includes Typical Broker Commissions trade costs of $0.70
12/19/24 9:48 NVDA NVIDIA LONG 98 131.57 12/20 9:32 128.78 0.38%
Trade id #150363913
Max drawdown($286)
Time12/20/24 9:32
Quant open98
Worst price128.64
Drawdown as % of equity-0.38%
 ($275)
Includes Typical Broker Commissions trade costs of $1.96
12/19/24 9:54 PLTR PALANTIR TECHNOLOGIES INC. CLASS A LONG 170 75.98 12/20 9:30 72.19 1%
Trade id #150363998
Max drawdown($762)
Time12/20/24 9:30
Quant open170
Worst price71.50
Drawdown as % of equity-1.00%
 ($648)
Includes Typical Broker Commissions trade costs of $3.40
12/19/24 10:17 SAP SAP AE LONG 52 247.48 12/20 9:30 243.60 0.29%
Trade id #150364291
Max drawdown($222)
Time12/20/24 9:30
Quant open52
Worst price243.20
Drawdown as % of equity-0.29%
 ($203)
Includes Typical Broker Commissions trade costs of $1.04
12/20/24 2:00 QMGCG5 E-Micro Gold SHORT 1 2617.8 12/20 7:00 2618.5 0.06%
Trade id #150371774
Max drawdown($46)
Time12/20/24 5:17
Quant open1
Worst price2622.4
Drawdown as % of equity-0.06%
 ($8)
Includes Typical Broker Commissions trade costs of $0.70
12/18/24 21:22 @MESH5 MICRO E-MINI S&P 500 LONG 1 5951.78 12/20 4:49 5882.82 0.45%
Trade id #150360221
Max drawdown($346)
Time12/20/24 4:49
Quant open1
Worst price5882.50
Drawdown as % of equity-0.45%
 ($346)
Includes Typical Broker Commissions trade costs of $0.94
12/19/24 2:23 QMGCG5 E-Micro Gold LONG 1 2630.4 12/20 2:00 2617.9 0.38%
Trade id #150361106
Max drawdown($293)
Time12/19/24 10:40
Quant open1
Worst price2601.0
Drawdown as % of equity-0.38%
 ($126)
Includes Typical Broker Commissions trade costs of $0.70
12/19/24 7:40 @M2KH5 MICRO E-MINI RUSSELL 2000 LONG 1 2268.56 12/19 15:00 2249.98 0.19%
Trade id #150362492
Max drawdown($148)
Time12/19/24 13:04
Quant open1
Worst price2238.90
Drawdown as % of equity-0.19%
 ($94)
Includes Typical Broker Commissions trade costs of $0.94
12/18/24 14:06 AXP AMERICAN EXPRESS SHORT 44 299.84 12/19 10:00 294.65 n/a $228
Includes Typical Broker Commissions trade costs of $0.88
12/19/24 8:30 @MNQH5 MICRO E-MINI NASDAQ 100 LONG 1 21664.05 12/19 9:55 21557.65 0.28%
Trade id #150362647
Max drawdown($222)
Time12/19/24 9:55
Quant open1
Worst price21552.80
Drawdown as % of equity-0.28%
 ($214)
Includes Typical Broker Commissions trade costs of $0.94
Next

Statistics

  • Strategy began
    3/31/2023
  • Suggested Minimum Cap
    $80,000
  • Strategy Age (days)
    636.24
  • Age
    21 months ago
  • What it trades
    Stocks, Futures
  • # Trades
    2745
  • # Profitable
    1121
  • % Profitable
    40.80%
  • Avg trade duration
    1.6 days
  • Max peak-to-valley drawdown
    20.1%
  • drawdown period
    July 18, 2023 - Aug 16, 2023
  • Annual Return (Compounded)
    79.0%
  • Avg win
    $254.38
  • Avg loss
    $139.98
  • Model Account Values (Raw)
  • Cash
    $14,601
  • Margin Used
    $7,962
  • Buying Power
    $8,576
  • Ratios
  • W:L ratio
    1.26:1
  • Sharpe Ratio
    1.58
  • Sortino Ratio
    2.8
  • Calmar Ratio
    4.595
  • CORRELATION STATISTICS
  • Return of Strat Pcnt - Return of SP500 Pcnt (cumu)
    130.46%
  • Correlation to SP500
    0.38080
  • Return Percent SP500 (cumu) during strategy life
    46.92%
  • Verified
  • C2Star
    0
  • Return Statistics
  • Ann Return (w trading costs)
    79.0%
  • Slump
  • Current Slump as Pcnt Equity
    10.00%
  • Instruments
  • Percent Trades Futures
    0.48%
  • Slump
  • Current Slump, time of slump as pcnt of strategy life
    0.04%
  • 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)
    0.790%
  • Instruments
  • Percent Trades Options
    n/a
  • Percent Trades Stocks
    0.52%
  • Percent Trades Forex
    n/a
  • Return Statistics
  • Ann Return (Compnd, No Fees)
    86.1%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
    20.00%
  • Chance of 20% account loss
    3.50%
  • Chance of 30% account loss
    1.50%
  • 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)
    955
  • Popularity (Last 6 weeks)
    996
  • Trading Style
  • Any stock shorts? 0/1
    1
  • Popularity
  • C2 Score
    952
  • Popularity (7 days, Percentile 1000 scale)
    982
  • Trades-Own-System Certification
  • Trades Own System?
    Yes
  • TOS percent
    100%
  • Win / Loss
  • Avg Loss
    $140
  • Avg Win
    $254
  • Sum Trade PL (losers)
    $227,327.000
  • Age
  • Num Months filled monthly returns table
    22
  • Win / Loss
  • Sum Trade PL (winners)
    $285,165.000
  • # Winners
    1121
  • Num Months Winners
    16
  • Dividends
  • Dividends Received in Model Acct
    891
  • AUM
  • AUM (AutoTrader live capital)
    3316640
  • Win / Loss
  • # Losers
    1624
  • % Winners
    40.8%
  • Frequency
  • Avg Position Time (mins)
    2241.47
  • Avg Position Time (hrs)
    37.36
  • Avg Trade Length
    1.6 days
  • Last Trade Ago
    0
  • Leverage
  • Daily leverage (average)
    3.24
  • Daily leverage (max)
    14.75
  • Regression
  • Alpha
    0.11
  • Beta
    1.02
  • Treynor Index
    0.17
  • 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)
    -0.40
  • MAE:Equity, average, winning trades
    0.00
  • MAE:Equity, average, losing trades
    0.00
  • Avg(MAE) / Avg(PL) - All trades
    3.731
  • 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
    0.210
  • Avg(MAE) / Avg(PL) - Losing trades
    -0.932
  • Hold-and-Hope Ratio
    0.276
  • Analysis based on MONTHLY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.64202
  • SD
    0.28604
  • Sharpe ratio (Glass type estimate)
    2.24453
  • Sharpe ratio (Hedges UMVUE)
    2.15454
  • df
    19.00000
  • t
    2.89767
  • p
    0.16650
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.54488
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.89586
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.48897
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.82012
  • Statistics related to Sortino ratio
  • Sortino ratio
    7.21178
  • Upside Potential Ratio
    8.88501
  • Upside part of mean
    0.79097
  • Downside part of mean
    -0.14896
  • Upside SD
    0.32272
  • Downside SD
    0.08902
  • N nonnegative terms
    14.00000
  • N negative terms
    6.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    20.00000
  • Mean of predictor
    0.21269
  • Mean of criterion
    0.64202
  • SD of predictor
    0.11612
  • SD of criterion
    0.28604
  • Covariance
    0.01009
  • r
    0.30366
  • b (slope, estimate of beta)
    0.74799
  • a (intercept, estimate of alpha)
    0.48292
  • Mean Square Error
    0.07840
  • DF error
    18.00000
  • t(b)
    1.35215
  • p(b)
    0.34817
  • t(a)
    1.95718
  • p(a)
    0.29056
  • Lowerbound of 95% confidence interval for beta
    -0.41421
  • Upperbound of 95% confidence interval for beta
    1.91018
  • Lowerbound of 95% confidence interval for alpha
    -0.03547
  • Upperbound of 95% confidence interval for alpha
    1.00132
  • Treynor index (mean / b)
    0.85833
  • Jensen alpha (a)
    0.48292
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.58933
  • SD
    0.26998
  • Sharpe ratio (Glass type estimate)
    2.18288
  • Sharpe ratio (Hedges UMVUE)
    2.09537
  • df
    19.00000
  • t
    2.81808
  • p
    0.17219
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.49181
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.82651
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.43744
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.75329
  • Statistics related to Sortino ratio
  • Sortino ratio
    6.42996
  • Upside Potential Ratio
    8.09628
  • Upside part of mean
    0.74205
  • Downside part of mean
    -0.15272
  • Upside SD
    0.29964
  • Downside SD
    0.09165
  • N nonnegative terms
    14.00000
  • N negative terms
    6.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    20.00000
  • Mean of predictor
    0.20416
  • Mean of criterion
    0.58933
  • SD of predictor
    0.11422
  • SD of criterion
    0.26998
  • Covariance
    0.00920
  • r
    0.29845
  • b (slope, estimate of beta)
    0.70540
  • a (intercept, estimate of alpha)
    0.44531
  • Mean Square Error
    0.07008
  • DF error
    18.00000
  • t(b)
    1.32667
  • p(b)
    0.35078
  • t(a)
    1.91925
  • p(a)
    0.29392
  • Lowerbound of 95% confidence interval for beta
    -0.41168
  • Upperbound of 95% confidence interval for beta
    1.82248
  • Lowerbound of 95% confidence interval for alpha
    -0.04215
  • Upperbound of 95% confidence interval for alpha
    0.93278
  • Treynor index (mean / b)
    0.83545
  • Jensen alpha (a)
    0.44531
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.07604
  • Expected Shortfall on VaR
    0.10527
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.02013
  • Expected Shortfall on VaR
    0.04328
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    20.00000
  • Minimum
    0.92327
  • Quartile 1
    0.98819
  • Median
    1.05905
  • Quartile 3
    1.12066
  • Maximum
    1.23315
  • Mean of quarter 1
    0.95534
  • Mean of quarter 2
    1.01786
  • Mean of quarter 3
    1.09220
  • Mean of quarter 4
    1.15792
  • Inter Quartile Range
    0.13247
  • 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)
    -10.81150
  • VaR(95%) (moments method)
    0.03403
  • Expected Shortfall (moments method)
    0.03403
  • Extreme Value Index (regression method)
    -0.42152
  • VaR(95%) (regression method)
    0.05074
  • Expected Shortfall (regression method)
    0.06235
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    4.00000
  • Minimum
    0.01098
  • Quartile 1
    0.04334
  • Median
    0.06543
  • Quartile 3
    0.07764
  • Maximum
    0.08034
  • Mean of quarter 1
    0.01098
  • Mean of quarter 2
    0.05413
  • Mean of quarter 3
    0.07674
  • Mean of quarter 4
    0.08034
  • Inter Quartile Range
    0.03429
  • 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)
    1.07850
  • Compounded annual return (geometric extrapolation)
    0.85380
  • Calmar ratio (compounded annual return / max draw down)
    10.62750
  • Compounded annual return / average of 25% largest draw downs
    10.62750
  • Compounded annual return / Expected Shortfall lognormal
    8.11040
  • 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
    0.64879
  • SD
    0.31470
  • Sharpe ratio (Glass type estimate)
    2.06163
  • Sharpe ratio (Hedges UMVUE)
    2.05820
  • df
    452.00000
  • t
    2.71087
  • p
    0.00348
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.56390
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.55711
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.56162
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.55479
  • Statistics related to Sortino ratio
  • Sortino ratio
    3.66775
  • Upside Potential Ratio
    11.25760
  • Upside part of mean
    1.99138
  • Downside part of mean
    -1.34259
  • Upside SD
    0.26293
  • Downside SD
    0.17689
  • N nonnegative terms
    233.00000
  • N negative terms
    220.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    453.00000
  • Mean of predictor
    0.20217
  • Mean of criterion
    0.64879
  • SD of predictor
    0.12218
  • SD of criterion
    0.31470
  • Covariance
    0.01503
  • r
    0.39085
  • b (slope, estimate of beta)
    1.00674
  • a (intercept, estimate of alpha)
    0.44500
  • Mean Square Error
    0.08409
  • DF error
    451.00000
  • t(b)
    9.01778
  • p(b)
    -0.00000
  • t(a)
    2.00852
  • p(a)
    0.02259
  • Lowerbound of 95% confidence interval for beta
    0.78734
  • Upperbound of 95% confidence interval for beta
    1.22614
  • Lowerbound of 95% confidence interval for alpha
    0.00960
  • Upperbound of 95% confidence interval for alpha
    0.88094
  • Treynor index (mean / b)
    0.64445
  • Jensen alpha (a)
    0.44527
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.59941
  • SD
    0.31089
  • Sharpe ratio (Glass type estimate)
    1.92802
  • Sharpe ratio (Hedges UMVUE)
    1.92482
  • df
    452.00000
  • t
    2.53519
  • p
    0.00579
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.43112
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.42282
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.42899
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.42065
  • Statistics related to Sortino ratio
  • Sortino ratio
    3.32668
  • Upside Potential Ratio
    10.86620
  • Upside part of mean
    1.95788
  • Downside part of mean
    -1.35848
  • Upside SD
    0.25563
  • Downside SD
    0.18018
  • N nonnegative terms
    233.00000
  • N negative terms
    220.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    453.00000
  • Mean of predictor
    0.19462
  • Mean of criterion
    0.59941
  • SD of predictor
    0.12223
  • SD of criterion
    0.31089
  • Covariance
    0.01480
  • r
    0.38950
  • b (slope, estimate of beta)
    0.99069
  • a (intercept, estimate of alpha)
    0.40660
  • Mean Square Error
    0.08217
  • DF error
    451.00000
  • t(b)
    8.98087
  • p(b)
    -0.00000
  • t(a)
    1.85612
  • p(a)
    0.03204
  • Lowerbound of 95% confidence interval for beta
    0.77390
  • Upperbound of 95% confidence interval for beta
    1.20747
  • Lowerbound of 95% confidence interval for alpha
    -0.02390
  • Upperbound of 95% confidence interval for alpha
    0.83710
  • Treynor index (mean / b)
    0.60504
  • Jensen alpha (a)
    0.40660
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.02888
  • Expected Shortfall on VaR
    0.03662
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.01155
  • Expected Shortfall on VaR
    0.02314
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    453.00000
  • Minimum
    0.93541
  • Quartile 1
    0.99357
  • Median
    1.00043
  • Quartile 3
    1.00904
  • Maximum
    1.13268
  • Mean of quarter 1
    0.98275
  • Mean of quarter 2
    0.99709
  • Mean of quarter 3
    1.00454
  • Mean of quarter 4
    1.02613
  • Inter Quartile Range
    0.01548
  • Number outliers low
    16.00000
  • Percentage of outliers low
    0.03532
  • Mean of outliers low
    0.95592
  • Number of outliers high
    31.00000
  • Percentage of outliers high
    0.06843
  • Mean of outliers high
    1.04982
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    0.42505
  • VaR(95%) (moments method)
    0.01815
  • Expected Shortfall (moments method)
    0.03566
  • Extreme Value Index (regression method)
    0.26976
  • VaR(95%) (regression method)
    0.01525
  • Expected Shortfall (regression method)
    0.02447
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    33.00000
  • Minimum
    0.00124
  • Quartile 1
    0.00534
  • Median
    0.01813
  • Quartile 3
    0.05274
  • Maximum
    0.18988
  • Mean of quarter 1
    0.00375
  • Mean of quarter 2
    0.01317
  • Mean of quarter 3
    0.03889
  • Mean of quarter 4
    0.11283
  • Inter Quartile Range
    0.04740
  • 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
    0.09091
  • Mean of outliers high
    0.16053
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    -0.05592
  • VaR(95%) (moments method)
    0.10948
  • Expected Shortfall (moments method)
    0.14203
  • Extreme Value Index (regression method)
    0.62241
  • VaR(95%) (regression method)
    0.10568
  • Expected Shortfall (regression method)
    0.24085
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    1.13264
  • Compounded annual return (geometric extrapolation)
    0.87257
  • Calmar ratio (compounded annual return / max draw down)
    4.59528
  • Compounded annual return / average of 25% largest draw downs
    7.73365
  • Compounded annual return / Expected Shortfall lognormal
    23.82910
  • 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
    0.23874
  • SD
    0.16518
  • Sharpe ratio (Glass type estimate)
    1.44538
  • Sharpe ratio (Hedges UMVUE)
    1.43702
  • df
    130.00000
  • t
    1.02204
  • p
    0.45536
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -1.33465
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.22009
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -1.34028
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.21433
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.50541
  • Upside Potential Ratio
    11.70480
  • Upside part of mean
    1.11536
  • Downside part of mean
    -0.87662
  • Upside SD
    0.13495
  • Downside SD
    0.09529
  • 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
    0.17996
  • Mean of criterion
    0.23874
  • SD of predictor
    0.14232
  • SD of criterion
    0.16518
  • Covariance
    0.00831
  • r
    0.35356
  • b (slope, estimate of beta)
    0.41034
  • a (intercept, estimate of alpha)
    0.16490
  • Mean Square Error
    0.02406
  • DF error
    129.00000
  • t(b)
    4.29291
  • p(b)
    0.27970
  • t(a)
    0.74944
  • p(a)
    0.45811
  • Lowerbound of 95% confidence interval for beta
    0.22122
  • Upperbound of 95% confidence interval for beta
    0.59946
  • Lowerbound of 95% confidence interval for alpha
    -0.27043
  • Upperbound of 95% confidence interval for alpha
    0.60023
  • Treynor index (mean / b)
    0.58181
  • Jensen alpha (a)
    0.16490
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.22517
  • SD
    0.16440
  • Sharpe ratio (Glass type estimate)
    1.36960
  • Sharpe ratio (Hedges UMVUE)
    1.36168
  • df
    130.00000
  • t
    0.96845
  • p
    0.45768
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -1.40974
  • Upperbound of 95% confidence interval for Sharpe Ratio
    4.14386
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -1.41506
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    4.13842
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.34508
  • Upside Potential Ratio
    11.52180
  • Upside part of mean
    1.10628
  • Downside part of mean
    -0.88111
  • Upside SD
    0.13340
  • Downside SD
    0.09602
  • 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
    0.16980
  • Mean of criterion
    0.22517
  • SD of predictor
    0.14267
  • SD of criterion
    0.16440
  • Covariance
    0.00827
  • r
    0.35263
  • b (slope, estimate of beta)
    0.40635
  • a (intercept, estimate of alpha)
    0.15617
  • Mean Square Error
    0.02385
  • DF error
    129.00000
  • t(b)
    4.27998
  • p(b)
    0.28025
  • t(a)
    0.71308
  • p(a)
    0.46014
  • VAR (95 Confidence Intrvl)
    0.02900
  • Lowerbound of 95% confidence interval for beta
    0.21851
  • Upperbound of 95% confidence interval for beta
    0.59420
  • Lowerbound of 95% confidence interval for alpha
    -0.27713
  • Upperbound of 95% confidence interval for alpha
    0.58947
  • Treynor index (mean / b)
    0.55411
  • Jensen alpha (a)
    0.15617
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.01572
  • Expected Shortfall on VaR
    0.01988
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.00811
  • Expected Shortfall on VaR
    0.01432
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    131.00000
  • Minimum
    0.97110
  • Quartile 1
    0.99439
  • Median
    0.99931
  • Quartile 3
    1.00645
  • Maximum
    1.03551
  • Mean of quarter 1
    0.99012
  • Mean of quarter 2
    0.99686
  • Mean of quarter 3
    1.00290
  • Mean of quarter 4
    1.01425
  • Inter Quartile Range
    0.01206
  • Number outliers low
    1.00000
  • Percentage of outliers low
    0.00763
  • Mean of outliers low
    0.97110
  • Number of outliers high
    4.00000
  • Percentage of outliers high
    0.03053
  • Mean of outliers high
    1.03324
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    0.23966
  • VaR(95%) (moments method)
    0.01090
  • Expected Shortfall (moments method)
    0.01614
  • Extreme Value Index (regression method)
    0.35838
  • VaR(95%) (regression method)
    0.01003
  • Expected Shortfall (regression method)
    0.01561
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    4.00000
  • Minimum
    0.00391
  • Quartile 1
    0.03346
  • Median
    0.04683
  • Quartile 3
    0.06402
  • Maximum
    0.10503
  • Mean of quarter 1
    0.00391
  • Mean of quarter 2
    0.04331
  • Mean of quarter 3
    0.05035
  • Mean of quarter 4
    0.10503
  • Inter Quartile Range
    0.03056
  • 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
    0.25%
  • Expected Shortfall (regression method)
    0.00000
  • Strat Max DD how much worse than SP500 max DD during strat life?
    -393533000
  • Max Equity Drawdown (num days)
    29
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    0.26978
  • Compounded annual return (geometric extrapolation)
    0.28798
  • Calmar ratio (compounded annual return / max draw down)
    2.74194
  • Compounded annual return / average of 25% largest draw downs
    2.74194
  • Compounded annual return / Expected Shortfall lognormal
    14.48300

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
$80,000
Rank at C2 %
Top 4.8%
Rank # 
#35
# Trades
2745
# Profitable
1121
% Profitable
40.8%
Net Dividends
$890
Correlation S&P500
0.381
Sharpe Ratio
1.58
Sortino Ratio
2.80
Beta
1.02
Alpha
0.11
Leverage
3.24 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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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.