Collective2 Collective2
Featured Strategy Cryptoverse Followed by live capital $1.80 million Hypothetical

Welcome to Collective2

Follow these tips for a better experience

Ok, let's start

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

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

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

Okay, no problem

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

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

Got it

Later

You can find it here.

Got it

Video Saved for Later

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

Got it
Watchlist Watchlist
These are hypothetical performance results that have certain inherent limitations. Learn more
Listing Edit Subscribers Broadcast Share System Watchlist Watchlist More...

SP 500 Index Futures
(146914847)

Created by: TAG_Capital TAG_Capital
Started: 01/2024
Futures
Last trade: 10 days ago
Trading style: Futures Short Term

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: Futures
Short Term
Category: Equity

Short Term

Makes short-term trades or bases analysis on short-term market movements.
-44.2%
Cumul. Return

Rate of Return Calculations

Overview

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

How Cumulative Rate of Return is calculated

= (Ending_equity - Starting_equity) / Starting_equity

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

All results are hypothetical.

(69.0%)
Max Drawdown
513
Num Trades
84.2%
Win Trades
1.0 : 1
Profit Factor
41.7%
Win Months
Hypothetical Monthly Returns (includes system fee and Typical Broker commissions and fees)
 JanFebMarAprMayJunJulAugSepOctNovDecYTD
2024+22.6%+10.9%+12.0%(1.2%)(19.5%)(1.1%)+9.3%(8.5%)(28.1%)+16.5%(2.8%)(42.8%)(44.2%)

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 1,075 trades in real-life brokerage accounts. The most recent trade in a real-money brokerage account occurred more than 87 days ago.

Show AutoTrade data Hide AutoTrade data
Download CSV
Long
Short
Both
Win
Loss
Both
Opened Date/TimeSymbolDescriptionSideQuantAvg PriceClosed Date/TimeAvg PriceDrawdownP/L
12/11/24 11:25 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6090.25 12/11 16:01 6089.25 2.59%
Trade id #150301108
Max drawdown($735)
Time12/11/24 13:02
Quant open12
Worst price6102.50
Drawdown as % of equity-2.59%
 $49
Includes Typical Broker Commissions trade costs of $11.28
12/10/24 15:41 @MESZ4 MICRO E-MINI S&P 500 LONG 12 6047.00 12/10 23:43 6050.67 1.17%
Trade id #150293404
Max drawdown($330)
Time12/10/24 15:50
Quant open12
Worst price6041.50
Drawdown as % of equity-1.17%
 $209
Includes Typical Broker Commissions trade costs of $11.28
12/10/24 9:45 @MESZ4 MICRO E-MINI S&P 500 LONG 12 6068.71 12/10 10:55 6073.50 1.29%
Trade id #150288726
Max drawdown($362)
Time12/10/24 9:53
Quant open10
Worst price6061.75
Drawdown as % of equity-1.29%
 $277
Includes Typical Broker Commissions trade costs of $11.28
12/10/24 9:06 @MESZ4 MICRO E-MINI S&P 500 LONG 12 6068.75 12/10 9:30 6072.08 0.1%
Trade id #150287952
Max drawdown($27)
Time12/10/24 9:30
Quant open2
Worst price6066.00
Drawdown as % of equity-0.10%
 $189
Includes Typical Broker Commissions trade costs of $11.28
12/9/24 16:53 @MESZ4 MICRO E-MINI S&P 500 LONG 12 6063.00 12/10 6:01 6067.00 1.25%
Trade id #150285016
Max drawdown($345)
Time12/10/24 4:39
Quant open12
Worst price6057.25
Drawdown as % of equity-1.25%
 $229
Includes Typical Broker Commissions trade costs of $11.28
12/9/24 11:10 @MESZ4 MICRO E-MINI S&P 500 LONG 12 6065.75 12/9 14:42 6071.21 0.01%
Trade id #150280026
Max drawdown($2)
Time12/9/24 14:42
Quant open1
Worst price6065.25
Drawdown as % of equity-0.01%
 $317
Includes Typical Broker Commissions trade costs of $11.28
12/9/24 9:31 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6094.50 12/9 11:07 6086.38 0.11%
Trade id #150277893
Max drawdown($30)
Time12/9/24 9:34
Quant open12
Worst price6095.00
Drawdown as % of equity-0.11%
 $477
Includes Typical Broker Commissions trade costs of $11.28
12/6/24 8:32 @MESZ4 MICRO E-MINI S&P 500 LONG 12 6096.75 12/6 11:13 6102.00 0.96%
Trade id #150262949
Max drawdown($255)
Time12/6/24 8:50
Quant open12
Worst price6092.50
Drawdown as % of equity-0.96%
 $304
Includes Typical Broker Commissions trade costs of $11.28
12/5/24 13:25 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6091.50 12/6 8:30 6086.08 2.25%
Trade id #150257525
Max drawdown($585)
Time12/5/24 13:42
Quant open12
Worst price6101.25
Drawdown as % of equity-2.25%
 $314
Includes Typical Broker Commissions trade costs of $11.28
12/5/24 8:19 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6095.50 12/5 11:19 6091.33 2.15%
Trade id #150249986
Max drawdown($555)
Time12/5/24 10:03
Quant open12
Worst price6104.75
Drawdown as % of equity-2.15%
 $239
Includes Typical Broker Commissions trade costs of $11.28
12/4/24 13:53 @MESZ4 MICRO E-MINI S&P 500 LONG 12 6084.50 12/4 15:48 6091.21 0.94%
Trade id #150244800
Max drawdown($240)
Time12/4/24 14:00
Quant open12
Worst price6080.50
Drawdown as % of equity-0.94%
 $392
Includes Typical Broker Commissions trade costs of $11.28
12/4/24 12:32 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6084.25 12/4 13:53 6080.35 1.07%
Trade id #150244102
Max drawdown($270)
Time12/4/24 12:51
Quant open12
Worst price6088.75
Drawdown as % of equity-1.07%
 $223
Includes Typical Broker Commissions trade costs of $11.28
12/4/24 10:35 @MESZ4 MICRO E-MINI S&P 500 LONG 12 6084.00 12/4 11:43 6087.67 0.96%
Trade id #150242061
Max drawdown($240)
Time12/4/24 10:51
Quant open12
Worst price6080.00
Drawdown as % of equity-0.96%
 $209
Includes Typical Broker Commissions trade costs of $11.28
12/4/24 10:14 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6078.00 12/4 10:30 6074.52 0.06%
Trade id #150241732
Max drawdown($13)
Time12/4/24 10:20
Quant open1
Worst price6080.75
Drawdown as % of equity-0.06%
 $198
Includes Typical Broker Commissions trade costs of $11.28
12/4/24 9:28 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6081.25 12/4 10:03 6078.06 1.03%
Trade id #150240603
Max drawdown($255)
Time12/4/24 9:56
Quant open12
Worst price6085.50
Drawdown as % of equity-1.03%
 $180
Includes Typical Broker Commissions trade costs of $11.28
12/3/24 14:35 @MESZ4 MICRO E-MINI S&P 500 LONG 12 6062.50 12/4 8:32 6069.58 0.74%
Trade id #150235712
Max drawdown($180)
Time12/3/24 15:43
Quant open12
Worst price6059.50
Drawdown as % of equity-0.74%
 $414
Includes Typical Broker Commissions trade costs of $11.28
12/3/24 11:47 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6049.00 12/3 14:34 6062.75 3.36%
Trade id #150233921
Max drawdown($840)
Time12/3/24 13:27
Quant open12
Worst price6063.00
Drawdown as % of equity-3.36%
 ($836)
Includes Typical Broker Commissions trade costs of $11.28
12/3/24 9:53 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6055.50 12/3 11:01 6050.50 1.27%
Trade id #150231288
Max drawdown($315)
Time12/3/24 10:06
Quant open12
Worst price6060.75
Drawdown as % of equity-1.27%
 $289
Includes Typical Broker Commissions trade costs of $11.28
12/2/24 14:16 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6056.75 12/3 9:48 6053.42 2.88%
Trade id #150225686
Max drawdown($705)
Time12/2/24 15:29
Quant open12
Worst price6068.50
Drawdown as % of equity-2.88%
 $189
Includes Typical Broker Commissions trade costs of $11.28
12/2/24 10:52 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6054.50 12/2 11:06 6050.75 0.31%
Trade id #150222957
Max drawdown($75)
Time12/2/24 10:55
Quant open12
Worst price6055.75
Drawdown as % of equity-0.31%
 $214
Includes Typical Broker Commissions trade costs of $11.28
12/2/24 9:40 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6055.75 12/2 10:00 6052.00 0.62%
Trade id #150221278
Max drawdown($150)
Time12/2/24 9:50
Quant open12
Worst price6058.25
Drawdown as % of equity-0.62%
 $214
Includes Typical Broker Commissions trade costs of $11.28
11/29/24 12:36 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6059.00 12/2 9:30 6052.92 0.25%
Trade id #150211045
Max drawdown($60)
Time11/29/24 12:50
Quant open12
Worst price6060.00
Drawdown as % of equity-0.25%
 $354
Includes Typical Broker Commissions trade costs of $11.28
11/27/24 10:42 @MESZ4 MICRO E-MINI S&P 500 LONG 23 6024.16 11/29 12:04 6031.07 5.54%
Trade id #150194747
Max drawdown($1,290)
Time11/27/24 12:09
Quant open12
Worst price6000.75
Drawdown as % of equity-5.54%
 $772
Includes Typical Broker Commissions trade costs of $21.62
11/25/24 19:02 @MESZ4 MICRO E-MINI S&P 500 LONG 45 6015.04 11/27 10:37 6021.58 4.48%
Trade id #150174544
Max drawdown($960)
Time11/25/24 20:03
Quant open12
Worst price5976.25
Drawdown as % of equity-4.48%
 $1,428
Includes Typical Broker Commissions trade costs of $42.30
11/25/24 12:54 @MESZ4 MICRO E-MINI S&P 500 LONG 12 5995.00 11/25 18:48 5999.67 0.21%
Trade id #150170614
Max drawdown($45)
Time11/25/24 12:57
Quant open12
Worst price5994.25
Drawdown as % of equity-0.21%
 $269
Includes Typical Broker Commissions trade costs of $11.28
11/22/24 15:55 @MESZ4 MICRO E-MINI S&P 500 LONG 34 6009.93 11/25 12:12 6019.92 2%
Trade id #150156988
Max drawdown($405)
Time11/22/24 16:00
Quant open12
Worst price5984.50
Drawdown as % of equity-2.00%
 $1,666
Includes Typical Broker Commissions trade costs of $31.96
11/21/24 10:41 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 5913.25 11/22 15:54 5989.50 24.26%
Trade id #150142823
Max drawdown($4,830)
Time11/22/24 13:11
Quant open12
Worst price5993.75
Drawdown as % of equity-24.26%
 ($4,586)
Includes Typical Broker Commissions trade costs of $11.28
11/21/24 9:38 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 5930.25 11/21 10:28 5914.00 5.29%
Trade id #150141401
Max drawdown($1,215)
Time11/21/24 9:51
Quant open12
Worst price5950.50
Drawdown as % of equity-5.29%
 $964
Includes Typical Broker Commissions trade costs of $11.28
11/21/24 7:08 @MESZ4 MICRO E-MINI S&P 500 LONG 21 5949.93 11/21 9:34 5957.38 0.06%
Trade id #150140105
Max drawdown($13)
Time11/21/24 9:34
Quant open1
Worst price5947.25
Drawdown as % of equity-0.06%
 $763
Includes Typical Broker Commissions trade costs of $19.74
11/20/24 23:15 @MESZ4 MICRO E-MINI S&P 500 LONG 12 5924.75 11/21 2:26 5930.19 3.54%
Trade id #150138647
Max drawdown($795)
Time11/21/24 0:00
Quant open12
Worst price5911.50
Drawdown as % of equity-3.54%
 $315
Includes Typical Broker Commissions trade costs of $11.28
Next

Statistics

  • Strategy began
    1/5/2024
  • Suggested Minimum Cap
    $25,000
  • Strategy Age (days)
    350.76
  • Age
    12 months ago
  • What it trades
    Futures
  • # Trades
    513
  • # Profitable
    432
  • % Profitable
    84.20%
  • Avg trade duration
    10.7 hours
  • Max peak-to-valley drawdown
    69.02%
  • drawdown period
    Aug 11, 2024 - Dec 20, 2024
  • Cumul. Return
    -44.2%
  • Avg win
    $319.00
  • Avg loss
    $1,749
  • Model Account Values (Raw)
  • Cash
    $35,624
  • Margin Used
    $19,200
  • Buying Power
    $1,844
  • Ratios
  • W:L ratio
    0.97:1
  • Sharpe Ratio
    -0.46
  • Sortino Ratio
    -0.54
  • Calmar Ratio
    -0.371
  • CORRELATION STATISTICS
  • Return of Strat Pcnt - Return of SP500 Pcnt (cumu)
    -70.43%
  • Correlation to SP500
    -0.07660
  • Return Percent SP500 (cumu) during strategy life
    26.26%
  • Return Statistics
  • Ann Return (w trading costs)
    -45.2%
  • Slump
  • Current Slump as Pcnt Equity
    186.30%
  • Instruments
  • Percent Trades Futures
    1.00%
  • Slump
  • Current Slump, time of slump as pcnt of strategy life
    0.37%
  • 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)
    -0.442%
  • Instruments
  • Percent Trades Options
    n/a
  • Percent Trades Stocks
    n/a
  • Percent Trades Forex
    n/a
  • Return Statistics
  • Ann Return (Compnd, No Fees)
    -16.4%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
    100.00%
  • Chance of 20% account loss
    100.00%
  • Chance of 30% account loss
    81.00%
  • Chance of 40% account loss
    53.50%
  • Chance of 60% account loss (Monte Carlo)
    12.50%
  • Chance of 70% account loss (Monte Carlo)
    2.50%
  • Chance of 80% account loss (Monte Carlo)
    n/a
  • Chance of 90% account loss (Monte Carlo)
    n/a
  • Automation
  • Percentage Signals Automated
    n/a
  • Risk of Ruin (Monte-Carlo)
  • Chance of 50% account loss
    36.50%
  • Popularity
  • Popularity (Today)
    508
  • Popularity (Last 6 weeks)
    859
  • Trading Style
  • Any stock shorts? 0/1
    0
  • Popularity
  • C2 Score
    124
  • Popularity (7 days, Percentile 1000 scale)
    657
  • Trades-Own-System Certification
  • Trades Own System?
    -
  • TOS percent
    n/a
  • Win / Loss
  • Avg Loss
    $1,750
  • Avg Win
    $319
  • Sum Trade PL (losers)
    $141,738.000
  • Age
  • Num Months filled monthly returns table
    12
  • Win / Loss
  • Sum Trade PL (winners)
    $137,808.000
  • # Winners
    432
  • Num Months Winners
    5
  • Dividends
  • Dividends Received in Model Acct
    0
  • Win / Loss
  • # Losers
    81
  • % Winners
    84.2%
  • Frequency
  • Avg Position Time (mins)
    643.27
  • Avg Position Time (hrs)
    10.72
  • Avg Trade Length
    0.4 days
  • Last Trade Ago
    9
  • Leverage
  • Daily leverage (average)
    10.08
  • Daily leverage (max)
    20.32
  • Regression
  • Alpha
    -0.08
  • Beta
    -0.43
  • Treynor Index
    0.25
  • Maximum Adverse Excursion (MAE)
  • MAE:Equity, average, all trades
    0.03
  • MAE:PL - worst single value for strategy
    -
  • MAE:PL (avg, winning trades)
    -
  • MAE:PL (avg, losing trades)
    -
  • MAE:PL (avg, all trades)
    1.19
  • MAE:Equity, average, winning trades
    0.01
  • MAE:Equity, average, losing trades
    0.08
  • Avg(MAE) / Avg(PL) - All trades
    -21.057
  • 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
    0.06
  • Avg(MAE) / Avg(PL) - Winning trades
    1.281
  • Avg(MAE) / Avg(PL) - Losing trades
    -1.144
  • Hold-and-Hope Ratio
    -0.040
  • Analysis based on MONTHLY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.49545
  • SD
    0.67802
  • Sharpe ratio (Glass type estimate)
    0.73074
  • Sharpe ratio (Hedges UMVUE)
    0.67429
  • df
    10.00000
  • t
    0.69963
  • p
    0.25005
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -1.35816
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.78455
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -1.39405
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.74262
  • Statistics related to Sortino ratio
  • Sortino ratio
    1.14848
  • Upside Potential Ratio
    3.01425
  • Upside part of mean
    1.30034
  • Downside part of mean
    -0.80489
  • Upside SD
    0.50226
  • Downside SD
    0.43140
  • N nonnegative terms
    7.00000
  • N negative terms
    4.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    11.00000
  • Mean of predictor
    0.26577
  • Mean of criterion
    0.49545
  • SD of predictor
    0.12338
  • SD of criterion
    0.67802
  • Covariance
    -0.01184
  • r
    -0.14150
  • b (slope, estimate of beta)
    -0.77761
  • a (intercept, estimate of alpha)
    0.70212
  • Mean Square Error
    0.50055
  • DF error
    9.00000
  • t(b)
    -0.42883
  • p(b)
    0.66093
  • t(a)
    0.79585
  • p(a)
    0.22330
  • Lowerbound of 95% confidence interval for beta
    -4.87969
  • Upperbound of 95% confidence interval for beta
    3.32447
  • Lowerbound of 95% confidence interval for alpha
    -1.29361
  • Upperbound of 95% confidence interval for alpha
    2.69785
  • Treynor index (mean / b)
    -0.63715
  • Jensen alpha (a)
    0.70212
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.27318
  • SD
    0.69802
  • Sharpe ratio (Glass type estimate)
    0.39137
  • Sharpe ratio (Hedges UMVUE)
    0.36113
  • df
    10.00000
  • t
    0.37471
  • p
    0.35785
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -1.67226
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.43593
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -1.69209
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.41436
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.55575
  • Upside Potential Ratio
    2.41432
  • Upside part of mean
    1.18676
  • Downside part of mean
    -0.91358
  • Upside SD
    0.45556
  • Downside SD
    0.49155
  • N nonnegative terms
    7.00000
  • N negative terms
    4.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    11.00000
  • Mean of predictor
    0.25542
  • Mean of criterion
    0.27318
  • SD of predictor
    0.12389
  • SD of criterion
    0.69802
  • Covariance
    -0.01318
  • r
    -0.15245
  • b (slope, estimate of beta)
    -0.85892
  • a (intercept, estimate of alpha)
    0.49257
  • Mean Square Error
    0.52879
  • DF error
    9.00000
  • t(b)
    -0.46276
  • p(b)
    0.67274
  • t(a)
    0.55015
  • p(a)
    0.29780
  • Lowerbound of 95% confidence interval for beta
    -5.05771
  • Upperbound of 95% confidence interval for beta
    3.33987
  • Lowerbound of 95% confidence interval for alpha
    -1.53282
  • Upperbound of 95% confidence interval for alpha
    2.51795
  • Treynor index (mean / b)
    -0.31805
  • Jensen alpha (a)
    0.49257
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.26558
  • Expected Shortfall on VaR
    0.32306
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.12750
  • Expected Shortfall on VaR
    0.24810
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    11.00000
  • Minimum
    0.74713
  • Quartile 1
    0.87626
  • Median
    1.10363
  • Quartile 3
    1.20242
  • Maximum
    1.24037
  • Mean of quarter 1
    0.76462
  • Mean of quarter 2
    1.04864
  • Mean of quarter 3
    1.16756
  • Mean of quarter 4
    1.23496
  • Inter Quartile Range
    0.32616
  • 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)
    -0.22989
  • VaR(95%) (moments method)
    0.24517
  • Expected Shortfall (moments method)
    0.25601
  • Extreme Value Index (regression method)
    2.02397
  • VaR(95%) (regression method)
    0.25813
  • Expected Shortfall (regression method)
    0.00000
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    2.00000
  • Minimum
    0.24541
  • Quartile 1
    0.26410
  • Median
    0.28280
  • Quartile 3
    0.30149
  • Maximum
    0.32019
  • Mean of quarter 1
    0.24541
  • Mean of quarter 2
    0.00000
  • Mean of quarter 3
    0.00000
  • Mean of quarter 4
    0.32019
  • Inter Quartile Range
    0.03739
  • 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)
    0.34674
  • Compounded annual return (geometric extrapolation)
    0.35133
  • Calmar ratio (compounded annual return / max draw down)
    1.09727
  • Compounded annual return / average of 25% largest draw downs
    1.09727
  • Compounded annual return / Expected Shortfall lognormal
    1.08751
  • 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
    -0.06388
  • SD
    0.59808
  • Sharpe ratio (Glass type estimate)
    -0.10680
  • Sharpe ratio (Hedges UMVUE)
    -0.10648
  • df
    249.00000
  • t
    -0.10433
  • p
    0.54151
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -2.11322
  • Upperbound of 95% confidence interval for Sharpe Ratio
    1.89973
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -2.11296
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.89999
  • Statistics related to Sortino ratio
  • Sortino ratio
    -0.12932
  • Upside Potential Ratio
    6.74663
  • Upside part of mean
    3.33266
  • Downside part of mean
    -3.39654
  • Upside SD
    0.33507
  • Downside SD
    0.49397
  • N nonnegative terms
    153.00000
  • N negative terms
    97.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    250.00000
  • Mean of predictor
    0.22465
  • Mean of criterion
    -0.06388
  • SD of predictor
    0.12710
  • SD of criterion
    0.59808
  • Covariance
    -0.00585
  • r
    -0.07693
  • b (slope, estimate of beta)
    -0.36201
  • a (intercept, estimate of alpha)
    0.01700
  • Mean Square Error
    0.35702
  • DF error
    248.00000
  • t(b)
    -1.21509
  • p(b)
    0.88726
  • t(a)
    0.02836
  • p(a)
    0.48870
  • Lowerbound of 95% confidence interval for beta
    -0.94880
  • Upperbound of 95% confidence interval for beta
    0.22478
  • Lowerbound of 95% confidence interval for alpha
    -1.19449
  • Upperbound of 95% confidence interval for alpha
    1.22939
  • Treynor index (mean / b)
    0.17645
  • Jensen alpha (a)
    0.01745
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    -0.25041
  • SD
    0.61940
  • Sharpe ratio (Glass type estimate)
    -0.40428
  • Sharpe ratio (Hedges UMVUE)
    -0.40306
  • df
    249.00000
  • t
    -0.39491
  • p
    0.65338
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -2.41066
  • Upperbound of 95% confidence interval for Sharpe Ratio
    1.60287
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -2.40982
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.60371
  • Statistics related to Sortino ratio
  • Sortino ratio
    -0.47765
  • Upside Potential Ratio
    6.25228
  • Upside part of mean
    3.27777
  • Downside part of mean
    -3.52818
  • Upside SD
    0.32791
  • Downside SD
    0.52425
  • N nonnegative terms
    153.00000
  • N negative terms
    97.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    250.00000
  • Mean of predictor
    0.21648
  • Mean of criterion
    -0.25041
  • SD of predictor
    0.12727
  • SD of criterion
    0.61940
  • Covariance
    -0.00573
  • r
    -0.07275
  • b (slope, estimate of beta)
    -0.35406
  • a (intercept, estimate of alpha)
    -0.17376
  • Mean Square Error
    0.38317
  • DF error
    248.00000
  • t(b)
    -1.14868
  • p(b)
    0.87410
  • t(a)
    -0.27270
  • p(a)
    0.60735
  • Lowerbound of 95% confidence interval for beta
    -0.96115
  • Upperbound of 95% confidence interval for beta
    0.25303
  • Lowerbound of 95% confidence interval for alpha
    -1.42876
  • Upperbound of 95% confidence interval for alpha
    1.08123
  • Treynor index (mean / b)
    0.70725
  • Jensen alpha (a)
    -0.17376
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.06190
  • Expected Shortfall on VaR
    0.07669
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.02481
  • Expected Shortfall on VaR
    0.05363
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    250.00000
  • Minimum
    0.78917
  • Quartile 1
    0.98588
  • Median
    1.00622
  • Quartile 3
    1.01948
  • Maximum
    1.08047
  • Mean of quarter 1
    0.95234
  • Mean of quarter 2
    0.99793
  • Mean of quarter 3
    1.01308
  • Mean of quarter 4
    1.03628
  • Inter Quartile Range
    0.03360
  • Number outliers low
    13.00000
  • Percentage of outliers low
    0.05200
  • Mean of outliers low
    0.89174
  • Number of outliers high
    2.00000
  • Percentage of outliers high
    0.00800
  • Mean of outliers high
    1.07599
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    0.35741
  • VaR(95%) (moments method)
    0.04453
  • Expected Shortfall (moments method)
    0.08328
  • Extreme Value Index (regression method)
    0.04267
  • VaR(95%) (regression method)
    0.05212
  • Expected Shortfall (regression method)
    0.07755
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    11.00000
  • Minimum
    0.00065
  • Quartile 1
    0.00337
  • Median
    0.01364
  • Quartile 3
    0.02935
  • Maximum
    0.53765
  • Mean of quarter 1
    0.00157
  • Mean of quarter 2
    0.00721
  • Mean of quarter 3
    0.02705
  • Mean of quarter 4
    0.28575
  • Inter Quartile Range
    0.02598
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    2.00000
  • Percentage of outliers high
    0.18182
  • Mean of outliers high
    0.41384
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    -32.18460
  • VaR(95%) (moments method)
    0.10856
  • Expected Shortfall (moments method)
    0.00000
  • Extreme Value Index (regression method)
    -1.07297
  • VaR(95%) (regression method)
    0.64630
  • Expected Shortfall (regression method)
    0.71535
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    -0.20047
  • Compounded annual return (geometric extrapolation)
    -0.19949
  • Calmar ratio (compounded annual return / max draw down)
    -0.37103
  • Compounded annual return / average of 25% largest draw downs
    -0.69812
  • Compounded annual return / Expected Shortfall lognormal
    -2.60126
  • 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
    -0.56663
  • SD
    0.74066
  • Sharpe ratio (Glass type estimate)
    -0.76503
  • Sharpe ratio (Hedges UMVUE)
    -0.76061
  • df
    130.00000
  • t
    -0.54096
  • p
    0.52370
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -3.53695
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.00979
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -3.53395
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.01274
  • Statistics related to Sortino ratio
  • Sortino ratio
    -0.90250
  • Upside Potential Ratio
    6.58730
  • Upside part of mean
    4.13579
  • Downside part of mean
    -4.70242
  • Upside SD
    0.38914
  • Downside SD
    0.62784
  • N nonnegative terms
    81.00000
  • N negative terms
    50.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.14272
  • Mean of criterion
    -0.56663
  • SD of predictor
    0.14146
  • SD of criterion
    0.74066
  • Covariance
    -0.00832
  • r
    -0.07946
  • b (slope, estimate of beta)
    -0.41602
  • a (intercept, estimate of alpha)
    -0.50725
  • Mean Square Error
    0.54934
  • DF error
    129.00000
  • t(b)
    -0.90531
  • p(b)
    0.55053
  • t(a)
    -0.48299
  • p(a)
    0.52704
  • Lowerbound of 95% confidence interval for beta
    -1.32522
  • Upperbound of 95% confidence interval for beta
    0.49318
  • Lowerbound of 95% confidence interval for alpha
    -2.58516
  • Upperbound of 95% confidence interval for alpha
    1.57065
  • Treynor index (mean / b)
    1.36202
  • Jensen alpha (a)
    -0.50725
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    -0.85469
  • SD
    0.77131
  • Sharpe ratio (Glass type estimate)
    -1.10810
  • Sharpe ratio (Hedges UMVUE)
    -1.10169
  • df
    130.00000
  • t
    -0.78354
  • p
    0.53428
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -3.88112
  • Upperbound of 95% confidence interval for Sharpe Ratio
    1.66903
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -3.87673
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.67334
  • Statistics related to Sortino ratio
  • Sortino ratio
    -1.27651
  • Upside Potential Ratio
    6.06649
  • Upside part of mean
    4.06185
  • Downside part of mean
    -4.91654
  • Upside SD
    0.38061
  • Downside SD
    0.66956
  • N nonnegative terms
    81.00000
  • N negative terms
    50.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.13271
  • Mean of criterion
    -0.85469
  • SD of predictor
    0.14181
  • SD of criterion
    0.77131
  • Covariance
    -0.00808
  • r
    -0.07391
  • b (slope, estimate of beta)
    -0.40199
  • a (intercept, estimate of alpha)
    -0.80134
  • Mean Square Error
    0.59626
  • DF error
    129.00000
  • t(b)
    -0.84173
  • p(b)
    0.54701
  • t(a)
    -0.73258
  • p(a)
    0.54095
  • VAR (95 Confidence Intrvl)
    0.06200
  • Lowerbound of 95% confidence interval for beta
    -1.34688
  • Upperbound of 95% confidence interval for beta
    0.54290
  • Lowerbound of 95% confidence interval for alpha
    -2.96558
  • Upperbound of 95% confidence interval for alpha
    1.36290
  • Treynor index (mean / b)
    2.12616
  • Jensen alpha (a)
    -0.80134
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.07840
  • Expected Shortfall on VaR
    0.09643
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.03436
  • Expected Shortfall on VaR
    0.07196
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    131.00000
  • Minimum
    0.78917
  • Quartile 1
    0.97890
  • Median
    1.01057
  • Quartile 3
    1.02593
  • Maximum
    1.08047
  • Mean of quarter 1
    0.93531
  • Mean of quarter 2
    0.99685
  • Mean of quarter 3
    1.01757
  • Mean of quarter 4
    1.04264
  • Inter Quartile Range
    0.04702
  • Number outliers low
    6.00000
  • Percentage of outliers low
    0.04580
  • Mean of outliers low
    0.86360
  • 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)
    -0.07067
  • VaR(95%) (moments method)
    0.05464
  • Expected Shortfall (moments method)
    0.07315
  • Extreme Value Index (regression method)
    -0.16867
  • VaR(95%) (regression method)
    0.06834
  • Expected Shortfall (regression method)
    0.09007
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    3.00000
  • Minimum
    0.00263
  • Quartile 1
    0.06817
  • Median
    0.13371
  • Quartile 3
    0.33568
  • Maximum
    0.53765
  • Mean of quarter 1
    0.00263
  • Mean of quarter 2
    0.13371
  • Mean of quarter 3
    0.00000
  • Mean of quarter 4
    0.53765
  • Inter Quartile Range
    0.26751
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    0.00000
  • Percentage of outliers high
    0.00000
  • Mean of outliers high
    0.00000
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    0.00000
  • VaR(95%) (moments method)
    0.00000
  • Expected Shortfall (moments method)
    0.00000
  • Extreme Value Index (regression method)
    0.00000
  • VaR(95%) (regression method)
    0.00000
  • Last 4 Months - Pcnt Negative
    0.75%
  • Expected Shortfall (regression method)
    0.00000
  • Strat Max DD how much worse than SP500 max DD during strat life?
    -363729000
  • Max Equity Drawdown (num days)
    131
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    -0.67719
  • Compounded annual return (geometric extrapolation)
    -0.56255
  • Calmar ratio (compounded annual return / max draw down)
    -1.04630
  • Compounded annual return / average of 25% largest draw downs
    -1.04630
  • Compounded annual return / Expected Shortfall lognormal
    -5.83388

Strategy Description

SP 500 Index Futures Strategy Description:

There is only one guarantee about the stock market...prices will fluctuate.

Every day global markets move up and down as stocks react to economic news, earnings reports, analyst ratings, monetary policy, geopolitics and world events.​​

While typical investment strategies only generate profits when stocks go up, our mission is to help traders build wealth regardless of market direction.

Our tactical long/short strategy identifies near-term market trends to capitalize on both rising and falling prices, enabling us to profit in bull and bear markets.

By design, our strategy is focused solely on Micro E-mini S&P 500 Index Futures (MES).

S&P 500 Index Futures offer an efficient and cost-effective way to gain market exposure to the S&P 500 Index, a broad-based, capitalization-weighted index that tracks 500 of the largest companies of the US economy.

We leverage the power of S&P 500 Index Futures to maximize the profit potential of each trade and the total return on investment (ROI). We believe futures trading offers unique advantages such as greater leverage, efficient markets, low commissions and tax benefits.

Unlike some Trade Leaders who trade multiple strategies or multiple asset classes, we keep things simple by trading one strategy and one asset class. Our singular focus allows us to remain disciplined in our approach and consistent in our performance.


Trading methodology:

Our strategy is discretionary, not automated. We enter trades and manage positions as we observe price action in real-time. Trades are executed as price reacts to specific support/resistance levels we have mapped out as part of our daily trade plan. We use several technical indicators to guide our exit/entry points as each trade develops.

The maximum number of MES contracts we will hold at any given time is 12. When we have strong conviction in a trade we will enter the position full-sized with 12 contracts, but we may also scale into a position (adding 4 or 6 contracts at a time) as we monitor price action in real-time.

Once we are fully sized (12 contracts) we will always have a stop loss in place. The stop loss will typically be 15-20 points away from our entry and will often be placed just above/below a key support/resistance level. The stop loss is wide enough to give our trade room to work while also exercising proper risk management. We may not have a stop loss in place initially if we are scaling into a position, but we will always have a stop loss in place on any positions held overnight, regardless of position size.

Regardless of position size, profit takes are managed where we typically take 75% profit at our first target. Our first profit target will usually be 5-10 points although this can vary based on volatility and price action. After our first profit target is achieved we will adjust our stop loss to ensure that we never go red once we’re in a winning trade. Once profitable we typically leave a 25% risk-free runner where we will lock-in more profits if price reaches our next target. If we are fully sized, we may leave a 10% risk-free runner which we let run indefinitely and we typically move our stop loss above/below the closest major swing high/low on the 15-minute chart.

If we have a large realized profit we will allow a little more latitude with our runners, especially if we are in a powerful trending market. We may add to our winning position (smaller size) while ensuring that we do not put any large realized profit at risk, or we may exit our runner manually before our stop loss triggers if our remaining runner has a large realized gain of 25 or 50+ points.

Since markets chop between support/resistance levels far more frequently than they trend in one direction, the vast majority of our trades will be completed at the first or second profit target before our stop loss is triggered and we exit the trade. Our goal is to aim for modest gains (think singles & doubles instead of home runs) and generate positive returns to consistently outperform the market.

On most days we will average 1-3 trades per day, but this is not a hard rule and we do not force trades if the set-ups we’re looking for are not present. We may execute more trades if market conditions present actionable opportunities, but on other days we may simply hold a runner or pass on the day entirely if market conditions are not ideal. While most of our trades are completed intra-day, we will occasionally hold positions overnight with a firm stop-loss in place. This is common if we have locked in a profitable trade and are holding a risk-free runner.

We rarely hold a full position heading into a major news event or economic data release such as FOMC, CPI, NFP, etc. Although we may hold a profitable runner heading into one of these events, we believe it is a best practice to trade the price action after these events, not before.

Like any trading strategy, drawdowns are a part of doing business. While our historical performance demonstrates the majority of our trades are profitable, we don’t always get it right. When a trade is moving against us and hits our stop loss, we will exit the trade for a loss, analyze what we learned and move on to the next opportunity. When the market doesn't present a clear advantage, we simply wait on the sidelines and remain in cash until the next opportunity presents itself.


About us:

As a former licensed broker with a major firm, we have more than 20 years of industry experience in the financial markets (both retail and institutional) trading a variety of asset classes including stocks, options and futures. Several years ago we branched out on our own to found TAG Capital, LLC - a small-family owned firm located outside of Raleigh, NC.

Our firm’s primary focus is equity research and analysis where we maintain a diversified equity portfolio as part of our core investment strategy. With our equity investments, we have a firm belief that the secret to building wealth is ‘time in the market’ as opposed to ‘timing the market’. Market timing is difficult and takes years of practice with a disciplined approach. Our market timing efforts are reserved solely for S&P 500 Index Futures where we trade the larger ES contract in our own account and also the smaller MES contract (through the C2 platform). The majority of our profits from trading S&P 500 Index Futures are funneled into our larger equity portfolio where we invest regularly through dollar-cost-averaging.

In addition to our passion for investing, we are equally passionate about delivering a positive customer experience. If you have any questions, please don’t hesitate to reach out through the Collective2 Message Center. We do our best to reply to messages in a timely manner, but as a general rule we typically don’t review messages between 8AM - 4PM EST during market hours to ensure we remain focused on price action and managing any open positions.

Tom G.
Founder/Chief Investment Officer
TAG Capital, LLC

Summary Statistics

Strategy began
2024-01-05
Suggested Minimum Capital
$25,000
# Trades
513
# Profitable
432
% Profitable
84.2%
Correlation S&P500
-0.077
Sharpe Ratio
-0.46
Sortino Ratio
-0.54
Beta
-0.43
Alpha
-0.08
Leverage
10.08 Average
20.32 Maximum
Summary
Higher leverage = greater risk.

More information about leverage

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

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

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

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

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

Latest Activity

#PERSONNAME#
subscribed on started simulation #SUBSCRIBEDDATE#

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

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

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

About the results you see on this Web site

Past results are not necessarily indicative of future results.

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

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

Material assumptions and methods used when calculating results

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

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

Trading is risky

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

Okay, gotcha.

Not available

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

Want to see available plans and features?

Please hold...

Strategy is now visible

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

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

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

Continue to designate your strategy as Private?

Mark as Private Keep Public

Strategy is no longer visible

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

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

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

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

You can restore public visibility at any time.

Suggested Minimum Capital

This is our estimate of the minimum amount of capital to follow a strategy, assuming you use the smallest reasonable AutoTrade Scaling % for the strategy.