Collective2 Collective2
Featured Strategy SK Trader Rank on Leaderboard #6 Hypothetical

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These are hypothetical performance results that have certain inherent limitations. Learn more


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SP 500 Index Futures
(146914847)

Creato da: C2Trade C2Trade
Started: 01/2024
Futures
Last trade: 179 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 è un programma di certificazione per le strategie di trading. Per diventare "Certificato C2Star", una strategia deve applicare controlli di rischio rigorosi e deve mostrare caratteristiche di performance eccellenti, tra cui riduzioni limitate.

Puoi leggere di più sui requisiti di certificazione C2Star qui.

Nota che: tutte le strategie di trading comportano rischi e la certificazione C2Star non implica che una strategia sia a basso rischio.

Trading Category: Futures
Short Term
Category: Equity

Short Term

Makes short-term trades or bases analysis on short-term market movements.

-35.4%
Annual Return (Compounded)

Calcolo del rendimento

Panoramica

Per conformarsi alle normative NFA, mostriamo il tasso di rendimento cumulativo per le strategie con un track record inferiore a un anno. Per le strategie con track record più lunghi, mostriamo il tasso di rendimento annuale (composto).

Come si calcola il tasso di rendimento annuale (composto)

= ((Patrimonio_finale / Patrimonio_iniziale) ^ (1 / anni)) - 1

Ricorda che, in base ai requisiti NFA, i costi di abbonamento alle strategie e le commissioni stimate sono inclusi nei calcoli del patrimonio valutato a mercato.

Tutti i risultati sono ipotetici.

(79.0%)
Max Drawdown
513
Num Trades
84.2%
Win Trades
1.0 : 1
Profit Factor
33.3%
Win Months
Hypothetical Monthly Returns (includes system fee and Typical Broker commissions and fees)
 JanFebMarAprMayJunJulAugSepOctNovDecYTD
2024+17.6%+9.7%+11.2%(2.9%)(19.9%)(3.9%)+7.2%(11.1%)(34%)+16.5%(5.3%)(57.6%)(68.5%)
2025+64.1%  -    -    -    -    -                                      +64.1%


Dettagli Account Modello

Una strategia di trading su Collective2. Seguila nel tuo account di brokeraggio o utilizza un account di trading simulato gratuito.

Gli utenti avanzati potrebbero voler utilizzare queste informazioni per regolare il loro AutoTrade scaling o semplicemente per comprendere le grandezze del grafico vicino.

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 266 days ago.

Show AutoTrade data Hide AutoTrade data
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Long
Short
Both
Win
Loss
Both
Opened Date/TimeSymbolDescriptionSideQuantAvg PriceClosed Date/TimeAvg PriceDrawdownP/L
12/11/24 18:04 @MESZ4 MICRO E-MINI S&P 500 LONG 12 6087.50 12/20 8:31 5839.25 56.74%
Trade id #150305429
Max drawdown$17,175
Time12/11/24 18:04
Quant open
Worst price5801.00
Drawdown as % of equity56.74%
 ($14,906)
Includes Typical Broker Commissions trade costs of $11.28
12/11/24 11:25 @MESZ4 MICRO E-MINI S&P 500 SHORT 12 6090.25 12/11 16:01 6089.25 0%
Trade id #150301108
Max drawdown$0
Time12/31/69 19:00
Quant open
Worst price5733.25
Drawdown as % of equity0.00%
 $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 0.12%
Trade id #150293404
Max drawdown$35
Time12/10/24 16:07
Quant open
Worst price6047.00
Drawdown as % of equity0.12%
 $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 0.3%
Trade id #150288726
Max drawdown$90
Time12/10/24 10:34
Quant open
Worst price6068.75
Drawdown as % of equity0.30%
 $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 0.22%
Trade id #150287952
Max drawdown$67
Time12/10/24 9:29
Quant open
Worst price6066.00
Drawdown as % of equity0.22%
 $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 0.77%
Trade id #150285016
Max drawdown$225
Time12/9/24 16:53
Quant open
Worst price6059.25
Drawdown as % of equity0.77%
 $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 0.23%
Trade id #150280026
Max drawdown$66
Time12/9/24 11:26
Quant open
Worst price6065.25
Drawdown as % of equity0.23%
 $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 0.08%
Trade id #150277893
Max drawdown$22
Time12/9/24 10:28
Quant open
Worst price6081.00
Drawdown as % of equity0.08%
 $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 0.32%
Trade id #150262949
Max drawdown$92
Time12/6/24 9:47
Quant open
Worst price6095.50
Drawdown as % of equity0.32%
 $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 0.22%
Trade id #150257525
Max drawdown$61
Time12/5/24 16:18
Quant open
Worst price6075.75
Drawdown as % of equity0.22%
 $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 0.18%
Trade id #150249986
Max drawdown$52
Time12/5/24 10:39
Quant open
Worst price6094.75
Drawdown as % of equity0.18%
 $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 0.02%
Trade id #150244800
Max drawdown$6
Time12/4/24 15:48
Quant open
Worst price6099.25
Drawdown as % of equity0.02%
 $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 0.53%
Trade id #150244102
Max drawdown$146
Time12/4/24 13:30
Quant open
Worst price6075.25
Drawdown as % of equity0.53%
 $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 0.08%
Trade id #150242061
Max drawdown$21
Time12/4/24 11:12
Quant open
Worst price6084.00
Drawdown as % of equity0.08%
 $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 0.27%
Trade id #150241732
Max drawdown$76
Time12/4/24 10:15
Quant open
Worst price6079.00
Drawdown as % of equity0.27%
 $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 0.24%
Trade id #150240603
Max drawdown$67
Time12/4/24 10:00
Quant open
Worst price6079.00
Drawdown as % of equity0.24%
 $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 0.14%
Trade id #150235712
Max drawdown$37
Time12/3/24 16:14
Quant open
Worst price6067.00
Drawdown as % of equity0.14%
 $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 2.7%
Trade id #150233921
Max drawdown$717
Time12/3/24 11:47
Quant open
Worst price6062.25
Drawdown as % of equity2.70%
 ($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 0.25%
Trade id #150231288
Max drawdown$67
Time12/3/24 10:27
Quant open
Worst price6052.50
Drawdown as % of equity0.25%
 $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 2.7%
Trade id #150225686
Max drawdown$705
Time12/2/24 14:16
Quant open
Worst price6056.00
Drawdown as % of equity2.70%
 $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 0.3%
Trade id #150222957
Max drawdown$78
Time12/2/24 10:57
Quant open
Worst price6052.00
Drawdown as % of equity0.30%
 $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 0.45%
Trade id #150221278
Max drawdown$116
Time12/2/24 9:58
Quant open
Worst price6052.50
Drawdown as % of equity0.45%
 $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 0.41%
Trade id #150211045
Max drawdown$107
Time12/1/24 23:59
Quant open
Worst price6035.50
Drawdown as % of equity0.41%
 $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 0.33%
Trade id #150194747
Max drawdown$83
Time11/28/24 23:59
Quant open
Worst price6018.50
Drawdown as % of equity0.33%
 $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 0.92%
Trade id #150174544
Max drawdown$230
Time11/27/24 8:43
Quant open
Worst price6014.00
Drawdown as % of equity0.92%
 $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$50
Time11/25/24 13:14
Quant open
Worst price5993.50
Drawdown as % of equity0.21%
 $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 0.86%
Trade id #150156988
Max drawdown$207
Time11/25/24 9:34
Quant open
Worst price6014.75
Drawdown as % of equity0.86%
 $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 18.79%
Trade id #150142823
Max drawdown$4,305
Time11/21/24 10:41
Quant open
Worst price5986.25
Drawdown as % of equity18.79%
 ($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 0%
Trade id #150141401
Max drawdown$0
Time12/31/69 19:00
Quant open
Worst price5733.25
Drawdown as % of equity0.00%
 $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 0.55%
Trade id #150140105
Max drawdown$125
Time11/21/24 8:31
Quant open
Worst price5947.25
Drawdown as % of equity0.55%
 $763
Includes Typical Broker Commissions trade costs of $19.74

Successivo

Statistics

  • Strategy began
    1/5/2024
  • Suggested Minimum Cap
    $25,000
  • Strategy Age (days)
    523.77
  • Age
    18 months ago
  • What it trades
    Futures
  • # Trades
    513
  • # Profitable
    432
  • % Profitable
    84.20%
  • Avg trade duration
    10.7 hours
  • Max peak-to-valley drawdown
    79.04%
  • drawdown period
    March 14, 2024 - Dec 30, 2024
  • Annual Return (Compounded)
    -35.4%
  • Avg win
    $319.00
  • Avg loss
    $1,753
  • Model Account Values (Raw)
  • Cash
    $20,729
  • Margin Used
    $0
  • Buying Power
    $20,729
  • Ratios
  • W:L ratio
    0.97:1
  • Sharpe Ratio
    0.03
  • Sortino Ratio
    0.04
  • Calmar Ratio
    -0.299
  • CORRELATION STATISTICS
  • Return of Strat Pcnt - Return of SP500 Pcnt (cumu)
    -75.03%
  • Correlation to SP500
    -0.01810
  • Return Percent SP500 (cumu) during strategy life
    27.79%
  • Return Statistics
  • Ann Return (w trading costs)
    -35.4%
  • Slump
  • Current Slump as Pcnt Equity
    190.80%
  • Instruments
  • Percent Trades Futures
    1.00%
  • Slump
  • Current Slump, time of slump as pcnt of strategy life
    0.87%
  • Return Statistics
  • Return Pcnt Since TOS Status
    n/a
  • Instruments
  • Short Options - Percent Covered
    100.00%
  • Return Statistics
  • Return Pcnt (Compound or Annual, age-based, NFA compliant)
    -0.354%
  • Instruments
  • Percent Trades Options
    n/a
  • Percent Trades Stocks
    n/a
  • Percent Trades Forex
    n/a
  • Return Statistics
  • Ann Return (Compnd, No Fees)
    -12.1%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
    100.00%
  • Chance of 20% account loss
    93.50%
  • Chance of 30% account loss
    85.00%
  • Chance of 40% account loss
    64.00%
  • Chance of 60% account loss (Monte Carlo)
    8.50%
  • Chance of 70% account loss (Monte Carlo)
    1.00%
  • Chance of 80% account loss (Monte Carlo)
    0.50%
  • Chance of 90% account loss (Monte Carlo)
    n/a
  • Automation
  • Percentage Signals Automated
    0.06%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 50% account loss
    33.50%
  • Popularity
  • Popularity (Today)
    0
  • Popularity (Last 6 weeks)
    463
  • Trading Style
  • Any stock shorts? 0/1
    0
  • Popularity
  • Popularity (7 days, Percentile 1000 scale)
    329
  • Trades-Own-System Certification
  • Trades Own System?
    -
  • TOS percent
    n/a
  • Win / Loss
  • Avg Loss
    $1,754
  • Avg Win
    $319
  • Sum Trade PL (losers)
    $142,053.000
  • Age
  • Num Months filled monthly returns table
    18
  • Win / Loss
  • Sum Trade PL (winners)
    $137,808.000
  • # Winners
    432
  • Num Months Winners
    6
  • Dividends
  • Dividends Received in Model Acct
    0
  • Win / Loss
  • # Losers
    81
  • % Winners
    84.2%
  • Frequency
  • Avg Position Time (mins)
    641.07
  • Avg Position Time (hrs)
    10.68
  • Avg Trade Length
    0.4 days
  • Last Trade Ago
    159
  • Leverage
  • Daily leverage (average)
    10.25
  • Daily leverage (max)
    26.37
  • Regression
  • Alpha
    0.01
  • Beta
    -0.10
  • Treynor Index
    -0.09
  • 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)
    0.03
  • MAE:Equity, average, winning trades
    0.00
  • MAE:Equity, average, losing trades
    -
  • Avg(MAE) / Avg(PL) - All trades
    0.029
  • 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
    -
  • Avg(MAE) / Avg(PL) - Winning trades
    0.029
  • Avg(MAE) / Avg(PL) - Losing trades
    -
  • Hold-and-Hope Ratio
    34.237
  • Analysis based on MONTHLY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.01223
  • SD
    0.72000
  • Sharpe ratio (Glass type estimate)
    0.01699
  • Sharpe ratio (Hedges UMVUE)
    0.01580
  • df
    11.00000
  • t
    0.01699
  • p
    0.49338
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -1.94334
  • Upperbound of 95% confidence interval for Sharpe Ratio
    1.97661
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -1.94417
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.97577
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.02338
  • Upside Potential Ratio
    2.09353
  • Upside part of mean
    1.09526
  • Downside part of mean
    -1.08302
  • Upside SD
    0.44891
  • Downside SD
    0.52316
  • N nonnegative terms
    7.00000
  • N negative terms
    5.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    12.00000
  • Mean of predictor
    0.21154
  • Mean of criterion
    0.01223
  • SD of predictor
    0.12954
  • SD of criterion
    0.72000
  • Covariance
    0.00808
  • r
    0.08662
  • b (slope, estimate of beta)
    0.48145
  • a (intercept, estimate of alpha)
    -0.08961
  • Mean Square Error
    0.56597
  • DF error
    10.00000
  • t(b)
    0.27495
  • p(b)
    0.39448
  • t(a)
    -0.10686
  • p(a)
    0.54149
  • Lowerbound of 95% confidence interval for beta
    -3.42016
  • Upperbound of 95% confidence interval for beta
    4.38306
  • Lowerbound of 95% confidence interval for alpha
    -1.95803
  • Upperbound of 95% confidence interval for alpha
    1.77880
  • Treynor index (mean / b)
    0.02541
  • Jensen alpha (a)
    -0.08961
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    -0.24259
  • SD
    0.75950
  • Sharpe ratio (Glass type estimate)
    -0.31941
  • Sharpe ratio (Hedges UMVUE)
    -0.29704
  • df
    11.00000
  • t
    -0.31941
  • p
    0.62230
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -2.27671
  • Upperbound of 95% confidence interval for Sharpe Ratio
    1.65209
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -2.26093
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.66685
  • Statistics related to Sortino ratio
  • Sortino ratio
    -0.40082
  • Upside Potential Ratio
    1.65857
  • Upside part of mean
    1.00383
  • Downside part of mean
    -1.24642
  • Upside SD
    0.40910
  • Downside SD
    0.60524
  • N nonnegative terms
    7.00000
  • N negative terms
    5.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    12.00000
  • Mean of predictor
    0.20160
  • Mean of criterion
    -0.24259
  • SD of predictor
    0.12981
  • SD of criterion
    0.75950
  • Covariance
    0.00764
  • r
    0.07748
  • b (slope, estimate of beta)
    0.45332
  • a (intercept, estimate of alpha)
    -0.33398
  • Mean Square Error
    0.63072
  • DF error
    10.00000
  • t(b)
    0.24574
  • p(b)
    0.40542
  • t(a)
    -0.38085
  • p(a)
    0.64436
  • Lowerbound of 95% confidence interval for beta
    -3.65685
  • Upperbound of 95% confidence interval for beta
    4.56348
  • Lowerbound of 95% confidence interval for alpha
    -2.28791
  • Upperbound of 95% confidence interval for alpha
    1.61996
  • Treynor index (mean / b)
    -0.53515
  • Jensen alpha (a)
    -0.33398
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.31672
  • Expected Shortfall on VaR
    0.37454
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.19012
  • Expected Shortfall on VaR
    0.33470
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    12.00000
  • Minimum
    0.72232
  • Quartile 1
    0.76866
  • Median
    1.06122
  • Quartile 3
    1.20465
  • Maximum
    1.21881
  • Mean of quarter 1
    0.73197
  • Mean of quarter 2
    0.92839
  • Mean of quarter 3
    1.14002
  • Mean of quarter 4
    1.21302
  • Inter Quartile Range
    0.43599
  • 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)
    -967603.00000
  • VaR(95%) (moments method)
    0.27610
  • Expected Shortfall (moments method)
    0.00000
  • Extreme Value Index (regression method)
    -10.36240
  • VaR(95%) (regression method)
    0.62076
  • Expected Shortfall (regression method)
    0.62076
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    1.00000
  • Minimum
    0.45170
  • Quartile 1
    0.45170
  • Median
    0.45170
  • Quartile 3
    0.45170
  • Maximum
    0.45170
  • Mean of quarter 1
    0.00000
  • Mean of quarter 2
    0.00000
  • Mean of quarter 3
    0.00000
  • Mean of quarter 4
    0.00000
  • Inter Quartile Range
    0.00000
  • 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)
    -0.19320
  • Compounded annual return (geometric extrapolation)
    -0.19320
  • Calmar ratio (compounded annual return / max draw down)
    -0.42773
  • Compounded annual return / average of 25% largest draw downs
    0.00000
  • Compounded annual return / Expected Shortfall lognormal
    -0.51584
  • 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
    0.18961
  • SD
    0.89229
  • Sharpe ratio (Glass type estimate)
    0.21249
  • Sharpe ratio (Hedges UMVUE)
    0.21191
  • df
    272.00000
  • t
    0.21691
  • p
    0.41422
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -1.70784
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.13247
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -1.70825
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.13206
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.27812
  • Upside Potential Ratio
    6.26402
  • Upside part of mean
    4.27039
  • Downside part of mean
    -4.08079
  • Upside SD
    0.57328
  • Downside SD
    0.68173
  • N nonnegative terms
    148.00000
  • N negative terms
    125.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    273.00000
  • Mean of predictor
    0.21379
  • Mean of criterion
    0.18961
  • SD of predictor
    0.18005
  • SD of criterion
    0.89229
  • Covariance
    -0.00260
  • r
    -0.01620
  • b (slope, estimate of beta)
    -0.08026
  • a (intercept, estimate of alpha)
    0.20700
  • Mean Square Error
    0.79892
  • DF error
    271.00000
  • t(b)
    -0.26665
  • p(b)
    0.60503
  • t(a)
    0.23550
  • p(a)
    0.40700
  • Lowerbound of 95% confidence interval for beta
    -0.67286
  • Upperbound of 95% confidence interval for beta
    0.51234
  • Lowerbound of 95% confidence interval for alpha
    -1.52178
  • Upperbound of 95% confidence interval for alpha
    1.93531
  • Treynor index (mean / b)
    -2.36234
  • Jensen alpha (a)
    0.20677
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    -0.23394
  • SD
    0.94177
  • Sharpe ratio (Glass type estimate)
    -0.24841
  • Sharpe ratio (Hedges UMVUE)
    -0.24772
  • df
    272.00000
  • t
    -0.25357
  • p
    0.59999
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -2.16842
  • Upperbound of 95% confidence interval for Sharpe Ratio
    1.67195
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -2.16790
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    1.67246
  • Statistics related to Sortino ratio
  • Sortino ratio
    -0.30204
  • Upside Potential Ratio
    5.32070
  • Upside part of mean
    4.12104
  • Downside part of mean
    -4.35498
  • Upside SD
    0.53292
  • Downside SD
    0.77453
  • N nonnegative terms
    148.00000
  • N negative terms
    125.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    273.00000
  • Mean of predictor
    0.19744
  • Mean of criterion
    -0.23394
  • SD of predictor
    0.18094
  • SD of criterion
    0.94177
  • Covariance
    -0.00033
  • r
    -0.00193
  • b (slope, estimate of beta)
    -0.01003
  • a (intercept, estimate of alpha)
    -0.23196
  • Mean Square Error
    0.89021
  • DF error
    271.00000
  • t(b)
    -0.03174
  • p(b)
    0.51265
  • t(a)
    -0.25039
  • p(a)
    0.59876
  • Lowerbound of 95% confidence interval for beta
    -0.63251
  • Upperbound of 95% confidence interval for beta
    0.61244
  • Lowerbound of 95% confidence interval for alpha
    -2.05583
  • Upperbound of 95% confidence interval for alpha
    1.59191
  • Treynor index (mean / b)
    23.31340
  • Jensen alpha (a)
    -0.23196
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.09208
  • Expected Shortfall on VaR
    0.11368
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.03300
  • Expected Shortfall on VaR
    0.07255
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    273.00000
  • Minimum
    0.61666
  • Quartile 1
    0.98747
  • Median
    1.00353
  • Quartile 3
    1.02297
  • Maximum
    1.33408
  • Mean of quarter 1
    0.94094
  • Mean of quarter 2
    0.99795
  • Mean of quarter 3
    1.01251
  • Mean of quarter 4
    1.05280
  • Inter Quartile Range
    0.03550
  • Number outliers low
    17.00000
  • Percentage of outliers low
    0.06227
  • Mean of outliers low
    0.86634
  • Number of outliers high
    12.00000
  • Percentage of outliers high
    0.04396
  • Mean of outliers high
    1.12654
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    0.38098
  • VaR(95%) (moments method)
    0.04718
  • Expected Shortfall (moments method)
    0.09378
  • Extreme Value Index (regression method)
    0.36155
  • VaR(95%) (regression method)
    0.05136
  • Expected Shortfall (regression method)
    0.10103
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    12.00000
  • Minimum
    0.00022
  • Quartile 1
    0.01155
  • Median
    0.02436
  • Quartile 3
    0.04107
  • Maximum
    0.62273
  • Mean of quarter 1
    0.00314
  • Mean of quarter 2
    0.01938
  • Mean of quarter 3
    0.03127
  • Mean of quarter 4
    0.33275
  • Inter Quartile Range
    0.02951
  • 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
    0.16667
  • Mean of outliers high
    0.47778
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    -25.68040
  • VaR(95%) (moments method)
    0.14768
  • Expected Shortfall (moments method)
    0.14768
  • Extreme Value Index (regression method)
    -1.00124
  • VaR(95%) (regression method)
    0.72438
  • Expected Shortfall (regression method)
    0.81849
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    -0.18542
  • Compounded annual return (geometric extrapolation)
    -0.18619
  • Calmar ratio (compounded annual return / max draw down)
    -0.29900
  • Compounded annual return / average of 25% largest draw downs
    -0.55956
  • Compounded annual return / Expected Shortfall lognormal
    -1.63790
  • 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
    0.09478
  • SD
    1.18312
  • Sharpe ratio (Glass type estimate)
    0.08011
  • Sharpe ratio (Hedges UMVUE)
    0.07965
  • df
    130.00000
  • t
    0.05665
  • p
    0.49752
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -2.69184
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.85181
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -2.69218
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.85147
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.10475
  • Upside Potential Ratio
    6.35822
  • Upside part of mean
    5.75289
  • Downside part of mean
    -5.65811
  • Upside SD
    0.75530
  • Downside SD
    0.90480
  • N nonnegative terms
    64.00000
  • N negative terms
    67.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.13365
  • Mean of criterion
    0.09478
  • SD of predictor
    0.23501
  • SD of criterion
    1.18312
  • Covariance
    0.00550
  • r
    0.01980
  • b (slope, estimate of beta)
    0.09967
  • a (intercept, estimate of alpha)
    0.08146
  • Mean Square Error
    1.41007
  • DF error
    129.00000
  • t(b)
    0.22491
  • p(b)
    0.48740
  • t(a)
    0.04847
  • p(a)
    0.49728
  • Lowerbound of 95% confidence interval for beta
    -0.77714
  • Upperbound of 95% confidence interval for beta
    0.97649
  • Lowerbound of 95% confidence interval for alpha
    -3.24320
  • Upperbound of 95% confidence interval for alpha
    3.40612
  • Treynor index (mean / b)
    0.95089
  • Jensen alpha (a)
    0.08146
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    -0.65367
  • SD
    1.25768
  • Sharpe ratio (Glass type estimate)
    -0.51974
  • Sharpe ratio (Hedges UMVUE)
    -0.51674
  • df
    130.00000
  • t
    -0.36751
  • p
    0.51611
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -3.29130
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.25375
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -3.28925
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.25578
  • Statistics related to Sortino ratio
  • Sortino ratio
    -0.62672
  • Upside Potential Ratio
    5.27047
  • Upside part of mean
    5.49715
  • Downside part of mean
    -6.15082
  • Upside SD
    0.69531
  • Downside SD
    1.04301
  • N nonnegative terms
    64.00000
  • N negative terms
    67.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.10600
  • Mean of criterion
    -0.65367
  • SD of predictor
    0.23643
  • SD of criterion
    1.25768
  • Covariance
    0.01025
  • r
    0.03448
  • b (slope, estimate of beta)
    0.18344
  • a (intercept, estimate of alpha)
    -0.67312
  • Mean Square Error
    1.59213
  • DF error
    129.00000
  • t(b)
    0.39190
  • p(b)
    0.47805
  • t(a)
    -0.37706
  • p(a)
    0.52112
  • VAR (95 Confidence Intrvl)
    0.09200
  • Lowerbound of 95% confidence interval for beta
    -0.74265
  • Upperbound of 95% confidence interval for beta
    1.10953
  • Lowerbound of 95% confidence interval for alpha
    -4.20506
  • Upperbound of 95% confidence interval for alpha
    2.85883
  • Treynor index (mean / b)
    -3.56345
  • Jensen alpha (a)
    -0.67312
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.12217
  • Expected Shortfall on VaR
    0.14986
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.04951
  • Expected Shortfall on VaR
    0.10583
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    131.00000
  • Minimum
    0.61666
  • Quartile 1
    0.98667
  • Median
    1.00000
  • Quartile 3
    1.02902
  • Maximum
    1.33408
  • Mean of quarter 1
    0.91700
  • Mean of quarter 2
    0.99749
  • Mean of quarter 3
    1.01695
  • Mean of quarter 4
    1.07093
  • Inter Quartile Range
    0.04235
  • Number outliers low
    12.00000
  • Percentage of outliers low
    0.09160
  • Mean of outliers low
    0.84835
  • Number of outliers high
    8.00000
  • Percentage of outliers high
    0.06107
  • Mean of outliers high
    1.14671
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    -0.56813
  • VaR(95%) (moments method)
    0.04853
  • Expected Shortfall (moments method)
    0.05720
  • Extreme Value Index (regression method)
    0.23488
  • VaR(95%) (regression method)
    0.07421
  • Expected Shortfall (regression method)
    0.13340
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    2.00000
  • Minimum
    0.02844
  • Quartile 1
    0.17701
  • Median
    0.32558
  • Quartile 3
    0.47415
  • Maximum
    0.62273
  • Mean of quarter 1
    0.02844
  • Mean of quarter 2
    0.00000
  • Mean of quarter 3
    0.00000
  • Mean of quarter 4
    0.62273
  • Inter Quartile Range
    0.29714
  • 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
    n/a
  • Expected Shortfall (regression method)
    0.00000
  • Strat Max DD how much worse than SP500 max DD during strat life?
    -351348000
  • Max Equity Drawdown (num days)
    291
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    -0.53733
  • Compounded annual return (geometric extrapolation)
    -0.46515
  • Calmar ratio (compounded annual return / max draw down)
    -0.74695
  • Compounded annual return / average of 25% largest draw downs
    -0.74695
  • Compounded annual return / Expected Shortfall lognormal
    -3.10383

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
-0.018
Sharpe Ratio
0.03
Sortino Ratio
0.04
Beta
-0.10
Alpha
0.01
Leverage
10.25 Average
26.37 Maximum

Sommario
Leva finanziaria più alta = maggiore rischio.

Ulteriori informazioni sulla leva finanziaria

Collective2 calcola la leva finanziaria massima utilizzata da una strategia in ogni giorno. Mostriamo quindi la media di queste misurazioni (cioè la media della leva finanziaria massima giornaliera) e la più grande di queste misurazioni (leva finanziaria massima giornaliera).

La leva finanziaria è il rapporto tra il valore nozionale totale controllato da una strategia e il patrimonio del Model Account. Generalmente, una leva finanziaria più alta implica un rischio maggiore.

Esempio di calcolo:
La Strategia acquista 100 azioni a $12 per azione.
Il patrimonio del Model Account durante quel giorno è di $5.000.
La leva finanziaria è: $1200 / $5.000 = 0,24

Questa è una misurazione utile, ma deve essere considerata nel contesto. Questa misurazione non tiene conto di fattori importanti, come quando si detengono più posizioni che sono inversamente correlate. Né la misurazione tiene conto della volatilità degli strumenti detenuti.

Inoltre, alcune classi di attività sono per loro natura più leveraged di altre. Ad esempio, i contratti futures sono altamente leveraged. Le posizioni Forex sono spesso ancora più leveraged dei futures.

Latest Activity

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Trade journal

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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.



Riguardo ai risultati che vedi su questo sito web

I risultati passati non sono necessariamente indicativi dei risultati futuri.

Questi risultati si basano su performance simulate o ipotetiche che presentano alcune limitazioni intrinseche. A differenza dei risultati mostrati in un registro delle prestazioni effettive, questi risultati non rappresentano trading effettivo. Inoltre, poiché queste operazioni non sono state effettivamente eseguite, questi risultati potrebbero aver sotto o sovrastimato l'impatto, se presente, di alcuni fattori di mercato, come la mancanza di liquidità. I programmi di trading simulati o ipotetici in generale sono soggetti anche al fatto che sono progettati con il beneficio del senno di poi. Non viene fatta alcuna rappresentazione che qualsiasi conto raggiungerà o sarà probabile ottenere profitti o perdite simili a quelli mostrati.

Inoltre, il trading ipotetico non comporta rischio finanziario e nessun record di trading ipotetico può tener conto completamente dell'impatto del rischio finanziario nel trading effettivo. Ad esempio, la capacità di sopportare perdite o di attenersi a un particolare programma di trading nonostante le perdite commerciali sono punti materiali che possono influire negativamente sui risultati del trading effettivo. Ci sono numerosi altri fattori legati ai mercati in generale o all'attuazione di qualsiasi specifico programma di trading, che non possono essere pienamente contabilizzati nella preparazione dei risultati delle prestazioni ipotetiche e tutti i quali possono influire negativamente sui risultati del trading effettivo.

Ipotesi e metodi materiali utilizzati nel calcolo dei risultati

Le seguenti sono ipotesi materiali utilizzate nel calcolo di eventuali risultati mensili ipotetici che appaiono sul nostro sito web.

  • I profitti vengono reinvestiti. Presumiamo che i profitti (quando ci sono) vengano reinvestiti nella strategia di trading.
  • Dimensione dell'investimento iniziale. Per qualsiasi strategia di trading sul nostro sito, i risultati ipotetici si basano sull'ipotesi che tu abbia investito l'importo iniziale mostrato sul grafico delle prestazioni della strategia. In alcuni casi, gli importi nominali in dollari sul grafico del patrimonio sono stati ridimensionati verso il basso per rendere le dimensioni di trading attuali più gestibili. In questi casi, potrebbe non essere stato possibile scambiare la strategia storicamente ai livelli di patrimonio mostrati sul grafico e un capitale minimo più elevato era richiesto in passato.
  • Tutte le spese sono incluse. Nel calcolo dei rendimenti cumulativi, cerchiamo di stimare e includere tutte le spese che un tipico trader sostiene quando fa AutoTrading utilizzando la tecnologia AutoTrade. Ciò include il costo dell'abbonamento alla strategia, più eventuali commissioni per operazione di AutoTrade, più le commissioni di intermediazione stimate, se presenti.
  • Metodo di calcolo del "Max Drawdown". Calcoliamo la statistica Max Drawdown come segue. Il nostro software informatico esamina il grafico del patrimonio del sistema in questione e trova la percentuale più grande in cui il grafico del patrimonio diminuisce mai da un "picco" locale a un punto successivo nel tempo (quindi questo è formalmente chiamato "Massimo calo dal picco alla valle"). Sebbene queste informazioni siano utili nella valutazione dei sistemi di trading, dovresti tenere presente che le prestazioni passate non garantiscono risultati futuri. Pertanto, i cali futuri potrebbero essere maggiori rispetto ai massimi cali storici che vedi qui.

Il trading è rischioso

C'è un rischio sostanziale di perdita nel trading di futures e forex. Il trading online di azioni e opzioni è estremamente rischioso. Presumi che perderai denaro. Non fare trading con denaro che non puoi permetterti di perdere.

Va bene, capito.

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