Collective2 Collective2
Featured Strategy MT3 Algotrading +79.6% Annual Return (Compounded) since Mar 31, 2023 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
These are hypothetical performance results that have certain inherent limitations. Learn more
Listing Edit Subscribers Broadcast More...

Trades-Own-Strategy Certification

This system has earned Trades-Own-Strategy (TOS) Certification. This means that the manager of this system trades his own strategy in a real-life, funded brokerage account.

Trades-Own-Strategy (TOS) Certification Details
Certification process started 12/19/2022
Most recent certification approved 12/19/22 15:35 ET
Trades at broker Interactive Brokers (server 2 / Stocks, Option, Futures)
Scaling percentage used 100%
# trading signals issued by system since certification 1,164
# trading signals executed in manager's Interactive Brokers (server 2 / Stocks, Option, Futures) account 1,164
Percent signals followed since 12/19/2022 100%
This information was last updated 12/26/24 12:50 ET

Warning: System trading results are still hypothetical.

Even though the system developer is currently trading his own system in a real-life brokerage account, the trading results presented on this Web site must still be regarded as purely hypothetical results. This is because (among other reasons) the system developer may not have traded all signals, particularly those that occurred before 12/19/2022, and the system developer's results may not match the system results presented here. In addition, not all subscribers have received the same trades or prices as the system manager has. For these reasons, and others, it is extremely important you remember the following:

About the results you see on this Web site

Past results are not necessarily indicative of future results.

These results are based on simulated or hypothetical performance results. Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program.

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

You may be interested to learn more technical details about how Collective2 calculates the hypothetical results you see on this web site.

Best Combo
(142930966)

Powered by BrokerTransmit.
Read important disclosures.

Created by: PatienceToInvest_com PatienceToInvest_com
Started: 12/2022
Stocks
Last trade: 7 days ago
Trading style: Equity Trend-following

Subscriptions not available

No subscriptions are currently available for this strategy because the strategy manager has capped the maximum number of subscribers.

Subscription terms. Subscriptions to this system cost $125.00 per month.

C2Star

C2Star is a certification program for trading strategies. In order to become "C2Star Certified," a strategy must apply tight risk controls, and must exhibit excellent performance characteristics, including low drawdowns.

You can read more about C2Star certification requirements here.

Note that: all trading strategies are risky, and C2Star Certification does not imply that a strategy is low risk.

Trading Category: Equity
Trend-following
Category: Equity

Trend-following

Tries to take advantage of long, medium or short-term moves that seem to play out in various markets. Typically, trend-following analysis is backward looking; that is, it attempts to recognize and profit from already-established trends.
39.0%
Annual Return (Compounded)

Rate of Return Calculations

Overview

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

How Annualized (Compounded) Rate of Return is calculated

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

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

All results are hypothetical.

(20.1%)
Max Drawdown
120
Num Trades
46.7%
Win Trades
2.1 : 1
Profit Factor
68.0%
Win Months
Hypothetical Monthly Returns (includes system fee and Typical Broker commissions and fees)
 JanFebMarAprMayJunJulAugSepOctNovDecYTD
2022                                                                             +1.1%+1.1%
2023+6.9%(4.6%)+5.2%+6.0%+9.6%+22.3%+7.3%(7.7%)(9.8%)+1.3%+11.6%+12.2%+72.6%
2024(1.1%)+13.2%+2.4%(17.5%)+8.8%+6.7%+2.6%(1.6%)(4.6%)(6.1%)+9.0%+3.2%+11.8%

Model Account Details

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

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

System developer has asked us to delay this information by 168 hours.

Trading Record

This strategy has placed 1,164 trades in real-life brokerage accounts. To see live brokerage data, select Show AutoTrade Data, and click on a Live AutoTrade Indicator symbol.

Show AutoTrade data Hide AutoTrade data
Download CSV
Long
Short
Both
Win
Loss
Both
Opened Date/TimeSymbolDescriptionSideQuantAvg PriceClosed Date/TimeAvg PriceDrawdownP/L
9/4/24 15:54 SVIX VS TR -1X SHORT VIX FUTURES ETF LONG 17,008 25.54 12/18 15:45 25.10 2.67%
Trade id #149254636
Max drawdown($5,252)
Time10/31/24 0:00
Quant open1,920
Worst price22.38
Drawdown as % of equity-2.67%
 ($7,599)
Includes Typical Broker Commissions trade costs of $110.12
11/26/24 15:47 IBIT ISHARES BITCOIN TRUST LONG 120 52.15 11/27 15:45 55.11 0.03%
Trade id #150189077
Max drawdown($68)
Time11/26/24 15:59
Quant open120
Worst price51.58
Drawdown as % of equity-0.03%
 $353
Includes Typical Broker Commissions trade costs of $2.40
9/3/24 15:49 TMF DIREXION DAILY 20-YR TREASURY BULL 3X SHRS LONG 2,401 53.29 11/22 15:17 52.35 2.85%
Trade id #149239042
Max drawdown($5,573)
Time11/6/24 0:00
Quant open576
Worst price43.80
Drawdown as % of equity-2.85%
 ($2,298)
Includes Typical Broker Commissions trade costs of $40.36
11/11/24 15:51 IBIT ISHARES BITCOIN TRUST LONG 233 50.88 11/19 15:45 52.57 0.08%
Trade id #150059408
Max drawdown($170)
Time11/12/24 0:00
Quant open126
Worst price48.52
Drawdown as % of equity-0.08%
 $390
Includes Typical Broker Commissions trade costs of $4.66
10/30/24 15:47 BTGD STKD BITCOIN & GOLD ETF LONG 658 22.29 11/15 15:53 25.89 0.62%
Trade id #149909355
Max drawdown($1,178)
Time11/4/24 0:00
Quant open658
Worst price20.50
Drawdown as % of equity-0.62%
 $2,354
Includes Typical Broker Commissions trade costs of $10.64
11/13/24 15:47 TQQQ PROSHARES ULTRAPRO QQQ LONG 197 82.25 11/15 15:53 75.51 0.48%
Trade id #150080234
Max drawdown($989)
Time11/15/24 9:30
Quant open197
Worst price77.22
Drawdown as % of equity-0.48%
 ($1,331)
Includes Typical Broker Commissions trade costs of $3.94
10/25/24 15:47 TQQQ PROSHARES ULTRAPRO QQQ LONG 1,241 76.80 11/11 15:45 77.08 1.31%
Trade id #149844235
Max drawdown($2,586)
Time10/31/24 0:00
Quant open406
Worst price69.43
Drawdown as % of equity-1.31%
 $323
Includes Typical Broker Commissions trade costs of $24.82
11/6/24 15:47 IBIT ISHARES BITCOIN TRUST LONG 138 43.23 11/7 15:45 43.54 0.05%
Trade id #150015696
Max drawdown($104)
Time11/7/24 9:48
Quant open138
Worst price42.47
Drawdown as % of equity-0.05%
 $40
Includes Typical Broker Commissions trade costs of $2.76
7/17/24 15:59 UPRO PROSHARES ULTRAPRO S&P 500 LONG 3,975 79.65 11/7 15:45 81.93 3.25%
Trade id #148674734
Max drawdown($6,998)
Time8/5/24 0:00
Quant open453
Worst price61.71
Drawdown as % of equity-3.25%
 $8,979
Includes Typical Broker Commissions trade costs of $76.66
10/11/24 15:47 BITO PROSHARES BITCOIN STRATEGY ETF LONG 484 19.14 10/30 15:45 20.48 0%
Trade id #149642189
Max drawdown($6)
Time10/11/24 15:52
Quant open277
Worst price17.93
Drawdown as % of equity-0.00%
 $638
Includes Typical Broker Commissions trade costs of $9.68
4/11/24 15:53 GLD SPDR GOLD SHARES LONG 369 219.66 10/30 15:45 226.94 0.51%
Trade id #147878686
Max drawdown($1,044)
Time6/7/24 0:00
Quant open136
Worst price211.54
Drawdown as % of equity-0.51%
 $2,678
Includes Typical Broker Commissions trade costs of $7.38
10/22/24 15:47 TQQQ PROSHARES ULTRAPRO QQQ LONG 211 75.48 10/23 15:45 71.79 0.35%
Trade id #149799118
Max drawdown($693)
Time10/23/24 14:04
Quant open141
Worst price70.56
Drawdown as % of equity-0.35%
 ($781)
Includes Typical Broker Commissions trade costs of $4.22
10/8/24 15:48 TQQQ PROSHARES ULTRAPRO QQQ LONG 401 72.79 10/16 15:45 73.31 0.15%
Trade id #149609617
Max drawdown($291)
Time10/9/24 0:00
Quant open400
Worst price72.06
Drawdown as % of equity-0.15%
 $200
Includes Typical Broker Commissions trade costs of $8.02
10/4/24 15:47 TQQQ PROSHARES ULTRAPRO QQQ LONG 206 71.72 10/7 15:45 69.44 0.21%
Trade id #149583769
Max drawdown($417)
Time10/7/24 14:46
Quant open206
Worst price69.69
Drawdown as % of equity-0.21%
 ($473)
Includes Typical Broker Commissions trade costs of $4.12
9/25/24 15:47 TQQQ PROSHARES ULTRAPRO QQQ LONG 204 71.51 9/27 15:45 71.92 0.01%
Trade id #149507455
Max drawdown($24)
Time9/27/24 14:31
Quant open204
Worst price71.39
Drawdown as % of equity-0.01%
 $80
Includes Typical Broker Commissions trade costs of $4.08
9/10/24 15:47 TQQQ PROSHARES ULTRAPRO QQQ LONG 300 61.45 9/16 15:45 64.19 0.35%
Trade id #149350136
Max drawdown($694)
Time9/11/24 0:00
Quant open235
Worst price57.77
Drawdown as % of equity-0.35%
 $817
Includes Typical Broker Commissions trade costs of $6.00
9/4/24 15:54 TQQQ PROSHARES ULTRAPRO QQQ LONG 233 61.59 9/6 15:46 58.58 0.26%
Trade id #149254630
Max drawdown($522)
Time9/6/24 10:40
Quant open156
Worst price58.24
Drawdown as % of equity-0.26%
 ($707)
Includes Typical Broker Commissions trade costs of $4.66
8/14/24 15:48 SVIX VS TR -1X SHORT VIX FUTURES ETF LONG 1,523 30.63 9/3 15:47 24.90 4.5%
Trade id #148919953
Max drawdown($8,917)
Time9/3/24 15:47
Quant open1,523
Worst price24.77
Drawdown as % of equity-4.50%
 ($8,729)
Includes Typical Broker Commissions trade costs of $5.00
11/30/23 15:49 TQQQ PROSHARES ULTRAPRO QQQ LONG 6,274 54.44 9/3/24 15:47 58.43 1.43%
Trade id #146582009
Max drawdown($2,466)
Time12/4/23 0:00
Quant open1,484
Worst price41.73
Drawdown as % of equity-1.43%
 $24,913
Includes Typical Broker Commissions trade costs of $100.60
8/6/24 15:49 TMF DIREXION DAILY 20-YR TREASURY BULL 3X SHRS LONG 774 56.94 8/14 15:46 58.32 1.48%
Trade id #148849141
Max drawdown($2,881)
Time8/8/24 0:00
Quant open774
Worst price53.22
Drawdown as % of equity-1.48%
 $1,064
Includes Typical Broker Commissions trade costs of $5.00
8/5/24 15:51 UVIX VS TRUST - 2X LONG VIX FUTURES ETF LONG 1,318 18.81 8/6 15:46 7.99 7.32%
Trade id #148835689
Max drawdown($14,653)
Time8/6/24 13:39
Quant open1,318
Worst price7.69
Drawdown as % of equity-7.32%
 ($14,271)
Includes Typical Broker Commissions trade costs of $8.29
7/19/24 15:35 TMF DIREXION DAILY 20-YR TREASURY BULL 3X SHRS LONG 1,316 50.64 8/5 15:46 57.82 0.71%
Trade id #148696839
Max drawdown($1,528)
Time7/24/24 0:00
Quant open701
Worst price47.83
Drawdown as % of equity-0.71%
 $9,420
Includes Typical Broker Commissions trade costs of $15.69
8/2/24 15:48 BITO PROSHARES BITCOIN STRATEGY ETF LONG 491 20.35 8/5 15:46 17.24 0.96%
Trade id #148811994
Max drawdown($2,062)
Time8/5/24 9:30
Quant open491
Worst price16.15
Drawdown as % of equity-0.96%
 ($1,539)
Includes Typical Broker Commissions trade costs of $9.82
10/13/23 15:49 BITO PROSHARES BITCOIN STRATEGY ETF LONG 5,687 20.68 8/1/24 15:51 24.56 0.01%
Trade id #146126897
Max drawdown($22)
Time8/1/24 15:51
Quant open428
Worst price20.63
Drawdown as % of equity-0.01%
 $21,996
Includes Typical Broker Commissions trade costs of $65.91
5/31/24 15:53 SVIX VS TR -1X SHORT VIX FUTURES ETF LONG 1,744 46.01 7/17 15:51 48.71 1.36%
Trade id #148304850
Max drawdown($2,683)
Time6/4/24 0:00
Quant open1,635
Worst price44.28
Drawdown as % of equity-1.36%
 $4,698
Includes Typical Broker Commissions trade costs of $8.89
5/31/24 15:53 UPRO PROSHARES ULTRAPRO S&P 500 LONG 355 69.56 6/4 15:51 70.58 0.07%
Trade id #148304844
Max drawdown($139)
Time6/4/24 12:08
Quant open355
Worst price69.17
Drawdown as % of equity-0.07%
 $354
Includes Typical Broker Commissions trade costs of $7.10
5/29/24 15:53 TMF DIREXION DAILY 20-YR TREASURY BULL 3X SHRS LONG 562 44.97 5/31 15:51 46.95 0.02%
Trade id #148282785
Max drawdown($37)
Time5/29/24 15:59
Quant open562
Worst price44.90
Drawdown as % of equity-0.02%
 $1,108
Includes Typical Broker Commissions trade costs of $5.00
5/24/24 15:53 UPRO PROSHARES ULTRAPRO S&P 500 LONG 364 71.01 5/30 15:51 68.09 0.58%
Trade id #148253972
Max drawdown($1,137)
Time5/30/24 15:49
Quant open364
Worst price67.89
Drawdown as % of equity-0.58%
 ($1,072)
Includes Typical Broker Commissions trade costs of $7.28
5/15/24 15:53 SVIX VS TR -1X SHORT VIX FUTURES ETF LONG 1,664 46.13 5/29 15:51 44.41 1.87%
Trade id #148178517
Max drawdown($3,806)
Time5/29/24 9:37
Quant open1,664
Worst price43.84
Drawdown as % of equity-1.87%
 ($2,855)
Includes Typical Broker Commissions trade costs of $5.00
3/11/24 15:50 UPRO PROSHARES ULTRAPRO S&P 500 LONG 1,914 63.87 5/23 15:51 66.98 1.54%
Trade id #147595585
Max drawdown($2,838)
Time4/19/24 0:00
Quant open381
Worst price58.74
Drawdown as % of equity-1.54%
 $5,918
Includes Typical Broker Commissions trade costs of $33.39
Next

Statistics

  • Strategy began
    12/19/2022
  • Suggested Minimum Cap
    $30,000
  • Strategy Age (days)
    737.83
  • Age
    25 months ago
  • What it trades
    Stocks
  • # Trades
    120
  • # Profitable
    56
  • % Profitable
    46.70%
  • Avg trade duration
    23.5 days
  • Max peak-to-valley drawdown
    20.12%
  • drawdown period
    July 27, 2023 - Aug 18, 2023
  • Annual Return (Compounded)
    39.0%
  • Avg win
    $3,464
  • Avg loss
    $1,549
  • Model Account Values (Raw)
  • Cash
    $136,023
  • Margin Used
    $0
  • Buying Power
    $151,711
  • Ratios
  • W:L ratio
    2.11:1
  • Sharpe Ratio
    1.19
  • Sortino Ratio
    1.65
  • Calmar Ratio
    2.238
  • CORRELATION STATISTICS
  • Return of Strat Pcnt - Return of SP500 Pcnt (cumu)
    36.95%
  • Correlation to SP500
    0.58040
  • Return Percent SP500 (cumu) during strategy life
    58.21%
  • Return Statistics
  • Ann Return (w trading costs)
    39.0%
  • Slump
  • Current Slump as Pcnt Equity
    6.00%
  • Instruments
  • Percent Trades Futures
    n/a
  • Slump
  • Current Slump, time of slump as pcnt of strategy life
    0.22%
  • Instruments
  • Short Options - Percent Covered
    100.00%
  • Return Statistics
  • Return Pcnt (Compound or Annual, age-based, NFA compliant)
    0.390%
  • Instruments
  • Percent Trades Options
    n/a
  • Percent Trades Stocks
    1.00%
  • Percent Trades Forex
    n/a
  • Return Statistics
  • Ann Return (Compnd, No Fees)
    40.8%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
    38.00%
  • Chance of 20% account loss
    11.50%
  • Chance of 30% account loss
    1.00%
  • Chance of 40% account loss
    0.50%
  • Chance of 60% account loss (Monte Carlo)
    n/a
  • Chance of 70% account loss (Monte Carlo)
    n/a
  • Chance of 80% account loss (Monte Carlo)
    n/a
  • Chance of 90% account loss (Monte Carlo)
    n/a
  • Automation
  • Percentage Signals Automated
    n/a
  • Risk of Ruin (Monte-Carlo)
  • Chance of 50% account loss
    n/a
  • Popularity
  • Popularity (Today)
    765
  • Popularity (Last 6 weeks)
    910
  • Trading Style
  • Any stock shorts? 0/1
    0
  • Popularity
  • C2 Score
    943
  • Popularity (7 days, Percentile 1000 scale)
    734
  • Trades-Own-System Certification
  • Trades Own System?
    Yes
  • TOS percent
    100%
  • Win / Loss
  • Avg Loss
    $1,550
  • Avg Win
    $3,465
  • Sum Trade PL (losers)
    $99,177.000
  • Age
  • Num Months filled monthly returns table
    25
  • Win / Loss
  • Sum Trade PL (winners)
    $194,020.000
  • # Winners
    56
  • Num Months Winners
    17
  • Dividends
  • Dividends Received in Model Acct
    14982
  • AUM
  • AUM (AutoTrader live capital)
    310875
  • Win / Loss
  • # Losers
    64
  • % Winners
    46.7%
  • Frequency
  • Avg Position Time (mins)
    33816.80
  • Avg Position Time (hrs)
    563.61
  • Avg Trade Length
    23.5 days
  • Last Trade Ago
    3
  • Leverage
  • Daily leverage (average)
    1.21
  • Daily leverage (max)
    2.16
  • Regression
  • Alpha
    0.03
  • Beta
    1.07
  • Treynor Index
    0.09
  • Maximum Adverse Excursion (MAE)
  • MAE:Equity, average, all trades
    0.01
  • MAE:PL - worst single value for strategy
    -
  • MAE:PL (avg, winning trades)
    -
  • MAE:PL (avg, losing trades)
    -
  • MAE:PL (avg, all trades)
    0.10
  • MAE:Equity, average, winning trades
    0.00
  • MAE:Equity, average, losing trades
    0.01
  • Avg(MAE) / Avg(PL) - All trades
    1.908
  • MAE:Equity, losing trades only, 95th Percentile Value for this strat
    -
  • MAE:Equity, win trades only, 95th Percentile Value for this strat
    -
  • MAE:Equity, 95th Percentile Value for this strat
    0.00
  • Avg(MAE) / Avg(PL) - Winning trades
    0.234
  • Avg(MAE) / Avg(PL) - Losing trades
    -1.284
  • Hold-and-Hope Ratio
    0.542
  • Analysis based on MONTHLY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.34948
  • SD
    0.27279
  • Sharpe ratio (Glass type estimate)
    1.28113
  • Sharpe ratio (Hedges UMVUE)
    1.23882
  • df
    23.00000
  • t
    1.81179
  • p
    0.04155
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.16577
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.70217
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.19258
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.67021
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.29260
  • Upside Potential Ratio
    3.80607
  • Upside part of mean
    0.58019
  • Downside part of mean
    -0.23071
  • Upside SD
    0.24136
  • Downside SD
    0.15244
  • N nonnegative terms
    17.00000
  • N negative terms
    7.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    24.00000
  • Mean of predictor
    0.20747
  • Mean of criterion
    0.34948
  • SD of predictor
    0.08964
  • SD of criterion
    0.27279
  • Covariance
    0.01638
  • r
    0.67006
  • b (slope, estimate of beta)
    2.03914
  • a (intercept, estimate of alpha)
    -0.07359
  • Mean Square Error
    0.04287
  • DF error
    22.00000
  • t(b)
    4.23388
  • p(b)
    0.00017
  • t(a)
    -0.41517
  • p(a)
    0.65898
  • Lowerbound of 95% confidence interval for beta
    1.04031
  • Upperbound of 95% confidence interval for beta
    3.03798
  • Lowerbound of 95% confidence interval for alpha
    -0.44119
  • Upperbound of 95% confidence interval for alpha
    0.29401
  • Treynor index (mean / b)
    0.17138
  • Jensen alpha (a)
    -0.07359
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.30933
  • SD
    0.26972
  • Sharpe ratio (Glass type estimate)
    1.14684
  • Sharpe ratio (Hedges UMVUE)
    1.10896
  • df
    23.00000
  • t
    1.62188
  • p
    0.05923
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.28944
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.55965
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.31351
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.53144
  • Statistics related to Sortino ratio
  • Sortino ratio
    1.90780
  • Upside Potential Ratio
    3.40510
  • Upside part of mean
    0.55209
  • Downside part of mean
    -0.24277
  • Upside SD
    0.22672
  • Downside SD
    0.16214
  • N nonnegative terms
    17.00000
  • N negative terms
    7.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    24.00000
  • Mean of predictor
    0.20148
  • Mean of criterion
    0.30933
  • SD of predictor
    0.08869
  • SD of criterion
    0.26972
  • Covariance
    0.01634
  • r
    0.68322
  • b (slope, estimate of beta)
    2.07782
  • a (intercept, estimate of alpha)
    -0.10931
  • Mean Square Error
    0.04055
  • DF error
    22.00000
  • t(b)
    4.38850
  • p(b)
    0.00012
  • t(a)
    -0.63777
  • p(a)
    0.73490
  • Lowerbound of 95% confidence interval for beta
    1.09590
  • Upperbound of 95% confidence interval for beta
    3.05973
  • Lowerbound of 95% confidence interval for alpha
    -0.46477
  • Upperbound of 95% confidence interval for alpha
    0.24615
  • Treynor index (mean / b)
    0.14887
  • Jensen alpha (a)
    -0.10931
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.09724
  • Expected Shortfall on VaR
    0.12577
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.02990
  • Expected Shortfall on VaR
    0.06762
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    24.00000
  • Minimum
    0.85748
  • Quartile 1
    0.98817
  • Median
    1.03672
  • Quartile 3
    1.08288
  • Maximum
    1.20256
  • Mean of quarter 1
    0.92688
  • Mean of quarter 2
    1.01881
  • Mean of quarter 3
    1.06002
  • Mean of quarter 4
    1.12009
  • Inter Quartile Range
    0.09471
  • 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)
    0.27947
  • VaR(95%) (moments method)
    0.07255
  • Expected Shortfall (moments method)
    0.12504
  • Extreme Value Index (regression method)
    0.10122
  • VaR(95%) (regression method)
    0.08971
  • Expected Shortfall (regression method)
    0.13703
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    3.00000
  • Minimum
    0.04010
  • Quartile 1
    0.08525
  • Median
    0.13040
  • Quartile 3
    0.13646
  • Maximum
    0.14252
  • Mean of quarter 1
    0.04010
  • Mean of quarter 2
    0.13040
  • Mean of quarter 3
    0.00000
  • Mean of quarter 4
    0.14252
  • Inter Quartile Range
    0.05121
  • 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)
    0.48149
  • Compounded annual return (geometric extrapolation)
    0.40107
  • Calmar ratio (compounded annual return / max draw down)
    2.81404
  • Compounded annual return / average of 25% largest draw downs
    2.81404
  • Compounded annual return / Expected Shortfall lognormal
    3.18879
  • 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
    0.34781
  • SD
    0.23555
  • Sharpe ratio (Glass type estimate)
    1.47658
  • Sharpe ratio (Hedges UMVUE)
    1.47446
  • df
    524.00000
  • t
    2.09019
  • p
    0.01854
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    0.08845
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.86338
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    0.08701
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.86192
  • Statistics related to Sortino ratio
  • Sortino ratio
    2.06274
  • Upside Potential Ratio
    9.45016
  • Upside part of mean
    1.59345
  • Downside part of mean
    -1.24564
  • Upside SD
    0.16556
  • Downside SD
    0.16862
  • N nonnegative terms
    316.00000
  • N negative terms
    209.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    525.00000
  • Mean of predictor
    0.20906
  • Mean of criterion
    0.34781
  • SD of predictor
    0.12950
  • SD of criterion
    0.23555
  • Covariance
    0.01758
  • r
    0.57626
  • b (slope, estimate of beta)
    1.04815
  • a (intercept, estimate of alpha)
    0.12900
  • Mean Square Error
    0.03713
  • DF error
    523.00000
  • t(b)
    16.12530
  • p(b)
    -0.00000
  • t(a)
    0.94071
  • p(a)
    0.17364
  • Lowerbound of 95% confidence interval for beta
    0.92046
  • Upperbound of 95% confidence interval for beta
    1.17584
  • Lowerbound of 95% confidence interval for alpha
    -0.14006
  • Upperbound of 95% confidence interval for alpha
    0.39744
  • Treynor index (mean / b)
    0.33183
  • Jensen alpha (a)
    0.12869
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.31974
  • SD
    0.23649
  • Sharpe ratio (Glass type estimate)
    1.35204
  • Sharpe ratio (Hedges UMVUE)
    1.35011
  • df
    524.00000
  • t
    1.91390
  • p
    0.02809
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -0.03556
  • Upperbound of 95% confidence interval for Sharpe Ratio
    2.73844
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -0.03689
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    2.73710
  • Statistics related to Sortino ratio
  • Sortino ratio
    1.86400
  • Upside Potential Ratio
    9.20984
  • Upside part of mean
    1.57979
  • Downside part of mean
    -1.26005
  • Upside SD
    0.16366
  • Downside SD
    0.17153
  • N nonnegative terms
    316.00000
  • N negative terms
    209.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    525.00000
  • Mean of predictor
    0.20058
  • Mean of criterion
    0.31974
  • SD of predictor
    0.12952
  • SD of criterion
    0.23649
  • Covariance
    0.01762
  • r
    0.57510
  • b (slope, estimate of beta)
    1.05002
  • a (intercept, estimate of alpha)
    0.10912
  • Mean Square Error
    0.03750
  • DF error
    523.00000
  • t(b)
    16.07650
  • p(b)
    -0.00000
  • t(a)
    0.79403
  • p(a)
    0.21377
  • Lowerbound of 95% confidence interval for beta
    0.92171
  • Upperbound of 95% confidence interval for beta
    1.17833
  • Lowerbound of 95% confidence interval for alpha
    -0.16085
  • Upperbound of 95% confidence interval for alpha
    0.37910
  • Treynor index (mean / b)
    0.30451
  • Jensen alpha (a)
    0.10912
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.02255
  • Expected Shortfall on VaR
    0.02849
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.00935
  • Expected Shortfall on VaR
    0.01956
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    525.00000
  • Minimum
    0.92969
  • Quartile 1
    0.99416
  • Median
    1.00256
  • Quartile 3
    1.00949
  • Maximum
    1.04780
  • Mean of quarter 1
    0.98296
  • Mean of quarter 2
    0.99885
  • Mean of quarter 3
    1.00596
  • Mean of quarter 4
    1.01811
  • Inter Quartile Range
    0.01533
  • Number outliers low
    15.00000
  • Percentage of outliers low
    0.02857
  • Mean of outliers low
    0.95793
  • Number of outliers high
    9.00000
  • Percentage of outliers high
    0.01714
  • Mean of outliers high
    1.03688
  • Risk estimates for a one-period unit investment (based on Ex
  • Extreme Value Index (moments method)
    0.18197
  • VaR(95%) (moments method)
    0.01564
  • Expected Shortfall (moments method)
    0.02424
  • Extreme Value Index (regression method)
    0.10116
  • VaR(95%) (regression method)
    0.01565
  • Expected Shortfall (regression method)
    0.02298
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    25.00000
  • Minimum
    0.00175
  • Quartile 1
    0.01163
  • Median
    0.03267
  • Quartile 3
    0.05874
  • Maximum
    0.18577
  • Mean of quarter 1
    0.00656
  • Mean of quarter 2
    0.02301
  • Mean of quarter 3
    0.05192
  • Mean of quarter 4
    0.12298
  • Inter Quartile Range
    0.04710
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    3.00000
  • Percentage of outliers high
    0.12000
  • Mean of outliers high
    0.16804
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    0.00597
  • VaR(95%) (moments method)
    0.11907
  • Expected Shortfall (moments method)
    0.15795
  • Extreme Value Index (regression method)
    -0.31530
  • VaR(95%) (regression method)
    0.13457
  • Expected Shortfall (regression method)
    0.16053
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    0.50252
  • Compounded annual return (geometric extrapolation)
    0.41573
  • Calmar ratio (compounded annual return / max draw down)
    2.23790
  • Compounded annual return / average of 25% largest draw downs
    3.38048
  • Compounded annual return / Expected Shortfall lognormal
    14.59330
  • 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
    0.06577
  • SD
    0.18836
  • Sharpe ratio (Glass type estimate)
    0.34917
  • Sharpe ratio (Hedges UMVUE)
    0.34715
  • df
    130.00000
  • t
    0.24690
  • p
    0.48918
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -2.42357
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.12070
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -2.42497
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.11928
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.44562
  • Upside Potential Ratio
    7.72971
  • Upside part of mean
    1.14086
  • Downside part of mean
    -1.07509
  • Upside SD
    0.11594
  • Downside SD
    0.14760
  • N nonnegative terms
    75.00000
  • N negative terms
    56.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.17893
  • Mean of criterion
    0.06577
  • SD of predictor
    0.14233
  • SD of criterion
    0.18836
  • Covariance
    0.01620
  • r
    0.60409
  • b (slope, estimate of beta)
    0.79948
  • a (intercept, estimate of alpha)
    -0.07728
  • Mean Square Error
    0.02271
  • DF error
    129.00000
  • t(b)
    8.60971
  • p(b)
    0.14030
  • t(a)
    -0.36155
  • p(a)
    0.52025
  • Lowerbound of 95% confidence interval for beta
    0.61576
  • Upperbound of 95% confidence interval for beta
    0.98320
  • Lowerbound of 95% confidence interval for alpha
    -0.50020
  • Upperbound of 95% confidence interval for alpha
    0.34564
  • Treynor index (mean / b)
    0.08227
  • Jensen alpha (a)
    -0.07728
  • Ratio statistics of excess log return rates
  • Statistics related to Sharpe ratio
  • Mean
    0.04800
  • SD
    0.18965
  • Sharpe ratio (Glass type estimate)
    0.25307
  • Sharpe ratio (Hedges UMVUE)
    0.25161
  • df
    130.00000
  • t
    0.17895
  • p
    0.49215
  • Lowerbound of 95% confidence interval for Sharpe Ratio
    -2.51939
  • Upperbound of 95% confidence interval for Sharpe Ratio
    3.02457
  • Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation
    -2.52037
  • Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation
    3.02358
  • Statistics related to Sortino ratio
  • Sortino ratio
    0.32028
  • Upside Potential Ratio
    7.56804
  • Upside part of mean
    1.13409
  • Downside part of mean
    -1.08609
  • Upside SD
    0.11509
  • Downside SD
    0.14985
  • N nonnegative terms
    75.00000
  • N negative terms
    56.00000
  • Statistics related to linear regression on benchmark
  • N of observations
    131.00000
  • Mean of predictor
    0.16877
  • Mean of criterion
    0.04800
  • SD of predictor
    0.14268
  • SD of criterion
    0.18965
  • Covariance
    0.01628
  • r
    0.60166
  • b (slope, estimate of beta)
    0.79976
  • a (intercept, estimate of alpha)
    -0.08698
  • Mean Square Error
    0.02313
  • DF error
    129.00000
  • t(b)
    8.55528
  • p(b)
    0.14153
  • t(a)
    -0.40338
  • p(a)
    0.52259
  • VAR (95 Confidence Intrvl)
    0.02300
  • Lowerbound of 95% confidence interval for beta
    0.61480
  • Upperbound of 95% confidence interval for beta
    0.98471
  • Lowerbound of 95% confidence interval for alpha
    -0.51363
  • Upperbound of 95% confidence interval for alpha
    0.33966
  • Treynor index (mean / b)
    0.06001
  • Jensen alpha (a)
    -0.08698
  • Risk estimates for a one-period unit investment (parametric)
  • assuming log normal returns and losses (using central moments from Sharpe statistics)
  • VaR(95%)
    0.01891
  • Expected Shortfall on VaR
    0.02369
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • VaR(95%)
    0.00846
  • Expected Shortfall on VaR
    0.01760
  • ORDER STATISTICS
  • Quartiles of return rates
  • Number of observations
    131.00000
  • Minimum
    0.95411
  • Quartile 1
    0.99479
  • Median
    1.00168
  • Quartile 3
    1.00706
  • Maximum
    1.02240
  • Mean of quarter 1
    0.98565
  • Mean of quarter 2
    0.99846
  • Mean of quarter 3
    1.00465
  • Mean of quarter 4
    1.01280
  • Inter Quartile Range
    0.01227
  • Number outliers low
    6.00000
  • Percentage of outliers low
    0.04580
  • Mean of outliers low
    0.96576
  • 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)
    0.50435
  • VaR(95%) (moments method)
    0.01567
  • Expected Shortfall (moments method)
    0.03456
  • Extreme Value Index (regression method)
    0.16992
  • VaR(95%) (regression method)
    0.01289
  • Expected Shortfall (regression method)
    0.01927
  • DRAW DOWN STATISTICS
  • Quartiles of draw downs
  • Number of observations
    2.00000
  • Minimum
    0.00223
  • Quartile 1
    0.03870
  • Median
    0.07517
  • Quartile 3
    0.11164
  • Maximum
    0.14811
  • Mean of quarter 1
    0.00223
  • Mean of quarter 2
    0.00000
  • Mean of quarter 3
    0.00000
  • Mean of quarter 4
    0.14811
  • Inter Quartile Range
    0.07294
  • Number outliers low
    0.00000
  • Percentage of outliers low
    0.00000
  • Mean of outliers low
    0.00000
  • Number of outliers high
    0.00000
  • Percentage of outliers high
    0.00000
  • Mean of outliers high
    0.00000
  • Risk estimates based on draw downs (based on Extreme Value T
  • Extreme Value Index (moments method)
    0.00000
  • VaR(95%) (moments method)
    0.00000
  • Expected Shortfall (moments method)
    0.00000
  • Extreme Value Index (regression method)
    0.00000
  • VaR(95%) (regression method)
    0.00000
  • Last 4 Months - Pcnt Negative
    0.50%
  • Expected Shortfall (regression method)
    0.00000
  • Strat Max DD how much worse than SP500 max DD during strat life?
    -360619000
  • Max Equity Drawdown (num days)
    22
  • COMBINED STATISTICS
  • Annualized return (arithmetic extrapolation)
    0.07736
  • Compounded annual return (geometric extrapolation)
    0.07886
  • Calmar ratio (compounded annual return / max draw down)
    0.53244
  • Compounded annual return / average of 25% largest draw downs
    0.53244
  • Compounded annual return / Expected Shortfall lognormal
    3.32863

Strategy Description

In short, I invest in a diversified basket of historically appreciating assets with leverage and use various algorithmic trading signals to reduce leverage at various times in an effort to reduce drawdowns.

I use a mix of short, medium, and long-term signals to algorithmically determine entries and exits. I mostly buy things that have a long-term history of going up in value (trade with with long-term trend).

I have a Roth IRA at Interactive Brokers and this strategy reads the trades I make in it. For context, I have about 30 years before I plan to use the money in this Roth IRA. Like any REASONABLE investor, I know I won't make money every day, week, month, or year - especially if I want to target HIGH long-term growth - patience is needed! This strategy is very risky and volatile especially on a daily time frame.

Stops are generally not the primary way the system is designed to exit trades. However, the algorithm places stops with each position. I do this because you just never know what will happen. If price changes way faster than the signals can capture it, I don’t want to hold on to a 3X leveraged ETF during a day where the overall market drops 20% in a single day like it did in 1987! Because I use BrokerTransmit (AKA my strategy literally just copies the real brokerage account) you are not able to see stop orders until they trigger and show as a market sell for followers. On your end a stop triggered would just look like a market sell order. If it makes you feel more secure you could certainly instruct C2 to place stops on each position for you. I would not put them too tight though. For example, if you were to use a 1% stop you would probably experience too much whipsaw on these investments. Leveraged ETFs need more space to move when swing trading. Perhaps 10% would work well. Keep in mind that this strategy is very risky on a daily time frame. For example, September 3rd, 2020 this strategy would have dropped by about 11% in a single day.

While I hope you follow, please consider the risks and your willingness to remain consistent. By jumping in and out I believe you will decrease your odds of success dramatically. Therefore, I suggest you only follow with money that you will feel comfortable remaining consistent with in good, bad, and stagnant times.

Good luck!
patiencetoinvest.com
Trade this strategy at Interactive Brokers

Summary Statistics

Strategy began
2022-12-19
Suggested Minimum Capital
$30,000
Rank at C2 %
Top 5.7%
Rank # 
#41
# Trades
120
# Profitable
56
% Profitable
46.7%
Net Dividends
$14,981
Correlation S&P500
0.580
Sharpe Ratio
1.19
Sortino Ratio
1.65
Beta
1.07
Alpha
0.03
Leverage
1.21 Average
2.16 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.