MicroCap Deep Value
(142865493)
Subscription terms. Subscriptions to this system cost $60.00 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.
Non-hedged Equity
Predominantly long equities, although some hedging with short sales of stocks and/or stock index options. Commonly known as "stock-pickers."Rate of Return Calculations
Overview
To comply with NFA regulations, we display Cumulative Rate of Return for strategies with a track record of less than one year. For strategies with longer track records, we display Annualized (Compounded) Rate of Return.
How Cumulative Rate of Return is calculated
= (Ending_equity - Starting_equity) / Starting_equity
Remember that, following NFA requirements, strategy subscription costs and estimated commissions are included in marked-to-market equity calculations.
All results are hypothetical.
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022 | (5.6%) | (5.6%) | |||||||||||
2023 | +22.8% | (2.1%) | (14.1%) | +3.2% |
Model Account Details
A trading strategy on Collective2. Follow it in your broker account, or use a free simulated trading account.
Advanced users may want to use this information to adjust their AutoTrade scaling, or merely to understand the magnitudes of the nearby chart.
Started | $30,000 | |
Buy Power | $6,919 | |
Cash | $1 | |
Equity | $1 | |
Cumulative $ | ($282) | |
Includes dividends and cash-settled expirations: | $67 | Itemized |
Total System Equity | $29,717 | |
Margined | $1 | |
Open P/L | $2,054 | |
Data has been delayed by 168 hours for non-subscribers |
System developer has asked us to delay this information by 168 hours.
Trading Record
Statistics
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Strategy began12/13/2022
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Suggested Minimum Cap$15,000
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Strategy Age (days)99.06
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Age99 days ago
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What it tradesStocks
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# Trades33
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# Profitable14
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% Profitable42.40%
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Avg trade duration59.6 days
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Max peak-to-valley drawdown23.22%
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drawdown periodFeb 06, 2023 - March 21, 2023
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Cumul. Return-2.6%
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Avg win$246.00
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Avg loss$199.63
- Model Account Values (Raw)
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Cash$5,510
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Margin Used$0
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Buying Power$6,919
- Ratios
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W:L ratio0.94:1
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Sharpe Ratio-0.14
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Sortino Ratio-0.2
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Calmar Ratio-0.038
- CORRELATION STATISTICS
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Return of Strat Pcnt - Return of SP500 Pcnt (cumu)-0.51%
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Correlation to SP5000.41810
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Return Percent SP500 (cumu) during strategy life-2.06%
- Return Statistics
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Ann Return (w trading costs)-8.8%
- Slump
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Current Slump as Pcnt Equity27.20%
- Instruments
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Percent Trades Futuresn/a
- Slump
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Current Slump, time of slump as pcnt of strategy life0.45%
- Instruments
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Short Options - Percent Covered100.00%
- Return Statistics
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Return Pcnt (Compound or Annual, age-based, NFA compliant)-0.026%
- Instruments
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Percent Trades Optionsn/a
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Percent Trades Stocks1.00%
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Percent Trades Forexn/a
- Return Statistics
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Ann Return (Compnd, No Fees)-3.4%
- Risk of Ruin (Monte-Carlo)
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Chance of 10% account loss40.50%
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Chance of 20% account loss0.50%
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Chance of 30% account lossn/a
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Chance of 40% account lossn/a
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Chance of 60% account loss (Monte Carlo)n/a
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Chance of 70% account loss (Monte Carlo)n/a
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Chance of 80% account loss (Monte Carlo)n/a
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Chance of 90% account loss (Monte Carlo)n/a
- Automation
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Percentage Signals Automatedn/a
- Risk of Ruin (Monte-Carlo)
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Chance of 50% account lossn/a
- Popularity
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Popularity (Today)0
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Popularity (Last 6 weeks)729
- Trading Style
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Any stock shorts? 0/10
- Popularity
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C2 Score620
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Popularity (7 days, Percentile 1000 scale)301
- Trades-Own-System Certification
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Trades Own System?-
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TOS percentn/a
- Win / Loss
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Avg Loss$200
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Avg Win$246
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Sum Trade PL (losers)$3,793.000
- Age
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Num Months filled monthly returns table4
- Win / Loss
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Sum Trade PL (winners)$3,444.000
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# Winners14
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Num Months Winners1
- Dividends
-
Dividends Received in Model Acct68
- Win / Loss
-
# Losers19
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% Winners42.4%
- Frequency
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Avg Position Time (mins)85773.80
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Avg Position Time (hrs)1429.56
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Avg Trade Length59.6 days
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Last Trade Ago7
- Leverage
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Daily leverage (average)0.93
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Daily leverage (max)1.11
- Regression
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Alpha0.00
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Beta0.60
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Treynor Index-0.02
- Maximum Adverse Excursion (MAE)
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MAE:Equity, average, all trades0.01
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MAE:PL - worst single value for strategy-
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MAE:PL (avg, winning trades)-
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MAE:PL (avg, losing trades)-
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MAE:PL (avg, all trades)0.53
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MAE:Equity, average, winning trades0.00
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MAE:Equity, average, losing trades0.01
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Avg(MAE) / Avg(PL) - All trades-4.537
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MAE:Equity, losing trades only, 95th Percentile Value for this strat-
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MAE:Equity, win trades only, 95th Percentile Value for this strat-
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MAE:Equity, 95th Percentile Value for this strat0.01
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Avg(MAE) / Avg(PL) - Winning trades0.627
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Avg(MAE) / Avg(PL) - Losing trades-1.207
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Hold-and-Hope Ratio-0.049
- Analysis based on MONTHLY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
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Mean0.10907
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SD0.44121
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Sharpe ratio (Glass type estimate)0.24720
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Sharpe ratio (Hedges UMVUE)0.13947
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df2.00000
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t0.12360
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p0.45647
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Lowerbound of 95% confidence interval for Sharpe Ratio-3.70704
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Upperbound of 95% confidence interval for Sharpe Ratio4.14566
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Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-3.78284
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Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation4.06178
- Statistics related to Sortino ratio
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Sortino ratio0.39995
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Upside Potential Ratio2.39995
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Upside part of mean0.65448
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Downside part of mean-0.54541
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Upside SD0.23749
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Downside SD0.27271
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N nonnegative terms2.00000
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N negative terms1.00000
- Statistics related to linear regression on benchmark
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N of observations3.00000
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Mean of predictor-0.14669
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Mean of criterion0.10907
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SD of predictor0.16975
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SD of criterion0.44121
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Covariance0.07009
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r0.93583
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b (slope, estimate of beta)2.43232
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a (intercept, estimate of alpha)0.46586
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Mean Square Error0.04836
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DF error1.00000
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t(b)2.65516
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p(b)0.11465
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t(a)1.01294
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p(a)0.24795
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Lowerbound of 95% confidence interval for beta-9.20748
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Upperbound of 95% confidence interval for beta14.07210
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Lowerbound of 95% confidence interval for alpha-5.37784
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Upperbound of 95% confidence interval for alpha6.30957
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Treynor index (mean / b)0.04484
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Jensen alpha (a)0.46586
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
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Mean0.04157
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SD0.45311
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Sharpe ratio (Glass type estimate)0.09174
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Sharpe ratio (Hedges UMVUE)0.05176
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df2.00000
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t0.04587
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p0.48379
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Lowerbound of 95% confidence interval for Sharpe Ratio-3.83937
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Upperbound of 95% confidence interval for Sharpe Ratio4.00212
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Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-3.86850
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Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.97201
- Statistics related to Sortino ratio
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Sortino ratio0.14213
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Upside Potential Ratio2.14213
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Upside part of mean0.62647
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Downside part of mean-0.58490
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Upside SD0.22691
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Downside SD0.29245
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N nonnegative terms2.00000
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N negative terms1.00000
- Statistics related to linear regression on benchmark
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N of observations3.00000
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Mean of predictor-0.15707
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Mean of criterion0.04157
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SD of predictor0.17172
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SD of criterion0.45311
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Covariance0.07279
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r0.93548
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b (slope, estimate of beta)2.46848
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a (intercept, estimate of alpha)0.42928
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Mean Square Error0.05127
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DF error1.00000
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t(b)2.64733
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p(b)0.11496
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t(a)0.90192
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p(a)0.26640
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Lowerbound of 95% confidence interval for beta-9.37930
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Upperbound of 95% confidence interval for beta14.31630
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Lowerbound of 95% confidence interval for alpha-5.61841
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Upperbound of 95% confidence interval for alpha6.47697
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Treynor index (mean / b)0.01684
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Jensen alpha (a)0.42928
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
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VaR(95%)0.19078
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Expected Shortfall on VaR0.23294
- assuming Pareto losses only (using partial moments from Sortino statistics)
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VaR(95%)0.08275
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Expected Shortfall on VaR0.15578
- ORDER STATISTICS
- Quartiles of return rates
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Number of observations3.00000
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Minimum0.86598
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Quartile 10.96561
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Median1.06524
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Quartile 31.08414
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Maximum1.10303
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Mean of quarter 10.86598
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Mean of quarter 21.06524
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Mean of quarter 30.00000
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Mean of quarter 41.10303
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Inter Quartile Range0.11853
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Number outliers low0.00000
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Percentage of outliers low0.00000
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Mean of outliers low0.00000
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Number of outliers high0.00000
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Percentage of outliers high0.00000
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Mean of outliers high0.00000
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)0.00000
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VaR(95%) (moments method)0.00000
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Expected Shortfall (moments method)0.00000
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Extreme Value Index (regression method)0.00000
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VaR(95%) (regression method)0.00000
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Expected Shortfall (regression method)0.00000
- DRAW DOWN STATISTICS
- Quartiles of draw downs
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Number of observations1.00000
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Minimum0.13403
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Quartile 10.13403
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Median0.13403
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Quartile 30.13403
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Maximum0.13403
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Mean of quarter 10.00000
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Mean of quarter 20.00000
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Mean of quarter 30.00000
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Mean of quarter 40.00000
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Inter Quartile Range0.00000
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high0.00000
-
Percentage of outliers high0.00000
-
Mean of outliers high0.00000
- 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
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Annualized return (arithmetic extrapolation)0.07008
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Compounded annual return (geometric extrapolation)0.07194
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Calmar ratio (compounded annual return / max draw down)0.53679
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Compounded annual return / average of 25% largest draw downs0.00000
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Compounded annual return / Expected Shortfall lognormal0.30885
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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-0.00608
-
SD0.24529
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Sharpe ratio (Glass type estimate)-0.02479
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Sharpe ratio (Hedges UMVUE)-0.02452
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df70.00000
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t-0.01290
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p0.50513
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Lowerbound of 95% confidence interval for Sharpe Ratio-3.78983
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Upperbound of 95% confidence interval for Sharpe Ratio3.74025
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Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-3.78956
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Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.74052
- Statistics related to Sortino ratio
-
Sortino ratio-0.03402
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Upside Potential Ratio9.03190
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Upside part of mean1.61425
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Downside part of mean-1.62033
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Upside SD0.16545
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Downside SD0.17873
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N nonnegative terms39.00000
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N negative terms32.00000
- Statistics related to linear regression on benchmark
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N of observations71.00000
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Mean of predictor-0.08939
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Mean of criterion-0.00608
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SD of predictor0.17560
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SD of criterion0.24529
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Covariance0.01811
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r0.42041
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b (slope, estimate of beta)0.58724
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a (intercept, estimate of alpha)0.04600
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Mean Square Error0.05025
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DF error69.00000
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t(b)3.84887
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p(b)0.00013
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t(a)0.10773
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p(a)0.45726
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Lowerbound of 95% confidence interval for beta0.28286
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Upperbound of 95% confidence interval for beta0.89162
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Lowerbound of 95% confidence interval for alpha-0.81307
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Upperbound of 95% confidence interval for alpha0.90590
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Treynor index (mean / b)-0.01035
-
Jensen alpha (a)0.04641
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean-0.03580
-
SD0.24569
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Sharpe ratio (Glass type estimate)-0.14572
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Sharpe ratio (Hedges UMVUE)-0.14415
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df70.00000
-
t-0.07586
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p0.53012
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Lowerbound of 95% confidence interval for Sharpe Ratio-3.91039
-
Upperbound of 95% confidence interval for Sharpe Ratio3.61985
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-3.90926
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation3.62096
- Statistics related to Sortino ratio
-
Sortino ratio-0.19793
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Upside Potential Ratio8.84892
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Upside part of mean1.60059
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Downside part of mean-1.63639
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Upside SD0.16371
-
Downside SD0.18088
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N nonnegative terms39.00000
-
N negative terms32.00000
- Statistics related to linear regression on benchmark
-
N of observations71.00000
-
Mean of predictor-0.10460
-
Mean of criterion-0.03580
-
SD of predictor0.17563
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SD of criterion0.24569
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Covariance0.01815
-
r0.42068
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b (slope, estimate of beta)0.58849
-
a (intercept, estimate of alpha)0.02576
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Mean Square Error0.05040
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DF error69.00000
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t(b)3.85183
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p(b)0.00013
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t(a)0.05968
-
p(a)0.47629
-
Lowerbound of 95% confidence interval for beta0.28370
-
Upperbound of 95% confidence interval for beta0.89329
-
Lowerbound of 95% confidence interval for alpha-0.83519
-
Upperbound of 95% confidence interval for alpha0.88670
-
Treynor index (mean / b)-0.06084
-
Jensen alpha (a)0.02576
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.02479
-
Expected Shortfall on VaR0.03094
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.01355
-
Expected Shortfall on VaR0.02478
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations71.00000
-
Minimum0.96249
-
Quartile 10.98926
-
Median1.00266
-
Quartile 31.01067
-
Maximum1.03381
-
Mean of quarter 10.98013
-
Mean of quarter 20.99598
-
Mean of quarter 31.00598
-
Mean of quarter 41.01857
-
Inter Quartile Range0.02141
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high0.00000
-
Percentage of outliers high0.00000
-
Mean of outliers high0.00000
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)-0.74141
-
VaR(95%) (moments method)0.02112
-
Expected Shortfall (moments method)0.02308
-
Extreme Value Index (regression method)-0.05947
-
VaR(95%) (regression method)0.02132
-
Expected Shortfall (regression method)0.02708
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations3.00000
-
Minimum0.01663
-
Quartile 10.04915
-
Median0.08166
-
Quartile 30.14526
-
Maximum0.20886
-
Mean of quarter 10.01663
-
Mean of quarter 20.08166
-
Mean of quarter 30.00000
-
Mean of quarter 40.20886
-
Inter Quartile Range0.09611
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high0.00000
-
Percentage of outliers high0.00000
-
Mean of outliers high0.00000
- 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)-0.00789
-
Compounded annual return (geometric extrapolation)-0.00786
-
Calmar ratio (compounded annual return / max draw down)-0.03765
-
Compounded annual return / average of 25% largest draw downs-0.03765
-
Compounded annual return / Expected Shortfall lognormal-0.25414
- Analysis based on DAILY values, last 6 months only
- RATIO STATISTICS
- Ratio statistics of excess log return rates
- Statistics related to linear regression on benchmark
-
VAR (95 Confidence Intrvl)0.02500
- DRAW DOWN STATISTICS
- Risk estimates based on draw downs (based on Extreme Value T
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
Last 4 Months - Pcnt Negative0.75%
-
Strat Max DD how much worse than SP500 max DD during strat life?-328459000
-
Max Equity Drawdown (num days)43
Strategy Description
Our MicroCap Deep Value portfolio is designed to capture excess returns from the bottom of the stock market where the smallest stocks reside, a place where most fund managers and investors can’t or aren’t allowed to venture into. Because of this, often many smaller and quality companies go overlooked and can trade at steep discounts to their fair value providing for fantastic investment opportunities for smaller investors who have the patience and commitment to this space.
Our quantitative and qualitative process identifies companies with market capitalizations less than $300 million that have quality and profitable businesses that are also severely undervalued by the market, hence the term Deep Value in the strategy name. Some of these businesses are decades old and family run, however due to their small size most of Wall Street doesn't notice them because they aren't big enough to invest in, however as small investors this is one of our few advantages that we have, being able to invest in these small businesses without too much price slippage on our trades.
We invest in stocks often trading at less than $10 per share that also have low levels of liquidity, sometimes there is a wide bid-ask spread to trade the stocks so it’s not recommended for large portfolios, however due to our long average holding periods you can accumulate and exit positions over several days to minimize slippage.
We have a unique discounted cashflow valuation model used to identify what a fair value should be for each stock, and we typically hold positions until they reach our dynamic fair value level, which is usually between several months to several years after entering a position. We actively monitor all our positions and their underlying businesses so we may exit positions earlier if the business quality deteriorates and/or a much better opportunity comes along to replace with in our portfolio.
The portfolio always holds open 20 positions, with 5% of the current account value placed into each position at the time of opening. No leverage is used with this strategy. We always carry a diversified portfolio of stocks with limits on how much sector and industry concentration is allowed.
Like all good investment strategies, some volatility and drawdowns can be expected and this is a normal part of extracting any risk premium from the market. The goal is to outperform the S&P 500 Index on a yearly basis and significantly so over the long term with similar levels of volatility.
When you join this strategy to auto-trade be sure to enable the option “join current trades” as sometimes the portfolio can go several months without making a trade and some months there may be several trades. Low portfolio turnover is a positive feature of this strategy that keeps trading costs to a minimum.
Due to the liquidity restraints inherent with investing in MicroCap stocks, we’ve limited this strategy to a maximum of 100 subscribers allowed to follow, after that number is reached this strategy will then be closed to new subscribers in order to preserve available liquidity for current members.
We keep our subscribers updated with a monthly performance report that we send out at the end of every month, providing commentary on the markets and how our MicroCap Deep Value portfolio is performing. When you join, you're becoming a part of a community of investors that are committed to achieving strong and consistent risk-adjusted returns that are uncorrelated with the market.
If you have any questions or feedback feel free to send me a message, we're looking for long-term subscribers into our MicroCap Deep Value strategy as we believe it will deliver high returns over the long term.
Regards,
Jared
Most values on this page (including the Strategy Equity Chart, above) have been adjusted by estimated trading commissions and subscription costs.
Some advanced users find it useful to see "raw" Model Account values. These numbers do not include any commissions, fees, subscription costs, or dividend actions.
Strategy developers can "archive" strategies at any time. This means the strategy Model Account is reset to its initial level and the trade list cleared. However, all archived track records are permanently preserved for evaluation by potential subscribers.
About the results you see on this Web site
Past results are not necessarily indicative of future results.
These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.
In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program, which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.
Material assumptions and methods used when calculating results
The following are material assumptions used when calculating any hypothetical monthly results that appear on our web site.
- Profits are reinvested. We assume profits (when there are profits) are reinvested in the trading strategy.
- Starting investment size. For any trading strategy on our site, hypothetical results are based on the assumption that you invested the starting amount shown on the strategy's performance chart. In some cases, nominal dollar amounts on the equity chart have been re-scaled downward to make current go-forward trading sizes more manageable. In these cases, it may not have been possible to trade the strategy historically at the equity levels shown on the chart, and a higher minimum capital was required in the past.
- All fees are included. When calculating cumulative returns, we try to estimate and include all the fees a typical trader incurs when AutoTrading using AutoTrade technology. This includes the subscription cost of the strategy, plus any per-trade AutoTrade fees, plus estimated broker commissions if any.
- "Max Drawdown" Calculation Method. We calculate the Max Drawdown statistic as follows. Our computer software looks at the equity chart of the system in question and finds the largest percentage amount that the equity chart ever declines from a local "peak" to a subsequent point in time (thus this is formally called "Maximum Peak to Valley Drawdown.") While this is useful information when evaluating trading systems, you should keep in mind that past performance does not guarantee future results. Therefore, future drawdowns may be larger than the historical maximum drawdowns you see here.
Trading is risky
There is a substantial risk of loss in futures and forex trading. Online trading of stocks and options is extremely risky. Assume you will lose money. Don't trade with money you cannot afford to lose.
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Strategy is now visible
This strategy is now visible to the public. New subscribers will be able to follow it.
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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.