ARK Micro
(151021571)
Subscription terms. Subscriptions to this system cost $75.00 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.
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 cumulativo
= (Patrimonio_finale - Patrimonio_iniziale) / Patrimonio_iniziale
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.
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025 | +5.8% | +14.0% | +10.5% | +0.4% | +33.8% |
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.
Iniziato | $15,000 | |
Potere d'acquisto | $16,520 | |
Contante | $21,674 | |
Patrimonio | ($633) | |
Cumulativo $ | $5,995 | |
Patrimonio totale del sistema | $20,995 | |
A margine | $4,520 | |
P/L aperto | ($678) |
Trading Record
Statistics
-
Strategy began3/5/2025
-
Suggested Minimum Cap$25,000
-
Strategy Age (days)104.11
-
Age104 days ago
-
What it tradesFutures
-
# Trades110
-
# Profitable95
-
% Profitable86.40%
-
Avg trade duration1.2 days
-
Max peak-to-valley drawdown13.3%
-
drawdown periodMay 07, 2025 - May 12, 2025
-
Cumul. Return33.8%
-
Avg win$91.57
-
Avg loss$177.27
- Model Account Values (Raw)
-
Cash$21,674
-
Margin Used$4,520
-
Buying Power$16,520
- Ratios
-
W:L ratio3.27:1
-
Sharpe Ratio2.83
-
Sortino Ratio4.68
-
Calmar Ratio26.807
- CORRELATION STATISTICS
-
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)31.36%
-
Correlation to SP500-0.22800
-
Return Percent SP500 (cumu) during strategy life2.74%
- Return Statistics
-
Ann Return (w trading costs)168.1%
- Slump
-
Current Slump as Pcnt Equity3.50%
- Instruments
-
Percent Trades Futures0.84%
- Slump
-
Current Slump, time of slump as pcnt of strategy life0.01%
- Instruments
-
Short Options - Percent Covered100.00%
- Return Statistics
-
Return Pcnt Since TOS Statusn/a
-
Return Pcnt (Compound or Annual, age-based, NFA compliant)0.338%
- Instruments
-
Percent Trades Optionsn/a
-
Percent Trades Stocksn/a
-
Percent Trades Forex0.16%
- Return Statistics
-
Ann Return (Compnd, No Fees)222.0%
- Risk of Ruin (Monte-Carlo)
-
Chance of 10% account loss9.50%
-
Chance of 20% account lossn/a
-
Chance of 30% account lossn/a
-
Chance of 40% account lossn/a
-
Chance of 60% account loss (Monte Carlo)n/a
-
Chance of 70% account loss (Monte Carlo)n/a
-
Chance of 80% account loss (Monte Carlo)n/a
-
Chance of 90% account loss (Monte Carlo)n/a
-
Chance of 100% account loss (Monte Carlo)n/a
- Automation
-
Percentage Signals Automatedn/a
- Risk of Ruin (Monte-Carlo)
-
Chance of 50% account lossn/a
- Popularity
-
Popularity (Today)604
-
Popularity (Last 6 weeks)963
- Trading Style
-
Any stock shorts? 0/10
- Popularity
-
C2 Score931
-
Popularity (7 days, Percentile 1000 scale)900
- Trades-Own-System Certification
-
Trades Own System?-
-
TOS percentn/a
- Win / Loss
-
Avg Loss$179
-
Avg Win$92
-
Sum Trade PL (losers)$2,687.000
- Age
-
Num Months filled monthly returns table4
- Win / Loss
-
Sum Trade PL (winners)$8,699.000
-
# Winners95
-
Num Months Winners4
- Dividends
-
Dividends Received in Model Acct0
- AUM
-
AUM (AutoTrader live capital)20385
- Win / Loss
-
# Losers15
-
% Winners86.4%
- Frequency
-
Avg Position Time (mins)1773.27
-
Avg Position Time (hrs)29.55
-
Avg Trade Length1.2 days
-
Last Trade Ago0
- Leverage
-
Daily leverage (average)4.42
-
Daily leverage (max)12.12
- Regression
-
Alpha0.32
-
Beta-0.27
-
Treynor Index-1.19
- Maximum Adverse Excursion (MAE)
-
MAE:Equity, average, all trades0.01
-
MAE:PL - worst single value for strategy-
-
MAE:PL (avg, winning trades)-
-
MAE:PL (avg, losing trades)-
-
MAE:PL (avg, all trades)0.58
-
MAE:Equity, average, winning trades0.01
-
MAE:Equity, average, losing trades0.02
-
Avg(MAE) / Avg(PL) - All trades3.310
-
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 strat0.01
-
Avg(MAE) / Avg(PL) - Winning trades1.382
-
Avg(MAE) / Avg(PL) - Losing trades-2.359
-
Hold-and-Hope Ratio0.307
- Analysis based on MONTHLY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean1.59252
-
SD0.57196
-
Sharpe ratio (Glass type estimate)2.78429
-
Sharpe ratio (Hedges UMVUE)1.57087
-
df2.00000
-
t1.39214
-
p0.14924
-
Lowerbound of 95% confidence interval for Sharpe Ratio-2.08246
-
Upperbound of 95% confidence interval for Sharpe Ratio7.24779
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-2.64050
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation5.78224
- Statistics related to Sortino ratio
-
Sortino ratio13.88260
-
Upside Potential Ratio15.88260
-
Upside part of mean1.82194
-
Downside part of mean-0.22943
-
Upside SD0.64520
-
Downside SD0.11471
-
N nonnegative terms2.00000
-
N negative terms1.00000
- Statistics related to linear regression on benchmark
-
N of observations3.00000
-
Mean of predictor0.14198
-
Mean of criterion1.59252
-
SD of predictor0.31340
-
SD of criterion0.57196
-
Covariance-0.13417
-
r-0.74846
-
b (slope, estimate of beta)-1.36595
-
a (intercept, estimate of alpha)1.78646
-
Mean Square Error0.28776
-
DF error1.00000
-
t(b)-1.12859
-
p(b)0.76921
-
t(a)1.64416
-
p(a)0.17394
-
Lowerbound of 95% confidence interval for beta-16.74460
-
Upperbound of 95% confidence interval for beta14.01270
-
Lowerbound of 95% confidence interval for alpha-12.01940
-
Upperbound of 95% confidence interval for alpha15.59230
-
Treynor index (mean / b)-1.16586
-
Jensen alpha (a)1.78646
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean1.40182
-
SD0.52850
-
Sharpe ratio (Glass type estimate)2.65247
-
Sharpe ratio (Hedges UMVUE)1.49650
-
df2.00000
-
t1.32624
-
p0.15797
-
Lowerbound of 95% confidence interval for Sharpe Ratio-2.14858
-
Upperbound of 95% confidence interval for Sharpe Ratio7.05438
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-2.68878
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation5.68178
- Statistics related to Sortino ratio
-
Sortino ratio11.89480
-
Upside Potential Ratio13.89480
-
Upside part of mean1.63753
-
Downside part of mean-0.23570
-
Upside SD0.57972
-
Downside SD0.11785
-
N nonnegative terms2.00000
-
N negative terms1.00000
- Statistics related to linear regression on benchmark
-
N of observations3.00000
-
Mean of predictor0.10847
-
Mean of criterion1.40182
-
SD of predictor0.31282
-
SD of criterion0.52850
-
Covariance-0.12215
-
r-0.73885
-
b (slope, estimate of beta)-1.24824
-
a (intercept, estimate of alpha)1.53722
-
Mean Square Error0.25367
-
DF error1.00000
-
t(b)-1.09644
-
p(b)0.76463
-
t(a)1.51473
-
p(a)0.18573
-
Lowerbound of 95% confidence interval for beta-15.71370
-
Upperbound of 95% confidence interval for beta13.21720
-
Lowerbound of 95% confidence interval for alpha-11.35760
-
Upperbound of 95% confidence interval for alpha14.43210
-
Treynor index (mean / b)-1.12304
-
Jensen alpha (a)1.53722
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.12552
-
Expected Shortfall on VaR0.17824
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.03481
-
Expected Shortfall on VaR0.06553
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations3.00000
-
Minimum0.94497
-
Quartile 11.08104
-
Median1.21710
-
Quartile 31.23007
-
Maximum1.24304
-
Mean of quarter 10.94497
-
Mean of quarter 21.21710
-
Mean of quarter 30.00000
-
Mean of quarter 41.24304
-
Inter Quartile Range0.14903
-
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)0.00000
-
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
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations1.00000
-
Minimum0.05503
-
Quartile 10.05503
-
Median0.05503
-
Quartile 30.05503
-
Maximum0.05503
-
Mean of quarter 10.00000
-
Mean of quarter 20.00000
-
Mean of quarter 30.00000
-
Mean of quarter 40.00000
-
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
-
Annualized return (arithmetic extrapolation)1.71862
-
Compounded annual return (geometric extrapolation)3.17757
-
Calmar ratio (compounded annual return / max draw down)57.74440
-
Compounded annual return / average of 25% largest draw downs0.00000
-
Compounded annual return / Expected Shortfall lognormal17.82700
-
0.00000
-
0.00000
- Analysis based on DAILY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to Sharpe ratio
-
Mean1.40118
-
SD0.36442
-
Sharpe ratio (Glass type estimate)3.84498
-
Sharpe ratio (Hedges UMVUE)3.80241
-
df68.00000
-
t1.97318
-
p0.02627
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.04200
-
Upperbound of 95% confidence interval for Sharpe Ratio7.70465
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.06990
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation7.67472
- Statistics related to Sortino ratio
-
Sortino ratio6.15612
-
Upside Potential Ratio11.61670
-
Upside part of mean2.64405
-
Downside part of mean-1.24288
-
Upside SD0.29422
-
Downside SD0.22761
-
N nonnegative terms46.00000
-
N negative terms23.00000
- Statistics related to linear regression on benchmark
-
N of observations69.00000
-
Mean of predictor0.10698
-
Mean of criterion1.40118
-
SD of predictor0.30396
-
SD of criterion0.36442
-
Covariance-0.02545
-
r-0.22977
-
b (slope, estimate of beta)-0.27548
-
a (intercept, estimate of alpha)1.43100
-
Mean Square Error0.12767
-
DF error67.00000
-
t(b)-1.93247
-
p(b)0.97123
-
t(a)2.05430
-
p(a)0.02193
-
Lowerbound of 95% confidence interval for beta-0.56001
-
Upperbound of 95% confidence interval for beta0.00906
-
Lowerbound of 95% confidence interval for alpha0.04060
-
Upperbound of 95% confidence interval for alpha2.82070
-
Treynor index (mean / b)-5.08640
-
Jensen alpha (a)1.43065
- Ratio statistics of excess log return rates
- Statistics related to Sharpe ratio
-
Mean1.33174
-
SD0.36601
-
Sharpe ratio (Glass type estimate)3.63857
-
Sharpe ratio (Hedges UMVUE)3.59830
-
df68.00000
-
t1.86726
-
p0.03309
-
Lowerbound of 95% confidence interval for Sharpe Ratio-0.24205
-
Upperbound of 95% confidence interval for Sharpe Ratio7.49333
-
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.26850
-
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation7.46509
- Statistics related to Sortino ratio
-
Sortino ratio5.62576
-
Upside Potential Ratio10.99080
-
Upside part of mean2.60178
-
Downside part of mean-1.27003
-
Upside SD0.28767
-
Downside SD0.23672
-
N nonnegative terms46.00000
-
N negative terms23.00000
- Statistics related to linear regression on benchmark
-
N of observations69.00000
-
Mean of predictor0.06206
-
Mean of criterion1.33174
-
SD of predictor0.30090
-
SD of criterion0.36601
-
Covariance-0.02606
-
r-0.23664
-
b (slope, estimate of beta)-0.28784
-
a (intercept, estimate of alpha)1.34961
-
Mean Square Error0.12835
-
DF error67.00000
-
t(b)-1.99358
-
p(b)0.97486
-
t(a)1.93309
-
p(a)0.02873
-
Lowerbound of 95% confidence interval for beta-0.57602
-
Upperbound of 95% confidence interval for beta0.00035
-
Lowerbound of 95% confidence interval for alpha-0.04393
-
Upperbound of 95% confidence interval for alpha2.74314
-
Treynor index (mean / b)-4.62675
-
Jensen alpha (a)1.34961
- Risk estimates for a one-period unit investment (parametric)
- assuming log normal returns and losses (using central moments from Sharpe statistics)
-
VaR(95%)0.03160
-
Expected Shortfall on VaR0.04067
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
VaR(95%)0.00790
-
Expected Shortfall on VaR0.01874
- ORDER STATISTICS
- Quartiles of return rates
-
Number of observations69.00000
-
Minimum0.90258
-
Quartile 10.99688
-
Median1.00427
-
Quartile 31.01193
-
Maximum1.07265
-
Mean of quarter 10.98223
-
Mean of quarter 21.00147
-
Mean of quarter 31.00757
-
Mean of quarter 41.03191
-
Inter Quartile Range0.01504
-
Number outliers low2.00000
-
Percentage of outliers low0.02899
-
Mean of outliers low0.93302
-
Number of outliers high8.00000
-
Percentage of outliers high0.11594
-
Mean of outliers high1.04597
- Risk estimates for a one-period unit investment (based on Ex
-
Extreme Value Index (moments method)0.18549
-
VaR(95%) (moments method)0.01143
-
Expected Shortfall (moments method)0.01881
-
Extreme Value Index (regression method)0.42078
-
VaR(95%) (regression method)0.01828
-
Expected Shortfall (regression method)0.04040
- DRAW DOWN STATISTICS
- Quartiles of draw downs
-
Number of observations10.00000
-
Minimum0.00103
-
Quartile 10.00469
-
Median0.01095
-
Quartile 30.03441
-
Maximum0.10799
-
Mean of quarter 10.00205
-
Mean of quarter 20.00798
-
Mean of quarter 30.01416
-
Mean of quarter 40.07271
-
Inter Quartile Range0.02972
-
Number outliers low0.00000
-
Percentage of outliers low0.00000
-
Mean of outliers low0.00000
-
Number of outliers high1.00000
-
Percentage of outliers high0.10000
-
Mean of outliers high0.10799
- Risk estimates based on draw downs (based on Extreme Value T
-
Extreme Value Index (moments method)-4.28531
-
VaR(95%) (moments method)0.07862
-
Expected Shortfall (moments method)0.07870
-
Extreme Value Index (regression method)-0.52423
-
VaR(95%) (regression method)0.11887
-
Expected Shortfall (regression method)0.13754
- COMBINED STATISTICS
-
Annualized return (arithmetic extrapolation)1.63493
-
Compounded annual return (geometric extrapolation)2.89483
-
Calmar ratio (compounded annual return / max draw down)26.80730
-
Compounded annual return / average of 25% largest draw downs39.81570
-
Compounded annual return / Expected Shortfall lognormal71.17230
- 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)0.03200
- 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 Negativen/a
-
Strat Max DD how much worse than SP500 max DD during strat life?-390798000
-
Max Equity Drawdown (num days)5
Strategy Description
I have done a lot of work on my mistakes. This is more from the field of psychology. Bugs have been fixed. The system has become more reliable and stable. During this time, I have optimized my system, leaving only the best algorithms there and optimized risk management. I believe in my system.
Attention! Depending on your risk preferences, after subscribing to the system, I definitely recommend setting a risk limit of no more than 5-10-15-20%. This is a must!
1) ARK Micro (micro fx futures CME) + 5.8%*, max dd - 8.8% | https://collective2.com/details/151021571 | Maximum monthly loss no more than 10%. Trading according to the system of currency futures micro GBP/USD, micro EUR/USD, micro AUD/USD, micro JPY/USD, micro CAD/USD, micro CHF/USD. Suggested Minimum Capital 7,500 - 15,000 USD
2) Internet trading experience since 2006. Manual trading system, based on the use of advanced mathematical algorithms that generate accurate entry and exit signals, as well as on the analysis of intraday bulletins of currency futures of the Chicago Mercantile Exchange (CME Group) - British Pound Futures, Euro FX Futures, Australian Dollar Futures, Japanese Yen Futures, Swiss Franc Futures, Canadian Dollar Futures. Trading is carried out both on the trend and on reversals, on currency futures G10 CME Group. Each trade is protected by a stop loss. Not martingale. The plan and goal for the future is to open my own hedge fund.
3) My public verified trading results myfxbook | 2011 + 12.11% | 2012 + 105.51% | 2013 + 272.49% | 2014 + 182.49% | 2015 + 121.17% | 2016 + 65.57% | 2017 + 18.24% | 2018 + 88.6% | 2019 +16.5%
4) Attention! To be honest, this is not my first profile here. I had great periods here when the number of paid subscribers was about 100, and the amount under management was about 7 million US dollars (this is the period from February 2018 to July 2019). In 2018, a profit of 88% was shown, but then 95% of clients left due to a profit of 16% per year!!! From experience, I can say that low drawdowns and moderate profits (10-25% per year) are of little interest to anyone here, and when you start showing such a result, 80-90 percent of clients leave. Strategies with high profits are very popular, which subsequently lead to large drawdowns. This is a pattern and a vicious circle. The more profit, the greater the drawdown awaits you in the future. That's why I started using my system with aggressive risks, which led to a series of failures.
5) From November 2021 to October 2022, I had the ARK system here, until May 2022 there was a stable increase in clients, excellent results for six months, profit over 250%, the number of paid subscribers is just over 100, funds are 15 million USD. Then I started trading more conservatively (less risky) and the number of subscribers decreased by 9 times in 3 months!!! I started trading again, but more aggressively and this eventually led to a mistake, there was a big drawdown when selling USD / JPY due to high leverage, the idea was correct to sell 145-147-150 take profit 135-133 -131, but very poor execution led to a loss. I am the only one to blame for this and there is no excuse for this.
6) In 2024, at the moment, my M8888 system managed to show excellent results of 420% with a maximum drawdown of 42%. But the bet on aggressive trading eventually led to a large drawdown. It was obvious and a matter of time. Now there is a profit of 230% with a drawdown of 70%. I understand that such results are of no interest to anyone. An adequate balance of risk and profit is needed.
7) You can see the archive of my systems for 2018-2024 on my website.
Useful recommendations when copying my system “ARK Micro” (micro FX futures CME):
1) Do not idealize the results of my trading. Stable every month for a long period of time, at least over a period of several years, you are unlikely to receive a plus every month, this is not a bank deposit. There will be periods of subsidence, since everything in this world is cyclical and the results in trading are no exception, after growth always follows a decline or for some time there is a stagnation in growth and this should be perceived normally.
2) Diversify your savings - do not put all your eggs in one basket.
3) Constantly and continuously monitor the results, it is desirable to do this several times a week, so you will be calmer.
4) Understand that profitability is not linear, it is not a bank deposit, that income received in the past cannot serve as a guarantee of receiving such income in the future.
5) Do not worry and don’t share your feelings with me about where the market will go or what you think is wrong at the moment (I don’t have a psychological session service), because there is a stop loss for every deal , there is a risk limit. Excessive anxiety only ruins the result.
6) There are periods, several trading sessions, several trading weeks when there is no trading activity, this is normal. Permanent presence in the market and constant trading in no way affects the better profit, does not make it anymore, sometimes just a few trading sessions make the result for a whole month. You need to be able to wait, work out only clear signals and then the result will be much better.
7) There is a possibility that you may lose some or all of your investments and therefore you should not invest money that you cannot afford to lose. You should be aware of all the risks associated with foreign exchange trading and seek advice from an independent financial advisor if you have any doubts.
Michael
April 1, 2025
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.
Not available
This feature isn't available under your current Trade Leader Plan.
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?
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.