Pearl NQ100 M
(33352430)
Subscription terms. Subscriptions to this system cost $199.00 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.
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008 | - | +9.7% | +0.9% | +4.2% | (5.1%) | +3.9% | +1.8% | +15.6% | |||||
| 2009 | - | - | - | (1.3%) | - | - | - | - | - | - | - | - | (1.3%) |
| 2010 | - | - | - | - | - | - | - | - | - | - | - | +0.5% | +0.5% |
| 2011 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2012 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2013 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2014 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2015 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2016 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2017 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2018 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2019 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2020 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2021 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2022 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2023 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2024 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2025 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2026 | - | - | - | - | - |
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 | $100,000 | |
| Buy Power | $119,083 | |
| Cash | $119,083 | |
| Equity | $0 | |
| Cumulative $ | $19,082 | |
| Includes dividends and cash-settled expirations: | $555 | Itemized |
| Total System Equity | $119,082 | |
| Margined | $0 | |
| Open P/L | $0 |
Trading Record
Statistics
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Strategy began6/26/2008
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Suggested Minimum Cap$100,000
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Strategy Age (days)6545.9
-
Age219 months ago
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What it tradesStocks
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# Trades154
-
# Profitable123
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% Profitable79.90%
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Avg trade duration3.2 days
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Max peak-to-valley drawdown%
-
drawdown periodDec , - Dec ,
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Annual return (compounded)1.0%
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Avg win$633.57
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Avg loss$1,916
- Model Account Values (Raw)
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Cash$119,083
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Margin Used$0
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Buying Power$119,083
- Ratios
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W:L ratio1.32:1
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Sharpe Ratio-0.13
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Sortino Ratio-0.22
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Calmar Ratio0.073
- CORRELATION STATISTICS
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Correlation to SP5000.16630
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Return of Strat Pcnt - Return of SP500 Pcnt (cumu)-14.18%
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Return Percent SP500 (cumu) during strategy life466.95%
- Return Statistics
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Ann Return (w trading costs)4.8%
- Instruments
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Percent Trades Optionsn/a
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Percent Trades Futuresn/a
- Slump
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Current Slump, time of slump as pcnt of strategy life0.97%
- Instruments
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Percent Trades Stocks1.00%
- Slump
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Current Slump as Pcnt Equity3.80%
- Return Statistics
-
Return Pcnt Since TOS Statusn/a
- Instruments
-
Percent Trades Forexn/a
- Return Statistics
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Ann Return (Compnd, No Fees)1.0%
- Risk of Ruin (Monte-Carlo)
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Chance of 10% account loss39.02%
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Chance of 20% account loss26.19%
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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
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Chance of 100% account loss (Monte Carlo)n/a
- Automation
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Percentage Signals Automatedn/a
- Risk of Ruin (Monte-Carlo)
-
Chance of 50% account lossn/a
- Trading Style
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Any stock shorts? 0/10
- 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 Win$634
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Avg Loss$1,916
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Sum Trade PL (losers)$59,408.000
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Sum Trade PL (winners)$77,929.000
-
# Winners123
- Dividends
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Dividends Received in Model Acct556
- Win / Loss
-
Num Months Winners9
- Age
-
Num Months filled monthly returns table216
- Win / Loss
-
# Losers31
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% Winners79.9%
- Frequency
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Avg Position Time (mins)4616.23
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Avg Position Time (hrs)76.94
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Avg Trade Length3.2 days
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Last Trade Ago6374
- Regression
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Alpha-0.00
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Beta0.06
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Treynor Index-0.05
- Maximum Adverse Excursion (MAE)
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MAE:PL (avg, all trades)0.66
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MAE:Equity, average, all trades0.01
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Avg(MAE) / Avg(PL) - All trades32.855
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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:PL - Losing Trades - this strat Percentile of All Strats25.84
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MAE:PL - Winning Trades - this strat Percentile of All Strats25.28
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MAE:Equity, 95th Percentile Value for this strat0.03
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MAE:PL (avg, winning trades)-
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MAE:PL - worst single value for strategy-
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MAE:Equity, average, winning trades0.01
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MAE:Equity, average, losing trades0.03
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MAE:PL (avg, losing trades)-
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Avg(MAE) / Avg(PL) - Winning trades1.139
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Avg(MAE) / Avg(PL) - Losing trades-1.362
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Hold-and-Hope Ratio0.030
- Analysis based on DAILY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to linear regression on benchmark
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a (intercept, estimate of alpha)0.05900
- Analysis based on DAILY values, last 6 months only
- Ratio statistics of excess log return rates
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VAR (95 Confidence Intrvl)0.02700
- DRAW DOWN STATISTICS
- Risk estimates based on draw downs (based on Extreme Value T
- assuming Pareto losses only (using partial moments from Sortino statistics)
-
Max Equity Drawdown (num days)9
-
Last 4 Months - Pcnt Negativen/a
Strategy Description
Many hundreds of pearl oysters or pearl mussels have to be gathered ... in order to find even one pearl
The Name
Pearl: a gemstone and object of beauty
NQ100: it trades Nasdaq-100 stocks.
M: it is designed for manual trading
What to expect
Pearl generates between 2 and 60 limit orders once a day. Positions are held at least one night and a maximum of 12 days.
Positions are opened with limit orders and closed either by limit orders (profit target) or market orders (stop-loss, timeout).
All orders are sent some hours before markets open.
While trades will be filled during the day it is possible to trade it with a one time effort per day.
WARNING: Do not trade this system if did not fully read and understand all trading instructions. Ignoring some of these instructions may cause losses in your trading account.
To reproduce the trades at C2 it is essential to use correct position sizing, 1:2 Margin and a broker which allows more limit orders than buying power but does not fill limit orders when margin requirements are violated.
Background
Pearl uses effects of human psychology and mass psychology in the markets. It was developed using modern statistical methodology which finds significant deviations from random walks, persistent statistical anomalies and areas of predictability. Stock selection is based on quantitative indicators (not TA indicators).
Pearl runs fully automated on dedicated servers and is supervised by two IT professionals.
Details
Pearl generates "Trade Commentary" for all Signals. You should enable these commentarys by switching "Trade Commentary" to "on" on the C2 Pearl page. The trade commentary contains a unique position ID for each position which makes it easy to match opening and closing orders.
All orders are entered before markets open. All positions are held at least one night.
Pearl is an End-Of-Day system.
The system as it works on C2 is designed for the 2:1 margin available there. If you don't want to use margin, just cut position sizes in half.
Pearl is based on a Wealth-Lab script which runs automatically at about 22:00 ET. This script generates usually 5 to 20 limit orders for entries and exits. There are days with no new entries. Then only exit limit orders for all open positions are generated. Occasionally there are up to 50 or 60 orders for a single day. This happens two or three times per year.
All limit orders are posted by 23:00 ET (unless there are major troubles with our servers or the Internet.) People usually send these orders to their brokers manually. Should take 10 to 20 Minutes every trading day.
Usually there are more entry-limit orders active than available buying power so it may happen that the broker rejects some of these orders in the moment these orders are about to be filled.
A similar situation occurs in rare circumstances when the broker sends a margin call. It is the best to close positions with best profit in this case. C2 does this automatically.
As long as you don't mind rejected orders and automatic handling of margin calls (both very rare) you don't need to put more effort into trading Ruby than entering all orders once a day. (while NASDAQ is closed)
Position sizing is an integral part of the Pearl System. With 2:1 margin (as it runs on C2) it uses a "fixed ratio" Position sizing of 15% which allows a maximum of 13 open positions. ( 13 * 15% = 195% of cash+open pos value)
It is critical to limit the system to these 13 positions however.
C2 is instructed to cancel all outstanding BTO orders when buying power falls below about 15% of available capital.
This means, if you use 1:1 / no margin (with an IRA account, for example), you should size each position to 7.5%. If (on a very heavy day) there are more than 13 "fills" IB will reject further fills which is quite ok.
FAQ List
There is a FAQ for Pearl: http://www.finantic.de/joomla/component/option,com_easyfaq/task,cat/catid,24/Itemid,45/
Latest Activity
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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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.