Goldilocks Autotrader
(151845959)
Subscription terms. Subscriptions to this system cost $150.00 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.
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 | $50,000 | |
| Buy Power | $50,453 | |
| Cash | $50,453 | |
| Equity | $0 | |
| Cumulative $ | $453 | |
| Total System Equity | $50,453 | |
| Margined | $0 | |
| Open P/L | $0 |
Trading Record
Statistics
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Strategy began5/27/2025
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Suggested Minimum Cap$50,000
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Strategy Age (days)1.93
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Age2 days ago
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What it tradesFutures
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# Trades4
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# Profitable3
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% Profitable75.00%
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Avg trade duration37.6 minutes
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Max peak-to-valley drawdown0%
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drawdown periodMay 27, 2025 - May 28, 2025
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Avg win$152.67
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Avg loss$5.00
- Model Account Values (Raw)
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Cash$50,453
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Margin Used$0
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Buying Power$50,453
- Ratios
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W:L ratio91.60:1
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Sharpe Ratio
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Sortino Ratio
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Calmar Ratio
- CORRELATION STATISTICS
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Return of Strat Pcnt - Return of SP500 Pcnt (cumu)0.57%
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Return Percent SP500 (cumu) during strategy life-0.16%
- Verified
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C2Star1
- Return Statistics
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Ann Return (w trading costs)14.2%
- Instruments
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Percent Trades Optionsn/a
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Percent Trades Futures1.00%
- Slump
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Current Slump, time of slump as pcnt of strategy lifen/a
- Instruments
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Percent Trades Stocksn/a
- Slump
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Current Slump as Pcnt Equityn/a
- Instruments
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Short Options - Percent Covered100.00%
- Return Statistics
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Return Pcnt Since TOS Statusn/a
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Return Pcnt (Compound or Annual, age-based, NFA compliant)0.002%
- Instruments
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Percent Trades Forexn/a
- Return Statistics
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Ann Return (Compnd, No Fees)199.8%
- Risk of Ruin (Monte-Carlo)
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Chance of 10% account lossn/a
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Chance of 20% account lossn/a
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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 Automated100.00%
- 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)0
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Popularity (7 days, Percentile 1000 scale)0
- Trading Style
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Any stock shorts? 0/10
- Popularity
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C2 Score932
- 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$153
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Avg Loss$5
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Sum Trade PL (losers)$5.000
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Sum Trade PL (winners)$458.000
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# Winners3
- Dividends
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Dividends Received in Model Acct0
- Win / Loss
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Num Months Winners1
- Age
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Num Months filled monthly returns table1
- Win / Loss
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# Losers1
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% Winners75.0%
- Frequency
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Avg Position Time (mins)37.62
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Avg Position Time (hrs)0.63
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Avg Trade Length0.0 days
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Last Trade Ago0
- Leverage
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Daily leverage (average)0.67
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Daily leverage (max)0.67
- Maximum Adverse Excursion (MAE)
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Hold-and-Hope Ratio0.231
- Analysis based on DAILY values, last 6 months only
- DRAW DOWN STATISTICS
- Risk estimates based on draw downs (based on Extreme Value T
- assuming Pareto losses only (using partial moments from Sortino statistics)
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Max Equity Drawdown (num days)1
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Last 4 Months - Pcnt Negativen/a
Strategy Description
ExperSignal users an event classifier trading technology using neural network algorithms. It uses multiple software engine sets to identify and confirm real-time turning points in markets that are constantly changing.
The ExperSignal engines use cross-validation to avoid over-fitting data. The data is divided into three data sets:
- A learning set
- A testing set
- A validation set
The three sets are subjected to successively harsher examination and determine if parameters can migrate or adapt within the three data sets. The objective is to reject false relationships.
The engines examine sets of pivot points.
Every individual turning point in a market can be described in 10 equations called pivot points. Half of the pivot patterns are bullish and the other half are bearish. They mirror each other.
ExperSignal groups four pivot point sequences to form a maximum of 140 specific patterns. These patterns are analyzed to determine the type of move in place.
30 of these 140 patterns can be grouped into three specific turning patterns which occur on a daily basis. These particular patterns exhibit very specific characteristics that can be detected by recognition techniques and timing entry/exit points more accurately.
The engines use a process of triangulation to pinpoint critical events and turning points. Traditional programs tend to use a single domain such as time or frequency. These are normally a rework of price and not considered optimal.
ExperSignal processes inputs in at least three domains, across multiple timeframes and in parallel to prepare data correctly.
For example, suppose you are in a fighter jet chasing an enemy. You have to hit your target with your laser beam.
You can use triangulation to map the trajectory of your target jet. Despite the target's ability to speed up, slow down, veer left, right, up or down, you can use parallel calculations to generate a series of curves or waves which will allow you to track the target jet very accurately.
It is possible to reach a point that the resulting trajectories may reach a point where the target jet can't defy the laws of physics. This is when your target reaches an event horizon, or boundary of potential impact.
Your target jet won't be able to alter its flight path quickly enough to avoid being hit by your laser beam given you now have coordinates of a confirmed trajectory .
The markets are no different when mapped as wave forms and trajectories. Prices rise and fall but behave in a way that can be mapped with enough accuracy using multiple domains that potential turning points will enter an event horizon or boundary which can be classified by one of the 10 pivot patterns.
At this point, market momentum will present a profitable opportunity.
ExperSignal uses three child neural networks. Each specializes in classifying a particular turning point cluster. The children networks are monitored by a mother neural network to make a final decision
Each child network seeks minima's within defined feature space which correspond to specific pivot points. The mother network adjusts the spatial position of each child (relative to each other) to gain perspective for identifying global minima or a true turning point.
The mother network approach ensures the final decision is not taken in isolation, which is the case in a rule based program.
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.
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.
C2Star strategies cannot be made private.
To make this strategy private, you need to first withdraw from C2Star program.
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.