Momentum Mastery RTS
(155456708)
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.
Trend-following
Tries to take advantage of long, medium or short-term moves that seem to play out in various markets. Typically, trend-following analysis is backward looking; that is, it attempts to recognize and profit from already-established trends.Momentum
Aims to capitalize on the continuance of existing trends in the market. Trader takes a long position in an asset in an upward trend, and short-sells a security that has been in a downward trend. While similar to Trend-following, tends to be more forward-looking (predicting oncoming trend), while Momentum is more backward-looking (observing already-established price direction).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 | $49,837 | |
| Cash | $36,628 | |
| Equity | ($162) | |
| Cumulative $ | ($162) | |
| Total System Equity | $49,837 | |
| Margined | ($13,371) | |
| Open P/L | ($162) |
Statistics
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Strategy began4/8/2026
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Suggested Minimum Cap$15,000
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Strategy Age (days)2.98
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Age3 days ago
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What it tradesStocks
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# Trades5
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# Profitable2
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% Profitable40.00%
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Avg trade duration2.3 days
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Max peak-to-valley drawdown0.45%
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drawdown periodApril 09, 2026 - April 10, 2026
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Avg win$9.00
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Avg loss$60.33
- Model Account Values (Raw)
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Cash$36,628
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Margin Used($13,371)
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Buying Power$49,837
- Ratios
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W:L ratio0.10:1
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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)-1.20%
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Return Percent SP500 (cumu) during strategy life0.50%
- Verified
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C2Star1
- Return Statistics
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Ann Return (w trading costs)-36.3%
- 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 life0.71%
- Instruments
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Percent Trades Stocks1.00%
- Slump
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Current Slump as Pcnt Equity0.40%
- 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)-0.007%
- Instruments
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Percent Trades Forexn/a
- Return Statistics
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Ann Return (Compnd, No Fees)-25.6%
- Automation
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Percentage Signals Automatedn/a
- Popularity
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Popularity (Today)427
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Popularity (Last 6 weeks)484
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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 Score924
- 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$9
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Avg Loss$60
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Sum Trade PL (losers)$181.000
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Sum Trade PL (winners)$18.000
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# Winners2
- Dividends
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Dividends Received in Model Acct0
- Win / Loss
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Num Months Winners0
- Age
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Num Months filled monthly returns table1
- Win / Loss
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# Losers3
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% Winners40.0%
- Frequency
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Avg Position Time (mins)3246.78
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Avg Position Time (hrs)54.11
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Avg Trade Length2.3 days
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Last Trade Ago1
- Leverage
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Daily leverage (average)0.46
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Daily leverage (max)0.54
- Maximum Adverse Excursion (MAE)
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Hold-and-Hope Ratio-0.908
- 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 Negative0.25%
Strategy Description
Regime Trend Squeeze is a systematic, rules-based equity trading strategy designed to identify and participate in directional price movements that emerge from periods of volatility contraction.
The strategy focuses on liquid U.S. equities within defined price and volume thresholds, with an emphasis on stocks demonstrating relative strength and orderly price behavior. Trade candidates are identified using objective technical conditions associated with volatility compression (“squeeze”) and subsequent expansion aligned with the prevailing trend.
A core component of the system is a market regime filter, which evaluates broader market conditions to determine when risk exposure should be increased or reduced. The strategy primarily seeks long exposure during favorable market regimes and may reduce or avoid participation during periods of elevated risk or unfavorable conditions.
Entries are executed based on predefined technical signals. Positions may be increased incrementally as trades move in the intended direction, subject to risk constraints. Exits are governed by systematic rules, including trailing stops and regime-based signals designed to limit downside exposure.
Risk management is central to the system design. Key elements include:
* Defined initial risk per position
* Limits on the number of concurrent positions
* Portfolio exposure controls
* Systematic exit and stop-loss mechanisms
The objective of the strategy is to pursue risk-adjusted returns over time, with a focus on capital preservation and disciplined participation in trending market environments.
⚖️ Risk Disclosure & Expectations
Trading involves substantial risk, and losses can occur. This strategy is not designed to perform in all market conditions.
Users should expect:
Periods of draw-down
Periods of low or no exposure
Occasional consecutive losing trades
Variability in performance depending on market conditions
Performance is influenced by broader market behavior, particularly the presence or absence of sustained trends. During choppy, non-trending, or highly volatile environments, results may be muted or negative.
This system is intended for individuals who understand the risks of active trading and are comfortable following a rules-based strategy through varying market conditions.
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.