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These are hypothetical performance results that have certain inherent limitations. Learn more

TQQQ Bold Edge
(155252448)

Created by: MichaelBorisov MichaelBorisov
Started: 03/2026
Stocks
Last trade: 13 days ago
Trading style: Equity Trend-following Momentum

Subscriptions not available

No subscriptions are currently available for this strategy because the strategy manager has capped the maximum number of subscribers.

Subscription terms. Subscriptions to this system cost $29.00 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.

Trading Category: Equity
Trend-following
Category: Equity

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
Category: Equity

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).
67.6%
Cumul. Return

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.

(20.6%)
Max Drawdown
2
Num Trades
50.0%
Win Trades
2.8 : 1
Profit Factor
75.0%
Win Months
Hypothetical Monthly Returns (includes system fee and Typical Broker commissions and fees)
 JanFebMarAprMayJunJulAugSepOctNovDecYTD
2026              +0.9%+52.4%+33.1%(18.1%)                                    +67.6%

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.

System developer has asked us to delay this information by 168 hours.

Trading Record

Download CSV
Long
Short
Both
Win
Loss
Both
Show More details Show Fewer details
Opened Date/TimeSymbolDescriptionSideQuantAvg PriceClosed Date/TimeAvg PriceDrawdownP/L
3/26/26 15:58 TQQQ PROSHARES ULTRAPRO QQQ LONG 605.500000000 41.27 5/29 11:32 84.75 10.19%
Trade id #155252799
Max drawdown($2,389)
Time3/30/26 0:00
Quant open605
Worst price37.32
Drawdown as % of equity-10.19%
$26,324
Includes Typical Broker Commissions trade costs of $2.50

Statistics

  • Strategy began
    3/26/2026
  • Suggested Minimum Cap
    $15,000
  • Strategy Age (days)
    76.66
  • Age
    77 days ago
  • What it trades
    Stocks
  • # Trades
    2
  • # Profitable
    1
  • % Profitable
    50.00%
  • Avg trade duration
    38.3 days
  • Max peak-to-valley drawdown
    20.59%
  • drawdown period
    June 03, 2026 - June 10, 2026
  • Cumul. Return
    67.6%
  • Avg win
    $26,327
  • Avg loss
    $9,335
  • Model Account Values (Raw)
  • Cash
    $12,894
  • Margin Used
    ($12,811)
  • Buying Power
    $16,369
  • Ratios
  • W:L ratio
    2.82:1
  • Sharpe Ratio
    4.38
  • Sortino Ratio
    6.96
  • Calmar Ratio
    53.871
  • CORRELATION STATISTICS
  • Return of Strat Pcnt - Return of SP500 Pcnt (cumu)
    55.37%
  • Correlation to SP500
    0.77530
  • Return Percent SP500 (cumu) during strategy life
    12.19%
  • Return Statistics
  • Ann Return (w trading costs)
    964.7%
  • Slump
  • Current Slump as Pcnt Equity
    25.90%
  • Return Statistics
  • Return Pcnt (Compound or Annual, age-based, NFA compliant)
    0.676%
  • Instruments
  • Percent Trades Options
    n/a
  • Percent Trades Futures
    n/a
  • Slump
  • Current Slump, time of slump as pcnt of strategy life
    0.11%
  • Instruments
  • Percent Trades Stocks
    1.00%
  • Return Statistics
  • Return Pcnt Since TOS Status
    n/a
  • Instruments
  • Short Options - Percent Covered
    100.00%
  • Percent Trades Forex
    n/a
  • Return Statistics
  • Ann Return (Compnd, No Fees)
    1044.2%
  • Risk of Ruin (Monte-Carlo)
  • Chance of 10% account loss
    11.00%
  • Chance of 20% account loss
    n/a
  • Chance of 30% account loss
    n/a
  • Chance of 40% account loss
    n/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
  • Automation
  • Percentage Signals Automated
    n/a
  • Risk of Ruin (Monte-Carlo)
  • Chance of 50% account loss
    n/a
  • Popularity
  • Popularity (Today)
    600
  • Popularity (Last 6 weeks)
    925
  • Popularity (7 days, Percentile 1000 scale)
    842
  • Trading Style
  • Any stock shorts? 0/1
    0
  • Popularity
  • C2 Score
    919
  • Trades-Own-System Certification
  • Trades Own System?
    -
  • TOS percent
    n/a
  • Win / Loss
  • Avg Win
    $26,327
  • Avg Loss
    $9,335
  • Sum Trade PL (losers)
    $9,335.000
  • # Winners
    1
  • Num Months Winners
    3
  • Age
  • Num Months filled monthly returns table
    4
  • Win / Loss
  • Sum Trade PL (winners)
    $26,327.000
  • Dividends
  • Dividends Received in Model Acct
    0
  • Win / Loss
  • # Losers
    1
  • % Winners
    50.0%
  • Frequency
  • Avg Position Time (mins)
    55189.60
  • Avg Position Time (hrs)
    919.83
  • Avg Trade Length
    38.3 days
  • Last Trade Ago
    13
  • Leverage
  • Daily leverage (average)
    2.25
  • Daily leverage (max)
    3.48
  • Regression
  • Alpha
    0.32
  • Beta
    2.59
  • Treynor Index
    0.27
  • Maximum Adverse Excursion (MAE)
  • MAE:Equity, average, all trades
    0.17
  • MAE:Equity, losing trades only, 95th Percentile Value for this strat
    -
  • MAE:Equity, win trades only, 95th Percentile Value for this strat
    -
  • MAE:PL (avg, winning trades)
    -
  • MAE:PL - worst single value for strategy
    -
  • MAE:PL (avg, losing trades)
    -
  • MAE:PL (avg, all trades)
    -0.53
  • Avg(MAE) / Avg(PL) - All trades
    0.786
  • MAE:Equity, 95th Percentile Value for this strat
    0.23
  • MAE:Equity, average, winning trades
    0.10
  • MAE:Equity, average, losing trades
    0.23
  • Avg(MAE) / Avg(PL) - Winning trades
    0.091
  • Avg(MAE) / Avg(PL) - Losing trades
    -1.141
  • Hold-and-Hope Ratio
    1.285
  • Analysis based on DAILY values, full history
  • RATIO STATISTICS
  • Ratio statistics of excess return rates
  • Statistics related to linear regression on benchmark
  • a (intercept, estimate of alpha)
    1.21000
  • Analysis based on DAILY values, last 6 months only
  • Ratio statistics of excess log return rates
  • VAR (95 Confidence Intrvl)
    0.03800
  • DRAW DOWN STATISTICS
  • Risk estimates based on draw downs (based on Extreme Value T
  • assuming Pareto losses only (using partial moments from Sortino statistics)
  • Strat Max DD how much worse than SP500 max DD during strat life?
    -385146000
  • Max Equity Drawdown (num days)
    7
  • Last 4 Months - Pcnt Negative
    0.25%

Strategy Description

Investment Objective
TQQQ Bold Edge seeks aggressive long-term capital appreciation through high-conviction allocation to TQQQ, with tactical rotation to defensive assets during adverse market regimes, driven by momentum and trend-following signals.

Strategy Highlights
• No discretionary overrides — purely systematic execution
• No martingale, grid trading, or loss-chasing position sizing
• Fully transparent ETF-only portfolio — no OTC derivatives or illiquid instruments
• IRA-compatible — no short selling or intentional portfolio-level margin usage
• Backtested across decades of diverse market environments

Instrument Universe
• 3x leveraged equities: TQQQ (Nasdaq-100)
• Defensive assets: IAU (Gold), SGOV (Short-term Treasuries)

How It Works
The strategy maintains a high-conviction allocation to TQQQ during favorable market conditions and rotates to defensive assets when trend signals weaken or drawdown risk increases.
A proprietary multi-signal framework combines momentum, trend persistence, and drawdown control mechanisms. This design enables participation in sustained bull markets while reducing exposure during adverse regimes.
Every trade is generated by a data-driven algorithm with no discretionary overrides, ensuring consistent execution of the long-term model.


Rebalancing
Monthly. Positions are reviewed and adjusted at the end of each calendar month. Intra-month rebalancing may be triggered by material price movements or accelerating drawdowns.
All trades are placed approximately 2-4 minutes before market close, providing AutoTrade subscribers sufficient time to execute at near-closing prices.

Leverage & Margin
The strategy utilizes embedded 3x leverage through the selected ETF (TQQQ). It does not intentionally employ additional portfolio-level margin. Temporary margin usage may occur solely due to timing differences between signal generation and order execution.

IRA-Compatible Structure
Designed with features common to IRA-eligible strategies:
• Long-only positions — no short selling
• No intentional portfolio-level margin beyond embedded TQQQ leverage
• Uses liquid exchange-traded instruments
Please check with your broker or tax advisor before subscribing to ensure the strategy is compatible with your specific account type.

Strategy Backtest
Backtested using proxy data since the mid-1990s across multiple market cycles — including the dot-com bust, the 2008 Global Financial Crisis, the COVID crash, and the 2022 bear market — the model has demonstrated compounded growth with peak-to-trough drawdowns in line with those outlined in the Investor Suitability section below.
Past backtest performance does not guarantee future results.

Investor Suitability
This strategy is suitable for aggressive investors who accept historical peak-to-trough drawdowns of 60% or more, maintain a minimum 6-year investment horizon, and understand the mechanics of leveraged ETFs. Not suitable for capital required within 1–5 years or investors sensitive to short-term portfolio volatility.

Founder's Launch Phase
The TQQQ Bold Edge strategy is currently in the initial launch phase on Collective2. A founding rate of $29/month is available for the first 20 subscribers. This rate is intended to remain locked for early adopters as the strategy builds its live track record and the subscription fee increases over time.

Summary Statistics

Strategy began
2026-03-26
Suggested Minimum Capital
$15,000
Rank at C2 %
Top 8.1%
Rank # 
#369
# Trades
2
# Profitable
1
% Profitable
50.0%
Correlation S&P500
0.775
Sharpe Ratio
4.38
Sortino Ratio
6.96
Beta
2.59
Alpha
0.32
Leverage
2.25 Average
3.48 Maximum
Summary
Higher leverage = greater risk.

More information about leverage

Collective2 calculates the maximum leverage used by a strategy in each day. We then display the average of these measurements (i.e. the average daily maximum leverage) and the greatest of these measurements (maximum daily leverage).

Leverage is the ratio of total notional value controlled by a strategy divided by its Model Account equity. Generally higher leverage implies greater risk.

Example of calculation:
The Strategy buys 100 shares of stock at $12 per share.
The Model Account equity during that day is $5,000.
The leverage is: $1200 / $5,000 = 0.24

This is a useful measurement, but it should be considered in context. This measurement doesn't take into account important factors, such as when multiple positions are held that are inversely correlated. Nor does the measurement take into account the volatility of the instruments being held.

In addition, certain asset classes are inherently more leveraged than others. For example, futures contracts are highly leveraged. Forex positions are often even more leveraged than futures.

Latest Activity

subscribed on started simulation

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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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.