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Omega TQQQ SQQQ

Stocks · Started Jul 2026

Trades Own Strategy

hypothetical · Cumul. Return
1.1%
Max Drawdown
3.8%
Trades
13
Win Trades
30.8%
Profit Factor
3.30
Win Months
50.0%
Subscribe Full access for $230/month

About this strategy

Omega TQQQ SQQQ is a meta-strategy — a single trading system built from a diversified set of independently-developed sub-strategies running in parallel, each trading TQQQ or SQQQ (3x leveraged Nasdaq-100 ETFs) on its own signal logic and timeframe, from 5-minute intraday trend initiation through daily-bar swing and mean-reversion systems. Rather than betting on one method working in every market condition, Omega TQQQ SQQQ combines fast trend-following components with slower, condition-sensitive swing logic so that different parts of the system tend to contribute in different market environments. Each component was allocated a fixed, tested position size and combined only after being evaluated for how it affected the ensemble's risk-adjusted performance — not just its own standalone return.

Key Strengths

Multiple independent strategies across four timeframes — 5-minute, 15-minute, and 30-minute intraday trend systems combined with daily-bar swing and mean-reversion components, so the system isn't dependent on one holding period or one type of market behavior.
Diversification that's been measured, not assumed — components were selected based on how little they overlapped with each other's behavior, not just on which had the best individual numbers. Candidate strategies with strong standalone returns were tested and excluded when they added drawdown without meaningfully improving the ensemble's risk-adjusted performance.
The ensemble outperforms every one of its parts — in backtesting, the combined system's Sharpe ratio exceeded that of every individual component, including the strongest single strategy in the mix — direct evidence the diversification is doing real work, not just adding complexity.
Regime- and volatility-aware components — several of the underlying trend-following systems incorporate trend-strength and volatility-regime filtering rather than trading blindly on price alone.
Runs live exactly as backtested — the live deployment trades at 1.0x margin (no leverage), the same no-margin configuration validated in backtesting for cash and retirement-account compatibility — not a theoretical "would also work" claim.
Risk Controls & Discipline

Fixed, tested position sizing — each component is allocated a set percentage of equity determined through direct testing (including testing whether a larger allocation improved results — it didn't), not discretionary sizing.
No single point of failure — because the components trade independently across different signals and timeframes, no single strategy's bad week determines the portfolio's outcome.
Volatility-based and time-based exit logic in the trend-following components, rather than open-ended trend-following with no defined risk per trade.
A documented exclusion process — candidate components are only added when they demonstrably improve the ensemble's risk-adjusted return; several were tested and rejected for this program specifically because they didn't clear that bar.
No leverage required — validated to work within a no-margin account structure, which matters for subscribers trading through retirement or otherwise margin-restricted accounts.

Why Subscribe

Building and maintaining a diversified set of uncorrelated trading strategies, testing them against each other for genuine diversification benefit, and continuously validating that the combination still earns its complexity is a substantial ongoing research effort — one most individual traders don't have the time, data infrastructure, or tooling to replicate themselves. Subscribing to Omega TQQQ SQQQ gives you access to that completed research and its ongoing signals, in a system built around a specific question: does adding this component make the whole portfolio better, not just add another strategy to the pile. It's designed to be workable within the constraints of a real account — including accounts that can't use margin — rather than requiring subscribers to take on leverage they may not want or be able to use.

Risk Disclosure

Omega TQQQ SQQQ trades TQQQ and SQQQ, both 3x leveraged ETFs — these instruments carry elevated volatility and are subject to compounding/decay effects over holding periods, and are not suitable for all investors or account sizes. Historical backtested results referenced above (or elsewhere in this listing) reflect hypothetical performance over a 10-year lookback and are shown for illustrative purposes only — they do not reflect actual trading, are subject to the limitations of backtested performance generally, and should not be relied upon as an indication of future results. Live trading results, once established, are reported independently by Collective2 based on actual signal history since publication. Past performance, whether backtested or live, does not guarantee future results. As with any trading strategy, subscribers should independently evaluate whether this strategy is suitable for their financial situation and risk tolerance before subscribing.

Hypothetical Monthly Returns (includes fees/commissions)

YearJanFebMarAprMayJunJulAugSepOctNovDecYTD
2026-1.22.41.1

Statistics

Overview

Strategy began7/19/2026
Suggested Minimum Capital$35,000
Age34 days
C2 RankTop 8.6%
What it tradesStocks
# Trades13
# Profitable4
% Profitable30.8%
Avg trade duration1.2 days
Max peak-to-valley drawdown3.8%
drawdown periodAug 13, 2026 - Aug 19, 2026
Cumul. Return1.1%
Avg win$236
Avg loss$32

Ratios

W:L ratio3.32
Sharpe Ratio
Sortino Ratio
Calmar Ratio

CORRELATION STATISTICS

Return Percent SP500 (cumu) during strategy life2.9%
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)-1.8%

Return Statistics

Ann Return (w trading costs)11.3%
Return Pcnt (Compound or Annual, age-based, NFA compliant)0.0%
Return Pcnt Since TOS Status1.4%
Ann Return (Compnd, No Fees)91.3%

Slump

Current Slump as Pcnt Equity3.9%
Current Slump, time of slump as pcnt of strategy life0.3%

Instruments

Percent Trades Forex0.0%
Percent Trades Futures0.0%
Percent Trades Options0.0%
Short Options - Percent Covered100.0%
Percent Trades Stocks1.0%

Risk of Ruin (Monte-Carlo)

Chance of 10% account loss0.0%
Chance of 20% account loss0.0%
Chance of 30% account loss0.0%
Chance of 40% account loss0.0%
Chance of 50% account loss0.0%
Chance of 60% account loss (Monte Carlo)0.0%
Chance of 70% account loss (Monte Carlo)0.0%
Chance of 80% account loss (Monte Carlo)0.0%
Chance of 90% account loss (Monte Carlo)0.0%

Automation

Percentage Signals Automated100.0%

Popularity

Popularity (Today)453
Popularity (Last 6 weeks)836
C2 Score914
Popularity (7 days, Percentile 1000 scale)718

Trading Style

Any stock shorts? 0/11

Trades-Own-System Certification

Trades Own System?187667
TOS percent100.0%

Win / Loss

Avg Loss$32
Avg Win$236
# Winners4
Sum Trade PL (losers)$284
Sum Trade PL (winners)$943
Num Months Winners2
# Losers9
% Winners30.8%

Dividends

Dividends Received in Model Acct0

Age

Num Months filled monthly returns table2

Frequency

Avg Position Time (mins)1798.02
Avg Position Time (hrs)29.97
Avg Trade Length1.20
Last Trade Ago6

Leverage

Daily leverage (average)2.01
Daily leverage (max)2.86

Maximum Adverse Excursion (MAE)

Hold-and-Hope Ratio1.13

DRAW DOWN STATISTICS

Strat Max DD how much worse than SP500 max DD during strat life?-388927744
Max Equity Drawdown (num days)6
Last 4 Months - Pcnt Negative0.0%

Trading record

Placed 44 trades in real-life brokerage accounts.

SymbolSideQtyOpenedClosedP/L
TQQQ short18Aug 17, 2026Aug 17, 2026($0)
TQQQ long96Aug 17, 2026Aug 17, 2026($16)
TQQQ short21Aug 17, 2026Aug 17, 2026$1
TQQQ long439Aug 7, 2026Aug 17, 2026($4)
SQQQ long68Aug 14, 2026Aug 14, 2026($3)
TQQQ long66Aug 7, 2026Aug 7, 2026($24)
TQQQ long33Aug 7, 2026Aug 7, 2026($23)
TQQQ long34Aug 6, 2026Aug 6, 2026($8)
TQQQ long34Aug 6, 2026Aug 6, 2026($3)
TQQQ short39Aug 4, 2026Aug 4, 2026($62)
TQQQ long111Jul 30, 2026Aug 4, 2026$907
SQQQ long51Jul 31, 2026Jul 31, 2026$27
SQQQ long96Jul 29, 2026Jul 30, 2026($155)

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.