Welcome to Collective2

Follow these tips for a better experience

Ok, let's start

Close
Add to Watch List Create new Watch List
Add
Enter a name for your Watch List.
Watch List name must be less than 60 characters.
You have reached the maximum number of custom Watch Lists.
You have reached the maximum number of strategies in this Watch List.
Strategy added to Watch List. Go to Watch List

Sim is unavailable for this strategy, because you've recently "Simmed" it.

You already have a live, full-featured subscription to this strategy.

Okay, no problem

Reach out to us when you are ready. You can schedule your free training session at any time by clicking the button.

Remember, this training is free, low pressure, and (we hope!) fun.

Got it

Later

You can find it here.

Got it

Video Saved for Later

You can watch this video later. Just click this button at the top of the screen whenever you're ready to watch it.

Got it

Quant Harmony Systematic

Stocks · Started Jul 2026

Trades Own Strategy BrokerTransmit

hypothetical · Cumul. Return
22.2%
Max Drawdown
6.1%
Trades
29
Win Trades
51.7%
Profit Factor
5
Win Months
Subscribe Full access for $79/month

About this strategy

Harmony Systematic is a signal-driven, fully rules-based strategy designed to remove emotion and human bias from investing. It uses a defined set of market signals to increase or decrease exposure through leveraged ETFs, aiming to participate aggressively in strong trends while reducing risk when conditions weaken. The strategy is not buy-and-hold; it is built to adapt dynamically to changing market conditions and pursue momentum and trend participation.

The objective is to provide investors with a systematic, high-upside approach that operates independently of discretionary decision-making. It focuses on liquid large-cap index ETFs, including leveraged and inverse instruments tied to major equity benchmarks such as the Nasdaq and the S&P 500. Position sizes adjust based on signal strength and prevailing market conditions, allowing the portfolio to scale exposure up or down as needed.

Rebalancing occurs only when signals change, with no fixed schedule. The portfolio may shift quickly between offensive and defensive positioning, sometimes multiple times per week, depending on the system’s inputs. Risk is managed through systematic exposure control, but the strategy can still experience significant volatility and rapid drawdowns, especially in sideways or choppy markets.

Statistics

Overview

Strategy began7/28/2026
Suggested Minimum Capital$5,000
Age26 days
C2 RankTop 8.6%
What it tradesStocks
# Trades29
# Profitable15
% Profitable51.7%
Avg trade duration1.6 days
Max peak-to-valley drawdown6.0%
drawdown periodAug 17, 2026 - Aug 20, 2026
Avg win$3,670
Avg loss$788

Ratios

W:L ratio4.99
Sharpe Ratio
Sortino Ratio
Calmar Ratio

CORRELATION STATISTICS

Return Percent SP500 (cumu) during strategy life3.3%
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)18.9%

Return Statistics

Ann Return (w trading costs)1080.5%
Return Pcnt (Compound or Annual, age-based, NFA compliant)0.2%
Return Pcnt Since TOS Status0.0%
Ann Return (Compnd, No Fees)1363.1%

Slump

Current Slump as Pcnt Equity5.8%
Current Slump, time of slump as pcnt of strategy life0.2%

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 loss1.0%
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 Automated0.0%

Popularity

Popularity (Today)0
Popularity (Last 6 weeks)881
C2 Score914
Popularity (7 days, Percentile 1000 scale)510

Trading Style

Any stock shorts? 0/11

Trades-Own-System Certification

Trades Own System?187654
TOS percent100.0%

Win / Loss

Avg Loss$788
Avg Win$3,670
# Winners15
Sum Trade PL (losers)$11,027
Sum Trade PL (winners)$55,057
Num Months Winners1
# Losers14
% Winners51.7%

Dividends

Dividends Received in Model Acct0

Age

Num Months filled monthly returns table2

Frequency

Avg Position Time (mins)2347.75
Avg Position Time (hrs)39.13
Avg Trade Length1.60
Last Trade Ago10

Leverage

Daily leverage (average)2.86
Daily leverage (max)6.53

Maximum Adverse Excursion (MAE)

Hold-and-Hope Ratio1.64

DRAW DOWN STATISTICS

Strat Max DD how much worse than SP500 max DD during strat life?-404311264
Max Equity Drawdown (num days)3
Last 4 Months - Pcnt Negative0.2%

Trading record

Placed 9 trades in real-life brokerage accounts.

SymbolSideQtyOpenedClosedP/L
VST long30Aug 10, 2026Aug 11, 2026$26
VRT long15Aug 10, 2026Aug 11, 2026$99
TLN long12Aug 10, 2026Aug 11, 2026$96
SNPS long10Aug 10, 2026Aug 11, 2026($147)
ROK long10Aug 10, 2026Aug 11, 2026$36
PWR long7Aug 10, 2026Aug 11, 2026$23
NVDA long22Aug 10, 2026Aug 11, 2026$13
NBIS long18Aug 10, 2026Aug 11, 2026$6
MPWR long3Aug 10, 2026Aug 11, 2026$48
MELI long3Aug 10, 2026Aug 11, 2026$155
GOOGL long13Aug 10, 2026Aug 11, 2026($35)
GEV long5Aug 10, 2026Aug 11, 2026$122
FICO long4Aug 10, 2026Aug 11, 2026($104)
CRDO long19Aug 10, 2026Aug 11, 2026($176)
COHR long12Aug 10, 2026Aug 11, 2026($134)
COCO long57Aug 10, 2026Aug 11, 2026($140)
CDNS long12Aug 10, 2026Aug 11, 2026($156)
AXON long11Aug 10, 2026Aug 11, 2026($216)
ASML long2Aug 10, 2026Aug 11, 2026$98
ANET long29Aug 10, 2026Aug 11, 2026$48
AMKR long57Aug 10, 2026Aug 11, 2026($2)
ALAB long12Aug 10, 2026Aug 11, 2026($144)
BIL long5444.16Aug 4, 2026Aug 5, 2026($49)
TQQQ long1697.02Aug 4, 2026Aug 5, 2026($517)
TQQQ long5412.06Jul 29, 2026Jul 31, 2026$36,144
SOXL short48.15Jul 30, 2026Jul 31, 2026($410)
SOXL long963Jul 29, 2026Jul 30, 2026$18,071

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.