Composer · investment strategy
by Composer Technologies · via Composer
Shifts money each week among 3× stock ETFs—tilting toward the ones with the most stable recent moves. Seeks a smoother ride but remains high risk because all core holdings are leveraged U.S. stocks; an optional 2× gold sleeve can cut drawdowns.
Description from Composer
of the return and risk figures:as the source publishes them
What $10,000 would have become, from the strategy's own published history, against the S&P 500 over the same dates. The basis is labelled.
This strategy doesn’t publish a performance history we can chart.
Each rule is quoted word for word from the strategy's own documents.
No rules extracted from this strategy’s text yet.
4 positions as of 2026-10-11
: the platform's backtest holdings, not a client account.
Compares the stated rules with the holdings (or, where none are published, a mix estimated from returns), using tests fixed before any results were seen.
2.0% of weight in (IVV: 3.0%)
4 funds (SEC N-PORT, as of 2026-05-31)
This strategy’s rules haven’t been extracted yet, so there’s no claim to compare with. The measurement is still shown. : 98% · 2026-10-11 ()
100.0% of weight in (SPY: 0%)
This strategy’s rules haven’t been extracted yet, so there’s no claim to compare with. The measurement is still shown. : 100% · 2026-10-11 ()
4 of 4 funds in its are : SOXL, TQQQ, UDOW, UPRO
This strategy’s rules haven’t been extracted yet, so there’s no claim to compare with. The measurement is still shown. : 100%
Strategies that share its Aggressive risk label, from other sources first, strongest risk-adjusted return first.
Composer Technologies · Composer
Composer Technologies · Composer
How much of what we look for this strategy has, and why anything is missing. Fields that don't apply to it aren't counted.
4 missing
The text the rules are quoted from, with where it came from.
Each week it holds four triple‑leveraged stock funds: UPRO (S&P 500), UDOW (Dow 30 blue‑chips), TQQQ (tech‑heavy Nasdaq‑100), and SOXL (semiconductor makers). It looks at about the past month of daily ups/downs. Calmer funds get bigger weights; jumpier ones get smaller. Goal: smoother returns while staying in stocks. The description also mentions UGL (2× gold) as an optional diversifier to further soften big drops.
Shifts money each week among 3× stock ETFs—tilting toward the ones with the most stable recent moves. Seeks a smoother ride but remains high risk because all core holdings are leveraged U.S. stocks; an optional 2× gold sleeve can cut drawdowns.
Out-of-sample, this strategy posts ~50% annualized return vs ~19% for the S&P, with strong risk-adjusted metrics (Calmar ~0.95, Sharpe ~1.02) and a smoother ride from inverse-vol weighting; note drawdowns can occur in crises.
This strategy aims for steady, low volatility returns by dynamically adjusting asset allocations depending on how volatile each has been. The more volatile an asset, the lower your exposure. Gold (UGL) reduces return but also reduces drawdown.
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $1.6M | 2026-10-11 | |
| Backtest regulatory fees | $186 | 2026-10-11 | |
| Backtest slippage cost | $1,095 | 2026-10-11 |
| AI categories (Composer) | inverse volatility, leveraged etfs, quantitative, risk parity, u.s. equities, weekly rebalance | 2026-10-11 | |
| Asset classes / instruments | equities | 2026-10-11 |
| Logic complexity (node count) | 6 | 2026-10-11 | |
| Rebalance frequency | weekly | 2026-10-11 |
| Concentration (Herfindahl index, out-of-sample, as Composer reports it) | 0.28 | 2026-10-11 | |
| Ticker universe (assets the logic can hold) | show[ "SOXL", "TQQQ", "UDOW", "UPRO" ] | 2026-10-11 |
| Alpha vs SPY, out-of-sample (out-of-sample) | -0.07 | 2026-10-11 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 3.29 | 2026-10-11 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.98 | 2026-10-11 |
| Remixes (copies) | 111 | 2026-10-11 | |
| Watchers | 47 | 2026-10-11 |
| Community review status | ACTIVE | 2026-10-11 |
| Backtest length | 4,146 | 2026-10-11 | |
| Out-of-sample length | 594 | 2026-10-11 | |
| Return, backtest period (annualized) (backtest) | 35.90% | 2026-10-11 | |
| Return, backtest period (cumulative) (backtest) | 15k% | 2026-10-11 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 50.22% | 2026-10-11 | |
| Return, out-of-sample period (cumulative) (out-of-sample) | 161.36% | 2026-10-11 | |
| Return, trailing 1 day (out-of-sample) | 1.54% | 2026-10-11 | |
| Return, trailing 1 month (out-of-sample) | 5.04% | 2026-10-11 | |
| Return, trailing 1 week (out-of-sample) | 0.55% | 2026-10-11 | |
| Return, trailing 1 year (backtest) | 65.86% | 2026-10-11 | |
| Return, trailing 1 year (out-of-sample) | 65.86% | 2026-10-11 | |
| Return, trailing 2 weeks (out-of-sample) | 0.13% | 2026-10-11 | |
| Return, trailing 3 months (out-of-sample) | 2.20% | 2026-10-11 | |
| SPY annualized return over the backtest window (backtest) | 14.07% | 2026-10-11 |
| Calmar ratio, backtest period (backtest) | 0.47 | 2026-10-11 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 0.95 | 2026-10-11 | |
| Maximum drawdown, backtest period (backtest) | -76.12% | 2026-10-11 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -52.98% | 2026-10-11 | |
| Sharpe ratio, backtest period (backtest) | 0.84 | 2026-10-11 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 1.02 | 2026-10-11 | |
| Sortino ratio, backtest period (backtest) | 1.19 | 2026-10-11 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 1.52 | 2026-10-11 | |
| Standard deviation, backtest period (backtest) | 55.03% | 2026-10-11 | |
| Standard deviation, out-of-sample period (out-of-sample) | 53.96% | 2026-10-11 |
| Annualized turnover, backtest period (backtest) | 2.12 | 2026-10-11 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 2.47 | 2026-10-11 | |
| Daily win rate, backtest period (backtest) | 54.85% | 2026-10-11 | |
| Daily win rate, out-of-sample period (out-of-sample) | 55.05% | 2026-10-11 |
Composer Technologies · Composer
Composer Technologies · Composer
