Composer · investment strategy
by Composer Technologies · via Composer
Nasdaq-100 swing tactic: normally hold QQQ. After a 5‑day drop worse than −5%, either fade a sharp 1‑day bounce with QID (−2×) or, if no big bounce, ride a rebound with QLD (+2×). Daily checks; concentrated, high‑volatility exposure.
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.
1 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.
0.5% of weight in (IVV: 3.0%)
1 fund (SEC N-PORT, as of 2026-05-31) · : QQQ via QQQM
This strategy’s rules haven’t been extracted yet, so there’s no claim to compare with. The measurement is still shown. : 96% · 2026-10-11 ()
0.0% 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 ()
2 of 3 funds in its are : QID, QLD
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 Leveraged ETFs 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.
It watches the Nasdaq-100 via QQQ. If QQQ fell more than 5% over the last 5 trading days, it goes tactical: if yesterday jumped more than +1%, it bets on another drop using QID (about 2× opposite QQQ); otherwise it bets on a rebound with QLD (about 2× QQQ). If that 5‑day drop didn’t happen, it just holds QQQ. Rebalanced daily.
Nasdaq-100 swing tactic: normally hold QQQ. After a 5‑day drop worse than −5%, either fade a sharp 1‑day bounce with QID (−2×) or, if no big bounce, ride a rebound with QLD (+2×). Daily checks; concentrated, high‑volatility exposure.
Out-of-sample edge: ~35.16% annualized return vs SPY ~22.69%, with solid risk metrics (Calmar ~1.25, Sharpe ~1.34). Nasdaq-100 tactical, rule-driven strategy offers higher upside, but expect larger drawdowns (~28% vs ~19%) in downturns.
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $842k | 2026-10-11 | |
| Backtest regulatory fees | $769 | 2026-10-11 | |
| Backtest slippage cost | $5,087 | 2026-10-11 |
| AI categories (Composer) | daily rebalanced, leveraged etfs, long/short, momentum-mean reversion, nasdaq-100, tactical | 2026-10-11 | |
| Asset classes / instruments | equities | 2026-10-11 |
| Logic complexity (node count) | 10 | 2026-10-11 | |
| Rebalance frequency | daily | 2026-10-11 |
| Concentration (Herfindahl index, out-of-sample, as Composer reports it) | 1 | 2026-10-11 | |
| Ticker universe (assets the logic can hold) | show[ "QID", "QLD", "QQQ" ] | 2026-10-11 |
| Alpha vs SPY, out-of-sample (out-of-sample) | 0.01 | 2026-10-11 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 1.48 | 2026-10-11 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.93 | 2026-10-11 |
| Remixes (copies) | 11 | 2026-10-11 | |
| Watchers | 5 | 2026-10-11 |
| Community review status | ACTIVE | 2026-10-11 |
| Backtest length | 5,092 | 2026-10-11 | |
| Out-of-sample length | 995 | 2026-10-11 | |
| Return, backtest period (annualized) (backtest) | 24.53% | 2026-10-11 | |
| Return, backtest period (cumulative) (backtest) | 8319% | 2026-10-11 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 35.16% | 2026-10-11 | |
| Return, out-of-sample period (cumulative) (out-of-sample) | 228.98% | 2026-10-11 | |
| Return, trailing 1 day (out-of-sample) | 0.49% | 2026-10-11 | |
| Return, trailing 1 month (out-of-sample) | 4.99% | 2026-10-11 | |
| Return, trailing 1 week (out-of-sample) | 0.23% | 2026-10-11 | |
| Return, trailing 1 year (backtest) | 35.32% | 2026-10-11 | |
| Return, trailing 1 year (out-of-sample) | 35.32% | 2026-10-11 | |
| Return, trailing 2 weeks (out-of-sample) | 0.91% | 2026-10-11 | |
| Return, trailing 3 months (out-of-sample) | 7.23% | 2026-10-11 | |
| SPY annualized return over the backtest window (backtest) | 11.54% | 2026-10-11 |
| Calmar ratio, backtest period (backtest) | 0.44 | 2026-10-11 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 1.25 | 2026-10-11 | |
| Maximum drawdown, backtest period (backtest) | -55.12% | 2026-10-11 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -28.09% | 2026-10-11 | |
| Sharpe ratio, backtest period (backtest) | 0.92 | 2026-10-11 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 1.34 | 2026-10-11 | |
| Sortino ratio, backtest period (backtest) | 1.44 | 2026-10-11 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 2.23 | 2026-10-11 | |
| Standard deviation, backtest period (backtest) | 28.12% | 2026-10-11 | |
| Standard deviation, out-of-sample period (out-of-sample) | 24.65% | 2026-10-11 |
| Annualized turnover, backtest period (backtest) | 10.64 | 2026-10-11 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 6.08 | 2026-10-11 | |
| Daily win rate, backtest period (backtest) | 55.70% | 2026-10-11 | |
| Daily win rate, out-of-sample period (out-of-sample) | 56.18% | 2026-10-11 |
Composer Technologies · Composer
Composer Technologies · Composer
