Composer · investment strategy
by Composer Technologies · via Composer
A short-term, high-risk strategy. If markets are overheated, it buys volatility (UVXY). If tech is washed out, it buys 3x tech (TECL). Otherwise, three slices flip between 3x bullish or bearish biotech based on bond-vs-stock momentum, plus a fast LLY/AVGO/TLT rotator.
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.
3 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.
0.0% of weight in (IVV: 3.0%)
2 funds (SEC N-PORT, as of 2026-07-31)
This strategy’s rules haven’t been extracted yet, so there’s no claim to compare with. The measurement is still shown. : 99% · 2026-10-11 ()
49.3% 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 ()
5 of 14 funds in its are : LABD, LABU, TECL, TQQQ, UVXY
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.
1) If the Nasdaq-100 or S&P 500 look extremely overheated (very high recent-speed reading), buy a volatility ETF (UVXY).<br>2) Else if leveraged tech looks washed out, buy a 3x tech bull ETF (TECL).<br>3) Otherwise, three slices each compare recent bond vs stock strength to choose bullish or bearish 3x biotech, plus a side sleeve that picks the strongest of LLY, AVGO, or TLT this week.
A short-term, high-risk strategy. If markets are overheated, it buys volatility (UVXY). If tech is washed out, it buys 3x tech (TECL). Otherwise, three slices flip between 3x bullish or bearish biotech based on bond-vs-stock momentum, plus a fast LLY/AVGO/TLT rotator.
Out-of-sample annualized return: 27.87% vs SPY's 20.09%, signaling higher long-run upside. Strategy uses volatility hedges, leveraged tech and biotech rotations to adapt across regimes. Note: higher drawdowns (~46.98%) than SPY (~18.76%).
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $110.3M | 2026-10-11 | |
| Backtest regulatory fees | $310k | 2026-10-11 | |
| Backtest slippage cost | $3.0M | 2026-10-11 |
| AI categories (Composer) | biotech focus, bond-vs-stock regime, leveraged etfs, rsi-based, short-term rotation, tactical momentum, volatility hedge | 2026-10-11 | |
| Asset classes / instruments | equities | 2026-10-11 |
| Logic complexity (node count) | 82 | 2026-10-11 | |
| Rebalance corridor width | 10.00% | 2026-10-11 | |
| Rebalance frequency | none | 2026-10-11 |
| Concentration (Herfindahl index, out-of-sample, as Composer reports it) | 0.51 | 2026-10-11 | |
| Ticker universe (assets the logic can hold) | show[ "AGG", "AVGO", "BND", "IEF", "IWM", "LABD", "LABU", "LLY", "QQQ", "SPY", "TECL", "TLT", "TQQQ", "UVXY" ] | 2026-10-11 |
| Alpha vs SPY, out-of-sample (out-of-sample) | 0.11 | 2026-10-11 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 1.33 | 2026-10-11 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.41 | 2026-10-11 |
| Remixes (copies) | 5 | 2026-10-11 | |
| Watchers | 5 | 2026-10-11 |
| Community review status | ACTIVE | 2026-10-11 |
| Backtest length | 2,859 | 2026-10-11 | |
| Out-of-sample length | 662 | 2026-10-11 | |
| Return, backtest period (annualized) (backtest) | 127.09% | 2026-10-11 | |
| Return, backtest period (cumulative) (backtest) | 1103k% | 2026-10-11 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 27.87% | 2026-10-11 | |
| Return, out-of-sample period (cumulative) (out-of-sample) | 90.94% | 2026-10-11 | |
| Return, trailing 1 day (out-of-sample) | -1.00% | 2026-10-11 | |
| Return, trailing 1 month (out-of-sample) | 7.80% | 2026-10-11 | |
| Return, trailing 1 week (out-of-sample) | 4.64% | 2026-10-11 | |
| Return, trailing 1 year (backtest) | 64.79% | 2026-10-11 | |
| Return, trailing 1 year (out-of-sample) | 64.74% | 2026-10-11 | |
| Return, trailing 2 weeks (out-of-sample) | 2.49% | 2026-10-11 | |
| Return, trailing 3 months (out-of-sample) | 23.95% | 2026-10-11 | |
| SPY annualized return over the backtest window (backtest) | 14.01% | 2026-10-11 |
| Calmar ratio, backtest period (backtest) | 1.98 | 2026-10-11 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 0.59 | 2026-10-11 | |
| Maximum drawdown, backtest period (backtest) | -64.16% | 2026-10-11 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -46.98% | 2026-10-11 | |
| Sharpe ratio, backtest period (backtest) | 1.72 | 2026-10-11 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 0.72 | 2026-10-11 | |
| Sortino ratio, backtest period (backtest) | 3.08 | 2026-10-11 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 1.22 | 2026-10-11 | |
| Standard deviation, backtest period (backtest) | 56.49% | 2026-10-11 | |
| Standard deviation, out-of-sample period (out-of-sample) | 51.35% | 2026-10-11 |
| Annualized turnover, backtest period (backtest) | 67.08 | 2026-10-11 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 65.05 | 2026-10-11 | |
| Daily win rate, backtest period (backtest) | 53.66% | 2026-10-11 | |
| Daily win rate, out-of-sample period (out-of-sample) | 50.60% | 2026-10-11 |
Composer Technologies · Composer
Composer Technologies · Composer
