Composer · investment strategy
by Composer Technologies · via Composer
A daily, one‑ETF sector rotator: buys the month’s strongest sector in normal times, buys sharp dips when a sector is washed out, and flips into a volatility hedge (UVXY) when sectors look overheated. Uses leveraged funds; highly tactical and risky.
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.
0.0% of weight in (IVV: 3.0%)
1 fund (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. : 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 ()
13 of 26 funds in its are : CURE, DRN, DUSL, ERX, FAS, LTL, SVXY, TECL, UGE, UTSL, UVXY, UYM, WANT
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.
Plain English: Each day it scans the 11 big US stock sectors via ETFs (e.g., XLK=technology, XLE=energy, XLF=financials). If any sector looks overheated—using a 10‑day “heat gauge” (RSI) above 80—it moves to UVXY, a fund that often jumps when markets suddenly drop. If a sector looks washed‑out (RSI below 30), it bets on a short‑term rebound in that sector using either the regular ETF or a leveraged version (and sometimes SVXY, which benefits when fear fades). Otherwise it buys the sector that led over the past month and, within that sector, chooses the fund showing the stronger longer‑term trend. It holds one ETF at a time and rechecks daily. Leveraged and volatility funds are very risky and meant for short‑term use.
A daily, one‑ETF sector rotator: buys the month’s strongest sector in normal times, buys sharp dips when a sector is washed out, and flips into a volatility hedge (UVXY) when sectors look overheated. Uses leveraged funds; highly tactical and risky.
Out-of-sample edge: ~95% annualized return, Sharpe ~1.44, Calmar ~3.28, alpha ~0.70%, beta ~0.75 vs S&P. A tactical sector-rotation with volatility hedges aims for higher upside and diversification than the S&P, with controlled risk.
Composite Momentum Score (CMS) framework. It evaluates sectors based on multi-horizon momentum signals (short-, medium-, and long-term returns) and ranks them according to updated research. The sectors are ordered explicitly as: XLC, XLY, XLK, XLU, XLI, XLP, XLV, XLB, XLRE, XLE. If any sector becomes overbought (RSI > 80), exposure shifts defensively into UVXY. If a sector is oversold (RSI < 30), the model tilts into leveraged or inverse ETFs to capture mean-reversion opportunities. Otherwise, the rotation logic selects the top-ranked sector(s) by CMS, maintaining diversification but hedging downside risk through volatility products.
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $3.6M | 2026-10-11 | |
| Backtest regulatory fees | $11k | 2026-10-11 | |
| Backtest slippage cost | $93k | 2026-10-11 |
| AI categories (Composer) | concentrated, daily rebalance, leveraged etfs, momentum + mean reversion, sector rotation, us sectors, volatility hedge (uvxy/svxy) | 2026-10-11 | |
| Asset classes / instruments | equities | 2026-10-11 |
| Logic complexity (node count) | 166 | 2026-10-11 | |
| Rebalance frequency | daily | 2026-10-11 |
| Concentration (Herfindahl index, out-of-sample, as Composer reports it) | 1.00 | 2026-10-11 | |
| Ticker universe (assets the logic can hold) | show[ "CURE", "DRN", "DUSL", "ERX", "FAS", "LTL", "SVXY", "TECL", "UGE", "UTSL", "UVXY", "UYM", "VOX", "WANT", "XLB", "XLC", "XLE", "XLF", "XLI", "XLK", "XLP", "XLRE", "XLU", "XLV", "XLY", "XTL" ] | 2026-10-11 |
| Alpha vs SPY, out-of-sample (out-of-sample) | 0.70 | 2026-10-11 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 0.75 | 2026-10-11 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.16 | 2026-10-11 |
| Remixes (copies) | 14 | 2026-10-11 | |
| Watchers | 9 | 2026-10-11 |
| Community review status | ACTIVE | 2026-10-11 |
| Backtest length | 1,744 | 2026-10-11 | |
| Out-of-sample length | 274 | 2026-10-11 | |
| Return, backtest period (annualized) (backtest) | 133.90% | 2026-10-11 | |
| Return, backtest period (cumulative) (backtest) | 36k% | 2026-10-11 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 95.01% | 2026-10-11 | |
| Return, out-of-sample period (cumulative) (out-of-sample) | 107.27% | 2026-10-11 | |
| Return, trailing 1 day (out-of-sample) | 1.52% | 2026-10-11 | |
| Return, trailing 1 month (out-of-sample) | 2.47% | 2026-10-11 | |
| Return, trailing 1 week (out-of-sample) | 1.50% | 2026-10-11 | |
| Return, trailing 1 year (backtest) | 88.57% | 2026-10-11 | |
| Return, trailing 1 year (out-of-sample) | 88.56% | 2026-10-11 | |
| Return, trailing 2 weeks (out-of-sample) | 1.32% | 2026-10-11 | |
| Return, trailing 3 months (out-of-sample) | 28.65% | 2026-10-11 | |
| SPY annualized return over the backtest window (backtest) | 16.21% | 2026-10-11 |
| Calmar ratio, backtest period (backtest) | 2.53 | 2026-10-11 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 3.28 | 2026-10-11 | |
| Maximum drawdown, backtest period (backtest) | -52.99% | 2026-10-11 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -29.01% | 2026-10-11 | |
| Sharpe ratio, backtest period (backtest) | 1.70 | 2026-10-11 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 1.44 | 2026-10-11 | |
| Sortino ratio, backtest period (backtest) | 2.88 | 2026-10-11 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 2.22 | 2026-10-11 | |
| Standard deviation, backtest period (backtest) | 60.48% | 2026-10-11 | |
| Standard deviation, out-of-sample period (out-of-sample) | 58.54% | 2026-10-11 |
| Annualized turnover, backtest period (backtest) | 92.19 | 2026-10-11 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 100.25 | 2026-10-11 | |
| Daily win rate, backtest period (backtest) | 55.39% | 2026-10-11 | |
| Daily win rate, out-of-sample period (out-of-sample) | 55.84% | 2026-10-11 |
Composer Technologies · Composer
Composer Technologies · Composer