Composer · investment strategy
by Composer Technologies · via Composer
A fast, rule‑based, daily strategy that rides strong uptrends in tech/semis/biotech with leveraged ETFs, flips short or into volatility when markets look overheated or weak, and hides in cash when fear spikes. Uses bond and inflation signals as risk “traffic lights.”
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.
0.1% of weight in (IVV: 3.0%)
4 funds (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. : 79% · 2026-10-11 ()
39.1% 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 ()
46 of 100 funds in its are : CURE, DOG, DPST, DRN, DRV, EDC, EDZ, ERX, ERY, EUO, FAS, FAZ, JDST, LABD, LABU, MVV, NAIL, PSQ, QID, QLD, RWM, SH, SOXL, SOXS, SPXL, SPXS, SPXU, SQQQ, SRTY, TBF, TECL, TECS, TMF, TMV, TNA, TQQQ, TYO, UCO, UDOW, UPRO, URTY, USD, UVXY, YANG, YCS, YINN
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 Macro signals 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 reads market mood with simple gauges: RSI (a 0–100 speedometer of recent moves; high=hot, low=cold), 200‑day trend, and short‑term returns.<br>When fear is high it parks in T‑Bills (BIL). If trends are up or prices look washed‑out, it buys aggressive tech/semis/biotech funds (TQQQ, SOXL, TECL, LABU). If overheated or falling, it flips to inverse funds (SQQQ, SOXS, SPXS) or volatility (UVXY/VIXY). It also checks bond/inflation signals (BND/AGG, TLT/TMF, RINF). Rebalanced daily; often picks the recent top performer. Note: uses 3x/short ETFs—very volatile, short‑term tools.
A fast, rule‑based, daily strategy that rides strong uptrends in tech/semis/biotech with leveraged ETFs, flips short or into volatility when markets look overheated or weak, and hides in cash when fear spikes. Uses bond and inflation signals as risk “traffic lights.”
Out-of-sample edge: 28.35% annualized return vs 19.51% for the S&P, aided by momentum signals and macro hedges. Higher growth potential, but larger drawdowns; suited for risk-tolerant alpha seekers.
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $544.0M | 2026-10-11 | |
| Backtest regulatory fees | $1.7M | 2026-10-11 | |
| Backtest slippage cost | $16.7M | 2026-10-11 |
| AI categories (Composer) | daily rebalanced, leveraged/inverse etfs, mean reversion, momentum + trend, tactical allocation, volatility hedging | 2026-10-11 | |
| Asset classes / instruments | equities | 2026-10-11 |
| Logic complexity (node count) | 1,467 | 2026-10-11 | |
| Rebalance frequency | daily | 2026-10-11 |
| Concentration (Herfindahl index, out-of-sample, as Composer reports it) | 0.26 | 2026-10-11 | |
| Ticker universe (assets the logic can hold) | show[ "AAPL", "ADBE", "AGG", "AMD", "AMZN", "BA", "BIL", "BND", "BSV", "C", "CSX", "CURE", "DBC", "DOG", "DPST", "DRN", "DRV", "EDC", "EDZ", "EEM", "EFA", "EPI", "ERX", "ERY", "EUO", "EWZ", "FAS", "FAZ", "GE", "GLD", "GOOG", "IBM", "IEF", "IEI", "INTC", "IWM", "IYR", "JDST", "JPM", "LABD", "LABU", "LLY", "META", "MSFT", "MVV", "NAIL", "NFLX", "NVDA", "PSQ", "PUI", "QID", "QLD", "QQQ", "RINF", "RWM", "SH", "SHY", "SMH", "SOXL", "SOXS", "SOXX", "SPHB", "SPLV", "SPTL", "SPXL", "SPXS", "SPXU", "SPY", "SQQQ", "SRTY", "STX", "TBF", "TECL", "TECS", "TLH", "TLT", "TMF", "TMV", "TNA", "TQQQ", "TSLA", "TSM", "TYO", "UCO", "UDOW", "UPRO", "UPS", "URTY", "USD", "USRT", "UUP", "UVXY", "VIXM", "VIXY", "WDC", "WFC", "XLK", "YANG", "YCS", "YINN" ] | 2026-10-11 |
| Alpha vs SPY, out-of-sample (out-of-sample) | 0.14 | 2026-10-11 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 1.15 | 2026-10-11 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.39 | 2026-10-11 |
| Remixes (copies) | 25 | 2026-10-11 | |
| Watchers | 12 | 2026-10-11 |
| Community review status | ACTIVE | 2026-10-11 |
| Backtest length | 2,775 | 2026-10-11 | |
| Out-of-sample length | 591 | 2026-10-11 | |
| Return, backtest period (annualized) (backtest) | 169.09% | 2026-10-11 | |
| Return, backtest period (cumulative) (backtest) | 5440k% | 2026-10-11 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 28.35% | 2026-10-11 | |
| Return, out-of-sample period (cumulative) (out-of-sample) | 79.74% | 2026-10-11 | |
| Return, trailing 1 day (out-of-sample) | 0.39% | 2026-10-11 | |
| Return, trailing 1 month (out-of-sample) | -0.70% | 2026-10-11 | |
| Return, trailing 1 week (out-of-sample) | 2.03% | 2026-10-11 | |
| Return, trailing 1 year (backtest) | 91.51% | 2026-10-11 | |
| Return, trailing 1 year (out-of-sample) | 91.42% | 2026-10-11 | |
| Return, trailing 2 weeks (out-of-sample) | 0.87% | 2026-10-11 | |
| Return, trailing 3 months (out-of-sample) | 2.25% | 2026-10-11 | |
| SPY annualized return over the backtest window (backtest) | 15.37% | 2026-10-11 |
| Calmar ratio, backtest period (backtest) | 3.22 | 2026-10-11 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 0.54 | 2026-10-11 | |
| Maximum drawdown, backtest period (backtest) | -52.46% | 2026-10-11 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -52.46% | 2026-10-11 | |
| Sharpe ratio, backtest period (backtest) | 2.64 | 2026-10-11 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 0.76 | 2026-10-11 | |
| Sortino ratio, backtest period (backtest) | 4.48 | 2026-10-11 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 1.13 | 2026-10-11 | |
| Standard deviation, backtest period (backtest) | 40.64% | 2026-10-11 | |
| Standard deviation, out-of-sample period (out-of-sample) | 47.63% | 2026-10-11 |
| Annualized turnover, backtest period (backtest) | 71.38 | 2026-10-11 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 75.67 | 2026-10-11 | |
| Daily win rate, backtest period (backtest) | 57.59% | 2026-10-11 | |
| Daily win rate, out-of-sample period (out-of-sample) | 49.92% | 2026-10-11 |
Composer Technologies · Composer
Composer Technologies · Composer
