Composer · investment strategy
by Composer Technologies · via Composer
A fast, tech‑heavy strategy. Three equal slices pick either an Apple or Tesla module (the recent loser, most oversold, or most volatile). Each module then either hedges with UVXY, buys a tech rebound (TECL), or goes long/short Apple or Tesla.
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. : 100% · 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 ()
8 of 11 funds in its are : AAPB, AAPD, PSQ, TECL, TQQQ, TSLL, TSLS, 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.
It splits your money into 3 equal slices. Each slice chooses an Apple path or a Tesla path using short‑term stats (the recent loser, the most “oversold,” and the most volatile). Inside each path: if the market looks overheated (RSI = a speedometer of recent gains vs losses), it buys UVXY (fear gauge). If tech looks washed out, it buys TECL (3x tech). Otherwise it goes long or short Apple (AAPB/AAPD) or Tesla (TSLL/TSLS) based on bonds (IEF) vs a short‑Nasdaq fund (PSQ).
A fast, tech‑heavy strategy. Three equal slices pick either an Apple or Tesla module (the recent loser, most oversold, or most volatile). Each module then either hedges with UVXY, buys a tech rebound (TECL), or goes long/short Apple or Tesla.
Tech-forward, rule-based strategy: 3 equal slices using contrarian/vol signals with hedges (UVXY/TECL). OOS annualized return ≈18% with risk controls, offering tech-led upside and diversification that complements the S&P 500.
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $116k | 2026-10-11 | |
| Backtest regulatory fees | $578 | 2026-10-11 | |
| Backtest slippage cost | $3,806 | 2026-10-11 |
| AI categories (Composer) | leveraged etfs, long/short, mean reversion, momentum, single-stock etfs, tactical allocation, tech-focused, volatility hedge | 2026-10-11 | |
| Asset classes / instruments | equities | 2026-10-11 |
| Logic complexity (node count) | 127 | 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) | 0.80 | 2026-10-11 | |
| Ticker universe (assets the logic can hold) | show[ "AAPB", "AAPD", "IEF", "PSQ", "QQQ", "SPY", "TECL", "TQQQ", "TSLL", "TSLS", "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) | 1.80 | 2026-10-11 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.34 | 2026-10-11 |
| Remixes (copies) | 13 | 2026-10-11 | |
| Watchers | 9 | 2026-10-11 |
| Community review status | ACTIVE | 2026-10-11 |
| Backtest length | 1,025 | 2026-10-11 | |
| Out-of-sample length | 766 | 2026-10-11 | |
| Return, backtest period (annualized) (backtest) | 82.54% | 2026-10-11 | |
| Return, backtest period (cumulative) (backtest) | 1059% | 2026-10-11 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 18.34% | 2026-10-11 | |
| Return, out-of-sample period (cumulative) (out-of-sample) | 66.96% | 2026-10-11 | |
| Return, trailing 1 day (out-of-sample) | 2.09% | 2026-10-11 | |
| Return, trailing 1 month (out-of-sample) | 4.99% | 2026-10-11 | |
| Return, trailing 1 week (out-of-sample) | 0.60% | 2026-10-11 | |
| Return, trailing 1 year (backtest) | 18.64% | 2026-10-11 | |
| Return, trailing 1 year (out-of-sample) | 18.64% | 2026-10-11 | |
| Return, trailing 2 weeks (out-of-sample) | 2.14% | 2026-10-11 | |
| Return, trailing 3 months (out-of-sample) | 37.66% | 2026-10-11 | |
| SPY annualized return over the backtest window (backtest) | 19.37% | 2026-10-11 |
| Calmar ratio, backtest period (backtest) | 1.21 | 2026-10-11 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 0.27 | 2026-10-11 | |
| Maximum drawdown, backtest period (backtest) | -68.44% | 2026-10-11 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -68.44% | 2026-10-11 | |
| Sharpe ratio, backtest period (backtest) | 1.17 | 2026-10-11 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 0.61 | 2026-10-11 | |
| Sortino ratio, backtest period (backtest) | 1.80 | 2026-10-11 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 0.92 | 2026-10-11 | |
| Standard deviation, backtest period (backtest) | 75.53% | 2026-10-11 | |
| Standard deviation, out-of-sample period (out-of-sample) | 81.20% | 2026-10-11 |
| Annualized turnover, backtest period (backtest) | 61.31 | 2026-10-11 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 61.81 | 2026-10-11 | |
| Daily win rate, backtest period (backtest) | 52.78% | 2026-10-11 | |
| Daily win rate, out-of-sample period (out-of-sample) | 50.78% | 2026-10-11 |
Composer Technologies · Composer
Composer Technologies · Composer
