Composer · investment strategy
by Composer Technologies · via Composer
A daily, tech-first timing model: fade frothy markets with UVXY, buy 3x tech on deep dips, ride 2x Apple when it’s trending, and park in T‑bills when signals aren’t strong. Uses RSI (heat gauge) and moving averages to decide.
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.
2 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 2026-05-31)
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 ()
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 ()
5 of 10 funds in its are : AAPB, PSQ, 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.
Daily rules:<br>1) If QQQ or SPY look extremely hot (RSI>80; RSI is a 0–100 heat gauge), buy UVXY (tends to jump when market fear/volatility spikes).<br>2) Else if TQQQ is very cold (RSI<31), buy TECL (3x tech) for a rebound.<br>3) Else check mood: if bonds (IEF) beat short‑Nasdaq (PSQ), then: if Apple’s 8‑day avg > 20‑day, buy AAPB (2x Apple); else if Apple is very cold (RSI<24) buy TECL; else hold SHV (T‑bills). If not, only buy AAPB when Apple RSI<24; otherwise SHV.
A daily, tech-first timing model: fade frothy markets with UVXY, buy 3x tech on deep dips, ride 2x Apple when it’s trending, and park in T‑bills when signals aren’t strong. Uses RSI (heat gauge) and moving averages to decide.
Out-of-sample edge: ~60% annualized return vs ~20% for the S&P; Sharpe ~1.20; Calmar ~1.60. Higher drawdowns (~38%) but tech/Apple leadership with tactical hedges offers superior long-run growth.
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $85k | 2026-10-11 | |
| Backtest regulatory fees | $168 | 2026-10-11 | |
| Backtest slippage cost | $1,343 | 2026-10-11 |
| AI categories (Composer) | apple-focused, daily rebalance, leveraged etfs, momentum and mean reversion, tactical, tech-heavy, volatility hedge | 2026-10-11 | |
| Asset classes / instruments | equities | 2026-10-11 |
| Logic complexity (node count) | 33 | 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[ "AAPB", "AAPL", "IEF", "PSQ", "QQQ", "SHV", "SPY", "TECL", "TQQQ", "UVXY" ] | 2026-10-11 |
| Alpha vs SPY, out-of-sample (out-of-sample) | 0.25 | 2026-10-11 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 1.71 | 2026-10-11 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.56 | 2026-10-11 |
| Remixes (copies) | 40 | 2026-10-11 | |
| Watchers | 12 | 2026-10-11 |
| Community review status | ACTIVE | 2026-10-11 |
| Backtest length | 1,046 | 2026-10-11 | |
| Out-of-sample length | 607 | 2026-10-11 | |
| Return, backtest period (annualized) (backtest) | 67.17% | 2026-10-11 | |
| Return, backtest period (cumulative) (backtest) | 745.59% | 2026-10-11 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 60.31% | 2026-10-11 | |
| Return, out-of-sample period (cumulative) (out-of-sample) | 212.28% | 2026-10-11 | |
| Return, trailing 1 day (out-of-sample) | 0.04% | 2026-10-11 | |
| Return, trailing 1 month (out-of-sample) | -1.05% | 2026-10-11 | |
| Return, trailing 1 week (out-of-sample) | 0.09% | 2026-10-11 | |
| Return, trailing 1 year (backtest) | 36.80% | 2026-10-11 | |
| Return, trailing 1 year (out-of-sample) | 36.81% | 2026-10-11 | |
| Return, trailing 2 weeks (out-of-sample) | 0.18% | 2026-10-11 | |
| Return, trailing 3 months (out-of-sample) | 24.77% | 2026-10-11 | |
| SPY annualized return over the backtest window (backtest) | 18.18% | 2026-10-11 |
| Calmar ratio, backtest period (backtest) | 1.78 | 2026-10-11 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 1.60 | 2026-10-11 | |
| Maximum drawdown, backtest period (backtest) | -37.69% | 2026-10-11 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -37.69% | 2026-10-11 | |
| Sharpe ratio, backtest period (backtest) | 1.42 | 2026-10-11 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 1.20 | 2026-10-11 | |
| Sortino ratio, backtest period (backtest) | 2.44 | 2026-10-11 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 2.07 | 2026-10-11 | |
| Standard deviation, backtest period (backtest) | 42.39% | 2026-10-11 | |
| Standard deviation, out-of-sample period (out-of-sample) | 49.02% | 2026-10-11 |
| Annualized turnover, backtest period (backtest) | 35.66 | 2026-10-11 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 39.86 | 2026-10-11 | |
| Daily win rate, backtest period (backtest) | 66.16% | 2026-10-11 | |
| Daily win rate, out-of-sample period (out-of-sample) | 67.38% | 2026-10-11 |
Composer Technologies · Composer
Composer Technologies · Composer
