Composer · investment strategy
by Composer Technologies · via Composer
A simple buy‑the‑dip rotation: each day, pick whichever of QQQ, XLP, or VBF has dropped most recently (by a short‑term RSI score), put money there and hold cash for the rest. Adding QQQ can boost returns but makes drawdowns deeper vs. using only XLP+VBF.
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 2026-10-19
: 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.
0.5% of weight in (IVV: 3.0%)
1 fund (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. : 96% · 2026-10-19 ()
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% · 2026-10-19 ()
0 of 3 funds in its are
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 Technology label, from other sources first, strongest risk-adjusted return first.
Collective2
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.
Each day it looks at three funds—QQQ (big tech stocks), XLP (everyday‑goods companies), and VBF (investment‑grade bonds). It uses a quick 0–100 score of recent moves (RSI): low means it just fell. It buys the one with the lowest score (the recent “dip”) and keeps the rest in cash. Rebalanced daily.
A simple buy‑the‑dip rotation: each day, pick whichever of QQQ, XLP, or VBF has dropped most recently (by a short‑term RSI score), put money there and hold cash for the rest. Adding QQQ can boost returns but makes drawdowns deeper vs. using only XLP+VBF.
Out-of-sample returns beat the S&P: ~28%/yr vs ~23%, Sharpe ~1.95 vs ~1.78, drawdown ~6.4% vs ~8.9%, beta ~0.5. A disciplined, cash-buffered dip-buy rotation for higher upside with lower downside.
adding qqq to xlp vbf increases rr +2 and increases dd +20, if we have another dd like 1999 xlp vbf might be the smoother ride
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $1.1M | 2026-10-19 | |
| Backtest regulatory fees | $8,310 | 2026-10-19 | |
| Backtest slippage cost | $59k | 2026-10-19 |
| AI categories (Composer) | daily rotation, defensive + tech tilt, equities/bonds mix, rsi mean‑reversion | ||
| Asset classes / instruments | equities |
| Logic complexity (node count) | 6 | 2026-10-19 | |
| Rebalance frequency | daily |
| Concentration (Herfindahl index, out-of-sample, as Composer reports it) | 1 | 2026-10-19 | |
| Ticker universe (assets the logic can hold) | show[ "QQQ", "VBF", "XLP" ] | 2026-10-19 |
| Alpha vs SPY, out-of-sample (out-of-sample) | 0.15 | 2026-10-19 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 0.50 | 2026-10-19 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.46 | 2026-10-19 |
| Remixes (copies) | 6 | 2026-10-19 | |
| Watchers | 4 | 2026-10-19 |
| Community review status | ACTIVE | 2026-10-19 |
| Backtest length | 6,935 | 2026-10-19 | |
| Out-of-sample length | 343 | 2026-10-19 | |
| Return, backtest period (annualized) (backtest) | 18.50% | 2026-10-19 | |
| Return, backtest period (cumulative) (backtest) | 11k% | 2026-10-19 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 28.05% | ||
| Return, out-of-sample period (cumulative) (out-of-sample) | 39.32% | ||
| Return, trailing 1 day (out-of-sample) | -2.50% | 2026-10-19 | |
| Return, trailing 1 month (out-of-sample) | 0.92% | ||
| Return, trailing 1 week (out-of-sample) | -0.58% | 2026-10-19 | |
| Return, trailing 1 year (backtest) | 28.02% | 2026-10-19 | |
| Return, trailing 1 year (out-of-sample) | 34.47% | ||
| Return, trailing 2 weeks (out-of-sample) | 0.13% | 2026-10-19 | |
| Return, trailing 3 months (out-of-sample) | 5.87% | ||
| SPY annualized return over the backtest window (backtest) | 8.62% | 2026-10-19 |
| Calmar ratio, backtest period (backtest) | 0.38 | 2026-10-19 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 4.35 | ||
| Maximum drawdown, backtest period (backtest) | -49.26% | 2026-10-19 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -6.45% | ||
| Sharpe ratio, backtest period (backtest) | 0.91 | 2026-10-19 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 1.95 | ||
| Sortino ratio, backtest period (backtest) | 1.39 | 2026-10-19 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 3.09 | 2026-10-19 | |
| Standard deviation, backtest period (backtest) | 20.96% | 2026-10-19 | |
| Standard deviation, out-of-sample period (out-of-sample) | 13.14% |
| Annualized turnover, backtest period (backtest) | 57.63 | 2026-10-19 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 62.45 | 2026-10-19 | |
| Daily win rate, backtest period (backtest) | 52.29% | 2026-10-19 | |
| Daily win rate, out-of-sample period (out-of-sample) | 51.31% | 2026-10-19 |
Composer Technologies · Composer
Composer Technologies · Composer
