Composer · investment strategy
by Composer Technologies · via Composer
A two-sleeve, rules-based strategy: in downtrends it tilts to commodities/defensive sectors; otherwise it tactically buys Nasdaq dips or hedges. It rapidly switches among TQQQ, SQQQ, UVXY, and TLT using “hot vs. oversold,” volatility, and trend signals.
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.
0.5% 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. : 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 ()
4 of 10 funds in its are : SPXL, SQQQ, 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.
Two equal parts.<br>1) If the S&P 500 (SPY) is below its 200‑day average, buy 2 of PDBC (commodities), XLV (health care), XLP (staples)—the two that lagged ~1 month. If above, use a “buy‑the‑dip Nasdaq” playbook that switches among TQQQ (3x Nasdaq‑100), SQQQ (3x inverse), or TLT (long Treasuries) based on short‑term moves.<br>2) The other half rotates among TQQQ/SQQQ/UVXY (VIX “fear” ETF)/TLT using RSI (0–100 speedometer), 1–5 day drops, volatility, and the 20‑day trend.
A two-sleeve, rules-based strategy: in downtrends it tilts to commodities/defensive sectors; otherwise it tactically buys Nasdaq dips or hedges. It rapidly switches among TQQQ, SQQQ, UVXY, and TLT using “hot vs. oversold,” volatility, and trend signals.
Out-of-sample, this two-sleeve strategy delivers ~49.7% annualized return vs SPY ~22.2%, with Calmar ~1.13 and Sharpe ~1.08—boosting upside with regime-driven Nasdaq/dip plays and defensive rotations.
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $6.7M | 2026-10-11 | |
| Backtest regulatory fees | $10k | 2026-10-11 | |
| Backtest slippage cost | $87k | 2026-10-11 |
| AI categories (Composer) | defensive rotation, leveraged etfs, mean reversion, multi-asset, tactical allocation, trend filter, volatility hedging | 2026-10-11 | |
| Asset classes / instruments | equities | 2026-10-11 |
| Logic complexity (node count) | 73 | 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) | 0.97 | 2026-10-11 | |
| Ticker universe (assets the logic can hold) | show[ "PDBC", "QQQ", "SPXL", "SPY", "SQQQ", "TLT", "TQQQ", "UVXY", "XLP", "XLV" ] | 2026-10-11 |
| Alpha vs SPY, out-of-sample (out-of-sample) | 0.05 | 2026-10-11 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 2.22 | 2026-10-11 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.68 | 2026-10-11 |
| Remixes (copies) | 629 | 2026-10-11 | |
| Watchers | 273 | 2026-10-11 |
| Community review status | ACTIVE | 2026-10-11 |
| Backtest length | 2,996 | 2026-10-11 | |
| Out-of-sample length | 858 | 2026-10-11 | |
| Return, backtest period (annualized) (backtest) | 72.92% | 2026-10-11 | |
| Return, backtest period (cumulative) (backtest) | 67k% | 2026-10-11 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 49.70% | 2026-10-11 | |
| Return, out-of-sample period (cumulative) (out-of-sample) | 295.62% | 2026-10-11 | |
| Return, trailing 1 day (out-of-sample) | 1.31% | 2026-10-11 | |
| Return, trailing 1 month (out-of-sample) | 13.82% | 2026-10-11 | |
| Return, trailing 1 week (out-of-sample) | 0.33% | 2026-10-11 | |
| Return, trailing 1 year (backtest) | -20.23% | 2026-10-11 | |
| Return, trailing 1 year (out-of-sample) | -20.24% | 2026-10-11 | |
| Return, trailing 2 weeks (out-of-sample) | 2.11% | 2026-10-11 | |
| Return, trailing 3 months (out-of-sample) | -8.53% | 2026-10-11 | |
| SPY annualized return over the backtest window (backtest) | 13.84% | 2026-10-11 |
| Calmar ratio, backtest period (backtest) | 1.23 | 2026-10-11 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 1.13 | 2026-10-11 | |
| Maximum drawdown, backtest period (backtest) | -59.05% | 2026-10-11 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -44.14% | 2026-10-11 | |
| Sharpe ratio, backtest period (backtest) | 1.37 | 2026-10-11 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 1.08 | 2026-10-11 | |
| Sortino ratio, backtest period (backtest) | 2.15 | 2026-10-11 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 1.53 | 2026-10-11 | |
| Standard deviation, backtest period (backtest) | 48.33% | 2026-10-11 | |
| Standard deviation, out-of-sample period (out-of-sample) | 48.11% | 2026-10-11 |
| Annualized turnover, backtest period (backtest) | 18.56 | 2026-10-11 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 16.20 | 2026-10-11 | |
| Daily win rate, backtest period (backtest) | 56.01% | 2026-10-11 | |
| Daily win rate, out-of-sample period (out-of-sample) | 55.71% | 2026-10-11 |
Composer Technologies · Composer
Composer Technologies · Composer
