Composer · investment strategy
by Composer Technologies · via Composer
Daily, rules-driven swing strategy that mostly rides or shorts the Nasdaq with 3x ETFs. Overbought → buys volatility (VIXY). Oversold → buys 3x tech (TECL). Otherwise picks up to three risk-on/off slices using bond and growth-vs-defensive gauges.
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 2026-10-19
: 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.
0.1% of weight in (IVV: 3.0%)
2 funds (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% · 2026-10-19 ()
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% · 2026-10-19 ()
5 of 15 funds in its are : PSQ, QID, SH, TECL, TQQQ
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.
Each day it checks for extremes first. If QQQ or SPY is very “hot,” it buys VIXY (a volatility fund) expecting a pullback. If QQQ is very “cold,” it buys TECL (3x tech) for a rebound. Otherwise it runs 5 risk-on/off tests (bonds vs bear funds, bonds vs cash, growth vs utilities). It then splits money across the 2 most active and the 1 best‑trending tests: risk-on → TQQQ (3x Nasdaq); risk-off → PSQ (−1x) or QID (−2x) based on SPY vs its 200‑day line.
Daily, rules-driven swing strategy that mostly rides or shorts the Nasdaq with 3x ETFs. Overbought → buys volatility (VIXY). Oversold → buys 3x tech (TECL). Otherwise picks up to three risk-on/off slices using bond and growth-vs-defensive gauges.
Out-of-sample annualized return 23.14% vs SPY ~17.5%, signaling stronger upside capture; but max drawdown ~48% vs ~19%, with a lower out-of-sample Sharpe (~0.65 vs ~1.07). Best for growth-focused investors who can tolerate volatility for tech-driven upside.
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $1.3B | 2026-10-19 | |
| Backtest regulatory fees | $2.5M | 2026-10-19 | |
| Backtest slippage cost | $23.8M | 2026-10-19 |
| AI categories (Composer) | daily rebalance, leveraged etfs, nasdaq/tech focus, risk-on/off switching, tactical allocation, trend + mean reversion | ||
| Asset classes / instruments | equities |
| Logic complexity (node count) | 131 | 2026-10-19 | |
| Rebalance frequency | daily |
| Concentration (Herfindahl index, out-of-sample, as Composer reports it) | 0.84 | 2026-10-19 | |
| Ticker universe (assets the logic can hold) | show[ "AGG", "BIL", "BND", "FDN", "IEF", "PSQ", "QID", "QQQ", "SH", "SPY", "TECL", "TLT", "TQQQ", "VIXY", "XLU" ] | 2026-10-19 |
| Alpha vs SPY, out-of-sample (out-of-sample) | -0.14 | 2026-10-19 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 2.55 | 2026-10-19 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.76 | 2026-10-19 |
| Remixes (copies) | 17 | 2026-10-19 | |
| Watchers | 6 | 2026-10-19 |
| Community review status | ACTIVE | 2026-10-19 |
| Backtest length | 3,970 | 2026-10-19 | |
| Out-of-sample length | 572 | 2026-10-19 | |
| Return, backtest period (annualized) (backtest) | 110.72% | 2026-10-19 | |
| Return, backtest period (cumulative) (backtest) | 12616k% | 2026-10-19 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 23.14% | ||
| Return, out-of-sample period (cumulative) (out-of-sample) | 59.74% | ||
| Return, trailing 1 day (out-of-sample) | -7.62% | 2026-10-19 | |
| Return, trailing 1 month (out-of-sample) | 3.56% | ||
| Return, trailing 1 week (out-of-sample) | -8.77% | 2026-10-19 | |
| Return, trailing 1 year (backtest) | 23.57% | 2026-10-19 | |
| Return, trailing 1 year (out-of-sample) | 27.86% | ||
| Return, trailing 2 weeks (out-of-sample) | -11.31% | 2026-10-19 | |
| Return, trailing 3 months (out-of-sample) | 7.21% | ||
| SPY annualized return over the backtest window (backtest) | 14.06% | 2026-10-19 |
| Calmar ratio, backtest period (backtest) | 2.27 | 2026-10-19 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 0.48 | ||
| Maximum drawdown, backtest period (backtest) | -48.83% | 2026-10-19 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -48.01% | ||
| Sharpe ratio, backtest period (backtest) | 1.73 | 2026-10-19 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 0.65 | ||
| Sortino ratio, backtest period (backtest) | 2.82 | 2026-10-19 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 0.80 | 2026-10-19 | |
| Standard deviation, backtest period (backtest) | 50.41% | 2026-10-19 | |
| Standard deviation, out-of-sample period (out-of-sample) | 54.79% |
| Annualized turnover, backtest period (backtest) | 34.21 | 2026-10-19 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 42.73 | 2026-10-19 | |
| Daily win rate, backtest period (backtest) | 55.57% | 2026-10-19 | |
| Daily win rate, out-of-sample period (out-of-sample) | 53.50% | 2026-10-19 |
Composer Technologies · Composer
Composer Technologies · Composer
