Composer · investment strategy
by Composer Technologies · via Composer
Aggressive, tactical strategy that rides tech uptrends with 3x ETFs and flips to hedges (inverse, volatility, or gold) when momentum fades or danger spikes.
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.
0.0% 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% · 2026-10-19 ()
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 ()
8 of 22 funds in its are : PSQ, QID, SH, SQQQ, TECL, TQQQ, UPRO, 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’s a rules-based, high‑octane trend rider. First it checks market “heat” with RSI (a 0–100 gauge of how strong recent up vs down days are). If the S&P 500 looks hot and above its long‑term average, it mostly rides tech using 3x funds (TQQQ: Nasdaq‑100, TECL: tech, UPRO: S&P 500). If heat cools or drops fast, it switches to hedges: inverse Nasdaq (PSQ/SQQQ), short bursts of volatility (UVXY/VIXY), or gold (GLD). It also compares bonds (BND/AGG/IEF/TLT) vs cash (BIL) and utilities vs tech to confirm risk‑on/off.
Aggressive, tactical strategy that rides tech uptrends with 3x ETFs and flips to hedges (inverse, volatility, or gold) when momentum fades or danger spikes.
Out-of-sample edge: 22.96% annualized return vs 17.50% for the S&P, achieved by riding tech-led gains with 3x ETFs and disciplined hedges. Higher upside, with risk controls; note deeper drawdowns possible in extreme markets.
Made by: Guybogles (Discord username: aly9923); Please feel free to change the 60d SPY RSI check to whatever you feel comfortable with (default is QQQ).
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $20566.5B | 2026-10-19 | |
| Backtest regulatory fees | $6.2B | 2026-10-19 | |
| Backtest slippage cost | $7.0B | 2026-10-19 |
| AI categories (Composer) | high risk, leveraged etfs, momentum, regime switching, tactical allocation, trend-following, volatility hedge | ||
| Asset classes / instruments | equities |
| Logic complexity (node count) | 573 | 2026-10-19 | |
| Rebalance corridor width | 5.00% | ||
| Rebalance frequency | none |
| Concentration (Herfindahl index, out-of-sample, as Composer reports it) | 0.98 | 2026-10-19 | |
| Ticker universe (assets the logic can hold) | show[ "AGG", "BIL", "BND", "CORP", "FDN", "GLD", "IEF", "PSQ", "QID", "QQQ", "SH", "SPY", "SQQQ", "STIP", "TECL", "TLT", "TQQQ", "UPRO", "UVXY", "VIXY", "VPU", "XLU" ] | 2026-10-19 |
| Alpha vs SPY, out-of-sample (out-of-sample) | 0.05 | 2026-10-19 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 2.30 | 2026-10-19 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.58 | 2026-10-19 |
| Remixes (copies) | 12 | 2026-10-19 | |
| Watchers | 6 | 2026-10-19 |
| Community review status | ACTIVE | 2026-10-19 |
| Backtest length | 3,781 | 2026-10-19 | |
| Out-of-sample length | 572 | 2026-10-19 | |
| Return, backtest period (annualized) (backtest) | 317.40% | 2026-10-19 | |
| Return, backtest period (cumulative) (backtest) | 205664899k% | 2026-10-19 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 22.96% | ||
| Return, out-of-sample period (cumulative) (out-of-sample) | 59.21% | ||
| Return, trailing 1 day (out-of-sample) | -7.62% | 2026-10-19 | |
| Return, trailing 1 month (out-of-sample) | -16.46% | ||
| Return, trailing 1 week (out-of-sample) | 2.75% | 2026-10-19 | |
| Return, trailing 1 year (backtest) | 17.16% | 2026-10-19 | |
| Return, trailing 1 year (out-of-sample) | 12.24% | ||
| Return, trailing 2 weeks (out-of-sample) | 7.14% | 2026-10-19 | |
| Return, trailing 3 months (out-of-sample) | -19.07% | ||
| SPY annualized return over the backtest window (backtest) | 15.65% | 2026-10-19 |
| Calmar ratio, backtest period (backtest) | 6.76 | 2026-10-19 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 0.48 | ||
| Maximum drawdown, backtest period (backtest) | -46.96% | 2026-10-19 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -47.38% | ||
| Sharpe ratio, backtest period (backtest) | 2.68 | 2026-10-19 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 0.64 | ||
| Sortino ratio, backtest period (backtest) | 5.11 | 2026-10-19 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 1.00 | 2026-10-19 | |
| Standard deviation, backtest period (backtest) | 59.84% | 2026-10-19 | |
| Standard deviation, out-of-sample period (out-of-sample) | 64.51% |
| Annualized turnover, backtest period (backtest) | 66.50 | 2026-10-19 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 62.05 | 2026-10-19 | |
| Daily win rate, backtest period (backtest) | 57.60% | 2026-10-19 | |
| Daily win rate, out-of-sample period (out-of-sample) | 54.72% | 2026-10-19 |
Composer Technologies · Composer
Composer Technologies · Composer
