Composer · investment strategy
by Composer Technologies · via Composer
A tactical, one‑ETF‑at‑a‑time strategy: use TQQQ’s short‑term heat to spot extremes, hedge with VIXM when too hot, buy 3× tech (TECL) when too cold, move to TLT if SPY weak, otherwise hold the strongest of SPY/QQQ/VTI.
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 2026-10-11
: 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) · : 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% · 2026-10-11 ()
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 ()
2 of 7 funds in its are : 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.
It takes the market’s short‑term “temperature” using a 10‑day RSI (a 0–100 score of how hot/cold recent moves are) on TQQQ, a 3× tech‑heavy Nasdaq fund used only as a thermometer.<br>- If very hot (>75): step into VIXM (a volatility fund that tends to jump when markets panic).<br>- If very cold (<35): buy TECL (a 3× tech fund) for a rebound bet.<br>- If the broad market (SPY) looks weak (RSI<45): hide in TLT (long‑term Treasuries).<br>- Otherwise: own whichever of SPY, QQQ, or VTI has the best recent 20‑day performance.<br>Note: 3× funds can swing a lot.
A tactical, one‑ETF‑at‑a‑time strategy: use TQQQ’s short‑term heat to spot extremes, hedge with VIXM when too hot, buy 3× tech (TECL) when too cold, move to TLT if SPY weak, otherwise hold the strongest of SPY/QQQ/VTI.
Goldstar targets outsized upside with a disciplined rotation, delivering ~59% annualized return out-of-sample versus the S&P's ~28%, plus a Calmar ~2.82. Note higher volatility and ~21% max drawdown—but better long-run return per unit risk.
(Created with Composer AI)
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $1.2M | 2026-10-11 | |
| Backtest regulatory fees | $5,842 | 2026-10-11 | |
| Backtest slippage cost | $51k | 2026-10-11 |
| AI categories (Composer) | leveraged etfs, momentum and mean reversion, risk-on/risk-off, tactical etf rotation, volatility hedge | 2026-10-11 | |
| Asset classes / instruments | equities | 2026-10-11 |
| Logic complexity (node count) | 15 | 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) | 1 | 2026-10-11 | |
| Ticker universe (assets the logic can hold) | show[ "QQQ", "SPY", "TECL", "TLT", "TQQQ", "VIXM", "VTI" ] | 2026-10-11 |
| Alpha vs SPY, out-of-sample (out-of-sample) | 0.11 | 2026-10-11 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 1.55 | 2026-10-11 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.64 | 2026-10-11 |
| Remixes (copies) | 66 | 2026-10-11 | |
| Watchers | 36 | 2026-10-11 |
| Community review status | ACTIVE | 2026-10-11 |
| Backtest length | 3,964 | 2026-10-11 | |
| Out-of-sample length | 365 | 2026-10-11 | |
| Return, backtest period (annualized) (backtest) | 35.35% | 2026-10-11 | |
| Return, backtest period (cumulative) (backtest) | 12k% | 2026-10-11 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 59.33% | 2026-10-11 | |
| Return, out-of-sample period (cumulative) (out-of-sample) | 96.70% | 2026-10-11 | |
| Return, trailing 1 day (out-of-sample) | 0.49% | 2026-10-11 | |
| Return, trailing 1 month (out-of-sample) | 4.35% | 2026-10-11 | |
| Return, trailing 1 week (out-of-sample) | 0.23% | 2026-10-11 | |
| Return, trailing 1 year (backtest) | 44.52% | 2026-10-11 | |
| Return, trailing 1 year (out-of-sample) | 44.51% | 2026-10-11 | |
| Return, trailing 2 weeks (out-of-sample) | 0.91% | 2026-10-11 | |
| Return, trailing 3 months (out-of-sample) | -0.02% | 2026-10-11 | |
| SPY annualized return over the backtest window (backtest) | 14.20% | 2026-10-11 |
| Calmar ratio, backtest period (backtest) | 0.89 | 2026-10-11 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 2.82 | 2026-10-11 | |
| Maximum drawdown, backtest period (backtest) | -39.64% | 2026-10-11 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -21.05% | 2026-10-11 | |
| Sharpe ratio, backtest period (backtest) | 1.01 | 2026-10-11 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 1.70 | 2026-10-11 | |
| Sortino ratio, backtest period (backtest) | 1.67 | 2026-10-11 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 3.35 | 2026-10-11 | |
| Standard deviation, backtest period (backtest) | 36.43% | 2026-10-11 | |
| Standard deviation, out-of-sample period (out-of-sample) | 30.03% | 2026-10-11 |
| Annualized turnover, backtest period (backtest) | 75.84 | 2026-10-11 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 68.35 | 2026-10-11 | |
| Daily win rate, backtest period (backtest) | 54.31% | 2026-10-11 | |
| Daily win rate, out-of-sample period (out-of-sample) | 53.97% | 2026-10-11 |
Composer Technologies · Composer
Composer Technologies · Composer
