Composer · investment strategy
by Composer Technologies · via Composer
Daily, it flips between bullish or inverse 3x sector ETFs using RSI “heat” of stocks and bonds, then buys either recent winners (trend) or recent losers (rebound) across small‑caps, financials, real estate, EM, and gold miners.
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.
3 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.
2.7% of weight in (IVV: 3.0%)
2 funds (SEC N-PORT, as of 2026-05-31)
Fewer than 70% of the holdings could be identified, so there’s no verdict. : 49% · 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 ()
15 of 18 funds in its are : DRN, DRV, DUST, EDC, EDZ, FAS, FAZ, HIBL, HIBS, NUGT, SRTY, TMF, TNA, TZA, URTY
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.
Rebalances daily; holds 2 leveraged ETFs. It gauges “heat” (RSI: 0–100 score of recent gains vs losses). If SPY (S&P 500) RSI>71 and TMF (3x long 20yr Treasuries) is strong, it trend‑follows: buys the 2 best 4‑day performers. Otherwise it mean‑reverts: buys the 2 worst. A bonds (IEF, 7–10yr Treasuries) vs small‑caps (IWM) RSI test chooses bullish or inverse ETFs. Universe: high‑beta US stocks, small‑caps, financials, real estate, EM, and gold miners (and their inverse).
Daily, it flips between bullish or inverse 3x sector ETFs using RSI “heat” of stocks and bonds, then buys either recent winners (trend) or recent losers (rebound) across small‑caps, financials, real estate, EM, and gold miners.
Out-of-sample return ~29.7% vs SPY ~20.7%, driven by tactical momentum/mean-reversion across high-beta sectors. With beta ~0.83 and Calmar ~0.61, it offers bigger upside but deeper drawdowns (~49%) than SPY.
(Created with Composer AI)
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $1.3M | 2026-10-11 | |
| Backtest regulatory fees | $10k | 2026-10-11 | |
| Backtest slippage cost | $78k | 2026-10-11 |
| AI categories (Composer) | daily rebalance, leveraged equity sector etfs, momentum and mean-reversion, risk-on/off via rsi of bonds vs small-caps, tactical multi-asset | 2026-10-11 | |
| Asset classes / instruments | equities | 2026-10-11 |
| Logic complexity (node count) | 74 | 2026-10-11 | |
| Rebalance frequency | daily | 2026-10-11 |
| Concentration (Herfindahl index, out-of-sample, as Composer reports it) | 0.50 | 2026-10-11 | |
| Ticker universe (assets the logic can hold) | show[ "DRN", "DRV", "DUST", "EDC", "EDZ", "FAS", "FAZ", "HIBL", "HIBS", "IEF", "IWM", "NUGT", "SPY", "SRTY", "TMF", "TNA", "TZA", "URTY" ] | 2026-10-11 |
| Alpha vs SPY, out-of-sample (out-of-sample) | 0.28 | 2026-10-11 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 0.83 | 2026-10-11 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.21 | 2026-10-11 |
| Remixes (copies) | 14 | 2026-10-11 | |
| Watchers | 4 | 2026-10-11 |
| Community review status | ACTIVE | 2026-10-11 |
| Backtest length | 1,734 | 2026-10-11 | |
| Out-of-sample length | 683 | 2026-10-11 | |
| Return, backtest period (annualized) (backtest) | 101.96% | 2026-10-11 | |
| Return, backtest period (cumulative) (backtest) | 13k% | 2026-10-11 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 29.66% | 2026-10-11 | |
| Return, out-of-sample period (cumulative) (out-of-sample) | 102.38% | 2026-10-11 | |
| Return, trailing 1 day (out-of-sample) | 3.49% | 2026-10-11 | |
| Return, trailing 1 month (out-of-sample) | 16.66% | 2026-10-11 | |
| Return, trailing 1 week (out-of-sample) | 9.95% | 2026-10-11 | |
| Return, trailing 1 year (backtest) | 21.36% | 2026-10-11 | |
| Return, trailing 1 year (out-of-sample) | 21.35% | 2026-10-11 | |
| Return, trailing 2 weeks (out-of-sample) | 14.23% | 2026-10-11 | |
| Return, trailing 3 months (out-of-sample) | -5.64% | 2026-10-11 | |
| SPY annualized return over the backtest window (backtest) | 16.03% | 2026-10-11 |
| Calmar ratio, backtest period (backtest) | 1.33 | 2026-10-11 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 0.61 | 2026-10-11 | |
| Maximum drawdown, backtest period (backtest) | -76.92% | 2026-10-11 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -48.61% | 2026-10-11 | |
| Sharpe ratio, backtest period (backtest) | 1.37 | 2026-10-11 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 0.73 | 2026-10-11 | |
| Sortino ratio, backtest period (backtest) | 2.07 | 2026-10-11 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 1.10 | 2026-10-11 | |
| Standard deviation, backtest period (backtest) | 69.05% | 2026-10-11 | |
| Standard deviation, out-of-sample period (out-of-sample) | 61.56% | 2026-10-11 |
| Annualized turnover, backtest period (backtest) | 120.86 | 2026-10-11 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 121.01 | 2026-10-11 | |
| Daily win rate, backtest period (backtest) | 53.92% | 2026-10-11 | |
| Daily win rate, out-of-sample period (out-of-sample) | 51.54% | 2026-10-11 |
Composer Technologies · Composer
Composer Technologies · Composer
