Composer · investment strategy
by Composer Technologies · via Composer
A daily, rules‑based, risk‑on/risk‑off meta‑strategy. It uses trend, rates, sector strength, and volatility cues to pick between leveraged stock funds and safe havens, then funds the two sub‑strategies with the best recent results. Very high risk.
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.
4 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.
17.2% of weight in (IVV: 3.0%)
4 funds (SEC N-PORT, as of 2026-06-30)
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 ()
16.8% 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 ()
11 of 75 funds in its are : SPXL, SPXS, TBT, TMF, TMV, TQQQ, TYD, UDOW, UGL, 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 Macro signals 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 asks a few questions: Is the stock market trending up? Are bonds doing better than cash? Is tech beating utilities? Did volatility just spike?<br>Based on the answers, it either buys aggressive stock funds (often 3x S&P/Nasdaq/Dow) or plays defense with Treasuries, cash, gold, commodities, USD, or utilities.<br>Then it compares these mini‑playbooks and splits money into the two that have worked best lately.
A daily, rules‑based, risk‑on/risk‑off meta‑strategy. It uses trend, rates, sector strength, and volatility cues to pick between leveraged stock funds and safe havens, then funds the two sub‑strategies with the best recent results. Very high risk.
An out-of-sample, rules-based meta strategy that diversifies away from pure S&P exposure. With beta ~0.73, it offers market diversification, solid risk-adjusted return (~Sharpe 0.97) over 1070+ days, and dynamic risk-off hedges.
Condensed "New User Guide" trend indicators.
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $197k | 2026-10-11 | |
| Backtest regulatory fees | $1,360 | 2026-10-11 | |
| Backtest slippage cost | $10k | 2026-10-11 |
| AI categories (Composer) | bonds, commodities, equities, leveraged etfs, momentum, risk-on/risk-off, tactical asset allocation, trend following, volatility | 2026-10-11 | |
| Asset classes / instruments | equities | 2026-10-11 |
| Logic complexity (node count) | 283 | 2026-10-11 | |
| Rebalance frequency | daily | 2026-10-11 |
| Concentration (Herfindahl index, out-of-sample, as Composer reports it) | 0.26 | 2026-10-11 | |
| Ticker universe (assets the logic can hold) | show[ "AAPL", "ADBE", "AGG", "AMD", "AMGN", "AMZN", "AVGO", "AXP", "BA", "BIL", "BND", "BNDX", "BRK/B", "BTAL", "BWX", "CAT", "COM", "COST", "CRM", "CSCO", "DBA", "DBB", "DBC", "EMB", "FAAR", "FTGC", "GBIL", "GLD", "GLTR", "GOOG", "GOOGL", "GS", "HD", "HON", "HYG", "IEF", "IEO", "JNJ", "JPM", "LLY", "MCD", "META", "MSFT", "NFLX", "NVDA", "PDBC", "PEP", "QQQ", "SHV", "SPXL", "SPXS", "SPY", "TBT", "TIP", "TMF", "TMV", "TQQQ", "TRV", "TSLA", "TYD", "UDOW", "UGL", "UNH", "UPRO", "USDU", "UVXY", "V", "VGSH", "VIXM", "VIXY", "VWO", "WOOD", "XLK", "XLU", "XOM" ] | 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) | 0.73 | 2026-10-11 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.52 | 2026-10-11 |
| Remixes (copies) | 6 | 2026-10-11 | |
| Watchers | 5 | 2026-10-11 |
| Community review status | ACTIVE | 2026-10-11 |
| Backtest length | 2,355 | 2026-10-11 | |
| Out-of-sample length | 733 | 2026-10-11 | |
| Return, backtest period (annualized) (backtest) | 37.54% | 2026-10-11 | |
| Return, backtest period (cumulative) (backtest) | 1869% | 2026-10-11 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 20.23% | 2026-10-11 | |
| Return, out-of-sample period (cumulative) (out-of-sample) | 71.03% | 2026-10-11 | |
| Return, trailing 1 day (out-of-sample) | 0.19% | 2026-10-11 | |
| Return, trailing 1 month (out-of-sample) | 3.54% | 2026-10-11 | |
| Return, trailing 1 week (out-of-sample) | -0.21% | 2026-10-11 | |
| Return, trailing 1 year (backtest) | 16.84% | 2026-10-11 | |
| Return, trailing 1 year (out-of-sample) | 16.84% | 2026-10-11 | |
| Return, trailing 2 weeks (out-of-sample) | 2.13% | 2026-10-11 | |
| Return, trailing 3 months (out-of-sample) | -5.45% | 2026-10-11 | |
| SPY annualized return over the backtest window (backtest) | 15.13% | 2026-10-11 |
| Calmar ratio, backtest period (backtest) | 1.09 | 2026-10-11 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 0.59 | 2026-10-11 | |
| Maximum drawdown, backtest period (backtest) | -34.51% | 2026-10-11 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -34.51% | 2026-10-11 | |
| Sharpe ratio, backtest period (backtest) | 1.44 | 2026-10-11 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 0.97 | 2026-10-11 | |
| Sortino ratio, backtest period (backtest) | 2.12 | 2026-10-11 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 1.38 | 2026-10-11 | |
| Standard deviation, backtest period (backtest) | 24.15% | 2026-10-11 | |
| Standard deviation, out-of-sample period (out-of-sample) | 21.47% | 2026-10-11 |
| Annualized turnover, backtest period (backtest) | 63.76 | 2026-10-11 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 68.75 | 2026-10-11 | |
| Daily win rate, backtest period (backtest) | 55.75% | 2026-10-11 | |
| Daily win rate, out-of-sample period (out-of-sample) | 53.48% | 2026-10-11 |
Composer Technologies · Composer
Composer Technologies · Composer
