Composer · investment strategy
by Composer Technologies · via Composer
It first reads short‑term Treasury bonds to infer if interest rates are falling, rising, or normal. Then it checks risk and inflation/fear gauges to choose between growth/tech, defensives and Treasuries, or hedges/shorts and commodities, rebalanced daily.
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 2026-10-19
: 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.
0.2% of weight in (IVV: 3.0%)
3 funds (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. : 99% · 2026-10-19 ()
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% · 2026-10-19 ()
14 of 52 funds in its are : BIS, DUG, EEV, QLD, RXL, SEF, SIJ, SKF, SRS, SVXY, TBT, TMV, TWM, YCS
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.
1) Read a short-term “heat meter” (RSI) on SHY, a 1–3 yr U.S. Treasury bond fund. Hot = bond prices up (rates falling), cold = prices down (rates rising), else neutral.<br>2) Then compare recent performance of stocks vs utilities, the fear index curve, real estate vs commodities, and defensives vs a rising‑rates proxy.<br>3) Pick a basket: risk‑on growth (NASDAQ/semis), defensives and Treasuries, or hedges/shorts and commodities. Rebalanced daily; uses leveraged funds.
It first reads short‑term Treasury bonds to infer if interest rates are falling, rising, or normal. Then it checks risk and inflation/fear gauges to choose between growth/tech, defensives and Treasuries, or hedges/shorts and commodities, rebalanced daily.
Out-of-sample, this strategy beats the S&P on risk-adjusted return with less downside: Sharpe 1.55 vs 1.09, annualized return 24.66% vs 17.86%, max drawdown 16.59% vs 18.76%, beta ~0.51, Calmar ~1.49 across 748 days.
siimilar to yield curve stuff symphony, this measures behavior of short term gov't bonds as a proxy for fed funds rate to determine interest rate regime. Then we check risk appetite proxies to determine long risk or long risk off within the bond environment.
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $397k | 2026-10-19 | |
| Backtest regulatory fees | $1,810 | 2026-10-19 | |
| Backtest slippage cost | $14k | 2026-10-19 |
| AI categories (Composer) | daily rebalance, etfs, leveraged/inverse, macro regime, momentum, multi-asset, risk-on/risk-off | ||
| Asset classes / instruments | equities |
| Logic complexity (node count) | 220 | 2026-10-19 | |
| Rebalance frequency | daily |
| Concentration (Herfindahl index, out-of-sample, as Composer reports it) | 0.27 | 2026-10-19 | |
| Ticker universe (assets the logic can hold) | show[ "BIS", "CWB", "DBA", "DBC", "DUG", "EEV", "GDX", "GDXJ", "GLD", "IAI", "IGV", "IHF", "ITB", "IYT", "JNK", "KBWD", "KCE", "KIE", "MOAT", "OEF", "PFF", "PSI", "QLD", "QQQ", "QUAL", "RXL", "SEF", "SHY", "SIJ", "SKF", "SMH", "SOXX", "SPY", "SRS", "SVXY", "TBT", "TLT", "TMV", "TWM", "UNL", "VIXM", "VIXY", "VNQ", "VTV", "XBI", "XLE", "XLP", "XLU", "XLV", "XLY", "XME", "YCS" ] | 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) | 0.51 | 2026-10-19 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.55 | 2026-10-19 |
| Remixes (copies) | 32 | 2026-10-19 | |
| Watchers | 16 | 2026-10-19 |
| Community review status | ACTIVE | 2026-10-19 |
| Backtest length | 3,333 | 2026-10-19 | |
| Out-of-sample length | 519 | 2026-10-19 | |
| Return, backtest period (annualized) (backtest) | 32.09% | 2026-10-19 | |
| Return, backtest period (cumulative) (backtest) | 3871% | 2026-10-19 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 24.66% | ||
| Return, out-of-sample period (cumulative) (out-of-sample) | 56.78% | ||
| Return, trailing 1 day (out-of-sample) | -0.75% | 2026-10-19 | |
| Return, trailing 1 month (out-of-sample) | -0.11% | ||
| Return, trailing 1 week (out-of-sample) | -1.30% | 2026-10-19 | |
| Return, trailing 1 year (backtest) | 5.09% | 2026-10-19 | |
| Return, trailing 1 year (out-of-sample) | 8.65% | ||
| Return, trailing 2 weeks (out-of-sample) | -0.97% | 2026-10-19 | |
| Return, trailing 3 months (out-of-sample) | 0.79% | ||
| SPY annualized return over the backtest window (backtest) | 14.02% | 2026-10-19 |
| Calmar ratio, backtest period (backtest) | 1.50 | 2026-10-19 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 1.49 | ||
| Maximum drawdown, backtest period (backtest) | -21.41% | 2026-10-19 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -16.59% | ||
| Sharpe ratio, backtest period (backtest) | 1.77 | 2026-10-19 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 1.55 | ||
| Sortino ratio, backtest period (backtest) | 2.89 | 2026-10-19 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 2.51 | 2026-10-19 | |
| Standard deviation, backtest period (backtest) | 16.54% | 2026-10-19 | |
| Standard deviation, out-of-sample period (out-of-sample) | 14.99% |
| Annualized turnover, backtest period (backtest) | 45.64 | 2026-10-19 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 52.86 | 2026-10-19 | |
| Daily win rate, backtest period (backtest) | 55.12% | 2026-10-19 | |
| Daily win rate, out-of-sample period (out-of-sample) | 53.18% | 2026-10-19 |
Composer Technologies · Composer
Composer Technologies · Composer
