Composer · investment strategy
by Composer Technologies · via Composer
A weekly AI/tech momentum strategy: buy the 3 strongest AI/tech stocks and 2 strongest AI/robotics/semiconductor ETFs based on ~3‑month average gains, with 75% in stocks and 25% in ETFs. Rebalances weekly to ride recent winners.
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.
5 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.
0.0% of weight in (IVV: 3.0%)
2 funds (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. : 99% · 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 ()
0 of 15 funds in its are
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 AI / ML-driven label, from other sources first, strongest risk-adjusted return first.
Collective2
Collective2
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 week it looks at two lists: (1) AI/tech stocks (e.g., NVIDIA, Microsoft, Google, Meta, Tesla, AMD, ASML, Snowflake, Palantir, Intuitive Surgical) and (2) AI/robotics/semiconductor ETFs (BOTZ, ROBO, VGT, SOXX, SMH). It ranks each list by average gain over the last ~3 months, buys the top 3 stocks (75% total, split evenly) and top 2 ETFs (25% total, split evenly), then refreshes weekly.
A weekly AI/tech momentum strategy: buy the 3 strongest AI/tech stocks and 2 strongest AI/robotics/semiconductor ETFs based on ~3‑month average gains, with 75% in stocks and 25% in ETFs. Rebalances weekly to ride recent winners.
AI/tech momentum strategy delivers outsized, risk-adjusted gains vs the S&P: ~81% annualized return; Sharpe ~1.75; Calmar ~4.16. A disciplined 75/25 mix of top stocks and AI ETFs with weekly rebalances—strong upside, controlled risk.
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $87k | 2026-10-11 | |
| Backtest regulatory fees | $29 | 2026-10-11 | |
| Backtest slippage cost | $206 | 2026-10-11 |
| AI categories (Composer) | ai/tech momentum, equities, etfs, semiconductors, weekly rebalance | 2026-10-11 | |
| Asset classes / instruments | equities | 2026-10-11 |
| Logic complexity (node count) | 19 | 2026-10-11 | |
| Rebalance frequency | weekly | 2026-10-11 |
| Concentration (Herfindahl index, out-of-sample, as Composer reports it) | 0.22 | 2026-10-11 | |
| Ticker universe (assets the logic can hold) | show[ "AMD", "ASML", "BOTZ", "GOOG", "ISRG", "META", "MSFT", "NVDA", "PLTR", "ROBO", "SMH", "SNOW", "SOXX", "TSLA", "VGT" ] | 2026-10-11 |
| Alpha vs SPY, out-of-sample (out-of-sample) | 0.29 | 2026-10-11 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 2.28 | 2026-10-11 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.78 | 2026-10-11 |
| Remixes (copies) | 46 | 2026-10-11 | |
| Watchers | 10 | 2026-10-11 |
| Community review status | ACTIVE | 2026-10-11 |
| Backtest length | 1,423 | 2026-10-11 | |
| Out-of-sample length | 252 | 2026-10-11 | |
| Return, backtest period (annualized) (backtest) | 46.75% | 2026-10-11 | |
| Return, backtest period (cumulative) (backtest) | 773.66% | 2026-10-11 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 81.25% | 2026-10-11 | |
| Return, out-of-sample period (cumulative) (out-of-sample) | 81.68% | 2026-10-11 | |
| Return, trailing 1 day (out-of-sample) | 2.72% | 2026-10-11 | |
| Return, trailing 1 month (out-of-sample) | 14.37% | 2026-10-11 | |
| Return, trailing 1 week (out-of-sample) | 3.03% | 2026-10-11 | |
| Return, trailing 1 year (backtest) | 82.17% | 2026-10-11 | |
| Return, trailing 1 year (out-of-sample) | 82.51% | 2026-10-11 | |
| Return, trailing 2 weeks (out-of-sample) | 4.34% | 2026-10-11 | |
| Return, trailing 3 months (out-of-sample) | 11.52% | 2026-10-11 | |
| SPY annualized return over the backtest window (backtest) | 14.54% | 2026-10-11 |
| Calmar ratio, backtest period (backtest) | 0.94 | 2026-10-11 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 4.16 | 2026-10-11 | |
| Maximum drawdown, backtest period (backtest) | -49.78% | 2026-10-11 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -19.52% | 2026-10-11 | |
| Sharpe ratio, backtest period (backtest) | 1.19 | 2026-10-11 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 1.75 | 2026-10-11 | |
| Sortino ratio, backtest period (backtest) | 1.81 | 2026-10-11 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 2.75 | 2026-10-11 | |
| Standard deviation, backtest period (backtest) | 38.54% | 2026-10-11 | |
| Standard deviation, out-of-sample period (out-of-sample) | 38.26% | 2026-10-11 |
| Annualized turnover, backtest period (backtest) | 9.20 | 2026-10-11 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 7.44 | 2026-10-11 | |
| Daily win rate, backtest period (backtest) | 53.97% | 2026-10-11 | |
| Daily win rate, out-of-sample period (out-of-sample) | 57.14% | 2026-10-11 |
Collective2
Collective2
