Composer · investment strategy
by Composer Technologies · via Composer
A daily, contrarian, all‑in strategy. If a leveraged Nasdaq fund looks extremely oversold, it buys the most beaten‑down 3× tech/semis ETF; otherwise it buys the most beaten‑down metals/steel/gold fund. Single‑ETF, leveraged, 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.
“UGL (2× gold)”
“2) If <25: buy 100% of the worst 10‑day performer among TQQQ, TECL (3× tech), SOXL (3× semis).”
“Holds one ETF; rebalances daily.”
1 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.
0.0% of weight in (IVV: 3.0%)
No funds
No stated fossil-fuel rule; the exposure is shown for reference. : 100% · 2026-10-19 ()
0.0% of weight in (SPY: 0%)
A stated rule exists, but the holdings neither clearly back it up nor contradict it (for example, out of that asset right now). : 100% · 2026-10-19 ()
4 of 9 funds in its are : SOXL, TECL, TQQQ, UGL
Its stated rules make a claim, and its holdings back it up. : 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.
2 missing
The text the rules are quoted from, with where it came from.
Daily: 1) Compute RSI on TQQQ (3× Nasdaq‑100). RSI is a 0–100 gauge of recent moves; <25 = very oversold. 2) If <25: buy 100% of the worst 10‑day performer among TQQQ, TECL (3× tech), SOXL (3× semis). 3) Else: buy 100% of the worst 10‑day performer among CPER (copper), SLV (silver), PALL (palladium), PPLT (platinum), SLX (steel stocks), UGL (2× gold). Holds one ETF; rebalances daily.
A daily, contrarian, all‑in strategy. If a leveraged Nasdaq fund looks extremely oversold, it buys the most beaten‑down 3× tech/semis ETF; otherwise it buys the most beaten‑down metals/steel/gold fund. Single‑ETF, leveraged, high risk.
Out-of-sample, this daily contrarian strategy targets mean-reversion in leveraged tech or metals, delivering ~66.65% annualized return vs ~18.53% for the S&P, with Calmar ~2.07 and alpha ~0.25%, offering strong upside while acknowledging higher drawdown risk (~32%).
i plagiarized a good symphony and made it a lil better. this is the version used in my other symphonies, including line go up, which is where my actual money is. Sign up for a trading pass and use code E3eRP-v-TRADE for 25% off for life.
Every value on file, each labelled with its calculation basis and as-of date.
| Backtest final value (from $10,000) | $5.1B | 2026-10-19 | |
| Backtest regulatory fees | $19.6M | 2026-10-19 | |
| Backtest slippage cost | $187.7M | 2026-10-19 |
| AI categories (Composer) | contrarian, daily rebalanced, leveraged etfs, mean reversion, metals, precious metals, semiconductors, tactical, tech | ||
| Asset classes / instruments | equities |
| Logic complexity (node count) | 19 | 2026-10-19 | |
| Rebalance frequency | daily |
| Concentration (Herfindahl index, out-of-sample, as Composer reports it) | 1 | 2026-10-19 | |
| Ticker universe (assets the logic can hold) | show[ "CPER", "PALL", "PPLT", "SLV", "SLX", "SOXL", "TECL", "TQQQ", "UGL" ] | 2026-10-19 |
| Alpha vs SPY, out-of-sample (out-of-sample) | 0.27 | 2026-10-19 | |
| Beta vs SPY, out-of-sample (out-of-sample) | 2.20 | 2026-10-19 | |
| Correlation (R) vs SPY, out-of-sample (out-of-sample) | 0.54 | 2026-10-19 |
| Remixes (copies) | 126 | 2026-10-19 | |
| Watchers | 53 | 2026-10-19 |
| Community review status | ACTIVE | 2026-10-19 |
| Backtest length | 3,741 | 2026-10-19 | |
| Out-of-sample length | 3,741 | 2026-10-19 | |
| Return, backtest period (annualized) (backtest) | 142.16% | 2026-10-19 | |
| Return, backtest period (cumulative) (backtest) | 50528k% | 2026-10-19 | |
| Return, out-of-sample period (annualized) (out-of-sample) | 66.65% | ||
| Return, out-of-sample period (cumulative) (out-of-sample) | 54.93% | ||
| Return, trailing 1 day (out-of-sample) | -0.79% | 2026-10-19 | |
| Return, trailing 1 month (out-of-sample) | -4.45% | ||
| Return, trailing 1 week (out-of-sample) | -0.90% | 2026-10-19 | |
| Return, trailing 1 year (backtest) | 68.42% | 2026-10-19 | |
| Return, trailing 1 year (out-of-sample) | 0.00% | ||
| Return, trailing 2 weeks (out-of-sample) | -4.02% | 2026-10-19 | |
| Return, trailing 3 months (out-of-sample) | 25.12% | ||
| SPY annualized return over the backtest window (backtest) | 15.00% | 2026-10-19 |
| Calmar ratio, backtest period (backtest) | 3.45 | 2026-10-19 | |
| Calmar ratio, out-of-sample period (out-of-sample) | 2.07 | ||
| Maximum drawdown, backtest period (backtest) | -41.22% | 2026-10-19 | |
| Maximum drawdown, out-of-sample period (out-of-sample) | -32.17% | ||
| Sharpe ratio, backtest period (backtest) | 1.44 | 2026-10-19 | |
| Sharpe ratio, out-of-sample period (out-of-sample) | 1.24 | ||
| Sortino ratio, backtest period (backtest) | 4.54 | 2026-10-19 | |
| Sortino ratio, out-of-sample period (out-of-sample) | 1.85 | 2026-10-19 | |
| Standard deviation, backtest period (backtest) | 78.14% | 2026-10-19 | |
| Standard deviation, out-of-sample period (out-of-sample) | 52.23% |
| Annualized turnover, backtest period (backtest) | 87.57 | 2026-10-19 | |
| Annualized turnover, out-of-sample period (out-of-sample) | 102.62 | 2026-10-19 | |
| Daily win rate, backtest period (backtest) | 52.71% | 2026-10-19 | |
| Daily win rate, out-of-sample period (out-of-sample) | 54.30% | 2026-10-19 |
Composer Technologies · Composer
Composer Technologies · Composer
