🏴☠️ Expired Warranty V10, EricS with pirated content from BrianE, Ronniem90, narwhal44, DereckN, HinnomTX.
Today’s Change (Mar 17, 2026)
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A symphony is an automated trading strategy — Learn more about symphonies here
About
A dense, four-block, rules-based system that picks a single ETF to own each day from a large pool, using momentum and RSI signals across volatility and equity/bond assets to adapt to market regimes. High-leverage assets and anti-beta funds are included to hedge and amplify moves, but the design is complex and backtest-heavy.
- The strategy scans a large pool of ETFs (volatility hedges like UVXY, UVIX; SVXY; equity proxies like QQQ, TQQQ, TECL, SOXL; bonds like BIL/IEF/TLT; anti-beta funds like BTAL).
- It splits the logic into blocks (Block 1, Block 2, Block 3, Block 4) that reflect market regimes (bullish, normal, danger, etc.).
- Within each block, signals are computed for many tickers using indicators such as RSI (a momentum/strength gauge) with specific lookback days, moving-average comparisons, cumulative returns, and drawdown metrics.
- Assets that clear the filters are put into a pool; a single asset is selected (often using a top/bottom rule and select-n 1) and given 100% weight for that period.
- The model blends momentum and risk protections: levered ETFs can capture large moves but carry high risk, anti-beta and bond-like funds offer risk-balancing, and volatility products aim to hedge during stress.
- The blocks reference different combinations (e.g., “Bullish Market Conditions,” “Normal market,” “Danger Market Conditions”) suggesting the system tries to tilt toward different asset families depending on current signal strength and posture.
- In practice, this yields a daily decision: “today I hold this one ETF,” with tiny or no diversification across several assets at once. The intent is to ride regime shifts with a focused, rule-based stance rather than a diversified multi-asset allocation.
- Overall risk: high given heavy use of leveraged volatility products and long, layered signal logic; success depends on robustness of RSI/momentum filters and the regime hypothesis over the tested period.
Out-of-sample: ~59.65% annualized return vs ~23.12% for the S&P; Calmar ~1.42 signals strong risk-adjusted upside. Note: max drawdown ~42% vs ~19% for S&P. A regime-aware, single-asset picker aims to capture big moves.
1M
3M
6M
YTD
1Y
3Y
Max
Performance
Compared to selected benchmarks
| Alpha | Beta | R2 | R | |
|---|---|---|---|---|
| 1.32 | 1.03 | 0.08 | 0.27 |
Performance Metrics
| Cumulative Return | Annualized Return | Trailing 1M Return | Trailing 3M Return | Sharpe Ratio | |
|---|---|---|---|---|---|
| 79.98% | 17.18% | -2.02% | -1.16% | 1.04 | |
| 12,770.87% | 270.84% | -7.16% | -7.68% | 2.41 |
Initial Investment
$10,000.00
Final Value
$1,287,087.31Regulatory Fees
$10,522.34
Total Slippage
$65,258.78
Invest in this strategy
OOS Start Date
May 26, 2023
Trading Setting
Threshold 10%
Type
Stocks
Category
Systematic strategy, multi-asset, volatility hedging, rules-based, levered etfs
Tickers in this symphonyThis symphony trades 72 assets in total
Ticker
Type
AGG
iShares Core U.S. Aggregate Bond ETF
Stocks
ARKG
ARK Genomic Revolution ETF
Stocks
ARKK
ARK Innovation ETF
Stocks
ARKQ
ARK Autonomous Technology & Robotics ETF
Stocks
ARKW
ARK Next Generation Internet ETF
Stocks
ARKX
ARK Space & Defense Innovation ETF
Stocks
BIL
State Street SPDR Bloomberg 1-3 Month T-Bill ETF
Stocks
BITI
ProShares Short Bitcoin ETF
Stocks
BITO
ProShares Bitcoin ETF
Stocks
BND
Vanguard Total Bond Market
Stocks