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Today’s Change (Mar 17, 2026)
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A symphony is an automated trading strategy — Learn more about symphonies here
About
A daily-rotating, multi-block tactical approach that mixes leveraged long and short ETF bets across tech, semiconductors, growth themes, and macro hedges, guided by short-term momentum and trend signals, with defensive overlays to curb volatility. High risk and highly complex.
Plain-language summary:
- The system runs every day and decides how to split money among a big group of ETFs (including leveraged ones that aim to amplify moves up or down).
- It looks for the best short-term performers in each group, ranking candidates by momentum (are prices rising fast or falling recently) and other trend checks. It then puts most or all of the money on the strongest pick and uses the rest as hedges.
- When signals look weak or the market looks risky, it pivots to defensive positions (bonds, cash-equivalents, or inverse/short ETFs) and adds volatility-related hedges to limit losses.
- There are separate sub-strategies that emphasize different ideas (ARK-related bets, “beta ballers” for aggressive exposure, and a Plaid/Inner Baller framework for selection). Each sub-strategy has its own rules about when to go long, when to go short, and how much to weight each idea.
- Signals used include momentum (how fast prices rose or fell in the recent past), moving averages (is a security in an uptrend or not), and volatility indicators (like how hot the market is). They compare assets against market indices (like SPY) or bond proxies to decide what direction is favored.
- The overall approach is tactical and on-the-fly: it changes daily, rather than sticking with a fixed list of bets for a long period.
- Important caveats: levered ETFs (3x) and inverse ETFs magnify both gains and losses; the daily resetting nature can distort long-run results if held many days; diversification here is across many instruments but still focused on a specific risk/volatility regime, so it’s not a simple “buy and hold” strategy.
How to think about it as a layperson:
- Imagine having a big team of bets that can go up a lot when the market is strong and down a lot when the market is weak. The team decides each day which single bet to back most strongly, and it also has a toolbox of hedges to protect against bad news. The goal is to capture quick profits from momentum while keeping a shield against big drops, though it comes with high risk and complexity.
If you’re not comfortable with frequent trading, or with 3x leverage, this style is not ideal. It’s best understood as a high-octane, risk-tuned, tactical rotation strategy rather than a straightforward long-term growth plan.
Daily momentum rotation among leveraged bets with hedges aims to beat SPY on risk-adjusted terms. Out-of-sample return ~85% vs ~23% SPY; Calmar ~1.92; Sharpe ~1.40. Higher upside with hedges, but larger drawdowns—for experienced investors.
1M
3M
6M
YTD
1Y
3Y
Max
Performance
Compared to selected benchmarks
| Alpha | Beta | R2 | R | |
|---|---|---|---|---|
| 1.47 | 0.97 | 0.08 | 0.29 |
Performance Metrics
| Cumulative Return | Annualized Return | Trailing 1M Return | Trailing 3M Return | Sharpe Ratio | |
|---|---|---|---|---|---|
| 72.15% | 15.5% | -2.02% | -1.16% | 0.94 | |
| 25,183.69% | 333.9% | -10.41% | -0.34% | 2.87 |
Initial Investment
$10,000.00
Final Value
$2,528,368.95Regulatory Fees
$16,724.43
Total Slippage
$104,173.71
Invest in this strategy
OOS Start Date
Mar 16, 2023
Trading Setting
Daily
Type
Stocks
Category
etc. this indicates a blend of trend-following and momentum-rotation logic rather than a pure mean-reversion system.
- the strategy uses a bottom/top selection mechanism within each signal window. the “select-fn” is often set to bottom or top, with “select-n” equal to 1 or sometimes 2, and “sort-by-fn” set to moving-average-return or cumulative return; the “sort-by-window-days” typically ranges from 4 to 7 days for the momentum lookback, allowing the system to pick the strongest (top) or weakest (bottom) performers within a candidate pool.
- candidate pools are wide and include long-leverage and short-leverage variants across multiple themes. the architecture shows repeated structures like:
- a “wt-cash-equal” node indicating a cash-constrained weighting floor for a sub-portfolio, then an inner selection block that chooses from etf assets with a weighting target, and a flag to “filter” based on the chosen sort criteria.
- a heavy emphasis on rotation between risk-on (levered bull etfs) vs risk-off (inverse/leverage-down etfs and volatility hedges). there are explicit “overbought/sell the rip” and “extremely oversold” groupings with volatility hedges (uvxy, vixy) and optional long/short tilt depending on rsi readings against benchmarks like spy or tlh.
- the strategy contains defensive overlays (e.g., “defense | modified,” “plaid inner baller,” and “ark baller (long/short)” blocks). these blocks appear to be designed to reduce exposure in adverse markets or to reallocate toward safer instruments (short-term treasuries like shy, longer treasuries like ief, and bond proxies like agg) when momentum signals deteriorate. the defensive blocks also include checks against volatility indices (vix/uvxy) and discretionary overlays for using correlation-based or standard-deviation-based risk measures.
- risk management and hedging: the structure includes explicit volatility hedges (uvxy, vixy) and inverse or bear instruments (sqqq, sark, soxs, spxs, tmv, ty0-ish bear exposures) to reduce drawdown in downturns, and to capture upside in strong up-states. it employs standard deviation metrics, cumulative return checks, and trend qualifiers (e.g., exponential moving-average price tests) to avoid chasing false breakouts.
- position sizing: the configuration shows weights in the form of a pair like {:num 100, :den 100} or {:num 90, :den 100}, indicating a full or near-full cash-equivalent allocation within a sub-portfolio, with occasional 0/100 splits in more dynamic blocks. the system seems designed to allocate to a single best candidate within a pool per signal, but with multiple overlapping pools rolling up into a composite allocation.
- ticking complexity and backtesting flavor: the “step” tags, nested “if” blocks, and multiplicity of signals imply a strategy that relies on multiple conditional gates that can look very deep (nested if-else trees). it seems designed for backtesting (the names include “backtest” style notes like v2.0.2b, etc.), as well as live toggling. the sheer breadth of the asset universe and the nested decision trees suggest a high degree of overfitting risk, but also a broad diversification of macro-views.
- sector and theme exposure: the core long bulls emphasize technology, semiconductors, and innovation-themed etfs (ark, tark, soxx, tecl, soxl, etc.), with exposure to large-cap growth through upro/qld/tqqq-like products. the defensive overlays emphasize bonds (shy, agg, ief, tmf, tmv, tlt proxies), gold (gld), and currency/commodity exposures (uup for dollar, uco for crude oil). global exposure includes yinn (china bull), edc (emerging markets), ewz (brazil), epi (india-focused?), and other international leverage vehicles.
- conclusion about intent: the designer intends to blend aggressive growth/risk-on tilts with tactical hedges and risk-off overlays, using a broad array of momentum and trend signals. the daily rebalance cadence implies a short-to-medium-term horizon with frequent turnover, aiming to harvest short-term alpha from leverage while cushioning downside via volatility and bond hedges. warning signs include complexity, high turnover, leverage compounding effects, and reliance on many relatively volatile instruments; this is likely suited for sophisticated, risk-tolerant investors and not for a buy-and-hold approach.
notes for explainability and future maintenance:
- if you were to explain this to a layperson, focus on the idea of three layers: (1) a core set of high-growth bets via leveraged tech/ark-like exposure, (2) a parallel set of hedges and bear bets to protect in bad markets, and (3) periodic reshuffling every trading day based on short-term momentum and price trends. emphasize that leverage magnifies both gains and losses, especially when held over multiple days due to compounding, so this is risky and not suitable for passive investors.
Tickers in this symphonyThis symphony trades 69 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
BND
Vanguard Total Bond Market
Stocks
BSV
Vanguard Short-Term Bond ETF
Stocks
BTAL
AGF U.S. Market Neutral Anti-Beta Fund
Stocks