Quantbase · investment strategy
by Quantbase
Built to capitalize on broad economic growth and hedge against downturns by rotating into a 3x leveraged S&P position when the market shows signs of growth, or a short-term T-Bill position when the market shows signs of crisis.
Description from Quantbase
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.
Each rule is quoted word for word from the strategy's own documents.
“rotates entirely to BIL when below”
“a short-term T-Bill position when the market shows signs of crisis”
“Leveraged ETF; T-bill ETF”
“rotating into a 3x leveraged S&P position when the market shows signs of growth”
“the moving averages determine when to be in the market or not”
1 positions as of 2026-04-09 · 4 snapshots on file
by the source.
Fitted to 78 returns (composite) from 2023-10-23 to 2026-10-05. An estimate, not holdings: it can't name stocks.
· : 0.63 · Too loose a fit for a verdict; shown as a guide.
Beta to the S&P 500: 2.33 (90%: 1.82 to 2.82)
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.
3.2% of weight in (IVV: 3.0%)
1 fund (SEC N-PORT, as of 2026-05-31)
The holdings on file are more than 120 days old, so there’s no verdict. : 99% · 2026-04-09
100.0% of weight in (SPY: 0%)
The holdings on file are more than 120 days old, so there’s no verdict. : 100% · 2026-04-09
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.
3 missing · 1 out of date
The text the rules are quoted from, with where it came from.
100% UPRO when SPY is above its 200-day SMA; rotates entirely to BIL when below
Due to its usage of technical and other indicators to be invested or divested from an ETF, this is a market timing model. A broad risk involved in market timing is that it will fail to capture upside if divested. Indicators that have performed historically may not hold predictive power in the future.
This strategy comes from a quant research paper focused on a long-run leveraged strategy to survive downturns as large as the Great Depression; There are two main parts to this strategy -- the moving averages determine when to be in the market or not, and the leverage amplifies upside/downside in either case; Of note, this strategy remained flat during the Great Recession -- while the S&P dropped over 50% and just buying and holding the leveraged S&P ETF dropped almost 99%, this strategy suffered a max drawdown of near 10% from 2008-2010
Because leveraged ETFs use financial derivatives to give you 3x or 2x leverage to the underlying, they don't always fully track the index -- the return of leveraged funds for periods longer than a single day will be the result of its return for each day compounded over the period. What this means that, in general, in a rising market, a 3x leveraged instrument would likely deliver more than 3x returns, but in a sideways or falling market, a 3x leveraged instrument would underperform its underlying by more than 3x. For example, if the S&P goes up 5% over a week, a 3x ETF might not go up exactly 15%. This is especially important in high-volatility markets, where leveraged ETFs may underperform their expected returns due to the compounding effects detailed earlier. In a very general sense, the reason for this is that tracking restarts at the start of each trading day -- 3x ETF performance is based on the daily move of its underlying 1x, and not on the 3x ETF's share value itself. This strategy invests in fractional shares when available. When not available, it will invest in the nearest (lower) whole number of shares. Please note that this number may be 0 if your investment in this strategy is sufficiently low, meaning our investment strategy advertised returns will be different from your returns.
Built to capitalize on broad economic growth and hedge against downturns by rotating into a 3x leveraged S&P position when the market shows signs of growth, or a short-term T-Bill position when the market shows signs of crisis.
Every value on file, each labelled with its calculation basis and as-of date.
| Last rebalance date | 2026-04-09 | 2026-10-05 | |
| Rebalance frequency | custom | 2026-10-05 | |
| Rebalancing (methodology text) | Signal-based |
| Brokerage / custodian | Alpaca | 2026-10-05 | |
| Management / advisory fee | 1.00% |
| Metrics calculated through | 2026-10-05 | 2026-10-05 |
| Program in the firm's Form ADV brochure | url: https://files.adviserinfo.sec.gov/IAPD/Content/Common/crd_iapd_Brochure.aspx?BRCHR_VRSN_ID=1043543 · name: Leveraged Trend-Following In and Out Flagship · covers: 1 · source_key: quantbase_surmount|8 · original_name: Leverage Flagship |
| Correlation to SPY (Quantbase data field) (basis not stated) | 0.24 | 2026-10-05 | |
| Correlation to SPY (full history) (client composite) | 0.24 | 2026-10-05 |
| Annual return (Quantbase data field) (basis not stated) | 17.71% | 2026-10-05 | |
| Backtest end date (Quantbase data field) | 2022-04-01 | 2026-10-05 | |
| Return since chart start (cumulative) (client composite) | 61.13% | 2026-10-05 | |
| Return, rolling 1 year (client composite) | 6.80% | 2026-10-05 |
| Daily volatility over the chart range (client composite) | 1.70% | 2026-10-05 | |
| Max drawdown (Quantbase data field) (basis not stated) | -46.62% | 2026-10-05 | |
| Max drawdown over the chart range (client composite) | -37.10% | 2026-10-05 | |
| Monthly volatility over the chart range (client composite) | 8.92% | 2026-10-05 | |
| Sharpe ratio (Quantbase data field) (basis not stated) | 0.98 | 2026-10-05 | |
| Sharpe ratio from daily returns over the chart range (client composite) | 0.49 | 2026-10-05 | |
| Volatility (Quantbase data field) (basis not stated) | 2.17% | 2026-10-05 | |
| Volatility over the chart range, annualized from daily (×√252) (client composite) | 26.99% | 2026-10-05 |
| Qualitative risk score (Quantbase data field) | 4.25 | 2026-10-05 | |
| Risk score 0-5 (Quantbase) | 4.17 | 2026-10-05 |
| Experience minimum: bonds | 0 | 2026-10-05 | |
| Experience minimum: crypto | 0 | 2026-10-05 | |
| Experience minimum: equity | 0 | 2026-10-05 | |
| Experience minimum: leverage | 0 | 2026-10-05 | |
| Experience minimum: options | 0 | 2026-10-05 |
Composer Technologies · Composer
Composer Technologies · Composer