Collective2 · investment strategy
by Collective2
AdaptiveAlpha AWP is a fully systematic, rules-based portfolio that allocates across equity and defensive asset buckets using backtested Sharpe-based allocation, momentum, and absolute trend filters. Rebalanced monthly with no discretion, leverage, or short-term trading.
Description from Collective2
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.
“Long-only, unlevered: No leverage, options, or futures”
“The strategy is designed to participate in favorable equity environments while systematically shifting toward defensive assets when conditions weaken.”
“Monthly rebalance (typically at the start of the month)”
“If both equity and defensive assets are in a downtrend, the strategy will reduce risk by avoiding exposure until positive momentum conditions re-emerge.”
“Assets and buckets must exhibit positive trends to be eligible for investment”
“Sharpe-driven weighting: Bucket and sleeve allocations are informed by backtested Sharpe ratio behavior”
No published holdings for this strategy.
Fitted to 176 returns (hypothetical) from 2026-02-10 to 2026-10-13. An estimate, not holdings: it can't name stocks.
· : 0.11 · Too loose a fit for a verdict; shown as a guide.
Beta to the S&P 500: 0.23 (90%: -0.07 to 0.39)
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.
No holdings on file, so nothing to test.
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
Rebalance schedule taken from a stated rule.
The text the rules are quoted from, with where it came from.
AdaptiveAlpha AWP is a fully systematic, rules-based portfolio that allocates capital across multiple equity and defensive asset buckets using backtested algorithms grounded in risk-adjusted performance (Sharpe ratio), momentum, and trend speed. Rather than selecting assets in isolation, the strategy first determines how much capital to allocate to each bucket (e.g., equity momentum vs. defensive momentum) based on historical Sharpe behavior and signal strength. Assets within each bucket are then selected and sized using objective momentum and trend criteria. There is no discretionary decision-making once the rules are set. Portfolio Construction Framework Bucket-based allocation: Capital is first allocated across predefined equity and defensive sleeves Sharpe-driven weighting: Bucket and sleeve allocations are informed by backtested Sharpe ratio behavior Speed & momentum signals: Allocation adjusts based on the strength and persistence of trends Absolute momentum filters: Assets and buckets must exhibit positive trends to be eligible for investment Systematic selection: Assets within each bucket are selected using rules-based momentum filters Long-only, unlevered: No leverage, options, or futures Rebalancing & Execution Monthly rebalance (typically at the start of the month) Bucket weights and asset weights are reset to model-defined targets Overlapping or redundant exposures are consolidated at rebalance All trades follow predefined rules with no discretionary overrides Risk Management Philosophy Risk is managed through diversification across uncorrelated buckets, dynamic allocation driven by risk-adjusted return metrics, absolute momentum filters, and disciplined rebalancing. The strategy is designed to participate in favorable equity environments while systematically shifting toward defensive assets when conditions weaken. If both equity and defensive assets are in a downtrend, the strategy will reduce risk by avoiding exposure until positive momentum conditions re-emerge. Drawdown control and consistency are prioritized over aggressive return chasing. What This Strategy Is — and Is Not This strategy is: Fully systematic and backtested Driven by risk-adjusted performance, not forecasts Designed for consistency across market regimes This strategy is not: A discretionary or news-driven strategy A high-turnover trading system A single-factor or single-asset approach
AdaptiveAlpha AWP is a fully systematic, rules-based portfolio that allocates across equity and defensive asset buckets using backtested Sharpe-based allocation, momentum, and absolute trend filters. Rebalanced monthly with no discretion, leverage, or short-term trading.
Every value on file, each labelled with its calculation basis and as-of date.
| Asset classes / instruments | stocks | ||
| Leaderboard views (Collective2) | new_highs |
| Subscription price per month | $99 | 2026-10-03 | |
| Suggested minimum capital | $15k | 2026-10-03 |
| Strategy age | 254 | 2026-10-03 |
| Alpha vs S&P 500, strategy life (hypothetical model account) | 0.06 | 2026-10-03 | |
| Beta vs S&P 500, strategy life (hypothetical model account) | 0.17 | 2026-10-03 | |
| Correlation to S&P 500, strategy life (hypothetical model account) | 0.23 | 2026-10-03 |
| Monthly returns (hypothetical model account) | show{
"2026-Apr": 0.05787,
"2026-Aug": -0.00228,
"2026-Feb": 0.03914,
"2026-Jul": 0.05542,
"2026-Jun": 0.01544,
"2026-Mar": -0.02648,
"2026-May": 0.049859999999999995,
"2026-Oct": 0.01,
"2026-Sep": -0.00197,
"2026-YTD": 0.21100000000000002
} | 2026-10-03 |
| Maximum drawdown, strategy life (hypothetical model account) | -5.76% | 2026-10-03 | |
| Sharpe ratio, strategy life (hypothetical model account) | 2.24 | 2026-10-03 | |
| Sortino ratio, strategy life (hypothetical model account) | 3.65 | 2026-10-03 |
| Average leverage | 0.73 | 2026-10-03 | |
| Maximum daily leverage | 1.28 | 2026-10-03 | |
| Number of trades | 112 | 2026-10-03 | |
| Percent of trades profitable | 53.57% | 2026-10-03 | |
| Profit factor | 4.10 | 2026-10-03 |