Collective2 · investment strategy
by Collective2
AI-driven long/short trading system focused on high-probability entries and reduced market exposure.
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.
“Our system focuses exclusively on highly liquid, large-cap U.S. equities with:”
No published holdings for this strategy.
Fitted to 252 returns (hypothetical) from 2025-11-03 to 2026-10-20. An estimate, not holdings: it can't name stocks.
· : 0.34 · Too loose a fit for a verdict; shown as a guide.
Beta to the S&P 500: 0.95 (90%: 0.72 to 1.19)
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
The text the rules are quoted from, with where it came from.
Our system focuses exclusively on highly liquid, large-cap U.S. equities with: Market capitalizations above $10 billion At least 5 years of historical market data Strong average daily trading volume, typically near or above 1 million shares per day The trading universe includes over 90% of the S&P 500 along with several other well-known market leaders. By concentrating on established, liquid stocks, the strategy avoids thinly traded names and emphasizes consistency, execution quality, and risk management. How Are Trade Entries Selected? Trade entries are generated using our proprietary Trading Monkey Framework, an evolutionary modeling system designed to identify high-probability trading opportunities. The framework uses a process inspired by natural selection and machine learning: Millions of trading model variations are created and tested against historical market data Models compete based on performance metrics such as expectancy, consistency, and efficiency The strongest models evolve through reproduction and mutation, while weaker models are eliminated Over countless optimization cycles, highly refined trading models emerge The primary objective of the system is simple: Identify moments when a stock has the highest probability of making a significant move in the shortest possible period of time. The result is a systematic, data-driven approach focused on capturing momentum and asymmetric risk/reward opportunities while removing emotion from the trading process. Strategy Philosophy This is not a “buy and hope” strategy. Every position is selected using quantitative analysis, historical pattern recognition, and continuously evolved models designed to adapt to changing market conditions. The goal is to deliver: High-quality entry timing Disciplined exits Shorter holding periods when possible Consistent risk-adjusted returns over time
AI-driven long/short trading system focused on high-probability entries and reduced market exposure.
Every value on file, each labelled with its calculation basis and as-of date.
| Asset classes / instruments | stocks | ||
| Leaderboard views (Collective2) | popular |
| Subscription price per month | $50 | ||
| Suggested minimum capital | $35k |
| Strategy age | 1,081 |
| Alpha vs S&P 500, strategy life (hypothetical model account) | 0.03 | 2026-10-20 | |
| Beta vs S&P 500, strategy life (hypothetical model account) | 0.63 | 2026-10-20 | |
| Correlation to S&P 500, strategy life (hypothetical model account) | 0.49 | 2026-10-20 |
| Annual return compounded, strategy life (hypothetical model account) | 30.10% | ||
| Annualized return since inception (Lighthorse, daily, hypothetical) | 28.32% | 2026-10-20 | |
| Monthly returns (hypothetical model account) | show{
"2023-Dec": -0.08487,
"2023-Nov": 0.01224,
"2023-Oct": 0.00627,
"2023-YTD": -0.06785999999999999,
"2024-Apr": -0.0576,
"2024-Aug": 0.024620000000000003,
"2024-Dec": -0.06557,
"2024-Feb": -0.03197,
"2024-Jan": -0.01188,
"2024-Jul": 0.02213,
"2024-Jun": 0.042030000000000005,
"2024-Mar": -0.02028,
"2024-May": 0.028300000000000002,
"2024-Nov": 0.14315,
"2024-Oct": 0.05416000000000001,
"2024-Sep": 0.04256,
"2024-YTD": 0.16349,
"2025-Apr": 0.00703,
"2025-Aug": -0.00523,
"2025-Dec": -0.02734,
"2025-Feb": 0.01902,
"2025-Jan": 0.056740000000000006,
"2025-Jul": -0.03402,
"2025-Jun": 0.03768,
"2025-Mar": -0.059359999999999996,
"2025-May": 0.02527,
"2025-Nov": -0.03487,
"2025-Oct": 0.0892,
"2025-Sep": 0.11492000000000001,
"2025-YTD": 0.18881,
"2026-Apr": 0.16998000000000002,
"2026-Aug": 0.08124,
"2026-Feb": 0.02597,
"2026-Jan": 0.00477,
"2026-Jul": 0.12987,
"2026-Jun": -0.05219,
"2026-Mar": -0.01814,
"2026-May": 0.12353,
"2026-Oct": -0.003,
"2026-Sep": 0.05968,
"2026-YTD": 0.628
} | 2026-10-20 | |
| Return, 1 month (hypothetical model account) | 10.11% | ||
| Return, 3 months (hypothetical model account) | 29.80% | ||
| Return, 6 months (hypothetical model account) | 53.91% | ||
| Return, last 365 days (Lighthorse, daily, hypothetical) | 62.45% | 2026-10-20 |
| Maximum drawdown since inception (Lighthorse, daily, hypothetical) | -23.06% | 2026-10-20 | |
| Maximum drawdown, last 365 days (Lighthorse, daily, hypothetical) | -10.98% | 2026-10-20 | |
| Maximum drawdown, strategy life (hypothetical model account) | -23.40% | ||
| Sharpe ratio since inception (Lighthorse, daily, hypothetical) | 1.00 | 2026-10-20 | |
| Sharpe ratio, last 365 days (Lighthorse, daily, hypothetical) | 2.19 | 2026-10-20 | |
| Sharpe ratio, strategy life (hypothetical model account) | 1.12 | ||
| Sortino ratio, last 365 days (Lighthorse, daily, hypothetical) | 3.67 | 2026-10-20 | |
| Sortino ratio, strategy life (hypothetical model account) | 1.55 | 2026-10-20 | |
| Volatility since inception (Lighthorse, daily, hypothetical) | 22.51% | 2026-10-20 | |
| Volatility, last 365 days (Lighthorse, daily, hypothetical) | 20.69% | 2026-10-20 |
| Heart Attack Index (Collective2) | 8 |
| Average leverage | 1.75 | ||
| Average position time | 35,296 | ||
| Maximum daily leverage | 2.53 | 2026-10-20 | |
| Number of trades | 1,263 | 2026-10-20 | |
| Percent of trades profitable | 61.56% | ||
| Profit factor | 1.62 | ||
| Win:loss ratio | 1.62 |