Collective2 · investment strategy
by 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.
“selecting those SP500 stocks that meet certain criteria”
No published holdings for this strategy.
Fitted to 252 returns (hypothetical) from 2025-10-30 to 2026-10-16. An estimate, not holdings: it can't name stocks.
· : 0.41 · Too loose a fit for a verdict; shown as a guide.
Beta to the S&P 500: 1.52 (90%: 1.11 to 1.80)
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.
Urdaneta is a fully automated algorithm developed in Matlab. It consists of several proprietary trading strategies that operate simultaneously in order to increase the system's profit and reduce risk. These strategies work with daily data, selecting those SP500 stocks that meet certain criteria. Ten minutes before the market closes, the algorithm searches for stocks to trade, both long and short positions, and sends opening and closing signals in the last two minutes before the market closes (approximately at 3:58 p.m., open positions are closed, and at 3:59 p.m., new positions are opened). Therefore, the system must be followed automatically (not manually) to obtain the same data shown in Collective2. The algorithm works without stop loss.
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 | $125 | 2026-10-19 | |
| Suggested minimum capital | $15k | 2026-10-19 |
| Strategy age | 1,262 | 2026-10-19 |
| Alpha vs S&P 500, strategy life (hypothetical model account) | 0.02 | 2026-10-19 | |
| Beta vs S&P 500, strategy life (hypothetical model account) | 0.49 | 2026-10-19 | |
| Correlation to S&P 500, strategy life (hypothetical model account) | 0.32 | 2026-10-19 |
| Annual return compounded, strategy life (hypothetical model account) | 17.90% | ||
| Annualized return since inception (Lighthorse, daily, hypothetical) | 15.67% | 2026-10-16 | |
| Monthly returns (hypothetical model account) | show{
"2023-Aug": -0.05847,
"2023-Dec": -0.02086,
"2023-Jul": 0.054189999999999995,
"2023-Jun": 0.034409999999999996,
"2023-May": -0.0174,
"2023-Nov": -0.00713,
"2023-Oct": 0.01134,
"2023-Sep": -0.05178,
"2023-YTD": -0.059480000000000005,
"2024-Apr": -0.02694,
"2024-Aug": -0.01381,
"2024-Dec": -0.06995,
"2024-Feb": 0.04956000000000001,
"2024-Jan": -0.012430000000000002,
"2024-Jul": 0.03124,
"2024-Jun": -0.01278,
"2024-Mar": 0.02658,
"2024-May": 0.00003,
"2024-Nov": 0.11366,
"2024-Oct": 0.04885,
"2024-Sep": -0.02068,
"2024-YTD": 0.10599,
"2025-Apr": 0.14393,
"2025-Aug": 0.09635999999999999,
"2025-Dec": -0.01594,
"2025-Feb": -0.08244,
"2025-Jan": 0.062,
"2025-Jul": 0.12377,
"2025-Jun": 0.01616,
"2025-Mar": -0.08761,
"2025-May": 0.10664,
"2025-Nov": -0.03604,
"2025-Oct": 0.13842000000000002,
"2025-Sep": 0.06923,
"2025-YTD": 0.62703,
"2026-Apr": 0.04501,
"2026-Aug": -0.00058,
"2026-Feb": -0.02661,
"2026-Jan": 0.1134,
"2026-Jul": -0.044219999999999995,
"2026-Jun": -0.11718999999999999,
"2026-Mar": -0.025169999999999998,
"2026-May": 0.03131,
"2026-Oct": 0.018000000000000002,
"2026-Sep": 0.04657,
"2026-YTD": 0.023
} | 2026-10-19 | |
| Return, last 365 days (Lighthorse, daily, hypothetical) | 0.99% | 2026-10-16 |
| Maximum drawdown since inception (Lighthorse, daily, hypothetical) | -28.64% | 2026-10-16 | |
| Maximum drawdown, last 365 days (Lighthorse, daily, hypothetical) | -22.67% | 2026-10-16 | |
| Maximum drawdown, strategy life (hypothetical model account) | -28.70% | 2026-10-19 | |
| Sharpe ratio since inception (Lighthorse, daily, hypothetical) | 0.47 | 2026-10-16 | |
| Sharpe ratio, last 365 days (Lighthorse, daily, hypothetical) | 0.06 | 2026-10-16 | |
| Sharpe ratio, strategy life (hypothetical model account) | 0.61 | 2026-10-19 | |
| Sortino ratio, last 365 days (Lighthorse, daily, hypothetical) | 0.08 | 2026-10-16 | |
| Sortino ratio, strategy life (hypothetical model account) | 0.91 | 2026-10-19 | |
| Volatility since inception (Lighthorse, daily, hypothetical) | 29.15% | 2026-10-16 | |
| Volatility, last 365 days (Lighthorse, daily, hypothetical) | 30.15% | 2026-10-16 |
| Average leverage | 1.27 | 2026-10-19 | |
| Maximum daily leverage | 3.01 | 2026-10-19 | |
| Number of trades | 4,607 | 2026-10-19 | |
| Percent of trades profitable | 60.49% | 2026-10-19 | |
| Profit factor | 1 | 2026-10-19 |
