Collective2 · investment strategy
by Collective2
This strategy is a high risk index futures strategy attempting to make large returns using market timing learned from years of trading. This builds on my Leveraged ETF Trading system with over 75% winning trades at the time of this writing.
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.
No rules extracted from this strategy’s text yet.
No published holdings for this strategy.
Fitted to 252 returns (hypothetical) from 2025-10-29 to 2026-10-16. An estimate, not holdings: it can't name stocks.
· : 0.35 · Too loose a fit for a verdict; shown as a guide.
Beta to the S&P 500: 3.85 (90%: 2.33 to 5.07)
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.
Strategies that share its Futures label, from other sources first, strongest risk-adjusted return first.
Composer Technologies · Composer
Collective2
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.
4 missing
The text the rules are quoted from, with where it came from.
I use daily and intraday charts to decide when to trade typically ES and NQ futures. I may not make a trade every day but at times I may make make 1-6 trades per day. When you trade futures, you should be comfortable in losing significant portions of your position. They are risky. My goal is extreme capital appreciation using well timed market entries. I will use the strategies I have learned over more than 20 years of investing to attempt make this successful. THE PRICE OF THIS SYSTEM WILL GO UP TO $75 PER MONTH ON 1/1/2024
This strategy is a high risk index futures strategy attempting to make large returns using market timing learned from years of trading. This builds on my Leveraged ETF Trading system with over 75% winning trades at the time of this writing.
Every value on file, each labelled with its calculation basis and as-of date.
| Asset classes / instruments | futures | ||
| Leaderboard views (Collective2) | old_timers |
| Subscription price per month | $75 | ||
| Suggested minimum capital | $45k |
| Strategy age | 1,099 |
| Alpha vs S&P 500, strategy life (hypothetical model account) | 0.08 | 2026-10-16 | |
| Beta vs S&P 500, strategy life (hypothetical model account) | 0.80 | 2026-10-16 | |
| Correlation to S&P 500, strategy life (hypothetical model account) | 0.27 | 2026-10-16 |
| Annual return compounded, strategy life (hypothetical model account) | 60.70% | ||
| Annualized return since inception (Lighthorse, daily, hypothetical) | 43.03% | 2026-10-16 | |
| Monthly returns (hypothetical model account) | show{
"2023-Dec": 0.10114000000000001,
"2023-Nov": 0.22780999999999998,
"2023-Oct": 0.005540000000000001,
"2023-YTD": 0.35949,
"2024-Apr": -0.10329,
"2024-Aug": 0.00504,
"2024-Dec": -0.01266,
"2024-Feb": 0.07937999999999999,
"2024-Jan": 0.11408,
"2024-Jul": -0.10944000000000001,
"2024-Jun": 0.15078,
"2024-Mar": -0.01439,
"2024-May": 0.17422,
"2024-Nov": 0.05357,
"2024-Oct": -0.017929999999999998,
"2024-Sep": 0.06418,
"2024-YTD": 0.39741,
"2025-Apr": 0.08552,
"2025-Aug": -0.05978,
"2025-Dec": -0.02491,
"2025-Feb": -0.13506,
"2025-Jan": 0.02097,
"2025-Jul": 0.031190000000000002,
"2025-Jun": 0.1523,
"2025-Mar": -0.07801,
"2025-May": -0.04553,
"2025-Nov": 0.14292,
"2025-Oct": 0.13714,
"2025-Sep": 0.31628,
"2025-YTD": 0.57208,
"2026-Apr": -0.051680000000000004,
"2026-Aug": 0.26017,
"2026-Feb": -0.138,
"2026-Jan": -0.02357,
"2026-Jul": -0.13527,
"2026-Jun": 0.05268,
"2026-Mar": -0.18475999999999998,
"2026-May": 0.75457,
"2026-Oct": -0.295,
"2026-Sep": 0.08192,
"2026-YTD": 0
} | 2026-10-16 | |
| Return, 1 month (hypothetical model account) | 7.90% | ||
| Return, 3 months (hypothetical model account) | 26.51% | ||
| Return, 6 months (hypothetical model account) | 120.46% | ||
| Return, last 365 days (Lighthorse, daily, hypothetical) | 26.19% | 2026-10-16 |
| Maximum drawdown since inception (Lighthorse, daily, hypothetical) | -49.27% | 2026-10-16 | |
| Maximum drawdown, last 365 days (Lighthorse, daily, hypothetical) | -49.27% | 2026-10-16 | |
| Maximum drawdown, strategy life (hypothetical model account) | -52.80% | ||
| Sharpe ratio since inception (Lighthorse, daily, hypothetical) | 0.80 | 2026-10-16 | |
| Sharpe ratio, last 365 days (Lighthorse, daily, hypothetical) | 0.62 | 2026-10-16 | |
| Sharpe ratio, strategy life (hypothetical model account) | 1.08 | ||
| Sortino ratio, last 365 days (Lighthorse, daily, hypothetical) | 1.00 | 2026-10-16 | |
| Sortino ratio, strategy life (hypothetical model account) | 1.21 | 2026-10-16 | |
| Volatility since inception (Lighthorse, daily, hypothetical) | 59.19% | 2026-10-16 | |
| Volatility, last 365 days (Lighthorse, daily, hypothetical) | 80.06% | 2026-10-16 |
| Heart Attack Index (Collective2) | 29 |
| Average leverage | 3.76 | ||
| Average position time | 7,173 | ||
| Maximum daily leverage | 18.68 | 2026-10-16 | |
| Number of trades | 192 | 2026-10-16 | |
| Percent of trades profitable | 53.65% | ||
| Profit factor | 1.71 | ||
| Win:loss ratio | 1.71 |
Collective2
Collective2
