Below is the 12-month entry ranking (JPI Fair method, S&P 500, 2015-2024) — March is highlighted — then the year-by-year detail for buying in early March.
| # | Month | Return / yr | Ratio | $1,000 becomes (10y) | S&P 500 comparison |
|---|---|---|---|---|---|
| 1 | November | +25% | 1.32 | $8,272 | +13.7% |
| 2 | January | +24.4% | 0.83 | $6,705 | +12.2% |
| 3 | December | +23.1% | 1.14 | $7,013 | +13.2% |
| 4 | February | +20% | 0.97 | $5,275 | +12.4% |
| 5 | October | +18.7% | 1.22 | $5,042 | +14.1% |
| 6 | March | +17.3% | 0.82 | $4,168 | +11.7% |
| 7 | May | +16.9% | 0.83 | $4,144 | +11% |
| 8 | June | +16.1% | 0.81 | $3,855 | +11.4% |
| 9 | April | +15.7% | 0.53 | $3,241 | +11.7% |
| 10 | September | +15.5% | 1.14 | $3,937 | +13.2% |
| 11 | July | +14.9% | 0.71 | $3,372 | +12.3% |
| 12 | August | +14.1% | 1.11 | $3,530 | +12.1% |
| Year | Return (buy early March) |
|---|---|
| 2026 ⏳ | +22.5% (in progress) |
| 2025 | +103.9% |
| 2024 | +9.4% |
| 2023 | +47.4% |
| 2022 | -13% |
| 2021 | +17% |
| 2020 | +35.9% |
| 2019 | -2.5% |
| 2018 | +10.9% |
| 2017 | +27.1% |
| 2016 | +49.4% |
| 2015 | -9% |
📊 Interactive version — March, 3 universes, filters →
Over 2015-2024, buying in early March (JPI Fair method, S&P 500) returned +17.3%/yr on average, the 6th best of the 12 months. But 10 years is little: it's a tendency, not a guarantee, and the entry month matters less than staying invested.
On average over 2015-2024, $1000 invested in early March each year (12-month hold, JPI Fair method) would have become about $4168, versus the S&P 500 index on the same basis.
In our 2015-2024 ranking, November comes first. March is the 6th best. See the full 12-month ranking above.
JPI Invest aggregates analyst recommendations across the entire S&P 500 (plus the S&P MidCap 400), replays them against real prices and measures who predicts best — on results, not reputation. Instead of taking a price target at face value, you see each analyst's track record on each stock.
⚠️ Educational analysis, not investment advice. Point-in-time backtest on recomputed Yahoo data, short sample. Past performance does not predict the future.