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JPI AI Analyst AI assistant Β· JPI Invest
Answers based on the tool's data Β· not financial advice Β· full analysis (free)
Portfolios by year β€Ί 2018

The 20 best stocks of 2018 according to reliable analysts

3 JPI methods (Light / Fair / Risk +) Β· selected early January 2018, held 12 months Β· real return Β· S&P 500 Β· Updated 2026-08-28
In short β€” in early 2018, the 3 JPI methods (based on the most reliable analysts, β‰₯2 who beat their sector) would each have selected 20 S&P 500 stocks, held 12 months. Real results: 🟒 Light β€” Β· 🎯 Fair -10% Β· ⚑ Risk+ -11% β€” vs -6% for the S&P 500. Best selection (Fair): BSX (Boston Scientific) at +43%.

These stocks were not cherry-picked in hindsight: they are the ones the method would have selected using only info known by end of 2017 (price targets from reliable analysts in the prior ~90 days), then held unchanged for 12 months. A true point-in-time record.

🎯 JPI Fair -10% · vs S&P 500 -6% · -3.2 pts

#Stock12-month return
1BSX Boston Scientific+43%
2NFLX Netflix+39%
3MRK Merck & Co.+36%
4ADSK Autodesk+23%
5BALL Ball Corporation+22%
6AVGO Broadcom-1%
7EXPE Expedia Group-6%
8CTSH Cognizant-11%
9RCL Royal Caribbean Group-18%
10MCHP Microchip Technology-18%
11GM General Motors-18%
12NCLH Norwegian Cruise Line Holdings-20%
13JCI Johnson Controls-22%
14MU Micron Technology-23%
15LRCX Lam Research-26%
16SWKS Skyworks Solutions-29%
17NVDA Nvidia-31%
18AMAT Applied Materials-36%
19EQT EQT Corporation-39%
20WDC Western Digital-54%

⚑ JPI Risk + -11% · vs S&P 500 -6% · -4.7 pts

#Stock12-month return
1BSX Boston Scientific+43%
2CRM Salesforce+34%
3ADSK Autodesk+23%
4FE FirstEnergy+23%
5BALL Ball Corporation+22%
6ELV Elevance Health+17%
7A Agilent Technologies+1%
8EXPE Expedia Group-6%
9MCHP Microchip Technology-18%
10GM General Motors-18%
11MU Micron Technology-23%
12MS Morgan Stanley-24%
13LRCX Lam Research-26%
14T AT&T-27%
15SWKS Skyworks Solutions-29%
16INCY Incyte-33%
17AMAT Applied Materials-36%
18EQT EQT Corporation-39%
19PCG PG&E Corporation-47%
20WDC Western Digital-54%

What if you'd kept following the method in 2019?

In short β€” not every year is positive: this is not a miracle method. 2018 shows it β€” the JPI Fair method returned -10%, worse than the S&P 500 (-6%). Many would have panicked and sold everything after 2018. But the method replays every year: in 2019, the 20 newly recommended stocks returned +31%. Outcome if you kept going (accept 2018, then buy the 2019 picks): +19% over 2 years β€” vs +21% for the S&P 500.
YearJPI FairS&P 500
2018-10%-6%
2019+31%+29%
2-year cumulative (if you kept going)+19%+21%

πŸ’‘ The takeaway β€” you have to accept the average or down years and stay in the method (sell, rebuy the newly recommended names). Whoever panics after a bad year misses the rebound. Discipline > emotion.

πŸ’‘ Read it honestly: one good year proves nothing β€” the method also has down years (2018, 2022). The real judge is the 11-year backtest. Price returns, excluding dividends and fees. Not a buy recommendation.

πŸ“Š See the full 11-year backtest β†’   🎯 Stocks to buy today β†’

πŸ“… ← 2017 Β· All years Β· 2019 β†’

FAQ

What were the best stocks to buy in 2018?

Per the JPI Fair method (targets from the β‰₯2 most reliable analysts per sector), the 20 S&P 500 stocks selected in early 2018 returned +-9.5% on average over 12 months, vs -6.3% for the index. The best was BSX (Boston Scientific) at +43%. See the full list above.

How were these 2018 stocks chosen?

With no hindsight: only from information known by end of 2017 (price targets from analysts with a real reliability track record on their sector), then held 12 months. A point-in-time backtest, not a hindsight pick.

Does this method actually work?

Over 11 years (2015-2025), the JPI Fair method returned +26%/yr vs +12.6% for the S&P 500 β€” double the market. But it's lumpy (drawdowns in 2018 and 2022) and risk-adjusted the edge is thinner. A quality signal, not a guarantee.

What is JPI Invest?

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 β€” on results, not reputation. Instead of taking a price target at face value, you see each analyst's track record on each stock.

Explore JPI Invest for free β†’ How it works: the method β†’

⚠️ Educational analysis, not investment advice. Point-in-time backtest on recomputed Yahoo data, universe = stocks still in the index (survivorship bias). Past performance does not predict the future.