Portfolios by year2018

The 20 best-performing stocks of 2018 according to reliable analysts

2 JPI methods (Fair / Risk +) · selected early January 2018, held 12 months · real return · top 20 out of ~1,500 stocks · Updated 2026-08-28
In short — in early 2018, the 2 JPI methods (based on the most reliable analysts, ≥2 who beat their sector) would each have selected 20 stocks out of ~1,500, held 12 months. Real results: 🎯 Fair +6% · ⚡ Risk+ +2% — vs -6% for the S&P 500. Best selection (Fair): GKOS (Glaukos Corp.) at +119%.

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 +6% · vs S&P 500 -6% · +12.6 pts

#Stock12-month return
1GKOS Glaukos Corp.+119%
2SPSC SPS Commerce, Inc.+70%
3XNCR Xencor Inc+65%
4BSX Boston Scientific+43%
5ALRM Alarm.Com, Inc.+37%
6STRA Strategic Education, Inc.+27%
7ADSK Autodesk+23%
8THC Tenet Health+13%
9BKH Black Hills Corporation+4%
10EXPE Expedia Group-6%
11SYNA Synaptics-7%
12KLIC Kulicke and Soffa Industries, Inc.-17%
13RCL Royal Caribbean Group-18%
14GM General Motors-18%
15MU Micron Technology-23%
16LRCX Lam Research-26%
17NVDA Nvidia-31%
18AMAT Applied Materials-36%
19EQT EQT Corporation-39%
20WDC Western Digital-53%

⚡ JPI Risk + +2% · vs S&P 500 -6% · +7.8 pts

#Stock12-month return
1GKOS Glaukos Corp.+119%
2SPSC SPS Commerce, Inc.+70%
3XNCR Xencor Inc+65%
4BSX Boston Scientific+43%
5ALRM Alarm.Com, Inc.+37%
6ADSK Autodesk+23%
7FE FirstEnergy+23%
8EXPE Expedia Group-6%
9SYNA Synaptics-7%
10KLIC Kulicke and Soffa Industries, Inc.-17%
11MCHP Microchip Technology-18%
12GM General Motors-18%
13MU Micron Technology-23%
14LRCX Lam Research-26%
15T AT&T-27%
16INCY Incyte-33%
17AMAT Applied Materials-36%
18EQT EQT Corporation-39%
19PCG PG&E Corporation-47%
20WDC Western Digital-53%

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

In short — not every year is positive: this is not a miracle method. 2018 shows it — the JPI Fair method returned +6%, better than the S&P 500 (-6%). But the method replays every year: in 2019, the 20 newly recommended stocks returned +43%. Outcome if you kept going (accept 2018, then buy the 2019 picks): +52% over 2 years — vs +21% for the S&P 500.
YearJPI FairS&P 500
2018+6%-6%
2019+43%+29%
2-year cumulative (if you kept going)+52%+21%

💡 The takeaway — 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.

💡 Read it honestly: one good year proves nothing — 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.

📊 See the full 11-year backtest → 🎯 Stocks to buy today →

📅← 2017 · All years · 2019 →

FAQ

What were the best stocks to buy in 2018?

Per the JPI Fair method (targets from the ≥2 most reliable analysts per sector), the 20 stocks selected in early 2018 returned +6.3% on average over 12 months, vs -6.3% for the index. The best was GKOS (Glaukos Corp.) at +119%. 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 +19.8%/yr vs +11.5% for the S&P 500 — +8.3 points a year, beating the index in 8 of 11 years. But it's lumpy (down years 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 — 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 → How it works: the method →

⚠️ 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. · Updated 2026-08-28
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