Portfolios by year2017

The 20 best-performing stocks of 2017 according to reliable analysts

2 JPI methods (Fair / Risk +) · selected early January 2017, held 12 months · real return · top 20 out of ~1,500 stocks · Updated 2026-08-28
In short — in early 2017, 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 +17% · ⚡ Risk+ +31% — vs +19% for the S&P 500. Best selection (Fair): CNC (Centene Corporation) at +79%.

These stocks were not cherry-picked in hindsight: they are the ones the method would have selected using only info known by end of 2016 (price targets from reliable analysts in the prior ~90 days), then held unchanged for 12 months. A true point-in-time record.

🎯 JPI Fair +17% · vs S&P 500 +19% · -2.4 pts

#Stock12-month return
1CNC Centene Corporation+79%
2TOL Toll Brothers+55%
3GPN Global Payments+44%
4MSFT Microsoft+38%
5ASH Ashland Global+33%
6INTC Intel+27%
7OXM Oxford Industries, Inc.+25%
8PM Philip Morris International+16%
9DAL Delta Air Lines+14%
10MDT Medtronic+13%
11TDG TransDigm Group+10%
12HBAN Huntington Bancshares+10%
13NUE Nucor+7%
14HPE Hewlett Packard Enterprise+7%
15GNTX Gentex+6%
16CVLT CommVault Systems+2%
17GILD Gilead Sciences+0%
18THRM Gentherm Incorporated-6%
19CVS CVS Health-8%
20MATW Matthews International Corporation-31%

⚡ JPI Risk + +31% · vs S&P 500 +19% · +11.8 pts

#Stock12-month return
1VRTX Vertex Pharmaceuticals+103%
2MU Micron Technology+88%
3CNC Centene Corporation+79%
4NTAP NetApp+57%
5TOL Toll Brothers+55%
6CRM Salesforce+49%
7GPN Global Payments+44%
8MNST Monster Beverage+43%
9DLTR Dollar Tree+39%
10OXM Oxford Industries, Inc.+25%
11DD DuPont+25%
12BSX Boston Scientific+15%
13TDG TransDigm Group+10%
14NEM Newmont+10%
15HRL Hormel Foods+5%
16CVLT CommVault Systems+2%
17GILD Gilead Sciences+0%
18UAL United Airlines Holdings-7%
19JCI Johnson Controls-7%
20CVS CVS Health-8%

What if you'd kept following the method in 2018?

In short — not every year is positive: this is not a miracle method. 2017 shows it — the JPI Fair method returned +17%, better than the S&P 500 (+19%). But the method replays every year: in 2018, the 20 newly recommended stocks returned +6%. Outcome if you kept going (accept 2017, then buy the 2018 picks): +24% over 2 years — vs +12% for the S&P 500.
YearJPI FairS&P 500
2017+17%+19%
2018+6%-6%
2-year cumulative (if you kept going)+24%+12%

💡 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 →

📅← 2016 · All years · 2018 →

FAQ

What were the best stocks to buy in 2017?

Per the JPI Fair method (targets from the ≥2 most reliable analysts per sector), the 20 stocks selected in early 2017 returned +17.0% on average over 12 months, vs 19.4% for the index. The best was CNC (Centene Corporation) at +79%. See the full list above.

How were these 2017 stocks chosen?

With no hindsight: only from information known by end of 2016 (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
JPI AI Analyst AI assistant · JPI Invest
Answers based on the tool’s data · not financial advice · full version (free)