Do stocks near their 52-week high keep outperforming?
No. Since 1995, the fifth of US stocks trading nearest their 52-week high beat the same day's median stock over the next three months 49 times in 100, and the fifth furthest below its high 49; a coin flip gives 50. The rank correlation between closeness to the high and the return that followed was -0.004: no measurable edge at any horizon from a session to three months.
The paper
The full study: its data, method, robustness, limits and sources.
Opulence Alpha Research · Published Sep 25, 2026 · Data through Aug 21, 2026
Keywords: 52-week high, stocks near 52-week high, 52-week high strategy, 52-week high effect, stocks at all-time highs, new highs momentum·JEL classification: G11, G12, G14, C12, C58
- Universe
- The same for every study: 1,767 US common stocks in the 11 GICS sectors, 422 of them since delisted; S&P 500 members since 1996 plus large and mid-sized companies outside the index
- Period
- Every Wednesday from Jan 4, 1995 to Aug 19, 2026: 1,634 Wednesdays across 7,959 trading sessions
- Sample
- n = 1,763 stocks of the 1,767-stock universe; 1,889,758 stock-weeks, a median of 1,148 stocks per Wednesday
- Outcome
- Return over the next 1, 5, 21 and 63 trading sessions against the same day's median stock
- Inference
- t on non-overlapping dates; proven only when |t| ≥ 3 and the same sign in at least 60% of years
1Introduction
For many traders a stock near its 52-week high is a stock with momentum and no overhead resistance: its holders are in profit, and new highs draw attention and new money. Others hold the opposite view, that such stocks are stretched. George and Hwang (2004) found that nearness to the 52-week high predicted returns in earlier US data. This study asks whether, in this universe, the stocks trading nearest their 52-week high went on to beat other stocks, and whether those furthest below it went on to trail them.
2Data and method
2.1Sample design
Population and frame. The population is US common stocks listed on the NYSE and Nasdaq; funds, ETFs, trusts, preferred shares, warrants and units are excluded. The sampling frame is a fixed universe of 1,767 companies, drawn once when the platform was built and not re-sampled since, in two strata. Stratum 1 is a census of the S&P 500: every company in the index at any time since 1996 whose price history could be recovered, 1,027 companies of which 413 have since delisted; it holds 76% of the index's members in 1996 and at least 96% in every year from 2010. Stratum 2 is 740 large and mid-sized companies outside the index, selected in proportion to the market's sector weights from the stocks that passed a minimum share price of $15 and a minimum average daily trading value of $25 million; 9 of them have since delisted.
Sample. The unit of observation is a stock-week: one stock on one Wednesday. A stock enters a Wednesday's cross-section when it has a valid close that day, a value of the signal and a measured outcome; bars flagged as bad data and returns that cross a change of issuer are left out. This study's sample is n = 1,763 stocks of the 1,767: 1,889,758 stock-weeks on 1,634 Wednesdays from Jan 4, 1995 to Aug 19, 2026, a median of 1,148 stocks per Wednesday (range 820 to 1,371). 331,954 stock-weeks (17.6%) come from the 422 companies that have since delisted. Every stock and every Wednesday carries equal weight.
Representativeness. Table 1 gives the sample by GICS sector beside the S&P Composite 1500: 7.9% of companies would have to change sector for the two to match exactly. By latest market value, 55% of the active companies are large (at least $10bn), 38% mid ($2–10bn) and 6% small. Because Stratum 2 was chosen from companies listed at construction, its history carries survivorship bias. Section 4 repeats the lead result among the stocks that were S&P 500 members on each date, the part of the sample largely free of that bias.
Companies in this study's sample, of them those since delisted, the size of the active companies, the sample's share of stock-weeks and the sector's share of the S&P Composite 1500.
| Sector | Sample | Delisted | Large | Mid | Small | Stock-weeks | S&P 1500 |
|---|---|---|---|---|---|---|---|
| Information Technology | 282 | 67 | 122 | 76 | 18 | 13.9% | 12.7% |
| Financials | 256 | 60 | 114 | 74 | 8 | 14.6% | 17.2% |
| Industrials | 255 | 53 | 126 | 67 | 11 | 15.9% | 17.5% |
| Health Care | 237 | 47 | 92 | 81 | 16 | 12.4% | 10.9% |
| Consumer Discretionary | 209 | 39 | 69 | 87 | 12 | 12.3% | 12.9% |
| Energy | 105 | 30 | 39 | 31 | 5 | 5.9% | 4.7% |
| Consumer Staples | 101 | 38 | 40 | 17 | 5 | 5.9% | 4.9% |
| Materials | 94 | 34 | 35 | 24 | 2 | 5.6% | 5.1% |
| Real Estate | 84 | 10 | 40 | 32 | 2 | 5.7% | 6.9% |
| Communication Services | 80 | 31 | 28 | 13 | 5 | 3.9% | 3.3% |
| Utilities | 60 | 13 | 35 | 12 | 0 | 4% | 4% |
| All sectors | 1,763 | 422 | 740 | 514 | 84 | 100% | 100% |
Sample: n = 1,763 of the 1,767 companies. Size by latest market value for the 1,338 active companies with one: large ≥ $10bn, mid $2–10bn, small < $2bn. S&P 1500 shares count the constituents of the S&P 500, MidCap 400 and SmallCap 600 (1,506 companies, lists read Sep 25, 2026). Sectors are each company's current GICS sector.
2.2Signals
| Signal | Definition | Since | Wednesdays |
|---|---|---|---|
| Distance from the 52-week high | How far the close sits below the highest price of the last 252 sessions, in percent; zero at the high | Jan 4, 1995 | 1,634 |
2.3Measurement
Outcome. The return from the close on the Wednesday to the close 1, 5, 21 and 63 trading sessions later, on closes adjusted for splits and dividends, compared with the same day's median stock; half of all stocks beat the median by construction, so chance is 50 in 100 on every date. No delisting return is added.
Each Wednesday the stocks are ranked on the signal. The study reports how often each fifth of that ranking beat the median stock, and the rank correlation (IC) between the signal and the return that followed.
The t-statistic uses non-overlapping dates only. A result is called proven when |t| is at least 3, it held in at least 60% of years and it is large enough to matter; with 1,470 tests across the studies, a looser bar would pass dozens by luck.
Full data and methods3Results
Figure 1 cuts the stocks into fifths every Wednesday by how far each trades below its 52-week high; the highest fifth sits nearest the high. Over the next three months that fifth beat the median stock 49 times in 100, and the lowest fifth, furthest below its high, 49. Neither end of the ranking did better than its middle.
Share of each fifth that beat the same day’s median stock. Colour only where the relation is proven.
Next three months.
Next week, three-session return against the industry; the same way in 32 of 32 years.
Rank correlation between the signal and the return that followed, with its 95% interval. An interval that crosses zero is no relation.
Rank correlation inside each GICS sector over the next three months, stocks ranked only against their own sector. Colour only where |t| ≥ 2.
Figure 2 reads the rank correlation between closeness to the high and the return that followed, horizon by horizon. At three months it was -0.004 (t -0.4), and it stays close to zero from the next session on. Where a stock stood against its 52-week high said nothing measurable about how it went on to do against other stocks.
4Robustness
Table 3 re-measures the three-month relation: -0.004 (t -0.4) over the whole sample and -0.006 (t -0.5) among S&P 500 members on the date. It kept its overall sign in 7 of 11 sectors and in 1 of the three decades, and the fifth nearest its high trailed the fifth furthest from it in only 12 of 32 years, leading it in the rest. No subset turns it into a measurable edge.
Rank IC and its t-statistic on non-overlapping dates.
| Sample | IC | t | Wednesdays |
|---|---|---|---|
| Distance from the 52-week high, next three months | |||
| All stocks, whole period | -0.0037 | -0.4 | 1,621 |
| By decade: 1995–2004 | 0.0018 | -0.5 | 516 |
| By decade: 2005–2014 | -0.0215 | -1.0 | 518 |
| By decade: 2015– | 0.0071 | 0.4 | 587 |
| S&P 500 members on the date | -0.0063 | -0.5 | 1,569 |
| Sectors with the overall sign | 7 / 11 |
5Limitations
- Outcomes are measured up to three months ahead. Studies of the 52-week-high effect often measure returns over six months or longer, which this study does not.
- Before costs. Averages exclude trading costs, taxes and market impact.
- Same-close timing. Returns start at the close the signal is computed from; a real trade would start later.
- Survivors among smaller companies. The non-index names were chosen from companies listed when the universe was built; no delisting returns are added.
6Conclusion
Trading near a 52-week high describes where a stock has been. Measured against the same day's median stock, the stocks nearest their high did not go on to beat other stocks over the next three months, and the stocks furthest below it did not go on to trail them by a measurable margin. In this universe since 1995, distance from the high, on its own, carried no measurable information about what came next.
References
- George, T. J. and Hwang, C.-Y. (2004). The 52-Week High and Momentum Investing. Journal of Finance 59(5).
- Benjamini, Y. and Hochberg, Y. (1995). Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society, Series B 57(1).
- Grinold, R. C. and Kahn, R. N. (2000). Active Portfolio Management, 2nd ed. McGraw-Hill.
- Harvey, C. R., Liu, Y. and Zhu, H. (2016). … and the Cross-Section of Expected Returns. Review of Financial Studies 29(1).
- Shumway, T. (1997). The Delisting Bias in CRSP Data. Journal of Finance 52(1).
Appendix A. Questions readers ask
- Do stocks near their 52-week high keep rising?
- Not measurably faster than other stocks. Since 1995, the fifth of US stocks trading nearest their 52-week high beat the same day's median stock over the next three months 49 times in 100, against 50 for a coin flip.
- Do stocks far below their 52-week high do worse?
- Not measurably either. The fifth of stocks furthest below their 52-week high beat the median stock over the next three months 49 times in 100. Distance from the high, on its own, did not separate the stocks that went on to lead from those that went on to lag.
- What about the 52-week-high effect in academic research?
- George and Hwang (2004) reported that US stocks near their 52-week high went on to outperform stocks far from it in earlier decades. In this universe since 1995, ranked each Wednesday and measured up to three months ahead, the relation was -0.004: no measurable edge. The two results differ in period, universe and holding time.
- How was closeness to the 52-week high measured?
- Every Wednesday from Jan 4, 1995 to Aug 19, 2026, each stock's close was compared with its highest price of the previous 252 sessions; the stocks were ranked into fifths on that distance and compared with the same day's median stock over the next 1, 5, 21 and 63 trading sessions, on the same universe of 1,767 US stocks every study uses.
Data availability and citation
Every figure in this paper is quoted from one frozen snapshot, published as JSON with the sample description, the robustness results and the test counts. The same snapshot feeds the research console, so the two cannot disagree.
Opulence Alpha Research (2026). Do stocks near their 52-week high keep outperforming? Opulence Alpha Studies, Sep 25, 2026. https://opulencealpha.ai/studies/near-52-week-high
Research, not advice. A measured tendency across hundreds of stocks is a nudge for any one of them, never a forecast of its price.