Does the golden cross predict a rally?
No. Since 1995, US stocks on the day their 50-day average crossed above the 200-day beat the same day's median stock over the next month 50 times in 100, and over three months 48 times; a coin flip gives 50. The death cross fared no differently: 49 in 100. Neither relation clears the bar for a measurable edge, in either direction.
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: golden cross, does the golden cross work, golden cross backtest, death cross, 50 day 200 day moving average crossover, moving average crossover strategy·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
When a stock's 50-day moving average climbs above its 200-day average, chart readers call it a golden cross and take it as the start of an advance; the opposite crossing, the death cross, as the start of a decline. The rule is simple, widely repeated and printed on most charting screens. This study asks whether stocks that print a golden cross go on to beat other stocks, and whether stocks that print a death cross go 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 reads the result horizon by horizon and year by year.
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 |
|---|---|---|---|
| Golden cross | The 50-day moving average crosses above the 200-day, counted on the day it happens | Jan 4, 1995 | 1,328 |
| Death cross | The 50-day moving average crosses below the 200-day, counted on the day it happens | Jan 4, 1995 | 1,357 |
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 showing the reading are scored against the same day's median stock. A state counts on every Wednesday it holds; a cross or breakout counts only on the Wednesday it happens.
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 reads every horizon for both crosses. The golden cross beat the median stock 48 times in 100 over the next session, 49 over the next week, 50 over the next month and 48 over the next three months. The death cross, its bearish mirror, beat it 49, 49 and 51 times in 100 over the same week, month and quarter. None of the eight readings is a proven relation; all sit within a few points of a coin flip.
Share of stocks showing the reading that beat the same day's median stock, by horizon. The line at 50 is chance, the grey band the range chance alone produces; a filled square is a proven relation.
Each square is one calendar year; filled = a year in which the average stock showing the signal lagged the median stock over the next month. Years are counted, not shown in order.
A signal with an edge would fill most squares, or leave most empty.
Out of every 100 stocks that printed a golden cross, 50 beat the median stock over the following month (Figure 2). Out of every 100 that printed a death cross, 49 did. The two signals point in opposite directions and led to nearly the same outcome.
Both averages are built from past prices, so by the time the 50-day average crosses the 200-day the move that caused it has already happened. What follows is an ordinary month for an ordinary stock, which is what these numbers show.
4Robustness
Table 3 reads each cross horizon by horizon. The golden cross lagged the median stock in 14 of 32 years over the next month and led it in the rest; the death cross lagged in 23 of 32. No horizon and no direction holds steadily from year to year.
Share that beat the median stock, its t-statistic on non-overlapping dates, and the years in which it pointed the same way.
| Horizon | Beat the median | t | Years, same way |
|---|---|---|---|
| Golden cross, session | 48.4 | -2.3 | 22 / 32 |
| Golden cross, week | 49.4 | -0.7 | 20 / 32 |
| Golden cross, month | 49.7 | 0.8 | 14 / 32 |
| Golden cross, three months | 48.3 | -1.8 | 23 / 32 |
| Death cross, session | 48.9 | -1.4 | 21 / 32 |
| Death cross, week | 49.1 | -0.8 | 23 / 32 |
| Death cross, month | 49.0 | -1.9 | 23 / 32 |
| Death cross, three months | 50.5 | 1.0 | 14 / 32 |
5Limitations
- A cross is counted only when it happens on a Wednesday, the day the studies observe; crosses on other days are not in the sample, which leaves fewer events than a daily count would.
- 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
The golden cross describes a trend that has already happened. Measured on the same day against the same day's median stock, stocks that printed one did not go on to beat other stocks, and stocks that printed a death cross did not go on to trail them by a measurable margin. The crossing of two moving averages is a description of the past, not a forecast.
References
- Brock, W., Lakonishok, J. and LeBaron, B. (1992). Simple Technical Trading Rules and the Stochastic Properties of Stock Returns. Journal of Finance 47(5).
- Sullivan, R., Timmermann, A. and White, H. (1999). Data-Snooping, Technical Trading Rule Performance, and the Bootstrap. Journal of Finance 54(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
- Does the golden cross work?
- Not as a forecast. Since 1995, US stocks on the day of a golden cross beat the same day's median stock over the next month 50 times in 100, and over three months 48 times, against 50 for a coin flip. The relation is too weak to separate from chance.
- Does the death cross predict a fall?
- Not reliably. Stocks on the day of a death cross beat the median stock over the next month 49 times in 100: a little below a coin flip, and within the range chance alone produces.
- Why doesn't the golden cross work?
- Both averages are built from past prices, so by the time the 50-day average crosses the 200-day the move that caused it has already happened. What follows is an ordinary month for an ordinary stock, which is what these numbers show.
- How was the golden cross measured?
- Every Wednesday from Jan 4, 1995 to Aug 19, 2026, the stocks whose 50-day average crossed its 200-day average that day were 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). Does the golden cross predict a rally? Opulence Alpha Studies, Sep 25, 2026. https://opulencealpha.ai/studies/golden-cross
Research, not advice. A measured tendency across hundreds of stocks is a nudge for any one of them, never a forecast of its price.