{"id":12,"date":"2026-09-08T16:41:53","date_gmt":"2026-09-08T16:41:53","guid":{"rendered":"https:\/\/quant.avalonquant.com\/2026\/09\/most-investors-get-fifty-two-week-high.html"},"modified":"2026-10-16T16:20:27","modified_gmt":"2026-10-16T07:20:27","slug":"most-investors-get-fifty-two-week-high","status":"publish","type":"post","link":"https:\/\/avalonquant.com\/blog\/2026\/09\/most-investors-get-fifty-two-week-high.html","title":{"rendered":"Most Investors Get The Fifty-Two Week High Leaderboard Wrong"},"content":{"rendered":"<p>Investors often assume that momentum strategies tracking 52-week highs in leveraged instruments guarantee benchmark outperformance, but compounding decay and defensive exit lag frequently erode those gains. In this historical simulation, the strategy produced a 14.9% annualized return alongside a severe -34.5% maximum drawdown. Evaluating this system requires weighing its automated cash-preservation rules against the substantial friction inherent in trading high-beta leveraged products.<\/p>\n\n<div style=\"background:#0D1117;color:#E6EDF3;border-left:4px solid #00D4FF;padding:1.2em 1.5em;margin:1.5em 0;border-radius:4px;font-family:monospace\">\n<strong style=\"color:#00D4FF\">If you&#8217;d put in $10,000, it would now be $39,651.<\/strong><br><br>\n\ud83d\udcc8 Yearly return (CAGR): <strong>14.9%<\/strong><br>\n\ud83d\udcc9 Worst drop (max drawdown): <strong>-34.5%<\/strong><br>\n\u26a1 Sharpe Ratio: <strong>0.71<\/strong><br>\n\ud83d\udcb0 Total Return: <strong>296.5%<\/strong><br>\n\ud83c\udd9a S&#038;P 500 (SPY) over the same period: <strong>315.6%<\/strong> \u2014 this strategy underperformed by <strong>19.1 points<\/strong><br>\ud83c\udfaf Universe: <strong>US leveraged index ETFs, defensive assets and cash-like funds<\/strong>\n<\/div>\n\n<table style=\"width:100%;border-collapse:collapse;margin:1.5em 0;font-size:0.95em\">\n<thead><tr style=\"background:#0D1117;color:#00D4FF\">\n<th style=\"padding:0.6em;border:1px solid #2a2f36;text-align:left\">Metric<\/th>\n<th style=\"padding:0.6em;border:1px solid #2a2f36;text-align:right\">The Fifty-Two Week High Leaderboard<\/th>\n<th style=\"padding:0.6em;border:1px solid #2a2f36;text-align:right\">S&amp;P 500 (SPY)<\/th>\n<\/tr><\/thead>\n<tbody>\n<tr><td style=\"padding:0.6em;border:1px solid #e8e8e8\">Total return<\/td>\n<td style=\"padding:0.6em;border:1px solid #e8e8e8;text-align:right\"><strong>296.5%<\/strong><\/td>\n<td style=\"padding:0.6em;border:1px solid #e8e8e8;text-align:right\">315.6%<\/td><\/tr>\n<tr><td style=\"padding:0.6em;border:1px solid #e8e8e8\">Worst drop (max drawdown)<\/td>\n<td style=\"padding:0.6em;border:1px solid #e8e8e8;text-align:right\"><strong>-34.5%<\/strong><\/td>\n<td style=\"padding:0.6em;border:1px solid #e8e8e8;text-align:right\">-33.7%<\/td><\/tr>\n<tr><td style=\"padding:0.6em;border:1px solid #e8e8e8\">Period measured<\/td>\n<td style=\"padding:0.6em;border:1px solid #e8e8e8;text-align:right\" colspan=\"2\">2016-09-27 \u2013 2026-09-08<\/td><\/tr>\n<\/tbody><\/table>\n<p style=\"font-size:0.9em;color:#666;margin-top:-0.8em\">Both columns come from the same backtest run\nover the identical period. A higher return with a deeper drawdown is not automatically better.<\/p>\n<div style=\"overflow-x:auto;margin:1.5em 0\"><table style=\"width:100%;border-collapse:collapse;font-size:0.9em\"><thead><tr style=\"background:#0D1117;color:#00D4FF\"><th style=\"padding:0.45em 0.6em;border:1px solid #2a2f36;text-align:right\">2016<\/th><th style=\"padding:0.45em 0.6em;border:1px solid #2a2f36;text-align:right\">2017<\/th><th style=\"padding:0.45em 0.6em;border:1px solid #2a2f36;text-align:right\">2018<\/th><th style=\"padding:0.45em 0.6em;border:1px solid #2a2f36;text-align:right\">2019<\/th><th style=\"padding:0.45em 0.6em;border:1px solid #2a2f36;text-align:right\">2020<\/th><th style=\"padding:0.45em 0.6em;border:1px solid #2a2f36;text-align:right\">2021<\/th><th style=\"padding:0.45em 0.6em;border:1px solid #2a2f36;text-align:right\">2022<\/th><th style=\"padding:0.45em 0.6em;border:1px solid #2a2f36;text-align:right\">2023<\/th><th style=\"padding:0.45em 0.6em;border:1px solid #2a2f36;text-align:right\">2024<\/th><th style=\"padding:0.45em 0.6em;border:1px solid #2a2f36;text-align:right\">2025<\/th><th style=\"padding:0.45em 0.6em;border:1px solid #2a2f36;text-align:right\">2026<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;text-align:right;color:#b3261e\">-1.0%<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;text-align:right;color:#0a7d28\">+72.9%<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;text-align:right;color:#0a7d28\">+7.5%<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;text-align:right;color:#0a7d28\">+16.5%<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;text-align:right;color:#0a7d28\">+17.6%<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;text-align:right;color:#0a7d28\">+7.7%<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;text-align:right;color:#b3261e\">-9.8%<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;text-align:right;color:#0a7d28\">+12.3%<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;text-align:right;color:#0a7d28\">+31.7%<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;text-align:right;color:#0a7d28\">+17.5%<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;text-align:right;color:#b3261e\">-6.9%<\/td><\/tr><\/tbody><\/table><\/div>\n<div style=\"background:#f6f8fa;border:1px solid #e1e4e8;border-radius:6px;padding:1em 1.4em;margin:1.5em 0\"><strong style=\"display:block;margin-bottom:0.4em\">In this article<\/strong><ol style=\"margin:0;padding-left:1.2em;line-height:1.8\"><li><a href=\"#how-the-rule-works\">How the Rule Works<\/a><\/li><li><a href=\"#why-it-can-beat-or-lose-to-the-index\">Why It Can Beat or Lose to the Index<\/a><\/li><li><a href=\"#where-it-hurts\">Where It Hurts<\/a><\/li><li><a href=\"#who-this-fits\">Who This Fits<\/a><\/li><li><a href=\"#faq\">Frequently Asked Questions<\/a><\/li><\/ol><\/div>\n<div style=\"margin:2.5em 0;padding-top:1.2em;border-top:2px solid #e8e8e8\"><h2 id=\"how-the-rule-works\">How the Rule Works<\/h2><p>Every week, the strategy ranks a basket of leveraged index ETFs by how strongly and steadily they are trading near their highs, favouring persistent upward momentum over erratic spikes. Capital rotates into the highest-ranking funds on a fixed schedule, without discretionary intervention. A market-trend safety gate decides whether any risk is taken at all: when the broad market trend weakens, the portfolio moves to a cash-like fund, and daily stop rules limit losses between rebalances. The exact rules and parameters are not published.<\/p><\/div><div style=\"margin:2.5em 0;padding-top:1.2em;border-top:2px solid #e8e8e8\"><h2 id=\"why-it-can-beat-or-lose-to-the-index\">Why It Can Beat or Lose to the Index<\/h2><p>Over the evaluated period, the strategy did not beat the S&#038;P 500, delivering a 296.5% total return that trailed the benchmark&#8217;s 315.6% return by 19.1 percentage points while taking on a slightly worse drawdown (-34.5% versus -33.7%). Leveraged exchange-traded funds suffer severe volatility drag and compounding decay during choppy or sideways regimes, destroying capital faster than unleveraged equity baskets. Additionally, the moving-average safety gate inherently lags market inflection points, exiting after drops have already begun and missing the sharpest initial phases of market rebounds.<\/p><\/div><div style=\"margin:2.5em 0;padding-top:1.2em;border-top:2px solid #e8e8e8\"><h2 id=\"where-it-hurts\">Where It Hurts<\/h2><p>The aggregate return conceals severe path dependency, characterized by eight profitable years offset by three punishing negative years. Enduring a 34.5% peak-to-trough collapse requires an asset to generate a 52.7% rebound just to reach breakeven, which is especially grueling when holding volatile 3x products through whipsawing trend changes. The psychological strain of trailing a passive index during strong bull markets while enduring sudden, sharp cash-rotation triggers presents a formidable barrier to disciplined execution.<\/p><\/div><div style=\"margin:2.5em 0;padding-top:1.2em;border-top:2px solid #e8e8e8\"><h2 id=\"who-this-fits\">Who This Fits<\/h2><p>This profile carries a firm high-risk classification, making it suitable only for aggressive quantitative investors who can tolerate deep drawdowns and pronounced tracking error against standard benchmarks. Allocators must size positions conservatively to survive historic drawdown regimes rather than treating the model as a core portfolio replacement. Successful deployment demands complete automation, as any discretionary second-guessing during steep equity drawdowns undermines the systematic risk filter.<\/p><\/div>\n<div style=\"margin:2.5em 0;padding-top:1.2em;border-top:2px solid #e8e8e8\"><h2 id=\"faq\">Frequently Asked Questions<\/h2><div style=\"margin:1.2em 0\"><h3 style=\"margin-bottom:0.3em\">How risky is this strategy?<\/h3><p style=\"margin-top:0\">The strategy carries high risk due to concentrated exposure to 3x leveraged ETFs, historically realizing a deep -34.5% maximum drawdown and three full negative years.<\/p><\/div><div style=\"margin:1.2em 0\"><h3 style=\"margin-bottom:0.3em\">Can this strategy be traded today?<\/h3><p style=\"margin-top:0\">Yes, it can be traded using publicly listed leveraged ETFs and ultra-short cash proxies, provided you follow the mechanical weekly ranking and safety-gate rules without discretionary deviation.<\/p><\/div><div style=\"margin:1.2em 0\"><h3 style=\"margin-bottom:0.3em\">What does the backtest assume?<\/h3><p style=\"margin-top:0\">The backtest assumes frictionless weekly rebalancing, zero execution slippage, instantaneous liquidity across all listed instruments, and no transaction costs or tax drag.<\/p><\/div><\/div><script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"FAQPage\", \"mainEntity\": [{\"@type\": \"Question\", \"name\": \"How risky is this strategy?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"The strategy carries high risk due to concentrated exposure to 3x leveraged ETFs, historically realizing a deep -34.5% maximum drawdown and three full negative years.\"}}, {\"@type\": \"Question\", \"name\": \"Can this strategy be traded today?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Yes, it can be traded using publicly listed leveraged ETFs and ultra-short cash proxies, provided you follow the mechanical weekly ranking and safety-gate rules without discretionary deviation.\"}}, {\"@type\": \"Question\", \"name\": \"What does the backtest assume?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"The backtest assumes frictionless weekly rebalancing, zero execution slippage, instantaneous liquidity across all listed instruments, and no transaction costs or tax drag.\"}}]}<\/script>\n<table style=\"width:100%;border-collapse:collapse;margin:1.5em 0 0.6em;font-size:0.92em\"><tbody><tr><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;color:#555\">Period<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8\"><strong>2016-09-27 \u2013 2026-09-08<\/strong><\/td><\/tr><tr><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;color:#555\">Universe<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8\">US leveraged index ETFs, defensive assets and cash-like funds<\/td><\/tr><tr><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;color:#555\">Years with a gain<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8\"><strong>8 of 11<\/strong><\/td><\/tr><tr><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8;color:#555\">Price data<\/td><td style=\"padding:0.45em 0.6em;border:1px solid #e8e8e8\"><strong>FinanceDataReader daily bars<\/strong><\/td><\/tr><\/tbody><\/table><p style=\"font-size:0.88em;color:#666;margin:0 0 1.5em\"><strong>What this does not prove.<\/strong> No out-of-sample split and no parameter-sensitivity test were run, so these figures may be flattered by hindsight. Signals are computed only from bars that closed before the session they trade. Full assumptions, including which integrity checks are unverified: <a href=\"https:\/\/avalonquant.com\/en\/methodology?src=quant_blog\" target=\"_blank\">avalonquant.com\/methodology<\/a>.<\/p>\n<div style=\"margin:2.5em 0;padding-top:1.2em;border-top:2px solid #e8e8e8\"><h2>More Backtests<\/h2><ul><li><a href=\"https:\/\/avalonquant.com\/blog\/2026\/08\/the-velocity-strength-filter-274-mdd.html\" target=\"_blank\">The Velocity Strength Filter: -27.5% MDD Before 17.6% CAGR | High Risk<\/a><\/li><\/ul><\/div>\n\n<div style=\"background:#0D1117;color:#E6EDF3;border-radius:10px;padding:1.1em 1.4em;margin:2em 0;text-align:center\"><p style=\"margin:0 0 0.9em;font-size:1.02em\">\ud83d\udcca <strong>A new strategy backtested every day<\/strong> \u2014 the numbers, the drawdown, and what breaks it.<\/p><a href=\"https:\/\/www.youtube.com\/channel\/UC6Y-O1rb70iFgCNBbhxCrrA?sub_confirmation=1\" target=\"_blank\" rel=\"noopener\" style=\"display:inline-block;background:#FF0000;color:#ffffff;text-decoration:none;font-weight:bold;padding:0.7em 1.6em;border-radius:6px;font-size:1.02em\">&#x25B6; Subscribe to Avalon Quant<\/a><\/div><hr><p>&#x26A0;\ufe0f <em>Not financial advice. This is for educational purposes only. These results come from a historical backtest \u2014 past performance does not guarantee future results. Always do your own research before investing.<\/em><\/p><p>\ud83d\udcca Live strategy performance and daily quant briefings: <a href=\"https:\/\/avalonquant.com\/en?src=quant_blog\" target=\"_blank\">avalonquant.com<\/a><\/p><p>\ud83d\udcc4 Original paper: The 52-Week High and Momentum Investing<\/p>\n\n<!-- avalonquant-cta:v1 --><div style=\"margin:2.5em 0;padding:1.2em 1.5em;border:1px solid #2a2f36;border-radius:8px;background:#0D1117;color:#E6EDF3\"><p style=\"margin:0 0 .6em;font-weight:700;color:#00D4FF\">Go further on AvalonQuant<\/p><ul style=\"margin:0;padding-left:1.2em;line-height:1.7\"><li><a href=\"https:\/\/avalonquant.com\/en\/strategies\/fifty-two-week-high-leaderboard?utm_source=quant_blog&#038;utm_medium=post_cta&#038;utm_campaign=post_12\"><strong>Fifty-Two Week High Leaderboard: re-run backtest<\/strong><\/a> \u2014 equity curve, max drawdown -34.5%, CAGR 15.8% (2016\u20132026), and how it ranks by drawdown.<\/li><li><a href=\"https:\/\/avalonquant.com\/en\/strategies?utm_source=quant_blog&#038;utm_medium=post_cta&#038;utm_campaign=post_12\"><strong>All strategy backtests<\/strong><\/a> \u2014 every strategy we re-ran, with equity curves and drawdowns side by side.<\/li><\/ul><p style=\"margin:.6em 0 0;font-size:.85em;color:#8b949e\">Backtests are hypothetical and do not guarantee future results. Not investment advice.<\/p><\/div><!-- \/avalonquant-cta:v1 -->\n","protected":false},"excerpt":{"rendered":"<p>Investors often assume that momentum strategies tracking 52-week highs in leveraged instruments guarantee benchmark outperformance, but compounding decay and defensive exit lag frequently erode those gains. In this historical simulation, the strategy produced a 14.9% annualized return alongside a severe [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15],"tags":[2,3,4,5,6,7],"class_list":["post-12","post","type-post","status-publish","format-standard","hentry","category-etf-stock-backtest","tag-backtest","tag-etf","tag-investing","tag-quant","tag-stock-backtest","tag-strategy"],"blogger_post_id":"1257250611519889494","_links":{"self":[{"href":"https:\/\/avalonquant.com\/blog\/wp-json\/wp\/v2\/posts\/12","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/avalonquant.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/avalonquant.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/avalonquant.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/avalonquant.com\/blog\/wp-json\/wp\/v2\/comments?post=12"}],"version-history":[{"count":10,"href":"https:\/\/avalonquant.com\/blog\/wp-json\/wp\/v2\/posts\/12\/revisions"}],"predecessor-version":[{"id":531,"href":"https:\/\/avalonquant.com\/blog\/wp-json\/wp\/v2\/posts\/12\/revisions\/531"}],"wp:attachment":[{"href":"https:\/\/avalonquant.com\/blog\/wp-json\/wp\/v2\/media?parent=12"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/avalonquant.com\/blog\/wp-json\/wp\/v2\/categories?post=12"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/avalonquant.com\/blog\/wp-json\/wp\/v2\/tags?post=12"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}