{"id":14254,"date":"2026-05-27T07:39:57","date_gmt":"2026-05-27T07:39:57","guid":{"rendered":"https:\/\/lemonn.co.in\/blog\/glossary\/mean-reversion-strategy\/"},"modified":"2026-05-27T07:39:57","modified_gmt":"2026-05-27T07:39:57","slug":"mean-reversion-strategy","status":"publish","type":"glossary","link":"https:\/\/lemonn.co.in\/blog\/glossary\/mean-reversion-strategy\/","title":{"rendered":"Mean Reversion Strategy"},"content":{"rendered":"

Mean reversi<\/a>on is a trading<\/a> strategy based on the principle that asset prices tend to return to their historical average (mean) over time. When a stock or index<\/a> moves significantly above its mean, mean reversion traders expect it to fall back, and vice versa. This contrarian approach works well in range-bound or consolidating markets.<\/p>\n

What Is Mean Reversion?<\/h2>\n

Mean reversion assumes that extreme price movements are temporary deviations from a stable long-term average. The mean could be:
\n– A simple moving average (e.g., 50-day or 200-day MA)
\n– A statistical mean calculated over a defined lookback period
\n– A fundamental value derived from earnings or book value<\/a><\/p>\n

When the price deviates significantly from this mean, the probability of a reversal increases.<\/p>\n

Indicators Used in Mean Reversion Trading<\/h2>\n

**Bollinger Bands<\/a>**: price bands set 2 standard deviations above and below a moving average. When the price touches the upper band, it is extended; when it touches the lower band, it is oversold. Traders take the opposite position expecting reversion.<\/p>\n

**RSI (Relative Strength Index)**: when RSI goes above 70, the security is overbought and may revert; below 30 indicates oversold and a potential recovery.<\/p>\n

**Z-score**: measures how many standard deviations the current price is from the mean. A Z-score above +2 or below -2 signals extreme deviation.<\/p>\n

When Mean Reversion Works<\/h2>\n

– In range-bound, sideways markets
\n– For high-liquidity<\/a> stocks<\/a> with stable fundamentals
\n– When the deviation is statistically significant (large Z-score)
\n– When fundamental reasons (earnings growth, sector<\/a> tailwind) do not justify the deviation<\/p>\n

When Mean Reversion Fails<\/h2>\n

– In strong trending markets, prices can stay extended for a long time
\n– When fundamental changes justify the new price level (e.g., a company’s earnings growth accelerates)
\n– When the deviation is caused by structural change, not temporary sentiment<\/p>\n

Practical Example<\/h2>\n

Axis Bank’s 200-day moving average is Rs 1,150. After a sector-wide sell-off due to macro concerns, the stock falls to Rs 980, a 14.8% deviation below the mean. RSI reaches 28 (oversold). A mean reversion trader buys at Rs 985. Over the next 3 weeks, the stock recovers to Rs 1,120 as the macro fears ease and the bank’s fundamentals remain unchanged. The trade closes at Rs 1,110 with approximately 13% gain.<\/p>\n

Key Takeaways<\/h2>\n

– Mean reversion assumes prices eventually return to their historical average after extreme moves
\n– Bollinger Bands, RSI, and Z-score are common tools for identifying mean reversion setups
\n– Works best in range-bound, sideways markets and for liquid, fundamentally stable securities
\n– The main risk is trend continuation: strongly trending stocks can stay extended far longer than expected
\n– Combining mean reversion with fundamental analysis improves the accuracy of trade selection<\/p>\n","protected":false},"excerpt":{"rendered":"

Mean reversion is a trading strategy based on the principle that asset prices tend to return to their historical average (mean) over time. When a stock or index moves significantly above its mean, mean reversion traders expect it to fall back, and vice versa. This contrarian approach works well in range-bound or consolidating markets. What […]<\/p>\n","protected":false},"author":3,"featured_media":0,"menu_order":0,"template":"","meta":{"_uag_custom_page_level_css":"","footnotes":""},"class_list":["post-14254","glossary","type-glossary","status-publish","hentry"],"blocksy_meta":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"web-stories-poster-portrait":false,"web-stories-publisher-logo":false,"web-stories-thumbnail":false},"uagb_author_info":{"display_name":"Team Lemonn","author_link":"https:\/\/lemonn.co.in\/blog\/author\/ashu\/"},"uagb_comment_info":0,"uagb_excerpt":"Mean reversion is a trading strategy based on the principle that asset prices tend to return to their historical average (mean) over time. When a stock or index moves significantly above its mean, mean reversion traders expect it to fall back, and vice versa. This contrarian approach works well in range-bound or consolidating markets. What…","_links":{"self":[{"href":"https:\/\/lemonn.co.in\/blog\/wp-json\/wp\/v2\/glossary\/14254","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lemonn.co.in\/blog\/wp-json\/wp\/v2\/glossary"}],"about":[{"href":"https:\/\/lemonn.co.in\/blog\/wp-json\/wp\/v2\/types\/glossary"}],"author":[{"embeddable":true,"href":"https:\/\/lemonn.co.in\/blog\/wp-json\/wp\/v2\/users\/3"}],"version-history":[{"count":0,"href":"https:\/\/lemonn.co.in\/blog\/wp-json\/wp\/v2\/glossary\/14254\/revisions"}],"wp:attachment":[{"href":"https:\/\/lemonn.co.in\/blog\/wp-json\/wp\/v2\/media?parent=14254"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}