Nifty’s August Performance Heatmap (2016–2025)
This report provides a detailed breakdown of the Nifty 50 index’s daily percentage movements during the month of August from 2016 to 2025. The heatmap below shows how the index moved each trading day. Green means a gain, Red means a loss, and black cells indicate non-trading days.
π Year-wise Insights
π 2016
A volatile month, with major drops like -1.28% (11th) and -0.88% (25th). Still, the month ended positive at +1.52%.
π 2017
A weak August, closing at -1.81%. Red days dominated the second half. Likely impacted by earnings and macro cues.
π 2018
A bullish month with +2.82% gain. August 27 and 30 saw strong upmoves. Optimism before elections supported buying.
π 2019
Mixed behavior, with losses like -1.92% (14th). Ended with a small -0.33% decline overall.
π 2020
COVID recovery phase. Solid gains on 5th and 18th. Despite a -3.31% crash on 31st, the month closed strong at +2.98%.
π 2021
One of the best Augusts in recent memory — +7.92%. Very strong throughout, with multiple >1% gain days.
π 2022
Another positive month: +2.99%. Good expiry week action on 29th and 30th with strong buying.
π 2023
A bearish August with -2.68% overall decline. Mid and late month weakness due to macro pressures.
π 2024
So far showing stability, with +0.82% gains. 16th and 19th posted healthy upticks.
π 2025
Only 1 day of data — started mildly negative at -0.2%. Too early to project monthly trend.
π Key Patterns
- Volatility often clusters around 11th–14th and expiry week.
- Strongest Augusts: 2021, 2022, 2018
- Weakest Augusts: 2023, 2017
- 6 of the last 9 Augusts have ended positive (till 2024)
π Why This Analysis Matters
- Plan short straddles/strangles during low-volatility Augusts
- Watch for global news impact near mid-month
- Use seasonality to backtest options strategies or swing setups
✅ Final Thoughts
August has historically been a mix of rally and retracement. Understanding past behavior helps traders prepare for what lies ahead. Use this heatmap as a reference to time your trades better and reduce uncertainty.
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