Market Context

Monthly Return Guide

Use this guide to read 10-year calendar-month seasonality for major indices so you can quickly see which months have historically helped and which months have lagged.

4usage steps
3 readout notes
Open Monthly Return Guide

Use the live page first, then tighten your review using this playbook.

These guide pages are designed to help you move from raw output to better shortlist decisions faster and with more confidence.

Overview

Best when you want a 10-year seasonality backdrop for Nifty 50 and the S&P 500 before screening or sizing risk.
Useful for comparing the average month, hit rate, and the spread of outcomes together.
The page is designed for context and expectation-setting, not as a standalone trading signal.

How to use Monthly Return Guide

1

Start with the strongest and weakest month cards

Use the overview cards first to see where seasonality has historically helped and hurt each index.

2

Check the horizontal return band chart

The bar shows the average return, while the deviation band shows how noisy that month has been around the average.

3

Confirm with the yearly heatmap

A strong average month is more trustworthy when the heatmap shows support across multiple years instead of one big outlier.

4

Use the ranking table last

Compare win rate, median return, and best/worst outcomes so you do not confuse a volatile month with a dependable one.

What to prioritize in the output

The best seasonal months usually combine a healthy average return with a solid win rate.
Wide deviation bands mean the average can hide a lot of variation from year to year.
Weak seasonal months deserve more caution when the live market backdrop is already fragile.

Common mistakes to avoid

Assuming a historically strong month guarantees a bullish outcome this year.
Ignoring how wide the distribution of returns is around the average.
Using seasonality without checking current price trend, breadth, and regime.

Best way to use this playbook

Use the page to narrow the market quickly, then promote only the strongest chart-plus-context setups into your active watchlist or research queue.

Charts