Can a Weekly Trend Strategy Beat Buy and Hold on Indian Equity Indices? Evidence from Data Between January 2017 and July 2026

This paper asks whether a simple trend-following strategy, checked once a week on three NSE indices (the Nifty 100, Nifty Midcap 150 and Nifty Smallcap 250), can beat buying the indices and holding them. The data are NSE's daily index files; the test runs from January 2017 to July 2026, after trading costs. The answer is: not reliably. The best strategy found holds the three indices only while all three close above their weekly Supertrend line (period 35 weeks, multiple 3) and moves to cash otherwise. It returned 16.0% a year against 15.4% for buy and hold, with a worst fall of 10.0% against 42.9%. It made 23.5% a year against 17.6% from January 2017 to September 2021, a period with two crashes, but 9.0% against 13.3% from October 2021 to July 2026, when falls recovered quickly. In all, 4,881 versions were tested; for each idea, the version picked on the first half of the data earned less than buy and hold in the second half (5.8% to 10.4% a year). The strategy also lowered the return of a monthly SIP in every portfolio tested, including four sets of active mutual funds run through a hypothetical fund of funds. The paper is written for investor education and is not investment advice. Online version: https://indexstrategy.ayushagrawal.in/

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-03
DOI
https://doi.org/10.5281/zenodo.23911438
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Can a Weekly Trend Strategy Beat Buy and Hold on Indian Equity Indices? Evidence from Data Between January 2017 and July 2026

Ayush Agrawal
Zenodo (CERN European Organization for Nuclear Research)
Financial Markets and Investment Strategies
article

Can a Weekly Trend Strategy Beat Buy and Hold on Indian Equity Indices? Evidence from Data Between January 2017 and July 2026

Ayush Agrawal
article en

Abstract

This paper asks whether a simple trend-following strategy, checked once a week on three NSE indices (the Nifty 100, Nifty Midcap 150 and Nifty Smallcap 250), can beat buying the indices and holding them. The data are NSE's daily index files; the test runs from January 2017 to July 2026, after trading costs. The answer is: not reliably. The best strategy found holds the three indices only while all three close above their weekly Supertrend line (period 35 weeks, multiple 3) and moves to cash otherwise. It returned 16.0% a year against 15.4% for buy and hold, with a worst fall of 10.0% against 42.9%. It made 23.5% a year against 17.6% from January 2017 to September 2021, a period with two crashes, but 9.0% against 13.3% from October 2021 to July 2026, when falls recovered quickly. In all, 4,881 versions were tested; for each idea, the version picked on the first half of the data earned less than buy and hold in the second half (5.8% to 10.4% a year). The strategy also lowered the return of a monthly SIP in every portfolio tested, including four sets of active mutual funds run through a hypothetical fund of funds. The paper is written for investor education and is not investment advice. Online version: https://indexstrategy.ayushagrawal.in/

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 11%
Financial Markets and Investment Strategies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Can a Weekly Trend Strategy Beat Buy and Hold on Indian Equity Indices? Evidence from Data Between January 2017 and July 2026 — Ayush Agrawal · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS