Index trend and momentum: pre-registered specification

Written 2026-10-01, before any Indian results were computed. Parameters come from the published literature and are not tuned on Indian data. If a rule is changed after results are seen, the change must be logged here with the date and the reason, and the original result kept.

Assets and data

• Equity: NSE total-return indices (bad prints repaired against the price index, see compute/tri_check.py): Nifty 50, Nifty 500, Nifty Next 50, Nifty Midcap 150, Nifty Smallcap 250.
• Gold: domestic INR price including import duty (WGC INR from 2005; USD × USD/INR before that).
• Bonds: NSE 5-year benchmark G-sec index (total return), 2001 onward.
• Cash: accrues the 91-day T-bill primary yield. This is also the risk-free rate.
• Timing: signals use closing data of day t; the position changes at the close of day t+1, so there is no look-ahead.

Trend rules (time series, long or cash, per asset)

Benchmarks: buy-and-hold of the same asset, and cash.

Sector momentum (cross-sectional)

• Universe: NSE sectoral total-return indices (NSE’s “Sectoral Indices” group). A sector is eligible at a month-end only if it has 13 or more months of history then.
• mom12_1: at each month-end, rank eligible sectors by total return over months t−12 to t−1 (skipping the latest month). Hold the top 3 equally weighted for the next month. (Jegadeesh and Titman 1993; Moskowitz and Grinblatt 1999)
• mom6_1: the same with months t−6 to t−1.
• Benchmarks: equal weight across all eligible sectors (same universe, rebalanced monthly), and Nifty 500 total return.

Costs (applied to every strategy and benchmark the same way)

• Trading: 0.10% of value traded, each way.
• Fund running costs while invested: equity 0.15% a year (index fund or ETF), gold 0.50%, G-sec 0.20%, cash 0.20% (liquid fund).
• Taxes: not in v1. Pre-tax results only, labelled as such. A post-tax version (Indian STCG/LTCG rules by date) is the next step, because rules that switch often realise short-term gains.

What is reported

• For each strategy: CAGR, volatility, Sharpe (excess over cash), Sortino, maximum drawdown, Calmar, time invested, trades per year, worst calendar year.
• Periods: full sample; first and second half, split at the midpoint date; and 2012 onward.
• Multiple testing: the deflated Sharpe ratio (Bailey and López de Prado, 2014). The number of trials is every rule × asset combination run here, counted honestly, including failures. This is computed both for each strategy’s Sharpe and for its excess over buy-and-hold.
• Current state: whether the rule is in or out for each asset, the date of the last switch, and the signal’s distance from its threshold. This is descriptive only, with no recommendation.
• Negative results are published as prominently as positive ones.

Known biases, stated up front

• NSE back-calculates many indices before their launch dates. Sector definitions don’t depend on hindsight, but their constituent rules were set later. This is noted wherever pre-launch history is used.
• Total-return indices assume dividends are reinvested without cost or tax.
• India’s market history is short: about 25 years for most indices and about 20 for mid- and small-caps. Few independent trend cycles means wide uncertainty, and the reports must say so.

Results log

2026-10-01: first run (data to 2026-09-25)

These ran exactly as specified, with no parameter changes. Trend: 35 trials (7 assets × 5 rules). Momentum: 2 trials.

Trend:

• Large caps. Every rule cut the worst drawdown sharply, but none beat buy-and-hold on risk-adjusted terms after deflation.
  • Nifty 50 maximum drawdown −59.5% → −27% to −39%. CAGR 0.5–4 points lower than buy-and-hold (12.3%).
  • Sharpe 0.21–0.41 vs 0.35 for buy-and-hold. dsr_vs_buy_hold ≤ 0.03.
• Mid and small caps. sma200d beat buy-and-hold on CAGR and drawdown, but is not significant after deflation.
  • Midcap 150: 18.1% vs 15.4%, maximum drawdown −32% vs −73%. DSR vs buy-and-hold 0.16.
  • Smallcap 250: 18.3% vs 13.8%. DSR 0.29.
• Gold and G-secs. Trend rules lowered or matched returns, with no benefit.
• Weakest rules: tsmom12 and breakout, across assets.
• Pre-tax only. Frequent switching would realise short-term gains, so after-tax results will be worse for the faster rules.

Sector momentum:

• mom12_1 trailed equal weight: 14.6% vs 15.7% since 2005-02, 49% monthly hit rate, DSR 0.41.
• mom6_1 led equal weight: 17.1% vs 15.7%, 50% hit rate, DSR 0.73. Not significant.
• Observation, logged and not acted on: NSE’s sectoral group has overlapping members, so the top 3 can be near-duplicates. A de-duplicated universe should be pre-registered as v2 before it is run.

2026-10-01: after-tax run (same rules; tax model added as planned)

• Tax model: compute/aftertax.py. FIFO lots and capital-gains rates by sale date and holding period:
  • Equity: STCG 30% / 10% / 15% / 20% and LTCG 10% / 0% / 10% / 12.5% across the 2004, 2008, 2018 and 2024 changes, with 2018 grandfathering.
  • Gold, G-sec and liquid funds: slab 30%, LTCG 20% (no indexation), the 2023 “specified fund” rule, and gold LTCG at 12.5% from 2024-07-23.
  • Everything is sold at the end. Cess, the annual exemption and loss set-off are ignored.
• Result: after tax, trend rules trailed buy-and-hold on every large-cap index by 1.9–6.1 points a year.
  • Nifty 50 buy-and-hold 11.98% after tax (12.31% before). sma10m 9.58%, sma200d 8.28%.
  • The tax drag comes from short-term gains on each exit and slab tax on the cash leg’s interest.
• Mid and small caps: the sma200d pre-tax edge mostly vanishes. Midcap 150 is −0.04 points after tax (+2.69 before); Smallcap 250 is +0.98 (+4.51 before).
• Gold and G-sec: trend rules lose 0.9–6.4 points after tax.
• Takeaway for a taxable Indian investor: these trend rules historically bought a smaller drawdown at a large after-tax cost. In a tax-free wrapper (e.g. inside a fund or NPS), the pre-tax numbers are the relevant ones.