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Historical analogues & backtest

How today's factor profile compares with past Indian market episodes, and what followed each sentiment band historically.

Historical periods

PeriodScore thenSimilarity
2008 Global Financial Crisis
2008-01-08 → 2009-03-09
3177%
2013 Taper Tantrum
2013-05-22 → 2013-09-04
3986%
2015 China / global slowdown
2015-08-10 → 2016-02-29
3682%
2018 NBFC / credit stress
2018-08-29 → 2018-10-26
4886%
2020 COVID crash
2020-02-20 → 2020-03-24
2670%
2022 global inflation / rate shock
2022-01-18 → 2022-06-17
3480%
2024 election volatility
2024-05-13 → 2024-06-07
6884%
Current52

Similarity = 100 − mean absolute difference of factor scores over factors available in both periods. It describes resemblance, not a forecast.

Current vs 2015 China / global slowdown

Current conditions share 7 of 16 factor characteristics with the 2015 China / global slowdown (Valuation, Macro Economy, Retail / MF / IPO) but differ in Option Premium Flow (78 now vs 36 then), Volatility (63 now vs 23 then), Currency (79 now vs 40 then).

FactorCurrentThenDifference
Equity Momentum5225+27
Market Breadth3824+13
Derivatives Positioning4721+26
Option Premium Flow7836+42
Volatility6323+40
FII/DII Flows4942+8
Liquidity4724+23
Currency7940+39
Bond Market5763−6
Credit4629+17
Global Risk Appetite4134+8
Commodities4067−27
Valuation4849−1
Earnings4150−9
Macro Economy5961−2
Retail / MF / IPO6664+2

Differences within ±10 points count as shared characteristics.

Backtest — HISTORICAL OBSERVATIONS, not forecasts

Forward NIFTY 50 returns after each sentiment band, 2006-01-02 → 2026-10-19 (1086 weekly observations with ≥ 50% factor coverage). Horizon: 6 months.

Sentiment bandObservations≈ IndependentAverage returnMedian returnPositiveAvg max drawdownWorst max drawdown
Extreme Fear00—————
Fear1435+0.18%+1.21%53%-15.2%-53.9%
Mild Fear2007+5.97%+8.26%68%-10.5%-46.1%
Neutral2369+8.18%+7.68%76%-9.9%-39.3%
Mild Greed33212+8.33%+6.48%67%-10.9%-39.3%
Greed1495+8.61%+8.08%67%-8.8%-21.7%
Extreme Greed00—————
  • · HISTORICAL OBSERVATIONS — not forecasts or expected returns.
  • · Scores are reconstructed point-in-time: each date uses only data published by then (publication lags applied) and trailing-only percentiles.
  • · Weekly sampling; forward windows overlap for horizons longer than one week, so the number of independent observations (shown) is much smaller than the sample count.
  • · Index-level returns (NIFTY 50 price index, excluding dividends) avoid single-stock survivorship bias; index membership changes are inherent to the index.
  • · Weights and thresholds are judgement-based and were not optimised on these results (to limit data snooping and overfitting).
  • · Dates with less than the minimum factor coverage are excluded.