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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 2018 NBFC / credit stress

Current conditions share 8 of 16 factor characteristics with the 2018 NBFC / credit stress (Macro Economy, Derivatives Positioning, Global Risk Appetite) but differ in Valuation (48 now vs 1 then), Liquidity (47 now vs 74 then), Currency (79 now vs 53 then).

FactorCurrentThenDifference
Equity Momentum5233+19
Market Breadth3841−4
Derivatives Positioning4746+1
Option Premium Flow7852+26
Volatility6339+24
FII/DII Flows4955−6
Liquidity4774−27
Currency7953+27
Bond Market5753+4
Credit4649−3
Global Risk Appetite4144−3
Commodities4056−15
Valuation481+47
Earnings4149−8
Macro Economy5958+0
Retail / MF / IPO6682−16

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: 1 month.

Sentiment bandObservations≈ IndependentAverage returnMedian returnPositiveAvg max drawdownWorst max drawdown
Extreme Fear00—————
Fear14328−1.88%−1.29%42%-5.8%-20.8%
Mild Fear20641+0.43%+0.73%55%-4.1%-19.8%
Neutral24949+1.67%+1.90%65%-3.5%-17.8%
Mild Greed33466+1.20%+1.25%64%-3.8%-22.6%
Greed14929+2.58%+2.72%76%-3.0%-8.3%
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.