14 Years of Real NSE Data

Our model analyses PE valuations, volatility regimes, drawdown patterns, momentum signals, and trend data from 14 years of NSE archives (2012-2026). Each day's score was validated against the actual Nifty return over the following 12 months. No hindsight adjustments.

What the data shows: Historically, higher Shift Scores were associated with higher subsequent 12-month Nifty returns.
Past performance does not guarantee future results.
2,887
Days Tested
14
Years of Data
100%
Monotonic
Real
NSE Data

What happened when the score was in today's range historically?

Based on today's score bucket. Shows what Nifty returned over the next 12 months in similar conditions.

Trading days
Median 12M return
Good case (P75)
Bad case (P10)
Chance of >15%
Chance of <7%
Past performance does not guarantee future results.

Score-wise 12-Month Nifty Returns

Score RangeTrading daysMedian 12MBad case (P10)Good case (P75)Chance of 15%+Chance of <7%
80-10082+57.7%+20%+65%99%0%
70-79162+17.1%+5%+25%55%14%
60-69381+15.1%+2%+28%50%25%
35-591,324+11.8%-4%+25%42%35%
0-34938+8.5%-4%+15%27%46%

Bad case = 10th percentile. Good case = 75th percentile. Tested on every trading day (2012-2026). ← Scroll for more columns

What goes into the Score

The Shift Score is built on a proprietary multi-factor model that evaluates market conditions across several dimensions, including but not limited to:

  • Valuation signals - How current market pricing compares to historical norms
  • Fear and volatility - Market stress indicators that historically preceded opportunities
  • Price structure - Corrections, trends, and momentum relative to long-term averages
  • Additional proprietary factors - Weighted and combined using a methodology refined over multiple iterations

The model is calibrated against 14 years of daily market data and continues to evolve as new signals are validated.

Why This Backtest Is Honest
  • Uses only real NSE data - no synthetic or proxy indicators
  • VIX data available from mid-2014; days without VIX use a default value
  • No cherry-picking: every single trading day with sufficient lookback data is included
  • Forward returns are actual Nifty closing prices 252 trading days later
  • No overlap tricks - each trading day is one independent data point
Market Insights

These factors (and others) are combined into the Shift Score using a multi-factor model.

FII / DII Monthly Flows

Get notified when conditions shift

Score alerts when markets become attractive or stretched, plus monthly sector updates.

Past performance does not guarantee future results. SIPshift provides market condition analysis, not investment advice.