**Disclaimer:** Educational research by a NISM XII certified educator. Not SEBI-registered investment advice. Every number is OBSERVED from my own dataset or DERIVED by a stated formula. No live trades placed.


QUICK ANSWER


PCR (Put-Call Ratio) = total put open interest ÷ total call open interest. The popular rule "PCR below 0.7 = buy, above 1.3 = sell" is a **contrarian sentiment signal**. But when I tested it on **120 days of real NIFTY data (284,937 option-chain rows, Feb–Aug 2026)**, no PCR bucket produced a next-day win rate above 60% on a sample large enough to trust — and after the ~0.20% round-trip cost, none were profitable. PCR is a useful *context* tool, not a standalone trade trigger.


WHAT IS PCR (PUT-CALL RATIO)?


The Put-Call Ratio measures sentiment in the options market.



PCR = Total Put Open Interest / Total Call Open Interest

  • **High PCR** (above ~1.2–1.3): many more puts than calls open → traders are positioned bearish / hedging → *contrarian* view says market may bounce (too much fear).
  • **Low PCR** (below ~0.7): more calls than puts → bullish retail euphoria → *contrarian* view says market may fall (too much greed).

  • The logic is **contrarian**: when everyone crowds one side, the move is often exhausted.


    Two flavours

    | Type | What it uses | Best for |

    |---|---|---|

    | **Volume PCR** | put volume ÷ call volume (same day) | Intraday sentiment shifts |

    | **Open-Interest PCR** | put OI ÷ call OI (carried) | Positioning / next-day bias |


    This article uses **OI-based PCR** because it reflects standing positioning, not just that day's churn.


    WHY TRADERS CARE ABOUT PCR


    Retail loves PCR because it is free, available on every option chain, and feels like a "smart money" tell. Telegram channels post "PCR 0.65 — massive buy signal!" daily. The promise: read sentiment, fade the crowd, profit.


    The question this article answers: **does that promise survive real data and trading costs?**


    DATA & METHODOLOGY BOX


    | Item | Value (OBSERVED) |

    |---|---|

    | Source | NSE EOD bhavcopy via `nse-bse-mcp` (free, 403-bypass) |

    | Rows (market_raw) | 284,937 |

    | Trading days | 120 (2026-02-20 → 2026-08-18) |

    | Symbol | NIFTY index options |

    | PCR metric | PE_OI ÷ CE_OI, daily |

    | Forward test | next-day spot return after each day's PCR |

    | Cost model | 0.20% round-trip (brokerage + exchange + slippage), DERIVED |

    | Sample | 119 next-day observations (1 day lacked a following session) |


    RESULTS — WHAT 120 DAYS OF NIFTY PCR ACTUALLY DID


    I split the 120 days into three PCR buckets and measured the **actual next-day NIFTY return** and win rate inside each:


    | PCR bucket | Days (n) | Mean next-day return | Win rate |

    |---|---|---|---|

    | < 0.80 (bullish lore) | 10 | −0.036% | **60.0%** |

    | 0.80 – 1.20 (neutral) | 91 | −0.077% | 49.5% |

    | > 1.20 (bearish lore) | 18 | +0.127% | 44.4% |

    | **All days** | **119** | **−0.043%** | **49.6%** |


    Reading the table honestly


  • The **< 0.80** bucket shows a 60% win rate — *but only 10 days*. A 6-of-10 coin-flip is noise, not edge. You cannot build a strategy on n=10.
  • The **> 1.20** bucket has a *positive* mean return (+0.127%) yet a *lower* win rate (44.4%) — meaning the average is propped by a few big up-days, not consistent wins.
  • The **neutral bucket** (91 days, the bulk of the sample) sits at 49.5% — a pure coin flip.
  • **All days combined: 49.6% win, −0.043% mean.** After the 0.20% cost, net expectation is negative.

  • **Conclusion (OBSERVED):** over this 120-day NIFTY sample, PCR buckets did **not** produce a next-day edge that survived costs. The popular thresholds are descriptive of sentiment, not predictive of direction.


    HOW TO USE PCR CORRECTLY (PRACTICAL)


    PCR is not useless — it is just **not a standalone trigger**. Use it as a *context filter*:


    1. **Regime awareness:** Extreme PCR (>1.3 or <0.7) tells you positioning is lopsided. That is real information — a trend may be exhaustive.

    2. **Confirmation, not signal:** Pair PCR with price structure (support/resistance, trend, volatility). Act only when they agree.

    3. **Sample-size discipline:** Any PCR "signal" with fewer than ~30 similar days is unproven. Demand the track record.

    4. **Cost awareness:** A 49.6% win rate loses money after costs. Your edge must clear the spread, not just beat 50%.


    COMMON PCR MYTHS DEBUNKED


    | Myth | Reality (OBSERVED) |

    |---|---|

    | "PCR < 0.7 = buy" | <0.80 bucket won 60% but only n=10 — not statistically reliable |

    | "High PCR = market bottom" | >1.20 showed +0.13% mean but 44% win — mixed, not a bottom signal |

    | "PCR predicts next day" | All-day win 49.6% ≈ random after costs |

    | "More OI = stronger signal" | OI volume alone said nothing about next-day direction here |


    HOW PCR IS CALCULATED — STEP BY STEP


    Using a real NIFTY expiry snapshot (OBSERVED structure from the dataset):


    1. At market close, read open interest of all **put** strikes → sum = PE_OI (e.g. 4,20,000 contracts)

    2. Read open interest of all **call** strikes → sum = CE_OI (e.g. 5,15,000 contracts)

    3. PCR = 4,20,000 ÷ 5,15,000 = **0.816**


    Interpretation: more calls open than puts → mildly bullish positioning. In my 120-day sample, the mean PCR was **1.011** (roughly balanced), ranging 0.626 (heavy call side) to 1.43 (heavy put side). The latest reading was **0.815** — near the sample mean, i.e. no extreme sentiment.


    **Volume PCR** uses the same formula but with *traded* volume that day instead of carried OI. It reacts faster to intraday sentiment shifts; OI PCR reflects standing positioning. For next-day research, OI PCR is the cleaner base.


    PCR VS OTHER SENTIMENT INDICATORS


    | Indicator | What it shows | Speed | Standalone trade? |

    |---|---|---|---|

    | PCR (OI) | Positioning imbalance | Daily | No (this study) |

    | PCR (Volume) | Intraday sentiment shift | Intraday | Unproven here |

    | Max Pain | Writer exposure strike | Static/till expiry | No (separate study) |

    | VIX / India VIX | Fear level | Real-time | Context only |

    | OI buildup | Where positions concentrate | Daily | Context only |


    None of these is a standalone trigger on its own. They are **complementary context layers**. The mistake retail makes is treating one ratio as a buy/sell button.


    A WORKED NIFTY EXAMPLE


    Take a day where PCR printed **0.70** (below the "buy" threshold). Per the popular rule, you would go long expecting a bounce. In my data, days with PCR < 0.80 (n=10) had a 60% next-day win rate — tempting. But:


  • n=10 means the result rests on **6 winning days out of 10**.
  • One or two reversed days flip it to 40%.
  • The mean return was **−0.036%** — positive win rate, negative average, meaning losers were slightly larger than winners.

  • So even the "best" bucket lost money on average. That is the trap: a headline win rate that hides negative expectancy.


    WHEN PCR ACTUALLY HELPS (HONEST CONTEXT)


    PCR is genuinely useful in three non-trading ways:


    1. **Exhaustion warning:** PCR > 1.3 or < 0.7 flags crowded positioning. If price is also at a known extreme, a reversal setup is *plausible* — but you still need price confirmation.

    2. **Volatility regime filter:** Combine with India VIX. High PCR + falling VIX often marks fear capitulation (a better bottom context than PCR alone).

    3. **Position sizing, not timing:** Use extreme PCR to *reduce* size (risk-off) rather than to *enter* a trade.


    The discipline that matters: PCR tells you **where the crowd is**, not **where price goes next**.


    PCR ACROSS EXPIRIES — A NUANCE RETAIL MISSES


    NIFTY has weekly and monthly expiries. The **near-weekly** PCR is noisier (smaller OI, more speculative flow); the **monthly** PCR is steadier (institutional positioning). A common error is reading the weekly PCR as if it carries the same weight as monthly. In practice, blend them: weight monthly heavier for bias, use weekly for short-term exhaustion flips. My 120-day test used the **current nearest-expiry OI** consistently — a deliberate choice for apples-to-apples comparison, not a mix that would obscure the signal.


    COMMON MISTAKES CHECKLIST


  • ❌ Trading PCR as a standalone buy/sell button
  • ❌ Trusting a win rate from n < 30 days
  • ❌ Ignoring round-trip costs (a 49.6% win loses money)
  • ❌ Mixing weekly + monthly PCR without weighting
  • ❌ Reading one day's extreme as a forecast
  • ✅ Using PCR as context alongside price structure + volatility
  • ✅ Demanding a track record before believing any "signal"
  • ✅ Sizing down at sentiment extremes, not forcing entries

  • REPRODUCIBILITY


    The test is ~10 lines:


    
    # for each trading day: compute PCR, get next-day spot return
    buckets = {'<0.80': [], '0.80-1.20': [], '>1.20': []}
    for day in days:
        pcr = pe_oi[day] / ce_oi[day]
        nxt_ret = (spot[next_day] - spot[day]) / spot[day] * 100
        if pcr < 0.80:   buckets['<0.80'].append(nxt_ret)
        elif pcr <= 1.20: buckets['0.80-1.20'].append(nxt_ret)
        else:            buckets['>1.20'].append(nxt_ret)
    
    for b, rets in buckets.items():
        print(b, 'n=', len(rets),
              'mean=', mean(rets),
              'win=', sum(r>0 for r in rets)/len(rets))
    

    No future data leaks — each day's PCR only ever looks at the *following* session's realized return.


    LIMITATIONS (explicit non-claims)


  • I do **NOT** claim PCR never works in any regime — only that over *this* 120-day NIFTY sample it showed no next-day tradable edge.
  • I do **NOT** claim intraday PCR (volume-based) is equally weak — that needs minute-level data not in this dataset.
  • Results are **not** investment advice. They are a measurement of one sentiment tool on one index.

  • FAQ


    **Q: What is a good PCR value for NIFTY?**

    A: There is no single "good" value. In my 120-day sample, PCR ranged 0.626–1.43 (mean 1.011). Extreme ends signal lopsided positioning, not a buy/sell call.


    **Q: Is PCR better than OI analysis?**

    A: They measure different things. PCR is a sentiment ratio; OI buildup shows where positions concentrate. Use both as context, neither as a sole trigger.


    **Q: Does PCR work on BANKNIFTY or stocks?**

    A: Unknown from this data — NIFTY only. Different underlyings have different crowd behaviour; test before believing.


    **Q: Why did the <0.80 bucket win 60%?**

    A: Small sample (n=10). Statistical significance requires far more observations; 6-of-10 is within noise.


    **Q: Is this financial advice?**

    A: No. Educational research by a NISM XII certified educator. Consult a SEBI-registered advisor.


    KEY TAKEAWAYS (SKIM-FIRST)


  • PCR = puts OI ÷ calls OI; a contrarian sentiment gauge, not a forecast.
  • Tested on **120 NIFTY days / 284,937 rows**: no bucket beat 50% win reliably after costs.
  • The <0.80 "buy" bucket won 60% — but only n=10, statistical noise.
  • Use PCR for **context + position sizing**, never as a lone entry trigger.
  • Demand a track record; most "PCR signal" sellers show none.

  • TL;DR


    PCR = puts OI ÷ calls OI, a contrarian sentiment gauge. Tested on 120 NIFTY days (284,937 rows): no PCR bucket beat 50% win rate reliably after costs — the popular "buy below 0.7" rule is descriptive, not predictive. Use PCR as context, not a trigger.


    SOURCES


  • NSE EOD bhavcopy via `nse-bse-mcp`, Feb 20 – Aug 18 2026. OBSERVED in `nse_research.db`.
  • Methodology: OI-based PCR + next-day forward return, deterministic, no future leak.

  • AUTHOR / CANONICAL ATTRIBUTION


    Shakti Tiwari — Nifty Option Trader, XGBoost Expert. NISM XII certified educator (not SEBI-registered advisory). Founder, OptionTradingWithAI.in. Original experiment; do not republish without attribution.


    ---


    Resources & Links


  • About the author: https://about.me/shaktitiwari
  • OptionTradingWithAI.in (canonical home): https://optiontradingwithai.in
  • WhatsApp for research questions: https://wa.me/919169650895
  • Dev.to profile (real handle): https://dev.to/shaktitiwari
  • Related: NIFTY Option-Chain Similarity Engine experiment (Shakti Tiwari on Dev.to)
  • Book: Option Trading with AI (B0H9ZNTBPK) | The AI Opportunity (B0HBBFKDQF)
  • Educational only — not SEBI-registered investment advice. NISM-Series-XII certified; not a SEBI-registered Research Analyst. Content is educational only.

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