FII option PCR extreme
This positional strategy reads NSE's participant-wise open interest and computes a put-call ratio for foreign institutions alone: the index puts they hold long divided by the index calls they hold long. When that ratio is stretched, above 1.5 or below 0.6, it trades NIFTY futures in the same direction as the FII bet. Each trade is time-boxed to about a week, with an ATR stop.How it trades
Results
PRE-BUILT · DEFAULTSWhere it made and lost money
Because FIIs were mostly put-heavy, the follow mode was mostly short, and the evidence reflects that. Entries on sessions that closed below their open made +₹1,96,287 over 11 trades, while those closing above the open lost ₹78,433 over 9. Entries with NIFTY below its 20-day average made ₹1,13,554 over 10 trades. The 7 trades during which NIFTY fell more than 1% made ₹2,18,068 and the 5 during which it rose more than 1% lost ₹1,09,424; both groups are too small to judge alone, but they show the strategy was effectively a bet on falls.
About this strategy
- Each morning, take the latest published participant-wise OI (from the previous session) and divide FII long index puts by FII long index calls.
- If this FII PCR is 1.5 or higher, FIIs are heavy on puts, so sell one lot of the near-month NIFTY future at 09:20; if it is 0.6 or lower, buy one lot.
- No entry on a futures expiry day, only one position at a time, and a cool-down of five sessions after each exit.
- Place a stop one daily ATR(14) away from the entry price.
- Exit when the ratio returns to the normal 0.8 to 1.2 band, at 15:15 on the fifth trading session after entry, or on the contract's expiry day, whichever comes first.
Why traders use it
FIIs are among the largest and best-informed traders in index options, and the daily participant data shows how their option book leans. A very lopsided book, many more puts than calls or the reverse, is read as a strong institutional view on direction. Following that view for a few sessions is a simple way to use data that most retail traders see only after the close. The time box and ATR stop keep each bet small and short.
The year in plain words
On NIFTY futures from 1 Oct 2025 to 30 Sep 2026 with default settings, the rules traded 20 times, won half, and made ₹1,17,854 before costs with a profit factor of 1.86. Average wins of ₹25,516 were nearly twice average losses of ₹13,730. Most trades (11) ended on the five-session limit and 4 at the ATR stop. The result leaned heavily on March, which made ₹1,28,622; the first five months of the test were all negative and the drawdown reached ₹96,211. Few trades means low cost drag: after ₹20 per order and bid-ask slippage it kept ₹1,09,398.
What the settings do
Risks
- FII long puts often hedge other holdings, so a high ratio is not a pure bearish signal.
- With only 20 trades and one month providing most of the profit, the result rests on very few outcomes.
- Trades are held overnight for up to five sessions and are exposed to gaps beyond the ATR stop.
- Participant data comes out after the close, so the signal is always at least one session old.
Who it suits
Positional traders interested in institutional positioning data who can hold a NIFTY futures lot for several days, accept long quiet spells, and judge a strategy over a small number of trades.
Questions traders ask
What is the FII PCR in index options?
It is a put-call ratio built only from FII positions in NSE's participant-wise open interest: index puts FIIs hold long divided by index calls they hold long. A reading of 1.5 means they hold one and a half puts for every call; 0.6 means calls dominate.
Is trading the FII option PCR extreme profitable?
In this backtest from 1 Oct 2025 to 30 Sep 2026 on NIFTY futures it made ₹1,17,854 before costs and ₹1,09,398 after ₹20 per order and bid-ask slippage, from 20 trades. Most of that came in March, and the before-costs drawdown was ₹96,211. Past results do not guarantee future ones.
Why trade with the FIIs instead of against them?
The default "follow" mode assumes their lopsided option book reflects a real view. The "contrarian" setting tests the opposite idea, that extreme positioning marks a crowded trade about to unwind. The data alone cannot tell which is true on a given day.
When is the participant-wise OI data available?
NSE publishes it after the session ends. The backtest uses the previous session's data at 09:20 the next day, which is the earliest a trader could act on it.