Dixon Technologies (India) Limited

NSE: DIXON · Consumer Durables · Lot size: 50

Dixon Technologies (India) Limited Open Interest & PCR Analysis

13,855Updated 22 Jul 2026, 03:30 pm IST
PCR
0.76
Bearish signal
Max Pain
13,500
Spot above by ₹355
Total CE OI
2.16M
Call writers
Total PE OI
1.63M
Put writers
OI Buildup Signal
Neutral
Price movement < 0.3% threshold
Put-Call Ratio Gauge
0 — Bearish1.0 — Neutral2.0+ — Bullish

Data as of 2026-07-22

Frequently Asked Questions

What is Dixon Technologies (India) Limited PCR (Put-Call Ratio) today?
Dixon Technologies (India) Limited's current PCR is 0.76. A PCR above 1.2 is considered bullish (more put writing = floor support); below 0.8 is bearish; 0.8–1.2 is neutral. Dixon Technologies (India) Limited's PCR of 0.76 indicates bearish sentiment.
What is Dixon Technologies (India) Limited OI buildup type today?
Dixon Technologies (India) Limited is currently showing neutral positioning with no significant directional bias. This is determined by comparing today's price change direction with the direction of total OI change — using the standard F&O buildup classification framework.
What is total CE and PE open interest for Dixon Technologies (India) Limited?
Dixon Technologies (India) Limited has total CE (call) OI of 2162850 contracts and total PE (put) OI of 1634500 contracts for the nearest expiry. The PCR is 0.76.
How is open interest analysis useful for Dixon Technologies (India) Limited trading?
OI analysis for Dixon Technologies (India) Limited helps identify institutional positioning. High CE OI at a strike = call writers defending that level (resistance). High PE OI = put writers defending that level (support). The buildup type tells you whether smart money is building fresh positions (bullish/bearish) or exiting existing ones.
What is the max pain for Dixon Technologies (India) Limited?
Dixon Technologies (India) Limited's max pain is ₹13,500 — the strike price where option writers (sellers) collectively suffer the least financial loss at expiry. The current spot price vs max pain deviation guides near-term directional bias into expiry.