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Max Pain Theory: Does Price Gravitate to Max Pain

2026-06-23 · First Plan India · 28 min read

Does price really gravitate to max pain near expiry, or is it a myth dressed up as data? Here is the honest, evidence based answer.

Key takeaways

What Is Max Pain? The Idea Behind the Theory

Max pain is one of the most discussed and most misunderstood ideas in options trading. In plain words, max pain is the single expiry price at which the largest number of option buyers lose money, because the combined value of all the call and put options that finish in the money is the smallest possible. Since every rupee an option buyer collects at expiry is a rupee an option writer pays out, the max pain price is also the level where option sellers, taken together, hand over the least amount of cash. That is the whole theory in one breath: max pain marks the point of maximum financial pain for buyers and maximum relief for writers.

The word theory matters here. Max pain theory goes one step further than the definition and makes a prediction. It claims that as an expiry date approaches, the price of the underlying tends to drift toward the max pain level, as if the market were a marble rolling into the lowest point of a bowl. Traders sometimes call this the max pain magnet. Whether that magnet is real, weak, or mostly imaginary is exactly what this article will examine, with worked examples and an honest look at the evidence.

In the Indian market the idea gets a lot of attention because index options carry enormous open interest, and NIFTY in particular has a fresh weekly expiry to navigate. With so much money parked at popular strikes, the question of where price will settle on expiry day feels urgent to active traders. Before going deeper, one reminder: everything here is educational. It is meant to help you understand how the option market works, not to tell you to buy or sell anything. On First Plan India you can study these ideas and then test them with paper trades, risking nothing real while you learn.

To use max pain well you need three things: a clear sense of why the number exists at all, a feel for how it is computed from open interest, and a sober view of what it can and cannot tell you. We will build all three, starting from the simple payout of a single option and ending with a pre expiry checklist you can actually follow.

Calls, Puts and Who Pays: The Writer Payout Logic

Start with the building blocks. A call option gives its buyer the right to buy the underlying at a fixed strike price. At expiry that call is worth something only if the underlying settles above the strike, and its value is simply the difference between the settlement price and the strike. A put option gives its buyer the right to sell at the strike, so it has value only if the underlying settles below the strike. For every buyer there is a writer on the other side who sold that option and now must pay whatever the buyer is owed.

On expiry day a crucial simplification kicks in: time value disappears and only intrinsic value remains. During the life of an option its price contains both intrinsic value (how deep in the money it is) and time value (the premium for uncertainty and the time left). At final settlement there is no time left, so an option is worth exactly its intrinsic value and nothing more. A call that is 40 points in the money settles for 40 points. A put that is out of the money settles at zero. This is why max pain is computed using intrinsic value alone.

Now stack every option together. Imagine all the calls and all the puts across every strike on a NIFTY weekly expiry. For any given settlement price, some calls finish in the money and pay their holders, some puts finish in the money and pay their holders, and everything else expires worthless. Add up every rupee that buyers collect at that settlement price and you have the total payout the writers must fund. Max pain is the settlement price that makes this total payout as small as possible.

One subtlety is worth stating clearly. The payout total that max pain measures is the cash changing hands at settlement, not each trader's net profit or loss. A buyer who paid 120 points for a call and recovers 40 at expiry still lost 80 on the trade, yet max pain only counts the 40 that the writer pays out. This is deliberate: the premium was paid in the past and is already in the writer's pocket, so the only quantity still to be decided at expiry is the intrinsic payout. Max pain optimises that future payout from the writer's point of view, which is why it focuses on intrinsic value and treats the premium as water under the bridge.

The name captures the asymmetry. At the max pain price, buyers as a crowd have lost the most premium and recovered the least, while writers keep the most of what they were paid. It is tempting to leap from here to a story about powerful sellers dragging price to the convenient level. Hold that thought. The honest explanation, which we reach later, has more to do with the mechanical hedging that writers do than with any deliberate push. For now, simply hold the core fact: max pain is where buyer payouts and writer payouts are both minimised, because they are the same pool of money viewed from two sides.

How Max Pain Is Calculated, Step by Step

Computing max pain is arithmetic, not magic. The only input you need is the option chain: the open interest of every call and every put at every listed strike. Open interest is the number of contracts that are currently open and not yet closed or expired, so it represents the live positions that will actually have to be settled.

For each candidate settlement price, and in practice you test every listed strike as a candidate, you calculate the total amount that option holders would be owed if the underlying settled exactly there. The formula has two halves. First, for every strike below the candidate price, the calls at that strike are in the money, so you add the call open interest multiplied by the distance from the strike up to the candidate price. Second, for every strike above the candidate price, the puts are in the money, so you add the put open interest multiplied by the distance from the candidate price up to the strike.

Written compactly, the total payout at settlement price S is the sum over all strikes of call open interest times the positive part of (S minus strike), plus the sum over all strikes of put open interest times the positive part of (strike minus S). You repeat this for every strike, build a table of totals, and the strike that produces the smallest total is the max pain price.

Notice what the calculation does not need: it never uses the option prices or premiums at all, only the open interest. That is both its strength and its weakness. The strength is that open interest is hard data the exchange publishes, so the number is objective and repeatable. The weakness is that ignoring price means ignoring how expensive fear has become, so max pain is blind to volatility. One more detail: strike spacing matters, because the only candidates you can test are the listed strikes, so a widely spaced chain gives you a coarser max pain than a tightly spaced one.

Two practical notes. First, the chart of open interest by strike, the kind of bar chart shown in this section, is the visual heart of this calculation: the taller the bars, the more weight a strike pulls in the sum. Second, max pain is not fixed. It is a snapshot computed from current open interest, and it shifts as traders add and remove positions through the day and through the week. A platform that recomputes it live, as the First Plan India Open Interest page does, will show the level breathing as fresh open interest arrives.

A Worked NIFTY Max Pain Example

Numbers make this concrete. Suppose NIFTY is trading near 24,150 a couple of days before a weekly expiry, and a simplified slice of the option chain looks like the list below. The open interest figures here are illustrative round numbers chosen to keep the arithmetic clean, not a real market snapshot.

Test 24,000 as a settlement price. The calls at 23,800 finish 200 points in the money, so they contribute 200 multiplied by 1,20,000, which is 2.40 crore value units, where one value unit is a single index point on a single open contract. The calls at 23,900 are 100 points in and add 1.00 crore, so the call side totals 3.40 crore. On the put side, the 24,100 puts are 100 points in and add 1.10 crore, while the 24,200 puts are 200 points in and add 2.60 crore, so the put side totals 3.70 crore. The options sitting exactly at 24,000 are at the money and add nothing. The grand total is about 7.10 crore value units.

Now repeat the same exercise at every strike. The totals work out roughly as shown in the list below, and the smallest one is what you are hunting for.

The lowest total sits at 24,000, so in this example max pain is 24,000. If you want the figure in rupees rather than raw units, multiply by the current NIFTY lot size, which is 65 as of this post: the winning strike is still 24,000, because the lot size scales every row equally. With spot near 24,150, max pain theory would whisper that price has a mild bias to drift down toward 24,000 into expiry. It is a whisper, not a guarantee. A single strong news event, or a wave of fresh buying, can override it completely, which is exactly the limitation we examine later.

Reading Max Pain on the Option Chain with Open Interest

Max pain rarely travels alone. It lives inside the open interest profile, and reading that profile adds context the single number cannot. When you plot call and put open interest by strike, two features usually stand out. A strike with unusually heavy call open interest acts like a ceiling, often called the call wall, because the writers of those calls have an interest in price staying below it. A strike with unusually heavy put open interest acts like a floor, the put wall, for the mirror reason.

Max pain almost always sits somewhere between the call wall and the put wall, near the balance point of the two. That is not a coincidence: the level that minimises total payout is naturally pulled toward wherever the bulk of the open interest cancels out. So when you read max pain, you are really reading a weighted centre of gravity of the whole option chain.

Heavy call open interest above the current price marks resistance, and heavy put open interest below marks support. If price is trading between a strong put wall and a strong call wall, with max pain in the middle, the chain is describing a range it expects to hold into expiry. If price breaks decisively through one of those walls, the open interest there can unwind quickly, and the comfortable range picture breaks with it.

A quick judgement call before you trust any max pain reading: look at how concentrated the open interest is. When one or two strikes tower over the rest, as the taller bars in an open interest chart make obvious, the max pain level carries real weight because so much money is anchored there. When open interest is spread thinly and evenly across many strikes, the calculation still produces a number, but it is a soft one that small changes can move easily. The shape of the open interest bars, not just the single max pain figure, tells you how seriously to take it.

On the First Plan India Open Interest page you can watch all of this in one view: open interest by strike for calls and puts, the put call ratio, and both the classic max pain and a modified max pain computed live. The modified version gives more weight to strikes nearer the current price and to freshly added open interest, on the logic that recent positioning near the money tells you more about the final days than stale, far away strikes. Seeing both side by side is a good habit, because when the classic and modified numbers disagree, it is a sign that positioning is shifting under your feet.

Combining Max Pain with PCR and Open Interest Shifts

The put call ratio, or PCR, is the natural companion to max pain. It divides total put open interest by total call open interest. A PCR above 1 means more puts are open than calls, which is often read as defensive or, at extremes, as a contrarian bullish signal. A PCR below 1 leans the other way. Like max pain, PCR is a clue and never a standalone signal.

Used together, the three readings, max pain, PCR, and the direction in which open interest is changing, tell a richer story than any one of them alone. Suppose max pain sits a little below the current price, PCR is high and rising, and put open interest is building at a strike just under the market. That combination suggests writers are confident the floor holds and that price may drift gently down toward max pain while respecting that put wall as support. It is a hypothesis to test, not a certainty to bet the account on.

A quick illustration ties PCR to the picture. Imagine total put open interest of 90 lakh contracts against total call open interest of 60 lakh, giving a PCR of 1.5, while max pain sits 150 points below spot and put open interest is piling up at the strike just under the market. The high PCR and the building put wall both say writers expect support to hold, and max pain says the gentle bias is downward toward that floor. The three readings reinforce one another, which is the kind of alignment worth waiting for. Flip the put and call figures and the same tools would describe a market leaning the other way.

Pay special attention to change in open interest rather than the absolute level. A large rise in call writing at a strike pushes max pain in one direction; a wave of put writing pushes it the other way. Because the level recalculates from current open interest, a max pain that looked settled on Monday can migrate by Wednesday. Treat the number as a live reading, and re check it rather than trusting yesterday's value.

Confluence is the goal. Max pain becomes far more interesting when it lines up with a level your chart already respects, such as a prior support zone, a moving average, or a round number. When the option chain and the price chart point at the same level, you have two independent witnesses. When they disagree, the disagreement itself is information, and usually a reason to wait.

Expiry Day Behaviour: Does Price Gravitate to Max Pain?

Expiry day is where max pain earns its reputation, for better and worse. Two forces sharpen as the clock runs down. First, time value evaporates: with hours left, an option is almost pure intrinsic value, so writers who sold options near the money have a strong incentive to see price settle where those options expire cheaply. Second, the hedging that writers and market makers do to stay neutral becomes more sensitive near big strikes, which can nudge price toward those strikes in the final hours. This second effect, not any cloak and dagger plot, is the real engine behind pinning.

It helps to know exactly how Indian index options settle. NIFTY and BANKNIFTY options are cash settled, and the final settlement value is the weighted average price of the underlying index over the last half hour of trading on expiry day, not the single last tick. That averaging window is why the last thirty minutes feel like a tug of war: a brief spike does little, but sustained pressure into the close can drag the settlement toward a heavy strike.

A realistic expiry day picture looks like this. Through the morning, price can wander as fresh positions are taken and squared off, paying little obvious respect to max pain. As the afternoon wears on and time value drains away, the open interest that remains becomes the dominant force, and in a quiet session price tends to gravitate toward the heavy strikes and settle near the level during that final averaged half hour. In a session with a genuine trend or a surprise headline, none of this holds, and chasing the magnet becomes a fast way to lose money.

Does price gravitate to max pain on expiry? Often it ends up close, especially when there is no strong trend or news and the open interest is lopsided around one strike. Just as often, particularly for a giant, liquid index, price spends the day well away from max pain and only loosely converges, or ignores the level entirely because a real move is underway. The honest summary is that gravitation is a tendency in quiet conditions, not a rule that survives a trending or news driven session.

For premium sellers, expiry day max pain is most useful as a sense of where the path of least resistance lies if nothing else happens. For buyers, it is a warning: buying slightly out of the money options on expiry day is often buying a lottery ticket that the whole structure of the market is quietly biased against, because the max pain pull and the collapse of time value both work in the writer's favour.

The Evidence: What the Data Actually Shows

What does the evidence say once you step back from anecdotes? The phenomenon behind max pain has a real and well studied cousin in financial research: option expiration pinning. Studies of developed equity markets have documented that the prices of heavily optioned stocks show a mild tendency to close near large strike prices on expiration days, more often than chance alone would explain. The effect is real, but it is usually modest in size, not the dramatic snap to a target that retail folklore sometimes suggests.

Crucially, the research points to a mechanical cause rather than a conspiracy. Market makers who have sold large quantities of options hedge their risk by buying and selling the underlying as price moves. Near expiry, when an option is close to its strike, this hedging can become self stabilising: small moves up are met with selling and small moves down with buying, which dampens price right around the busy strike. That is pinning, and it is an emergent side effect of ordinary risk management, not a coordinated push to a profitable level.

The effect is strongest where one large strike dominates the open interest of a single, moderately liquid stock. It is weakest for a vast, deeply liquid index like NIFTY, where the sheer volume of trading and the spread of open interest across many strikes make any single strike hard to pin. This is an important nuance for Indian traders, because the instruments with the most max pain chatter, the big indices, are exactly the ones where the pull is most diluted.

There is also a quieter statistical trap. Because max pain is recomputed continuously and often sits near the current price anyway, it is easy to look back after expiry and feel that price obeyed it, when in fact the level had drifted toward price as much as price drifted toward the level. Confirmation bias, remembering the expiries that landed near max pain and forgetting the ones that did not, does a lot of the work in convincing traders the magnet is stronger than the data supports.

Criticism and Limitations of Max Pain Theory

Max pain deserves respect, but it also deserves a hard look. The first and biggest criticism is that it is a static snapshot used to predict a dynamic future. The number is built entirely from the open interest that exists right now, yet the settlement it tries to forecast depends on every position that will be opened and closed between now and expiry. Using today's picture to predict a level days away is like steering by a photograph of the road.

Second, it ignores the reasons price actually moves. A results season surprise, an RBI policy decision, global cues, a budget announcement, or a sharp move in heavyweight stocks can send an index far from any max pain level, and no amount of option positioning will hold it. Max pain says nothing about these catalysts, so it is silent precisely when it matters most.

Third, the popular manipulation story is mostly wrong. The idea that a cabal of writers deliberately drives price to max pain assumes they have both the capital and the coordination to move a market worth lakhs of crores, and that doing so would even be profitable after costs. The evidence favours the duller explanation of hedging flows. Believing in a deliberate push can make a trader overconfident about a level the market has no real obligation to respect.

Two more blind spots are worth flagging. Max pain says nothing about implied volatility, yet a spike in volatility can widen the range of plausible settlements far beyond the comfortable level the calculation implies. And it treats a colossal index the same way it treats a thinly traded stock, even though the forces that can pin a small stock near a strike are overwhelmed by the volume of a benchmark index. A tool that ignores both volatility and liquidity is, by construction, only ever telling you part of the story.

Finally, max pain is a single number with no sense of timing or path. It does not tell you when price might approach the level, how volatile the journey will be, or whether a brief touch at the close counts as success. Two expiries can both finish near max pain while behaving completely differently on the way there, and a strategy that ignores the path can be right about the destination and still be stopped out long before arrival. These limitations do not make max pain useless; they make it a context tool, not a trigger.

A BANKNIFTY Max Pain Example and a Shifting Level

A second example, on BANKNIFTY, shows both the method again and how the level can shift. Say BANKNIFTY is near 51,200 ahead of expiry, with a simplified chain like the one in the list below.

Test the three strikes. At 50,500, no calls are in the money, while the 51,000 puts (500 points in) add 500 multiplied by 70,000 and the 51,500 puts (1,000 points in) add 1,000 multiplied by 40,000, for a total near 7.50 crore value units. At 51,000, the 50,500 calls add 500 multiplied by 30,000 and the 51,500 puts add 500 multiplied by 40,000, totalling about 3.50 crore value units. At 51,500, the 50,500 calls (1,000 in) and the 51,000 calls (500 in) dominate, for about 5.25 crore value units.

The lowest total is at 51,000, so max pain is 51,000 while spot sits at 51,200, a mild downward bias of about 200 points. Multiply by the current BANKNIFTY lot size, which is 30 as of this post, to see the figures in rupees; once again the winning strike does not change. Note that BANKNIFTY now trades monthly expiries only, since weekly index options on the NSE were limited to NIFTY in November 2024, so its max pain reading evolves over a longer runway than NIFTY's weekly cycle.

Now watch the level move. Suppose a large trader writes a fresh block of puts at 51,000, lifting the put open interest there from 70,000 to, say, 1,40,000. Recompute and the heavier put wall at 51,000 pulls the balance point: the total at 51,000 stays the lowest, and even more decisively so, reinforcing 51,000 as a sticky floor and a stronger max pain anchor. Add instead a surge of call writing at 51,500 and the centre of gravity tugs upward. This is why a single reading is never the end of the story: max pain is a running summary of crowd positioning, and the crowd keeps changing its mind.

How to Use Max Pain Sensibly in Your Trading

How should a thoughtful trader actually use max pain? Start by demoting it from signal to context. Max pain is a map of where the option crowd has the least to lose, which is useful background, but it is not an instruction to buy or sell. The traders who get hurt are usually the ones who treat the level as a precise target and place trades that need price to arrive there on schedule.

Use it to frame, not to trigger. If you already have a directional view from price action and trend, max pain can tell you whether the option structure agrees or disagrees, and roughly where the path of least resistance sits into expiry. If max pain lines up with a chart level you respect and with the put call ratio, the confluence strengthens your plan. If they conflict, that is your cue to size down or stand aside.

Never let max pain override risk management. Position sizing, a predefined stop, and a clear invalidation level matter far more to your survival than any expiry magnet. A common and expensive mistake is to fade a strong trend, selling into strength or buying into weakness, simply because price has run away from max pain. Trends frequently drag max pain along behind them; the level catches up to price more often than price snaps back to the level.

Max pain is most practical intraday on expiry day, and mainly for option sellers who are already comfortable with the risks of writing. As a buyer, the most valuable use is defensive: recognising that buying cheap, far out of the money options on expiry day means fighting both time decay and the max pain pull at once. The best way to build intuition for all of this without losing money is to paper trade it. On First Plan India you can watch the live option chain, mark the max pain level, and place practice trades to see how the session actually unfolds against your read.

India Specifics: Expiries, Lot Sizes, Costs and Settlement

A few India specific facts shape how max pain plays out, and getting them right keeps your analysis honest. Index options on NIFTY and BANKNIFTY are cash settled: there is no delivery of shares, and your profit or loss is paid in cash based on the settlement value. Single stock options, by contrast, are physically settled, so an in the money stock option carried to expiry can turn into an obligation to deliver or receive the actual shares, which changes how traders behave around those strikes.

Contract sizes matter for turning points into rupees. As of the June 2026 post date the NIFTY lot size is 65 and the BANKNIFTY lot size is 30, so one point of index movement is worth ₹65 per NIFTY lot and ₹30 per BANKNIFTY lot. Keep in mind that the exchange revises lot sizes periodically, and these were trimmed from earlier, larger sizes, so always check the latest NSE circular before sizing a position. When you convert a max pain figure into rupees you multiply by the current lot size, and a position that looks small in points can be large in rupees once the lot is applied.

Expiry structure has also changed, and the details matter for how often a max pain cycle resets. Weekly options now exist only for the NIFTY 50 index on the NSE; the weekly expiries on BANKNIFTY and the other indices were discontinued in November 2024. NIFTY weekly options expire every Tuesday, after the weekly expiry day moved from Thursday on 1 September 2025, and the NIFTY monthly contract expires on the last Tuesday of the month. BANKNIFTY now trades monthly only, also expiring on the last Tuesday. So NIFTY produces a fresh max pain cycle every week, whereas BANKNIFTY's level builds and resolves over a full month, and you should not assume the two move on the same rhythm.

Costs quietly erode any thin edge. Securities Transaction Tax (STT) applies to options, and Goods and Services Tax at 18% is charged on brokerage and on transaction charges. In the money index options that are allowed to expire incur STT on the settlement value, which is why letting deep in the money positions ride to expiry can be more expensive than squaring off earlier. The lesson for max pain is sobering: even if the magnet nudges price a few points your way, taxes, charges, and the bid ask spread can swallow that gain. Tiny statistical edges rarely survive real world costs, which is one more reason to treat max pain as context rather than a money making system on its own.

Common Myths and Mistakes About Max Pain

It helps to name the myths directly. The first is that price always lands on max pain at expiry. It does not. Price finishes near max pain often enough to be noticed and far from it often enough to bankrupt anyone who bets the farm on convergence. Treating a tendency as a certainty is the single most expensive error around this idea.

The second myth is that max pain proves manipulation. As we saw, the pull is better explained by ordinary hedging than by a coordinated effort, and for a giant index it is diluted by sheer liquidity. Believing in a puppet master breeds a dangerous overconfidence in a level the market is free to ignore.

A third myth is that the bigger the gap between spot and max pain, the bigger the move you are owed into expiry. There is no such promise. A large gap can close because price falls to the level, because the level rises to price as open interest shifts, or because the gap simply persists to the close. Distance from max pain measures crowd positioning, not a guaranteed snap back, and trading it as a coiled spring is a fast way to lose money in a trending market.

Notice that almost every mistake comes from over trusting a single number. Max pain compresses a vast, shifting option chain into one price, and compression always loses information. The skill is in holding the number lightly: useful as a summary, dangerous as a command. Pair it with the open interest profile it came from, the put call ratio, the price chart, and an awareness of what is on the economic calendar, and it becomes one honest voice in a chorus rather than a lone oracle.

Putting It Together: A Pre-Expiry Max Pain Checklist

Pull it together with a simple routine you can run before any expiry. The aim is not to predict the close to the point but to read the option market's bias and to keep your risk under control while you do.

Max pain theory is a genuinely useful lens once you strip away the mythology. It tells you where the option crowd has the least to lose, it summarises the open interest structure into a single price, and in quiet conditions it marks a level price often drifts toward into expiry. It is not a law of physics, it is not proof of manipulation, and it is not a trading signal you can follow blindly. Used as context, alongside open interest, the put call ratio, and the price chart, it sharpens your read of the final days before expiry.

Most of all, treat this as education rather than financial advice. The fastest way to turn the ideas here into real skill is to test them with no money on the line. Open the Open Interest page on First Plan India, find the live max pain on NIFTY or BANKNIFTY, form a view, and place a paper trade to see how the expiry actually unfolds. Do that across many expiries, keep a journal of what the level did, and you will learn more about max pain than any single article can teach, while risking nothing but your curiosity.

Max pain is a useful summary, never a command: hold the number lightly and let your risk plan lead.

Frequently asked questions

What is max pain in options trading?

Max pain is the expiry price at which the combined value of all in the money call and put options is the smallest, so option buyers as a group lose the most and option writers pay out the least. It is calculated from the open interest on the option chain. Max pain theory adds the claim that price tends to drift toward this level as expiry approaches, though that pull is only a mild tendency.

How is max pain calculated?

For each listed strike treated as a possible settlement price, you add up the open interest of every in the money call multiplied by how far it is in the money, plus the open interest of every in the money put multiplied by how far it is in the money. You do this for all strikes, and the one with the lowest total is the max pain price. Multiplying by the lot size converts the figure to rupees but does not change which strike wins.

Does price always move to max pain on expiry day?

No. Price often finishes near max pain in quiet, range bound conditions, but it can settle far away when there is a strong trend or a major news event. The tendency is real but modest, and it is much weaker for large, liquid indices like NIFTY than for a single heavily optioned stock. Never assume convergence is guaranteed.

What is the difference between max pain and PCR?

Max pain is a single price level derived from where total option payouts are smallest, while the put call ratio (PCR) is a sentiment gauge that divides total put open interest by total call open interest. Max pain suggests a possible magnet level, and PCR hints at whether positioning is defensive or aggressive. Traders read them together rather than relying on either one alone.

Is max pain proof that big players manipulate the market?

Not really. The drift toward big strikes near expiry is better explained by the routine hedging that market makers do to stay risk neutral, an effect known as pinning. For a giant index, the huge trading volume and the spread of open interest make deliberate pinning impractical. Treating max pain as manipulation usually leads to overconfidence in a level the market can freely ignore.

Can I trade profitably using max pain alone?

It is not advisable. Max pain is a static snapshot that ignores future positioning, news, and trends, and after taxes, charges, and spreads any thin edge tends to disappear. It works best as context that you combine with the open interest profile, the put call ratio, your price chart, and a strict risk plan. Test it with paper trades before risking real money.

Where can I find the max pain level for NIFTY and BANKNIFTY?

Many option analytics tools and broker platforms publish a live max pain reading. On First Plan India, the Open Interest page shows open interest by strike, the put call ratio, and both classic and modified max pain for NIFTY and BANKNIFTY, recomputed live as positioning changes. Because the level shifts through the day, always read the current value rather than an older one.

Educational content only. Not investment advice. Practise on the First Plan India paper-trading terminal.

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