Nifty IT Index: Weights, Worked Rupee Examples and Tax for Indian Traders
How the Nifty IT Index works, why Infosys outweighs TCS, a worked rupee P&L example on Infosys futures and the ETF, plus Indian F&O tax rules.
Key Takeaways
- 1.The Nifty IT Index is a separate sectoral index of the 10 largest IT companies on the NSE. It is NOT a subset of the Nifty 50, it is its own free-float market-cap weighted basket.
- 2.It is top-heavy. Infosys and Tata Consultancy Services (TCS) alone usually carry roughly 40% to 48% of the total weight, so what these two stocks do drives most of the index move.
- 3.As an illustrative reference, the index has traded broadly in the 30,000 to 45,000 zone across 2024 and 2025. Always check niftyindices.com for the live level before you trade.
- 4.Most retail traders cannot trade the index directly. There is no widely traded weekly option on Nifty IT, so you express a view through the cash ETF or through stock futures and options on TCS, Infosys, HCL Tech and Wipro.
- 5.Profit and loss on stock futures and options is taxed as business income at your slab rate. Delivery gains follow STCG at 20% or LTCG at 12.5% above Rs 1.25 lakh. Securities Transaction Tax (STT) applies on every trade.
What the Nifty IT Index Actually Is
The Nifty IT Index tracks the 10 largest and most liquid information technology companies listed on the National Stock Exchange. It is calculated and maintained by NSE Indices Limited. A very common error, repeated even on some finance blogs, is to call it a part of the Nifty 50. That is wrong. The Nifty IT is a standalone sectoral index. Some of its constituents such as TCS, Infosys, HCL Technologies, Wipro and Tech Mahindra also sit inside the Nifty 50, but the Nifty IT itself is computed on its own basket using its own base value and base date.
The index uses the free-float market capitalisation method. Free float means only the shares actually available for public trading are counted, promoter and locked holdings are excluded. Because of this, a company with a larger publicly available market value gets a larger weight, and its price swings move the index more. The basket is reviewed semi-annually, so the exact members and weights shift over time. Treat any specific weight figure here as a recent illustrative snapshot, not a permanent fact.
For an Indian trader, the practical value of the index is as a sector thermometer. When you see Nifty IT gap up 2% in the morning, it almost always means the heavyweight names reported good numbers, the rupee weakened against the dollar, or US tech sentiment turned positive overnight. The index gives you one number to read the health of the whole export-driven IT pack instead of watching ten tickers.
The Current Constituents and Their Weights
Below is an illustrative recent constituent list with approximate free-float weights. The exact percentages change at every semi-annual review and with daily price moves, so confirm the live weights on niftyindices.com before sizing a trade. What matters more than the precise decimals is the shape of the basket, two giants on top and a long thinning tail.
| Constituent | Approx free-float weight | Also in Nifty 50? |
|---|---|---|
| Infosys | 26% to 28% | Yes |
| Tata Consultancy Services (TCS) | 18% to 22% | Yes |
| HCL Technologies | 9% to 11% | Yes |
| Tech Mahindra | 8% to 9% | Yes |
| Wipro | 7% to 9% | Yes |
| LTIMindtree | 5% to 7% | No |
| Persistent Systems | 4% to 6% | No |
| Coforge | 3% to 5% | No |
| Mphasis | 2% to 3% | No |
| Oracle Financial Services Software | 2% to 3% | No |
Notice that the old idea of TCS being the single biggest weight is outdated. Because weighting is on free float, and the Tata group holds a very large promoter stake in TCS while Infosys has almost no promoter holding, Infosys typically carries a larger index weight than TCS even though TCS is the bigger company by total market value. This single point catches out many new traders, so it is worth remembering when you reason about how the index will move.
Free-float weighting counts only publicly tradable shares. TCS has a roughly 72% promoter (Tata Sons) holding that is excluded, while Infosys is widely held with negligible promoter stake. So Infosys, with nearly all shares in free float, ends up with the heavier index weight despite TCS having a larger total market cap.
A Worked Example: How a TCS and Infosys Move Drives the Index
This is the core of understanding Nifty IT. Because two stocks dominate, you can estimate the index move from their moves. The contribution of a stock to the index move is roughly its weight multiplied by its percentage move. Let us work a fully illustrative example. Assume the Nifty IT Index is at 38,000. Infosys is weighted at 27% and TCS at 20%.
Suppose on results day Infosys rises 4% and TCS rises 3%, while the rest of the basket is roughly flat. The index contribution from Infosys is 0.27 times 4% which equals about 1.08%. From TCS it is 0.20 times 3% which equals about 0.60%. Together that is about 1.68% of upward push just from these two names. On a 38,000 index, 1.68% is about 638 points, taking the index to roughly 38,638 even if the other eight stocks did nothing. That is the entire point of calling this index top-heavy. You are, in effect, trading a leveraged bet on Infosys plus TCS.
| Stock | Weight | Stock move | Contribution to index |
|---|---|---|---|
| Infosys | 27% | +4% | +1.08% |
| TCS | 20% | +3% | +0.60% |
| Other 8 stocks | 53% | ≈0% | ≈0.00% |
| Total index move | 100% | ≈+1.68% (≈638 pts from 38,000) |
These weights, prices and moves are examples to teach the mechanics. They are not a forecast and not a promise of any return. Real index moves also include dividend adjustments, rebalancing and the smaller stocks, so use this as a back-of-the-envelope estimate, never a precise predictor.
Turning That View Into a Real Rupee Trade
Here is the practical problem. You cannot easily trade the Nifty IT Index itself with a liquid weekly option the way you trade Nifty. So a trader who is bullish on IT around a results day usually expresses it through the stock futures or options of the heavyweights, most often Infosys and TCS, because that is where the index move is concentrated anyway. Let us price a concrete, fully illustrative Infosys futures trade.
Assume Infosys futures trade at Rs 1,500 and the F&O lot size is 400 shares (lot sizes are revised periodically by NSE, so confirm the current Infosys lot before trading). One lot therefore has a notional value of 1,500 times 400 which is Rs 6,00,000. You buy one lot expecting the post-results pop. Infosys rises the 4% from our example, so the price moves from Rs 1,500 to Rs 1,560, a gain of Rs 60 per share.
- Gross profit: Rs 60 per share times 400 shares equals Rs 24,000.
- Brokerage: at a typical discount broker, roughly Rs 20 buy plus Rs 20 sell equals Rs 40.
- STT on futures: 0.05% on the sell side only. Sell value is 1,560 times 400 equals Rs 6,24,000, so STT is about Rs 312.
- Exchange, SEBI charges, stamp duty and 18% GST on brokerage and transaction charges: roughly Rs 60 to Rs 90 combined for one lot.
- Net profit before tax: about Rs 24,000 minus roughly Rs 427 in costs, which is approximately Rs 23,573.
Now the tax. Gains from futures and options are treated as non-speculative business income under Indian tax law, not as capital gains. So this roughly Rs 23,745 is added to your business income and taxed at your slab rate. If you fall in the 30% slab, the tax on this trade is about Rs 7,124, leaving roughly Rs 16,621 in hand. This is very different from buying the shares in delivery, where the tax would follow capital gains rules instead. Knowing which bucket your trade falls into changes your true take-home meaningfully.
Futures cut both ways. If Infosys had instead fallen 4% to Rs 1,440, that same one lot would show a Rs 24,000 gross LOSS plus costs. With a notional position of Rs 6 lakh on a margin of often Rs 90,000 to Rs 1,20,000, the move is heavily leveraged. Always size with a stop and never confuse a 4% stock move with a 4% account move.
The Lower-Risk Route: The Nifty IT ETF in Cash
If leverage is not for you, the cleanest way to own the index is a Nifty IT ETF or index fund that simply mirrors the basket. Examples include the Nippon India ETF Nifty IT, the ICICI Prudential Nifty IT ETF and similar products. You buy ETF units in your demat account just like a share, and one unit moves almost exactly in line with the index, minus a small tracking error and expense ratio.
Take an illustrative example. Suppose a Nifty IT ETF unit trades at Rs 38 when the index is at 38,000, a roughly 1:1000 ratio that several of these ETFs use. You buy 2,000 units for Rs 76,000. The index then rises the 1.68% from our earlier worked move, lifting the unit to about Rs 38.64. Your 2,000 units are now worth about Rs 77,280, a gross gain of Rs 1,280 before charges. Because this is a cash-market delivery trade, STT is 0.1% on each side and there is no leverage, so your maximum loss is limited to what you invested.
- Delivery STT is 0.1% on both buy and sell, far higher per side than the 0.05% on futures sells, but you avoid leverage risk.
- If you hold the ETF 12 months or less and sell at a profit, it is Short Term Capital Gain taxed at 20%.
- If you hold longer than 12 months, it is Long Term Capital Gain taxed at 12.5% on gains above Rs 1.25 lakh in the financial year.
- No daily mark-to-market margin calls, unlike futures. You simply hold the units.
- Useful for SIP-style accumulation of the IT sector without picking individual winners.
What Actually Moves Nifty IT
The single most important external driver is the USD to INR exchange rate. Indian IT firms earn most revenue in dollars but report and pay costs in rupees. When the rupee weakens, say from 83 to 85 per dollar, the same dollar billing converts into more rupees, lifting margins and earnings. So a weak rupee is usually a tailwind for Nifty IT, and a sharply strengthening rupee is a headwind. Traders watch the dollar index and rupee level almost as closely as the stock charts.
The second driver is demand from the US and Europe, since that is where the bulk of contracts come from. Strong US tech spending, a healthy Nasdaq, and rising client budgets feed order books. A US slowdown or recession fear hits IT first because clients freeze discretionary technology projects. This is why Nifty IT often reacts overnight to US market closes and to US Federal Reserve commentary, even before Indian markets open.
The third driver is the quarterly results and guidance cycle. Because TCS and Infosys report early each season, their numbers and especially their full-year revenue growth guidance set the tone for the entire pack. A weak Infosys guidance can drag the whole index down several percent in a single session, precisely because of the 27% weight we saw earlier. Attrition rates, deal wins (total contract value), and commentary on AI demand are the details traders parse line by line.
Nifty IT Versus Other Sectoral Indices
Nifty IT behaves very differently from a domestic-facing index like Nifty Bank or Nifty FMCG. IT is an export and dollar story, banks are an interest-rate and domestic-credit story, and FMCG is a rural and consumption story. These often move out of sync, which is exactly why sector rotation works. When the rupee weakens and US tech is hot, IT can lead while banks lag, and the reverse happens when domestic rate cuts fuel a banking rally.
| Index | Main driver | F&O depth for retail | Typical character |
|---|---|---|---|
| Nifty IT | USD/INR, US demand, results | Trade via stock F&O, no liquid weekly index option | Export-led, gap-prone on results |
| Nifty Bank | Rates, credit growth, NPAs | Very deep weekly and monthly options, lot 15 | High beta, very liquid |
| Nifty 50 | Broad economy | Deepest options of all, lot 75 | Benchmark, most balanced |
| Nifty FMCG | Rural demand, input costs | Thin, mostly cash and stock F&O | Defensive, lower volatility |
The key practical takeaway is liquidity. If you want clean, low-cost index options, Nifty (lot 65) and Bank Nifty (lot 30) are where the depth lives. For Nifty IT you are almost always trading the cash ETF or the stock derivatives of the heavyweights, which is why the worked examples above used Infosys futures and a Nifty IT ETF rather than a Nifty IT option.
Expiry, SEBI Rules and Margins You Must Know
Stock derivatives on IT names like Infosys and TCS settle on the monthly expiry, the last Thursday of the contract month (NSE shifts the day if there is a holiday, so confirm the calendar). Unlike Nifty and Sensex, individual stocks do not have weekly options. SEBI has also been tightening the F&O framework, raising contract values and rationalising weekly expiries to curb excessive retail speculation, so the exact contract specifications and lot sizes do change. Never assume last year's lot size still holds.
On margins, SEBI rules require the full SPAN plus exposure margin upfront for futures, and peak margin reporting is enforced intraday. For an Infosys futures lot with a Rs 6 lakh notional, expect to block somewhere around Rs 90,000 to Rs 1,20,000 depending on volatility. Option buyers pay only the premium, but option sellers face the same heavy margin as futures. Always keep a buffer, because a sharp adverse move triggers a margin call and your broker can square off your position.
- Stock F&O (Infosys, TCS, etc.): monthly expiry only, last Thursday, no weekly options.
- STT on F&O: 0.05% on futures sell side, 0.15% on options sell side, on the premium for options.
- F&O profit and loss is business income at slab rate, and losses can be set off and carried forward for 8 years if you file on time.
- Cash ETF delivery: STT 0.1% both sides, taxed as STCG 20% or LTCG 12.5% above Rs 1.25 lakh.
- Keep contract notes. SEBI and the income tax department both expect a clean audit trail for F&O activity.
Common Mistakes Traders Make With Nifty IT
The biggest mistake is ignoring the weight concentration. New traders treat Nifty IT as a diversified ten-stock basket and are then surprised when one weak Infosys guidance sinks the index. In reality, if you are bullish on the index you are mostly bullish on Infosys and TCS, so read those two results above all else. The second mistake is forgetting the rupee. People analyse the charts and earnings but miss that a sudden rupee strengthening can quietly cap upside even when results are good.
The third mistake is mis-taxing the trade. Many beginners assume their F&O profit is capital gains and under-pay or mis-report. It is business income at your slab. The fourth is over-leveraging stock futures around results, where a single gap can wipe out the margin. Results day is exactly when implied volatility and gap risk are highest, so position size should be smaller then, not larger.
Before any results-day IT trade, write down three numbers: the current index level from niftyindices.com, the combined Infosys plus TCS weight, and your maximum acceptable rupee loss on the position. If the trade can lose more than that number on a realistic gap, cut the size. Plan the loss before you dream about the profit.
Sources and Further Reading
For authoritative data and the live index level, weights and contract specifications, refer to NSE Indices (Nifty Indices), NSE India, SEBI and Zerodha Varsity. All prices, weights, levels and profit and loss figures in this guide are illustrative examples to teach the mechanics. They are not forecasts and not a promise of any return. Always confirm current rules, tax rates, lot sizes and contract specifications on the official source before you trade.
Sources and Further Reading
For authoritative data and further reading on this topic, refer to NSE Indices (Nifty Indices), NSE India, SEBI (Securities and Exchange Board of India) and Zerodha Varsity. Always confirm current rules, rates and contract specifications on the official source before you trade.
Related Topics
Related Articles
Understanding the Nifty 500 Index in Indian Markets
Nifty 500 index explained: real sector weights, long term returns, ETFs vs index funds, and current 20% STCG and 12.5% LTCG tax with a worked example.
Understanding Short Selling in Indian Markets
How short selling works in India: the intraday-only retail rule, SEBI SLB overnight borrowing with a real Reliance borrow-cost example, F&O shorts and tax.
Understanding Limit Orders in Indian Markets
How limit orders work on the NSE, with a real bid-ask order book, tick sizes, and worked Reliance, HDFC Bank and Nifty examples with charges.
Understanding Synthetic Futures in Indian Markets
Synthetic long future on Reliance with real premiums, net debit, rupee P&L, STT, margin and India tax. Worked example, lot size 500, breakeven and risks.
Understanding the Harami Pattern in Indian Markets
What a harami pattern is, bullish vs bearish, a real dated Nifty 2024 reversal example, F&O rupee maths, confirmation rules and India tax basics.
How to Rebalance Your Portfolio in Indian Markets
How to rebalance your Indian portfolio with the correct post-2024 tax: 20% STCG, 12.5% LTCG above Rs 1.25 lakh, plus a worked Nifty example.
The trading journal built for Indian F&O traders. Track your trades, spot patterns, build discipline.
- Log one trade a day by hand, on purpose
- AI mentor finds your repeat mistakes
- Behavioural analytics catch tilt early
- Trading calendar with P&L heatmap
- Pre-trade checklist flags risks
Yearly ₹2,499 · No broker credentials