What is Tick Trading? Understand Tick Sizes in NSE
Trading isn’t what it used to be. Brokers no longer shout prices on the floor, scribble trades on slips, or confirm deals with a handshake. In the past, if you visited the Bombay Stock Exchange (BSE) building in Mumbai, you would see traders huddled in circles, shouting bids and ringing bells for every transaction. That scene marked the beginning of tick trading in the share market, not in the electronic sense, but as live price movements (or ticks) that traders shouted, recorded, and executed in real time.
Today, tick trading operates in a digital space, precise, lightning-fast, and driven by algorithms. But what exactly is tick trading in the share market, and why has it become a buzzword in modern markets? Let’s break it down.
What is a Tick Size and How it started in India?
A tick refers to the smallest possible price movement of an asset in the live market. It represents the minimum increment or decrement by which a stock’s price can move, either upward or downward. For example, if a stock’s price changes from ₹10.25 to ₹10.30, the tick size is ₹0.05.
In the 1980s and early ’90s, tick trading in Indian share market didn’t rely on electronics. Brokers on BSE’s iconic trading floor used hand signals and shouted bids to capture even the tiniest price changes. They manually recorded every tick on trade slips and sent them to back offices through runners. The environment was chaotic and fast-paced, where success depended on spotting the right tick faster than anyone else. That was real-time, human-powered tick trading.
Example of Tick Size
To better understand tick size, consider a stock with a tick size of ₹0.10. If the stock is currently priced at ₹500, the next possible price movements are ₹500.10 or ₹499.90. This means that the slightest change in price a trader can capitalise on is ₹0.10.
For example, suppose a trader bought 1,000 shares at a price of ₹500.00, and if afterwards the price increases to ₹500.10, the profit per share is ₹0.10, which is a total profit of ₹100 (₹0.10 × 1,000 shares). This is a small profit, but as we highlighted above, a tick trader can conduct many trades like this throughout the day. Even though only small price movements are made, with increased share size, the trader can add to the number of trades conducted, and therefore, the total profits made. This also shows how understanding and using tick size is important to this particular trading style.
If you are new to stock markets, the first step is to open free demat account so you can participate in tick-based trading and other market strategies seamlessly.
Read in Detail: How to Open a Demat Account With Findoc?
Characteristics of Tick Size
Tick size is the smallest price movement of a trading asset, established by the relevant exchange of the security. Tick sizes vary based on the asset class being traded (stock, futures contract, or commodity). Smaller tick sizes usually increase market liquidity and create more trading opportunities, but they can also lead to higher price volatility. Larger tick sizes reduce noise and clarify price movement. Tick size is a component of market efficiency because it affects the bid-ask spread and the depth of the market to protect fair and uniform trading.
In the Indian stock market, tick size directly shapes execution quality for retail and institutional traders alike. For example, a smaller tick size in liquid stocks like Reliance or HDFC Bank means tighter bid-ask spreads and more granular price discovery. In index futures and options (Nifty, Bank Nifty), revised NSE tick sizes affect how precisely traders can set entry and exit points, manage slippage, and calculate real P&L on each trade. Understanding tick size is especially critical for intraday and algo traders who rely on precise price levels.
What is Tick Trading in the Indian Stock Market?
Tick trading is a high-frequency trading strategy that executes trades based on individual price ticks the smallest possible price movements defined by the exchange. Rather than relying on time-based intervals like 1-minute or 5-minute charts, tick traders analyze tick data, examining each individual price change to uncover ultra-short-term trading opportunities.
In tick trading, each tick reflects a single trade or price change. Traders use tick charts such as 100-tick or 500-tick charts to spot patterns that standard candlestick or time-based charts often miss. These charts generate a new bar after a set number of trades (ticks), not after a fixed time period.
Tick traders typically deploy algorithmic or automated trading systems to take advantage of micro price movements. They program these systems to respond to specific triggers such as recurring patterns, order book imbalances, volume spikes, or latency arbitrage opportunities all within milliseconds.
This trading style requires low-latency execution, direct market access (DMA), real-time tick data feeds, and advanced technical indicators specifically designed for tick-level analysis. Due to the extremely short holding periods and the high volume of trades, tick trading is typically employed by scalpers, proprietary trading firms, and high-frequency trading (HFT) desks.
Tick trading is most effective in highly liquid instruments where bid-ask spreads are tight and order execution is near-instantaneous, making NSE-listed index futures and blue-chip equities the preferred playground for Indian tick traders.
Read Also: What is Preference Share?
How Does Tick Trading Work?
Tick trading involves buying and selling stocks (or other assets) based on small price movements, known as “ticks.” Instead of waiting for large price swings or long-term trends, traders target tiny price changes to make quick decisions.
For example, suppose Tata Power shares are trading at ₹390. If the price increases by ₹0.05 to ₹390.05, that movement counts as one tick. Tick traders act on these small changes, aiming to profit from each minor shift rather than waiting for larger moves.
Modern traders use algorithmic trading software and real-time data to monitor these fluctuations. They often execute dozens or even hundreds of trades each day. Their goal isn’t to ride major market trends but to capture small, rapid profits from frequent price movements.
Why Tick Size Matters for Day Traders?
Tick size is a fundamental component of market microstructure that directly impacts trading strategies, execution quality, and overall market liquidity. Understanding its role is essential for day traders aiming to optimize performance and reduce costs.
1. Price Precision and Spread Efficiency
Tick size defines the minimum allowable price increment between two bids or offers. A smaller tick size allows for finer price gradations, leading to tighter bid-ask spreads. This generally results in better execution prices for both retail traders and market makers. Conversely, a larger tick size may widen spreads but reduce market noise by limiting excessive order fragmentation.
2. Liquidity and Order Book Structure
Tick size significantly influences the depth and distribution of the order book. An optimally set tick size helps maintain a balanced book, concentrating liquidity at key price levels. If the tick size is too small, liquidity may fragment across many price points, increasing volatility and decreasing the likelihood of order fulfillment at favorable prices.
3. Algorithmic & High-Frequency Trading (HFT)
In algorithmic and HFT strategies, tick size determines the granularity of price signals. It affects the design and effectiveness of scalping tactics, latency arbitrage, and other tick-dependent models. Even minor adjustments in tick size can significantly impact strategy viability, especially for systems that rely on ultra-fast execution and micro-price movements.
4. Market Fairness & Manipulation Prevention
Regulatory bodies use tick size to promote fairness in the market. By enforcing a minimum price increment, they can reduce manipulative practices like quote stuffing and sub-pennying. This regulation helps maintain a more orderly order book and limits the ability of certain participants to “step ahead” with imperceptible price improvements.
5. Transaction Costs & Slippage
For active traders, tick size directly influences transaction costs. Larger tick sizes can increase slippage in volatile or thinly traded markets. In contrast, smaller tick sizes allow for more precise order placement, potentially reducing slippage and improving execution accuracy.
In the Indian market, the practical impact of tick size is most visible in intraday trading of Nifty futures and Bank Nifty options. For example, a single tick move of ₹0.05 in a Nifty futures contract worth ₹75 per tick represents a direct P&L impact. For traders running scalping or momentum strategies across multiple lots, even a one-tick improvement in entry or exit can meaningfully shift profitability over hundreds of trades per day. This is why NSE’s periodic tick-size revisions matter deeply for active traders.
Also Read: Price Action Trading: Definition & Basics
Tick Trading in the Indian Context
Tick trading in share market gained significant traction after 2000 with the introduction of electronic trading platforms like NSE NOW, ODIN, and later, mobile-based terminals. Today, traders can utilize algorithmic trading platform and broker-provided APIs to code and deploy tick-based strategies in real time.
In the Indian share market, popular instruments for tick trading include Nifty futures, Bank Nifty options, and highly liquid stocks such as Reliance Industries, HDFC Bank, and TCS. Brokers that provide APIs and low-latency terminals offer a considerable advantage, enabling tick traders to execute strategies with speed and precision.
Liquid instruments are preferred for tick trading in India because they offer consistently tight bid-ask spreads, high order book depth, and fast order matching, all essential for minimising execution slippage. NSE’s revised tick-size structure (rolled out across price bands) directly affects how tick traders design their strategies: a higher tick size in mid-price-range stocks (₹1,000–₹5,000) means fewer price points between bids and asks, which can reduce over-trading noise but also limits ultra-fine entry precision. Traders using algo APIs from brokers like Findoc can dynamically adjust lot sizes and trigger points to account for these tick-size changes in real time.
Revised Tick Sizes for Stocks and Their Futures
| Security Price (₹) | Previous Tick Size (₹) | Revised Tick Size (₹) |
|---|---|---|
| Below 250 | 0.01 | 0.01 (Unchanged) |
| 250 – 1,000 | 0.05 | 0.05 (Unchanged) |
| 1,000 – 5,000 | 0.05 | 0.10 |
| 5,000 – 10,000 | 0.05 | 0.50 |
| 10,000 – 20,000 | 0.05 | 1.00 |
| Above 20,000 | 0.05 | 5.00 |
The revised tick size for stocks and futures now varies by price range. It remains unchanged at ₹0.01 for securities below ₹250 and ₹0.05 for those between ₹250 and ₹1,000. For securities priced ₹1,000–₹5,000, the tick size increases to ₹0.10, and for ₹5,000–₹10,000, it rises to ₹0.50. Stocks in the ₹10,000–₹20,000 range now carry a tick size of ₹1.00, while those above ₹20,000 move to ₹5.00.
Also Read: After-Hours Trading in India
Revised Tick Sizes for Indices and Their Futures
| Index Level | Previous Tick Size (₹) | Revised Tick Size (₹) |
|---|---|---|
| 0 – 15,000 | 0.05 | 0.05 (Unchanged) |
| 15,000 – 30,000 | 0.05 | 0.10 |
| Above 30,000 | 0.05 | 0.20 |
The revised tick sizes for indices and their futures now depend on the index level. For indices ranging from 0 to 15,000, the tick size remains unchanged at ₹0.05. However, for index levels between 15,000 and 30,000, the tick size has increased from ₹0.05 to ₹0.10. For indices above 30,000, the tick size has been revised significantly to ₹0.20.
Key Components of Tick Trading
1. High-Speed Internet Connectivity
Tick trading operates on razor-thin margins, where every millisecond can impact profitability. A stable, high-bandwidth internet connection is crucial to avoid lags and ensure real-time responsiveness.
2. Real-Time Market Data Feeds
Access to accurate, low-latency data feeds from platforms like TradingView or your broker’s terminal is essential. Timely data helps traders pinpoint precise entry and exit points, especially in volatile market conditions.
3. Low-Latency Trading Platforms
Execution platforms optimized for speed are key to success in tick trading. The lower the latency between order placement and execution, the better your chances of capitalizing on micro-price movements.
4. Cost-Efficient Brokerage Structure
Since tick trading involves high-frequency trades, even small commissions can erode profits. It’s important to choose brokers with minimal spreads and low or zero per-trade costs to maintain profitability.
5. Strict Discipline and Strategy
Tick trading is not gambling; it’s a calculated approach that requires strict adherence to rules, strategies, and emotional control. Consistency and discipline are what separate successful traders from speculative players.
6. Depth of Market (DOM) and Time & Sales Data
Advanced tick traders also rely on DOM (Level 2 order book) to read real-time buy-sell pressure at each price level, and on time-and-sales (T&S) feeds that log every executed transaction in sequence. Together, these tools help traders identify absorption zones, iceberg orders, and momentum shifts that standard tick charts alone may not reveal. In India, platforms like Findoc’s algo terminal and select broker APIs provide access to live DOM and T&S data for NSE instruments.
Also Read: Equity Trading: What It Is and How It Works?
Advantages of Tick Trading
- Tick trading allows traders to benefit from extremely small movements in price, which means that even a very small change in the market can become potentially lucrative.
- The quick execution of trades enables multiple transactions within a single day, increasing earning opportunities.
- The use of ticks provides liquidity for markets as it instantly creates buyers and sellers, resulting in better overall price movement.
- It offers high flexibility as traders can participate across various markets, including stocks, commodities, and futures.
- Trading small amounts can have strict stop-loss orders that limit risk effectively.
Overall, it provides a precise way to capitalise on short-term market fluctuations efficiently. In the Indian market, these advantages are most pronounced when trading in high-liquidity instruments such as Nifty futures, Bank Nifty weekly options, and large-cap equities on NSE. Intraday tick traders in these instruments benefit from deep order books, tight spreads, and fast exchange matching engines, all of which support rapid, low-slippage execution across multiple trades per session.
Tick Trading Strategies
Traders employ many techniques in tick trading to earn money through exploiting small price movements. Here are the most widely used strategies:
1. Scalping
Scalping involves entering and exiting trades very rapidly, often within seconds to earn a small profit on every trade. Scalpers rely on high trade volume and tight bid-ask spreads. In India, scalping is commonly applied to Nifty futures and Bank Nifty options, where even a single-tick move translates to measurable P&L per lot.
2. Momentum Trading
Momentum trading involves following strong price trends by taking positions in the same direction as the prevailing move, aiming to profit as the trend continues. Tick traders using momentum strategies rely on volume surges and order flow signals to confirm momentum before entering.
3. Algorithmic Trading
Algorithmic tick trading uses computer programs to transact automatically based on predefined rules, price levels, tick counts, volume thresholds, or order book signals. Algo trading removes emotional bias and allows execution speeds that manual trading cannot match.
4. Order-Book-Based Execution
Some advanced tick traders read Level 2 order book data to spot imbalances between buy and sell orders at specific price levels. When a large bid stack appears with few offers, the trader may anticipate an upward tick and enter before the move occurs.
Regardless of strategy, every tick trading approach must include a pre-defined risk-reward ratio and a clear maximum daily loss limit. Given the high trade frequency, losses can compound quickly if rules are not enforced. Successful tick traders treat discipline as the most important tool in their arsenal.
Also Read: What is Pre-Market Trading?
Challenges of Tick Trading
Tick trading offers distinct opportunities, but also specific challenges that require thoughtful planning. Because tick trading is based on many trades, brokerage and tax costs can add up, requiring you to manage your expenses. Assuming that any trader will achieve success in tick trading, they will need effective technology, a reliable internet connection, and an advanced toolkit to actively and quickly react to price movements. Additionally, small tick values or movements create market noise, making it difficult to focus on and identify relevant trends.
For new traders, the psychological challenge of tick trading is often underestimated. The fast pace of execution with multiple positions opening and closing within seconds, can trigger impulsive decision-making, deviation from strategy rules, and emotional over-trading. Slippage is another critical issue: in fast-moving markets, even a one-tick difference between order placement and fill price can turn a planned profit into a loss across many trades. Beginners are strongly advised to practice on a paper trading or demo account for at least 30–60 days before committing real capital to tick-based strategies.
Difference between Tick Size and Tick Value?
| Term | Meaning | Example |
|---|---|---|
| Tick Size | The smallest unit by which the price of a stock or commodity can change. | If tick size is ₹0.05, a stock priced at ₹200 can move only to ₹200.05 or ₹199.95. |
| Tick Value | The actual money value gained or lost for each tick movement, based on how many units are traded. | If a trader holds 100 shares and price rises by one tick of ₹0.05, the tick value is ₹5 (100 × 0.05). |
This distinction is important because tick size refers to the minimum price movement, whereas tick value represents the monetary impact of that movement.
Also Read: Top 7 Indicators for Swing Trading
Tick Size in the Indian Stock Market
In India, tick sizes are determined and periodically revised by NSE and BSE based on the trading price of each security. The exchange follows a price-band-linked tick-size mechanism, meaning that as a stock’s price moves into a higher range, its minimum tick size is automatically adjusted upward.
Key points about tick size in the Indian stock market:
- NSE reviews and updates tick sizes on a monthly basis for stocks and their futures, ensuring tick sizes remain proportional to price levels and trading volumes.
- For index derivatives (Nifty, Bank Nifty, Sensex), tick sizes are linked to the index level, currently ₹0.05 for levels below 15,000, ₹0.10 for 15,000–30,000, and ₹0.20 for indices above 30,000.
- The primary goal of these revisions is to reduce excessive micro-fragmentation in the order book, improve price stability, and protect retail investors from manipulative quote stuffing.
- For highly liquid stocks like Reliance, HDFC Bank, and Infosys (priced above ₹1,000), the revised tick sizes mean fewer but more meaningful price increments, which can reduce noise in tick charts and help traders spot clearer signals.
Traders who build automated or algo strategies must keep tick-size updates in mind, as a change in tick size directly affects stop-loss placements, profit targets, and the minimum risk-reward ratios of their systems.
Tick Trading Tools and Data
Effective tick trading depends on having the right tools and data infrastructure. Here are the core elements every tick trader should understand:
Tick Charts
Unlike time-based candlestick charts, tick charts generate a new bar after a fixed number of transactions (e.g., every 100 or 500 trades). This means that during periods of high activity, bars form quickly, giving traders a more accurate picture of market momentum. During slow periods, fewer bars form, naturally filtering out noise.
Depth of Market (DOM / Level 2 Order Book)
DOM displays all pending buy and sell orders at each price level in real time. Tick traders use DOM to identify price zones where large orders are concentrated (support/resistance), detect order imbalances that signal potential price movement, and time entries ahead of major order executions.
Time and Sales (T&S)
The T&S feed is a real-time log of every executed trade, showing price, quantity, and timestamp. Tick traders use T&S to track buying and selling aggression, identify when large participants are actively accumulating or distributing, and confirm momentum signals seen on tick charts.
Algorithmic Execution Platforms
In India, broker APIs (such as those offered by Findoc and other SEBI-registered brokers) allow traders to build and deploy automated systems that connect directly to NSE’s order management system. These platforms support tick-level triggers, basket order execution, and real-time position monitoring.
Pro Tip: Always test your tick trading tools on a demo or paper trading environment before going live. Even a 50-millisecond latency difference between your platform and the exchange can affect fill quality in fast-moving tick strategies.
Is Tick Trading Right for Beginners?
Tick trading is one of the most demanding forms of market participation. Before entering this space, beginners should honestly assess whether they meet the following prerequisites:
- Strong understanding of market microstructure, bid-ask dynamics, and order types
- Familiarity with technical analysis tools, specifically tick charts, DOM, and volume indicators
- Access to a reliable low-latency trading platform and fast internet connection
- Emotional discipline to follow rules strictly, even after a string of small losses
- Sufficient capital to absorb the learning curve without financial stress
For most beginners, tick trading is not the ideal starting point. A more practical path is to begin with swing trading or positional trading to understand price behavior, then transition to intraday strategies, and only then explore tick-level execution after building consistent profitability.
If you’re determined to start, use a demo trading account for at least 30–60 days to test your strategy, measure your hit rate, and practice discipline before deploying real capital.
Tick Trading vs Intraday Trading
| Factor | Tick Trading | Intraday Trading |
|---|---|---|
| Trade Duration | Seconds to minutes | Minutes to hours (within market session) |
| Chart Type | Tick charts (trade-count based) | Time-based (1min, 5min, 15min candles) |
| Data Granularity | Every individual price change | OHLC aggregated by time interval |
| Execution Speed | Milliseconds (often algo-driven) | Manual or semi-automated |
| Number of Trades | Dozens to hundreds per day | Typically 2–10 per day |
| Primary Tools | Tick charts, DOM, T&S, algo APIs | Technical indicators, news, price action |
| Risk Level | Very high (fast-moving, high frequency) | Moderate to high |
| Best For | Experienced algo and scalp traders | Active retail and semi-professional traders |
While both styles are intraday in nature (all positions closed before market close), tick trading operates at a much finer resolution than standard intraday trading. The key distinction is data granularity and execution speed; tick traders react to individual price changes, while intraday traders react to broader price patterns over time.
Conclusion
Tick trading illustrates how even the smallest price movements can become part of trading opportunities with careful planning, speed, and discipline. Tick trading has a great deal of potential in terms of providing quick gains, but requires risk management and reliable trading instruments. If you’re interested in learning or starting your trading journey, Findoc is a reputable source to help you on your journey to trade efficiently and confidently.
Whether you’re curious about tick trading or ready to build your first tick-based strategy on NSE, the right tools and education make all the difference. Start with the basics, practice on a demo account, and scale gradually.
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Frequently Asked Questions
Stock exchanges determine tick sizes based on the price range of the security. For example, NSE has a uniform tick size of ₹0.05 for all stocks, except for certain instruments where it may differ.
Tick-by-tick trading refers to analyzing or executing trades based on each individual price movement (tick). It is commonly used in high-frequency trading (HFT) and algorithmic trading strategies that require granular market data.
Tick data is the raw market data that records every change in price, bid, ask, and volume, with timestamps. It is much more detailed than minute or hourly data and is used for backtesting and HFT models.
Tick data captures every individual price change, offering ultra-granular detail. In contrast, candlestick data aggregates price movements into open, high, low, and close (OHLC) values over fixed time intervals such as 1 minute, 5 minutes, or more.
Tick trading allows traders to benefit from small price movements that occur frequently. It offers quick profit opportunities, high liquidity, and flexibility across different markets like stocks, commodities, or futures. However, proper tools and planning are required.
Yes, beginners can try tick trading, but it is risky and requires practice. They should first understand terms like tick size, use demo accounts, and learn risk management before trading with real money.
A tick chart is a type of chart that shows price changes based on the number of trades, not time. It helps traders see short-term patterns and identify quick entry or exit opportunities.
Tick traders use fast trading platforms, tick charts, technical indicators, and high-speed internet. Some also use algorithmic tools that place orders automatically, helping them respond to market movements within seconds.
Tick value is the monetary gain or loss resulting from a one-tick price movement, based on the number of units (shares or contracts) held. For example, if a trader holds 200 shares and the tick size is ₹0.05, one tick move equals a ₹10 change in position value (200 × 0.05).
Yes, tick trading is legal in India when executed through SEBI-registered brokers on recognized exchanges like NSE and BSE. Algorithmic tick trading also requires the trader or firm to register their strategies with the exchange as per SEBI’s algo trading regulations.
The best stocks for tick trading in India are highly liquid large-cap equities such as Reliance Industries, HDFC Bank, Infosys, and TCS. For derivatives, Nifty futures and Bank Nifty options are the most popular instruments due to their high trading volumes, tight spreads, and deep order books.
Tick trading operates at the micro level, reacting to individual price changes within seconds using tick charts and DOM data. Intraday trading is broader, using time-based charts (1min to 15min) and holding positions for minutes to hours within the trading session. Tick trading requires faster execution, more sophisticated tools, and greater capital efficiency.
NSE determines tick sizes based on the price band of each security. The exchange follows a monthly review cycle, and tick sizes are automatically adjusted when a stock’s price moves into a new range. The goal is to maintain orderly markets, reduce excessive micro-fragmentation, and ensure price increments are proportional to the security’s trading value.
The best tools for tick trading in India include a low-latency broker API or direct market access (DMA) terminal, a tick chart platform (such as TradingView or broker-provided terminals), real-time DOM (Level 2 order book), and a time-and-sales feed. For automated strategies, an algo trading platform with API connectivity to NSE is essential.
Yes, tick trading can be done manually, but it is extremely demanding. Manual tick traders must monitor tick charts, DOM, and T&S feeds simultaneously and make split-second decisions. In practice, most professional tick traders in India use at least semi-automated tools or fully automated algos to maintain the execution speed required.
The order book (Level 2 / DOM) plays a central role in tick trading by revealing the real-time distribution of buy and sell orders at each price level. Tick traders use order book data to identify price levels with high liquidity concentration, spot sudden order imbalances that may precede a price move, and confirm or filter signals from tick charts before entering a trade.
Still have questions? If you need more information or have specific questions, feel free to reach out. We’re happy to help you find the answers you’re looking for.