Many traders make their living by trading nifty or bank nifty at the intraday level. A few traders directly trade in futures, whereas some deploy different option trading strategies to make profits.
There is a massive difference between ‘a successful trade’ and ‘successful trading.’ The latter demands the continuous execution of a trading strategy that has positive expectancy for a longer duration.
Table of Content
What is Banknifty?
Nifty is an index for the top 50 companies from National Stock Exchange.
Sensex is the index of the top 30 companies from the Bombay Stock Exchange (BSE).
Similarly, bank nifty is an index comprised of the 12 most liquid and largest cap stocks from the banking sector in the National Stock Exchange (NSE).
Let us explore how bank nifty is formed, a successful trading strategy to trade Banknifty, and a corresponding options trading strategy.
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Banknifty Live Chart Today
A live chart is essential to take intraday trades. There are many sources to get a live graph of Banknifty. Tradingview provides a simple and interactive live chart.
Banknifty Margin Details
As per NSE's new margin rules, from 1-June-2021, traders should keep 75% of the peak margin available with the broker. By Sep 2021, the same rate goes to 100%, which means there is no extra leverage for intraday trading in Indian market conditions.
In other words, all brokers should collect a 100% margin from traders. None of the brokers will be able to provide any extra margin to intraday traders.
So, one can check the margin requirements with any broker as they are the same as mandated by SEBI. One can check the margin requirements with the below links
Banknifty Historical Data
Backtesting helps traders to identify a good trading strategy. It also allows them to fine-tune their approach in volatile market conditions.
However, historical data is necessary to perform the backtesting. With a 15-min timeframe, one can access the last 3 months of data with Gocharting. The advantage of Gocharting is that it also provides an EOD market profile chart for free users.
A trader can access up to 6 months of intraday data (in 15-min timeframe) in Tradingview.
NSE also provides historical data (at the EOD level) here.
If you need 1-min intraday data from Jan 2008, visit the Trading Tuitions website.
Banknifty vs. Nifty
Banknifty is made up of only the top 12 banks from NSE. Whereas, Nifty is made up of top-50 companies from NSE, which also includes some Banks.
Compared to bank nifty, nifty displays calm, smooth and composed behavior on most trading days. Whereas, Banknifty is a beast and displays volatile swings on many trading days.
Hence, many day traders who have the intention of taking only 1-2 trades prefer nifty. In contrast, scalpers and traders who are happy to take more than 2 trades like bank nifty.
Banknifty Support and Resistance
Some traders underestimate support and resistance in intraday trading, thinking it is a basic trading concept. But simple things bring wonders in trading, and the support & resistance concept is not an exception.
In Banknifty intraday trading, there are two levels of support and resistance:
Support & Resistance trend lines from the daily chart
Previous Day High (PDH) and Previous Day Low (PDL) acts as support and resistance in the live market
Daily Chart Support & Resistance
If we look at the daily chart of Banknifty in image-2, there is a resistance trend line. It prevented the rise of price on 29-Apr-2021.
If we look at the daily chart of Banknifty in image-3, there is a clear support trend line. It prevented the fall of price on 29-Jan-2021.
Hence, it is apparent that support and resistance pivot levels play a crucial role in intraday trading.
A Banknifty intraday trader should note these price levels and oversee the price action carefully when the price reaches these levels.
PDH and PDL as Support & Resistance
Previous Day High (PDH) is also called ‘Unfair High.’ It indicates the presence of the last buyer on the previous day, and there are no more buyers at a higher level.
Hence, in a balanced market condition, there is a higher probability of the price acting as resistance.
The above image shows the balanced open (open at the center of the previous day range), and when the price bounced back to PDH, it acted as a resistance, and hence the price fell in the second half.
Most traders know resistance turns into support (and vice-versa) in trading.
Similarly, in an imbalanced market condition, the same PDH can act as a support for today (high probability).
The above image shows the scenario of an imbalanced open (open above the previous day range), and when the price gives a pullback to PDH, it acts as a support, and the price bounces back later.
Like the previous day high (PDH), the previous day low (PDL) will also act as support in the case of a balanced open and serves as resistance in case of imbalanced open of the price.
Image-6 and image-7 show examples for PDL acting as support in the case of balanced open and resistance in the case of an imbalanced open.
Banknifty Intraday Trading Strategy
Many traders look at only the ‘success ratio’ to shortlist a trading strategy.
It is not a good idea. Because a trader can have a 90% success ratio but still, he can lose money.
For example, Banknifty is trading at 30100. A person will suggest taking a long trade at CMP (at 30100), target 30200, and stop-loss 29000.
Do you know what will be the outcome of this trade?
On most days, these kinds of trades are winners. Because we are risking 1100 points for a profit of just 100 points!
One loss can wipe out the profits from 10 trades. Hence, day traders, along with ‘Success Ratio,’ should always look at another parameter, ‘Risk-Reward.’
Now assume we have a good trading system – Success ratio of 60%, Risk-reward of 1-2.
It means out of 100 trades, 60 trades are winners, and 40 trades are losers. In addition, if we risk 10K per trade, winning trades made a profit of 20K (RR or 1-2).
So all looks good on paper, right?
An intraday trader starts to use the above trading strategy and deploys 10 Lakh capital for this system.
After some trades, his portfolio reduces to 7 lakh (30% erosion). Do you think he will keep the same emotional stability to take trades using the same trading strategy?
Definitely, the answer is a big NO!
In the above case, if the maximum drawdown is only 10% (means capital erosion only up to 9 lakh), then the same trader is in a better condition to take the trades using the same trading concept.
Hence, 3 parameters are essential to measuring the performance of a trading system.
Success Ratio
Risk-Reward
Maximum Drawdown
In this article, I will explain an intraday trading strategy for Banknifty. Besides, I will also provide all the statistics (including the above success ratio, risk-reward, and maximum drawdown parameters).
However, an explanation of two crucial concepts is necessary before giving the trading strategy.
Day Structures in Banknifty
Market Profile identifies a few readable patterns in the daily time frame based on the level of participation of big players.
IB Range is the first one-hour range in the market after the market open. Based on IB range and price variation around IB range, Market Profile identifies 6 important day structures:
Normal Day
Normal Variation Day
Trend Day
Double Distribution Day
Non-Trend Day
Neutral Day
We will discuss only ‘Normal Variation Day’ as part of the Banknifty trading strategy.
(Please read ‘Intraday Trading using Market Profile’ if you want to know all the day structures)
Normal Variation Day
In Normal Variation Day, the IB range (1-hour range) will be medium.
The price will move outside of the IB range in any direction (either up or down).
This movement of price outside of IB range (range extension) generally will be equal to the length of the price range in the IB.
For example, if the IB range is 150 points, the price will move outside of IB approximately by 150 points.
Normal Variation Day occurs because big players don’t participate in the open.
They will watch the market for some time, and then they enter after the formation of the IB range to create a range extension on any one side of the IB.
Out of 100 trading days in bank nifty, 70 days will be normal variation days. Hence, if we have a trading strategy to trade normal variation day, we get more trades.
Opening Range Breakout (ORB) Concept
TOBY CRABLE developed ORB Strategy, and it is one of the widely used trading strategies among day traders.
It is based on the concept that “Amateurs open the market and professionals close the market.”
As per the ORB strategy, traders take the trade in the direction of the breakout of the IB range (1-hour range).
If the price breaks the IB high (1-hour high), they go for a long trade, and if the price breaks the IB low (1-hour low), they go for a short trade.
However, it has a flaw, and traders will get terrible results if they use it as it is. I will explain with the help of charts.
If we look at image-9 and image-10, it is evident that the ORB concept failed transparently.
In image-9, the price traded above the IB range for some time. If a trader opts for a long trade, then the price will hit his stop-loss. Besides, he will also miss a good short trade.
The same issue occurred in image-10 but the opposite direction. We should have a filter to eliminate these failures to increase the success rate and to avoid losing money for these false breakouts.
Hence, the below filter is helpful for picking only the successful trades (higher probability) and avoid failures.
Take 15-min timeframe chart of Banknifty.
When the ‘wick’ of the breakout candle (which breaks IB High) is more than 20% of the entire body, then it is better to avoid the long trade as there is a high probability of a false breakout.
For example, if the high of the breakout candle is 35100, low is 35000, then the close of the candle should be above 35080 (for 20% of the wick) to opt for a long trade.
Entry – Above the high of the breakout candle
Stop-loss – Below the low of the breakout candle
Exit – Target IB range points or EOD close
Trail SL – Once the price moves equal points of risk in the expected direction, then trail SL to the entry price (means if the entry is 35100, SL is 35000, if the price moves to 35200, then trail SL to 35100).
The same rules can be applied for the breakdown candle of the IB low to opt for short trades.
Backtesting Results
The backtesting results for Normal Variation Day + ORB Concept + 20% Filter looks like below (6 years – from 2014 to 2020).
Images 12, 13, and 14 display different aspects of the backtesting report.
The equity curve is smooth, and it has grown linearly from 5 lakh capital to 8.64 lakh. The maximum drawdown is only 6.2% which indicates the emotional stress level is less to execute this strategy.
Any positive profit factor indicates that the trading strategy will yield profits.
System traders happily accept any trading system with a profit factor of 1.2 and above. This trading strategy has generated a profit factor of 1.33, which indicates the efficiency of the system.
The only drawback of the system is the total number of trades per year. It has generated only 1008 trades for 5 years. It means around 202 trades per year or 7 trades in a month.
However, an intraday trader can quickly negate this drawback by applying the same trading strategy in multiple instruments like Nifty, Finnifty, or other major trading stocks. If a trader observes 4-5 instruments, there is a higher probability of getting 1-2 trades every day.
Banknifty Options Strategy
Options trading is one of the most exciting gameplay for many traders.
Vertical Spreads (like credit spread or debit spread) are the best options to trade the ORB concept.
The above image shows an example of the genuine breakout of the IB high.
In this case, a trader has the below options to take a long trade:
Go long in the futures
Buy Call options (CE)
Sell Puts (PE)
With futures trading, it is straightforward. The only drawback is that it demands more margin, and small traders may not be able to afford it.
Buying CE also looks simple. But with the introduction of weekly options, time decay (theta) always works against option buyers. So, a slight pullback also hits the stop-loss, reducing the overall profitable trades.
The time decay issue can be negated by selling PE. However, exchange demands more margin to sell options, and losses are also unlimited with options selling.
All these issues can be negated with the credit spread strategy (credit put spread, particularly in the above example).
It is simple to understand and execute. In the above case, we will sell the nearest ATM put option (main position).
At the same time, we buy the 200-300 points away put option (hedged position).
This strategy offers two advantages:
Due to the hedged position, an additional margin is not required.
Also, because of the hedged position, an unlimited loss scenario is removed.
The above image shows another example of the credit spread strategy.
Main position – 33000 PE sold
Hedged position – 32500 PE bought
The unlimited loss scenario is removed (due to hedging), and the maximum loss is only Rs. 6,349 (as highlighted in blue).
The margin requirement is also less in this strategy. It demands only Rs. 28,260 to execute this strategy (highlighted in yellow).
Conclusion
This article has attempted to explain a successful intraday trading strategy to trade in Banknifty, nifty, and other major stocks.
We recommend backtesting the strategy before implementing it in the live market because of two reasons:
You will get more clarity on the system
You may find better ideas to fine-tune the system, which increases the overall results.
Please note that this trading strategy has been built by observing historical data. Past performance does not guarantee the same results in the future.
However, there is a higher probability of the price showing the same characteristics.
To know more about different options trading techniques (for example, how to earn 5% returns every month with less risk), register for the ‘Options Trading Course’
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Hi Indra,
Looking at Image 12 – Equity Curve, I see that gains hovered around 6 Lakh. from 2016 to 2019 which means although DD is 6% there were almost no gains for 3 years. is my understanding correct?
Thanks,
Kapil