uTrade Algos

How Do Calls and Puts Work: A Comprehensive Guide

January 5, 2024
Reading Time: 3 minutes

The domain of trading calls and puts allows investors to adopt diverse strategies to capitalise on market movements. This comprehensive guide aims to delve deeper into the concepts of calls and puts, exploring their intricacies, types, strategies, pros and cons, and their integration with algorithmic trading. Read on to learn more. 

Understanding Calls and Puts

Calls

A call option gives the holder the right, but not the obligation, to buy an underlying asset at a predetermined price (strike price) within a specified period (until expiration).

Buyers of call options expect the underlying asset’s price to rise, enabling them to profit from buying at a lower strike price than the market value.

Example 

Suppose an investor purchases a call option on a stock priced at ₹1,000 with a strike price of ₹1,050, paying a premium of ₹40 per share for a contract size of 100 shares. 

  • If the stock’s price rises to ₹1,120 by expiration, the investor can exercise the option, buying the shares at the strike price (₹1,050) and selling them in the market for ₹1,120, earning a profit of ₹70 per share (₹1,120 – ₹1,050 – ₹40 premium). 
  • Conversely, if the stock price remains below the strike price at expiration, the investor’s option expires worthless, resulting in a loss limited to the premium paid.

Puts

A put option grants the holder the right, but not the obligation, to sell an underlying asset at a predetermined price (strike price) within a specified timeframe (until expiration).

Buyers of put options anticipate the underlying asset’s price to decrease, allowing them to profit by selling at a higher strike price than the market value.

Example

Suppose an investor purchases a put option on a stock priced at ₹800 with a strike price of ₹750, paying a premium of ₹30 per share for a contract size of 200 shares.

  • If the stock’s price declines to ₹700 by the expiration date, the investor can exercise the put option, selling the shares at the strike price (₹750) instead of the lower market price of ₹700, resulting in a profit of ₹50 per share (₹750 – ₹700 – ₹30 premium) on 200 shares, totalling ₹10,000.
  • However, if the stock’s price rises above the strike price (₹750) at expiration, let’s say to ₹780, the investor’s put option expires worthless. In this scenario, the investor faces a loss limited to the premium paid (₹30 per share × 200 shares = ₹6,000), as they would not exercise the option to sell at a lower price when the market price is higher.

Mechanics and Strategies

Buying and Selling Calls/Puts

  • Buyers: They aim to profit from price movements by purchasing calls (anticipating an increase) or puts (anticipating a decrease) and can exercise these options if profitable.
  • Sellers (Writers): They receive premiums and take on obligations – selling calls obligate them to sell the asset if exercised, while selling puts obligates them to buy the asset if exercised.

Strategies Using Calls and Puts

Covered Calls and Protective Puts

  • Covered Calls: Investors hold the underlying asset and sell call options to generate income from premiums.
  • Protective Puts: Investors buy put options to protect their portfolio from potential downside risk.

Straddles, Strangles, and Spreads

  • Straddle Strategy: Buying call and put options with the same strike price and expiration, anticipating significant price volatility.
  • Strangle Strategy: Buying call and put options with different strike prices but the same expiration date, expecting price fluctuations.
  • Spreads (Bull/Bear): Strategies involving simultaneous buying and selling of options to limit risk or capitalise on price movements.

Pros and Cons

Pros

  • Flexibility: Provides diverse strategies for speculation, hedging, and income generation.
  • Limited Risk: Allows for predefined risk exposure with the premium paid or received.
  • Leverage: Offers potential high returns relative to the initial investment.

Cons

  • Limited Lifespan: Options have expiration dates, limiting their time to profit.
  • Complexity: Strategies can be intricate, requiring careful understanding and monitoring.
  • Risk of Loss: Involves the potential loss of the entire premium paid.

Algo Trading and Options

The combination of algo trading platforms, like uTrade Algos, and options has transformed the financial landscape. Algo trading, initially prominent in equities, swiftly extended into options trading due to its speed, efficiency, and risk management capabilities. This fusion brings various advantages, including rapid execution, enhanced risk control, and the ability to execute diverse strategies.

Advantages

  • Speed and Efficiency: Algorithms execute options trades swiftly, seizing fleeting market opportunities and optimising trade entries and exits.
  • Risk Management: Algo strategies incorporate risk parameters, enabling automated risk control through mechanisms like stop-loss orders and diversification.
  • Diversified Strategies: Algo trading platforms facilitate numerous strategies, from directional plays to complex multi-leg strategies, enabling traders to capitalise on diverse market scenarios.

Algo Trading Strategies in Options

  • Delta-Neutral Strategies: Aim to be insensitive to small price movements in the underlying asset, maintaining balance during call and put options trading.
  • Volatility Trading: Algorithms capitalise on volatility changes, benefiting from both increasing and decreasing volatility through strategies like straddles and strangles.
  • Option Market Making: Algorithms provide liquidity by quoting bid and ask prices continuously, profiting from the spread.

Challenges

  • Technological Complexity: Requires sophisticated technical expertise for development, maintenance, and compliance.
  • Risk of Technical Glitches: Reliance on technology poses the risk of system failures, connectivity issues, or data errors.
  • Market Dynamics: Algorithms need adaptability to navigate changing market conditions influenced by various factors.

In conclusion, call and put option trading offers investors a myriad of strategies to manage risk, speculate on market movements, and diversify portfolios. Integrating these tools with algorithmic trading, on platforms like uTrade Algos, can enhance efficiency, speed, and risk management, but investors must carefully comprehend their mechanics, assess strategies, and manage risks effectively when venturing into this dynamic realm.

Frequently Asked Questions

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uTrade Algo’s proprietary features—advanced strategy form, one of the fastest algorithmic trading backtesting engines, and pre-made strategies—help you level up your derivatives trading experience

The dashboard is a summarised view of how well your portfolios are doing, with fields such as Total P&L, Margin Available, Actively Traded Underlyings, Portfolio Name, and Respective Underlyings, etc. Use it to quickly gauge your algo trading strategy performance.

You can sign up with uTrade Algos and start using our algo trading software instantly. Please make sure to connect your Share India trading account with us as it’s essential for you to be able to trade in the live markets. Watch our explainer series to get started with your account.

While algo trading has been in use for decades now for a variety of purposes, its presence has been mainly limited to big institutions. With uTrade Algos you get institutional grade features at a marginal cost so that everyone can experience the power of algos and trade like a pro.

On uTrade Algos, beginners can start by subscribing to pre-built algos by industry experts, called uTrade Originals. The more advanced traders can create their own algo-enabled portfolios, with our no-code and easy-to-use order form, equipped with tons of features such as robust risk management, pre-made algorithmic trading strategy templates, payoff graphs, options chain, and a lot more.

From single-leg strategies to complex portfolios, with upto five strategies, each strategy having up to six legs, uTrade Algos gives one enough freedom to create almost any auto trading strategy one likes. What’s more, is that there are pre-built algos by industry experts for complete beginners and pre-made strategy templates for those who want to try their hand at strategy creation.

An interesting feature that uTrade Algos is bringing to the table is a set of pre-built algorithms curated by top-ranking industry experts who have seen the financial markets inside out. These algorithms, called uTrade Originals, will be available for subscribers on the platform.

Algos have the capability to fire orders to the exchange in milliseconds, a speed which is impossible in manual trading. That is why traders leverage the power of algo trading to make their efforts more streamlined and efficient. You can try uTrade Algos for free for 7 days!

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Knowledge Centre & Stories of Success

In the world of algorithmic trading, measuring performance goes beyond simply looking at profits. Here strategies are executed at lightning-fast speeds and hence, metrics beyond profits are needed to assess the robustness of it all. Among the various metrics, the PnL aka Profit and Loss is a critical metric that sheds light on the effectiveness of your algo trading strategy. 

Algorithmic trading has become increasingly popular among traders looking to automate their strategies and capitalise on market opportunities. With the rise of algorithmic trading platforms like the uTrade Algos algo trading app, traders have access to powerful tools and technologies to execute trades with precision and efficiency. However, to make the most of these tools, it's essential to optimise your algorithmic trades effectively. Let us explore seven essential tips for optimising your algorithmic trades using the app.

In algorithmic trading, where seconds can make a difference, having effective exit parameters is crucial for managing risk and improving the chances of returns. Global exit parameters serve as predefined rules or conditions that trigger the exit of a trade, ensuring disciplined and systematic trading. In this guide, we'll find out about the concept of global exit parameters, explore their significance in algo trading, and understand how they function in real-world trading scenarios.

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