Blog 4: Kicking Off 2026: Setting Targets and a Risk Framework for Options Trading

Happy 2026! It’s time to outline an options trading approach with clear targets and a robust risk management framework.

The Aspiration: A $10,000 Goal

First, let’s set a goal for the year. An ambitious, but achievable, target for annual options trading profit: $10,000. This annual goal breaks down to approximately $840 in profit per month.

The Mechanics: Notional Value and Premiums

To achieve this, let’s look at the math, assuming we target a premium equal to 1% of the option contract’s notional value. An option contract typically covers 100 shares of the underlying stock. If the stock price (and strike price) is $40, the notional value of one contract is $4,000 (100 shares * $40/share).

A 1% premium would net us $40 per contract. To reach our monthly target of $840, we would need to write 21 options contracts per month at this $4,000 notional value ($840 / $40 = 21 contracts). If we want these trades to be fully cash-covered—meaning we have enough cash on hand to buy the stocks if we are “assigned”—we would need $84,000 in a cash or cash-like account.

Balancing Risk and Reward

We can, of course, aim for higher premiums. This is achieved in two primary ways:

  1. Trading Riskier Stocks: Focusing on stocks with higher implied volatility.
  2. Selling “Closer to the Money”: Selling options that are less “out-of-the-money” (OTM).

The second approach reduces our “margin of safety” (a term borrowed from value investing), increasing the likelihood of being assigned the stock. Getting assigned triggers taxes and transaction costs, which eat into profits, so we generally want to avoid it if the goal is purely premium collection.

Managing Assignment

One strategy to avoid assignment is to buy back the option before it expires. We might do this at a lower price to realise most of the profit early, or at a higher price to cut a loss.

However, a core principle remains: only write options on stocks you are comfortable owning at the strike price. We should always be happy to get assigned the underlying stock, which means focusing on quality companies with attractive characteristics.

Diversification also plays a key role. Writing options on different companies reduces the likelihood of all contracts ending “in-the-money” (ITM) simultaneously, leveraging the fact that stocks are not perfectly correlated. In reality, however, if markets start to correct, all options will probably get exercised at the worst possible time.

The Role of Leverage and Risk Management

Enter risk management. Overleveraging—writing options for a notional amount that far exceeds your available cash—is a recipe for trouble. A modest amount of leverage is acceptable (using other portfolio assets as collateral), but don’t overdo it.

My comfort zone is writing options for a notional value up to 20% more than the cash available.

  • With our $84,000 cash example, this means we can manage up to $100,000 in total notional value ($84,000 * 1.2).

The Delta Metric

To judge the likelihood of an option ending up ITM, traders often look at the option’s delta (based on the Black-Scholes model). Delta can be interpreted as the probability of the option being exercised.

  • A put option with a delta of -0.2 suggests a 1 in 5 chance of assignment.

Ideally, we want a low delta, though this means a lower premium. I find that a delta range of -0.1 to -0.2 offers the ideal balance of premium and safety.

There are plenty of considerations when trading options. I have studied Hull’s Options, futures, and other derivatives in depth at University. and I have read the work of Nassim Taleb. I am familiar with the math behind parametric and non-parametric option pricing and its limitations. To keep this blog accessible to a broader audience, I use a simple conservative framework.

My 6-Point Risk Management Framework (for now)

Here is the personal framework I will follow for my 2026 trading:

  1. Leverage Limit: Only write options up to a maximum of 1.2 times available cash (20% leverage).
  2. Delta Limit: Only write put options with a delta of -0.2 or greater (less than 20% probability of exercise).
  3. Pacing: Write a maximum of 2 options per day.
  4. Concentration: Write a maximum of 2 options on any single company to maintain diversification.
  5. Order Type: Only use limit orders at the prevailing Ask price (more on this below).
  6. Timing: Avoid earnings report days due to heightened volatility.

The “Patience” Rules (3 and 5 Explained)

  • Rule 3 (Pacing): High market volatility can bring optically high premiums, tempting us to deploy capital too quickly. ‘Mechanically’ spreading trades over time helps us avoid getting fully invested at a market peak.
  • Rule 5 (Limit Orders/Providing Liquidity): When you immediately buy at the “Ask” or sell at the “Bid” price, you “cross the spread” and pay for impatience. Instead, we act as a patient “market maker” by setting a limit order at the Ask and waiting for the market to come to us. This patience can capture the spread (often around $3) as an extra margin of safety, and it also slows down the investment process, allowing time for reflection (and order cancellation if needed).

That is my option trading framework I set out for myself for now. It may change along the way, in which case I will definitely update it. In the next post, I’ll dive into my first trade and discuss option liquidity in more detail because I think execution and keeping emotions in check is very important.

Happy trading!

Disclaimer

The information provided in this blog post is for informational and educational purposes only and is not intended as investment advice. Options trading involves a high degree of risk and is not suitable for all investors. The hypothetical targets, strategies, and examples discussed do not guarantee future results.

Readers should be aware that past performance is not indicative of future results. It is essential to conduct your own research and due diligence, or consult with a qualified financial professional, before making any investment decisions. The author is not a registered financial advisor.