How to Prompt Gemini or Perplexity to Find Covered Calls With the Highest Premium Relative to Risk on Your Watchlist

The Short Answer: What to Ask and Why It Works

You can prompt Gemini or Perplexity to compare covered-call opportunities on your watchlist by giving them a structured template that asks for premium yield, implied volatility rank, and delta side by side. Neither tool executes trades or pulls live brokerage data, but both can reason through the math and help you rank candidates once you paste in the numbers. The key is writing a prompt that forces the AI to do apples-to-apples math instead of giving you vague qualitative commentary.

This article gives you copy-paste prompt templates, a worked numerical example using AAPL and NVDA, and a clear-eyed look at what these tools can and cannot do for covered-call traders.

Why Most Traders Prompt AI Wrong

Most retail traders type something like 'What is the best covered call to sell this week?' That question produces a generic answer because the AI has no idea what stocks you own, what your cost basis is, or how much risk you are willing to take.

A better prompt gives the AI a role, a data table, and a specific output format. Think of it like hiring a junior analyst. You would not tell a new hire 'find me good trades.' You would hand them a spreadsheet and say 'rank these five positions by annualized premium yield, flag any where delta is above 0.35, and tell me which one has the best reward-to-risk ratio given the implied move.' That is exactly how you should talk to Gemini or Perplexity.

The Core Prompt Template (Copy and Paste This)

Below is a prompt template you can drop directly into Gemini Advanced or Perplexity Pro. Replace the bracketed fields with your own data before sending.

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You are a covered-call income analyst. I own shares in the following stocks and I want to sell one out-of-the-money covered call per position. Here is my data table:

Ticker | Shares Owned | Current Stock Price | Strike I'm Considering | Days to Expiration | Bid Premium Per Contract | Implied Volatility (IV) | Delta of Strike [AAPL] | [100] | [$189] | [$195] | [21] | [$1.85] | [22%] | [0.28] [NVDA] | [100] | [$875] | [$920] | [21] | [$14.20] | [48%] | [0.30]

For each ticker, calculate: (1) annualized premium yield as a percentage of the current stock price, (2) premium as a percentage of the distance between the current price and the strike (the 'cushion'), and (3) a simple reward-to-risk score defined as annualized yield divided by delta. Rank the tickers from best to worst on that reward-to-risk score. Flag any ticker where delta exceeds 0.35 or where IV rank is below 20 if I provide that data. Explain your ranking in plain English in three sentences or fewer per ticker.

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This structure forces the AI to do consistent math across every row. You get a ranked output you can act on in minutes.

Worked Example: AAPL vs. NVDA Side by Side

Let's run the math manually so you can verify what the AI should produce.

AAPL scenario: Stock at $189. You are considering the $195 strike, 21 days to expiration, bid premium $1.85, delta 0.28. - Annualized premium yield: ($1.85 / $189) × (365 / 21) = 0.98% × 17.38 = roughly 17.0% annualized. - Premium as a percentage of cushion: $1.85 / ($195 − $189) = $1.85 / $6.00 = 30.8%. This tells you how much of the gap to the strike you are collecting upfront. - Reward-to-risk score: 17.0 / 0.28 = 60.7.

NVDA scenario: Stock at $875. You are considering the $920 strike, 21 days to expiration, bid premium $14.20, delta 0.30. - Annualized premium yield: ($14.20 / $875) × (365 / 21) = 1.62% × 17.38 = roughly 28.2% annualized. - Premium as a percentage of cushion: $14.20 / ($920 − $875) = $14.20 / $45.00 = 31.6%. - Reward-to-risk score: 28.2 / 0.30 = 94.0.

On this scoring system, NVDA ranks higher. But notice that NVDA's higher annualized yield comes almost entirely from its higher implied volatility (48% vs. 22%). Higher IV means the market is pricing in a bigger expected move, which is the risk you are being paid to absorb. A good prompt will surface this trade-off explicitly, and a good AI response will flag it.

When you paste this data into Gemini or Perplexity using the template above, you should see output that matches this math closely. If the numbers diverge, ask the AI to show its work step by step.

What These AI Tools Actually Cannot Do — Read This Before You Trade

Gemini and Perplexity are reasoning engines, not live market data feeds. This distinction matters a lot for options traders.

First, neither tool has real-time bid/ask quotes. The premiums you paste in are only valid for a few minutes in a fast market. Always verify current quotes in your brokerage platform or on the CBOE's website before placing an order. The CBOE operates the largest U.S. options exchange and publishes delayed quotes publicly.

Second, AI tools do not know your cost basis, your tax situation, or your account type. The IRS treats covered-call premiums as short-term ordinary income in most cases, and specific rules around qualified covered calls can affect how your long stock position is taxed. In Canada, the CRA has its own rules about whether options premiums are income or capital gains. Consult a tax professional before making decisions based on AI output alone. FINRA also reminds retail investors that options involve risk and are not suitable for all investors — your broker is required to approve you for options trading based on your experience and financial situation.

Third, the AI cannot see your broker's margin requirements, assignment risk, or early-exercise risk on American-style options. The Options Industry Council (OIC) offers free educational resources that explain assignment risk in detail, and it is worth reviewing those before selling calls on high-volatility names like NVDA.

Fourth, high annualized yield is not the same as low risk. A 28% annualized yield on NVDA looks attractive until the stock gaps up 15% on an earnings surprise and your shares get called away at a loss relative to where the stock ends up. Always check the earnings calendar before selling a call that spans a report date.

How to Refine Your Prompt for Better Results

Once you have the basic ranking, you can add follow-up prompts to dig deeper. Here are three refinements that experienced covered-call traders find useful.

Add an IV rank filter. Paste in the 52-week IV high and low for each ticker and ask the AI to calculate IV rank: (current IV − 52-week low IV) / (52-week high IV − 52-week low IV) × 100. An IV rank above 50 means you are selling premium when volatility is relatively elevated, which is generally favorable for sellers. Ask the AI to flag any ticker with IV rank below 30 as a lower-priority candidate.

Ask for a break-even table. Prompt the AI: 'For each ticker, calculate the downside break-even price, defined as current stock price minus the premium collected. Express this as a percentage decline from the current price.' This tells you how far the stock can fall before you are worse off than if you had just held shares.

Request a scenario analysis. Ask: 'If the stock closes exactly at the strike price at expiration, what is my total return on the position including the premium? If the stock closes 10% below the current price, what is my net loss per share after subtracting the premium received?' This forces the AI to think through both the upside cap and the downside cushion in concrete dollar terms, not just percentages.

Building a Repeatable Weekly Workflow

The traders who get the most out of AI-assisted screening treat it as a repeatable process, not a one-off experiment. Here is a simple weekly workflow you can run in under 30 minutes.

Every Monday morning, pull the current price, the at-the-money IV, and the bid premium for your preferred strike and expiration on each stock in your watchlist. Most brokers display this on the options chain. Paste the data into your saved prompt template. Run it through Gemini or Perplexity. Review the ranked output and cross-check the top one or two candidates manually in your brokerage platform to confirm the bid is still valid and no earnings are scheduled before expiration.

Save your prompt as a text file or a note in your phone. Each week you only need to update the numbers in the data table — the instructions stay the same. Over time you will build a log of which prompts produced the most useful output, and you can refine the scoring formula to match your personal risk tolerance. Some traders weight delta more heavily; others care more about the cushion percentage. The AI will follow whatever formula you give it consistently.

Can Gemini or Perplexity pull live options quotes from my brokerage?

No. Neither Gemini nor Perplexity connects to your brokerage account or pulls live bid/ask data from options exchanges. You need to copy the current quotes from your broker's options chain or from the CBOE's website and paste them into your prompt. Always verify the numbers are still current before placing any order.

What does 'premium relative to risk' actually mean for a covered call?

It means comparing how much income you collect against how likely the call is to be exercised against you and how much upside you are giving up. A common shortcut is dividing the annualized premium yield by the option's delta, since delta approximates the probability the option finishes in the money. A higher ratio means you are collecting more income per unit of assignment risk.

Is the income I earn from selling covered calls taxed as ordinary income?

In most cases, yes. The IRS generally treats premiums received from selling covered calls as short-term ordinary income in the year you receive them, though the rules around qualified covered calls can affect the holding period of your underlying shares. Canadian investors should check CRA guidance, as the tax treatment can differ depending on whether options activity is considered a business or capital transaction. Always consult a qualified tax professional for your specific situation.

What delta should I target when selling covered calls for income?

Most income-focused covered-call sellers target a delta between 0.20 and 0.35. A delta of 0.30 means the option has roughly a 30% chance of expiring in the money based on current market pricing, according to the Options Industry Council. Lower delta means less assignment risk but also less premium collected, so the right level depends on your income goals and how willing you are to have shares called away.

How do I know if implied volatility is high enough to make selling a call worthwhile?

Calculate IV rank by comparing the current IV to the stock's 52-week IV range: (current IV minus 52-week low) divided by (52-week high minus 52-week low), expressed as a percentage. An IV rank above 50 generally means you are selling premium at a relatively elevated level, which favors the seller. You can ask Gemini or Perplexity to calculate this for you if you paste in the three IV data points.

Do I need special brokerage approval to sell covered calls?

Yes. FINRA requires brokers to approve customers for options trading based on their investment experience, financial situation, and risk tolerance before they can sell covered calls. Covered calls are typically the lowest approval tier (Level 1) since you already own the underlying shares, but you still need to complete your broker's options agreement. Check with your specific broker for their requirements.