The most common use of QW Intelligence is finding trade candidates. Rather than clicking through the Find Deals screener's filters, you describe what you want in natural language and QW Intelligence produces a shortlist. This page covers effective prompt patterns for cash-secured puts, covered calls, and general opportunity research.
Before you start
Required:
- QuantWheel PRO for signed-in use, or Sandbox if you are previewing the chat before signing up.
- Familiarity with the chat interface. See How to use QW Intelligence if you haven't.
Time to complete: 8 minutes
Prompt patterns that work well
For cash-secured puts
Useful CSP prompts combine a universe (which tickers), filters (which criteria), and an outcome (how many candidates, sorted by what).
Good prompt structure:
"Find cash-secured puts on [where] with [filter 1], [filter 2], sorted by [metric]. Limit to [N] candidates."
Examples that follow this pattern:
- "Find cash-secured puts on my Core Wheel watchlist with delta between -0.20 and -0.30, 30-45 days to expiration, sorted by annualized yield. Limit to 5."
- "Find low-risk cash-secured puts on quality oversold companies with RSI under 40 and market cap above 10B."
- "CSPs on SPY and QQQ with 0.25 delta and at least 25% annualized yield."
The narrower the universe (watchlist, specific tickers) and filters, the more actionable the shortlist.
For covered calls
Covered call prompts work slightly differently. The universe is typically your existing positions (you need the shares first), and the filters focus on premium capture vs. assignment risk.
"Find covered calls for my [position or ticker] with [delta range], expiring in [timeframe]."
Examples:
- "Covered calls for my AAPL position with low assignment risk, 30 days out."
- "Show me covered calls for all my stock positions with delta around 0.30 and IV rank above 50."
- "Which of my covered call candidates have the best premium-to-risk ratio right now?"
The second example is useful β QW Intelligence can iterate across all your held positions simultaneously, something harder to do in the screener manually.
For research and exploration
Some prompts aren't looking for a specific list β they're looking for context. These work too.
Examples:
- "What's the IV environment for large-cap tech right now?"
- "Which sectors have the highest average IV rank today?"
- "Compare current IV for SPY, QQQ, and IWM."
- "Is there anything interesting happening in energy stocks this week?"
These return narrative responses with supporting data rather than trade lists. Useful when orienting for the day or exploring a sector you don't follow closely.
πΈ SCREENSHOT: ask-about-opportunities-step-1.png
Prompt components that narrow the response
Delta ranges
Delta is the most common filter for wheel strategies. Mentioning a range sharpens the shortlist:
- "...with delta between -0.20 and -0.30" (conservative wheel territory)
- "...delta around -0.40" (more aggressive)
- "...delta -0.15 or tighter" (very conservative, lower premium)
Days to expiration (DTE)
Wheel traders typically focus on 21-45 DTE. Including the window narrows results:
- "...30-45 days to expiration"
- "...expiring in 3-4 weeks"
- "...weekly expirations"
Yield targets
A minimum annualized yield filters out low-premium candidates:
- "...with annualized yield above 25%"
- "...at least 35% yield annualized"
Technical indicators
Oversold/overbought filters, moving averages, and other TA can be part of the prompt:
- "...with RSI under 40"
- "...below the 50-day moving average"
- "...not within 5% of 52-week high"
Fundamentals
Market cap, sector, and basic fundamentals work:
- "...large-cap only, over $10B market cap"
- "...tech sector"
- "...profitable companies only"
Watchlist scope
If you've saved watchlists, scoping to one is the cleanest filter:
- "...from my Dividend Stocks watchlist"
- "...from my Oversold Candidates list"
πΈ SCREENSHOT: ask-about-opportunities-step-2.png
Using follow-ups to refine
QW Intelligence remembers conversation context. Follow-up prompts build on previous responses without repeating the original criteria.
Starting prompt: "Find cash-secured puts on my watchlist with delta -0.20 to -0.30 and 30-45 DTE."
Follow-ups that refine:
- "Now sort those by Rating descending."
- "Filter out anything with earnings in the next 2 weeks."
- "Show me only the ones on large-cap tech."
- "Explain why the first candidate has a higher Rating than the second."
- "Open Find Deals with these filters."
Each follow-up refines the context, not just one response. You converge on a shortlist through iteration.
Pro tips
State what you want the output to look like
If you want a table, ask for one: "Show me the candidates in a table with ticker, strike, expiration, delta, yield, and Rating." If you want a ranked list, ask for ranking: "Rank these five by Rating."
Ask for the reasoning
After a shortlist, ask "Why did you pick these specifically?" or "What made these better than other candidates in my watchlist?" The explanation is often more educational than the list itself.
Save useful prompts
If a prompt consistently produces good results, save it somewhere outside the chat. QW Intelligence conversations aren't a prompt library; treating them as one means rewriting useful prompts later. A note in your favorite notes app or a saved message works.
Don't ask for guarantees
QW Intelligence won't guarantee any candidate will be profitable. Prompts like "What's a guaranteed winner for this week?" produce disclaimers, not recommendations. Ask about probabilities, edge, and structural advantages instead β those produce more useful answers.
πΈ SCREENSHOT: ask-about-opportunities-step-3.png
Common issues
QW Intelligence returns candidates I don't want.
The prompt wasn't specific enough. Add filters until the universe narrows. "CSPs on tech" returns hundreds of possibilities; "CSPs on large-cap tech with delta -0.25 on my watchlist" returns a manageable shortlist.
Responses are slow when I include many filters.
Complex multi-filter prompts take longer to evaluate. If a response is taking too long, try splitting into steps β start with 1-2 filters, then refine with follow-ups.
QW Intelligence gave me a candidate but my screener doesn't show it.
Two possibilities: (1) the screener has filters set more restrictively than the chat prompt, so the same ticker is excluded; (2) the chat-surface time and the screener-refresh time differ slightly. Open Find Deals through the chat's "Open in Find Deals" button to force consistent filters.
Can QW Intelligence handle complex strategies like spreads and strangles?
Basic multi-leg strategies (credit spreads, strangles, iron condors) are supported in the prompt language. The breadth of support varies β CSPs and covered calls are the most deeply supported; more exotic strategies may get partial responses. Test with a specific prompt to see.
Can I rerun a past conversation's prompts later?
Yes. Return to the conversation in the sidebar list. The prompts and responses persist; you can send new follow-ups that extend the old conversation.
Related
- How to use QW Intelligence
- How to ask QW Intelligence about your portfolio
- How to use the Find Deals screener
Risk disclaimer: Options trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. This content is for educational purposes only and is not investment advice.