What QW Intelligence can and can't do

QW Intelligence is a research and analysis tool, not an execution tool. Understanding where its capability ends is as important as understanding where it begins. This page is the short version of the boundary conditions — what the AI will do, what it won't, and where its data runs out.

Before you start

Required:

Familiarity with QW Intelligence basics. See How to use QW Intelligence.

Time to complete: 8 minutes

What QW Intelligence will do

Find candidates matching criteria

Given a universe and filters, QW Intelligence returns a shortlist. This is where the tool is strongest — "CSPs on large-cap tech with delta -0.25 and DTE 30-45" is a query it handles cleanly.

Explain concepts and metrics

"What does the Rating mean?" "Why is IV rank 70 considered high?" "What's the difference between Real Cost and cost basis?" Educational prompts produce solid explanations tied to how QuantWheel uses the concepts.

Summarize portfolio state

On PRO, questions about your positions, performance, and trading history get consolidated answers — faster than navigating Journal tabs for the same information.

Open linked tools with context

A chat response often includes buttons that open Find Deals, GEX AI, or the Journal with the conversation's filters pre-applied. This handoff from chat to direct tool is the typical action path.

Generate comparisons

"Compare IV ranks for tech vs. energy right now" or "How does my July performance compare to my June?" — QW Intelligence handles these joins across data that would take multiple manual steps.

What QW Intelligence won't do

Execute trades

Chat is informational. No chat prompt places a trade in your broker. Not "Buy 2 NVDA calls expiring Friday", not "Roll my SPY put out 30 days", not even a hypothetical "If I agreed to a trade, could you place it?" — trade execution happens in your broker, never through chat.

This is intentional. Auto-execution from a conversational AI would create significant risk; keeping the human click in the loop prevents reckless trades from casual prompts.

Guarantee outcomes

QW Intelligence will not say "this trade is guaranteed to profit" or "this CSP will definitely expire worthless." It also won't make projections framed as certainties — responses that involve forward-looking claims are couched in probability and edge terms, with explicit reminders that markets are uncertain.

This is both a safety measure and an accuracy one — no options trade has a guaranteed outcome; framing any trade as certain would be factually wrong.

Replace your judgment

On any trade-candidate response, QW Intelligence suggests candidates for you to evaluate. The language is deliberately "here are candidates to consider," not "you should take this trade." The evaluation step — whether the trade fits your account, risk tolerance, and strategy — is always yours.

Users who treat chat output as direct instructions lose this layer of oversight. It's a common mistake that leads to trades that didn't actually fit the user's situation.

Access data outside your account

Your positions, your journal, your watchlists, your trading history, and general market data — all accessible. But QW Intelligence doesn't see:

Other users' portfolios (including traders you follow via Copy Trading)
Any broker account you haven't connected
Your broker credentials or banking info
Any account identity beyond your display name
Data from tickers not supported by QuantWheel's market data feed

Make specific stock picks without framing

QW Intelligence won't deliver "buy NVDA" as a recommendation in isolation. Even when a candidate ticker is surfaced from a screening prompt, the response frames it as "here's a candidate matching your criteria," not "you should go long NVDA."

The distinction matters because specific stock picks without context are investment advice; candidate surfacing against your stated filters is research.

Provide tax or legal advice

Questions about tax treatment, regulatory compliance, or legal implications get general educational responses and a redirect to a qualified professional. QW Intelligence isn't licensed to give tax or legal advice, and won't pretend otherwise.

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Data freshness limits

Real-time within reason

Market data (prices, IV, greeks, GEX metrics) is real-time for supported tickers during market hours. Small lag (seconds) between the actual market and what chat sees is possible.

Your positions reflect the last sync

Portfolio data is current as of the last broker sync. If your broker syncs every 30 minutes, chat's view of your positions could be up to 30 minutes stale. Check the sync status on Settings → Broker Integration if freshness matters.

Historical data has depth limits

QW Intelligence can query your full trading history as long as it's in the Journal. For dates before you connected your broker (or before CSV imports), the data simply isn't there.

Some tickers have limited data

Low-liquidity tickers, recently-listed names, and some international securities have thinner data feeds. Chat responses will note when data is limited for a specific ticker.

Where chat genuinely beats screens

Not everything chat does is better than the direct UI. But a few things are:

Cross-cutting queries. "Do I make more on monthly or weekly expirations?" requires joining transaction data, grouping by DTE, and calculating averages. Chat does this in one prompt; clicking through Journal would take 10+ minutes.
Natural-language filtering. "CSPs on large-cap tech" compiles to market cap + sector + strategy filters. The screener handles this too, but typing the sentence is faster than configuring the filters.
Following questions. Once you have results, chat lets you refine with follow-ups without rebuilding the search. The screener requires you to adjust filters in-place.

Where the direct UI genuinely beats chat

Exact filter precision. The Find Deals screener exposes every filter field directly. Chat's translation of natural language to filters is close but not always exact.
Speed on routine screens. A saved filter combination runs in two clicks. The equivalent chat prompt takes longer to type and longer to respond.
Visual pattern matching. A GEX Heatmap or a Profit View chart communicates shape and structure faster than any chat response can summarize.

Use chat and direct UI in combination. Chat for exploration and for cross-cutting questions; direct UI for precise operations and visual analysis.

Common misconceptions

"The AI knows best."

It knows the data. It doesn't know your goals, your risk tolerance, your tax situation, or your account context. Combining its data access with your judgment is the right model.

"If the AI gives me 5 candidates, I should take all 5."

Shortlists are starting points. Take the ones that fit after your own evaluation. A shortlist of 5 might yield 0, 1, or 2 actual trades for your account.

"Chat should be my primary trading interface."

Chat is great for some things, but losing the visual pattern-recognition you get from charts, heatmaps, and direct filter panels is a cost. Most effective QuantWheel users split time between chat and direct UI.

"QW Intelligence is always accurate."

AI responses can be wrong. Numbers can be miscalculated, data can be misread, inferences can be off. Cross-check important claims against direct product views before acting on them.

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.