One of the most common questions we get at Rawstocks is simple — and telling:
“How are these levels so accurate?”
Traders see our SPX narratives, our multi-ticker trade plans, and our intraday updates, and they want to know what’s behind them. What data are we using? How are these narratives built? And more importantly — can they be built consistently without guessing?
The answer is yes.
And the process is far more systematic than most traders realize.
Over the last 8–10 months, we’ve refined a workflow that combines Gamma Edge options data, price structure, time-based execution windows, and AI analysis to build dynamic intraday narratives that adapt as market conditions change.
This blog breaks down that process — not by giving away proprietary signals — but by teaching you how to think like an institutional trader intraday.
Why Static Trade Plans Aren’t Enough
Most traders rely on a single plan created pre-market and then trade it all day.
That’s a mistake.
Options markets are alive.
Delta shifts. Gamma flips. Charm and vanna decay. Dealers hedge and unwind.
A level that made sense at 8:30am can become irrelevant by 11:00am.
This is why Rawstocks doesn’t rely on static plans alone. Instead, we layer intraday narratives on top of those plans to capture how the story is changing throughout the session.
The Core Tools Behind Rawstocks Intraday Narratives
To build these narratives, we use three primary components:
1. Gamma Edge Web App (Options Structure)
Gamma Edge is our preferred options data provider because it gives us:
• Dealer gamma positioning
• Call- vs put-dominated regimes
• Expected move ranges
• Key gamma highs and lows
• Charm and vanna exposure
• Open interest concentration by strike
The data updates frequently and reflects real hedging pressure, not opinions.
Importantly — you don’t need to be a Greeks expert to use it effectively.
That’s where AI comes in.
2. Gamma Edge Discord Commands (NetStat)
Inside Gamma Edge’s Discord are powerful charting commands. One of the most useful for intraday work is NetStat.
This command shows:
• Highest positive and negative delta
• Highest gamma concentration
• Charm and vanna pressure
• Where dealer positioning is most sensitive
On its own, this can look overwhelming.
But when paired with AI, it becomes clarity instead of noise.
3. AI (ChatGPT) for Rapid Data Interpretation
Here’s the breakthrough most traders miss:
You don’t need to manually interpret every Greek.
Instead, we feed Gamma Edge data directly into AI, along with a strict logic prompt, and let it analyze:
• Dealer behavior
• Gamma regime
• Pin zones
• Upside caps
• Downside expansion risk
• Likely volatility behavior
AI excels at pattern recognition and structured analysis, especially with numerical data.
This allows us to generate institutional-style intraday narratives in seconds, not hours.
Why Time Matters: Intraday Narratives + Macro Windows
Data alone isn’t enough.
Timing matters.
That’s why Rawstocks aligns intraday narratives with high-probability time windows, including:
• Morning volatility windows
• Midday balance zones
• Lunch session inflection points
• Afternoon expansion or compression periods
Using our Flashpoint indicator, we focus only on macro execution windows — the times when reversals and expansions are statistically more likely.
We don’t over-analyze charts.
We let data + time + structure do the heavy lifting.
What an Intraday Narrative Tells You (That a Trade Plan Can’t)
A proper intraday narrative answers questions like:
• Is price pinned by dealer gamma or free to move?
• Are breakouts likely — or should fades be favored?
• Where is volatility suppressed or expanding?
• Which levels are magnets vs rejection zones?
• When should you stop targeting extension and trade balance instead?
This is why traders sometimes ask:
“Why didn’t TP hit today?”
The answer is usually simple — the narrative changed.
Without updating your view, you’re trading yesterday’s data in today’s market.
A Real Example: When the Narrative Nails the Cap
On a recent SPX session, an intraday narrative flagged 6950 as a firm upside cap.
Price tested it.
Rejected.
Tested again.
Rejected again.
That wasn’t luck — it was dealer positioning enforcing balance.
Traders who understood the narrative could:
• Trade into the level
• Fade the rejection
• Avoid chasing a breakout that never came
This is the difference between reacting emotionally and trading structurally.
Why This Matters for Options Traders
Options pricing is driven by:
• Delta
• Gamma
• Charm
• Vanna
• Time decay
• Dealer hedging
Ignoring these forces is like trading blindfolded.
Using Gamma Edge + AI allows traders to interpret these forces quickly, without memorizing textbooks or staring at spreadsheets mid-session.
You Don’t Have to Do This Alone
While Rawstocks only publishes SPX intraday narratives publicly, we’ve made it possible for members to:
• Request Gamma Edge data
• Learn the narrative-building process
• Use AI to analyze intraday structure
• Adapt trade plans in real time
You can even practice this without a Gamma Edge subscription by requesting data inside the Rawstocks Discord — although having direct access is strongly recommended if you’re serious about options trading.
The Bigger Picture: Tools Matter
If you want to trade options professionally, you need professional tools.
• You can’t trade gamma without seeing gamma
• You can’t trade dealer behavior without dealer data
• You can’t adapt intraday without live updates
Gamma Edge is one of the right tools for the job, which is why Rawstocks uses it as our core options data provider.
Final Thoughts
Intraday trading isn’t about predicting the future.
It’s about interpreting the present — faster and more accurately than the crowd.
By combining:
• Gamma Edge
• Structured time windows
• AI analysis
• Clear narrative formats
Rawstocks traders gain an edge most retail traders never develop.
And this is just the beginning.
More AI-based trading workflows, live learning sessions, and advanced modules are coming soon.
Read about Rawstocks Co-Owner and Master Trader (Optionscalps/CoolaDoola) here.