edgeful AI is a deep research tool. that's the most accurate frame for it — and understanding that frame will save you a lot of frustration.

it's not a daily prep shortcut. it's not a trade caller. it's not a market commentator. it's a research assistant with access to edgeful's full report library, built for the kind of thorough, data-backed analysis that takes time to do manually.

use it when you want to go deep. use the screener and WIP when you need to move fast.

pattern hunting across date ranges

one of the most powerful things you can do with edgeful AI is investigate whether a pattern has changed over time. asking how a setup has behaved over the last 3 months vs the last year — and whether that edge has strengthened, weakened, or stayed consistent — is exactly the kind of analysis it's built for. the answer shapes how much conviction you should have in that setup today.

cross-report correlation analysis

combining multiple reports and asking the AI to find where they align — or where they contradict each other — is where edgeful AI earns its place. this isn't something you can do quickly on the report pages. pulling together data from 2 or 3 reports and looking for shared patterns across a ticker takes the kind of synthesis that the AI handles well and that manual analysis would take much longer to do.

building a report that doesn't exist yet

if the measurement you want isn't one of edgeful's reports at all, you can have edgeful AI build it. in the build tab you describe the report in plain English and it writes and runs the analysis, then saves it as something you can re-run on any ticker, session, and date range. see how to build custom reports with edgeful AI.

pre-trade deep dives

before trading a setup you haven't run before, you can use edgeful AI to understand the full historical picture. not just "is this green on the screener today" but "what does this setup look like across the last 6 months, which days are strongest, what conditions does it tend to fail on." that depth of context changes how you approach the trade.

report deep dives per ticker

going past the summary view on any report page and asking the AI to walk you through the full data for a specific ticker, session, and date range. useful when a screener reading caught your eye and you want to understand what's behind it before acting on it.

give financial advice or trade recommendations

edgeful AI presents historical data. it won't tell you to buy, sell, or hold. it won't tell you where to put your stop or how much to risk. it's a data tool — the interpretation and decision are yours.

predict future price movement

this one is worth being direct about: nothing on edgeful predicts what price will do next. the platform shows you what has happened historically under similar conditions. edgeful AI works the same way. "will NQ go up today?" isn't a question it can answer — because the answer doesn't exist in historical data.

explain why price moved

edgeful AI works from statistical patterns, not market fundamentals, macro events, or news. if price did something unusual on a specific date, the AI can tell you what the data looked like that day — but it can't explain the cause. causation is outside its scope.

provide live or real-time data

every data point in edgeful AI's output is historical. it can't tell you what price is doing right now, whether a setup is actively forming, or what the current WIP readings are. for live data, use the screener and WIP.

access your personal account or trade history

edgeful AI has no visibility into your trades, your P&L, your entries, your open positions, or anything specific to your account. its knowledge is edgeful's market data, not your individual activity.

always be right

like any AI, edgeful AI can occasionally misread data, misinterpret a question, or produce a response that doesn't quite match what you were asking. treat its outputs as a strong starting point, not a final authority. when precision matters, cross-check against the actual report page.

this one comes up a lot, so it's worth being direct. the structured Analyze Reports flow supports a specific set of reports — 18 as of July 2026 — and the full named list is in how to analyze reports with edgeful AI. that set is the same on every plan.

if you hit a report Analyze Reports doesn't cover yet, that's not a paywall and it's not tied to your tier. edgeful AI, and the 3-million-token monthly allowance that powers it, are identical across essential, pro, and all access — there's no "more AI" on a higher plan. a report simply not being wired into the structured picker yet is a coverage gap, not a plan restriction.

for anything outside the picker, use free-form chat — the AI can still discuss and analyze edgeful's full report library there, including reports like the fair value gaps (FVG) report, it just won't build a structured data table for them yet. (to be clear: the FVG report does exist on the platform — it's simply not in the structured Analyze Reports picker yet, the same as any other report outside the current set of 18.) the picker keeps growing based on what members ask for — Asian Range Breakout and FVG are both recent requests — so if there's a report you want added to the structured flow, let support know.

and if the report you want doesn't exist on edgeful at all, you don't have to wait for it. custom reports in the build tab of edgeful AI let you describe a report in plain English, have edgeful AI write and run the analysis, then save it and run it over any ticker, session, and date range. custom reports are included on every plan too — essential, pro, and all access — so there's nothing to upgrade before you use them. full walkthrough: how to build custom reports with edgeful AI.

the screener and WIP are your daily prep tools. they're visual, fast, and designed to be scanned in a few minutes before the open. edgeful AI is neither of those things.

running an Analyze Reports wizard each morning and then asking follow-up questions takes more time than pulling up the screener — and it's solving a different problem. the screener shows you the directional read across your watchlist right now. edgeful AI helps you understand the depth behind any one of those reads.

the right workflow is: use the screener for your daily bias, then use edgeful AI when something catches your eye and you want to go deeper before acting on it.

edgeful AI runs on a monthly token allowance — 3 million tokens, the same on every plan — and deep research is the part of the platform that uses them. heavy multi-report Analyze Reports runs and long back-and-forth threads spend the most, so it's worth knowing how usage is measured and how to make it last.

the full breakdown — how it's measured, when it resets, how to conserve tokens, and what to do if the AI gets stuck loading or blocks you well under the cap — is in edgeful AI.