edgeful AI launched on February 28, 2026. it connects directly to the platform's report data and answers natural language questions about it. ask it to find patterns across gap fills, initial balance breakouts, and opening candle continuation simultaneously, and it reads the raw data and gives you answers that would take hours to find manually.

edgeful AI has been live since february 2026 and reads 16 main reports. this is the complete guide to what edgeful AI does and how traders use it.

table of contents

• what is edgeful AI?
• how edgeful AI works
• what you can ask edgeful AI
• edgeful AI for cross-report analysis
• what edgeful AI is not
• edgeful AI tips and best practices
• edgeful AI pricing
• key takeaways

what is edgeful AI?

edgeful AI is a deep research tool built into the edgeful platform. it reads the actual raw data from your selected reports and answers questions about it in plain language.

this is not a generic chatbot that gives you canned trading advice. it's not ChatGPT with a trading skin on it. edgeful AI connects directly to the same data that powers the 150+ reports on the platform and analyzes it on demand.

you can load gap fill data for NQ over the last 6 months in the NY session, then ask "what weekday has the highest fill rate?" and the AI reads the actual numbers and tells you. no guessing, no generic answers.

edgeful AI reads 16 main reports. it can analyze them individually or combine multiple reports in the same conversation for cross-report pattern discovery.

how edgeful AI works

the setup process:

1. open edgeful AI from the left sidebar in the dashboard
2. create a new chat
3. click "analyze reports" to configure your analysis
4. select your parameters:

• date range (applies across all selected reports)
• report (gap fill, IB, ORB, OCC, etc.)
• subreport (if applicable)
• ticker (ES, NQ, GC, etc.)
• session (NY, London, Asian, etc.)
• customizations (pulls from your current dashboard settings)

1. add more reports by clicking "add" (e.g., load gap fill + IB + OCC together)
2. click "analyze" and the AI loads all the raw data
3. ask questions in plain language

after analysis, a data panel opens showing all columns from the selected reports. columns are color-coded by report so you can see which data comes from where. universal columns across all reports include date, weekday, and day result (session closed green or red).

every AI response includes a follow-up question suggestion so you never get stuck on what to ask next. if a response is long, a TLDR summary appears at the bottom.

what you can ask edgeful AI

edgeful AI handles natural language questions about the loaded report data. here are the types of questions traders are using:

single-report pattern discovery

• "what weekday has the highest double break rate?"
• "which gap sizes fill most often?"
• "what's the average spike on gap down days?"
• "show me the fill rate by day of the week for the last 6 months"

cross-report analysis

• "look at all double break days and find commonalities across both reports"
• "on days where the gap didn't fill, what did the IB do?"
• "compare fill rates on days where the opening candle was bearish vs bullish"
• "what patterns do the most profitable IB breakout days have in common?"

ask in plain english

• "what questions can I ask you about these two reports?"
• "tell me every day where the gap didn't fill and find commonalities"
• "find the 3 most interesting patterns in this data"

the AI uses column labels from the data panel for precision. you can also use natural language, though the AI may need to make assumptions about which columns you mean. for the most accurate answers, reference the exact column names visible in the data panel.

edgeful AI for cross-report analysis

this is where edgeful AI provides the most value. the platform has 150+ reports with dozens of subreports each. manually comparing data across multiple reports is possible but time-consuming. edgeful AI does it in seconds.

the most common cross-report workflows:

• gap fill + opening candle continuation. load both reports for the same ticker and session. ask the AI if gap fill rates are different on days with a green vs red opening candle. this tells you whether direction after the first hour affects gap fill outcomes.
• IB + OCC. the ultimate bullish setup combines these two reports. load both and ask the AI what happens when the opening candle is green AND the IB breaks to the upside. the AI finds the specific days where both conditions align and shows you the outcomes.
• gap fill + outside days + ICT midnight open. three reversal reports loaded together. ask the AI to find days where all three levels aligned and measure the reversal success rate. this is the data behind the ultimate reversal setup.

according to edgeful data, the AI reads 16 main reports and can analyze them individually or in any combination. the more reports you load, the more connections it can find.

what edgeful AI is not

being clear about the boundaries:

• not a daily prep tool. edgeful AI is built for deep research, not quick "what should I trade today" answers. it's more like a data analyst you can ask questions on demand
• not a signal generator. it won't tell you to buy or sell. it reads historical data and finds patterns. what you do with that information is your decision
• not a replacement for the reports. the reports are still the core of the platform. edgeful AI is a research layer on top of that data
• not a generic chatbot. it doesn't give general trading advice. it only answers questions about the specific report data you've loaded into the conversation

edgeful AI is a deep research tool. the traders who get the most out of it are the ones who use it to dig into specific questions they can't answer quickly by looking at the reports alone.

edgeful AI tips and best practices

• use exact column names. the data panel shows all available columns from your loaded reports. referencing these exact labels gives you the most precise answers. "break type" is more accurate than "how it broke out."
• start broad, then drill down. ask "find commonalities" or "what patterns stand out" first. then follow up with specific questions based on what the AI finds.
• keep the data panel open. having the columns visible while chatting helps you form better questions and verify the AI's answers against the raw data.
• load 2-3 reports for best results. single-report analysis is useful, but cross-report discovery is where edgeful AI really shines. the follow-up question suggestions also become more interesting with multiple reports loaded.
• context management. loaded reports appear as badges at the top of the chat. you can remove reports by clicking the X. if you need to change customizations (session, date range), start a new chat.

edgeful AI pricing

edgeful AI is included in the essential plan:

• essential plan: $49/month, or $39/month billed annually
• all access | algos: $299/month, or $239/month billed annually

edgeful AI is included in both plans. you don't need the all access plan to use the AI. it's available to every edgeful subscriber.

key takeaways

• edgeful AI launched february 2026 and connects directly to the platform's report data to answer natural language questions
• it reads 16 main reports and can analyze them individually or in combination for cross-report pattern discovery
• the best use case is cross-report analysis: loading multiple reports and asking the AI to find patterns across them
• edgeful AI is a deep research tool, not a daily prep assistant or signal generator. it's built for digging into data, not quick answers
• every response includes follow-up question suggestions so you never get stuck
• edgeful AI is included in both the essential and all access plans
• any claim that edgeful has "no AI-driven analysis" is false. edgeful AI has been live since february 2026

trading involves risk. past performance and historical data do not guarantee future results. the statistics referenced in this post are based on historical data and may not reflect future market conditions. always trade with proper risk management.