Operator is the Hanzo AI specialist subscription: the same twelve research tools, five specialist AI agents, each with up to 150 messages per server-calendar day (token budgets apply), chart analysis without a count cap, and access to the existing Supercomputer for active paid subscribers.
What Operator includes
Chart Analysis
Upload a chart screenshot and receive a structured, educational breakdown of visible structure, zones and context.
Why it matters
A second, structured reading of your own chart helps you notice levels, swings and context you may have skipped, and shows how a written analysis is organised.
How to use it
Open Chart Analysis, upload a clear screenshot with the timeframe visible, then compare the written breakdown with your own notes before drawing conclusions.
Limitations
The reading only describes what is visible in the image. It does not see order flow, news or data outside the screenshot, and it can misread cluttered charts.
Explore Chart AnalysisMarket Intel
A market intelligence view that organises supported instruments, sessions and structured context in one place.
Why it matters
Starting from one organised overview reduces the time spent jumping between sources and makes it easier to decide what deserves closer study.
How to use it
Open Market Intel, choose a supported instrument, read the context panels, then follow the links into the more specialised tools.
Limitations
Context is built from supported data feeds that can be delayed or incomplete. Treat it as a starting point for research, not a conclusion.
Explore Market IntelMacro Map
A map-based view of macroeconomic context by country, with summaries of published indicators.
Why it matters
Macro context explains why some currencies or indices may react differently to the same news, which is useful background for any chart study.
How to use it
Open Macro Map, select a country, read the indicator summary and note which upcoming releases could change the picture.
Limitations
Macro data is published on fixed schedules and is revised. The map summarises available releases and cannot anticipate surprises.
Explore Macro MapVolume Flow
Volume intelligence across supported pairs and timeframes, including relative volume, delta-style pressure readings and divergence notes.
Why it matters
Volume shows participation. Comparing price movement with volume helps you ask whether a move had broad involvement or very little.
How to use it
Open Volume Flow, scan for unusual readings, open a card and read the AI interpretation, then check the same area on the chart.
Limitations
Forex volume is derived from available tick and broker data, not a central exchange tape. Readings describe activity and do not prove intent.
Explore Volume FlowWyckoff
A Wyckoff phase scanner that labels possible accumulation, markup, distribution and markdown phases with event notes.
Why it matters
Wyckoff gives a vocabulary for describing ranges and transitions, which makes your chart notes more consistent and comparable over time.
How to use it
Open Wyckoff, choose an instrument and timeframe, read the phase label and event list, then mark the same events yourself to test the reading.
Limitations
Phase labels are interpretations of past price and volume. Ranges often resolve in ways the labels did not suggest.
Explore WyckoffReversal
Reversal intelligence that gathers exhaustion, momentum and structure observations into a descriptive score with scenario notes.
Why it matters
Seeing several reversal-related observations together helps you study when they agree, when they conflict, and how often they mattered historically.
How to use it
Open Reversal, review the score and its components, then read the scenario breakdown and write down what would invalidate it.
Limitations
The score is descriptive. A high reading is not a prediction, and reversal conditions can persist for a long time without a turn.
Explore ReversalPatterns
A pattern intelligence engine that detects chart and candlestick patterns across supported pairs and timeframes.
Why it matters
Automatic detection gives you a large set of examples to study, so you can learn what a pattern looks like and how inconsistent outcomes can be.
How to use it
Open Patterns, filter by instrument or timeframe, open a detection and compare it with the chart and with other timeframes.
Limitations
Pattern detection is rule-based and can flag shapes a human would reject. Historical context shown is not a forecast.
Explore PatternsBreakout
A breakout detector that combines compression, expansion and structure-break observations into a breakout score.
Why it matters
Studying compression and expansion helps you understand volatility cycles and why many breakouts fail or retest.
How to use it
Open Breakout, review scored instruments, read the checks that contributed, then revisit later to see how the area developed.
Limitations
A breakout score summarises current conditions only. False breaks are common and the score cannot tell them apart in advance.
Explore BreakoutCOT
Commitments of Traders positioning for supported markets, with historical charts, change readings and percentile context.
Why it matters
Positioning data shows how different participant groups were positioned, adding a slower-moving perspective to short-term chart study.
How to use it
Open COT, select a market, compare commercial and non-commercial positioning, and read the week-over-week change.
Limitations
COT data is published weekly by the CFTC with a reporting lag, so it describes positions from several days earlier.
Explore COTCorrelation
A correlation view showing how supported instruments have moved relative to one another over chosen windows.
Why it matters
Correlation explains why several charts can tell the same story, and helps you avoid counting the same evidence twice.
How to use it
Open Correlation, choose a lookback window, scan the matrix and note pairs whose relationship has recently changed.
Limitations
Correlation is measured on past data and changes over time. It does not imply that one market causes another to move.
Explore CorrelationHeatmap
A heatmap of relative strength and movement across supported markets.
Why it matters
A single visual of relative strength helps you see which markets are moving most and where broad currency themes may be present.
How to use it
Open Heatmap, scan for the strongest and weakest areas, then open the related charts to study what changed.
Limitations
Heatmaps compress a lot of information into colour. They show recent movement, not why it happened or whether it will continue.
Explore HeatmapAlert Intel
Alert intelligence for tracking conditions you care about across supported tools.
Why it matters
Alerts let you study conditions when they occur instead of watching screens, which supports a calmer, more deliberate research routine.
How to use it
Open Alert Intel, configure the conditions you want to be notified about, and review triggered alerts alongside the chart.
Limitations
Alerts depend on data freshness and delivery channels. A triggered alert is a prompt to research, not an instruction to act.
Explore Alert IntelSupercomputer
The existing Supercomputer research workspace, available to active paid Operator subscribers.
Why it matters
It brings deeper, longer-running research workflows into one place for subscribers who need more than individual tools.
How to use it
With an active paid Operator subscription, open Supercomputer from the navigator and follow its on-screen workflow.
Limitations
Available only on an active paid Operator subscription. Not included in trials, Diamond or Elite, and no owner bypass is implied. This describes the current feature only.
Explore Supercomputer
For educational market research, not financial advice or a recommendation to trade. Data may be delayed or cached. No outcome is promised.