Analyze 100+ docs in minutes
AI agent for Macro Strategists
Predict rate moves before the market
Delegate central bank analysis to a specialized AI agent. It reads FOMC minutes, ECB speeches, BOJ statements, and Fed Governor remarks to extract hawkish and dovish signals, scoring sentiment trends across time to help you anticipate policy shifts before consensus forms.

Ideal for
Macro Hedge Funds
Fixed Income Traders
Economic Research Teams
Time comparison
Traditional way
8-12 hours per meeting cycle
With V7 Go agents
3-5 minutes
Average time saved
96%
Why V7 Go
Analyzes all central bank communications
To quantify policy stance and predict rate moves.



Import your files
Snowflake
,
Tableau
,
Google Sheets
Import your files from whereever they are currently stored
All types of Finance documents supported
Once imported our system extracts and organises the essentials
Connect AI to central bank intelligence.
Finance
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Answers
What you need to know about our
AI agent for Macro Strategists
How does the agent determine hawkish versus dovish sentiment?
The agent uses a combination of keyword analysis, contextual understanding, and historical pattern matching. It identifies language associated with tightening bias like concerns about inflation persistence, labor market overheating, or upside risks to price stability versus dovish signals like growth concerns, downside risks, or patient approaches to policy normalization.
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Can it analyze communications in languages other than English?
Yes. The agent processes ECB communications in German, French, and Italian, BOJ statements in Japanese, and other central bank materials in their native languages, ensuring accurate sentiment extraction without translation bias.
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How does it handle dissenting votes or minority opinions?
The agent separately tracks dissenting votes and minority statements, flagging when individual committee members express views that diverge from the consensus. This helps identify potential future policy shifts as dissenting views sometimes become majority positions.
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What is the output format for sentiment scores?
The agent delivers structured data in CSV or JSON format with time-series sentiment scores, key phrase extraction, voting patterns, and change indicators. This can be directly imported into your quantitative models or charting tools for visualization.
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How quickly can it process new communications after release?
The agent can analyze a full FOMC meeting minutes document or major central bank speech within 2-3 minutes of upload, allowing you to generate sentiment scores and identify key changes before most market participants finish reading the material.
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Can it compare current language to historical precedents?
Yes. By connecting the agent to a Knowledge Hub containing historical central bank communications, it can identify when current language matches patterns that preceded previous rate hiking or cutting cycles, providing historical context for current signals.
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Next steps
Still reading FOMC minutes line by line?
Send us recent Fed or ECB communications and we'll show you the sentiment trends and policy signals you're missing.













