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
See AI agent for Macro Strategists in action
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See AI agent for Macro Strategists in action
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See AI agent for Macro Strategists in action
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Fed Policy Sentiment Analysis
See AI agent for Macro Strategists in action
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Time comparison
Time comparison
Traditional way
8-12 hours per meeting cycle
With V7 Go agents
3-5 minutes
Average time saved
96%
Why V7 Go
Why V7 Go
Automated Sentiment Scoring
Analyzes meeting minutes, speeches, and press conferences to assign quantitative hawkish/dovish scores based on language patterns, voting behavior, and policy guidance changes.
Automated Sentiment Scoring
Analyzes meeting minutes, speeches, and press conferences to assign quantitative hawkish/dovish scores based on language patterns, voting behavior, and policy guidance changes.
Automated Sentiment Scoring
Analyzes meeting minutes, speeches, and press conferences to assign quantitative hawkish/dovish scores based on language patterns, voting behavior, and policy guidance changes.
Automated Sentiment Scoring
Analyzes meeting minutes, speeches, and press conferences to assign quantitative hawkish/dovish scores based on language patterns, voting behavior, and policy guidance changes.
Multi-Bank Coverage
Tracks communications from the Federal Reserve, ECB, Bank of England, Bank of Japan, and other major central banks to identify diverging policy trajectories across regions.
Multi-Bank Coverage
Tracks communications from the Federal Reserve, ECB, Bank of England, Bank of Japan, and other major central banks to identify diverging policy trajectories across regions.
Multi-Bank Coverage
Tracks communications from the Federal Reserve, ECB, Bank of England, Bank of Japan, and other major central banks to identify diverging policy trajectories across regions.
Multi-Bank Coverage
Tracks communications from the Federal Reserve, ECB, Bank of England, Bank of Japan, and other major central banks to identify diverging policy trajectories across regions.
Trend Detection Over Time
Compares sentiment scores across consecutive meetings to identify inflection points where policy stance shifts from accommodative to restrictive or vice versa.
Trend Detection Over Time
Compares sentiment scores across consecutive meetings to identify inflection points where policy stance shifts from accommodative to restrictive or vice versa.
Trend Detection Over Time
Compares sentiment scores across consecutive meetings to identify inflection points where policy stance shifts from accommodative to restrictive or vice versa.
Trend Detection Over Time
Compares sentiment scores across consecutive meetings to identify inflection points where policy stance shifts from accommodative to restrictive or vice versa.
Governor Speech Analysis
Processes individual speeches from Fed Governors, ECB Executive Board members, and other policymakers to detect early signals before they appear in official committee statements.
Governor Speech Analysis
Processes individual speeches from Fed Governors, ECB Executive Board members, and other policymakers to detect early signals before they appear in official committee statements.
Governor Speech Analysis
Processes individual speeches from Fed Governors, ECB Executive Board members, and other policymakers to detect early signals before they appear in official committee statements.
Governor Speech Analysis
Processes individual speeches from Fed Governors, ECB Executive Board members, and other policymakers to detect early signals before they appear in official committee statements.
Language Pattern Recognition
Identifies specific phrases and terminology changes that historically precede policy shifts, such as transitions from data-dependent to data-driven or changes in inflation characterization.
Language Pattern Recognition
Identifies specific phrases and terminology changes that historically precede policy shifts, such as transitions from data-dependent to data-driven or changes in inflation characterization.
Language Pattern Recognition
Identifies specific phrases and terminology changes that historically precede policy shifts, such as transitions from data-dependent to data-driven or changes in inflation characterization.
Language Pattern Recognition
Identifies specific phrases and terminology changes that historically precede policy shifts, such as transitions from data-dependent to data-driven or changes in inflation characterization.
Cited Evidence Trail
Links every sentiment score back to the exact paragraph and sentence in the source document, allowing you to verify the AI's interpretation and build conviction in your positioning.
Cited Evidence Trail
Links every sentiment score back to the exact paragraph and sentence in the source document, allowing you to verify the AI's interpretation and build conviction in your positioning.
Cited Evidence Trail
Links every sentiment score back to the exact paragraph and sentence in the source document, allowing you to verify the AI's interpretation and build conviction in your positioning.
Cited Evidence Trail
Links every sentiment score back to the exact paragraph and sentence in the source document, allowing you to verify the AI's interpretation and build conviction in your positioning.
Analyzes all central bank communications
To quantify policy stance and predict rate moves.
Get started
Get started
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
Customer voices
Customer voices
Connect AI to central bank intelligence.
Connect AI to central bank intelligence.
Position ahead of policy inflection points with systematic analysis.
Position ahead of policy inflection points with systematic analysis.
Finance
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Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Customer Voices
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Industrial equipment sales
We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Finance
“Whenever I think about hiring, I first try to do it in V7 Go.” Discover how HITICCO uses V7 Go agents to accelerate and enrich their prospect research.
Read the full story
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
Read the full story
Features
Features
Results you can actually trust.
Reliable AI document processing toolkit.
Results you can trust.
Trustworthy AI document processing toolkit.
Supporting complex documents.
Up to 200 pages.
Central bank communications come in varied formats, from dense FOMC minutes to informal Governor speeches and translated ECB press conferences. This agent handles all formats, extracting sentiment from structured meeting minutes, conversational speech transcripts, and multilingual policy statements.
Input types
50+ languages
Speech Transcripts
200 pages
Multi-modal
Document types
PDFs
Web Pages
Tables
Transcripts
Press Releases
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Central bank communications come in varied formats, from dense FOMC minutes to informal Governor speeches and translated ECB press conferences. This agent handles all formats, extracting sentiment from structured meeting minutes, conversational speech transcripts, and multilingual policy statements.
Input types
50+ languages
Speech Transcripts
200 pages
Multi-modal
Document types
PDFs
Web Pages
Tables
Transcripts
Press Releases
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Central bank communications come in varied formats, from dense FOMC minutes to informal Governor speeches and translated ECB press conferences. This agent handles all formats, extracting sentiment from structured meeting minutes, conversational speech transcripts, and multilingual policy statements.
Input types
50+ languages
Speech Transcripts
200 pages
Multi-modal
Document types
PDFs
Web Pages
Tables
Transcripts
Press Releases
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Reach 99% accuracy rate
through GenAI reasoning.
Macro trading demands precision in sentiment interpretation. The agent uses contextual understanding to distinguish between hawkish language about current conditions versus forward guidance, ensuring sentiment scores reflect actual policy implications rather than surface-level keyword matches.
Model providers
Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate
through GenAI reasoning.
Macro trading demands precision in sentiment interpretation. The agent uses contextual understanding to distinguish between hawkish language about current conditions versus forward guidance, ensuring sentiment scores reflect actual policy implications rather than surface-level keyword matches.
Model providers
Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Reach 99% accuracy rate
through GenAI reasoning.
Macro trading demands precision in sentiment interpretation. The agent uses contextual understanding to distinguish between hawkish language about current conditions versus forward guidance, ensuring sentiment scores reflect actual policy implications rather than surface-level keyword matches.
Model providers
Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Trustworthy results,
grounded in reality.
Build conviction in your positioning with complete transparency. Every sentiment score is linked to the specific paragraph and sentence that drove the assessment, allowing you to verify the AI's interpretation and understand the evidence behind each signal.
Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance
![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 198 15" xmlns="http://www.w3.org/2000/svg"><defs ><clipPath id="J0QEw1Ctk-2037569988-stroke"><use href="%23J0QEw1Ctk-2037569988"/></clipPath><path d="M 0 1 C 0 0.448 0.448 0 1 0 L 197 0 C 197.552 0 198 0.448 198 1 L 198 9 C 198 9.552 197.552 10 197 10 L 76 10 L 76 14 C 76 14.552 75.552 15 75 15 L 1 15 C 0.448 15 0 14.552 0 14 Z" id="J0QEw1Ctk-2037569988"/></defs><use fill="rgba(124, 58, 237, 0.1)" height="15px" href="%23J0QEw1Ctk-2037569988" id="J0QEw1Ctk" width="198px"/><use clip-path="url(%23J0QEw1Ctk-2037569988-stroke)" fill="transparent" href="%23J0QEw1Ctk-2037569988" stroke-dasharray="0" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="4" stroke-width="1" stroke="rgb(124, 58, 237)"/></svg>)
02
01
01
02
Trustworthy results,
grounded in reality.
Build conviction in your positioning with complete transparency. Every sentiment score is linked to the specific paragraph and sentence that drove the assessment, allowing you to verify the AI's interpretation and understand the evidence behind each signal.
Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance
02
01
01
02
Trustworthy results,
grounded in reality.
Build conviction in your positioning with complete transparency. Every sentiment score is linked to the specific paragraph and sentence that drove the assessment, allowing you to verify the AI's interpretation and understand the evidence behind each signal.
Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance
02
01
01
02
Enterprise grade security
for high-stake industries.
Your proprietary research and trading signals are protected. V7 Go processes all central bank communications within your secure environment, ensuring your sentiment analysis methodology and positioning insights remain confidential.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Your proprietary research and trading signals are protected. V7 Go processes all central bank communications within your secure environment, ensuring your sentiment analysis methodology and positioning insights remain confidential.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Your proprietary research and trading signals are protected. V7 Go processes all central bank communications within your secure environment, ensuring your sentiment analysis methodology and positioning insights remain confidential.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
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Answers
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.
+
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.
+
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.
+
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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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.
+
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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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.
+
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.
+
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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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.
+
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.
+
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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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.
+
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.
+
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.
+
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.
+
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.
+
Next steps
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.
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board: