About AgentiQ Alpha
We built a multi-agent AI research system that analyzes any stock or cryptocurrency using adversarial debate — delivering institutional-grade research reports in real-time.
What We Built
AgentiQ Alpha is a multi-agent AI research and analysis system built with LangChain. It is not a trading platform, a brokerage, or an investment advisor — it is an AI-powered research tool that produces comprehensive, structured research reports on any stock or cryptocurrency available on Yahoo Finance.
The system deploys 12+ autonomous AI agents organized into 5 groups: Analysts, Researchers, Trading, Risk, and Portfolio. Each group has a specific role in the research pipeline. The agents gather real-time data, engage in adversarial debate, assess risk from multiple perspectives, and synthesize everything into a final report.
What makes AgentiQ Alpha different from ChatGPT or Gemini is the adversarial debate architecture. Our Bull Researcher and Bear Researcher agents spend 5 rounds arguing opposing sides of the investment thesis — stress-testing every assumption before a conclusion is reached. Similarly, our Risk agents (Aggressive, Conservative, Neutral) debate 5 rounds from different risk tolerances.
The result is a structured research report that includes key technical and fundamental metrics, sentiment analysis, the full debate transcript from both research and risk debates, a trader recommendation, and a final portfolio manager synthesis with a clear buy/hold/sell recommendation.
Agent Architecture
Analysts
Four specialized analyst agents gather real-time data simultaneously from Yahoo Finance, news APIs, social media sentiment feeds, and SEC financial filings.
Researchers
Bull and Bear Researchers engage in 5 rounds of adversarial debate, each building and defending opposing market theses. The Research Manager synthesizes the debate into a balanced research output.
Trading
The Trader Agent translates research conclusions into specific actionable recommendations including entry points, price targets, and stop-loss levels.
Risk
Three risk agents with different risk tolerances debate 5 rounds in a three-way adversarial format, producing a comprehensive multi-perspective risk profile and position sizing guidance.
Portfolio
The Portfolio Manager synthesizes all outputs — analyst data, research debate transcripts, trading signals, and risk assessment — into the final structured research report with a clear buy/hold/sell recommendation.
Data Sources
Yahoo Finance
Real-time price, volume, technical indicators, fundamental financials
News APIs
Breaking news, earnings calls, analyst upgrades/downgrades
Social Media Sentiment
Reddit, Twitter/X sentiment analysis and trend detection
SEC Filings
10-K, 10-Q, 8-K filings for fundamental analysis
Our Principles
Adversarial by Design
We believe the best research comes from conflict. Every report is the product of genuine adversarial debate between agents with opposing mandates — bull vs bear, aggressive vs conservative.
Real-Time, Not Stale
All data is pulled live at report generation time from Yahoo Finance, news APIs, and sentiment feeds. We never rely on months-old training data to make investment research decisions.
Transparent Process
Every report includes the full debate transcripts from all agent rounds. You can see exactly how each agent argued and why the final recommendation was reached.
Accessible Intelligence
Institutional-grade multi-agent AI analysis should not be limited to hedge funds. We make sophisticated AI research reports accessible to retail investors, traders, and professionals alike.