AlphaMind AI
Multi-Agent Framework
1
Fundamental Agent
The Fundamental Agent delves into company financial statements, analyzing key metrics such as revenue growth, profit margins, debt levels, and cash flow. It evaluates intrinsic value using models like discounted cash flow and compares companies within the same industry, help to identifying long-term investment opportunities.
2
Quantitative Agent
Employing statistical models and machine learning techniques, the Agent develops and backtests algorithmic trading strategies. It analyzes vast datasets to uncover patterns and correlations, optimizing strategies for risk-adjusted returns, adapting its models to evolving market conditions to maintain performance efficacy
3
Macro Agent
Monitors global economic indicators, including GDP growth, inflation rates, employment figures, and central bank policies, etc. It assesses how macroeconomic trends influence various asset classes and sectors, providing a broader context for investment decisions. Helps us anticipate the market shifts.
Combines multi-agent intelligence to generate signals, portfolios, market analysis, and MindX GPT
Ensures that AI-generated analysis align with expertise insights from our research team
4
News Agent
Aggregating financial news, earnings reports, and geopolitical events, utilizes natural language processing to assess the relevance and impact of information. Filters out noise, highlights significant changes, and correlates news events with market movements. ensures that we are informed of events that could influence the strategies.
5
Price Agent
Monitors real-time market data, employing advanced algorithms to detect price patterns, volatility shifts, technical indicators and current price movements, it identifies support and resistance levels, trend formations, and momentum changes. provides actionable insights into market timing and potential entry or exit points.
6
Sentiment Agent
Utilizing natural language processing, analyzing social media, news outlets, and analyst reports. It identifies shifts in investor behavior and public perception, detecting early signs of market optimism or pessimism. By quantifying sentiment, this agent adds a psychological dimension to market analysis.