AI Based Risk Tolerance Assessment for Investing in the Stock Market
Автор: Analytics in Practice
Загружено: 2025-08-09
Просмотров: 66
Описание:
The AI-Based Risk Tolerance Assessment system is designed to help users determine their risk tolerance and recommend stocks based on their investment profile. It starts by prompting users for their investment style (Conservative, Moderate, Aggressive) and desired annual return (e.g., 6%, 8%, 10%, 12%). Using historical data from 30 stock tickers, the system calculates each stock's annual return and risk (volatility). Stocks are then categorized into three risk profiles: conservative (low risk, low return), moderate (medium risk, medium return), and aggressive (high risk, high return). The system recommends stocks based on the user’s profile and return expectations, filtering for those that meet the desired return threshold. Additionally, the system calculates the probability of exceeding the target return using a normal distribution model, and displays a risk-return scatter plot for visual analysis. Finally, an AI-powered analysis provides personalized insights and recommendations, including considerations of diversification, sector concentration, and macroeconomic factors like inflation and interest rates. By integrating AI with quantitative financial models, the system offers dynamic and actionable investment guidance while ensuring data privacy and security.
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