Understand the concepts behind Stock Vanta's analysis. These guides cover technical indicators, sentiment analysis, risk assessment, and AI forecasting—explained clearly for all experience levels.
Technical analysis is the study of price charts and market data to identify trading opportunities. Learn how indicators, patterns, and trends guide technical traders.
RSI (Relative Strength Index) is a momentum indicator that measures the speed and magnitude of price changes. Learn how RSI works, how to read it, and its limitations.
MACD is a trend-following momentum indicator that shows the relationship between two moving averages of a stock price. Learn how MACD works and how to interpret its signals.
RSI and MACD are both popular technical indicators, but they measure different things. Learn the key differences, when to use each, and how they work together.
ATR (Average True Range) measures market volatility by calculating the average range between high and low prices. Learn how ATR works and why volatility matters.
Bollinger Bands are volatility indicators that create a dynamic envelope around price. Learn how they work, what they indicate, and their limitations.
SMA and EMA are two types of moving averages used in technical analysis. Learn the differences, pros and cons, and when to use each.
Stock market sentiment measures the overall attitude of investors toward a stock or the market. Learn how sentiment analysis works and why it matters.
News sentiment analysis uses natural language processing to evaluate financial news. Learn how automated sentiment scoring works and what it means for stock analysis.
Stock volatility measures how much a stock price fluctuates over time. Learn what causes volatility, how to measure it, and why it matters for risk management.
Stock risk analysis involves evaluating multiple factors including volatility, trend stability, and market conditions. Learn the key dimensions of stock risk assessment.
Stock analysis combines technical indicators, sentiment, risk assessment, and market context. Learn a structured approach to evaluating stocks using multiple evidence layers.
AI stock forecasting uses machine learning models to project potential future price paths. Learn how these models work, what they can and cannot do.
LSTM (Long Short-Term Memory) networks are a type of recurrent neural network used for time series forecasting. Learn how LSTM models work for stock price prediction.
Technical analysis and fundamental analysis are two major approaches to evaluating stocks. Learn the differences, strengths, and limitations of each.