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Chart analysis, also known as technical analysis, technical indicators, encompasses various methods and techniques to predict future price movements based on historical price data.

• Trend Analysis: focusing on prevalent trends helps recognize major support and resistance zones, guiding position sizing and risk management. Methodologies such as moving averages, linear regression channels, and Andrew's pitchfork aid in defining trend directions and estimating logical take-profit targets or stop-loss placements.
• Support and Resistance Levels
• Candlestick Patterns
• Moving Averages
• Relative Strength Index (RSI)
• Fibonacci Retracement
• Volume Analysis
• Chart Patterns
• Moving Average Convergence Divergence (MACD)
• Bollinger Bands
• Stochastic Oscillator
• Commodity Channel Index (CCI)
• On-Balance Volume (OBV)
• Flag pattern
• Accumulation/distribution (A/D) line
• Average directional index
• Aroon oscillator
• Momentum Indicators: Measuring speed and intensity of price movements assists in pinpointing exhaustion points and prospective reversals. Examples include Rate of Change (ROC), Stochastic Oscillator, and Williams %R, providing useful input for timing entries and exits near local maxima/minima.
• Volatility Metrics: Quantifying price variation informs expectations around probable magnitude and duration of subsequent price swings. Options-based implied volatility indexes (like VIX), Bollinger bands, and Keltner channels enable traders to assess uncertainty levels and manage exposure effectively.
• Pattern Recognition: Studying recurrent graphical configurations reveals crowd psychology manifestations and illuminates conceivable trajectories. Classifications comprise continuation structures (flags, pennants, wedges), reversal patterns (head & shoulders, double tops/bottoms), and harmonic arrangements (Gartley, Bat, Crab).
• Intermarket Analysis: Incorporating correlations among distinct assets or sectors deepens comprehension of broader macroeconomic influences shaping supply/demand balances. Cross-referencing equities, commodities, currencies, bonds, and derivatives elucidates linkages and causality effects, improving situational awareness and informing multi-asset allocation frameworks.