π Technical Analysis
Technical analysis studies price patterns and market dynamics to identify trends, momentum, and volatility. Unlike fundamental analysis (which evaluates a company's intrinsic value), technical analysis focuses purely on historical price and volume data.
π What's Inside
π Indicators
Chart overlays that extract trend, momentum, or volatility information from price data. LibreFolio implements four core indicators, each explained from both a financial and signal processing perspective:
- EMA β Exponential Moving Average (trend tracking)
- MACD β Moving Average Convergence Divergence (momentum)
- RSI β Relative Strength Index (overbought/oversold)
- Bollinger Bands β Adaptive volatility envelope
π― Synthetic Benchmarks
Mathematical reference curves overlaid on charts for comparison. Unlike indicators (computed from market data), benchmarks are generated purely from parameters:
- Linear Growth β Simple interest model
- Compound Growth β Compound interest model
- Sine Wave β Cyclic reference for seasonality
β‘ The "Fast" vs "Slow" Intuition
In finance, fast and slow refer to the time constant (\(\tau\)) of the underlying filter.
| Property | Fast (small \(N\)) | Slow (large \(N\)) |
|---|---|---|
| Cut-off frequency \(f_c\) | Higher | Lower |
| Noise rejection | Poor β lets HF through | Good β strong smoothing |
| Phase lag | Small β reacts quickly | Large β significant delay |
| Typical \(N\) | 9, 12, 14 | 26, 50, 200 |
π Related Sections
- π¦ Instruments β The assets these indicators analyze
- π Fundamentals β Returns, day count conventions
- π Portfolio Theory β Risk metrics and allocation