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πŸ“Š Signals

The Signals panel lets you overlay technical indicators on the price chart. These are computed in real-time from the asset's price data and help identify trends, momentum shifts, and volatility patterns.

Asset Signals Panel

πŸ“Š Available Indicators

πŸ“‰ EMA β€” Exponential Moving Average

Smooths daily price noise to reveal the underlying trend. An EMA crossing above the price line often signals a downward trend. Configurable period: shorter = more reactive, longer = smoother.

πŸ“Š MACD β€” Moving Average Convergence Divergence

Measures momentum by computing the difference between a fast and a slow EMA. Useful for detecting trend reversals and momentum shifts.

  • πŸ“ˆ MACD Line: Difference between fast and slow EMA
  • 〰️ Signal Line: EMA of the MACD line itself (smoothed momentum)
  • πŸ“Š Histogram: Visual difference between MACD and Signal lines

πŸ’ͺ RSI β€” Relative Strength Index

An oscillator (0–100) that measures the speed and magnitude of price changes. Values above 70 may suggest the asset is overbought, below 30 suggests oversold.

πŸ“ Bollinger Bands

A volatility envelope around the price. The bands widen during volatile periods and contract during calm periods.

  • 〰️ Middle Band: Simple Moving Average (SMA)
  • πŸ”Ί Upper Band: SMA + 2 standard deviations
  • πŸ”» Lower Band: SMA βˆ’ 2 standard deviations

πŸ”€ Asset Comparison

Compare the current asset's performance against another asset. The comparison asset's price is overlaid on the chart, normalized to the same scale. Useful for relative performance analysis (e.g., compare a stock against its benchmark index).

πŸ› οΈ How to Use

  1. Click the Signals toggle button (πŸ“ˆ) in the toolbar
  2. The signals panel opens below the toolbar
  3. Add indicators from the categorized dropdowns
  4. Each indicator's parameters can be adjusted inline
  5. Signals are rendered as overlays directly on the chart

πŸ“š Deep Dive: Financial Theory

For a comprehensive mathematical treatment of each indicator β€” including formulas, signal processing equivalents, and practical interpretation:

Technical Indicators β€” Financial Theory

This reference page covers:

  • πŸ”’ The mathematical formulas behind each indicator
  • πŸŽ›οΈ Signal processing equivalents (EMA = IIR filter, SMA = FIR filter, etc.)
  • ⚑ The "fast vs slow" intuition in terms of filter cut-off frequencies
  • πŸ“ˆ Practical examples of crossover detection and trend identification