Market DNA: Structure, Volume, Range, and Sessions

Market DNA: Structure, Volume, Range, and Sessions**

The Market DNA indicator combines market structure, volume analysis, trading ranges, and global trading sessions into a single, comprehensive tool for traders. It helps identify key price levels, volume patterns, consolidation phases, and active market periods, enabling informed trading decisions.

Market Structure Detects swing highs and lows using `ta.pivothigh` and `ta.pivotlow`, plotting them as red/green triangles to highlight support/resistance and trend reversals.
- Fractal Volume Zones (FVG): Highlights areas of significant buying/selling pressure by comparing current volume to an average over a lookback period; high-volume zones are marked with a semi-transparent blue background.
- Trading Range: Defines a price channel using the Average True Range (ATR) and a multiplier, creating upper/lower bands to identify consolidation, breakouts, and potential trade levels.
- Market Sessions: Highlights major global trading sessions (Asia, Europe, US) with colored backgrounds (purple, teal, yellow) to indicate liquidity and volatility shifts.

How It Works
- Swing points help analyze trends and reversals.
- FVG confirms price movements with high volume for stronger signals.
- Trading range bands assist in identifying breakout opportunities and setting stops/take-profits.
- Session highlights allow traders to adapt strategies based on regional activity.

Customization
- Adjust `swing_length` for sensitivity in detecting turning points.
- Modify `volume_lookback` to control volume averaging.
- Tune `range_multiplier` for wider/narrower trading bands.
- Enable/disable session highlighting via `session_highlight`.

Use Cases
- Identify trends and key levels using swing points and FVG.
- Spot breakout opportunities with trading range bands.
- Adapt strategies to regional trading sessions for optimal timing.

This all-in-one indicator provides a clear, customizable view of the market, empowering traders to make data-driven decisions across asset classes and timeframes.