Quantora Market Structure MT5
- Индикаторы
- Версия: 1.20
Quantora Market Structure MT5 is a MetaTrader 5 indicator that identifies confirmed swing points and displays market structure events on the chart.
The indicator classifies detected swing points as Higher High, Higher Low, Lower High or Lower Low. It also marks Break of Structure and Change of Character events according to its detection conditions.
Market Structure Analysis
- Higher High and Higher Low detection
- Lower High and Lower Low detection
- Bullish and bearish Break of Structure events
- Change of Character events
- Confirmed swing-point analysis
- Dynamic support and resistance levels
Support and resistance levels are created after applicable confirmed structure breaks. These levels remain displayed until the indicator detects that they have been invalidated.
Structure Confirmation
Market structure labels are generated using confirmed swing points. A label is displayed after the required confirmation conditions have been completed rather than while a swing point is still forming.
Confirmation can introduce a delay between the initial price movement and the appearance of a structure label.
Dashboard and Settings
The dashboard displays the current market bias, latest structure event, active support and resistance levels, selected swing length and bullish or bearish break totals.
Users can adjust the swing length, colors, labels, dashboard visibility, line styles, alerts, support and resistance levels and breakout markers through the indicator inputs.
Markets and Important Information
The indicator can be applied to broker-supported Forex, metals, indices, commodities and cryptocurrency CFD symbols. Results and available price history depend on the selected symbol, timeframe and broker data.
Quantora Market Structure MT5 is an analysis tool. It does not open, modify or close trading positions. A detected swing point, BOS, CHoCH, support level or resistance level does not guarantee future price direction or a profitable result.
All displayed information should be evaluated using the user's own analysis and risk management.
