Quick Scale Trading Panel
- Эксперты
- David Nagy
- Версия: 1.14
- Обновлено: 3 мая 2026
Quick Scale Trading Panel FREE
Quick Scale Trading Panel FREE is a manual trading utility for MetaTrader 5 designed to simplify order execution and position sizing directly from the chart.
The panel allows traders to open and manage trades using predefined lot multipliers, reducing the need for manual calculations during fast market conditions.
Users can define a base lot size and execute trades using multiplier buttons (1x, 2x, 4x, 8x). This helps maintain consistent position sizing and improves execution speed.
The panel includes one-click Buy and Sell controls, as well as options to close all Buy or Sell positions on the current symbol. This functionality can be useful for fast trade management during volatile market conditions.
The tool automatically adjusts trade volume according to the broker’s volume step requirements to ensure valid order execution.
The interface is designed to be compact and suitable for continuous use without interfering with chart visibility.
Main features:
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Manual trading panel for MT5
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Predefined lot multiplier system (1x, 2x, 4x, 8x)
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One-click Buy and Sell execution
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Close all Buy or Sell positions
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Automatic volume adjustment based on broker settings
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Lightweight and optimized interface
Input parameters:
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Base Lot Size: defines the initial lot used for multiplier calculations
Recommended usage:
The panel can be used for scalping, intraday trading, and general manual trade execution. It is suitable for any symbol supported by the broker.
Keywords: MT5 trading panel, forex trading tool, manual trading utility, lot size calculator, execution panel, MetaTrader 5 tool
Additional information:
Other products from the same developer are available in the Market.
Risk disclosure:
Trading financial instruments involves risk and may result in loss of capital. It is recommended to test the product in a demo environment before using it on a live account.
This tool executes trades based on user interaction and settings. Results depend on user decisions and market conditions.
Past performance does not guarantee future results.
