This indicator monitors the market liquidity and generates colors based on order patterns, quantities, and renewal activities in the book. This allows you to visualize the order flow and identify areas of high and low liquidity and activity.
The indicator uses machine learning techniques to analyze the order behavior in the book, enabling it to detect patterns and trends in orders, allowing you to make informed decisions about your trading operations.
The color palette of the indicator is generated from real-time market order flow. This enables you to quickly identify areas of high and low liquidity and activity, making data-driven decisions.
Identify Areas of High and Low Liquidity:
With this indicator, you can rapidly identify areas with high liquidity, where orders are easier to execute, and areas with low liquidity, where orders may be more challenging to realize.
Identify Areas of High and Low Activity:
The indicator also enables you to quickly identify areas with high activity, which may indicate some type of dispute between market players, making it a prime candidate for testing.
Make Data-Driven Decisions:
The indicator provides precise information about the order flow in the market, enabling you to make informed decisions about your trading operations.
Stay Ahead of the Game:
With this indicator, you can monitor the market liquidity in real-time and react quickly to changes in patterns of liquidity.
Color Correlation:
Here's the correlation between colors and market liquidity and activity:
See the real market structure, predict your trades with information on what may happen, not based on what has already happened.
IMPORTANT: for the correct functioning of the indicator it is MANDATORY to have access to the depth of the market.
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Discussão sobre o indicador
If for any reason you do not like the purchased program, you can request a refund within 30 days from the date of purchase. You can also make an exchange for any other product at an equal cost or by paying the difference.
Simply send a request for refund or exchange with your order number by email: [email protected].
Refund requests received more than 30 days after purchase will be rejected.