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TradingView, NinjaTrader
The Smart Money Footprint Suite is a sophisticated pair of technical analysis indicators designed to uncover the hidden activity of institutional traders ("smart money") within the range of price bars.
The suite consists of:
Together with other VSA indicators and tools, the ATM Relative Volume indicator helps to determine the interaction between supply and demand as well as assist traders in their trading decisions.
In the VSA methodology, all analysis is based on Relative Volume. This means that the absolute values of the volume on the price bars are not as important as their volume in relation to the previous volume bars.
You can easily see how any volume bar is classified by observing which colour band in the indicator is reached by the top of any given volume bar v- there 6 color bands
This indicator can be configured to show where the volume has appeared (up, down or level bar)
The relative volume bands make it much easier to define the strength of each volume bar. This provides you with more accurate volume analysis.
You can add multiple relative volume histograms for different timeframes on the same chart. This enables multiple timeframe analysis of volume on one chart to offer a more comprehensive understanding of the markets over several timeframes.
The indicator is fully configurable which enables you to choose the optimal setting for your trading style. This personalises and adapts the tool to your trading approach.
The AI Coach provides answers to questions and is able to perform detailed chart analysis services.
The coach has expert knowledge of the following:
Traders can input text, voice and upload chart images.
The coach integrates with the top AI engines including chatGPT and Claude. In addition it draws from a unique database of over 40 years of data, charts, analysis using the ATM approaches core methodologies - Volume Spread analysis, Multiple Time-frame Analysis and Strength and Weakness Analysis
Access will give you immediate access to these key benefits:
| € 167 per month |
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