Swing Metrics for NinjaTrader 8
For example, from a high swing down to a low swing, it may be 17 bars, price go down 20 ticks, and the swing may contain 46.2K in volume (total volume for all the bars within the swing).
If you follow symmetrical moves in the market, these metrics can give you insight into what the next swing may bring.
Output various, customizable metrics about the swings.
Metric options include:
- Bar Count
- Price Change (points or ticks)
- Dollar Value Change (futures only)
- Calendar Day Count (non-intraday)
- Intra-day Time
- Volume
- Price at Swing
- Intraday Time at Swing
- High-to-Low and Low-to-High metrics
- High-to-High and Low-to-Low metrics
- Summary of Current Chart Metrics
- Customizable
Purchase The Swing Toolkit for NinjaTrader 8
Easy to Use!
How to use the Swing Metrics Indicator
How to use the ZigZag Swing Engine
Examples
In the example below, this swing upward (highlighted by the green arrow), you can quickly see the details of the change from the low point, up to the high point.
The example below has a different set of metrics enabled. Again, you can quickly see the scale of the swing and the profit potential that the swing contained.
If the instrument supports it (futures), even the currency value of the move can be displayed!
Each of the metric options are also available from High-to-High and Low-to-Low. In the example below, you can see the bar counts from the Low-to-High and the High-to-High points.
The colors and prefix text are all customizable!
Metrics Summary
In this example, you can see the average number of bars it takes to go from a high point to a low point and the number of ticks. That way, if you are in a trade and you’re nearing these averages, perhaps the current move could reverse.
It’s also interesting to note that the average swing (that didn’t break the previous swing, “<100%") is sitting right around our golden ratio of 61.8%!
You can also notice that the swings that extended the move (broke the previous swing, “>100%”) has a greater Low-to-Low average than High-to-High average (180.6% versus 171.3%). This implies that the data loaded on the chart could be more bearish, than bullish (since, the down moves were greater than the up moves).
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