An experimental probability cone indicator.
Информация о релизе:
Increased max_lines_count from 200 to 500.
Информация о релизе:
Added a lot more stuff.
- Add stationary cones. Lock the cones to the last bar location.
- Updated inputs menu with categories for clarity.
- Add options to position cone based on time instead of bars in the Date Settings.
Информация о релизе:
Add Asymmetric Laplace Distribution.
Add Cauchy Distribution.
Add Logistic Distribution (currently broken)
Add Cumulative Distribution Function (CDF) Settings for Asymmetric Laplace and Cauchy Distributions.
Add input for mean selection. The "Auto" selection will use the recommended mean for your current selected distribution.
Add Cauchy Distribution.
Add Logistic Distribution (currently broken)
Add Cumulative Distribution Function (CDF) Settings for Asymmetric Laplace and Cauchy Distributions.
Add input for mean selection. The "Auto" selection will use the recommended mean for your current selected distribution.
Информация о релизе:
Fixed 2 typos
Информация о релизе:
- Add mean line and settings to adjust the calculations and style of it.
- Use a distribution's recommended mean calculation, or manually set it to use the average or median.
- If you don't want the cones to update their location, you can lock them in place with a setting.
- Two ways of anchoring the origin of the cones: 1. manually set it a specific number of bars back 2. start from the beginning of a selected higher time frame.
- If you need to offset the origin on the timeframe anchor, there's an offset input. It's 1 by default so that the cones are always considered "out of sample" from the trading period analyzed.
- Change any line's color, style, width.
- Change the highlight/fill colors between any two cones.
- Default colors are based on the Solarized color palette.
- Colors were selected to maximize contrast for color blind traders. If you are color blind let me know how well it works for you and your type of colorblindness.
Информация о релизе:
Update script's preview chart.
Информация о релизе:
Remove minimized indicators from the indicator's chart preview.
Информация о релизе:
So how do I use the AD CDF and E(X) CDF inputs?
First some definitions:
AD stands for Absolute Deviation. It takes the absolute deviation of the respective CDF input probability. E(X) is the symbol for Expected Value, however, right now it works more like a "True Value". Expected Value is probability weighted, and that has not been added yet. So I'm simply taking the respective value that corresponds to the set CDF probability and forecasting that.
So how to use it?
Either leave the settings alone if you want to stick with the defaults. Ideally distributions are more accurate with the Expected Value type over the Absolute Deviation type. However, the Absolute Deviation can behave more consistently; as in less bugs as it is a more well flushed out feature. This is especially true for the Cauchy distributions. They still need some more work, but the values displayed are proper forecasts from either forecast type. You just might get a current bug where a deviation doesn't show.
This is where you come in as a Beta participant!
Not all of the features are completely working. Not everything has appropriate tooltips or even works. The indicator is in a Beta phase and you're using it as I'm developing it. However, please send me your feedback and questions about the indicator so I can begin to create documentation for some of these more advanced statistical features! I always appreciate everything everybody does to contribute ideas, tooltips, or simple clarification on how things in the indicator are calculated.
For everyone who contributes to my Todo list essentially, I'll give credit for keeping me on track with features and polishing of the indicator. (and maybe a few extra things in the future 😉)
- Started to add Expected Value CDF cones.
- Added Absolute Deviation CDF cones. This calculation takes all the data points past a set CDF probability, finds the average deviation from the mean, and then plots the line.
- Improved Cauchy distribution.
- Add Generalized Cauchy distribution.
- Add select date cone anchor.
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So how do I use the AD CDF and E(X) CDF inputs?
First some definitions:
AD stands for Absolute Deviation. It takes the absolute deviation of the respective CDF input probability. E(X) is the symbol for Expected Value, however, right now it works more like a "True Value". Expected Value is probability weighted, and that has not been added yet. So I'm simply taking the respective value that corresponds to the set CDF probability and forecasting that.
So how to use it?
Either leave the settings alone if you want to stick with the defaults. Ideally distributions are more accurate with the Expected Value type over the Absolute Deviation type. However, the Absolute Deviation can behave more consistently; as in less bugs as it is a more well flushed out feature. This is especially true for the Cauchy distributions. They still need some more work, but the values displayed are proper forecasts from either forecast type. You just might get a current bug where a deviation doesn't show.
This is where you come in as a Beta participant!
Not all of the features are completely working. Not everything has appropriate tooltips or even works. The indicator is in a Beta phase and you're using it as I'm developing it. However, please send me your feedback and questions about the indicator so I can begin to create documentation for some of these more advanced statistical features! I always appreciate everything everybody does to contribute ideas, tooltips, or simple clarification on how things in the indicator are calculated.
For everyone who contributes to my Todo list essentially, I'll give credit for keeping me on track with features and polishing of the indicator. (and maybe a few extra things in the future 😉)
Joe Baus, bausbenchmarks.com