CNN-TA | Algorithmic Financial Trading with Deep Convolutional | Machine Learning library
kandi X-RAY | CNN-TA Summary
kandi X-RAY | CNN-TA Summary
CNN-TA is a Java library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. CNN-TA has no bugs, it has no vulnerabilities and it has low support. However CNN-TA build file is not available. You can download it from GitHub.
Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.
Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.
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Quality
Security
License
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Support
CNN-TA has a low active ecosystem.
It has 29 star(s) with 16 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 0 have been closed. On average issues are closed in 107 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of CNN-TA is current.
Quality
CNN-TA has 0 bugs and 0 code smells.
Security
CNN-TA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
CNN-TA code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
CNN-TA does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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CNN-TA releases are not available. You will need to build from source code and install.
CNN-TA has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed CNN-TA and discovered the below as its top functions. This is intended to give you an instant insight into CNN-TA implemented functionality, and help decide if they suit your requirements.
- Creates and prints the training file
- Performs phase processing
- Run phase process
- Run Spark SQL basic phase
- Auxiliary method for testing
- Converts the input board into a CSV file
- Helper method to shift labels up in an array
- Main entry point
- Calculate sharpa ratio
- Calculates the covariance
- Main method for testing
- Returns the value of the indicator at the given index
- Calculates the price of the price of a price and returns the price of the price of the price of the price of the price of price adjustment
- Calculates the squared average
- Calculates the cumulative price of a price
- Main method
- Calculates the variance
- Command line parser
- Calculates the index value at the given index
- Entry point for the series
- Main method for testing
- Calculates the price of the curve at the given index
- Entry point for testing
- Main function for testing
- Relabel data
- Demonstrates how to chart the tick rates
Get all kandi verified functions for this library.
CNN-TA Key Features
No Key Features are available at this moment for CNN-TA.
CNN-TA Examples and Code Snippets
No Code Snippets are available at this moment for CNN-TA.
Community Discussions
Trending Discussions on CNN-TA
QUESTION
Target Labeling Using Sliding Window On Stock Data In Python
Asked 2021-Aug-19 at 17:23
ANSWER
Answered 2021-Aug-19 at 07:01You need to initialize mins, maxs, min_idx and max_idx
with appropriate values before the main loop.
In your case if max_idx ==
occurs earlier than any max_idx
assignment
Edit after questing change:
Seems in Python you can make similar behavior replacing the whole for-loop with:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install CNN-TA
You can download it from GitHub.
You can use CNN-TA like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the CNN-TA component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use CNN-TA like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the CNN-TA component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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