IDDD_NYSE | My take on the SpringTrader project
kandi X-RAY | IDDD_NYSE Summary
kandi X-RAY | IDDD_NYSE Summary
IDDD_NYSE is a Java library. IDDD_NYSE has no vulnerabilities, it has build file available and it has low support. However IDDD_NYSE has 4 bugs and it has a Non-SPDX License. You can download it from GitHub.
the iddd_nyse repository contains a set of projects that reflect my take on the springtrader project (formerly nanotrader). it's my attempt to improve the model using a ddd approach. this is a work in progress. the various bounded contexts (iddd_nanotrader, iddd_algotrader, iddd_nanoreports) and the supporting subdomains and reusable tools found in iddd_tradercommon are not complete. in particular when a market order and a slice order are executed, the requests just fall off a cliff. currently the models go no further than to track the number of shares conceptually purchased, and that's it. there are other holes in the models, too, and it will require more time with my volunteer domain expert before this effort provides a more realistic simulation of stock purchases. in all this example provides a fairly decent look at aggregate design and the use of domain events in a simple event-driven architecture. actually
the iddd_nyse repository contains a set of projects that reflect my take on the springtrader project (formerly nanotrader). it's my attempt to improve the model using a ddd approach. this is a work in progress. the various bounded contexts (iddd_nanotrader, iddd_algotrader, iddd_nanoreports) and the supporting subdomains and reusable tools found in iddd_tradercommon are not complete. in particular when a market order and a slice order are executed, the requests just fall off a cliff. currently the models go no further than to track the number of shares conceptually purchased, and that's it. there are other holes in the models, too, and it will require more time with my volunteer domain expert before this effort provides a more realistic simulation of stock purchases. in all this example provides a fairly decent look at aggregate design and the use of domain events in a simple event-driven architecture. actually
Support
Quality
Security
License
Reuse
Support
IDDD_NYSE has a low active ecosystem.
It has 63 star(s) with 27 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
IDDD_NYSE has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of IDDD_NYSE is current.
Quality
IDDD_NYSE has 4 bugs (0 blocker, 0 critical, 4 major, 0 minor) and 360 code smells.
Security
IDDD_NYSE has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
IDDD_NYSE code analysis shows 0 unresolved vulnerabilities.
There are 12 security hotspots that need review.
License
IDDD_NYSE has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
IDDD_NYSE releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
IDDD_NYSE saves you 3247 person hours of effort in developing the same functionality from scratch.
It has 6977 lines of code, 939 functions and 114 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed IDDD_NYSE and discovered the below as its top functions. This is intended to give you an instant insight into IDDD_NYSE implemented functionality, and help decide if they suit your requirements.
- Receives a feed quote
- Aggregate CSV of feed quotes
- This method is called when the CSV file has been reached
- Aggregates quote bars from a collection of CSV files
- Receive data from the socket
- Dispatch a message
- Closes all connections
- Unregisters this exchange listener
- Gets the single quote bar dispatcher factory
- Checks if this order execution matches the given object
- Compares this quote with the given object
- Compares this Price with the specified price and volume
- Determine if this quote is equal to the given object
- Returns the JSON array represented by the provided keys
- Open the server socket
- Returns true if this quote matches the same symbol
- Compares this event with the specified event id
- Calculate the price volume based on a collection of price volumes
- Appends a domain event
- Attach datagram socket
- Runs the loop
- Publish a new feed quoting
- Initializes the simulation activities
- Logs in a new user
- Compares two Notification objects
Get all kandi verified functions for this library.
IDDD_NYSE Key Features
No Key Features are available at this moment for IDDD_NYSE.
IDDD_NYSE Examples and Code Snippets
No Code Snippets are available at this moment for IDDD_NYSE.
Community Discussions
No Community Discussions are available at this moment for IDDD_NYSE.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install IDDD_NYSE
You can download it from GitHub.
You can use IDDD_NYSE 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 IDDD_NYSE 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 IDDD_NYSE 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 IDDD_NYSE 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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