Financial-Market-Simulator | simple program designed to simulate transactions
kandi X-RAY | Financial-Market-Simulator Summary
kandi X-RAY | Financial-Market-Simulator Summary
Financial-Market-Simulator is a Python library. Financial-Market-Simulator has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
This is a simple program designed to simulate transactions between agents in a financial market. Each agent within the market is designated as a trader or a financial intermediary and each is assigned a portfolio containing various assets (claims) in five asset classes:. Agents are initialized along with their portfolios (and accounts in the presence of a financial intermediary) and introduced into a financial market. For N time steps, each agent may enter into a random transaction with another agent in the market, opting into a loan contract (agent-agent loan), sale contract (agent-agent trade), or savings contract (account deposit or withdrawal). At each time step, the total wealth of each agent (along with totals of liquid and non-liquid assets) is archived for further use in the analysis and visualization of the data generated during the simulation. This project employs pandas and matplotlib to work with and visualize simulated data. NetworkX may also be used in the future for network visualization.
This is a simple program designed to simulate transactions between agents in a financial market. Each agent within the market is designated as a trader or a financial intermediary and each is assigned a portfolio containing various assets (claims) in five asset classes:. Agents are initialized along with their portfolios (and accounts in the presence of a financial intermediary) and introduced into a financial market. For N time steps, each agent may enter into a random transaction with another agent in the market, opting into a loan contract (agent-agent loan), sale contract (agent-agent trade), or savings contract (account deposit or withdrawal). At each time step, the total wealth of each agent (along with totals of liquid and non-liquid assets) is archived for further use in the analysis and visualization of the data generated during the simulation. This project employs pandas and matplotlib to work with and visualize simulated data. NetworkX may also be used in the future for network visualization.
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Quality
Security
License
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Support
Financial-Market-Simulator has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Financial-Market-Simulator has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Financial-Market-Simulator is current.
Quality
Financial-Market-Simulator has no bugs reported.
Security
Financial-Market-Simulator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Financial-Market-Simulator 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.
Reuse
Financial-Market-Simulator 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.
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Financial-Market-Simulator Key Features
No Key Features are available at this moment for Financial-Market-Simulator.
Financial-Market-Simulator Examples and Code Snippets
No Code Snippets are available at this moment for Financial-Market-Simulator.
Community Discussions
No Community Discussions are available at this moment for Financial-Market-Simulator.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Financial-Market-Simulator
You can download it from GitHub.
You can use Financial-Market-Simulator like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Financial-Market-Simulator like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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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