Difference between revisions of "StockYard"

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(Market Simulator (Demo))
 
Line 1: Line 1:
Note: this code is now just a demo for our ideas of market simulator.  
+
Note: The current code is an initial prototype for a stock exchange market simulator.  
  
 
<h1>Introduction</h1>
 
<h1>Introduction</h1>
 +
 
It is a discrete event simulation using the concept of Time Warps to simulate a Stock Exchange.<br>
 
It is a discrete event simulation using the concept of Time Warps to simulate a Stock Exchange.<br>
 
<h1>How to Download & Install</h1>
 
<h1>How to Download & Install</h1>
 
Note: To install and run the command you need to have git installed in your computer. And have permission to the qsrgsim repository<br>
 
Note: To install and run the command you need to have git installed in your computer. And have permission to the qsrgsim repository<br>
 
<h2>Download & Setup</h2>  
 
<h2>Download & Setup</h2>  
To download the repository type in the following command<br>
+
To download the repository type in the following command.<br>
 
  git clone https://github.gatech.edu/tb34/qsrgsim/
 
  git clone https://github.gatech.edu/tb34/qsrgsim/
  
 
<h1>How to Run</h1>
 
<h1>How to Run</h1>
The program executes by running the Bootstrap file<br>
+
The program executes by running the Bootstrap file.<br>
 +
Go to the directory where the repository is present and type in the following command.
 
   python bootstap.py
 
   python bootstap.py
 
<h2>Sample Output</h2>
 
<h2>Sample Output</h2>

Revision as of 05:07, 31 March 2016

Note: The current code is an initial prototype for a stock exchange market simulator.

Introduction

It is a discrete event simulation using the concept of Time Warps to simulate a Stock Exchange.

How to Download & Install

Note: To install and run the command you need to have git installed in your computer. And have permission to the qsrgsim repository

Download & Setup

To download the repository type in the following command.

git clone https://github.gatech.edu/tb34/qsrgsim/

How to Run

The program executes by running the Bootstrap file.
Go to the directory where the repository is present and type in the following command.

 python bootstap.py

Sample Output

The following is a sample output shown in the terminal

 ----------
 Id: 1
 Name: NASDAQ
 Type: exchange
 ----------
 Id: 1
 Name: Agent 1
 Exchange: NASDAQ
 Type: trader
 ----------
 Id: 2
 Name: Agent 2
 Exchange: NASDAQ
 Type: trader
 ----------
 Kernel Runner started
 time stamp: 0, awakening all messages
 Agent Agent 1 Started, Time Stamp: 0
 Agent Agent 2 Started, Time Stamp: 0
 ----------
 Agent: Agent 1
 Time Stamp: 3
 Ping Excahnge and wake up again in 6 minutes
 Exchange Recieved Ping Message from agent|  Time Stamp: 3
 Agent Recieved Ping Message from exchange Time Stamp: 3
 ----------
 Agent: Agent 2
 Time Stamp: 5
 Ping Excahnge and wake up again in 10 minutes
 Exchange Recieved Ping Message from agent|  Time Stamp: 5
 Agent Recieved Ping Message from exchange Time Stamp: 5
 ----------
 Agent: Agent 1
 Time Stamp: 6
 Ping Excahnge and wake up again in 9 minutes
 Exchange Recieved Ping Message from agent|  Time Stamp: 6
 Agent Recieved Ping Message from exchange Time Stamp: 6
 ----------
 .......
 ----------
 Agent: Agent 1
 Time Stamp: 21
 Ping Excahnge and wake up again in 24 minutes
 Exchange Recieved Ping Message from agent|  Time Stamp: 21
 Agent Recieved Ping Message from exchange Time Stamp: 21
 ----------
 Agent: Agent 1
 Time Stamp: 24
 Ping Excahnge and wake up again in 27 minutes
 Exchange Recieved Ping Message from agent|  Time Stamp: 24
 Agent Recieved Ping Message from exchange Time Stamp: 24

How to Configure

The configuration of the Agents and its properties are currently in a Q&A format as shown above.
We would be moving it to a properties file(csv/text format) from which the various key-value parameters can be read

Configuration Example

 Entern Exchange Name: NASDAQ
 Enter Duration of run: 24
 Enter Number of Trading Agents: 2
 Enter Agent ID: 1
 Enter Agent Name: Agent 1
 Interval time for ping: 3
 Enter Agent ID: 2
 Enter Agent Name: Agent 2
 Interval time for ping: 5

Description of API

Coming up later

Description of Software Component

Coming up later