https://github.com/abhishekprajapatt/goquant
https://github.com/abhishekprajapatt/goquant
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/abhishekprajapatt/goquant
- Owner: abhishekprajapatt
- Created: 2024-12-18T18:50:00.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-12-18T19:24:24.000Z (11 months ago)
- Last Synced: 2025-05-16T14:43:52.785Z (6 months ago)
- Language: C++
- Size: 33.2 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# GoQuant
- **high-performance order execution and management system
## Overview
The GoQuant Assessment is a trading system designed to evaluate and execute trading strategies in real-time. This project aims to provide a robust framework for analyzing market data, executing trades, and optimizing performance. The system is built with a focus on efficiency, scalability, and ease of use.
## Features
- **Market Data Handling**: Efficiently fetch and process real-time market data.
- **Order Execution**: Execute buy and sell orders with minimal latency.
- **Performance Analysis**: Benchmark and analyze the performance of trading strategies.
- **Optimization Tools**: Tools for optimizing trading algorithms and system performance.
## Prerequisites
Before you begin, ensure you have the following installed:
- Go (version 1.16 or later)
- Git
- A supported database (e.g., PostgreSQL, MySQL) for storing trade data
- Any necessary API keys for market data providers or trading platforms
## Getting Started
Follow these steps to set up the GoQuant Assessment on your local machine:
### 1. Clone the Repository
```bash
git clone https://github.com/abhishekprajapati2006/GoQuant_Assignment
cd GoQuant_Assessment
### Explanation of the Sections:
1. **Overview**: A brief introduction to the project and its purpose.
2. **Features**: A list of key features offered by the trading system.
3. **Prerequisites**: Requirements that need to be fulfilled before setting up the project.
4. **Getting Started**: Step-by-step instructions for cloning the repository, installing dependencies, configuring environment variables, setting up the database, and starting the application.
5. **Usage**: Information on how to interact with the trading system and its components.
6. **Contributing**: Guidelines for contributing to the project.
7. **License**: Information about the project's licensing.
8. **Contact**: Contact information for support or inquiries.
Feel free to modify the content to fit the specific details and context of your GoQuant Assessment project.