AssetWise for Algorithmic Trading

Welcome to AssetWise, a GUI-based desktop application written in Rust! This program is designed to test stock exchange strategies using methods such as SMA5, SMA12, ARIMA, and Kalman Filter.

Features

• ARIMA Strategy: Implements the ARIMA (AutoRegressive Integrated Moving Average) model for time-series prediction.
• SMA5 / SMA12 Strategies: Uses Simple Moving Averages (SMA) with two different periods (5 and 12) for trend analysis.
• Kalman Filter: Applies the Kalman Filter for smoother trend estimation.
• Company Name Input: Analyze company stocks by entering their name, not just their ticker symbol.
• Customizable Settings: Choose between different themes and graph types (standard and candlestick charts).
• Graphical User Interface (GUI): AssetWise provides an intuitive and easy-to-use GUI for testing strategies.

Application Preview

Here are some screenshots of the application in action:

About

AssetWise is developed by a master's degree student for research purposes in algorithmic trading. It explores the effectiveness of ARIMA, SMA, and Kalman Filter strategies in automated trading systems.

Installation

To build and run AssetWise, ensure you have Rust installed on your system. Then, clone this repository and use Cargo to build the project.

git clone https://github.com/ronik-v/assetwise.git
cd assetwise
cargo build --release

Usage

After building the project, you can run the Trade Robot from the command line:

cargo run

License

This project is licensed under the MIT License. See the LICENSE file for details.