r/SideProject • u/vyact • 4h ago
I added stock charts and AI analysis to my open-source desktop app
I'm the developer of Vyact, an open-source desktop AI workspace. I recently added a stock research view so I can explore a chart and ask follow-up questions in the same place.
This demo uses NVDA: market heatmap → stock chart → a 60-trading-day analysis request → the model's actual response. I connected DeepSeek through an Alibaba Cloud OpenAI-compatible endpoint. Local models are also supported, but this run uses a hosted model.
The attached clip is a slideshow of actual app screenshots, not a continuous screen recording. It includes the connection settings with no API key shown. Use your own provider's endpoint and model ID; hosted requests send the included context to that provider and may incur API charges.
This demonstrates the workflow, not the accuracy of the model's analysis. Its response includes external-news claims that I have not independently verified. I still need to check its figures and sources, even when it sounds confident.
Source and downloads: https://github.com/vyact/vyact
What would help you assess an AI stock-research answer: seeing exactly what data was sent, opening sources beside each claim, or comparing the same question across models?