Empowering everyone to invest smarter — no code required.
Investing can feel intimidating — especially for beginners and non-technical individuals who understand the market but lack the tools to analyze data or code strategies.
We envisioned InvestIQ as a platform that simplifies algorithmic trading and democratizes financial insights through the power of AI.
Our mission is to make algorithmic investing approachable, educational, and actionable for everyone.
InvestIQ is an AI-driven financial insights platform designed for:
- Beginners — Learn investing principles through simple, interactive AI conversations.
- Non-technical investors — Create, test, and refine algorithmic trading strategies using plain English.
- Simplified Education: Complex financial concepts are broken down into easy-to-grasp explanations.
- Natural Language Strategy Building: Describe a trading idea, and InvestIQ converts it into a functional algorithm.
- Real-Time Testing: Simulate strategies with realistic market data to evaluate performance.
- Actionable Feedback: Receive AI-powered recommendations to refine and optimize your approach.
- Vision-Integrated Graphs: Generate performance graphs analyzed with Llama 90B Vision, enhancing visual insights using cutting-edge image modeling.
InvestIQ leverages a robust AI and web tech stack for speed, scalability, and usability.
| Technology | Role |
|---|---|
| SambaNova Cloud | Powered ultra-fast data processing and real-time AI responses. Integrated Llama 90B Vision for advanced graph visualization and Llama 3.1 8B for conversational AI. |
| Autogen | Provided the autonomous agent framework for guided strategy creation and iteration. |
| Cohere | Managed natural language embeddings to translate user intent into executable trading logic. |
| Perplexity | Enhanced educational components and data-backed strategy recommendations. |
| Next.js | Built the intuitive, responsive frontend with interactive drag-and-drop tools. |
| Flask | Handled backend logic, algorithm execution, and feedback delivery in real time. |
- Translating natural language into precise trading algorithms without overwhelming users.
- Balancing educational simplicity with functional power for advanced users.
- Maintaining realistic simulation feedback without complexity.
- Integrating graph data into vision-based AI models for visual intelligence.
- Enabled non-technical users to build and test trading strategies — no coding required.
- Successfully integrated Llama 90B Vision for data visualization.
- Delivered real-time performance insights with lightning-fast AI.
- Created a scalable, educational platform bridging the gap between financial knowledge and algorithmic trading.
- Designing for accessibility demands empathy and simplicity.
- Real-time AI can fundamentally transform how users interact with complex financial systems.
- Vision models like Llama 90B open new horizons for visual data comprehension.
- Iterative user testing is key to refining experiences for both beginners and advanced investors.
- Community Sharing: Let users share and discover community-built trading strategies.
- Predictive Analytics: Integrate AI-driven market forecasting tools.
- Live Trading Integration: Securely connect simulated strategies to real brokerage accounts.
- Custom AI Models: Personalize investment strategies for specific industries, risk profiles, or trading styles.
SambaNova Cloud • Llama 90B Vision • Llama 3.1 8B • Autogen • Cohere • Perplexity • Next.js • Flask
InvestIQ was built by a passionate team aiming to make financial intelligence universally accessible.
We believe that AI + education can empower the next generation of investors.
🚀 Invest smarter. Trade smarter. Learn faster — with InvestIQ.