Gainful - AI Quant Advisor Platform
A scalable web platform enabling users to create their own custom agentic quant advisors using fine-tuned LLMs and custom ML pipelines for stock price prediction.
Project Overview
Gainful is a cutting-edge platform that democratizes quantitative trading by allowing users to create personalized AI-powered investment advisors. The platform combines modern web development with advanced machine learning techniques.
Key Features
- Custom Agent Creation: Users can build their own quant advisors tailored to their investment strategies
- ML-Powered Predictions: Multiple model architectures for stock price prediction
- Natural Language Interface: Chat with your advisor using plain English
- Real-time Analysis: Live market data integration and sentiment analysis
Technical Implementation
Frontend
Built an easy-to-use, accessible UI using React, SCSS, Redux Toolkit, and Jest for comprehensive testing.
Machine Learning Pipelines
Created, trained, and back-tested custom ML pipelines for stock price prediction:
- LSTM Networks: For sequential time-series analysis
- Hybrid Transformer: Attention-based architecture for capturing long-range dependencies
- Hybrid Ensemble: Combining LSTM, XGBoost, Random Forest, and LightGBM for robust predictions
AI/NLP Layer
Prompt-engineered and fine-tuned Llama 2 70B and BERT models to:
- Gather user intention through natural conversation
- Generate news sentiment analysis
- Create and configure new trading agents dynamically
Built using LangChain and LangGraph for agent orchestration, with FastAPI powering the backend services.
Challenges & Solutions
One of the main challenges was balancing model accuracy with inference speed. We implemented a tiered prediction system where quick ensemble models handle real-time requests, while more sophisticated transformer models run for detailed analysis during off-peak hours.