[ICLR 2025 Financial AI Workshop] A multi-agent framework that leverages LLMs to simulate socio-economic systems
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Updated
Apr 20, 2025
[ICLR 2025 Financial AI Workshop] A multi-agent framework that leverages LLMs to simulate socio-economic systems
💹 StockSim: Multi-Agent LLM Financial Market Simulator — A realistic trading simulation platform for evaluating large language models in dynamic financial environments.
Simple Finance Forecasting Ai. This Ai Model uses historical price data to forecast future prices. The model is trained on data downloaded from Yahoo Finance using the yfinance library, and predictions are made using a linear regression Ai model from sklearn. The model supports all the symbols supported by Yahoo Finance.
RL Forex Bot with PPO AI-powered trading bot using PPO, dynamic position sizing, AMD GPU acceleration (DirectML/OpenCL), and MetaTrader 5 integration. Features auto data from Dukascopy, Optuna tuning, W&B tracking. Research-grade, live-ready.
PHD Research Focus
GDSC Solution Challenge - Innovatrix
Agentic AI involves several key components. This is an AI Agent for trading.These agents typically use reinforcement learning (RL) methods to optimize their behaviour over time through interactions with an environment.
Predict crypto prices using neural nets + LLM-powered custom loss functions on real Chainlink data (ETH/USD)
Automated earnings analysis and stock price prediction using LLMs and financial data
Conversational RAG chatbot for financial expertise using LangChain, OpenAI GPT-4, and Pinecone. Provides personalized investment advice with chat memory and query classification.
A credit risk modeling project to predict loan defaults using financial data from Lending Club. Includes data cleaning, class imbalance handling with SMOTE, model training with LightGBM and SVM, and actionable insights for lenders.
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