🔥[NeurIPS'25] DeepFund: Pilot for Your Next Fund Investment
[NeurIPS 2025] 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.
PHD Research Focus
RL Forex Bot with PPO AI-powered trading bot using PPO, dynamic position sizing, AMD GPU acceleration (DirectML/OpenCL), and MetaTrader 5 integration.
K.I.T. - Knight Industries Trading: Autonomous AI Agent Framework for Financial Markets. Full autopilot trading across Crypto, Forex, Stocks, ETFs, DeFi.
End-to-End Python implementation of CompactPrompt (Choi et al., 2025): a unified pipeline for LLM prompt and data compression. Features modular compression pipeline with dependency-driven phrase pruning, reversible n-gram encoding, K-means quantization, and embedding-based exemplar selection. Achieves 2-4x token reduction while preserving accuracy.
Production-ready RLAIF trading system with multi-agent Claude AI that learns from market outcomes. Features 60+ indicators, foundation models, and serverless deployment.
GDSC Solution Challenge - Innovatrix
RL reward modeling + episodic trade memory + LoRA fine-tuning pipeline built on top of a multi-agent LLM trading system — LangGraph, LangChain, PEFT
AI-Powered Credit Scoring System | 99.7% Accuracy | Real-time Risk Assessment Advanced neural network solution for credit risk prediction using customer behavior analysis. Features 99.7% accuracy, real-time processing, and production-ready deployment pipeline for banking institutions. ✨ 99.7% accuracy • Real-time decisions • Multiple ML models
Multi-Agent AI System for Financial Operations | Fraud Detection | Compliance | Spend Analysis | LangGraph | FastAPI | Production-Ready
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.
Production-ready RAG financial system with query classification, A/B testing, Streamlit dashboard, and comprehensive evaluation framework.
Advanced financial NLP system developed within the Cambridge × Bank of England program. Extracts supervisory risk signals from JP Morgan & HSBC earnings call Q&A using LLMs, BERTopic and sentiment modelling.
Predict crypto prices using neural nets + LLM-powered custom loss functions on real Chainlink data (ETH/USD)
A deterministic agent that evaluates trade execution discipline against a defined trading plan and market regime.
Marketplace of domain-specific plugins for AI agents (Cowork, Claude Code, OpenClaw). Build autonomous business workflows for finance, banking, legal operations, and sales using modular agent skills and commands.
Production-style LangChain project demonstrating a financial research assistant that analyzes US stock market data using: LangChain, yfinance market and OpenAI
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