DUCKQUANT / THE QUANT & AI DIRECTORY
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AI-powered algorithmic trading agent for the Charles Schwab API. Python, options strategies (wheel/theta, covered calls, iron condors, verticals), quantitative
Framework for building sophisticated Investment Research AI agents
Sample App using Agent Framework for analysis of investment opportunities
Analyse environmental, social, and governance policies for potential gaps using AI - powered by LLMs, RAG techniques, and a regulatory knowledge base using
Financial Domain Question Answering with pre-trained BERT Language Model
Python Streamlit web app utilizing OpenAI (GPT4) and LangChain LLM tools with access to Wikipedia, DuckDuckgo Search, and a ChromaDB with previous research
The AI-Powered Investment Decision Support Platform is a scalable fintech application that intelligently analyzes stock market data, tracks user portfolios
Commercial real estate AI agent skills for CRE underwriting, due diligence, financing, brokerage, legal and closing workflows - standalone prompts for Claude
Legal flags a risk. Finance flags another. We connect and cite. Open-source forensic M&A due diligence: 13 AI agents read your data room across…
(Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"
One of the most critical application areas in the Financial Market especially sits on Stock Markets. In this area, the aim is trying to…
Discover the trading in Python with many strategies, including deep learning approaches. TradingInPython is an open software platform that empowers traders
Stock market indexes predictions have always been under the radar of stalwarts belonging from the domains of econometrics, statistics, and mathematics. This
AI-native event-driven trading engine. Rust core with Python RL bindings. Built-in Gymnasium environments, LLM agents, SHAP explainability, and model
Engineered an advanced deep learning model to automate the classification of financial documents, including Balance Sheets, Cash Flow and Income Statements
An end-to-end Python implementation of Cao et al.'s (2025) HLPPL methodology for the identification of financial (asset price) bubbles. Implements 7-parameter
This project aims to build effective stock selection models based on machine learning tools such as Keras, Tensorflow, XGBoost, etc., for Chinese stock market
AchillesV1 is an AI-powered trading bot designed to automate stock market investments. In a demo account, this system achieved an 182% return on investment…
Cross-sectional Transformer and FFN for stock return prediction and alpha generation. Implements GKX (2020) NN5 replication and MSRR loss (Kelly et al. 2025)
CLI-based BIST-100 prediction system with Rust-powered feature engineering, quantitative signals, and ensemble ML models
Whole-system multidimensional financial time series prediction and simulation from timestamped prices only
Transformer model for stock evolution prediction
An open-source AI hedge fund. A panel of AI analysts and quant models research tickers, each forms a view, and the portfolio layer turns…
Open-source personal finance app with an AI financial advisor: track your net worth, investments, ETFs, cash and debts on your own computer
WorldQuant Alpha Mining Framework - LLM-driven factor discovery and backtesting
Machine learning projects including SMS spam detection and stock movement prediction
Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising
Algorithm for optimized Forex Trading using Ensemble of Deep Q-Learning Agents
Use Deep Learning techniques to trade in Chinese Financial Market. (Algorithm Trading)
Implementations of sparse matrix multiplication (SpMM) algorithms optimized for the Cerebras WSE-2. It explores performance trade-offs in spatial computing and
Code to Cash is an end-to-end algorithmic Forex trading system that harnesses deep learning to forecast currency movements and executes trades automatically
I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the…
MT5 factor mining, backtest, and web training UI
QuantWise is an advanced analytics platform merging machine learning with quantitative finance to deliver institutional-grade tools for retail investors. It
Machine Learning, Google Cloud and Quantitative Algorithms for Stocks Trading
This is a repository for implementing various algorithmic trading and quantitative analysis techniques for the Indian Stock Market using Python. It includes a
