DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 14,293–14,328 of 14,444 resources
A backtesting engine for testing trading strategies over GDAX (Coinbase Pro) marketplace data
Simple BackTest Engine inspired by Backtrader framework available in python.
Scalable algorithmic trading backtesting engine for multi-asset strategies with automated reporting across NIFTY 50 equities.
Backtesting engine built in C# to explore and experiment with various trading strategies at scale.
Public repository by Miles-Deutscher. Primary language: TypeScript.
Numba JIT accelerated backtesting engine for trading strategies
Monte Carlo simulation and Sharpe Ratio analysis for WorldQuant BRAIN 2025 Quant Consultant Program.
VaR/ES forecasting and backtesting of a 30-stock equity portfolio in Python
Daily Value-at-Risk (VaR) modeling and backtesting on Natixis equity data (Empirical, Gaussian, Kernel).
Event-driven backtesting framework with realistic market microstructure simulation, supports limit/market orders, slippage modeling, and transaction cost analysis
Mode brings laboratory-quality chemical measurement into the field with a system designed around sensitive measurement, longer deployment and simple integration into existing monitoring networks.
2nd edition
Explore this resource at its source website for documentation and current information.
Public repository by auriorajaa. Primary language: Python.
AI-powered trading system for Polymarket prediction markets. Built on 40+ years of research using mean reversion, GPT-4o analysis, and multi-model paper trading. Live at…
A project that uses machine learning techniques to build a backtesting engine for trading and to analyze stock market data and make predictions.
ShubhLedger is a web-based Crypto Portfolio Tracker that allows users to monitor cryptocurrency holdings, investments, and real-time portfolio value through a unified and interactive…
Public repository by Luckysuthar17. Primary language: JavaScript.
AI-powered stock analysis tool with technical indicators, backtesting, S&P 500 benchmarking, and web-researched recommendations via Groq API
StockSage AI is a sophisticated stock market analysis and prediction platform that leverages machine learning and technical analysis to provide actionable investment insights. The…
LSTM-MISA is an advanced stock analysis tool leveraging the power of Long Short-Term Memory (LSTM) neural networks to predict stock prices and market trends.…
AI-powered stock analysis tool that provides comprehensive fundamental research using Alpha Vantage API and advanced language models.
Public repository by saleh-mir. Primary language: Python.
Public repository by mushroomyyy. Primary language: Python.
Winner of 2023 Jane Street Trading Competition
Comprehensive Market Risk VaR framework with 5 methodologies (Parametric, Historical, Monte Carlo, Factor-Based, GARCH), Expected Shortfall, Basel III backtesting, stress testing, and Component VaR…
Quantitative market risk model monitoring framework implementing 99% one-day VaR using Historical, Parametric, EWMA, and Monte Carlo methods. Includes rolling out-of-sample forecasting, Kupiec and…
Calibrated event-driven BTC limit-order-book simulator for market impact, transaction cost analysis, and adaptive execution strategy research.
AI-Powered Crypto Insights & Trading Dashboard using AI Agents and LLMs
Prior-day highs and lows on Binance and OKX perpetuals, each set against a level built the same way that no chart draws, with the…
Discover MCP servers that connect Claude and Cursor to tools like Figma, Databricks, Storybook, and Ghidra. Browse the MCP Market to get started.
Welcome to QuantConnect
Welcome to QuantConnect status page for real-time and historical data on system performance.
Trade predictions on Myriad
Explore this resource at its source website for documentation and current information.
