DUCKQUANT / THE QUANT & AI DIRECTORY
976 resources, ranked by in-directory PageRank
PineTS is a TypeScript implementation of the Pine Script language, allowing you to write trading indicators and strategies using TypeScript.
Learn skills in data analysis, programming, and financial mathematics in the JPMorgan Chase & Co Quantitative Analysis job simulation on Forage
Professional NSE and Nifty stock analysis with screening, swing trading, ICT concepts, backtesting, sector rotation, valuation, and risk management for Indian…
Explore this resource at its source website for documentation and current information.
This book teaches the fundamental concepts of quantitative trading and how to use Python to build trading models and strategies from scratch.
Backtest Python trading strategies on 20 years of market data. Every run is replayed and verified server-side, and a public leaderboard re-scores every strategy…
Alpaca Trading API integrated with backtrader
backtesting and algotrading options using Interactive Brokers API (native python api)
A simple backtesting engine for trading strategies in Python, allowing for simulated trades based on historical market data with functionality for trading logic, calculating…
Virtuoso is a Python-based backtesting tool designed for traders and quantitative analysts who want to evaluate scalping and intraday trading strategies using historical market…
Backtest of different trading strategies for cryptocurrencies on historical market data
Analyze historical market data using Jupyter Notebooks
A quantitative trading strategy backtester with an interactive dashboard. Enables users to implement, test, and visualise trading strategies using historical market data, featuring customisable…
A screener to view GEX analysis of main instruments from databento (market data provider) API calls
DeFi Yield Intelligence Platform — 29 chains, multi-factor risk engine, Monte Carlo simulation
This project used Neural Networks and ARIMA to perform portfolio rebalancing. Their performance is measured using MSE and the more efficient algorithm is used…
A backtester written in python with NumPy and Pandas, showcasing Dollar-Cost-Averaging (DCA) and DCA with portfolio rebalancing.
Python code for rolling Value at Risk(VaR) of fiancial assets and some of economic time series, based on the procedure proposed by Hull &…
Conditional Value-at-Risk (CVaR) portfolio optimization benchmark problems for fully general Monte Carlo distributions and derivatives portfolios.
Implementation of a variety of Value-at-Risk backtests
Simulating financial markets using Geometric Brownian Motion (GBM), Monte Carlo methods, and risk metrics like Value at Risk (VaR)
Options volume signal extraction and backtest engine — processes 577GB DiscountOptionsData into SQLite, validates unusual options activity as alpha signal
A comprehensive halal crypto screener for Swiss Islamic Finance
A decent Crypto screener with real time data.
Public repository by jorgecedi. Primary language: Python.
A Discord crypto bot that tracks Binance USDT-M futures, analyzes price and volume trends, provides real-time trading signals, and updates on top gainers and…
Blockchain AML/Sanctions compliance tool by Osman Sonmez
A coinmarketcap-inspired Cryptocurrency Portal built with React
In this project I will create a system for monitoring some list of stocks daily and send a automatic email at the end of…
Public repository by Ambassador-of-programming. Primary language: Python.
My simple crypto screener
Pump and dump crypto screener with Telegram alerts
