DUCKQUANT / THE QUANT & AI DIRECTORY
976 resources, ranked by in-directory PageRank
Transaction-oriented infrastructure for constructing trading systems and simulation. Provides support for multi-asset class and multi-currency portfolios for…
Pricing analytics and Monte Carlo simulation for stochastic volatility models, including the log-normal SV model and the Heston model
Open-source native macOS market cockpit. 12-timeframe consensus scan across 3370 symbols (crypto equity ETF FX commodity bond), 23 technical indicators with…
Local-first macOS workbench for A-share and US stock strategy screening, paper trading, position sizing, and risk alerts with read-only broker integrations.
MCP - Self-hostable data and analytics service with equity technical indicators, multi-chain portfolio valuation, market-data adapters, and MCP interfaces
A utility for crawling historical and Real-time Quotes data of China stocks. (Last updated: 2024-08-27)
Technical Analysis Indicators - Pandas TA Classic is an easy to use Python 3 Pandas Extension with 250+ Indicators and Candlestick Patterns
Create stock or general timeline charts for your web and mobile apps. Features user annotations and over 40 built-in Technical Indicators. Licensed
Easy-to-use cryptocurrency trading strategy simulator and backtester
library of various financial technical indicators
Self-hosted crypto trading bot featuring built-in strategies like GRID and DCA. Provides a UI for managing multiple bots, including paper trading and…
A beautiful, private, local-first personal finance tracker. Investments, net worth, spending, and simulations
TechAn is a technical analysis library for Go! It provides basic and advanced technical analysis indicators, profit and trade analysis and strategy building
Trading and technical-analysis bot that scans markets and pushes alerts for configurable indicator conditions.
Skill for vectorbt backtesting with setup, backtest, optimization, quick stats, strategy comparison, and reusable strategy templates
30+ tools for real-time TradingView market data, technical analysis, screeners, and backtesting across stocks, crypto, forex, and futures
Project providing the Jupyter Notebook and JupyterLab interactive computing environments.
Amazon.com: Convex Optimization: 9780521833783: Boyd, Stephen, Vandenberghe, Lieven: Books
Technical Analysis from A to Z, 2nd Edition [Achelis, Steven B.] on Amazon.com. *FREE* shipping on qualifying offers. Technical Analysis from A to Z,…
Python framework for backtesting and deploying trading strategies across crypto and stock brokerages.
Go-based crypto trading bot with backtesting, paper trading and live risk management.
Self-hosted crypto trading bot with configurable buy/sell strategies, DCA and Telegram control.
Self-hosted crypto trading bot with configurable strategies, TradingView integration and no monthly fee.
Fundamental stock research service using automated analysis to screen and rank companies.
SEC filing and earnings transcript research platform with search and document tooling.
IMC's annual global trading challenge where participants write algorithms for simulated markets.
Backtesting.py is a Python framework for inferring viability of trading strategies on historical (past) data. Improved upon the vision of Backtrader, and by…
Perform technical analysis of financial market data
A Go implementation of event-driven backtesting framework
Crawl orderbook and trade messages from crypto exchanges
Triangle arbitrage trading bot for Binance
Loader for the 32 Papers With Backtest datasets on Hugging Face: daily prices back to 1962 for stocks, ETFs, indices, currencies and commodities, sovereign…
Noté /5. Retrouvez Naked Forex: High-Probability Techniques for Trading without Indicators et des millions de livres en stock sur Amazon.fr. Achetez neuf ou d'occasion
AI for Investor: web-based full-cycle Backtrader strategy platform (Vue 3 + FastAPI) covering research, AI strategy generation, backtesting, paper trading
Local, distributed Chinese quant suite covering stock, futures and options data, backtesting and trading.
Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
