DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 3,385–3,420 of 14,444 resources
This project is mainly for newbies into algo trading who are interested in learning to code their own trading algo using python interpreter
A Python-embedded modeling language for convex optimization problems.
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
The most user friendly Deep Learning for humans in Python
A lightweight Python module for creating and running ordered graphs of computations.
Coinnect is a Rust library aiming to provide a complete access to main crypto currencies exchanges via REST API.
Data-flow programming toolkit for Python
Streaming reactive and dataflow graphs in Python
Fast datastore for Pandas time series data, built on Dask and Parquet
Simple to use Crypto Exchange REST API client in rust.
chartwithupwardstrend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine…
A Rust high performance cryptocurrency trading API with support for multiple exchanges and language wrappers.
PyTrendFollow - systematic futures trading using trend following
High Performance Runtime in Rust
A Go implementation of event-driven backtesting framework
Crawl orderbook and trade messages from crypto exchanges
Triangle arbitrage trading bot for Binance
Data visualization and analytics component built for large and streaming datasets, originally open sourced by J.P. Morgan
In-process analytical SQL database that queries Parquet and Arrow files directly, a common backend for research datasets
High performance reactive stream processing library written in C++ and Python, where the same graph runs in backtest and in real time
Loader for the 32 Papers With Backtest datasets on Hugging Face: daily prices back to 1962 for stocks, ETFs, indices, currencies and commodities, sovereign…
AI powered quantitative investment platform covering data collection, strategy research, backtesting and live trading
Algorithmic Trading with Python: Quantitative Methods and Strategy Development : Conlan, Chris: Amazon.fr: Livres
Noté /5. Retrouvez Python for Algorithmic Trading: From Idea to Cloud Deployment et des millions de livres en stock sur Amazon.fr. Achetez neuf ou…
Trading Evolved: Anyone can Build Killer Trading Strategies in Python : Clenow, Andreas F.: Amazon.fr: Livres
Noté /5. Retrouvez Python for Finance: Mastering Data-Driven Finance et des millions de livres en stock sur Amazon.fr. Achetez neuf ou d'occasion
Noté /5. Retrouvez How I Became a Quant: Insights from 25 of Wall Street's Elite et des millions de livres en stock sur Amazon.fr.…
Noté /5. Retrouvez My Life as a Quant: Reflections on Physics and Finance et des millions de livres en stock sur Amazon.fr. Achetez neuf…
Noté /5. Retrouvez Algorithmic Trading and DMA: An introduction to direct access trading strategies et des millions de livres en stock sur Amazon.fr. Achetez…
Introduction To Algo Trading: How Retail Traders Can Successfully Compete With Professional Traders : Davey, Kevin J: Amazon.fr: Livres
A Beginner's Guide to the Stock Market: Everything You Need to Start Making Money Today : Kratter, Matthew R.: Amazon.fr: Livres
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
The Little Book of Common Sense Investing: The Only Way to Guarantee Your Fair Share of Stock Market Returns (Little Books. Big Profits) :…
Noté /5. Retrouvez The Bitcoin Standard: The Decentralized Alternative to Central Banking et des millions de livres en stock sur Amazon.fr. Achetez neuf ou…
Advances in Active Portfolio Management: New Developments in Quantitative Investing : Grinold, Richard, Kahn, Ronald: Amazon.fr: Livres
