Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架
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Updated
May 29, 2024 - C++
Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架
Portfolio Management with R: Backtesting investment and trading strategies, computing profit-and-loss and returns, reporting, and more.
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
Qt-based charting terminal for financial markets and forex
Professional Backtesting Engine for crypto, stocks and forex
Cryptocurrency trading bot, and backtesting framework in julia
Free trading system for crypto exchanges SPOT market. Adaptive customizable reverse grid strategy based on martingale.
Python Crypto Bot (PyCryptoBot)
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
A high-performance WebSocket integration library for streaming public market data. Used as a key dependency of the `barter-rs` project.
量化交易(数据类)引擎
Backgommon is a backtesting and simulation framework for trading strategies, written in pure go. It aims to be fast, flexible and easy to use.
An assistant for backtesting trading strategies and checking (showing) external signals in Tradingview implemented as a Chrome browser extension.
Sapient Cardano Assets Data Portal: Clean Data, Backtesting & Price Models for Native Tokens
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
Backtesting Algo-Trading Strategies, FinTech Analysis & Portfolio Optimization: NVDA, AMD, INTC, MSI vs S&P 500 Benchmark
Automated, open source crypto trading and backtesting platform
Backtesting of trading strategies with machine learning.
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