Search Results for "trading"
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14 projects for "trading" with 2 filters applied:
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Zipline Reloaded
Zipline, a Pythonic Algorithmic Trading Library
Zipline Reloaded is a maintained Python library for event-driven backtesting of algorithmic trading strategies. It continues the original Zipline project after Quantopian ended operations. Developers write trading algorithms while the engine simulates orders, market events, portfolio changes, and strategy performance over historical data. Common statistics such as moving averages and linear regression are available within algorithm workflows. -
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Sov.ai
A curated list of practical financial machine learning tools and apps
Financial Machine Learning is a curated directory of practical tools, repositories, datasets, papers, and educational resources for quantitative finance. It organizes material across trading, forecasting, portfolio construction, risk, alternative data, and financial machine learning techniques. Dedicated sections cover supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, and time-series analysis. Entries include descriptions, popularity data, maintenance indicators, and editorial ratings to help readers compare resources. ... -
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easyquant
Stock quantification framework to support market acquisition
Trading support includes several Chinese broker clients and Xueqiu simulated portfolios. Strategies inherit from a common template and receive events containing current market information and account access. The repository includes example strategies, custom engines, account configuration files, logging, timers, and testing material. -
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CCXT
JavaScript/TypeScript/Python/C#/PHP cryptocurrency trading API
The ccxt library is a collection of available crypto exchanges or exchange classes. Each class implements the public and private API for a particular crypto exchange. All exchanges are derived from the base Exchange class and share a set of common methods. To access a particular exchange from ccxt library you need to create an instance of corresponding exchange class. Supported exchanges are updated frequently and new exchanges are added regularly. -
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Librelancer
A re-implementation of Freelancer
Librelancer is an open-source reimplementation of the engine behind Freelancer, the iconic 2003 space trading and combat simulation game by Microsoft. Written in C# and powered by OpenGL and modern game development practices, Librelancer faithfully replicates the original gameplay while providing a flexible codebase for modding, analysis, and future enhancements. It supports original assets and is designed to be both a preservation project and a foundation for new space simulation games inspired by Freelancer’s legacy. -
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LombokCharts
Canvas and SVG renderers, LTTB decimation,real-time streaming layer
LombokCharts A zero-dependency charting library for the browser. It pairs a small grammar-of-graphics core (Data → Scale → Mark) with pluggable Canvas and SVG renderers, LTTB decimation, and a real-time streaming layer — so the same API draws a five-point bar chart or a five-million-point line without changing shape. -
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pytrade
Python functions for trading
Python functions for trading. Fonctions Python pour le trading. -
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quantitative
Quantized transactions python3
...The README and associated lessons walk the user through implementing algorithms, likely covering data handling, backtesting, and maybe simple trading logic. As an open-source educational resource, it’s designed for Python users interested in automatic trading, algorithmic strategies, and financial data analysis. -
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exchange-core java
Ultra-fast matching engine written in Java based on LMAX Disruptor
Exchange-core is an open source market exchange core based on LMAX Disruptor, Eclipse Collections (ex. Goldman Sachs GS Collections), Real Logic Agrona, OpenHFT Chronicle-Wire, LZ4 Java, and Adaptive Radix Trees. HFT optimized. Priority is a limit-order-move operation mean latency (currently ~0.5µs). Cancel operation takes ~0.7µs, placing new order ~1.0µs. Pipelined multi-core processing (based on LMAX Disruptor): each CPU core is responsible for certain processing stage, user accounts... -
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backtrader
Python Backtesting library for trading strategies
backtrader is a Python framework for developing, backtesting, and running trading strategies. Its Cerebro engine coordinates strategies, data feeds, brokers, indicators, analyzers, and execution. Developers can combine multiple strategies, instruments, and timeframes while resampling or replaying market data. The framework includes a large indicator library, custom indicator support, analyzers, position sizing, commissions, and trading calendars. -
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easytrader
Python toolkit for automating and integrating stock trading
easytrader is a Python toolkit for automating and integrating quantitative stock trading workflows in the Chinese market. It can control supported desktop trading clients and also work with official MiniQMT interfaces. The project supports Xueqiu portfolio operations and can track simulated strategies from platforms such as JoinQuant and RiceQuant. Remote operation mode lets trading functions be exposed outside the local client environment. -
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easyquotation
Get free stock quotes in real time, supporting Sina
...Developers can request complete market snapshots or query specific Shanghai, Shenzhen, Beijing, and Hong Kong securities. Returned records include prices, bid and ask data, volume, turnover, highs, lows, and other trading fields when available. The library also includes Tencent Hong Kong daily K-line support and selected ETF information from Jisilu. Built-in stock-code data can be refreshed as listings change. Its small API makes it useful as a market-data component in scripts, dashboards, and quantitative trading systems. -
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QuantComponents
Free Java components for Quantitative Finance and Algorithmic Trading
An open-source framework for financial time-series analysis and algorithmic trading, based on Java and OSGi, with an Eclipse front-end. * Highly modular: usable as plain java API, OSGi components, or integrated into Eclipse * Standalone or client-server architecture, depending on performance and reliability needs * Integrated with Interactive Brokers through IB Java API * Generic broker API, it can easily be extended to work with other brokers * It works with historical and/or realtime market data * Backtesting facility * Extensible SWT charting library -
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Tullibee provides Java EE components that work with Interactive Brokers' financial-trading Java API (the IB API). Tullibee's current focus is a JCA 1.6 resource adapter built on top of a modified version of the IB API.
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