What does quantaxis/quantaxis do?

QuantAxis is a quantitative trading platform and algorithmic trading framework. It provides a comprehensive local environment for backtesting strategies, managing financial market data, and executing trades across stocks, futures, and options markets.

What are the main features of quantaxis/quantaxis?

The main features of quantaxis/quantaxis are: Algorithmic Trading Frameworks, Trading Strategy Backtesters, Technical Indicator Calculators, Automated Trading Execution, Multi-Account Trading Protocols, Position Tracking, Quantitative Trading Platforms, Market Data.

What are some open-source alternatives to quantaxis/quantaxis?

Open-source alternatives to quantaxis/quantaxis include: fasiondog/hikyuu — Hikyuu is a quantitative trading framework designed for developing, backtesting, and executing systematic trading… yutiansut/quantaxis — Quantaxis is a quantitative trading framework designed for building, backtesting, and executing automated strategies… edtechre/pybroker — pybroker is a Python algorithmic trading framework and quantitative technical analysis library designed for… shinnytech/tqsdk-python — tqsdk-python is a quantitative trading SDK and framework designed for developing automated strategies for futures,… mementum/backtrader — Backtrader is a Python framework designed for the development, backtesting, and live execution of algorithmic trading… jesse-ai/jesse — Jesse is a Python algorithmic trading framework used for developing, backtesting, and executing quantitative trading…

QUANTAXIS | Awesome Repos

Features

Algorithmic Trading Frameworks - Provides a modular software platform for building, simulating, and executing automated investment strategies.
Trading Strategy Backtesters - Offers a high-performance engine for simulating trading strategies by validating logic against historical market data.
Technical Indicator Calculators - Includes an expression builder for creating and batch-processing custom technical indicators across entire markets.
Automated Trading Execution - Executes buy and sell orders for stocks and futures across multiple accounts through a unified interface.
Multi-Account Trading Protocols - Standardizes the tracking of holdings and orders across different exchanges through a common data representation layer.
Position Tracking - Standardizes the monitoring of holdings and trades across various financial markets and brokerage accounts.
Quantitative Trading Platforms - Offers a comprehensive local environment for backtesting strategies and executing trades across multiple financial markets.
Market Data - Implements a high-performance database system for storing and updating tick-level financial market data.
Time Series Databases - Provides a high-performance time-series store optimized for rapid retrieval of historical market ticks and order books.
Quantitative Financial Modeling - Provides tools for developing and testing mathematical indicators to identify predictive patterns in financial time-series data.
Technical Indicator Engines - Provides an expression-based builder for batch processing custom mathematical technical indicators across large datasets.
Unified Trading Interfaces - Provides a unified tool for monitoring positions and executing orders across various financial assets and brokerage accounts.
Shared Memory Data Exchange - Utilizes shared-memory regions to move large datasets between processes without copying overhead.
Distributed Computing Frameworks - Distributes asynchronous computational workloads across a local network of remote agents.
Quantitative Computing Distribution - Spreads heavy mathematical workloads and strategy simulations across remote agents to increase processing speed.
Distributed Task Schedulers - Coordinates recurring jobs and spreads asynchronous computations across a network of remote agents.
Distributed Task Workers - Implements a system for spreading heavy quantitative computations across a network of remote worker nodes.
Message Bus Architectures - Uses a pub-sub message bus to coordinate real-time data flows and task distribution between system components.
Trading Frameworks - Local quantitative solution for data, backtesting, and multi-account trading.

Alternative open-source pentru QUANTAXIS

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shinnytech/tqsdk-python
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Vezi toate cele 30 alternative pentru QUANTAXIS

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QUANTAXIS

Features

Alternative open-source pentru QUANTAXIS

fasiondog/hikyuu

yutiansut/QUANTAXIS

edtechre/pybroker

shinnytech/tqsdk-python

Frequently asked questions

Istoric stele

Alternative open-source pentru QUANTAXIS

fasiondog/hikyuu

yutiansut/QUANTAXIS

edtechre/pybroker

shinnytech/tqsdk-python

Frequently asked questions