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Description

Create your own trading bot or lease one in just a few minutes, utilizing automated trading solutions hosted in the cloud without the need for software downloads. We provide server rentals to facilitate this process, ensuring compatibility with all leading Bitcoin exchanges as well as numerous other cryptocurrency platforms for both backtesting and live trading scenarios. Explore our marketplace for trading strategies, where users can buy and sell their approaches. Our backtesting tool allows you to evaluate how your strategy would perform under various market conditions. Additionally, we offer instant email alerts and SMS notifications to keep you updated. Our goal is to supply an API for developers to craft comprehensive trading algorithms effortlessly. Furthermore, our automated trading platform supports backtesting and execution of trading scripts written in CoffeeScript, enabling you to analyze historical data effectively. With these features, users have the tools necessary to refine their trading strategies and enhance their market presence.

Description

QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. Built on Docker, QuantRocket can be deployed locally or to the cloud and has an open architecture that is flexible and extensible. It provides a JupyterLab environment, offers a suite of data integrations, and supports multiple backtesters: Zipline, the open-source backtester that originally powered Quantopian; Alphalens, an alpha factor analysis library; Moonshot, a vectorized backtester based on pandas; and MoonshotML, a walk-forward machine learning backtester.