stock VS Quantropy

Compare stock vs Quantropy and see what are their differences.

stock

stock股票.获取股票数据,计算股票指标,识别股票形态,内置选股策略,股票验证回测,股票自动交易,支持PC及移动设备。 (by myhhub)
backtest Backtesting Broker Finance Markets Quantitative quantitative-finance Stock Stocks Strategies Strategy Trading trading-strategies broker-trading-platform
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Quantropy

Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeling, stock screening, portfolio optimization, and broker API. (by AlainDaccache)
Finance Trading financial-markets Strategies Machine Learning Edgar quantitative-finance portfolio-construction portfolio-optimization fundamental-analysis broker-api financial-data
Source Code
quantropy.readthedocs.io
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stock Quantropy
5 7
973 110
- -
7.6 0.0
9 days ago over 1 year ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

stock

Posts with mentions or reviews of stock. We have used some of these posts to build our list of alternatives and similar projects.

Quantropy

Posts with mentions or reviews of Quantropy. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing stock and Quantropy you can also consider the following projects:

alpaca-ts - A TypeScript Node.js library for the https://alpaca.markets REST API and WebSocket streams.

deepdow - Portfolio optimization with deep learning.

pybroker - Algorithmic Trading in Python with Machine Learning

py-edgar - A small library to access files from SEC's edgar

qf-lib - 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.

mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Estimator - Statistics and performance metrics in trading, CAGR, Sharpe, MAE, MFE, and others.

StockSharp - Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

lumibot - Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more

stock vs alpaca-ts Quantropy vs deepdow stock vs pybroker Quantropy vs py-edgar stock vs qf-lib Quantropy vs mlfinlab stock vs Estimator stock vs StockSharp stock vs backtesting.py stock vs vectorbt stock vs lumibot