stock VS StockSharp

Compare stock vs StockSharp 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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StockSharp

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options). (by StockSharp)
Trading trading-strategies trading-robots trading-platform algorithmic-trading-engine Forex Bitcoins Broker quantitative-finance Fixprotocol Finance hft-trading interactive-brokers Crypto Cryptocurrency Stocks Backtesting C# Brokers algorithmic-trading
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stocksharp.com
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stock StockSharp
5 134
973 6,638
- 1.2%
7.6 9.8
10 days ago 7 days ago
Python C#
Apache License 2.0 Apache License 2.0
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.

StockSharp

Posts with mentions or reviews of StockSharp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-22.

What are some alternatives?

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

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

Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

pybroker - Algorithmic Trading in Python with Machine Learning

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

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.

Stock.Indicators - Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.

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.

ibgateway - Docker image for IBGateway

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

fastquant - fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

LiteNetLib - Lite reliable UDP library for Mono and .NET

stock vs alpaca-ts StockSharp vs Lean stock vs pybroker StockSharp vs backtesting.py stock vs qf-lib StockSharp vs Stock.Indicators stock vs Quantropy StockSharp vs ibgateway stock vs Estimator StockSharp vs fastquant stock vs backtesting.py StockSharp vs LiteNetLib