QLNet VS StockSharp

Compare QLNet vs StockSharp and see what are their differences.

QLNet

QLNet C# Library (by amaggiulli)
C# Finance Quant quantlib quantitative-finance
Source Code
amaggiulli.github.io
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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
Source Code
stocksharp.com
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QLNet StockSharp
15 134
372 6,638
- 1.5%
6.0 9.8
16 days ago 7 days ago
C# C#
BSD 3-clause "New" or "Revised" License 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.

QLNet

Posts with mentions or reviews of QLNet. 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 QLNet and StockSharp you can also consider the following projects:

qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

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

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

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.

ibgateway - Docker image for IBGateway

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

LiteNetLib - Lite reliable UDP library for Mono and .NET

ib_api - Interactive Brokers API in TypeScript / Kotlin / Java / Nim

Cryptostats-Java - Cryptostats is a streaming cryptocurrency data and analytics platform. Read more at https://www.cryptostats.dev

finnhub-dotnet - A .NET client for Finnhub API

ASP.NET Core - ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.

tdameritrade-matlab-api - TD Ameritrade API for MATLAB

QLNet vs qlib StockSharp vs Lean StockSharp vs backtesting.py StockSharp vs Stock.Indicators StockSharp vs ibgateway StockSharp vs fastquant StockSharp vs LiteNetLib StockSharp vs ib_api StockSharp vs Cryptostats-Java StockSharp vs finnhub-dotnet StockSharp vs ASP.NET Core StockSharp vs tdameritrade-matlab-api