
WebStorm
Sublime Text
Netbeans
IntelliJ IDEA
VS Code
Microsoft Visual Studio
Vim
Xcode
Backtrader
QuantConnect
Quantopian
CloudQuant
QuantRocket
Intrinio
Gekko Plus
Quantreex
WebStorm
BacktraderBased on our record, Backtrader seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I do like what I see and hear about backtrader.com. I would say they are a notable exception to my general rule of not trusting or using backtesting frameworks. However, I still think it is important to understand how the framework you are using works. So if you are using backtrader for backtesting you still need to put in the time to understand the backtesting engine. Source: about 3 years ago
What about backtrader.com? And I feel like it would be step 2 after you at least have something to backtrade and test haha. Source: about 3 years ago
Backtesting is basically applying your strategy on historical price data to see if it makes money. I've used Backtrader it works decently well: https://backtrader.com/. Source: over 4 years ago
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
QuantConnect - QuantConnect provides a free algorithm backtesting tool and financial data so engineers can design algorithmic trading strategies. We are democratizing algorithm trading technology to empower investors.
Netbeans - NetBeans IDE 7.0. Develop desktop, mobile and web applications with Java, PHP, C/C++ and more. Runs on Windows, Linux, Mac OS X and Solaris. NetBeans IDE is open-source and free.
Quantopian - Your algorithmic investing platform
IntelliJ IDEA - Capable and Ergonomic IDE for JVM
CloudQuant - Crowd based algorithmic trading development and backtesing for stock market trading.