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Based on our record, QuantConnect should be more popular than Microsoft Visual Studio. It has been mentiond 9 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.
While the editor seems to old fashioned there isn't anything particularly wrong in using it for learning. Alternatively you can propose to your teacher about https://visualstudio.microsoft.com/vs/express/ . IMO editor is not a big factor when we are talking about high school learning. Source: almost 4 years ago
I use https://quantconnect.com/ to backtest new algos and discover new algos. They support C# and python. Source: over 2 years ago
Use quantconnect.com, their API forces you to use OOP there so it's a good practice. Source: almost 3 years ago
For stocks and crypto: QuantConnect and Backtrader For options: MesoSim and OptionNetExplorer. Source: almost 3 years ago
Only you can teach you how to do it. quantconnect.com has a lot of tutorials and other documentation that should be enough for you to learn from. I'm still learning the process of backtesting and I'm not aware of an "easy" way to perform this type of work. Source: almost 3 years ago
Thanks for the pointer. quantconnect.com and interactive brokers. I have a little fantasy that I'll do this once I retire and hand over 1% of my nest egg to it; see how it does... Hand over some more, etc... Source: over 3 years ago
Xcode - Xcode is Apple’s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.
Quantopian - Your algorithmic investing platform
IntelliJ IDEA - Capable and Ergonomic IDE for JVM
Backtrader - Backtrader is a complete and advanced python framework that is used for backtesting and trading.
VS Code - Build and debug modern web and cloud applications, by Microsoft
quantra - A public API for quantitative finance made with Quantlib