
pikaur
Yay
paru
Trizen
Pakku
pacaur
aurutils
Aura Soundscape Player
QuantConnect
Quantopian
Backtrader
QuantRocket
CloudQuant
TradingView
Intrinio
MetaTrader5
pikaur
QuantConnectBased on our record, QuantConnect should be more popular than pikaur. 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.
Have a look here. Did you not search for the answer? That's part of the Arch(based) ethos. We tend to like to learn by reading whatever is required. :). Source: about 3 years ago
I was also looking for something nicer for Arch, but haven't found anything as nice as Nala. For now, I switched to pikaur, which at least displays updates in a much clearer way. Source: almost 4 years ago
Nice, but this definately needs a dependency resolver, otherwise it can only install a fraction of the available AUR packages. Since you're already using python, you may adapt your whole code on top a another python-based AUR helper like pikaur. You maybe also could take at the dep resolver of my ABS project. It's python, too, maybe not as clean as pikaur's code but simpler and not too integrated. Source: over 4 years ago
I've been using pikaur ever since pacaur became abandonware and I'm very happy with it, can't recommend it enough. Sure, it's not implemented in Rust or Go so it's certainly not as cool as yay or paru but that doesn't really matter much to me, being an end user. I don't really care as long as it does its job, as advertised. Source: over 5 years ago
I use https://quantconnect.com/ to backtest new algos and discover new algos. They support C# and python. Source: over 3 years ago
Use quantconnect.com, their API forces you to use OOP there so it's a good practice. Source: almost 4 years ago
For stocks and crypto: QuantConnect and Backtrader For options: MesoSim and OptionNetExplorer. Source: almost 4 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: about 4 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: almost 5 years ago
Yay - Yay is an AUR helper written in go, based on the design of yaourt, apacman and pacaur.
Quantopian - Your algorithmic investing platform
paru - An AUR helper written in Rust and based on the design of yay. It aims to be your standard pacman wrapping AUR helper with minimal interaction.
Backtrader - Backtrader is a complete and advanced python framework that is used for backtesting and trading.
Trizen - Trizen AUR Package Manager: A lightweight wrapper for AUR.
QuantRocket - QuantRocket is an all-in-one end-to-end data trading platform and is securing your connection to other trading applications that will be the key to query data and submit orders.