u/Left_Ad_1526 ·
Reddit — r/algotrading
· July 20, 2026 at 18:01
· ⬆ 15 pts
· 💬 25 comments
| View on Reddit ↗
AI Summary
Summary
The post discusses the author's personal workflow for researching and developing algorithmic trading strategies, from idea generation to paper research to coding and backtesting.
The author seeks feedback on improving their process and asks for methods to mass-test strategies, but does not present any specific market thesis or trade idea.
Quality assessment: This is a general discussion thread about methodology, not a researched analysis or actionable DD. It falls under noise in terms of investment insight.
Score15
Comments25
Upvote %94%
▶ Full Post Text
For the past year and a half I’ve been always following the same process:
1) having an idea
2) researching for papers developing the core idea and testing it
3) coding it simply in Multicharts (to see if the equity curve could be interesting)
4) testing it deeply and developing a strategy in QuantConnect
I found out that this process is effective for me but it could become better.
What is your workflow on testing, developing and implementing?
Also I’m trying to found a method to mass test strategies so if any of you know let me know