Hi guys, so I'm into the quant research.
So in the past year I honestly starting to feel that generating strategies/alpha ideas has become much easier once using AI. This means that the bottleneck now isn’t writing the code, but running it at scale.
I’m trying to run large batches of backtests and Monte Carlo sims, and it is slowing everything down way more than research itself.
Curious how others are dealing with this.
Hi guys, so I'm into the quant research.
So in the past year I honestly starting to feel that generating strategies/alpha ideas has become much easier once using AI. This means that the bottleneck now isn’t writing the code, but running it at scale.
I’m trying to run large batches of backtests and Monte Carlo sims, and it is slowing everything down way more than research itself.
Curious how others are dealing with this.
Hi guys, so I'm into the quant research.
So in the past year I honestly starting to feel that generating strategies/alpha ideas has become much easier once using AI. This means that the bottleneck now isn’t writing the code, but running it at scale.
I’m trying to run large batches of backtests and Monte Carlo sims, and it is slowing everything down way more than research itself.
Curious how others are dealing with this.
This concept has been rattling around my head for quite some time. Having trialled dozens of outbound tools, I found they all lacked the "big picture." When it comes to LinkedIn (the primary focus here), the disconnect between inbound and outbound activity is particularly frustrating. In my view, the two are inseparable. If I’m targeting a specific account, I need to know the moment they engage with my content.
I eventually managed to tap into the LinkedIn API via Unipile. For $50, you can connect up to ten accounts simultaneously. To put that in perspective, tools like Dripify can cost around $80 per month for just a single user.
After a few weeks of "tinkering" with n8n, I developed a workflow that allows me to build prospect lists and monitor every LinkedIn interaction with ease.
From there, I embarked on a fascinating journey with Claude. Armed with zero coding knowledge but a healthy dose of ambition, I’ve built a fully functional system that handles:
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I’ll be the first to admit the code isnt perfect. However, it works and helps me and my clients to save time and capital. For me, that’s what counts.
I’ve decided to open-source the code. Anyone can download it, and I’ve included an onboarding wizard to walk you through the installation and API connections.
I have a long list of future features in mind and I'm sure that you too. I hope to build a community of tech-savvy marketers to refine and evolve this system. Let’s build something that provides genuine value for everyone.
The link - https://github.com/cmovate/el-via-abm
