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1. SELECTED DATA DOES NOT FIT INTO SELECTED FLASH SECTORS HOW TO
2. SELECTED DATA DOES NOT FIT INTO SELECTED FLASH SECTORS SERIES

Mahmoud: Yeah, we're starting to see a lot of individuals, a lot of companies going more into algo trading and going more into systematic trading. You know, options or equities or futures manually, you know, you can employ a specific strategy and automate it. That's why we got into this, because we really think that this is the next evolution of how people will trade going from, you know, just buying. So we just started building it ourselves and then we were like, hey man, maybe we could turn this into into a company and see if people wanted it and we got a crazy good response in terms of what we were building and people were coming up to us and saying, "Hey, you guys are doing something that we've been looking for for a long time." There's a lot of systems out there but we were looking for something slightly more extensible from the ability to identify trades and make opportunities on these trades. You know, to start identifying these opportunities because we couldn't find really a product on the market that fit our need. And that was like really cool because when you build something and it starts working, it was like, oh my goodness, this is what we've always wanted. How do we build an automated system that can identify what the best opportunities to trade are? We built our MVP for ourselves and it worked. We're talking about our trades, we're talking about how we're trading and what we're trading, and we're circling this idea around automation for algorithmic trading. And there's so many components required to this, that building something meaningful quickly is just not really feasible, and so as I'm going through this process, my co-founder and I, Michael, we're kind of talking around one another. So finally, I was saying, why don't I automate my trades and got into algorithmic trading.īut what I realized in terms of algorithmic trading is that it's really, really hard. What I kind of realized is as I'm observing people trade, and as I'm studying these things, people are just implementing systems based on data, and repeating those systems over and over again.Īnd one of the really interesting things is these principles by Ray Dalio, from Bridgewater, who just basically said he tried to automate and build a system around all the trades that he made.

SELECTED DATA DOES NOT FIT INTO SELECTED FLASH SECTORS HOW TO

And, you know, you join these chat rooms and you start reading as much as you can and you start, understanding how to trade. And a number of years ago, when Robinhood first came out, Robinhood was sort of this advent of democratization of finance and getting people into the markets.Īnd I got really really deep into trading. I've been working in AI machine learning automation for the past 10 years or so.

How did you come up with Breaking Equity? What's your background as a founder?ĭevin: Yeah, that's a great question, mostly because I don't have a typical finance capital markets background. Mahmoud: So let's start at the beginning. Thanks so much for having me super excited to be here and really like, everything, you're doing at alpaca. And, you know, we're talking about builders that are building new and innovative apps on top of our APIs.

SELECTED DATA DOES NOT FIT INTO SELECTED FLASH SECTORS SERIES

We're starting up a new series highlighting our top builders on top of Connect API. Mahmoud: Thank you so much for joining this podcast, Fintech Underground. You can also find us on Twitter or join our discord community also with the invite link Hi, Devin. You can learn more by visiting our website at alpaca.markets. Alpaca is a developer-first startup focused on building open APIs for stock and crypto trading, investing, and embedding.