How I Replaced My Income With Algorithmic Trading

https://www.youtube.com/watch?v=RB8NWS4byhQ

Matt: Welcome back to the channel, guys! I have an amazing guest here who’s been part of our community for how long now?

Josie: Since October of last year.

Matt: Okay, so she’s been part of the community since October. And I reached out to her specifically because when I did an interview on a boat with one of the top sales guys from Nurp, they mentioned you. And they said that you did a YouTube video which no one asked you to do. So, we are beyond grateful that you even did that and felt compelled to do so. And when he showed me, I said, “Oh my God, I have to talk to her.” So, I reached out and now she’s on the show and we get to talk to her one-on-one to get to hear her full story on our channel. So, if you haven’t seen the video, I’ll attach it to the descriptions down below and you guys could watch it there. But without further ado, welcome to the channel, Josie.

Josie: Thank you, I’m excited to be here.

Matt: So, tell me, you’ve been part of Nurp since October 2023 or 2022?

Josie: 2023.

Matt: And how did you find out about us?

Josie: I just saw a YouTube ad and clicked on it, and it piqued my interest. Initially, when I saw that the price was pretty high, I was like, “Forget about it. I don’t really want to spend that much money on software.” But after the first call with our rep, Omar, I was pretty convinced. I just thought it seemed too good to be true, so it took me a while to do some research. But everything I found was great.

Matt: Wow, that’s amazing. Now, when you first hit the ad, do you remember who was on the ad by any chance? Do you remember the ad creative at all?

Josie: I remember which one it was, but I thought, “Well, that sounds interesting. I want to check it out more.”

Matt: Yeah, I asked that because a lot of people that come in, they’re always very skeptical and they’re always on the defense thinking that it’s some type of scam. You guys are just posting ads trying to get people to scam. And that’s why I asked because I’m very curious as to which one is actually grabbing the people’s attention to come and follow through with making a commitment like this. What was your biggest objection? Your biggest objection was price. Now, what made you ditch the objection and commit?

Josie: So, I thought about the amount of money that we were going to be trading, was significant. So, I thought if I’m going to buy some software that we’re going to be trading hundreds of thousands of dollars with, I don’t want to try to save a couple of thousand dollars and get something cheaper that might not work anywhere near as good. So, I thought if I’m going to be trading that amount of money, it should be the best software out there. And I definitely felt like this was the best I could find from anything. Yeah, definitely.

Matt: Were you skeptical coming in?

Josie: I was, and that’s the reason why I posted the YouTube video. And I also wrote my review on Trustpilot, and I put my phone number on there because before I had bought the software, I wished that I could talk to somebody who was using it that wasn’t affiliated with Nurp, who could just tell me their genuine experience, not related to selling the company. So, I thought it’s the best thing out there that I found for investing. So, if I can help some other people to find something this great, then I feel good about it because it’s been life-changing for me, and I like to be able to help some other people too.

Matt: Speaking of life-changing, I’m curious as to what has your performance been since October?

Josie: Well, we started with around $250,000 in October, and then we keep adding more money. And so, altogether, we’ve made over $500,000 in profit. But total balance on there is about $1.7 million right now between we have seven different bots running.

Matt: Wow.

Josie: We have one FED, one Gold Digger and then two Yellen Gold Digger Combos, and then one just FED.

Matt: Wow, so you’re taking full advantage of using all the algorithms. And I’m assuming, do you critique them by any means? Like, do you adjust settings to maximize any outcomes or yeah, yeah, we do.

Josie: So, my husband does most of that. He’s really involved with it. He loves it. So, we’re running it a little bit higher. I think our FED is at two times the recommended settings, but we’ve taken off some of the riskier pairs, the more volatile pairs. And then, we have the Yellen at about one and a half times recommended, I think, and it really does well with the Gold Digger on there. I would say it almost doubles our profits the month.

Matt: Oh, wow. That might be something other people need to discover as well. And you might have just dropped a little gem for people to find out for themselves. But, everything we say here is not financial advice. This is just what we are doing. We’re not recommending anything. But, yeah, I’m also curious as to since October, how has it been every single month, month over month? Have you seen a gain, or have you had any stagnation or loss?

Josie: No, it’s definitely been highly profitable every month. So, some months are better than others. We made a lot more in December than we did in February. But I think we still made like 7 or 8 percent in February.

Matt: Wow, it was still pretty good. And this month, we’ve already made more than that. So, it’s going to be a great month. So, as of filming this right now, for everyone to know, it is March 13th, and you just…
Please visit How I Replaced My Income With Algorithmic Trading to watch the full interview!

author avatar
Matthew Jimenez
Matthew Jimenez | Algorithmic Trading Content by Nurp

Search Posts

Algorithmic Trading Accelerator

Schedule a meeting with us!

Matthew Jimenez

Matthew Jimenez | Algorithmic Trading Content by Nurp

Latest Posts

The programming languages most widely used for automated and algo trading are Python, C++, Java, C#, and increasingly Rust, with

The three most widely deployed forex automated trading strategies are trend-following systems on major currency pairs, mean-reversion systems on range-bound

The five best algo trading books to read are “Advances in Financial Machine Learning” by Marcos Lopez de Prado, “Algorithmic

Professional headshot of an Asian man in a black suit, white shirt, and light blue tie against a white background.

AI Quantitative
Researcher

Bingham Zhou

Bingham Zhou, CFA, has over 15 years of experience as a quantitative researcher. His expertise spans systematic equity strategies, CTA trend-following, and interest rate proprietary trading in both U.S. and Asian markets. He holds advanced degrees from MIT, Carnegie Mellon, and Yale.

Portrait of a man with shoulder-length light brown hair and stubble, wearing a white shirt and black blazer against a gray background.
Quant–Investment Strategist
Greg doscher

Greg Doscher was a CFO for many years who built out many quantitative strategies and investment tools to manage and enhance risk adjusted returns in the company’s pension plan. Prior to joining Nurp, he consolidated his skills in coding and discretionary trading to develop a comprehensive and fully automated algorithmic trading system deployed across 200+ futures markets and cryptocurrencies that encompassed all of the trading strategies he had honed over the last 22 years in finance

Quant–Investment Strategist
Marcin Borratynski

Marcin was Head of Quant IT at the USD 4bn+ CERN Pension Fund, where he spent nearly a decade building quantitative asset allocation systems and implementing algorithmic investment strategies for a multi-asset institutional portfolio.Before joining Nurp Marcin was also Senior Quant Strategist at Evooq, a Swiss-based fund managing four strategies across equities, gold, and equity derivatives.Marcin holds a degree in Computer Science an MBA from the University of Geneva and the Certificate in Quantitative Finance (CQF).

Product Manager

Abhayjit Anand

Abhay has worked with Nurp since 2022. As a Product Strategist, he focuses on building, refining, and commercializing algorithmic trading strategies. He brings seven years of experience in financial trading – combining macro research, technical analysis, quantitative strategy development, and market psychology. Alongside his work at Nurp, Abhay also serves as an Investment Analyst at Orca Capital. Before entering financial markets professionally, he spent eight years at IBM, including three years in the AI & data division as a Delivery Lead managing complex implementation projects.