$50,000 Algorithmic Trading Account Update: 65 Days Performance Update

Inside the $50,000 Algorithmic Trading Account: 65 Days Overview

It’s been 65 days since I’ve utilized algorithmic trading in my portfolio. If you haven’t been documenting this journey to get you up to speed, I put $50,000 in a software that executes trades for me. Since then, I’ve been tracking its performance, and in this video, I want to go over the month of December in 2023 to tell you guys exactly how we did. Then, overall, the 65 days of trading. I want to give you the whole overview of the performance since we’ve put $50,000 in there. Without further ado, let’s get straight to it. Forex god. Welcome if you’re new to the channel. My name is Matt Jimenez, and I am an entrepreneur who has worked with the greatest minds in finance over the last several years. I’m here to pour into you guys everything that they’ve poured into me.

Transitioning from Manual Trading to Automated Algorithmic Software

Now, if you’re watching this, you probably are managing your own algorithmic trading software, or you’re looking to do so. And mind you, I’m only going to be speaking from my experience. Prior to ever getting involved with any software, I was manually trading, and needless to say, I had too much pride to ever allow a software to trade for me. For some reason, I had this persona of, like, “no, I have to do it myself. I have to be the trader.” But since I’ve been hands-off, I have to say my skepticism is dying week by week as I see how well this software has been performing. Forex god. But more importantly, seeing how much more efficient it is than manually trading.

Performance Summary: Gain, Drawdown, and Equity Curve Review

Now, before I start rambling on, let’s get straight to the numbers. So we are here on myfxbook. If you’re curious about tracking this myfxbook with me, I will go ahead and leave the link to this in the comments below so that way you could always find it if you’re just bored and want to check up on the progress.

Now let’s go over the 65-day overview. Within 65 days, we have seen a gain of 8.5%. Now, mind you, we are not trading on weekends, obviously. And if you’ve been watching this journey with me, you know that we had a couple of hiccups in November where we didn’t have any trades due to changing passwords and auto trading being turned off. So the 65 days is just the grand total of everything, but realistically, a few of those days have been missed, probably a week in accumulation of days that were missed trading, not including weekends. So at 8.5%, we are sitting at $4,287.61 in profit.

As you can see over here, we have our equity curve, and it’s been quite consistent. Nonetheless, if we go to drawdowns, the max drawdown we’ve seen was back here in December, which was December 6th, and we saw a 1.1% drawdown. Mind you, even though we show drawdowns, no month has ever closed out in a drawdown this far for myself. And in fact, a lot of people in the community that I’ve spoken with have not seen a month that was in a drawdown. Forex god. So these drawdowns are unrealized because they never really reflect in the account overall. It’s just with many positions open at all times, obviously, the margin in the account can seem lower. But as we close out the month and close out the weeks and even the days, we never end it on a negative note.

Trade Volume, Win Rate, and Myfxbook Performance Insights

Okay, so let’s scroll down a bit and see some of the other stats we have going on. Within the 65 days, we’ve seen a total of 1,035 trades, which is absolutely insane. Considering the fact if you are a manual trader, there’s no shot anyone that you know or yourself can actually manually put in 1,035 trades in 65 days. This just goes to show the power of using software and where we’re headed and how sophisticated this code could really be. Because honestly, that is unrealistic when it comes to human labor. There is no shot. Profitability, let’s check this out. So, profitability is 82%. That is crazy. Forex god. We have won a total of 853 trades out of the 1,135 trades that were taken. We’ve only lost 18%. 18% out of over 1,000 trades, that is crazy.

Over here to the right, you can see the amount of long positions and short positions. As you can see, 85% of the shorts taken were profitable, and out of the 608 trades that were long, 80% of them were profitable. Over here when we move over…

Watch the Full $50,000 Trading Account Update Video

Please visit $50,000 Trading Account Update | 65 Day Progress to watch the full video!

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Jeff Sekinger
Jeff Sekinger | Wealth Strategies

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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.

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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.