[Algo] Reflections for Q1 2025

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Right after I posted my last blog entry on February 24, 2025, our algorithm hit its first losing week, dropping by 10%. Naturally, this stirred some unease—those unsettled nerves you feel when something you’ve built doesn’t perform as expected. It left me wondering: Is there a flaw in our algorithm?

The following Monday, March 3, 2025, didn’t help ease my doubts. We faced some intra-day drawdowns—those dips that make your stomach tighten. It quickly spiraled into what I’d call a psychological twist. I found myself at a crossroads: Should I keep going, or pull the plug?

Out of caution, I decided to pause the algorithm for the day. Later, the results rolled in, and it turns out I would’ve hit my daily profit target if I’d just let it run. I felt cheated—not by the market, but by my own unwarranted fear.

The week of March 3 wasn’t a total wash, though. We had one losing day, but overall, it balanced out. For our social copiers, it could’ve meant a solid +18% gain.

Unfortunately, my unnecessary pauses during the week led to a -6% drawdown for them instead. That stung, and I take full responsibility.

Over the weekend, I took a step back and dug into the data. I analyzed the toughest market conditions—daily and weekly—and reviewed how our backtests held up. What I found was reassuring: even in rough patches, like that -10% dip the week of February 24, 2025, the algorithm consistently recovered in the weeks that followed. That kind of drawdown? It’s not an anomaly—it’s part of the ride. I should expect it now and then. It is not a problem.

Here’s the thing: when I was just trading my own money, daily ups and downs didn’t faze me.

This resulted in a >100% return within few weeks of February 2024.

I know this algorithm’s strengths inside and out. But once we opened it up for others to copy, a new pressure crept in—keeping everyone happy. I started fixating on the daily copier count, watching it tick up or down, and that fed an unhealthy urge to prove profits every single day. It’s a trap I fell into, and it stopped the algorithm from doing what it’s designed to do: perform over the long haul.

I’m sharing this because trust and transparency are important. We’re not chasing perfection every day; we’re building something that wins over time. As an operator, I’ve learned my lesson, and I’m committed to letting the algorithm run its course, even when my nerves get the better of me.

I do not plan to make the same mistake over again. That said, I want to be upfront with our social copiers: expect heightened volatility ahead—it’s part of the journey.

If this stretches beyond your comfort zone, I completely understand, and it might be best to step away from following. Your peace of mind matters most.

Our equity curve (as of 11 March 2025)

[Algo] Are our Returns “Too Good to be True”?

As kids, we learned that banks offer a modest 2-3% interest rate annually. But as young adults, we discovered that carefully chosen stocks can deliver impressive returns of 20-30% per year.

Weren’t we hesitant about stocks at first? Naturally, but with knowledge—and as the saying goes, “seeing is believing”—we came to realize that returns exceeding 100% are possible. Just look at stocks like Upstart, Tesla, or Sea during the 2020 bull run. Similarly, with the right approach, it’s not hard to achieve an 8x risk-reward ratio across three market sessions (Tokyo, London, and New York). I won’t belabour on this too long—our funded accounts, backed by detailed statements, show what’s achievable with an algorithm.

Last week tested our algo a bit. We hit some temporary intra-day drawdowns, but out of five trading days, we stayed profitable from Monday through Thursday and broke even on Friday.

As I write this, I’m sitting in a Starbucks, probably looking like I haven’t slept in days. Our team spent the weekend refining our code, drawing on past forex market lessons to tweak the algo further. Thankfully, we rolled out the updates before today’s market open.

I’ll post some account updates below and then head back to my hotel for some well-earned rest.

Calculation for P/L = closed trade P/L over Deposit/Withdrawal


Account #1 (+40%) | Started on 10 February 2025

Account #1 (+23.6%) | Started on 10 February 2025

Account #3 (+164%) | Started on December 2025


Our trades are open for you to copy in exchange for a fee of 30%.

Curious and interested? Visit our onboarding guide below:

https://blufx.net/onboarding/
https://blufx.net/onboarding/
https://blufx.net/onboarding/

TAKE NOTE: IT IS NORMAL TO HAVE A DRAWDOWN OF 15-30% OCCASIONALLY.

Confluence of Pullback Failure + B&R

A manual trade break down on 26 Nov 24

Price action analysis

The price dipped below the $2,687 support level but couldn’t sustain the downward momentum. It repeatedly attempted to break lower, forming long wicks on the candles, indicating strong buying pressure. This “pullback failure” signaled a potential bullish reversal.

We identified $2,692 as a potential stop-loss level, based on the previous high point of the wick.

The target profit was set at $2,661, where the price had previously faced resistance.

This trade ended with a favorable risk-reward ratio of 4.2:1.


This is not our usual post as most of our trades are algo generated.

“Support and Resistance” for 1 RR

I recently capitalized on a significant price dip in the Asian market. The price briefly breached the strong support level of $2,663.2 but quickly rebounded, signaling a potential bullish reversal.

To manage risk, I strategically placed my stop-loss order below the 200-EMA. To make it safer, SL can be placed further below 200-EMA. This risk management technique has consistently proven its effectiveness in various market conditions.

Chart Mapping

Profit Statement

Just FYI, I’ve blocked out entries entered by my algo.

Hindsight Bias

Although I could have potentially extended my position to capture a larger profit, I opted to secure my gains early. This disciplined approach is crucial in trading, especially when market conditions are volatile. The price eventually moved beyond 3 RR.

These days, I tend to take fewer manual trades as I’m letting my algo do the heavy lifting as it should. My partner and I are making steady progress.