📊 About Last Week’s Gold Move

Last week, Aurum Alpha V generated more than 30% profit on the Gold rally using Strategies #4 and #5.

Unfortunately, those trades did not appear in the public signal.

I only became aware of them after users contacted me and while running internal tests before publishing the latest update.

After investigation, the reason was technical:

⚠️ I had several hours of VPS connectivity issues.

During that time, the terminal lost connection to the broker’s server — exactly when the breakout and the entry impulse occurred.

As a result, the trades were executed in tests and by some users, but were missed in my signal account due to the temporary disconnection.

Unfortunate timing — but a good reminder that infrastructure stability matters just as much as strategy logic.

The system worked.
The connection didn’t.

🔄 Version 1.5 – Prop Firm Module Update

Friends,

In version 1.5, the Prop Firm module has been significantly improved.

A new Entry Delay feature has been added — allowing randomized trade execution timing. This helps diversify execution behavior while keeping the internal mathematical logic of the system unchanged.

By default, the Entry Delay range is set to 0–15 seconds.

However, for maximum execution differentiation in prop environments, it is recommended to increase the range — up to several minutes, depending on your trading style and prop firm requirements.

Friends 👋

I’ve uploaded version 1.6 of Aurum Alpha V, which fixes a minor issue related to the momentum calculation in certain cases.

The issue appeared after the integration of Strategy #8. Due to a variable mismatch, Strategies #4, #5 and #6 were loading the momentum calculation timeframe from Strategy #8. The differences in historical testing were relatively small (around 1–2%), but as a result the system opened a long trade yesterday under Strategy #4, while in reality the signal conditions were only partially met.

I apologize for this issue. 🙏
It was purely a mechanical coding oversight. Aurum’s codebase has become quite extensive, and it’s easy to miss a single variable when integrating new modules, especially when the testing differences initially appear insignificant.

The important thing is that the issue was identified quickly and fixed promptly. 🔧

Below you can see the backtest results of all 8 strategies combined (fixed lot 0.01) — and they look very impressive. 📊
I will share more details and observations about the system’s behavior in future updates.

Thank you for your understanding and support! 🚀

📊 Aurum Alpha V — Prop Firm Testing

Sharing results from one of the popular Prop Firm accounts running Aurum Alpha V.

About 2 weeks of trading with a conservative risk setup (0.01 lot per $3000).
Slow, but steady progress. Hopefully the challenge will be passed.

If the challenge is completed successfully, I plan to reduce the risk further to 0.01 lot per $5000 balance — slower growth, but more stable and safer in the long run.

Currently I’m testing the EA across three different Prop Firms to evaluate its behavior under various trading conditions.

Strategy #2 has been disabled, as it is a scalping strategy and may not always be prop-firm friendly.

More updates soon. 🚀

Friends,

Recently I decided to analyze the long-term robustness of Aurum Alpha V. In a way, this was similar to a Monte Carlo–style stress test, but instead of randomizing trades, I focused on how the system behaves across different market phases over many years. 📊📈

Overall, I was quite satisfied with the results. 🙂

If you look closely at many EAs on the Market, you’ll notice a common pattern.
Most of them show profits only during the last few years, when Gold has been in a strong bullish trend. 🚀

But if you extend the backtest further into history, you often see that the system blows up earlier. 📉

This is usually a clear sign of overfitting — the strategy is optimized for the tester results rather than designed to survive real market conditions. ⚠️

With Aurum Alpha V, the story is different.

From the very beginning, my goal has been to build a system that works not only “right now”, but remains stable across many years and different market environments. 🧠📊

After analyzing the historical performance, I identified several major phases in the system’s behavior:

1️⃣ 01.01.2010 – 31.12.2014
A phase of stable growth. There were periods of stagnation, but no major drawdowns. 📈

2️⃣ 2015 – mid-2016
A drawdown period. 📉

3️⃣ 2017 – present
Recovery, periods of stagnation, and subsequent growth. 📊➡️📈

I don’t want to go into excessive detail for every stage.

For example, from September 2022 to the end of 2023, the system (which now consists of 8 strategies) was mostly in a stagnation phase, which is perfectly normal for a multi-strategy portfolio system. 🧩

However, the most illustrative period is 2015–2017.

On higher timeframes, the Gold market was trading in a wide sideways range. From a market structure perspective, this was a classic Wyckoff accumulation phase — a concept I personally like a lot. 📦📈

A similar environment appeared again from the second half of 2022 until early 2024.

In such market conditions:

• strong trends are rare 📉
• market noise dominates 🔊
• price moves mostly sideways ↔️

But the key point is that Aurum Alpha V earns its profits primarily from trends. 🚀

So instead of trying to optimize the system for these “bad” conditions (which is what many developers do — essentially curve-fitting the past), I decided to approach the problem on a macro level. 🌍

Currently I already have an idea and early drafts of a new filter module that will detect periods of:

• low volatility 📉
• wide market ranges ↔️
• liquidity accumulation phases 📦

and temporarily disable trading during these conditions. 🛑

The goal is simple: make Aurum Alpha V even more stable in the long run. 🛡️📊

Right now we are still relatively far from such a market phase, but history shows that these environments eventually return. ⏳

And when they do, it’s better to be fully prepared. ⚔️

Keep building 🚀📈

🚀 Update Released — Strategy #9 and New Risk Controls

Hello everyone 👋

A new update for Aurum Alpha V is now available.

🔹 Strategy #9 Added

The system now includes Strategy #9, a Momentum Price Action model designed to capture continuation moves after strong market impulses.

Unlike the classical momentum approach where trades are opened immediately after an impulse, this strategy places a virtual stop order after the impulse formation.
The trade is triggered only if price continues in the impulse direction, helping to filter out liquidity sweeps and fake impulses before entering the market.

This approach allows the system to confirm real trend development before opening a position.

🔹 New Global Range Filter

A new Global Range Filter has been introduced to improve system stability during sideways markets.

The filter detects range and choppy market conditions and can temporarily disable trading when the market lacks clear direction.
This helps the system avoid low-quality trading environments and reduces the risk of long stagnation periods.

The filter can be applied:

• globally to the entire EA
• individually to specific strategies

By default, Global Range Filter is disabled.

🔹 Maximum Stop Loss Protection

A maximum Stop Loss limit has been implemented for several strategies (Strategies 3, 4, 5, 6, 7 and 8).

Since the system uses Bollinger Bands for SL calculation, the stop distance has increased significantly due to the growing volatility and price of Gold.
In some scenarios, the SL could expand up to 150 points.

To keep risk controlled, the maximum Stop Loss is now capped at 50 points.

More improvements are already in development.

Thank you for your continued support!

— Aurum Alpha V | The Golden Edge

📢 Aurum Alpha V — Development Update

I’ve recently completed a significant amount of work on Aurum Alpha V.
Today I published Strategy #9, added a global range filter, and implemented several smaller improvements.

As for new strategies, I haven’t made a final decision yet. For now, I want to focus on observing how the system performs in real trading.

The EA has grown considerably — the codebase now exceeds 7,200 lines. Each new strategy adds hundreds or even thousands of additional lines. On one hand, it becomes harder to navigate inside the system itself; on the other, excessive complexity can negatively affect performance and resource usage, potentially increasing the gap between strategy tester results and real trading.

I want to avoid that.

It’s possible that if a strong idea for Strategy #10 appears — and only if it’s truly different — it could become the final addition. Another option is that future ideas may replace existing strategies rather than simply expanding the system.

Time will tell. 🚀

📊 A Few Words About the Aurum Alpha V Signal

To be honest, the Aurum Alpha V signal is not very representative at the moment, and I even considered restarting it. Let me explain why.

1️⃣ It was started with a very small account size, back when the EA was still in the beta stage.

2️⃣ Due to VPS issues, I missed a strong gold trend a couple of weeks ago, when many users captured around 35% profit (I mentioned this earlier). Some people even asked why there were no profitable trades on the signal — usually the opposite question is asked 🙂

3️⃣ I also caught an unfortunate stop loss caused by a bug in version 1.5, which was fixed immediately. Most users didn’t even have that trade, so again it doesn’t really reflect the actual behavior of the system.

Hopefully from now on there will be no more technical interruptions, and the signal will start showing a more accurate picture of the system’s performance. 🚀

For comparison, here are the results from another account over the last ~1.5 weeks.

As you can see, the trading activity here looks much closer to how the system is actually supposed to perform.

This is exactly why I mentioned earlier that the current public signal is not yet fully representative — technical issues and a few unlucky events distorted the picture a bit.

Hopefully from now on the signal will start reflecting the real behavior of the system more accurately. 📊

🎉 Challenge Passed!

The first Prop Firm challenge has been successfully completed!
It took Aurum Alpha V about 2 weeks to reach the target. 📈

Now I’m waiting for the funded account confirmation to begin trading on the funded stage.

The journey continues 🚀

🚀 Aurum Alpha V — Development Update

As I mentioned earlier, for now I’m focusing not on adding new strategies, but on improving performance and stability of the system.

Currently testing a new update with the following improvements:

⚡ 20–30% performance increase
This is a critical aspect for a complex system like Aurum Alpha V, which now exceeds 7,200 lines of code. Each strategy is essentially a separate EA inside the framework. Improved efficiency means lower CPU and memory usage, reducing the risk of discrepancies between tester results and real trading.

🎲 Experimental Feature: Random MagicNumber
The system now tracks its trades by symbol instead of MagicNumber. This allows the use of random MagicNumbers, adding another layer of order randomization, particularly useful for the Prop Firm module.

Testing continues. More updates soon.

I´m here now. Your EA is now being tested.

Hi, thanks for your feedback 👍

I’d like to add some important context here.

Aurum Alpha V is not a single-strategy system — it uses a combination of multiple strategies designed to hedge and complement each other. Some strategies may underperform in certain conditions, while others compensate and generate the main profit.

In your case, most of the trades came from Scalping Strategy #2, which indeed had a weak period. However, this is only a small part of the system.

📊 Here are my results for the same period:



The key difference is that my account also captured the trade from Strategy #1, which was triggered for all users who had the EA running earlier. That trade alone contributed a significant portion of the overall profit.

This highlights an important point:

➡️ Short-term results (like 5–7 trading days) can be very misleading for a multi-strategy, trend-based system.
➡️ Missing just one major trade can completely change the picture.

The system is designed for long-term performance, where strategies work together and balance each other over time.

Strategy 2 is bad. A very bad win rate and a very bad risk reward rate. Most trades are losses and the few winning trades are so small that you need 5 "ST_2" winning trades just to cover 1 losing trade.

At the moment an open position of "ST_9" is in a big drawdown. Hopefully it will not lose too. The first week of testing was bad for this EA.

Hi, I took a closer look at your trades and would like to clarify a few things.

Strategy #2 has indeed underperformed in recent days — this is a scalping strategy and the only one of its kind in the system, which is clearly stated in the product description.

However, what I noticed is more important:

On your first account, the lot size is not consistent — I see 0.02, then 0.03, 0.04, and even 0.01. The system itself does not use dynamic lot sizing, which means you manually adjusted the risk.

If we normalize everything to the intended fixed lot of 0.02 (as the system is designed), your result on the first account would actually be around +$26.04.

On your second account, where the lot is consistent, the result is about +$21.53.

Also, based on your screenshots, your trading started around March 19. That means you missed a major move captured by the system earlier — the drop from around 5100 to 4550 (in some cases even to 4350). That single move alone resulted in approximately $550 on 0.01 lot, or about $1100 on your standard 0.02 lot.

So in reality:

➡️ Both of your accounts are in profit since you started using the system
➡️ Not in loss, as initially stated

This is exactly how Aurum Alpha V is designed to work — independent strategies that hedge and complement each other over time.

Even in a short period, and despite weaker performance from Strategy #2, your overall result across the system is positive (except for the account where risk was manually altered).

I didn´t change the lot size. The EA has a money management feature when I see it right in the settings. The only thing I changed at the beginning was "daily drawdown in percent" to 1.

Normally I hear from Sellers of bad EAs "the lot size was too big.", "the broker is bad" or "your VPS is too slow you need a faster connection" and so on.

Now you are telling me that my accounts would be in plus because you are changing the lot sizes in your fantasy all to 0.02 in order to be a few USD in plus. It´s not working like that.

Please tell me, why aren´t you refreshing the Live Signal? Last time was 2026.03.20 02:16 and there were many losing trades since the last time.

Another point, why your losses are so low in the Live Signal with a lot size of 0.10?

E.g. your trade 0.10 Lots only -1.50 USD loss

The same trade in 2 of my brokers one with 0.01 Lots -15.31 USD loss and the other one with 0.03 Lots - 45.09 USD.

Why you are using a Cent (Micro Account) for your Live Signal? Not trusting in your own EA?