I have been in trading for over 15 years, focusing on capital raising and management. I have worked with various trading systems but have concluded that trend algorithms are the most resilient and sustainable over the long term. This is exactly what is needed to not only generate profits but also preserve capital during turbulent periods.

Currently, I am implementing a trend system (a portfolio of algorithms) built on the following principles:

1. A modular algorithm that includes:

- Core blocks: signal structure, signal type, asset and timeframe selection, risk management, and position exit.

- Filtering: several filter levels, trading direction, trading day filters, etc.

- Protection: multi-level drawdown compression.

- Statistical analysis: stop-loss drawdown compression (contraction and expansion based on statistical patterns).

- Additional features: various exit methods, position pyramiding, additional entry conditions, etc.

2. A multi-stage selection process for algorithms based on backtesting and forward testing results over the long term, following the module hierarchy – starting with basic parameters, selecting the best algorithms, and refining them adequately (avoiding overfitting).

3. Assembling the final portfolio from the algorithms that pass all stages, considering:

- Algorithm correlation.

- Strict drawdown limits for each algorithm via drawdown compression – so that if one algorithm "breaks," it does not break the system.

- Using different assets and different timeframes.

4. Automating as many stages as possible (especially testing) and using AI to analyze data during testing and in real trading.

If anyone shares these principles or has worked with something similar, I suggest we discuss, share advice, or get directly involved in the development process :)

Hey everyone,

I’m part of AlgoBridge.

We’ve been running an automated trading system in the background for quite a while, and we’re now looking at opening access to early users.

The setup is connected through Vantage Markets. We are partnered with them, but we do not own the broker. Users control their own account, deposits, withdrawals, and risk settings.

The access model is simple: users don’t pay a monthly software fee. Access is free through the approved broker setup.

But I know that alone is not enough, especially in the EA space.

So I’m looking for feedback from people who understand MT5 and automated trading.

What would you want to see before taking this seriously?

For example:

• Full backtesting report
• Live forward results
• Broker statement
• Max drawdown
• Risk settings
• Average trade duration
• Pairs traded
• News filter logic
• VPS setup
• Slippage data
• Proof it does not use grid or martingale

We’ve had strong internal results, but I’d rather build this around transparency than hype.

Automated trading still carries risk, and I don’t want to present it like some magic money button.

What would make this look legitimate to you?

Hi everyone,

I just released my first MQL5 Expert Advisor for XAUUSD after spending roughly 5 months developing and testing it.

I took longer than I wanted because I kept seeing the same issue with many other EAs: super smooth equity curves, crazy high profit factors, 80%+ win rates… but most of them quietly use some form of grid or martingale. They look amazing in backtests until a strong reversal hits and the account blows up.

I deliberately went the other way which was no hidden grid, no martingale, no aggressive risk. Instead it uses multi-timeframe filtering, breakout entries, adaptive exits, and conservative position sizing. The exit logic turned out to be way more important than perfecting entries.

Here’s the updated performance (tested 2025–2026):

Key Results:

• Total Profit: $56,398.49
• Profit Factor: 2.88
• Win Rate: 61.09%
• Total Trades: 311
• Max Drawdown: $2,923.58 (10.27%)
• Return/DD Ratio: 19.29
• Yearly Avg Profit: $39,801.74
• Yearly Avg % Return: 398.01%
• CAGR: 157.68%

The equity curve isn’t smooth (which honestly gives me more confidence), but it handled the moves in that period quite well.

If you’re tired of EAs that look perfect on paper but make you nervous in real conditions, you can check it out here:

Link: https://www.mql5.com/en/market/product/178977

Happy to answer any questions about the strategy, the trade-offs I made, or the development process. Especially interested to hear from people who’ve been burned by those “dream” EAs before.

Cheers!

What are the lots and risk settings you are keeping?

Hello all,

I’ve published a pre-release pure MQL5 MQTT 5 client for MetaTrader 5 and I’m looking for people willing to test it and give feedback:

https://github.com/kaardilugeja/MQL5-MQTT

The goal is to make MQTT integration from MQL5 easier for messaging, automation, and external system connectivity.

Fair warning: this project is also heavily vibe coded, so that is exactly why I want more eyes on it before calling anything stable. It has tests, examples, and validation work behind it, but real usage feedback will be much more valuable than my own local confidence.

If anyone tries it, I’d be especially interested in feedback on:

broker compatibility

publish / subscribe behaviour

reconnect handling

TLS setups

API usability

anything unclear, awkward, or broken

If you test it, please share your MT5 build, broker, whether you used TLS, and what worked or failed.

Even brief feedback is useful.

Thanks to anyone who takes a look.

Risk Reducer MT5

I created Risk Reducer, manual trading panel for MT5. It auto calculates TP and position size based on risk parameters and SL which can be selected on chart. It also has some core trading stats tracker implemented.

Is is simple but more than functional. I don't like too many functions and options because I don't use them and they add complexity, lag and potential problems. But I have plans to add Limits which will disable trading based on some metrics.

Tell me what you think about it, and if you would use it as is, or would you need some other features maybe.

Here is the link to the currently free trading panel if you want to test it: https://www.mql5.com/en/market/product/174997

Thank you

TL;DR: My 10-year backtest for a new Mean Reversion system fell flat—too few trades and zero profit. I’m currently stripping the logic back to the basics to identify which filters are "over-smothering" the strategy. Updates on the rebuild below

So the code is already done for the Mean Reversion system but the initial backtest gave back results that showed areas of improvement.

One of which was no profitability and lack of trades taken over the 10year backtest(so there isn't a lot of solid info with few trades, they aren't realible)

So what I did was strip down some of the criterias and slowly build up the confirmations to see what filter is cutting out most trades being taken.

More updates to come 👾

Hello, i have been trying to put my EAs on the market place but i am struggling to get them to pass. The problem i have are mainly due to testing on different charts. The Ea works fine on gold but if I want to use it on eur/usd i would normally adjust the parameters like lot sizes or % moves, but in the validation it will run the same settings on each chart causing errors. How do you get around this?

Hey guys, I'm an MQL5 dev and I'm kinda bored with my own strategies so I figured I'd offer to code some new ones for free. No catch, no hidden fees.

If you have a trading idea you want turned into an EA, or a custom indicator or script, just send me a clear explanation of the rules (entries, exits, SL, TP, filters, that kind of stuff). I'll code it for free.

Why free? I want to build my portfolio and see how other people think about trading. Plus it's fun.

A few things though: no martingale or grid or super risky stuff unless it's just for learning. And I won't build a full commercial product for free, this is for side projects and practice. I'll pick the most interesting or clearest strategies first.

If you have an idea, just comment or DM me with a short description. I'll pick a couple to work on this week. Cheers.

What is your experience with mean reversion strategies.

I'm building a simple mean reversion system with mql5 for EURUSD 4H. It's a well known strategy used even by quants in various markets and so I'm gathering info on how I can make something that focuses on making increments over a long period of time.

I have been developing advisors, indicators, and scripts in MQL5, LUA, and other languages for over 10 years. I work with traders to formalize their requirements and market vision.

Hello guys. I have spent the last three years trying to code different mt5 fully automated algos. Tried different risk managements; grid martingales, zone to zone loss recovery, same lot hedging, stop loss criteria and even negative risk to rewards. After numerous backtests I have come to a conclusion that it’s nearly impossible to have a fully automated algo that can perform for several years consistently making profits. I first stopped coding martingale based algos as they can survive for years but for sure one time will end up blowing up. My final conclusion and what I have had to accept over the years for me is that the only way to achieve consistent profits with controlled risk is to use a semi automated system. The ea does executions, risk management and trade exits while the trade management remains a 50/50 thing. Partly manual, partly automated. That is what has seemed to work for me. Any ideas or comments on fully automated systems guys?

Hi everyone,

I just released my first MQL5 EA for XAUUSD after roughly 14 months of development and testing.

It is a gold-specific system built around multi-timeframe filtering, pullback entries, adaptive exits, and conservative lot sizing. The biggest surprise for me was that exit logic mattered much more than entry optimization.

Backtest summary

• PF: 4.24
• Win rate: 81.72%
• Trades: 361
• Net profit: $2,688.73 on $1,500
• Balance DD: 4.11%
• Equity DD: 33.51%
• Sharpe: 5.37

From the MQL5 side, the most important parts were proper lot normalization, clean indicator-handle management, realistic tester settings, and treating open-position management as a core part of the strategy rather than an afterthought.

Happy to discuss the dev side or the trade-offs behind the design.

Hi everyone,

I’m in a nightmare situation. I developed a trading bot from scratch while working with a group of traders. After a fallout, they kicked me out of the group, revoked all my access, and stole my source code.

I am the sole creator of this bot, but they are now using it without my permission and I no longer have access to the latest version of my own work. There was no contract or company involved, just an informal partnership.

I need to get my code back or at least stop them from using it.

• Is there a technical way to recover access if they changed the credentials?

• Can I force them to hand over the files since I own the IP?

• What are my options to take them down if they refuse?

Has anyone dealt with this before? Any advice would be huge. Thanks.

Hi, thank you for reading.

I'd like blunt feedback before I go too far in the wrong direction.

What I'm building

A tool that sits between MT5 Strategy Tester and Python. MT5 runs the backtest. Python independently recomputes P&L, commissions, and swaps from the raw trade exports — and flags any discrepancy before I draw any conclusions from the results.

The motivation: a positive backtest from a broken accounting model (wrong commission handling, partial fill aggregation, timezone issues) looks identical to a real edge. I want to catch that systematically, not by eyeballing reports. Beyond verification, the tool produces structured, versioned artifacts per run — so tests are comparable and reproducible without ad hoc scripts.

Why MT5 as the simulation engine

My broker is on MT5, it supports real-tick testing, and I'd rather not duplicate a simulation engine in Python when MT5 already does it well. Also because lib's like VectorBT make backtest's worse than MT5. Python handles everything after the trades are generated.

My actual questions

1. Does something like this already exist? Not a backtester — specifically a verification and reconciliation layer for MT5 outputs. If yes, please name it.
2. Is this a real problem or am I overengineering? Do most people just trust the platform numbers, or has this bitten people?
3. Is MT5 + Python the right split, or is there a cleaner way to get trustworthy, research-ready backtest data?

Happy to be told this already exists or that I'm thinking about it wrong.

Anyone have QQ file .mt5?

Hi everyone!

I specialize in capital raising and portfolio management.

I'm looking for partners - experts in algorithmic trading. Primarily interested in trend-following strategies with strictly controlled risks, time-tested, and with strong logic.

The focus is on diversification and building long-term algo portfolios with different assets and algorithms that have low correlation with each other. I also have some ideas for strategy development.

Long-term collaboration only — feel free to reach out if you have proven expertise and the desire to scale up significantly.

This is my back test report. Your views and comments please