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https://www.mql5.com/en/job/new?prefered=bugraky123
https://www.mql5.com/en/channels/trendtower
Engineered by Experience. Built for the Markets.
With more than 20 years of experience in software development and engineering, and over a decade dedicated specifically to algorithmic trading, our team combines deep technical expertise with extensive real-market trading knowledge.
Every Expert Advisor and indicator we develop is engineered with precision, discipline, and attention to detail. From strategy architecture and signal logic to execution, risk management, filtering, and user experience, every component is carefully designed and refined by an experienced development team.
We do not believe in releasing unfinished ideas. Every product goes through extensive development cycles, historical backtesting, forward testing, market-condition analysis, and continuous refinement before being introduced to the MQL5 Market.
Our goal is not simply to automate trading decisions, but to build robust, intelligent, and professionally engineered trading systems capable of adapting to the realities of modern financial markets.
We focus on reliability, execution quality, logical consistency, risk awareness, and long-term usability. Our systems are developed using years of accumulated trading experience, quantitative analysis, and advanced software engineering principles.
We approach every product as a serious engineering project — not as a simple trading script.
Our Expert Advisors and indicators are designed for traders who value technology, transparency, disciplined execution, and sophisticated market logic.
Behind every product is extensive research, countless tests, continuous optimization, and one clear objective:
To create professional-grade algorithmic trading tools that traders can use with confidence.
Because behind every chart, every position, and every decision, there is a trader working toward a goal.
We hope our technology becomes a trusted part of that journey — helping you trade with greater discipline, clarity, and confidence.
May every system we build bring you one step closer to your goals, and may every trade be made with knowledge, patience, and purpose.
From our team to yours — trade wisely, stay disciplined, and may the markets reward your preparation.
An algorithm’s true value lies not only in the trends it captures, but also in how it behaves under challenging conditions.
Testing is an integral part of Trend Tower’s engineering process. Our focus goes beyond historical results to examine decision-making consistency, risk management, and system behavior across different market conditions.
We are developing, testing, and refining the details. Our goal is to deliver a carefully engineered system with clear logic behind every decision.
Trend Tower is still in development. We will continue sharing updates from the process here.
Algo Teknik
Quant Key Levels, version 1.0. The reference levels a discretionary trader actually works from, on one chart and in one visual language. Eleven families, each on its own switch, and nothing on the chart that a level does not earn. What separates it from a pivot pack is not the number of families. It is that the things most level tools assume, this one measures. How far your broker's clock sits from UTC, measured out of your own terminal rather than typed into a box. Where an exchange actually
Quant Desk Pro An R-native trade manager for MetaTrader 5. It manages the trades you have already opened: it measures what each one is really risking, protects it, scales out of it on a plan you set, trails what is left, and stops the whole book when the day has gone far enough wrong. Read this first. Quant Desk Pro does not open trades and has no signal. And it ships in VIEW ONLY : it will not send a single order until you set I understand the risks to true in
Something new is rising.
For a long time, we have been building, testing and refining what will become the flagship trading system of Algoteknik.
Its name is Trend Tower.
Designed to go beyond simple trend detection, Trend Tower is being developed to evaluate market structure, trend quality and trading conditions as one unified system.
We are not ready to reveal everything yet.
Over the coming weeks, we will share selected development notes, real market examples, testing results and individual layers of the system — step by step.
Trend Tower is coming.
Smart Volatility Squeeze MT5 Smart Volatility Squeeze MT5 is a volatility compression and momentum expansion indicator for MetaTrader 5. It builds on John Carter's Volatility Squeeze framework and extends the usual single-tier squeeze into three compression tiers, so you can see not only whether the market is compressed but how tightly it is compressed before it expands. The indicator opens in a separate window and draws two elements: a linear regression momentum histogram and a row of coloured
SVS Assistant SVS Assistant is the execution half of Smart Volatility Squeeze MT5. It carries out the orders you request from that indicator's 1-Click Trading Desk, applies your risk rules to them, and manages the resulting positions. It is published free of charge. Please read this before downloading: it does not analyse the market and it produces no signals of its own. Without the Smart Volatility Squeeze indicator running on the same chart there is nothing for it to listen to, and it will do
Smart Exit EA — Ride the Trend, Skip the Chop Smart Exit EA follows a trend with an adaptive ATR trailing line and stays in the move until the trend really turns. It is built for two problems every trend trader knows: getting shaken out of a good trade too early, and getting chopped up in a sideways market. Release notes, chart examples and new product announcements are posted on the TrendTower channel: https://www.mql5.com/en/channels/trendtower What It Does Rides trends longer.
Refine OBV Refine OBV measures cumulative volume flow read against its own adaptive signal line with a color-coded spread and non-repainting divergence detection. Raw On Balance Volume answers one question: is volume being credited to the buyers or the sellers? While useful, raw OBV is a single wandering line with no reference point. Refine OBV adds an adaptive EMA of the flow itself as a reference line. The distance between the flow and its signal line (the spread) is rendered as a
Trix Trend algoteknik · MetaTrader 5 Indicator Manual Overview Trix Trend is a momentum oscillator based on TRIX — the rate of change of a triple-smoothed exponential moving average of price. Triple smoothing removes most of the short-term noise, so the oscillator reacts to the underlying momentum of the move rather than to every small wiggle, while staying more responsive than a simple long moving average. The indicator draws a slope-colored TRIX line, a weighted signal line, a zero line, and
Smart Chandelier Exit Smart Chandelier Exit is an adaptive trailing-stop and trend-direction indicator. It plots a multi-layer ratchet stop line that follows price: green below price in an uptrend, red above price in a downtrend. The line only ever ratchets in the trend's favor, never against it, so it doubles as a mechanical trailing stop and a clear trend-state signal. What makes it smart is the built-in Pearson R trend-quality filter. A raw stop line tells you where the stop is; the Pearson R
One of the biggest misconceptions in algorithmic trading is believing that a profitable backtest automatically means a profitable trading system.
After spending more than two decades developing trading software and testing countless strategies, we've noticed that many Expert Advisors fail for surprisingly similar reasons.
Here are some of the most common mistakes.
### 1. Over-Optimization
Many EAs are optimized until they perfectly fit historical data.
The result often looks impressive:
* High profit factor
* Smooth equity curve
* Small drawdown
Unfortunately, once market conditions change, these systems frequently collapse because they learned historical noise instead of real market behavior.
---
### 2. Ignoring Different Market Regimes
Markets constantly transition between:
* Trending
* Ranging
* High volatility
* Low volatility
* News-driven periods
An EA that performs exceptionally during one regime may struggle significantly during another.
A robust algorithm should adapt or selectively avoid unfavorable environments rather than forcing trades everywhere.
---
### 3. Drawdown Matters More Than Profit
Many traders focus almost exclusively on annual returns.
In reality, long-term survival depends much more on drawdown.
Would you rather have:
* 60% annual return with 70% drawdown?
or
* 30% annual return with 12% drawdown?
Professional money management almost always favors the second option.
---
### 4. Risk Management Is the Real Strategy
Many developers spend months improving entry signals while dedicating little attention to:
* Position sizing
* Exposure control
* Consecutive loss protection
* Equity protection
* Volatility filters
Ironically, these components often have a greater impact on long-term performance than the entry logic itself.
---
### 5. Transparency Builds Trust
In today's marketplace, traders are becoming more experienced.
Most buyers now prefer to evaluate:
* Long-term backtests
* Forward testing
* Maximum drawdown
* Recovery factor
* Sharpe Ratio
* Profit Factor
instead of simply looking at total profit.
Providing transparent statistics helps users make informed decisions.
---
### Final Thoughts
There is no "perfect" Expert Advisor.
Markets evolve, volatility changes, and no algorithm wins forever.
However, an EA designed with realistic expectations, strong risk management, and disciplined development principles has a much better chance of surviving changing market conditions.
I'm curious to hear other developers' experiences.
**In your opinion, what is the biggest reason most Expert Advisors eventually fail?**
When evaluating an Expert Advisor, many traders immediately look at one number:
**Total Profit.**
While profit is obviously important, experienced developers often pay much closer attention to something else:
**Maximum Drawdown.**
Imagine these two systems.
### EA A
* Total Return: +320%
* Maximum Drawdown: 58%
* Profit Factor: 1.45
### EA B
* Total Return: +180%
* Maximum Drawdown: 14%
* Profit Factor: 2.10
At first glance, EA A appears far more attractive.
But would you really be comfortable watching your account lose more than half its value before recovering?
For many traders, the answer is no.
---
## Drawdown Is More Than a Number
Large drawdowns create psychological pressure.
Many traders stop using an EA precisely when it is about to recover.
Even if the strategy eventually reaches new equity highs, the user may have already abandoned it.
This is one reason why many excellent algorithms never stay in real accounts for very long.
---
## Capital Preservation Comes First
Professional money managers often repeat a simple principle:
**Protect capital first. Generate returns second.**
An EA that survives difficult market conditions has a much greater chance of producing attractive long-term returns.
Once an account experiences a 50% drawdown, it requires a 100% gain just to break even.
That recovery is much harder than many traders realize.
---
## Metrics Should Be Evaluated Together
Rather than focusing only on net profit, I believe an EA should always be evaluated using multiple statistics together.
For example:
* Maximum Drawdown
* Profit Factor
* Sharpe Ratio
* Recovery Factor
* Number of Trades
* Average Trade Duration
* Expected Payoff
* Consecutive Wins and Losses
A strategy with moderate returns but excellent consistency can often outperform a highly aggressive strategy over several years.
---
## Risk Management Is Often the Hidden Edge
In my experience, the difference between an average EA and a professional one is not always the entry signal.
Instead, it is usually found in:
* Position sizing
* Exposure limits
* Volatility filters
* Equity protection
* Session filters
* Trade management
Many developers underestimate how much these components influence long-term performance.
---
## What Do You Think?
If you had to choose only one Expert Advisor for the next five years, which would you prefer?
* Higher returns with larger drawdowns?
* Lower returns with much better capital preservation?
I'd be interested to hear how other developers and traders prioritize risk versus performance.
