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Innovating the Future of Trading with Precision and Strategy
Welcome to my MQL5 profile! I’m TraderSmith, a passionate and results-driven trader committed to developing Expert Advisors (EAs) that transform complex market data into simple, actionable trading decisions.
Through developing trading bots, I aim to eliminate the emotional biases that often lead to impulsive decisions.
Every strategy I design is rooted in robust market analysis, precise risk management, and an understanding of market dynamics, ensuring that each trade has a solid foundation.
I focus on creating tools that are adaptable to a wide range of trading styles and risk profiles.
From high-frequency scalping to trend-following strategies, my EAs are built to execute trades with speed, accuracy, and discipline—freeing you from emotional reactions and enabling you to trade with confidence.
Every Expert Advisor I develop is designed with a clear trading philosophy.
I avoid random, “black-box” approaches and instead focus on precise, rule-based systems that are backtested, validated, and optimized to adapt to current market conditions.
Whether you’re executing strategies with pending orders, focusing on ATR-based risk management, or leveraging complex thresholds, my EAs are built to excel in dynamic market environments.
Comprehensive Support and Education
Trading is a journey, and I’m here to support you along the way.
Not only do I provide customer support to help you with any setup or technical questions, but I also offer educational resources and guidance on how to fully leverage the bots in various market conditions.
My goal is to ensure you not only use the tools effectively but also understand the underlying strategies that drive them.
My Commitment to You
As an active trader, I am constantly analyzing market trends and refining my tools to keep up with the latest advancements in algorithmic trading.
My mission is to give you the edge you need—whether you’re managing a prop account, building a portfolio, or just getting started.
I’m committed to creating robust, high-performance solutions that allow you to trade smarter, not harder.
I believe in building long-term relationships with my clients, so your feedback and success are always important to me.
If you have any questions, need advice, or simply want to discuss strategies, don’t hesitate to reach out. I’m here to ensure your trading journey is as successful as possible.
Thank you for considering my tools for your trading endeavors. I look forward to helping you achieve your trading goals!
Through algorithmic trading, you will develop discipline and patience—core traits for consistent performance. These bots will enforce rule-based execution, removing emotional bias and promoting data-driven decision-making. Over time, you'll learn that edge comes from systematic testing, risk management, and long-term consistency. Each trade, whether a win or a loss, becomes part of a feedback loop that sharpens both your strategy and your mindset. Once you’ve set up the bot, let it work.
Avoid the urge to micromanage every trade. Trust in the strategy and parameters you’ve defined.
Welcome to my MQL5 profile! I’m TraderSmith, a passionate and results-driven trader committed to developing Expert Advisors (EAs) that transform complex market data into simple, actionable trading decisions.
Through developing trading bots, I aim to eliminate the emotional biases that often lead to impulsive decisions.
Every strategy I design is rooted in robust market analysis, precise risk management, and an understanding of market dynamics, ensuring that each trade has a solid foundation.
I focus on creating tools that are adaptable to a wide range of trading styles and risk profiles.
From high-frequency scalping to trend-following strategies, my EAs are built to execute trades with speed, accuracy, and discipline—freeing you from emotional reactions and enabling you to trade with confidence.
Every Expert Advisor I develop is designed with a clear trading philosophy.
I avoid random, “black-box” approaches and instead focus on precise, rule-based systems that are backtested, validated, and optimized to adapt to current market conditions.
Whether you’re executing strategies with pending orders, focusing on ATR-based risk management, or leveraging complex thresholds, my EAs are built to excel in dynamic market environments.
Comprehensive Support and Education
Trading is a journey, and I’m here to support you along the way.
Not only do I provide customer support to help you with any setup or technical questions, but I also offer educational resources and guidance on how to fully leverage the bots in various market conditions.
My goal is to ensure you not only use the tools effectively but also understand the underlying strategies that drive them.
My Commitment to You
As an active trader, I am constantly analyzing market trends and refining my tools to keep up with the latest advancements in algorithmic trading.
My mission is to give you the edge you need—whether you’re managing a prop account, building a portfolio, or just getting started.
I’m committed to creating robust, high-performance solutions that allow you to trade smarter, not harder.
I believe in building long-term relationships with my clients, so your feedback and success are always important to me.
If you have any questions, need advice, or simply want to discuss strategies, don’t hesitate to reach out. I’m here to ensure your trading journey is as successful as possible.
Thank you for considering my tools for your trading endeavors. I look forward to helping you achieve your trading goals!
Through algorithmic trading, you will develop discipline and patience—core traits for consistent performance. These bots will enforce rule-based execution, removing emotional bias and promoting data-driven decision-making. Over time, you'll learn that edge comes from systematic testing, risk management, and long-term consistency. Each trade, whether a win or a loss, becomes part of a feedback loop that sharpens both your strategy and your mindset. Once you’ve set up the bot, let it work.
Avoid the urge to micromanage every trade. Trust in the strategy and parameters you’ve defined.
Jason Smith
Thought of the day -
Every step forward could trigger hidden dangers — you walk carefully because betrayal is everywhere.
Recognize manipulation and treachery before it reaches the battlefield — sometimes the best defense is awareness.
Every step forward could trigger hidden dangers — you walk carefully because betrayal is everywhere.
Recognize manipulation and treachery before it reaches the battlefield — sometimes the best defense is awareness.
· 2
Jason Smith
Open letter to MQL5 -
I have four major upgrades ready for products that are already on the Market.
On top of that, I have three really good indicators finished and ready to upload which are free, and I already have a very exclusive EA uploaded that just needs to be published.
At this point, though, I can't be bothered anymore.
This place is deader than dead.
The exposure is virtually nonexistent, and the support for developers is close to zero.
I have four major upgrades ready for products that are already on the Market.
On top of that, I have three really good indicators finished and ready to upload which are free, and I already have a very exclusive EA uploaded that just needs to be published.
At this point, though, I can't be bothered anymore.
This place is deader than dead.
The exposure is virtually nonexistent, and the support for developers is close to zero.
· 2
Hozeifa M Haji
2026.07.27
MQL is a scam dont waste your time here - I have money in my wallet and I cant even withdraw it - because bullshiit MQL cant send me money in my debit card and says I should use some other country debit card - imagine how stupid this is - dont waste your time here
Jason Smith
If a bot is executing a well-known, clearly defined strategy such as a moving average crossover, the logic is transparent and easily verifiable.
The bot either executes that strategy faithfully or it does not.
If it executes it faultlessly, the bot itself is functionally perfect regardless of whether the underlying strategy ultimately proves profitable or not.
The failure of the strategy in live market conditions has nothing to do with the bot's execution or coding quality and everything to do with the inherent limitations of that particular approach.
A black box EA where the strategy is entirely unknown warrants legitimate suspicion.
There is no way to verify whether the logic is sound, properly tested, or even functional.
The buyer must trust the vendor completely, and in a marketplace saturated with charlatans, that trust is rarely justified.
By contrast, a bot that executes a well-known strategy flawlessly cannot be faulted.
The code works, the logic is transparent, and the execution is precise.
If the strategy fails, it is the strategy itself that is inadequate, not the bot.
The bot cannot be blamed for faithfully carrying out what it was designed to do.
The suspicion should not fall on the bot's execution but on whether any widely known strategy can possibly provide a sustained edge in modern markets.
The bot either executes that strategy faithfully or it does not.
If it executes it faultlessly, the bot itself is functionally perfect regardless of whether the underlying strategy ultimately proves profitable or not.
The failure of the strategy in live market conditions has nothing to do with the bot's execution or coding quality and everything to do with the inherent limitations of that particular approach.
A black box EA where the strategy is entirely unknown warrants legitimate suspicion.
There is no way to verify whether the logic is sound, properly tested, or even functional.
The buyer must trust the vendor completely, and in a marketplace saturated with charlatans, that trust is rarely justified.
By contrast, a bot that executes a well-known strategy flawlessly cannot be faulted.
The code works, the logic is transparent, and the execution is precise.
If the strategy fails, it is the strategy itself that is inadequate, not the bot.
The bot cannot be blamed for faithfully carrying out what it was designed to do.
The suspicion should not fall on the bot's execution but on whether any widely known strategy can possibly provide a sustained edge in modern markets.
Jason Smith
Freelance section on MQL5 —
Is this some kind of joke, or is the system rigged?
Honestly, it could be both.
Is this some kind of joke, or is the system rigged?
Honestly, it could be both.
· 4
Jason Smith
The MQL5 Market becoming quieter -
Declining buyer activity, developers leaving or abandoning products, fewer innovative EAs being released, copycat products, pricing pressure, and negative reviews.
Overall, it portrays a marketplace where standing out and succeeding has become increasingly difficult.
Declining buyer activity, developers leaving or abandoning products, fewer innovative EAs being released, copycat products, pricing pressure, and negative reviews.
Overall, it portrays a marketplace where standing out and succeeding has become increasingly difficult.
· 2
Jason Smith
2026.07.24
I asked for my account to be deleted, as some of you may already know, but it was never removed. I didn’t ask for it to remain active. The only reason I’m still here is because my girlfriend is proud to see my work up close and support what I’ve been building.
Jason Smith
Thought of the day - The contrast is indeed striking.
We have autonomous vehicles operating millions of kilometres away on Mars, transmitting data across interplanetary distances with remarkable precision, yet a commercial trading platform in 2026 cannot reliably execute a simple order closure on a demo server without timing out at three-minute latencies.
This disparity points less to technical incapability and more to a deliberate misallocation of resources, where the demo environment is treated as a low-priority afterthought rather than a genuine service.
When a retail broker consistently delivers latency figures that would embarrass dial-up internet from the 1990s, it ceases to be a technical limitation and becomes a commercial decision.
The infrastructure exists to provide reliable execution, as evidenced by their live servers, but the demo tier is deliberately under-provisioned, presumably to incentivise traders to move to live accounts where the experience is markedly different.
Whether this constitutes a rigged system or simply a calculated business strategy is a matter of semantics, but the practical effect is identical.
The demo environment is engineered to frustrate rather than facilitate, and traders would be wise to recognise it as such and adjust their expectations accordingly.
One does not need to accuse the broker of malice to acknowledge that their priorities are transparently misaligned with the needs of developers and strategists who rely on a stable testing environment.
The evidence speaks for itself.
We have autonomous vehicles operating millions of kilometres away on Mars, transmitting data across interplanetary distances with remarkable precision, yet a commercial trading platform in 2026 cannot reliably execute a simple order closure on a demo server without timing out at three-minute latencies.
This disparity points less to technical incapability and more to a deliberate misallocation of resources, where the demo environment is treated as a low-priority afterthought rather than a genuine service.
When a retail broker consistently delivers latency figures that would embarrass dial-up internet from the 1990s, it ceases to be a technical limitation and becomes a commercial decision.
The infrastructure exists to provide reliable execution, as evidenced by their live servers, but the demo tier is deliberately under-provisioned, presumably to incentivise traders to move to live accounts where the experience is markedly different.
Whether this constitutes a rigged system or simply a calculated business strategy is a matter of semantics, but the practical effect is identical.
The demo environment is engineered to frustrate rather than facilitate, and traders would be wise to recognise it as such and adjust their expectations accordingly.
One does not need to accuse the broker of malice to acknowledge that their priorities are transparently misaligned with the needs of developers and strategists who rely on a stable testing environment.
The evidence speaks for itself.
Jason Smith
Over a five-day period from 20 to 24 July 2026, the IC Markets demo trading platform exhibited critical infrastructure failures characterised by extreme latency spikes reaching up to 180 seconds and repeated order execution timeouts.
Two separate position closure attempts failed entirely due to request timeouts, duplicate order submissions, and eventual state synchronisation errors where positions were reported as non-existent.
These issues are consistent with insufficient server capacity allocated to the demo tier, which prioritises live production traffic and consequently renders the simulation environment unreliable for any meaningful strategy testing or performance evaluation.
The observed behaviour does not reflect live trading conditions, where IC Markets typically maintains sub-fifty millisecond latency, but the current demo instability severely undermines development workflows and risks misattributing infrastructure failures to algorithmic logic.
Two separate position closure attempts failed entirely due to request timeouts, duplicate order submissions, and eventual state synchronisation errors where positions were reported as non-existent.
These issues are consistent with insufficient server capacity allocated to the demo tier, which prioritises live production traffic and consequently renders the simulation environment unreliable for any meaningful strategy testing or performance evaluation.
The observed behaviour does not reflect live trading conditions, where IC Markets typically maintains sub-fifty millisecond latency, but the current demo instability severely undermines development workflows and risks misattributing infrastructure failures to algorithmic logic.
Jason Smith
Markov Matrix Trading System for Sale (Python Backend)
The complete trading system includes:
Markov Matrix Allocator (HMM)
Python Dashboard
Python Trading Bot
MetaTrader 5 (MT5) Expert Advisor
A complete end-to-end algorithmic trading solution with a Python backend and MT5 integration.
The complete trading system includes:
Markov Matrix Allocator (HMM)
Python Dashboard
Python Trading Bot
MetaTrader 5 (MT5) Expert Advisor
A complete end-to-end algorithmic trading solution with a Python backend and MT5 integration.
· 3
Jason Smith
This batch file is essentially an automated delayed launcher for the trading bots.
Instead of starting them immediately, it waits exactly 2 hours (configurable), then launches a separate bot for each market in its own Windows Terminal tab.
Just add your commands to the batch file, and it will launch them automatically after the countdown.
@echo off
call C:\Users\Trade\Scripts\activate.bat base
echo Waiting 2 hours before starting bots...
echo Countdown:
for /l %%i in (7200,-1,1) do (
cls
echo Time remaining: %%i seconds ^(%~1 seconds total^)
timeout /t 1 /nobreak >nul
)
echo Starting bots now...
echo.
Instead of starting them immediately, it waits exactly 2 hours (configurable), then launches a separate bot for each market in its own Windows Terminal tab.
Just add your commands to the batch file, and it will launch them automatically after the countdown.
@echo off
call C:\Users\Trade\Scripts\activate.bat base
echo Waiting 2 hours before starting bots...
echo Countdown:
for /l %%i in (7200,-1,1) do (
cls
echo Time remaining: %%i seconds ^(%~1 seconds total^)
timeout /t 1 /nobreak >nul
)
echo Starting bots now...
echo.
Jason Smith
Markov Dashboard -
The bots will be held back until 2:10 am GMT (h4 candle)
The HMM (hidden Markov Model) will of had 2 updates by then.
State of play so far:
The bots will be held back until 2:10 am GMT (h4 candle)
The HMM (hidden Markov Model) will of had 2 updates by then.
State of play so far:
Jason Smith
Starting Markov up for this week's trading -
It updates so it captures the 2:00 AM (GMT) H4 candle at 2:05 AM.
I also added a timer to the bots' batch file, which starts them at 2:10 AM.
This gives the bots a few minutes to collect clean, confirmed data from the 2:00 AM H4 candle before executing any trades.
This setup means I can go to bed whenever I want instead of having to stay awake to launch Markov in time for the 2:00 AM candle and manually start the bots.
Everything now starts automatically at the right time.
It updates so it captures the 2:00 AM (GMT) H4 candle at 2:05 AM.
I also added a timer to the bots' batch file, which starts them at 2:10 AM.
This gives the bots a few minutes to collect clean, confirmed data from the 2:00 AM H4 candle before executing any trades.
This setup means I can go to bed whenever I want instead of having to stay awake to launch Markov in time for the 2:00 AM candle and manually start the bots.
Everything now starts automatically at the right time.
· 2
Jason Smith
New Bot Release – UAnchor
After nearly a year of testing and refinement, I’m finally ready to release something I’ve kept private.
This is a rare price action EA, built around daily percentages.
The release is coming this weekend. Keep an eye out for it.
After nearly a year of testing and refinement, I’m finally ready to release something I’ve kept private.
This is a rare price action EA, built around daily percentages.
The release is coming this weekend. Keep an eye out for it.