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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
Markov Python bot trading using the HMM signal (DE40).
An MT5 version will also be available.
An MT5 version will also be available.
Jason Smith
Markov Matrix HMM Dashboard -
Based on Markov HMM
The Markov Model is not guessing. It is calculating probability.
When price goes up in a strong uptrend, the HMM analyzes the hidden regime.
If it detects you are actually in a range or volatile regime disguised as a trend, it will not follow.
It will fade the move.
Based on Markov HMM
The Markov Model is not guessing. It is calculating probability.
When price goes up in a strong uptrend, the HMM analyzes the hidden regime.
If it detects you are actually in a range or volatile regime disguised as a trend, it will not follow.
It will fade the move.
Jason Smith
Pro15 Gold Trading Performance Today -
This isn't about riding a lucky trend.It's been buying and selling.
This isn't about riding a lucky trend.It's been buying and selling.
Jason Smith
1 시간 전
If you're interested in any of my products or see something you like, you might be able to get it for free. Let me know here -
Jason Smith
Uanchors Menu with on screen visuals
· 1
Jason Smith
2 시간 전
Recognition can be a powerful motivator. When your work is noticed.
Thanx for your comment
Thanx for your comment
Jason Smith
Got a new bot coming out this week Uanchors. Watch out for it.
Jason Smith
오늘
Uanchors — the bot your competition fears. The EA is a fully automated trading system based on threshold logic.
It begins by recording an initial price called the anchor price, which serves as the reference point for all trading decisions.
From this anchor, the system calculates the percentage change of the market price, updating in real-time with each tick.
It begins by recording an initial price called the anchor price, which serves as the reference point for all trading decisions.
From this anchor, the system calculates the percentage change of the market price, updating in real-time with each tick.
Jason Smith
Pro15 runs on custom timeframes, with D1 as the default.
The same core logic is applied across any selected timeframe.
Pro15 on H4 custom - Instead of fading the daily open, it fades the start of each H4 candle, trading the high and low of that timeframe.
The same core logic is applied across any selected timeframe.
Pro15 on H4 custom - Instead of fading the daily open, it fades the start of each H4 candle, trading the high and low of that timeframe.
Jason Smith
Upgraded the Monte Carlo script to leverage GPU acceleration — now fully utilizing the GPU for maximum performance
· 1
Jason Smith
It finds the best markets + best conditions, then simulates trading them together like a portfolio.
· 1
Jason Smith
What Makes this Markov Model World Class
The combination of HMM regime detection, multi-asset deployment, staged model deployment and comprehensive risk management puts this system far beyond what most traders ever build.
The architecture is scalable.
You can add new symbols, new models, new risk rules without rewriting core logic.
What Hedge Funds Do Differently -
They run this same structure but with proprietary data feeds, co-located servers, and teams of PhDs optimizing each component.
The logic is the same.
The execution is just faster and on more data.
The Markov Matrix, available exclusively on MQL5, is built on the same fundamental design principles as a small quant fund.
The Reality -
Ive built a miniature hedge fund. One that runs on your desktop, trades 20 markets, manages its own risk, tests new models before deployment, and tracks everything for analysis.
That's professional infrastructure.
Plus it also comes with a very powerful python bot to execute the trades sent by the HMM.
You get a Back tester. A dashboard, Monte Carlo and a lot lot more.
You can DM me for more info.
The combination of HMM regime detection, multi-asset deployment, staged model deployment and comprehensive risk management puts this system far beyond what most traders ever build.
The architecture is scalable.
You can add new symbols, new models, new risk rules without rewriting core logic.
What Hedge Funds Do Differently -
They run this same structure but with proprietary data feeds, co-located servers, and teams of PhDs optimizing each component.
The logic is the same.
The execution is just faster and on more data.
The Markov Matrix, available exclusively on MQL5, is built on the same fundamental design principles as a small quant fund.
The Reality -
Ive built a miniature hedge fund. One that runs on your desktop, trades 20 markets, manages its own risk, tests new models before deployment, and tracks everything for analysis.
That's professional infrastructure.
Plus it also comes with a very powerful python bot to execute the trades sent by the HMM.
You get a Back tester. A dashboard, Monte Carlo and a lot lot more.
You can DM me for more info.
Jason Smith
Markov Matrix HMM
This system tracks multiple HMM models to ensure you never deploy a bad one without testing.
Production is the live model trading. It's currently 11 days old.
Canary is a test model running alongside production but not trading.
You compare its performance to decide if it should replace production.
Champion and Challenger are for comparing historical models against new candidates.
The database stores all trading decisions from the production model.
The registry stores all trained model files.
This setup lets you upgrade models safely.
The canary catches problems before they hit your live account.
You always have a backup to roll back to if something fails.
This system tracks multiple HMM models to ensure you never deploy a bad one without testing.
Production is the live model trading. It's currently 11 days old.
Canary is a test model running alongside production but not trading.
You compare its performance to decide if it should replace production.
Champion and Challenger are for comparing historical models against new candidates.
The database stores all trading decisions from the production model.
The registry stores all trained model files.
This setup lets you upgrade models safely.
The canary catches problems before they hit your live account.
You always have a backup to roll back to if something fails.
Jason Smith
The image below is not the bot its the actual HMM -
Strong Uptrends Can Be Sells.
The HMM balances two opposing forces.
One wants to follow the trend and buy strength.
The other expects prices to revert and sells when they get too high.
When price is strongly rising, the mean reversion side triggers a sell signal because it sees the move as extreme and expects a pullback.
This is intentional -
It's designed to catch reversals.
It means you sometimes get sell signals during strong uptrends when the mean reversion side wins the battle.
The agreement score tells you if both sides agree.
Low agreement means they're fighting each other.
Strong Uptrends Can Be Sells.
The HMM balances two opposing forces.
One wants to follow the trend and buy strength.
The other expects prices to revert and sells when they get too high.
When price is strongly rising, the mean reversion side triggers a sell signal because it sees the move as extreme and expects a pullback.
This is intentional -
It's designed to catch reversals.
It means you sometimes get sell signals during strong uptrends when the mean reversion side wins the battle.
The agreement score tells you if both sides agree.
Low agreement means they're fighting each other.
Jason Smith
Hidden Markov Model (HMM) -
A mathematical model that detects invisible market conditions (trending, ranging, volatile) by analyzing visible data like price moves and volatility.
These are the signals that the Python bot uses to execute trades.
A mathematical model that detects invisible market conditions (trending, ranging, volatile) by analyzing visible data like price moves and volatility.
These are the signals that the Python bot uses to execute trades.
Jason Smith
What the Bot Is
This python bot is running a multi-asset automated trading system powered by Hidden Markov Models (HMM) .
This python bot is running a multi-asset automated trading system powered by Hidden Markov Models (HMM) .
Jason Smith
Thought of the day -
If you build it they will come
If you build it they will come
Jason Smith
금요일
Not sure where Im going with this blog but its going to be built around the Markov Model
Jason Smith
Using a batch file to run multiple commands makes things much easier.
The dashboard, Markov processes, and bots require launching 39 separate shells, each with its own setup, which is very tedious to do manually.
With a batch file, you can simply click once and run everything automatically.This file is for launching the bots.
I have a separate one for running the Markov processes.
The dashboard, Markov processes, and bots require launching 39 separate shells, each with its own setup, which is very tedious to do manually.
With a batch file, you can simply click once and run everything automatically.This file is for launching the bots.
I have a separate one for running the Markov processes.
Jason Smith
금요일
Everything I’m working on is still in beta, so I’m continuously testing, refining, and making improvements as I go.
Jason Smith
Creating Monte Carlo Simulation in Python - Imagine you have a trading strategy.
You backtested it and it made $10,000 over a year.
What if trades happened in a different order?
What if you hit your losing streak first instead of last?
Would you still make $10,000? Would you blow up?
Monte Carlo answers that by replaying your strategy thousands of times, each time shuffling the trades randomly.
Some simulations you get lucky and make $20,000.Some you get unlucky and lose $5,000.
Some you just grind to $12,000.After running all these simulations, you see the full range of what could happen.
You learn your average outcome, your worst case, and most importantly, your risk of going broke.A strategy that looks great in backtest might fail in 30% of Monte Carlo simulations.
That tells you it's too risky. You need to size down or improve the edge.
It's simply a reality check. It strips away the "if everything goes perfectly" fantasy and shows you what will probably happen, what could go wrong, and how bad it might get.No bullshit.
Just probability telling you if your strategy is actually safe to trade.
Monte Carlo Simulation Named after the famous Monte Carlo Casino in Monaco because it relies on randomness and probability.
What It Actually Is Monte Carlo simulation is mathematical risk analysis, not gambling.
Gambling is betting without knowing the odds, while Monte Carlo is calculating the odds before you bet.
Gamblers hope for luck, but traders using Monte Carlo know exactly what bad luck looks like before it happens.
It removes hope and replaces it with probability.
You don’t wonder, “What if I hit a losing streak?” You know, “There’s a 5% chance I lose 10 trades in a row.” You don’t panic when a drawdown hits.
You expected it.
You sized your positions so you survive it.
Despite the casino name, Monte Carlo is one of the most serious, scientific tools in finance.
Professionals use it specifically to avoid gambling with their money.
You backtested it and it made $10,000 over a year.
What if trades happened in a different order?
What if you hit your losing streak first instead of last?
Would you still make $10,000? Would you blow up?
Monte Carlo answers that by replaying your strategy thousands of times, each time shuffling the trades randomly.
Some simulations you get lucky and make $20,000.Some you get unlucky and lose $5,000.
Some you just grind to $12,000.After running all these simulations, you see the full range of what could happen.
You learn your average outcome, your worst case, and most importantly, your risk of going broke.A strategy that looks great in backtest might fail in 30% of Monte Carlo simulations.
That tells you it's too risky. You need to size down or improve the edge.
It's simply a reality check. It strips away the "if everything goes perfectly" fantasy and shows you what will probably happen, what could go wrong, and how bad it might get.No bullshit.
Just probability telling you if your strategy is actually safe to trade.
Monte Carlo Simulation Named after the famous Monte Carlo Casino in Monaco because it relies on randomness and probability.
What It Actually Is Monte Carlo simulation is mathematical risk analysis, not gambling.
Gambling is betting without knowing the odds, while Monte Carlo is calculating the odds before you bet.
Gamblers hope for luck, but traders using Monte Carlo know exactly what bad luck looks like before it happens.
It removes hope and replaces it with probability.
You don’t wonder, “What if I hit a losing streak?” You know, “There’s a 5% chance I lose 10 trades in a row.” You don’t panic when a drawdown hits.
You expected it.
You sized your positions so you survive it.
Despite the casino name, Monte Carlo is one of the most serious, scientific tools in finance.
Professionals use it specifically to avoid gambling with their money.
Jason Smith
I’m available for projects.You can ask for me directly on Freelancer.
I can turn trading strategies into fully functional systems.
I can turn trading strategies into fully functional systems.
Jason Smith
목요일
Monte Carlo Simulation Named after the famous Monte Carlo Casino in Monaco because it relies on randomness and probability. What It Actually Is Monte Carlo simulation is mathematical risk analysis, not gambling. Gambling is betting without knowing the odds, while Monte Carlo is calculating the odds before you bet. Gamblers hope for luck, but traders using Monte Carlo know exactly what bad luck looks like before it happens. It removes hope and replaces it with probability. You don’t wonder, “What if I hit a losing streak?” You know, “There’s a 5% chance I lose 10 trades in a row.” You don’t panic when a drawdown hits. You expected it. You sized your positions so you survive it. Despite the casino name, Monte Carlo is one of the most serious, scientific tools in finance. Professionals use it specifically to avoid gambling with their money.
Jason Smith
No matter what system you use in trading, the edge usually isn’t just strategy. It’s how you control the downside when you’re wrong.
A lot of trader's get stuck obsessing over the perfect strategy, indicators, or timing entries.
But the one who last tend to focus more on how much they risk per trade, how they handle losing streaks, their position sizing, and staying consistent over time.
Even a mediocre strategy can survive, and sometimes even perform well, with solid risk management.
A great strategy can fall apart quickly if risk isn’t controlled.
A simple way to think about it is that the strategy gives you potential edge, while risk management is what allows you to survive and actually compound results over time.
Survival is everything.
You can’t benefit from a good system if you’re wiped out before it has a chance to play out.
A lot of trader's get stuck obsessing over the perfect strategy, indicators, or timing entries.
But the one who last tend to focus more on how much they risk per trade, how they handle losing streaks, their position sizing, and staying consistent over time.
Even a mediocre strategy can survive, and sometimes even perform well, with solid risk management.
A great strategy can fall apart quickly if risk isn’t controlled.
A simple way to think about it is that the strategy gives you potential edge, while risk management is what allows you to survive and actually compound results over time.
Survival is everything.
You can’t benefit from a good system if you’re wiped out before it has a chance to play out.
전체 댓글 표시 (7)
Jason Smith
목요일
What Ive fundamentally done is add this products feature's to the HMM bot - https://www.mql5.com/en/market/product/149146?source=Site+Market+My+Products+Page
Jason Smith
목요일
This approach is better because it ties both your stop loss and take profit to actual market structure instead of arbitrary values.
By placing the stop loss at the previous H4 (configurable) candle’s low - high, you’re using a level that the market has already respected. If price breaks that level, it’s a reasonable signal that your trade direction is wrong, so you’re getting out based on logic rather than guesswork.
By placing the stop loss at the previous H4 (configurable) candle’s low - high, you’re using a level that the market has already respected. If price breaks that level, it’s a reasonable signal that your trade direction is wrong, so you’re getting out based on logic rather than guesswork.
Jason Smith
목요일
The bot now has a feature to trail your stop loss to each new H4 candle's high/low as they form, locking in profits while giving the trade room to breathe!