Uanchors Menu with on screen visuals
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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
Jason Smith
2026.03.30
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
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Jason Smith
It finds the best markets + best conditions, then simulates trading them together like a portfolio.
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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
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
2026.03.27
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
2026.03.27
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
Jason Smith
2026.03.26
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
Jason Smith
2026.03.26
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
2026.03.26
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
2026.03.26
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!
Jason Smith
MarkovMatrix>python BOT.py --symbol EURUSD --fixed-lots 0.1 --journal eurobot.db --magic 3 --auto-reconnect --mt5-path "C:\Program Files\MetaTrader 7 IC Markets Global\terminal64.exe" --max-positions 2
Jason Smith
The dashboard gets its data from the Markov API running on locally
Each Markov instance serves JSON at http://localhost:PORT/api/data.
The dashboard fetches from these endpoints every 30 (was 5) minutes and displays the results in a table.
Each Markov instance serves JSON at http://localhost:PORT/api/data.
The dashboard fetches from these endpoints every 30 (was 5) minutes and displays the results in a table.
Jason Smith
2026.03.24
This full system will be available for sale soon.Not sure when.
If you’re interested, feel free to DM me.
If you’re interested, feel free to DM me.
Jason Smith
Python Bot trading the HMM signals.
Jason Smith
2026.03.24
Position sizes are different because of the Markov signal size multiplier.
The Markov model assigns higher size multipliers to signals it's more confident in.Stronger signals get larger positions. Weaker signals get smaller positions.
That's exactly how it should work. The bot scales risk based on signal confidence.
The Markov model assigns higher size multipliers to signals it's more confident in.Stronger signals get larger positions. Weaker signals get smaller positions.
That's exactly how it should work. The bot scales risk based on signal confidence.
Jason Smith
2026.03.24
If you run with --fixed-lots 0.1 (1 mini lot = 0.1), the Markov size multiplier scales it:
Symbol Pos % Fixed Lots Calculated Lots Rounded Lots
USDJPY 80% 0.1 × 0.80 = 0.080 0.08
BTCUSD 77% 0.1 × 0.77 = 0.077 0.08
XAUUSD 76% 0.1 × 0.76 = 0.076 0.08
EURUSD 69% 0.1 × 0.69 = 0.069 0.07
AUDUSD 52% 0.1 × 0.52 = 0.052 0.05
Symbol Pos % Fixed Lots Calculated Lots Rounded Lots
USDJPY 80% 0.1 × 0.80 = 0.080 0.08
BTCUSD 77% 0.1 × 0.77 = 0.077 0.08
XAUUSD 76% 0.1 × 0.76 = 0.076 0.08
EURUSD 69% 0.1 × 0.69 = 0.069 0.07
AUDUSD 52% 0.1 × 0.52 = 0.052 0.05
Thanx for your comment