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1 année
expérience
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22
produits
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15
versions de démo
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2
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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
An Allocator using a Hidden Markov Model (HMM) is a smart system that dynamically shifts your investments between different assets.
It detects unobservable "market regimes" (like high-volatility vs. calm growth) by looking at observable data like prices and volume.
It then adjusts your portfolio risk automatically.
It detects unobservable "market regimes" (like high-volatility vs. calm growth) by looking at observable data like prices and volume.
It then adjusts your portfolio risk automatically.
Jason Smith
Hier
This system is for sale.
Jason Smith
Looking to partner with entrepreneur(s). Multi-Model HMM Trading System with Canary Risk Control and Shadow Validation.
I have a fully functional HMM. Hidden Markov Model
The Production model is the main, fully trusted model used for live trading decisions and position sizing.
The Canary model acts as an early warning system; it's a newer model deployed alongside Production to detect market "drift" (statistical changes) by comparing its predictions to real market behavior, and if it detects a significant mismatch, it triggers a risk reduction (e.g., cutting position sizes by 50%) to protect the system.
The Shadow model is a candidate waiting in the wings; it runs completely in the background without affecting trades, collecting performance data (like rolling Sharpe ratio) for a validation period (e.g., 10 cycles).
Only after the Shadow proves it consistently outperforms the current Production model does it get promoted to Canary, and eventually to Production, ensuring the system always uses the most robust available model while continuously testing new ones.
I have a fully functional HMM. Hidden Markov Model
The Production model is the main, fully trusted model used for live trading decisions and position sizing.
The Canary model acts as an early warning system; it's a newer model deployed alongside Production to detect market "drift" (statistical changes) by comparing its predictions to real market behavior, and if it detects a significant mismatch, it triggers a risk reduction (e.g., cutting position sizes by 50%) to protect the system.
The Shadow model is a candidate waiting in the wings; it runs completely in the background without affecting trades, collecting performance data (like rolling Sharpe ratio) for a validation period (e.g., 10 cycles).
Only after the Shadow proves it consistently outperforms the current Production model does it get promoted to Canary, and eventually to Production, ensuring the system always uses the most robust available model while continuously testing new ones.
Jason Smith
For months on my profile, I have been highlighting the importance of the potential double-bottom formation on the Bitcoin daily chart.
The pattern has finally played out, likely driven by a combination of profit-taking, institutional repositioning, and selling pressure from larger market participants.
While many traders viewed the decline with concern, I saw it as a significant accumulation opportunity.
Periods of forced selling and heightened fear often create some of the best risk-reward entries for long-term investors.
I used the pullback to increase my Bitcoin holdings at price approximately $61,500.
Whether the exact bottom is in place remains to be seen, but from a risk-versus-reward perspective, the area represented a compelling opportunity to acquire coins at a substantial discount to previous highs.
The key question now is whether this move marks a temporary correction within a broader bull market or the beginning of a more extended period of consolidation.
Either way, major selloffs have historically been where the strongest long-term positions are built.
The pattern has finally played out, likely driven by a combination of profit-taking, institutional repositioning, and selling pressure from larger market participants.
While many traders viewed the decline with concern, I saw it as a significant accumulation opportunity.
Periods of forced selling and heightened fear often create some of the best risk-reward entries for long-term investors.
I used the pullback to increase my Bitcoin holdings at price approximately $61,500.
Whether the exact bottom is in place remains to be seen, but from a risk-versus-reward perspective, the area represented a compelling opportunity to acquire coins at a substantial discount to previous highs.
The key question now is whether this move marks a temporary correction within a broader bull market or the beginning of a more extended period of consolidation.
Either way, major selloffs have historically been where the strongest long-term positions are built.
Jason Smith
2026.06.07
MicroStrategy (now called Strategy), they have accumulated one of the largest Bitcoin positions in the world.
As of early June 2026, Strategy holds approximately 843,706 BTC after a small sale of 32 BTC. Their total acquisition cost is about $63.9 billion, with an average purchase price around $75,700 per Bitcoin. I waited nearly six months for this low.
Now we’re positioned in Bitcoin at institutional-level pricing or better. $61.500
Discipline matters here—entries like this are built, not chased.
As of early June 2026, Strategy holds approximately 843,706 BTC after a small sale of 32 BTC. Their total acquisition cost is about $63.9 billion, with an average purchase price around $75,700 per Bitcoin. I waited nearly six months for this low.
Now we’re positioned in Bitcoin at institutional-level pricing or better. $61.500
Discipline matters here—entries like this are built, not chased.
Jason Smith
Hidden Markov Model Engine with Markov State Matrix Dashboard
The dashboard can be securely accessed from any web browser through encrypted endpoints when Ngrok tunneling is enabled, providing real-time remote monitoring from virtually anywhere in the world.
This feature would allow a subscription based sign ups.
The dashboard can display indices, stocks, oil metals, etc.
The HMM comes in 3 parts.
The Allocator - HMM (Hidden Markov Model)
The Markov Python Bot.
Master Dashboard.
The dashboard can be securely accessed from any web browser through encrypted endpoints when Ngrok tunneling is enabled, providing real-time remote monitoring from virtually anywhere in the world.
This feature would allow a subscription based sign ups.
The dashboard can display indices, stocks, oil metals, etc.
The HMM comes in 3 parts.
The Allocator - HMM (Hidden Markov Model)
The Markov Python Bot.
Master Dashboard.
Jason Smith
New website is currently under development and will be live soon.
In the meantime, here's a sneak preview.
All bots and indicators featured on the site will link directly to MQL5.com.
In the meantime, here's a sneak preview.
All bots and indicators featured on the site will link directly to MQL5.com.
Jason Smith
New features added to the HMM python bot -
When the hmm has sell or a buy it can switch to hold: No trade.
These new features let's he bot close on hold. Trail ATR on hold or Zero out on hold
When the hmm has sell or a buy it can switch to hold: No trade.
These new features let's he bot close on hold. Trail ATR on hold or Zero out on hold
Jason Smith
Thought of the day - Niccolò Machiavelli
Every one sees what you appear to be, few experience what you really are.
Every one sees what you appear to be, few experience what you really are.
Jason Smith
2026.05.06
Once you’ve been found out — truly seen—you don’t get to hide behind appearances anymore.
Jason Smith
MarkovMarix Update -
The system is in weekend consolidation mode with only Bitcoin trading. No other markets are open.
There is no fresh data to train new models. Drift is active. Positions are reduced by 50%.
All of this is correct behavior.
What is working perfectly:
The risk manager calculated a base position of roughly 98% based on volatility and market conditions.
The drift reduction cut that to 49%. The math is correct.
The quality score is 53.7%, just below the 55% trade threshold.
The system correctly held instead of forcing a trade.
Multi-timeframe agreement is 89.8%. All timeframes agree on mean reversion.
That is strong consensus.
Sharpe ratio is positive at 0.36.
Risk adjusted returns are healthy.
The production model is 72 hours old and the canary is 45 hours old.
They disagree because the market has changed since Tuesday. That is exactly what drift detection is supposed to catch.
What is acceptable:
The production model age is high. But no new markets are open to train fresh data.
The system cannot fix what has no input. That is not a flaw. That is reality.
The action is HOLD when mean reversion is 53.7% and trend is only 9.2%.
A human trader might take that trade.
This system is more disciplined.
It waits for quality to cross 55%. That discipline will save you over thousands in lost trades.
The verdict -
For a weekend consolidation with only Bitcoin active.
The system is defensive, mathematically correct, and waiting patiently for Monday.
If this were Monday with all markets open and fresh data flowing, you would expect drift to clear and positions to normalize.
But on a quiet weekend, this is exactly what you want to see.
Monday will tell the real story.
The system is in weekend consolidation mode with only Bitcoin trading. No other markets are open.
There is no fresh data to train new models. Drift is active. Positions are reduced by 50%.
All of this is correct behavior.
What is working perfectly:
The risk manager calculated a base position of roughly 98% based on volatility and market conditions.
The drift reduction cut that to 49%. The math is correct.
The quality score is 53.7%, just below the 55% trade threshold.
The system correctly held instead of forcing a trade.
Multi-timeframe agreement is 89.8%. All timeframes agree on mean reversion.
That is strong consensus.
Sharpe ratio is positive at 0.36.
Risk adjusted returns are healthy.
The production model is 72 hours old and the canary is 45 hours old.
They disagree because the market has changed since Tuesday. That is exactly what drift detection is supposed to catch.
What is acceptable:
The production model age is high. But no new markets are open to train fresh data.
The system cannot fix what has no input. That is not a flaw. That is reality.
The action is HOLD when mean reversion is 53.7% and trend is only 9.2%.
A human trader might take that trade.
This system is more disciplined.
It waits for quality to cross 55%. That discipline will save you over thousands in lost trades.
The verdict -
For a weekend consolidation with only Bitcoin active.
The system is defensive, mathematically correct, and waiting patiently for Monday.
If this were Monday with all markets open and fresh data flowing, you would expect drift to clear and positions to normalize.
But on a quiet weekend, this is exactly what you want to see.
Monday will tell the real story.
Jason Smith
Work in progress - This system will be for sale for serious traders.
Been working on my HMM for the past couple of months — a lot of the features were harder to get right than expected.
No point making it look good if the models don’t actually work correctly.
Alongside that, I’ve been putting together a WordPress theme for the launch.
Prop trading firms are potential buyers.
They need automated trader evaluation and risk management.
This HMM system scores trade quality based on regime alignment.
That solves their biggest problem: distinguishing skilled traders from lucky gamblers.
They will pay $2,000 to $5,000 per month for a white-label license.
Hedge funds and quant funds are a target.
They spend millions developing alpha signals.
MarkovMatrix's regime detection and drift monitoring could complement their existing systems.
Buying the source code saves them development time.
They will pay $10,000 to $50,000 for full commercial rights.
They will pay $5,000 to $15,000 for an integration license plus ongoing royalties.
This is work in progress and this system will be for sale. Keep looking here for more info or DM me
Been working on my HMM for the past couple of months — a lot of the features were harder to get right than expected.
No point making it look good if the models don’t actually work correctly.
Alongside that, I’ve been putting together a WordPress theme for the launch.
Prop trading firms are potential buyers.
They need automated trader evaluation and risk management.
This HMM system scores trade quality based on regime alignment.
That solves their biggest problem: distinguishing skilled traders from lucky gamblers.
They will pay $2,000 to $5,000 per month for a white-label license.
Hedge funds and quant funds are a target.
They spend millions developing alpha signals.
MarkovMatrix's regime detection and drift monitoring could complement their existing systems.
Buying the source code saves them development time.
They will pay $10,000 to $50,000 for full commercial rights.
They will pay $5,000 to $15,000 for an integration license plus ongoing royalties.
This is work in progress and this system will be for sale. Keep looking here for more info or DM me
· 1
Jason Smith
2026.05.02
This is just a draft to get a feel for the layout and see if I’m happy with it.
Jason Smith
Quality gate - new feature added to the HMM
The system is:
Rejecting bad models (Sharpe -0.17) Detecting extreme drift (KL=23, Disagreement=100%) Protecting capital (positions at 29%) Waiting for a good challenger
The gate is alive, well, and protecting the system from bad models.
Its doing its job.
It's rejecting bad models and keeping you safe until market conditions produce a good one.
This is defensive trading.
The system is:
Rejecting bad models (Sharpe -0.17) Detecting extreme drift (KL=23, Disagreement=100%) Protecting capital (positions at 29%) Waiting for a good challenger
The gate is alive, well, and protecting the system from bad models.
Its doing its job.
It's rejecting bad models and keeping you safe until market conditions produce a good one.
This is defensive trading.
Jason Smith
Yen pairs -
Manipulating the market — with South Korea and Japan shorting base currencies.
This is exactly why strict risk management is non-negotiable, because moves like this can blow accounts fast.
Manipulating the market — with South Korea and Japan shorting base currencies.
This is exactly why strict risk management is non-negotiable, because moves like this can blow accounts fast.
Jason Smith
2026.04.30
Yen pairs on H1 are moving more in two hours than they have in weeks.
Japan weakens the yen because exports surge when it’s down — then later steps in to support it again.
Disgusting manipulation.
Japan weakens the yen because exports surge when it’s down — then later steps in to support it again.
Disgusting manipulation.
Jason Smith
2026.04.30
MicroStrategy has been doing something similar with Bitcoin.
They stack orders around round numbers — buying heavily around 65k, sometimes deploying hundreds of millions. Then when price pushes up toward 75k, they sell into strength and reload lower again. Rinse and repeat — effectively accumulating more coins over time.
Another form of market influence.
They stack orders around round numbers — buying heavily around 65k, sometimes deploying hundreds of millions. Then when price pushes up toward 75k, they sell into strength and reload lower again. Rinse and repeat — effectively accumulating more coins over time.
Another form of market influence.
Jason Smith
Been spending time lately cleaning up and organizing projects.
Lots of scripts, backups, different versions - the usual mess that builds up when you’re testing ideas and iterating quickly.
Trying to bring some structure to it now so things are easier to maintain and build on.
Time to back up all code and clean the work enviroment :)
At the same time, tightening up some of the core logic behind what I’m working on — focusing more on consistency and clarity.
Lots of scripts, backups, different versions - the usual mess that builds up when you’re testing ideas and iterating quickly.
Trying to bring some structure to it now so things are easier to maintain and build on.
Time to back up all code and clean the work enviroment :)
At the same time, tightening up some of the core logic behind what I’m working on — focusing more on consistency and clarity.
Jason Smith
“until the world blows, we will excel”
No matter how long things go on or how difficult life becomes, we will keep pushing forward and continue to succeed.
Progress and self-improvement won’t stop under any circumstances.
Resilience, persistence, and confidence
No matter how long things go on or how difficult life becomes, we will keep pushing forward and continue to succeed.
Progress and self-improvement won’t stop under any circumstances.
Resilience, persistence, and confidence
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Jason Smith
Thought of the day:
To live is to suffer, to survive is to find some meaning in the suffering.
Friedrich Nietzsche explored the idea that suffering is an inherent part of life and that meaning must be created rather than discovered.
He suggests that human beings transform suffering into growth through interpretation and strength of will.
It reflects his belief that suffering is fundamental to existence, and that individuals must create meaning through their response to it.
To live is to suffer, to survive is to find some meaning in the suffering.
Friedrich Nietzsche explored the idea that suffering is an inherent part of life and that meaning must be created rather than discovered.
He suggests that human beings transform suffering into growth through interpretation and strength of will.
It reflects his belief that suffering is fundamental to existence, and that individuals must create meaning through their response to it.
· 2