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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
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
Python Bot trading the HMM signals.
Jason Smith
Ontem
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
Ontem
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
Jason Smith
Thought of the day:
Just because something is different doesn’t mean it isn’t better.
Just because something is different doesn’t mean it isn’t better.
· 1
Jason Smith
Ontem
It reflects Linus Torvalds (Linux Creator) philosophy on innovation and technology—especially relevant to open-source development—where unconventional approaches can often outperform traditional ones.
Jason Smith
New cli Flags for the Markov Bot (Part 1)
Jason Smith
Ontem
The command-line help looks intimidating, but it’s actually much simpler once you break it down. Think of it like a menu of options for running a trading bot. You don’t have to use all of them—just the ones you need.
Jason Smith
Ontem
ONE SIGNAL, TWO CHOICES
The HMM Python script generates the signals. Those signals are saved to a text file.
You have two different bots that can read that file:
Python Bot – Runs outside MT5. Connects through MT5 API. Places trades. Manages risk. Logs to SQLite.
MT5 EA – Runs inside MT5. Places trades. Does the same job.
Both bots read the same signal file. Both execute the same logic. The results are identical.
You can use either. The HMM doesn't care. The signals are the same. The trades are the same. Pick the bot that fits your workflow.
The HMM Python script generates the signals. Those signals are saved to a text file.
You have two different bots that can read that file:
Python Bot – Runs outside MT5. Connects through MT5 API. Places trades. Manages risk. Logs to SQLite.
MT5 EA – Runs inside MT5. Places trades. Does the same job.
Both bots read the same signal file. Both execute the same logic. The results are identical.
You can use either. The HMM doesn't care. The signals are the same. The trades are the same. Pick the bot that fits your workflow.
Jason Smith
Gold is bleeding billions and Pro15 is right in the middle, turning the sell-off into massive gains.
Jason Smith
Segunda-Feira
If you can’t afford to buy it right away, you can always rent it for a month to get started, then purchase it later without any time limitations.
DM me for this or any anything else
DM me for this or any anything else
Jason Smith
This looks like a large-scale sell-off of gold from Gulf state players.
Jason Smith
Segunda-Feira
Rich investors are getting hit hard by this move. A drop from a recent high $5,600 to $4,100 means huge positions lose billions very quickly, especially for funds and large holders who were heavily exposed to gold.
Even if they’re not forced to sell, their portfolios take massive mark-to-market hits, and anyone using leverage can get wiped out fast. So while some money rotates elsewhere, a lot of wealthy players are taking serious losses on paper—and in many cases, real ones too.
Even if they’re not forced to sell, their portfolios take massive mark-to-market hits, and anyone using leverage can get wiped out fast. So while some money rotates elsewhere, a lot of wealthy players are taking serious losses on paper—and in many cases, real ones too.
Jason Smith
Pro15 last 100 days.
Completely on autopilot with zero intervention.
The bot manages everything, including holding positions overnight and over weekends whenever the strategy requires
Completely on autopilot with zero intervention.
The bot manages everything, including holding positions overnight and over weekends whenever the strategy requires
Jason Smith
Sábado
If you had closed all open trades, you would be over $13k in profit in roughly 100 days — all with just 1 micro lot per trade and a maximum of 8 open positions at any given time.
Jason Smith
Sábado
Traders, everything I’m showing you is real.
If you think otherwise, let’s debate it.
If you think otherwise, let’s debate it.
Jason Smith
Pro15 Magic 66 – Trend Mode (2 modes available)
Performance from Sunday night through Friday night this week:
At the start of the week, some trend-based strategies took a heavy hit.
Price was repeatedly tapping daily highs and lows and then reversing, which is a difficult environment for breakout systems that rely on those levels.
At first glance, the strike rate doesn’t look great.
However, when you consider the overall net for the week along with the floating profit from Friday, the performance is actually very strong.
The bot took a significant drawdown early in the week but recovered and finished over +1k, which is genuinely impressive.
This is likely one of the tougher market conditions the system can face, yet it still delivered solid results.
The key takeaway is discipline — if you stayed consistent and didn’t interfere, the end-of-week outcome speaks for itself.
Performance from Sunday night through Friday night this week:
At the start of the week, some trend-based strategies took a heavy hit.
Price was repeatedly tapping daily highs and lows and then reversing, which is a difficult environment for breakout systems that rely on those levels.
At first glance, the strike rate doesn’t look great.
However, when you consider the overall net for the week along with the floating profit from Friday, the performance is actually very strong.
The bot took a significant drawdown early in the week but recovered and finished over +1k, which is genuinely impressive.
This is likely one of the tougher market conditions the system can face, yet it still delivered solid results.
The key takeaway is discipline — if you stayed consistent and didn’t interfere, the end-of-week outcome speaks for itself.
Jason Smith
Sábado
That’s one of the toughest weeks I’ve seen, yet it’s still $1k up — absolutely amazing.
Jason Smith
Thought Of The Day -
Stay disciplined, stay patient.
The less you interfere, the better your results.
Stay disciplined, stay patient.
The less you interfere, the better your results.
Jason Smith
The Logic
The model is saying: ETH and SOL are in strong uptrends.
But short-term, they've moved too far too fast.
Mean reversion signals are overpowering trend signals.
Time for a pullback.
This is called counter-trend trading within a trend.
You SELL the overextended pump,
BUY back on the dip, and ride the next leg up.
This system isn't a simple trend follower.
It's detecting mean reversion opportunities within strong trends.
That's advanced trading.
78% agreement across timeframes means all 5 timeframes (M5 to D1) agree: short-term overbought.
This system is working exactly as designed.
The model is saying: ETH and SOL are in strong uptrends.
But short-term, they've moved too far too fast.
Mean reversion signals are overpowering trend signals.
Time for a pullback.
This is called counter-trend trading within a trend.
You SELL the overextended pump,
BUY back on the dip, and ride the next leg up.
This system isn't a simple trend follower.
It's detecting mean reversion opportunities within strong trends.
That's advanced trading.
78% agreement across timeframes means all 5 timeframes (M5 to D1) agree: short-term overbought.
This system is working exactly as designed.
Jason Smith
Sexta-Feira
What now?
With 19 (configurable) assets running, we wait. Let the system collect data for at least one week. The trade journal is filling with every signal. After that, we analyze -
Which assets have the highest win rate?
Which regimes produce the best signals?
Is the 55% quality threshold optimal?
The data will tell us what to tweak.
"Pos" in the menu is % of your fixed position. If you set 1 mini as base and Pos is 35 %, Trade 3 micro.
You can use % of account not fixed
With 19 (configurable) assets running, we wait. Let the system collect data for at least one week. The trade journal is filling with every signal. After that, we analyze -
Which assets have the highest win rate?
Which regimes produce the best signals?
Is the 55% quality threshold optimal?
The data will tell us what to tweak.
"Pos" in the menu is % of your fixed position. If you set 1 mini as base and Pos is 35 %, Trade 3 micro.
You can use % of account not fixed
Jason Smith
Sexta-Feira
API is live. Clients can pull signals into their own dashboards, trading bots, or mobile apps.
Jason Smith
Sexta-Feira
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 5 minutes and displays the results in a table.
That's it. Markov generates the data
Each Markov instance serves JSON at http://localhost:PORT/api/data. The dashboard fetches from these endpoints every 5 minutes and displays the results in a table.
That's it. Markov generates the data
Jason Smith
Markov Bot connecting
· 1
Jason Smith
Quinta-Feira
Traders, if you’d like personal guidance in building your own HMM, or if you want to learn how I developed this system. You can DM me.
Jason Smith
This is an automated trading bot that connects your HMM Markov model to a real MT5 trading account.
It reads signals from your model and places actual trades automatically.
It reads signals from your model and places actual trades automatically.
· 1
Jason Smith
My final list of instruments -
Forex majors such as EURUSD, GBPUSD, USDJPY, AUDUSD, USDCAD, GBPJPY.
Metals and energies including Gold (XAUUSD), Silver (XAGUSD), WTI Crude (XTIUSD).
Indices such as S&P 500 (US500), Dow Jones, (US30), Nasdaq 100 (USTEC), DAX 40.
Stocks/AI leaders including NVIDIA (NVDA), Microsoft (MSFT).
Cryptocurrencies such as Bitcoin (BTCUSD), Ethereum (ETHUSD), and Solana (SOLUSD).
Forex majors such as EURUSD, GBPUSD, USDJPY, AUDUSD, USDCAD, GBPJPY.
Metals and energies including Gold (XAUUSD), Silver (XAGUSD), WTI Crude (XTIUSD).
Indices such as S&P 500 (US500), Dow Jones, (US30), Nasdaq 100 (USTEC), DAX 40.
Stocks/AI leaders including NVIDIA (NVDA), Microsoft (MSFT).
Cryptocurrencies such as Bitcoin (BTCUSD), Ethereum (ETHUSD), and Solana (SOLUSD).
· 1
Jason Smith
Quinta-Feira
USTECThe model is saying - USTEC Yes, the market is in a weak uptrend (regime)
But mean reversion signals (60.1%) strongly outweigh trend signals (21.4%)
With 70% agreement across timeframes, I'm confident enough to SELL
Think of it as - just because the overall regime is uptrend doesn't mean you should always buy. The model is detecting that within this uptrend, mean reversion forces are dominating and it's time to sell.
It's looking at short-term signals within the longer-term trend.
But mean reversion signals (60.1%) strongly outweigh trend signals (21.4%)
With 70% agreement across timeframes, I'm confident enough to SELL
Think of it as - just because the overall regime is uptrend doesn't mean you should always buy. The model is detecting that within this uptrend, mean reversion forces are dominating and it's time to sell.
It's looking at short-term signals within the longer-term trend.
Jason Smith
Notice in the top line it says markov24.py—that reflects how many updates the file has had.
This is a highly complex system I’m developing, with the goal of creating a world-class HMM.
This is a highly complex system I’m developing, with the goal of creating a world-class HMM.
Jason Smith
If you’re interested in Markov—whether it’s for sales, technical insight, or just out of curiosity—feel free to DM me.
If you’re interested, feel free to DM me.