|
1 year
experience
|
21
products
|
17
demo versions
|
|
2
jobs
|
0
signals
|
0
subscribers
|
The best algorithmic developers aren't just programmers - they're traders who code.
I develop and code custom trading strategies, automation tools and custom software across multiple platforms and languages, including TradingView (Pine Script), MetaTrader 5 (MQL5), Python and other modern development frameworks.
Looking for a quantitative developer role.
I can turn trading strategies into fully functional systems.
Extensive experience with Linux (Gentoo, Debian) and Unix systems (FreeBSD, OpenBSD)
I’m available for projects.
You can ask for me directly in the Freelance section.
How Observation Changes Outcomes :
In quantum mechanics, when light (or electrons) passes through two slits, it creates an interference pattern on the screen behind them.
Each particle seems to go through both slits at once, existing in a super position of all possible paths and the resulting pattern reflects the probabilities of where the particle could land.
If you try to measure which slit the particle goes through, the interference pattern disappears.
Observing the particle forces it into a definite state - it goes through one slit or the other.
The act of measurement collapses the wave function and fundamentally changes the outcome.
Before you check a trade, it’s in super position.
From a statistical perspective, your trade has a probability of winning or losing based on your system but you don’t yet know the outcome.
The trade is evolving naturally, just like a quantum system.
The moment you look at it, your observation collapses the “trade wave function” into a definite state - good or bad, winning or losing.
That observation triggers an emotional reaction — stress, fear, or overconfidence—which can cause you to break your plan, over-leverage, or revenge trade.
Just like in quantum mechanics, the act of measurement affects the system.
If you hadn’t looked, the system would have continued evolving naturally and you would have followed your plan without emotional interference.
This analogy mirrors the quantum concept perfectly - observation changes the outcome, not because the market changed, but because your interaction with it changed your behavior.
In other words, checking too often destroys the natural probabilistic outcome of your system, just like measuring the slit destroys the interference pattern.
The trade itself hasn’t changed; your observation changed how you interact with it, which changes the outcome.
Final Thoughts:
Traders, you know what I’m talking about — in a demo, you can leave your strategy untouched for days, weeks, even months.
The moment it goes live, you start checking too often, micromanaging your trades, and suddenly your observation is affecting the outcome
I develop and code custom trading strategies, automation tools and custom software across multiple platforms and languages, including TradingView (Pine Script), MetaTrader 5 (MQL5), Python and other modern development frameworks.
Looking for a quantitative developer role.
I can turn trading strategies into fully functional systems.
Extensive experience with Linux (Gentoo, Debian) and Unix systems (FreeBSD, OpenBSD)
I’m available for projects.
You can ask for me directly in the Freelance section.
How Observation Changes Outcomes :
In quantum mechanics, when light (or electrons) passes through two slits, it creates an interference pattern on the screen behind them.
Each particle seems to go through both slits at once, existing in a super position of all possible paths and the resulting pattern reflects the probabilities of where the particle could land.
If you try to measure which slit the particle goes through, the interference pattern disappears.
Observing the particle forces it into a definite state - it goes through one slit or the other.
The act of measurement collapses the wave function and fundamentally changes the outcome.
Before you check a trade, it’s in super position.
From a statistical perspective, your trade has a probability of winning or losing based on your system but you don’t yet know the outcome.
The trade is evolving naturally, just like a quantum system.
The moment you look at it, your observation collapses the “trade wave function” into a definite state - good or bad, winning or losing.
That observation triggers an emotional reaction — stress, fear, or overconfidence—which can cause you to break your plan, over-leverage, or revenge trade.
Just like in quantum mechanics, the act of measurement affects the system.
If you hadn’t looked, the system would have continued evolving naturally and you would have followed your plan without emotional interference.
This analogy mirrors the quantum concept perfectly - observation changes the outcome, not because the market changed, but because your interaction with it changed your behavior.
In other words, checking too often destroys the natural probabilistic outcome of your system, just like measuring the slit destroys the interference pattern.
The trade itself hasn’t changed; your observation changed how you interact with it, which changes the outcome.
Final Thoughts:
Traders, you know what I’m talking about — in a demo, you can leave your strategy untouched for days, weeks, even months.
The moment it goes live, you start checking too often, micromanaging your trades, and suddenly your observation is affecting the outcome
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.
Jason Smith
Thought of the day - Terminator
The survivors of the nuclear fire called the war Judgment Day.
They lived only to face a new nightmare: the war against the machines.
Those who endured the apocalypse emerged into a world where civilization had collapsed, and an even greater nightmare awaited them.
The machines, led by Skynet, relentlessly hunted the remnants of humanity.
Survival no longer meant rebuilding—it meant fighting a tireless, merciless enemy in a desperate war for the future of the human race.
The survivors of the nuclear fire called the war Judgment Day.
They lived only to face a new nightmare: the war against the machines.
Those who endured the apocalypse emerged into a world where civilization had collapsed, and an even greater nightmare awaited them.
The machines, led by Skynet, relentlessly hunted the remnants of humanity.
Survival no longer meant rebuilding—it meant fighting a tireless, merciless enemy in a desperate war for the future of the human race.
Jason Smith
2026.07.17
Compassion has given way to greed, truth has been buried beneath deception, and conscience has been overshadowed by ambition. We have built systems capable of extraordinary progress, yet too often they are used to exploit, manipulate, and wage destruction rather than uplift humanity.
Jason Smith
2026.07.17
The privileged few have become disconnected from humanity. Shielded by wealth, power, and influence, they can lose sight of the struggles and realities faced by ordinary people.
Jason Smith
Markov Matrix - GBP-JPY
Only bots can ride trends like this.
Entry 14/7/2026 08:44 GMT
Exit 15/7/2026 19:43 GMT
One mini-lot buy position. Profit 133 USD.
A big win for the system:
Its five largest losing trades this week are just, $27, $24, $17, $16, and $15.
Running across all 28 Forex pairs.
Designed to make trading simple—targeting around $200 per week from a 2-mini-lot base using the system's scaling down multipliers.
Equity peaked at $350, with the majority of positions consisting of just one mini lot or micro lots.
Only bots can ride trends like this.
Entry 14/7/2026 08:44 GMT
Exit 15/7/2026 19:43 GMT
One mini-lot buy position. Profit 133 USD.
A big win for the system:
Its five largest losing trades this week are just, $27, $24, $17, $16, and $15.
Running across all 28 Forex pairs.
Designed to make trading simple—targeting around $200 per week from a 2-mini-lot base using the system's scaling down multipliers.
Equity peaked at $350, with the majority of positions consisting of just one mini lot or micro lots.
· 1
Jason Smith
Thought of the day - Strategies peak before they fail.
I get in and out before the peak, taking a consistent smaller profit.
Then reset for the next trading week.
Others chase the peak and get wiped out.
This is exactly how professionals think.
If you understand this concept, you're already ahead of the vast majority of retail traders.
I get in and out before the peak, taking a consistent smaller profit.
Then reset for the next trading week.
Others chase the peak and get wiped out.
This is exactly how professionals think.
If you understand this concept, you're already ahead of the vast majority of retail traders.
Jason Smith
EUR/USD D1 candles.
High-quality entries aren't difficult to find—the real edge comes from having the patience to wait for them.
High-quality entries aren't difficult to find—the real edge comes from having the patience to wait for them.
Jason Smith
2026.07.14
I may be releasing the Bull & Bear Pip Counter soon as a free indicator. Stay tuned.
Jason Smith
Markov Matrix a rare one of kind system -
A Markov matrix is a mathematical structure used to model systems that move from one state to another, where the next state depends only on the current state—not on the full history.
It is fundamental in probability, machine learning, finance, game theory, and quantitative trading.
Relatively few people understand how powerful it is.
In quantitative trading -
The mathematics behind Markov chains is standard knowledge.
What firms keep secret is how they define the market states and how they combine Markov models with other signals.
Its proprietary architecture transforms the Markov Matrix into a complete decision-making model, engineered through a unique methodology that cannot be replicated without a deep understanding of its underlying design.
This alone makes it an exciting, one-of-a-kind, and ultra-rare trading system unlike anything else available.
A Markov matrix is a mathematical structure used to model systems that move from one state to another, where the next state depends only on the current state—not on the full history.
It is fundamental in probability, machine learning, finance, game theory, and quantitative trading.
Relatively few people understand how powerful it is.
In quantitative trading -
The mathematics behind Markov chains is standard knowledge.
What firms keep secret is how they define the market states and how they combine Markov models with other signals.
Its proprietary architecture transforms the Markov Matrix into a complete decision-making model, engineered through a unique methodology that cannot be replicated without a deep understanding of its underlying design.
This alone makes it an exciting, one-of-a-kind, and ultra-rare trading system unlike anything else available.
Jason Smith
2026.07.14
The system has been engineered to scale efficiently while maintaining controlled drawdown. Based on the current scaling model, a 2-mini-lot base is targeting approximately $200–$300 per week, while a 6-mini-lot base is targeting around $500–$600 per week. Scaling to a 1-lot base is projected to target around $1,000 per week, subject to market conditions and continued forward-testing. A key feature of the system is its dynamic position management. Rather than relying on conventional take-profit and stop-loss orders, the close-on-hold mechanism continuously manages balance and risk. Losses are kept in line while profits are allowed to accumulate as unrealised gains until the strategy determines the optimal exit. The focus is not on chasing high-risk returns, but on building a scalable, disciplined trading system backed by verified long-term performance.
Jason Smith
Markov Oil Trades this week
· 2
Jason Smith
2026.07.14
The 0.5 trade size is the broker's minimum lot size. That's why you don't see smaller multipliers—the base position is 2 mini lots, but the smallest trade the broker allows is 0.5 lots.
Jason Smith
Markov – Week Starting 13/07/2026
This trading week, which the bots began at 2:00 AM GMT on 13/07/2026, currently shows a realised balance loss of $13 while maintaining a healthy unrealised profit. $206
The base is 2 Mini. It has multipliers, but it never exceeds the baseline.
This trading week, which the bots began at 2:00 AM GMT on 13/07/2026, currently shows a realised balance loss of $13 while maintaining a healthy unrealised profit. $206
The base is 2 Mini. It has multipliers, but it never exceeds the baseline.