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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
Dashboard displays all 28 Forex Pairs.
Updated asset list to include additional instruments.
Updated asset list to include additional instruments.
Jason Smith
Let's not forget Pro15.
This is the best EA I have ever developed.
It has shown strong potential and can be highly profitable, especially when trading gold.
This is the best EA I have ever developed.
It has shown strong potential and can be highly profitable, especially when trading gold.
Jason Smith
A Standard Tool for Regime Detection:
HMMs are a mainstream technique for identifying market regimes (like trending, ranging, or high-volatility environments).
This is arguably their most common and successful use case in finance.
Many institutional and sophisticated systematic funds use them for this purpose
HMMs are a mainstream technique for identifying market regimes (like trending, ranging, or high-volatility environments).
This is arguably their most common and successful use case in finance.
Many institutional and sophisticated systematic funds use them for this purpose
Jason Smith
HMM (Hidden Markov Model) Trading System consists of an Allocator (HMM), dashboard, along with two trading bots -
One built in Python and another integrated with MT5.
The dashboard displays HMM analysis and market regime data, while both bots use this information to make trading decisions through JSON or association file for communication.
In summary, the HMM system is a sophisticated and specialized tool.
It's rare because it's hard to build, but the underlying approach — using HMMs to understand market regimes - is a proven and respected strategy in the quantitative finance community, not a fringe idea.
One built in Python and another integrated with MT5.
The dashboard displays HMM analysis and market regime data, while both bots use this information to make trading decisions through JSON or association file for communication.
In summary, the HMM system is a sophisticated and specialized tool.
It's rare because it's hard to build, but the underlying approach — using HMMs to understand market regimes - is a proven and respected strategy in the quantitative finance community, not a fringe idea.
Jason Smith
Saturday
Add any supported asset, including indices, forex, commodities, and crypto. The system analyses market conditions, identifies market regimes, and dynamically manages allocation and trading decisions.
Jason Smith
Saturday
This system is rare. While HMMs are no longer a complete secret in the retail space, the operational scale and sophistication this is running—an automated, self-updating, model-management system on MT5—places it far beyond the typical retail EA or indicator.
Jason Smith
Saturday
Note: Clicking 3 batch files runs 28 Markov instances and 28 bots simultaneously, covering all major Forex pairs. The system is fully configurable, allowing you to adjust which pairs and models are active at any time.
Even though the technology is highly sophisticated - with multi-timeframe analysis, model registries, and automated regime detection - all the hard work has already been done for you.
Simply click the 3 batch files and the system handles everything else automatically.
Even though the technology is highly sophisticated - with multi-timeframe analysis, model registries, and automated regime detection - all the hard work has already been done for you.
Simply click the 3 batch files and the system handles everything else automatically.
Jason Smith
This is the very first startup/initialization of the HMM Allocator system on DE40 (the German DAX 40 index).
This is a fresh installation — the system is initializing from scratch with no existing models or history.
This is a fresh installation — the system is initializing from scratch with no existing models or history.
Jason Smith
Summary of the SQLite database that the HMM uses.
The database is essentially the system's memory — it stores every trade, every model evaluation, and system events.
This allows the allocator to learn from past performance, detect when models are degrading, and make informed decisions about which model to trust with real capital.
The database is essentially the system's memory — it stores every trade, every model evaluation, and system events.
This allows the allocator to learn from past performance, detect when models are degrading, and make informed decisions about which model to trust with real capital.
Jason Smith
Risk-off mode until further notice.
Careful, traders — there is a lot happening right now. Stay alert, manage risk, and avoid unnecessary exposure until conditions become clearer.
Careful, traders — there is a lot happening right now. Stay alert, manage risk, and avoid unnecessary exposure until conditions become clearer.
· 1
Jason Smith
Thought of the day - Look into your own mind and see what you there find
In Stoic philosophy, the ultimate power is to master your own mind, which is the one thing you can truly control, making introspection a critical source of resilience in the face of life's challenges.
The most powerful place to seek understanding and peace is within your own mind.
In Stoic philosophy, the ultimate power is to master your own mind, which is the one thing you can truly control, making introspection a critical source of resilience in the face of life's challenges.
The most powerful place to seek understanding and peace is within your own mind.
· 1
Conor Mcnamara
Wednesday
I look into my mind sometimes and I see a theme. I started noticing that geometry is used in many things to make things work. Geometry is used in the motion of amusement rides so that the hydraulics can get away with using much less torque. It's also used in dance movement so that the dancers can keep their balance ex. The Cuban Triangle. I felt it also has a true purpose in financial markets.
Jason Smith
The whales are manipulating BTC again.
Strategy (formerly MicroStrategy) is 100% coordinated with their billionaire buddies.
Traders, believe me when I say: Bitcoin is bullish.
BTC is a slush fund for the elites.
The reconstruction of [G****] is going to need a trillion dollars or more.
[H****] are stepping down, leaving the entire area under the control of Board [of *****].
Grab a good price while you can.
When acquiring coins, ignore the noise. It's a bull market.
Strategy (formerly MicroStrategy) is 100% coordinated with their billionaire buddies.
Traders, believe me when I say: Bitcoin is bullish.
BTC is a slush fund for the elites.
The reconstruction of [G****] is going to need a trillion dollars or more.
[H****] are stepping down, leaving the entire area under the control of Board [of *****].
Grab a good price while you can.
When acquiring coins, ignore the noise. It's a bull market.
· 2
Show all comments (4)
Jason Smith
Wednesday
If you're on Kraken, stick to limit orders—avoid the market buttons. You will get slipped to hell.
Jason Smith
Thought of the day - Happiness in your life depends upon the quality of your thoughts.
You have power over your mind — not outside events.
Realize this, and you will find strength.
Marcus Aurelius.
You have power over your mind — not outside events.
Realize this, and you will find strength.
Marcus Aurelius.
· 2
Jason Smith
Markov Matrix –
The strategy has experienced some losing trades this week, but overall it remains 90 dollars ahead on balance.
In addition, there is currently a healthy unrealized profit, leaving the system in a strong position.
The strategy has experienced some losing trades this week, but overall it remains 90 dollars ahead on balance.
In addition, there is currently a healthy unrealized profit, leaving the system in a strong position.
· 1
Jason Smith
New features - Markov Matrix
The Markov model generates three core signals : buy, sell, and hold – plus a flip signal for directional changes.
When the system is currently in a buy or sell position and a hold signal comes in.
NOTE the image below.
The close on hold is very useful feature for risk managment.
The flip signal is the most aggressive – it tells the system to completely reverse direction, exiting the current position and entering the opposite side.
Full training and 100% support are included every step of the way.
I will guide you through the complete installation process and share everything I know about the system, backed by an in-depth PDF guide covering its features, setup, and operation.
I built this system from the ground up, know every part of the code, and understand all of its capabilities.
Even a complete beginner should be able to have it installed and running within 24 hours.
Over time, you will become as familiar with the system as I am.
It is designed not only to provide a powerful tool but also to help you learn, develop your understanding
The Markov model generates three core signals : buy, sell, and hold – plus a flip signal for directional changes.
When the system is currently in a buy or sell position and a hold signal comes in.
NOTE the image below.
The close on hold is very useful feature for risk managment.
The flip signal is the most aggressive – it tells the system to completely reverse direction, exiting the current position and entering the opposite side.
Full training and 100% support are included every step of the way.
I will guide you through the complete installation process and share everything I know about the system, backed by an in-depth PDF guide covering its features, setup, and operation.
I built this system from the ground up, know every part of the code, and understand all of its capabilities.
Even a complete beginner should be able to have it installed and running within 24 hours.
Over time, you will become as familiar with the system as I am.
It is designed not only to provide a powerful tool but also to help you learn, develop your understanding
Jason Smith
HMM (Hidden Markov Model) Gold -
The system ran its full multi-timeframe consensus across H4, D1, W1, M15, M30, H1, and M5.H4 came back as a strong downtrend, while most other timeframes showed neutral, weak uptrend, or high volatility.
Eleven features were calculated without issue.
A new challenger model was trained but rejected with a Sharpe ratio of -0.53 – well below the acceptance threshold.
The overall regime was confirmed as a strong downtrend, now entering its third cycle.
Alignment hit 100%, with zero up signals, two down signals, and five neutral readings.
Risk was assessed as elevated, so the system took a HOLD action – no new positions were opened.
A drift adjustment was applied, cutting the position from 0.05 micro down to 0.02 – a 50% reduction.
With the final multiplier applied, total exposure landed at just 25%.
Bottom line: XAUUSD is in a strong downtrend with elevated risk, the system held off opening a sell trade, and exposure was slashed by 75% from baseline.
Baseline is 1 mini lot, the drift adjustment and other factors applied a 75% reduction, bringing exposure down to just 0.02 micro lots.
The system ran its full multi-timeframe consensus across H4, D1, W1, M15, M30, H1, and M5.H4 came back as a strong downtrend, while most other timeframes showed neutral, weak uptrend, or high volatility.
Eleven features were calculated without issue.
A new challenger model was trained but rejected with a Sharpe ratio of -0.53 – well below the acceptance threshold.
The overall regime was confirmed as a strong downtrend, now entering its third cycle.
Alignment hit 100%, with zero up signals, two down signals, and five neutral readings.
Risk was assessed as elevated, so the system took a HOLD action – no new positions were opened.
A drift adjustment was applied, cutting the position from 0.05 micro down to 0.02 – a 50% reduction.
With the final multiplier applied, total exposure landed at just 25%.
Bottom line: XAUUSD is in a strong downtrend with elevated risk, the system held off opening a sell trade, and exposure was slashed by 75% from baseline.
Baseline is 1 mini lot, the drift adjustment and other factors applied a 75% reduction, bringing exposure down to just 0.02 micro lots.
Jason Smith
Up, up, and away—Bitcoin to the skies. Slush fund or not, today's news has the bulls charging.
The $100K+ target is back in the conversation.
Whether it happens next few months or later in the cycle, the momentum and narrative are building.
As always, price will have the final say.
#Bitcoin #BTC #Crypto #BullMarket
The $100K+ target is back in the conversation.
Whether it happens next few months or later in the cycle, the momentum and narrative are building.
As always, price will have the final say.
#Bitcoin #BTC #Crypto #BullMarket
Jason Smith
This is my new website, though I’ve recently lost some motivation.
It can be difficult to stay motivated when your work isn’t getting the attention it deserves.
I’m open to collaborating with someone who can help take this to the next level, potentially offering up to a 50% share.
If you have experience in marketing and think you can help grow this product, feel free to get in touch.
One of the standout features of this system is its dynamic position sizing.
It doesn't just give you a simple buy, sell or hold signal – it actively adjusts how much you risk based on real-time market conditions.
In the AUDNZD cycle, it applied a 60% multiplier with elevated risk – willing to take a decent position but leaving room for caution.
In contrast, the earlier AUS200 cycle saw a canary alert trigger a 50% position cut, reducing exposure all the way down to just 10%.
Scaling up when confidence is high.
Slashing when danger is detected.
That's what separates this system from the rigid, one-size-fits-all strategies out there.
It can be difficult to stay motivated when your work isn’t getting the attention it deserves.
I’m open to collaborating with someone who can help take this to the next level, potentially offering up to a 50% share.
If you have experience in marketing and think you can help grow this product, feel free to get in touch.
One of the standout features of this system is its dynamic position sizing.
It doesn't just give you a simple buy, sell or hold signal – it actively adjusts how much you risk based on real-time market conditions.
In the AUDNZD cycle, it applied a 60% multiplier with elevated risk – willing to take a decent position but leaving room for caution.
In contrast, the earlier AUS200 cycle saw a canary alert trigger a 50% position cut, reducing exposure all the way down to just 10%.
Scaling up when confidence is high.
Slashing when danger is detected.
That's what separates this system from the rigid, one-size-fits-all strategies out there.
Jason Smith
2026.07.06
The base position size is 2 mini lots, but this is fully configurable. The system will never trade above the defined maximum size.
Jason Smith
model d2213356 successfully graduated from shadow to canary after 10 cycles of observation, meaning it's now ready for limited live deployment.
AUDNZD is showing a strong uptrend that's been running for 2 cycles now, with perfect 100% alignment across all timeframes.
Risk is assessed as elevated, but the system is still taking a buy signal with a 60% position multiplier, keeping some room for caution.
System is confident, promoted a new model, and is taking a measured buy position.
AUDNZD is showing a strong uptrend that's been running for 2 cycles now, with perfect 100% alignment across all timeframes.
Risk is assessed as elevated, but the system is still taking a buy signal with a 60% position multiplier, keeping some room for caution.
System is confident, promoted a new model, and is taking a measured buy position.
Jason Smith
2026.07.06
This system is for sale -
A rare, original strategy built from the ground up with a refined, elite-level design. Created for traders who want a real edge.
A rare, original strategy built from the ground up with a refined, elite-level design. Created for traders who want a real edge.
Jason Smith
2026.07.06
This operates in just three clicks, using batch files to launch the Markov (The Allocator), the dashboard, and the Python bot.
Jason Smith
The trading system is running its 10th analysis cycle for the Australian stock index (AUS200), and it's basically doing a multi‑timeframe health check before deciding what to do.
It looks at several timeframes (from daily down to 5‑minute charts) to get a consensus, and most are neutral, though the 15‑minute shows a weak downtrend and the 5‑minute a weak uptrend—so nothing decisive.
The system then builds and tests a new "challenger" trading model, which performs well enough to be accepted, but it's put into a 10‑cycle "shadow mode" to be observed rather than used immediately.
The real action is a CANARY alert: the system detects a drift (statistical change) in the data for AUS200, with a high divergence (100% disagreement) and a KL score of 14.4, which is a red flag.
As a defensive measure, it cuts the position size by 50%—so the allocation drops from 0.16 to 0.084, and after an additional 10% multiplier, the final exposure is only 10% of normal.
Despite the drift, the overall risk is judged as "NORMAL" and the action is "HOLD" (no new trades), meaning the system is staying put but with much smaller stakes until it gets more confidence that the market behaviour has stabilised.
In short: the system spotted something unusual in the data, got cautious, slashed its position, and is now watching and waiting.
The AI models have been learning continuously refining their performance and adapting to market conditions.
It looks at several timeframes (from daily down to 5‑minute charts) to get a consensus, and most are neutral, though the 15‑minute shows a weak downtrend and the 5‑minute a weak uptrend—so nothing decisive.
The system then builds and tests a new "challenger" trading model, which performs well enough to be accepted, but it's put into a 10‑cycle "shadow mode" to be observed rather than used immediately.
The real action is a CANARY alert: the system detects a drift (statistical change) in the data for AUS200, with a high divergence (100% disagreement) and a KL score of 14.4, which is a red flag.
As a defensive measure, it cuts the position size by 50%—so the allocation drops from 0.16 to 0.084, and after an additional 10% multiplier, the final exposure is only 10% of normal.
Despite the drift, the overall risk is judged as "NORMAL" and the action is "HOLD" (no new trades), meaning the system is staying put but with much smaller stakes until it gets more confidence that the market behaviour has stabilised.
In short: the system spotted something unusual in the data, got cautious, slashed its position, and is now watching and waiting.
The AI models have been learning continuously refining their performance and adapting to market conditions.
Jason Smith
HMM (Hidden Markov Model)Markov went live at 2:00 AM GMT (demo account) for the start of the new trading week.
These are the results so far.
The models have been learning for approximately four months.
These are the results so far.
The models have been learning for approximately four months.