|
1 year
experience
|
22
products
|
15
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, C, C++, PHP, JavaScript, Java, 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 on Freelancer
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 superposition 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 superposition.
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, C, C++, PHP, JavaScript, Java, 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 on Freelancer
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 superposition 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 superposition.
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
Pro15 now includes powerful new features. New look. (update coming soon)
This EA automatically generates its own support and resistance (SR) levels, along with marking the daily open and key session start levels.
This EA automatically generates its own support and resistance (SR) levels, along with marking the daily open and key session start levels.
Jason Smith
Result screams one thing immediately: the profit is huge, but the risk profile is extremely dangerous.
Let’s break down what you’re actually seeing behind that “$82.5M profit” headline.🔴
The Real Problem:
Massive Floating Loss -
Its clearly visible in the stats:
Equity Drawdown Maximal: ~25.71%
Equity Drawdown Relative: ~46.95% (~$164,791)
Balance vs Equity gap = BIG floating loss
This means -
Your balance looks amazing But your equity (real money if closed) drops heavily during trades
This is classic behavior of:
Grid systems Martingale / recovery strategies.
No hard stop loss logic
Let’s break down what you’re actually seeing behind that “$82.5M profit” headline.🔴
The Real Problem:
Massive Floating Loss -
Its clearly visible in the stats:
Equity Drawdown Maximal: ~25.71%
Equity Drawdown Relative: ~46.95% (~$164,791)
Balance vs Equity gap = BIG floating loss
This means -
Your balance looks amazing But your equity (real money if closed) drops heavily during trades
This is classic behavior of:
Grid systems Martingale / recovery strategies.
No hard stop loss logic
Jason Smith
It’s hard to stay motivated when you put in real work and go unnoticed, while complete noobs with almost zero skill get all the exposure.
Just monitor the forum—what people say is outrageous.
These aren’t traders; they’re advertisers.
Half of them don’t have a clue—they just paste AI responses, and what makes it worse is they don’t even seem to understand what they’re pasting.
Ask them something simple, like how to tie your laces, and they’ll give you a full lecture on what the laces are made of and how to manufacture them.
Just monitor the forum—what people say is outrageous.
These aren’t traders; they’re advertisers.
Half of them don’t have a clue—they just paste AI responses, and what makes it worse is they don’t even seem to understand what they’re pasting.
Ask them something simple, like how to tie your laces, and they’ll give you a full lecture on what the laces are made of and how to manufacture them.
Jason Smith
Uanchors—the bot the 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.
Buy and sell signals are triggered when price crosses predefined thresholds relative to this anchor.
Traders can set separate thresholds for buy and sell signals, and the Inverse feature allows the EA to flip these signals, executing contrarian trades if desired.
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.
Buy and sell signals are triggered when price crosses predefined thresholds relative to this anchor.
Traders can set separate thresholds for buy and sell signals, and the Inverse feature allows the EA to flip these signals, executing contrarian trades if desired.
Jason Smith
Exceptional Trading Performance –
Unmatched ProfitsBack test Results (5 Years, 4,000 Trades)With an almost 70% strike rate and a profit factor of 6.79, this bot proves to be impressive and highly profitable.
Profit Factor (PF): 6.79 – Every $1 lost generates $6.79 in profit.
Low Drawdown: – Minimal risk, maximum capital preservation.1:6 + – Designed for long-term profitability.
Is there something I’m missing here?
My EA has had around 40 demo downloads, while lower-quality tools seem to get hundreds or even thousands.
I’m trying to understand what I might be overlooking.
Can anyone explain how visibility works on this marketplace, or why some products gain traction while others don’t?
Right now it feels like I’m not getting any exposure at all.
I’d genuinely appreciate any insight, because at the moment I’m questioning what the point is of even being here.
I’ve even shared a video showing the performance—over $200k profit across 5 years—and still haven’t made a single sale.
That makes me feel like I must be missing something, because the data is real.
Unmatched ProfitsBack test Results (5 Years, 4,000 Trades)With an almost 70% strike rate and a profit factor of 6.79, this bot proves to be impressive and highly profitable.
Profit Factor (PF): 6.79 – Every $1 lost generates $6.79 in profit.
Low Drawdown: – Minimal risk, maximum capital preservation.1:6 + – Designed for long-term profitability.
Is there something I’m missing here?
My EA has had around 40 demo downloads, while lower-quality tools seem to get hundreds or even thousands.
I’m trying to understand what I might be overlooking.
Can anyone explain how visibility works on this marketplace, or why some products gain traction while others don’t?
Right now it feels like I’m not getting any exposure at all.
I’d genuinely appreciate any insight, because at the moment I’m questioning what the point is of even being here.
I’ve even shared a video showing the performance—over $200k profit across 5 years—and still haven’t made a single sale.
That makes me feel like I must be missing something, because the data is real.
Jason Smith
2026.04.07
I think I’m going to log off for now before I say something I regret. I’m feeling pretty frustrated with the marketplace and struggling to see how some of the other sellers are getting so much traction.
Bans with no clear explanation. Five-star reviews not showing. Even four-star reviews hidden just because the product moved from free to premium. It’s honestly outrageous.
Bans with no clear explanation. Five-star reviews not showing. Even four-star reviews hidden just because the product moved from free to premium. It’s honestly outrageous.
Jason Smith
2026.04.07
The moderators have taken over the forum, spreading low-quality information and outright misinformation. Shame on them.
The other day, they claimed that all EAs on this platform are useless and that you should only buy from active forum members. Yet, if I try to participate—even just answering a question about random things. Even showing music i listen to when they do a poll — I get banned for “self-promotion.” Is this marketplace truly fair, or is it rigged?
If your trying to become a seller. Don't bother
The other day, they claimed that all EAs on this platform are useless and that you should only buy from active forum members. Yet, if I try to participate—even just answering a question about random things. Even showing music i listen to when they do a poll — I get banned for “self-promotion.” Is this marketplace truly fair, or is it rigged?
If your trying to become a seller. Don't bother
Jason Smith
Got a new product coming out.
MT5 Data Export Script -
This is a MQL5 script that exports historical price data from MetaTrader 5 to CSV files.
It's used to download OHLCV data for multiple symbols and multiple years at once.
MT5 Data Export Script -
This is a MQL5 script that exports historical price data from MetaTrader 5 to CSV files.
It's used to download OHLCV data for multiple symbols and multiple years at once.
Jason Smith
Call Of Duty 6 - Online gaming.
Jason Smith
2026.04.04
Treat your men as you would your own beloved sons, and they will follow you into the deepest valley.— Sun Tzu
Jason Smith
2026.04.04
Every step forward could trigger hidden dangers — you walk carefully because betrayal is everywhere.
Recognize manipulation and treachery before it reaches the battlefield — sometimes the best defense is awareness. In fact I think we'd be fooling ourselves.
If we had an audience this large and didn't realize that there were some enemies present
Recognize manipulation and treachery before it reaches the battlefield — sometimes the best defense is awareness. In fact I think we'd be fooling ourselves.
If we had an audience this large and didn't realize that there were some enemies present
Jason Smith
Ngrok tunneling - Connecting to Python Shell
Ngrok creates a public URL that tunnels to your local Python application.
Anyone with that URL can access your local server from anywhere.
How It Works -
Your Python app runs on localhost port 54992.
Only your computer can access it.
Ngrok creates a tunnel from a public URL (like https://abc123.ngrok.io ) to your local port 54992.
When someone visits that URL, ngrok forwards the traffic to your Python app.
Ngrok creates a public URL that tunnels to your local Python application.
Anyone with that URL can access your local server from anywhere.
How It Works -
Your Python app runs on localhost port 54992.
Only your computer can access it.
Ngrok creates a tunnel from a public URL (like https://abc123.ngrok.io ) to your local port 54992.
When someone visits that URL, ngrok forwards the traffic to your Python app.
Jason Smith
2026.04.04
The Python dashboard runs in one shell, ngrok runs in another shell, and a browser connects remotely.
Jason Smith
Rear view -
The new-shape R6 is seriously fast — 100% quicker.
It comes with a quick shifter, electronic suspension, and a few other upgrades.
The rider in the picture ended up hitting 174 mph. (2017 model)
The overtake, as you can see, was just inches apart.
The new-shape R6 is seriously fast — 100% quicker.
It comes with a quick shifter, electronic suspension, and a few other upgrades.
The rider in the picture ended up hitting 174 mph. (2017 model)
The overtake, as you can see, was just inches apart.
Jason Smith
My 2014 Yamaha R6.
Top speed for me was 154 MPH.
Not far off the bike’s maximum.
Top speed for me was 154 MPH.
Not far off the bike’s maximum.
Jason Smith
2026.04.03
Never came off it, though I came close a few times.
I’ve done over 12,000 miles on this bike.
You can get a bit reckless sometimes and it definitely gets risky when you’re bored or tired.
I’ve done over 12,000 miles on this bike.
You can get a bit reckless sometimes and it definitely gets risky when you’re bored or tired.
Jason Smith
Now to Turn the HMM Dashboard into a Google Play App.
Yes it is possible and actually quite simple.
The dashboard is already a web app and Google Play accepts web apps wrapped in a simple container.
I do not need to rewrite anything.
The easiest method uses PWA technology which the dashboard already has.
You add a manifest file and a service worker, then use a tool called Bubblewrap to convert it into an APK file.
That APK file is what you upload to Google Play.
The cost is a one time twenty five dollar fee for a Google Play Developer account.
There are no other mandatory costs unless you want to host your dashboard on a server instead of running it locally.
Google will approve the app as long as you provide a privacy policy page, select the correct content rating, and do not include any misleading descriptions or malware.
The final result is a real Android app that traders can download from the Google Play Store.
It looks and feels like any other app but underneath it is just the dashboard running in a full screen web view with no browser controls showing.
Yes it is possible and actually quite simple.
The dashboard is already a web app and Google Play accepts web apps wrapped in a simple container.
I do not need to rewrite anything.
The easiest method uses PWA technology which the dashboard already has.
You add a manifest file and a service worker, then use a tool called Bubblewrap to convert it into an APK file.
That APK file is what you upload to Google Play.
The cost is a one time twenty five dollar fee for a Google Play Developer account.
There are no other mandatory costs unless you want to host your dashboard on a server instead of running it locally.
Google will approve the app as long as you provide a privacy policy page, select the correct content rating, and do not include any misleading descriptions or malware.
The final result is a real Android app that traders can download from the Google Play Store.
It looks and feels like any other app but underneath it is just the dashboard running in a full screen web view with no browser controls showing.
Jason Smith
Secured:
The latest version adds password protection so only authorized users can access the dashboard.
The dashboard updates instantly in your browser when data changes, without needing to refresh.
Rate limiting prevents brute force attacks by blocking too many rapid requests.
Sessions automatically log out after one hour of inactivity.
A production-grade server handles multiple users efficiently.
The latest version adds password protection so only authorized users can access the dashboard.
The dashboard updates instantly in your browser when data changes, without needing to refresh.
Rate limiting prevents brute force attacks by blocking too many rapid requests.
Sessions automatically log out after one hour of inactivity.
A production-grade server handles multiple users efficiently.
Jason Smith
2026.04.03
If your login is successful, you will see the dashboard just as shown below - the same full table of all 19 assets with all the colors, formatting, and real-time updates, exactly like the terminal display but in your browser.
Jason Smith
2026.04.03
Traders can pick your own asset list and a bot that can trade from the endpoint remotely.
A trading bot connects remotely to your HMM endpoints and reads the signals in real-time - Action (BUY/SELL/HOLD), Risk level, Position multiplier, Signal quality. Remote access means you can run the bot on a server, VPS, or even a Raspberry Pi, and control it from anywhere via web interface or API.
A trading bot connects remotely to your HMM endpoints and reads the signals in real-time - Action (BUY/SELL/HOLD), Risk level, Position multiplier, Signal quality. Remote access means you can run the bot on a server, VPS, or even a Raspberry Pi, and control it from anywhere via web interface or API.
Jason Smith
The HMM dashboard is running in a python shell.
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.
Tunneling with ngrok lets you expose a local server (running on your machine) to the internet through a secure public URL.
It’s commonly used for testing webhooks, demos, or sharing a local app without deploying it.
It can be accessed remotely, and the endpoints can be secured—making it ideal for subscriptions.
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.
Tunneling with ngrok lets you expose a local server (running on your machine) to the internet through a secure public URL.
It’s commonly used for testing webhooks, demos, or sharing a local app without deploying it.
It can be accessed remotely, and the endpoints can be secured—making it ideal for subscriptions.
Jason Smith
2026.04.03
Managed to get the dashboard displaying in a web browser from a Python shell.
