Yashar Seyyedin / Profile

AI is the best teacher, It is even saying when you should re-optimize!

One advantage of testing with normal strategies on MetaTrader is when you get a good result you have some idea to capture why it is performing good and reject problematic backtests. This will not work with ML-driven solutions... Everything is a blackbox. All you can do is trust it is splitting data correctly during cross validation and hopefully it is not ovefit. Am I right? Does anyone has an idea?

Something really annoying about academic approach to real world problems is "The academician does not even understand the problem..."
Here you see a LSTM approach to predicting price. It is like saying "OK... today price is 100USD so probably tomorrow will be around 100USD"
Absolutely useless for a trader.

A fundamental difference between the problems solved by AI and the problem of financial markets is that those problems were solved by humans in the past and now automation has been transferred to computers. Whereas the problem of trading is an unsolved problem... The fact that someone has a positive account does not in any way mean that they have solved the financial markets.

Five years ago, programming was a safe path and trading was a little dopamine. Today, trading is the only path.

Something I realized by intuition turned out to be correct. The more optimization parameters you have the more overfit risk you are exposed to, unless you have enough train data.
Although I am still on my word... when you cannot prove that the system applies to your chart, anything is overfit.

Left feedback to customer for job Update existing EA

Considering markets have discrete structure it does not make sense to read it solely relying on continuous averages. We have to move to discrete ideas.

Here I am sharing the ups and down with my 20K challenge. Three months and a half passed and I am hardly at half point.

The success story of individuals and making money from prop firms is an exaggerated and unreliable story that has been promoted on social networks for many years. Many traders, through trial and error, endure successive failures in these challenges to access and earn money from funded accounts. This procedure is generally used by traders who do not have enough confidence in their trading systems.
In many cases, they may even make a profit, but this type of success is completely random. That is, a sequence of failures lead to a point where it is no longer possible to continue this game in the hope of winning. A successful trader may fail one out of every ten attempts he makes at challenges, but having one or two failures out of three attempts completely jeopardizes your success. A number of failures can easily bring you to a point of no return where you join the group of traders who are forced to leave the market before success.

In fact, we should accept the harsh truth that props hate profitable traders. Because they neither loose the challenge fee nor they make that much money that can bring a change for them which mostly rely on challenge sales. If you are concerned to go beyond trading personal capital you should think of another solution I guess.

I cannot edit or delete posts on my wall... Do you also have the same problem? Is there a maintenance going on?

That volume is showing something:

Here is my showcase project as a web developer.
You can check the github repo for source code: https://github.com/yasharseyyedin-a11y/messenger-project
Also there is illustration on upwork: https://www.upwork.com/freelancers/~0169759d56a4a0dc91?p=1994305529700442112


Messenger Project:

-- Developed a scalable, modular real-time messaging application using Django for the backend and Angular for the responsive frontend.

-- The system features secure JWT-based API authentication.

-- Integrates OAuth with Gmail API to enable automated email confirmation for new user registrations.

-- Implemented a comprehensive real-time notification system, supporting user interactions such as friend requests, acceptances, and rejections with immediate updates via WebSockets.

-- Messaging includes "seen" and "unseen" status indicators for improved user experience.

-- Secured WebSocket connections through custom middleware to ensure safe delivery of real-time data.

-- The frontend utilizes Angular with RxJS to manage asynchronous data streams efficiently, enabling smooth UI responsiveness across devices.

-- The project architecture emphasizes modularity and maintainability, allowing easy scaling and iterative enhancements to meet evolving user needs and application features.

In this chart you see several times the sellers tried to break below the latest low and every time they failed to reverse the trend... To avoid too soon entries one can wait for several of these pressure boxes...

Isn't it funny that MetaTrader is using SMTP with naked passwords and it is still a reputable platform?

Artificial intelligence is as much a threat to highly skilled programmers as it is to novice programmers... In a situation where an average programmer with access to AI tools can achieve the same level of productivity as a highly skilled programmer, hiring highly skilled programmers who claim excellent salaries and benefits is not accepted by any employer.

Holding USDCHF around NFP should be less trouble than GBPUSD.

People who make profits every single week should be aliens.

A simple way to identify a successful trader (without having to call them directly and ask for their trading history) is to see how much they snoop into other traders' work. A profitable trader is already ahead of the 99% of traders(losers) and has no incentive to check others' work (considering others are most likely from the 99% losers).

Artificial intelligence, with all its drawbacks, has two big advantages for me. First, I don't need to put up with incompetent teachers to learn the most complex material, and second, no one can brag about their mechanical skills or vast knowledge anymore.

Good enough to be proud of: