Vivien Schmitt

Hello, my name is Vivien Schmitt, and I am an algorithmic trader. I created Artificall to help everybody want to learn automatic trading. I will give you all my knowledge and my experience in automated trading.

My professional experience

I went to “Conservatoire des Arts et Métiers”, a computing engineering school in Paris. I worked as Software Developer for three years in the bank and financial sector. After that, I worked as a production launching leader in the telecommunication sector.

I realized I should never be happy working in a big (too big) company. I decided to learn trading system development because there appears to be much potential to make money.

When I started automated trading

I did not know where to start, where I could get help. I chose to begin with market screener programming. Then I transformed the screener into an automated trading system. In the beginning, I quickly made money because I had the chance to launch my first trader bot in a favorable market. But beyond that, market conditions deteriorated, and I lost the most significant part of my earnings. I realized that my automated trading system was over-fitted.

I understood that trading system building was more complicated than I thought. There were undoubtedly some concepts that I must extend and deepen. I immediately sat myself knowing targets, management rules, and money management.

Today, I have achieved my goals. I have a good command of automatic trading conception development and backtest processes.

How much did I win at the beginning?

My first trader bot gave me 80€ by month with a start-up capital of some thousand euros. These earnings were very erratic, and this bot won almost nothing after a while.

Therefore, I decided to become the best automatic trader and make automatic trading my second job. After arduous work, weeks after weeks, months after months, I reached an automated trading system that is more stable, regular, and profitable.

Now I am an automated trading system designer on my own account. My specialty is day trading on DAX30. I earn an average of 0.5% of my capital by week.

My Track Record

Here is the performance of my automated trading system since I started:

Track Record Artificall Vivien Schmitt

How to earn regular money like me?

I can help you with your automated trading learning if you trust me. You will obtain the same result as me. However, a secret is known by all serious traders: if you want to make money thanks to manual or automatic, you must work very hard. You must persevere. It always succeeds. I will help you to pass each step until your financial independence.

Automatic investing

I work on an automatic investment system capable of building a long-term portfolio. I published the results of the first version on all the stocks listed on the NYSE and the EURONEXT Paris marketplaces:

The Robo-advisor launched on these stocks implements an investment strategy from a long-term perspective. It does not try to beat the market.

It has the main goal of preventing the excessive volatility phases of the market. A portfolio built using our Robo-advisor should be less volatile than its benchmark index. The beta of a portfolio built using our Robo-advisor should be below 1, habitually near 0.9.

The Robo-advisor will be available for institutional and individual investors in 2022.


We should establish a joint venture if you have a large Prorealtime community and your users are interested in automated trading. You get a percentage referral fee on every trading system sold. Do not hesitate to send me an email to discuss it. 😉

Company information

I started my IT consulting company in November 2020; here is the information about it:

SIREN identifier891 823 163
SIRET identifierSIRET identifier: 891 823 163 00011
Adress8 rue Pierre Poli 92130 Issy-Les-Moulineaux
Main activityIT consulting
APE codeAPE code : 6202A – “Conseil en systèmes et logiciel informatiques”

Contact me

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    7 Pillars

    I created this free guide with the goal to help you to develop your automated trading system working on Prorealtime.