DiNapoli AI Artificial Intelligence

POLISH PROJECT | POLISH DINAPOLI EXPERTS AND TECHNOLOGY SPECIALISTS | POLISH CLOUD AND CYBERSPACE

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Mission

Project DiNapoli AI launched in late 2019 with a mission to employ the potential of artificial intelligence to support trading based on DiNapoli Levels. Project is entirely developed in Poland by technology specialists and polish DiNapoli experts. The outcome of this project such as: tools and new solutions is addressed to the global DiNapoli traders community. The core of the project are two disruptive technologies: cloud computing and artificial intelligence. Since 2020, we have managed to reach collaborative intelligence status, where traders work together with AI in one team. Project received no external funding. Made by traders for traders.

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Collaborative intelligence

Role of technology

Everything is developed in the cloud environment where artificial intelligence scans worldwide financial markets and where the data is generated. Dedicated team of data center engineers maintain and monitor the cloud environment on a daily basis. All data generated in the cloud is protected against accidental loss, leak and unauthorized access.

CyberSecurity

Cloud environment is convenient for project development for many reasons, but on the other hand it also imposes strict cybersecurity counter measures. We are aware of the potential threats and adversarial activity, hence we already put a number of security controls in place.


Here are some of them:

● recurrent penetration tests against all entities in our cloud environment

● symmetric encryption of the critical data (AES 256 bits)

● monitoring and inspecting all connections and access to the cloud

● deployment of the firewall, that automatically blocks connections from more than 15k IP addresses with confirmed bad reputation

● recording all cyberattacks attempts and blocking their sources

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The Railroad Track (RRT) weekly report (paid subscription)

US stocks, commodities and forex

First commercial spin off from the DiNapoli AI project. Product made thanks to collaborative intelligence (Artificial Intelligence and traders in one team). All RRT patterns are depicted as potential trading ideas. The subscription was made for those who are interested in trading DiNapoli’s directional indicators. There are two issues: worldwide with US stocks, commodities' markets and forex and the Polish issue inc. Warsaw Stock Exchange.

Final reports contain relatively diversified RRT patterns in terms of their shape and fundamental background. Subscribers can choose from a variety of proposed RRT patterns taking into consideration their own trading preferences, current market view and own experience. For beginners, it is a good opportunity to gain new skills in recognizing RRT patterns in the real market.

What is the role of AI? Why do we need it?

Directional indicators do not appear on charts every day. Scheduled daily or weekly manual searches probably would be a tedious job. That is why artificial intelligence comes into place with its ultra-fast search capability. AI can reduce the RRT search time from hours to minutes. AI scanner based on convolutional neural network has been taught by us how to recognize RRT patterns that have recently appeared all across the markets.

What is a human trader's contribution to this project?

Artificial intelligence regardless of its knowledge related to DiNapol directional indicators and data processing speed, still makes mistakes. That is why the role of the human trader is so significant. Overall, it is difficult to replace real human trading experience with a machine. We are aware of that, hence we decided to focus more on cooperation with the machine instead of teaching the machine. In our project the human trader finally makes the decision which RRT patterns should be potentially recommended to trade.

How it works - connecting the dots

1. OHLC / EOD market data are downloaded into cloud

2. OHLC ticker's data are transformed into a bar chart

3. Chart is transformed into a matrix (an array of numbers)

4. Matrix enters to the pre-trained neural network for the analysis process

5. Convolutional neural network tries to evaluate if the RRT pattern is present on the chart

6. All charts with the high RRT probability go into a preliminary report

7. The team of Polish DiNapoli experts conducts an analysis based on the AI findings

8. All selected by DiNapoli experts RRT patterns go into the final report.

Click on the image below

See our artificial intelligence in action

Just have a look how AI conducts its own analysis within a cloud environment. Scanning the Nasdaq with 3727 tickers took less than 4 min. As a result, AI has preliminary recognized 47 potential RRT patterns for further analysis by human traders.

Watch the video

What are Future plans for the project?

During the first year of our project we have managed to build RRT scanner in the cloud. Currently, we are continuing the training process of the neural network for better RRT recognition.Simultaneously, we try to analyze directional indicators with traditional machine learning. We want to know if it is possible to find unique traits determining success of the DiNapoli’s directional indicator pattern while it is still developing on the chart.

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DiNapoli AI RRT Report

DiNapoli AI RRT Report

DiNapoli AI RRT Report

Can I try it out?

Yes, you can. There is a possibility to obtain the last four consecutive issues of the RRT report if you decide to support our project with a small donation. This is an ideal solution in case you want to have a look on our reports outside a standard price list.

Donate the project while on free trial.

Project received no external funding. Made by traders for traders.

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Our team

Piotr Grela

DiNapoli Expert

Paweł Besler

DiNapoli Expert

His adventure with DiNapoli's Levels began with training with Piotr Grela. Since then he has been exploring DiNapoli's techniques practically every day. In years 2014-2016 he participated in three Advanced Private Seminars with Joe DiNapoli and two with Pieter Van Wyk.


In cooperation with Piotr Grela, Pieter Van Wyk and Joe DiNapoli he managed to create a trading plan called "Ping Pong Trade".

In 2019 Joe named Pawel “DiNapoli Expert”.


When Michał Tys told him about Artificial Intelligence project, he knew it was necessary for him to get down to work on it. The results exceeded his expectations. Traders do not have to spend so much time anymore looking for the right setups to trade. Time of selection has been reduced to a minimum.

• Active Trader in the futures’, equity and forex markets for already 25 years

• DiNapoli Expert and Authorized Trainer for over 15 years

• Conducting Private Seminars for those interested in learning DiNapoli's techniques

• The first Polish Trader ever to conduct workshop during the prestigious The Traders' Expo in New York in February 2016

• Conducting presentations during MoneyExpo Trading in Prague in 2015, ForexExpo in Moscow in 2015, in London in 2013 during The World Money Show in London - next to such recognized Traders as John Bollinger and Jim Rogers

• The first Polish Trader ever to conduct training class during the prestigious The Traders' Expo in London, in March 2012 

• Publisher of the weekly report on financial markets "MasterSwingNewsletter" for already 10 years 

Tomasz Augustynowicz

DiNapoli Expert

My passion and adventure with financial market started during the early high school years when I saw the beginnings of the Warsaw Stock Exchange. Having searched among different trading methodologies, I came across the TWTL Book and found out about the Joe DiNapoli investment strategies. I went through an excessive education path and attended the meetings with Piotr Grela who is a Polish expert on DiNapoli methodology. My first chance to meet Joe DiNapoli was during his visit to Poland in 2011. I took part in his standard and advanced seminars participated both seminars twice, 2017 spring and I had a pleasure to attend the joint Joe & Pieter seminar that took place at Joe's house in Sarasota, Florida, USA. What’s more, I also had a chance to practice live trading with Peiter van Wyk and participate “Trading Professionally” seminar offered by Tony DiNatale. Workshops on forum together and MSN & DLFF subscriptions helped me to understand the method better.

Michał Tys

Tech Lead

Michal has designed and built the entire backend technology of the DiNapoli AI project: artificial intelligence, cloud environment and the cybersecurity layer.

As an IT professional with 15yrs+ international experience he has earned an extensive portfolio of technical projects delivered within the blue chip and SME environments. Michal received the B.Sc. Network Management and Security from the Middlesex University London, where he was also awarded with the prestigious ‘Manos Nistazakis Memorial Prize’.

During his professional career he also collected a number of the internationally recognized information technology certificates. In the DiNapoli AI project, Michal found his new professional challenge: to transfer the tacit knowledge from a human trader to the machine with use of disruptive technologies.

Joe DiNapoli about the project

I have been working with Piotr Grela for about 20 years. He was granted DiNapoli expert status in 2004.Over that time he has impressed me on many fronts including his trading, teaching and organizational abilities. Approximately one year ago he (along with 2 other DiNapoli experts; Pawel and Tom ) and a team of computer engineers led by Michal began a project using AI to locate certain of the DiNapoli power patterns as described in Chapter 6 of "Trading with DiNapoli levels". The location of these patterns among the entire universe of trading instruments is fundamental to DiNapoli trading.


I gave this project little to no chance of success and I was wrong. The American phrase... "if you cant beat em--join em" comes to mind. For years I have spoken about the dangers of computerized trading. I have been proven right but I was not able to change anything. Big money interests want computers to control our markets and so far they have succeeded in securing that end.


Piotr's team of experts, tackling this trading issue with the successful application of AI reminds me of another American saying... "Fight fire with fire" That’s exactly what he has done. I support this project 100% and look forward to benefiting from it in my personal trading.


- Joe DiNapoli

Contact

info@tradercom.pl