Praem Capital (PRM)

Thanks to his experience in the sphere of Big Data analysis & AI integration, Nicolas Durr sees a lot of great opportunities and decides to switch to a crypto market, he meets with algorithm developers as they start development.

Praem’s First working algorithms & Testing

Following the success of Praem’s crypto bot, our team developed a brand-new algorithm for the largest trading market - Forex

With Bitcoin trending upwards, our developer’s team focused on updating algorithms and showcasing the brand-new Trend bot, allowing them to generate maximum profit during these uncertain times on the market. (Results +40% of profit compared to the previous version)

Praem’s team decided to test Forex’s algorithms on the stock market, which resulted in 65% less profit than on Forex’s market, although security levels were maintained.

Praem’s team began to analyse various strategies to make the stock market bot more profitable and, at the same time, maintain a high level of security.

Volatile market conditions prompted Praem’s team to come up with a solution. The result was the development of additional technology capable of supporting the bots with the analysis of Big Data and to increase the automation of algorithm changes. The task is to create a complex of intelligent algorithms: technical and fundamental analysis of markets; decision-making algorithm; algorithm for semantic data analysis to prepare information fields for ML.

The crash on the cryptocurrency market made it paramount to update existing algorithms, which resulted in enhanced security and stable profits. (after the update, bots showed just 20% less profit than during the 2017 uptrend)

Natural Language Processing (NLP), a subfield of artificial intelligence, focusing on the science of extracting meaning and information from texts by applying machine learning algorithms.

Following 4 months of researching and refining, our developers finalised the Algorithms for the stock market resulting in increased profitability and maintained security levels. The bots showed significantly improved results, +25% compared to the previous version

With higher volatility on the currency markets compared to the previous year and a stronger USD, the developers decided to update the algorithms to allow for greater profits) approximately 13-15% per month.

The goal is to combine PRAEM Financial Market ANI and NLP ANI functions in order to get the best possible solution depending on context and evidence.

Testing on bot log data

Launch of Praem’s long-awaited mechanism including the automation of vital processes and preparation for a trend change in the crypto market volatility, giving us a great advantage against the market.

After 2 months of ANI/bot mechanism testing, our team came up with the concept of an ecosystem, complete with a private blockchain, allowing the processing of data and the synchronisation of financial instruments to be fully automated. Utilising a decentralised database (blockchain) to create a unified data exchange and standardising the data structure inside blocks for the synchronisation of all Praem’s instruments.

Test on Tweets and FB Posts

Applying the mechanism concept, which includes CC/Bots, with a private blockchain, allowed Praem’s Innovations department to come up with the concept, which (when fully up and running) will enable us to trade between different markets simultaneously.

The last element to enable us to fully secure investment portfolios was the insurance of investor’s balances. The solution was to commence the search for a new funding partner.

Initiation of manual testing of market capabilities in order to implement the cross-niche concept. Trading between financial niches all automated by CC/Bots running on a private blockchain could enable us to increase our profit generation from all niches simultaneously.

Following 2 months of extensive negotiations with a hedge fund from Luxembourg and the presentation of Praem’s development concepts resulted in an exclusive partnership ensuring a bright and secure future for the project.

AI Data analysis provided us with new opportunities to modify our existing algorithms, delivering us greater profits compared to previous quarters, (15-20% per month) while maintaining high security levels.

AI + research revealed changing trends and the fact that more and more millennials are trading on the forex market. We carried out an update to the forex bot in order to further increase our profits (+15%) and maintain a high level of security.

With the index growth of S&P 500 and a surge in the market, we saw the best market results since 2013. Developers carried out updates on bots allowing for maximum profit generation. AI’s added assistance prompted bots to make wiser decisions resulting in less, but more secure transactions, contributing to a boost in profits of 5-7% per month)

Following a strong summer period with our instruments and continued growth in AI IQ, Praem’s team finalised the concepts of the private blockchain, cross niche trading and Insurance of investor’s funds via our partnership with a hedge fund.

Launch of Praem’s long-awaited mechanism including the automation of vital processes and preparation for a trend change in the crypto market volatility, giving us a great advantage against the market.

Testing of adding funds during periods of high drawdowns on the market.

Planning of 2020-2021, 2022 releases, Roadmap creation.

Annual revision of algorithms for the new year. The AI system’s learning indicators showed greatly improved results, +17% compared to the previous version.

After the revision for Praem’s Stock market bot, no major changes were implemented.

The First concept for the future development of Praem Exchange, which would include 5 investment markets to trade between on 1 platform.

Final update of the bot’s algorithm before the launch, delivering us much higher profits.

1st steps towards the implementation of the ecosystem.

Limited sale of PRM tokens with a 10-50% discount

Sale of investment plans

Presentation of a Beta version of Praem’s ecosystem

Completed ecosystem with a private blockchain, enabling Praem to commence its integration into global financial structures

“Token Sales” stage is completed allowing every new investor to benefit from our innovative mechanisms for profit generation.

We list PRM tokens on the top crypto exchanges.

Global integration process, meetings with funds for integration, and a private presentation for investors. (PRAEM Exchange)

Mobile App Release (Ios, Android)

Integration of our technologies to other financial & institutional structures

First 10,000 cards selling stage

Lowering learning process

Dependent on licensing & patenting

Start if IPO Due Diligence stage. This agreement states the underwriter shall purchase all shares from the issuing company. They will resell them to the public.

Best efforts agreement, second part of a due diligence stage, agreement between Praem & an underwriter that the latter will sell the shares on behalf of the issuing company

Develop Prospectus and Interact with SIX Exchange Regulation

Ecosystem Load Balancing, Duplicating Main AI for Further Increase in Learning Process.

Asian Headquarters (Singapore) Opening & Registration

If the underwriter’s bank decides that the project is somewhat risky, it attracts other underwriters to form a syndicate

As the underwriter is buying all of the shares, they receive a discounted price

Agreement document between all the parties & a document showing the company’s operations and prospects

As one of the final parts of the due diligence stage, the underwriter shall be legally bound to the purchase of the shares at the agreed-upon price

Presentation of IPO in various locations by the underwriter & issuing company

Set Date, Price of shares, number of shares. Depends on approval

On the agreed-upon date, the underwriter shall release the initial shares to the market

stage (30 day "quiet period")

Final IPO stage, underwriter’s role changes to "advisor"

PRM token holders can now exchange their tokens for shares on the newly launched PRAEM Exchange