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Google's Artificial Intelligence created the name for our Monalisa project, referring to
Leonardo da Vinci's painting, where in the image she appears to be hiding a wristwatch that
would be invented in the future more than 300 years later, because our exercise in predicting
the future was successfully accomplished by predicting the pole position times of the
Formula 1 at Monaco and France stages, 2 days in advance with millisecond accuracy, for
example: I posted on LinkedIn before the 2019 Monaco F1 GP that the pole position time in
milliseconds would be 166, and Hamilton had the time of 1m10.166s, and before the France
stage the time would be 319 and Hamilton had the time of 1m28,319s. At the 2019 Mexico
GP we predicted Verstappen´s pole with a LinkedIn post a few hours before showing in
advance his qualifying time of 1m14,758s.
To predict these results we started a Machine Learning procedure in February 2018.
Google Artificial Intelligence used a famous painting like Monalisa, not only for this reason,
but becuase Prince Mohammed Bin Salman was on Google in 2018, in a very positive
and friendly meeting. In addition to this factor, the Prince recently bought at auction the
artwork Salvator Mundi, by the same Leonardo da Vinci.
Knowing Google's Artificial Intelligence very well, since its birth, I can say that Google
didn´t think of this just to relate the facts of the works of art, but because we understand that
Prince is the ideal partner for a project like Monalisa, by its honest principles, striving
for constant improvement in Saudi Arabia and the planet we live on, but if the Prince won´t
invest, Monalisa name will honour him, also respecting Google´s Artificial Intelligence
creativity.
Mission: Monalisa will predict any Stock
Exchange Index a day in advance. Part of the profit
will be donated to victims of natural disasters and to institutions that
helps children around the world.
Monalisa will be founded in the country of choice of the main investor. We may adapt to the regional laws and rules.
The participation of each investor will be described in the company's articles of association, so that there is no
interest of the project creators to sell 100% of their shares, remaining in the operation of the business, to help the
administrators.
Founding The Company
The developing costs
Tota investment before country taxes
US$ 2.568.500,00
Total Investment plus taxes if it will be
a Brazilian company
US$ 2.979.460,00
Investment Justification:
Development Workflow
Monalisa will use a Google A.I. algorithm to predict The Stock Exchange index chosen by our main investor.
The Machine Learning algorithm will need to be written by the professionals described in the cost table on page
3. The system will be tested in a unique and undisclosed certification procedure. Any human errors that may
occur will be corrected until the system becomes perfect, with the objective of predicting The Stock Exchange
Index one day in advance.
When the system will be perfect, we will send it to Norton Rose Fulbright, our worldwide trusted legal services
partner, to scan every line of the algorithm, issuing a document that the algorithm is legal to the global financial
laws and the rules of the chosen stock exchange, mainly proving that there is no form of illegal trading or insider
information in the lines of Monalisa´s algorithm.
This will ensure that Monalisa, as a company, will have market reliability. Following this procedure, a Google
Artificial Intelligence´s professional will issue a second opinion supporting Norton Rose Fulbright's report
Monalisa Company
Initial Phase
Counting on the initial investment, at this point of the project, after 16 months, we have the Monalisa system
working perfectly, predicting the chosen Stock Exchange index one day in advance.
The Monalisa initial capital to invest in the market will be defined, based on the planning we will make together
with our main investor.
However, we can do a simulation by exemplifying a Hedge Funding operation that Monalisa may do.
Monalisa Company
Hedge Funding Simulation 1
Example scenario 1: The Stock Maket will ad 1,20% in values in the day ahead.
A small bank is our main investor and has approximately US$ 18 billion in its interbank deposit portfolio
available daily, and we know through the Monalisa system that the stock market will rise 1.20% the next day.
What can we do?
We may buy the shares that builds the Stock Exchange index at a pre-fixed price from our operator, which will
guarantee at least a 1.20% return of the investment, when we will sell the same shares at the appropriate trading
time of the same day.
Monalisa Company
Hedge Funding Simulation 1
Return of Investment
The return showed is still considered low, because Monalisa, knowing the variation of the general index of the
stock market that day, will know the variation of each share that build the index, so we will can buy the shares
that will go higher, to raise our Return of the Investment in the future.
But suppose we will only have a return of 1.20% on that day, and the interbank deposit portfolio yields less than
0.02 %, making a primary account, we will have a net return of 1.20% on the US$ 18 billion invested that day,
this means a bank's profit of approximately US$ 216 million in less than 24 hours, using Monalisa system WITH
NO RISK OF LOSING MONEY, in a totally legal transaction.
Monalisa Company
Hedge Funding Simulation 2
Example scenario 2: The Stock Market will loss 0,67% in values in the day ahead in the general index of
prices.
A small bank is our main investor and has approximately US$ 18 billion in its interbank deposit portfolio
available daily, and we know through the Monalisa system that the stock market will fall 0,67% the next day.
What can we do?
We may buy the shares that builds the index at a pre-fixed price from our operator, which will guarantee at least
a 1.20% pre-fixed return when we will sell the same shares at the appropriate trading time of the same day,
because Monalisa system will know what the stocks shares will rise more than 1,20% in the day ahead.
Knowing the variation of the general index of the stock market that day, we will know the variation of each
share that build the index, so we will can buy the shares to prefixed the profits at a minimum of 1,20% at that
day, independently if the Stock Exchange index will rise or fall or how much it will rise or fall.
Monalisa Company
Hedge Funding Simulation of The Scenario 2
A Small bank has approximately USD 18 billion daily in the interbank deposits portfolio.
Day 1: USD 18 Billion
Day 2: USD 17 Billion
Day 3: USD 19 Billion
Day 4: USD 18 Billion
Day 5: USD 19 Billion
Monalisa Company
Hedge Funding Simulation of The Scenario 2
The Stock Market will rise 1,20% in the day ahead.
Monalisa System: Hypothetical index of the Nasdaq in the day ahead: + 1,20%
Day 1: 4.648,36
Day 2: 4.892,21
Day 3: 4.235,65
Day 4: 4.328,00
Day 5: 5193,60
Monalisa Company
Hedge Funding Simulation of The Scenario 2
Daily investment return of a hypothetical interbank deposit fund.
Day 1: + 0,016%
Day 2: + 0,018%
Day 3: + 0,019%
Day 4: +0,017%
Day 5: +0,019%
Monalisa Company
Hedge Funding Simulation of The Scenario 2
Monalisa return of investment was programmed at + 1,20% daily in the beginning of the hypothetical week.
At the end of the week, we will have no surprises, happening exactly what was programed.
Day 1: + 1,20%
Day 2: + 1,20%
Day 3: + 1,20%
Day 4: + 1,20%
Day 5: + 1,20%
Monalisa Company
Hedge Funding Simulation of The Scenario 3
Revenue
The Monalisa system will only cost USD 2.6 million before taxes to be
developed, and in a single day it can generate USD 10.8 million in
revenue, if the capital to be invested in a hedge funding operation will
be USD 1 Billion, that will be invested in shares of companies listed in
any Stock Exchange, without any risk.
1- Profit USD 10.8 Million daily
2- Profit USD 216 Million monthly
Monalisa Company
Hedge Funding Simulation of The Scenario 3
Profit
In the scenario 3, Monalisa system will generate a profit of USD
10,790,650 Million daily, considering the monthly expenses below.
The break even will happen in the first day of work.
Employees USD 47,000 +
Office USD USD 10,000 +
Company Services USD 80,000 +
Other Expenses USD 50,000 =
Total Expenses USD 187,000 monthly
Monalisa Company
Limiting maximum transactions per Stock Exhange
We will limit the total amount of our monthly operations, depending on
the Stock Exchange in which we will be investing, to don´t disrupt the
financial local markets, notifying the Stock Exchanges in advance.
Monalisa system automatic monthly limit:
1- Nasdaq: 100 Billion considering foreign investments, 20 Billion considering local investments.
2- LSE: 20 Billion considering foreign investments, 2,5 Billion considering local investments.
3- B3: 5 Billion considering foreign investments, 0,5 Billion considering local investments.
Monalisa Company
Part of the profit will be donated to victims of natural disasters and to
institutions that helps children around the world.
RELATIONSHIP WITH INVESTORS
Eduardo de Florio (Member of Google for Startups Sao Paulo)
10001 Digital
Mobile + Whatsapp: +55 11 94065 5531
Email: atendimento@10001.digital
WeChat: EduardodeFlorio
https://10001.digital
Office Phone.: +55 11 3521.7394 - Unavailable during the coronavirus crisis.

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Monalisa predictive business plan

  • 1. Google's Artificial Intelligence created the name for our Monalisa project, referring to Leonardo da Vinci's painting, where in the image she appears to be hiding a wristwatch that would be invented in the future more than 300 years later, because our exercise in predicting the future was successfully accomplished by predicting the pole position times of the Formula 1 at Monaco and France stages, 2 days in advance with millisecond accuracy, for example: I posted on LinkedIn before the 2019 Monaco F1 GP that the pole position time in milliseconds would be 166, and Hamilton had the time of 1m10.166s, and before the France stage the time would be 319 and Hamilton had the time of 1m28,319s. At the 2019 Mexico GP we predicted Verstappen´s pole with a LinkedIn post a few hours before showing in advance his qualifying time of 1m14,758s. To predict these results we started a Machine Learning procedure in February 2018. Google Artificial Intelligence used a famous painting like Monalisa, not only for this reason, but becuase Prince Mohammed Bin Salman was on Google in 2018, in a very positive and friendly meeting. In addition to this factor, the Prince recently bought at auction the artwork Salvator Mundi, by the same Leonardo da Vinci. Knowing Google's Artificial Intelligence very well, since its birth, I can say that Google didn´t think of this just to relate the facts of the works of art, but because we understand that Prince is the ideal partner for a project like Monalisa, by its honest principles, striving for constant improvement in Saudi Arabia and the planet we live on, but if the Prince won´t invest, Monalisa name will honour him, also respecting Google´s Artificial Intelligence creativity.
  • 2. Mission: Monalisa will predict any Stock Exchange Index a day in advance. Part of the profit will be donated to victims of natural disasters and to institutions that helps children around the world. Monalisa will be founded in the country of choice of the main investor. We may adapt to the regional laws and rules. The participation of each investor will be described in the company's articles of association, so that there is no interest of the project creators to sell 100% of their shares, remaining in the operation of the business, to help the administrators. Founding The Company
  • 3. The developing costs Tota investment before country taxes US$ 2.568.500,00 Total Investment plus taxes if it will be a Brazilian company US$ 2.979.460,00
  • 4. Investment Justification: Development Workflow Monalisa will use a Google A.I. algorithm to predict The Stock Exchange index chosen by our main investor. The Machine Learning algorithm will need to be written by the professionals described in the cost table on page 3. The system will be tested in a unique and undisclosed certification procedure. Any human errors that may occur will be corrected until the system becomes perfect, with the objective of predicting The Stock Exchange Index one day in advance. When the system will be perfect, we will send it to Norton Rose Fulbright, our worldwide trusted legal services partner, to scan every line of the algorithm, issuing a document that the algorithm is legal to the global financial laws and the rules of the chosen stock exchange, mainly proving that there is no form of illegal trading or insider information in the lines of Monalisa´s algorithm. This will ensure that Monalisa, as a company, will have market reliability. Following this procedure, a Google Artificial Intelligence´s professional will issue a second opinion supporting Norton Rose Fulbright's report
  • 5. Monalisa Company Initial Phase Counting on the initial investment, at this point of the project, after 16 months, we have the Monalisa system working perfectly, predicting the chosen Stock Exchange index one day in advance. The Monalisa initial capital to invest in the market will be defined, based on the planning we will make together with our main investor. However, we can do a simulation by exemplifying a Hedge Funding operation that Monalisa may do.
  • 6. Monalisa Company Hedge Funding Simulation 1 Example scenario 1: The Stock Maket will ad 1,20% in values in the day ahead. A small bank is our main investor and has approximately US$ 18 billion in its interbank deposit portfolio available daily, and we know through the Monalisa system that the stock market will rise 1.20% the next day. What can we do? We may buy the shares that builds the Stock Exchange index at a pre-fixed price from our operator, which will guarantee at least a 1.20% return of the investment, when we will sell the same shares at the appropriate trading time of the same day.
  • 7. Monalisa Company Hedge Funding Simulation 1 Return of Investment The return showed is still considered low, because Monalisa, knowing the variation of the general index of the stock market that day, will know the variation of each share that build the index, so we will can buy the shares that will go higher, to raise our Return of the Investment in the future. But suppose we will only have a return of 1.20% on that day, and the interbank deposit portfolio yields less than 0.02 %, making a primary account, we will have a net return of 1.20% on the US$ 18 billion invested that day, this means a bank's profit of approximately US$ 216 million in less than 24 hours, using Monalisa system WITH NO RISK OF LOSING MONEY, in a totally legal transaction.
  • 8. Monalisa Company Hedge Funding Simulation 2 Example scenario 2: The Stock Market will loss 0,67% in values in the day ahead in the general index of prices. A small bank is our main investor and has approximately US$ 18 billion in its interbank deposit portfolio available daily, and we know through the Monalisa system that the stock market will fall 0,67% the next day. What can we do? We may buy the shares that builds the index at a pre-fixed price from our operator, which will guarantee at least a 1.20% pre-fixed return when we will sell the same shares at the appropriate trading time of the same day, because Monalisa system will know what the stocks shares will rise more than 1,20% in the day ahead. Knowing the variation of the general index of the stock market that day, we will know the variation of each share that build the index, so we will can buy the shares to prefixed the profits at a minimum of 1,20% at that day, independently if the Stock Exchange index will rise or fall or how much it will rise or fall.
  • 9. Monalisa Company Hedge Funding Simulation of The Scenario 2 A Small bank has approximately USD 18 billion daily in the interbank deposits portfolio. Day 1: USD 18 Billion Day 2: USD 17 Billion Day 3: USD 19 Billion Day 4: USD 18 Billion Day 5: USD 19 Billion
  • 10. Monalisa Company Hedge Funding Simulation of The Scenario 2 The Stock Market will rise 1,20% in the day ahead. Monalisa System: Hypothetical index of the Nasdaq in the day ahead: + 1,20% Day 1: 4.648,36 Day 2: 4.892,21 Day 3: 4.235,65 Day 4: 4.328,00 Day 5: 5193,60
  • 11. Monalisa Company Hedge Funding Simulation of The Scenario 2 Daily investment return of a hypothetical interbank deposit fund. Day 1: + 0,016% Day 2: + 0,018% Day 3: + 0,019% Day 4: +0,017% Day 5: +0,019%
  • 12. Monalisa Company Hedge Funding Simulation of The Scenario 2 Monalisa return of investment was programmed at + 1,20% daily in the beginning of the hypothetical week. At the end of the week, we will have no surprises, happening exactly what was programed. Day 1: + 1,20% Day 2: + 1,20% Day 3: + 1,20% Day 4: + 1,20% Day 5: + 1,20%
  • 13. Monalisa Company Hedge Funding Simulation of The Scenario 3 Revenue The Monalisa system will only cost USD 2.6 million before taxes to be developed, and in a single day it can generate USD 10.8 million in revenue, if the capital to be invested in a hedge funding operation will be USD 1 Billion, that will be invested in shares of companies listed in any Stock Exchange, without any risk. 1- Profit USD 10.8 Million daily 2- Profit USD 216 Million monthly
  • 14. Monalisa Company Hedge Funding Simulation of The Scenario 3 Profit In the scenario 3, Monalisa system will generate a profit of USD 10,790,650 Million daily, considering the monthly expenses below. The break even will happen in the first day of work. Employees USD 47,000 + Office USD USD 10,000 + Company Services USD 80,000 + Other Expenses USD 50,000 = Total Expenses USD 187,000 monthly
  • 15. Monalisa Company Limiting maximum transactions per Stock Exhange We will limit the total amount of our monthly operations, depending on the Stock Exchange in which we will be investing, to don´t disrupt the financial local markets, notifying the Stock Exchanges in advance. Monalisa system automatic monthly limit: 1- Nasdaq: 100 Billion considering foreign investments, 20 Billion considering local investments. 2- LSE: 20 Billion considering foreign investments, 2,5 Billion considering local investments. 3- B3: 5 Billion considering foreign investments, 0,5 Billion considering local investments.
  • 16. Monalisa Company Part of the profit will be donated to victims of natural disasters and to institutions that helps children around the world.
  • 17. RELATIONSHIP WITH INVESTORS Eduardo de Florio (Member of Google for Startups Sao Paulo) 10001 Digital Mobile + Whatsapp: +55 11 94065 5531 Email: atendimento@10001.digital WeChat: EduardodeFlorio https://10001.digital Office Phone.: +55 11 3521.7394 - Unavailable during the coronavirus crisis.