The document discusses a predictive algorithm project focused on forecasting currency exchange rates using machine learning techniques and neural networks. It aims to develop a software-as-a-service model that analyzes past exchange rate data to make more accurate predictions and identify optimal times for users to make trades. The foreign exchange market is extremely large, with over $4 trillion traded daily. The targeted professional traders directly involved in currency exchanges comprise around 40% of the market, or $1.5 trillion daily. Feedback from surveys and interviews showed a need to develop a mobile app for easy access to trade predictions on smartphones and tablets.

1. OAP AI Futuristics, LLC
Opportunity Analysis Project
Stanford Venture Labs
Technology Entrepreneur Class 2012

2. What we are working on
Predictive Algorithm for the Forex Market
The project focuses upon prediction modeling and
forecasting methods utilizing Machine Learning techniques
and Neural Network Technology.
What exactly is it, how does it work? Neural network
technology mimics the brain's own problem solving
process. Just as humans apply knowledge gained by past
experience to new problems or situations, a neural network
does the same by building a system of "neurons" that make
new decisions, classifications and forecasts.

3. Market Value & Estimated Potential
The FOREX market is a multi-billion dollar
market and growing.
Overall Market Value, Targeted Users
Overall Primary Market: The Forex trading market is the largest financial market
standing today, with a daily turnover of 4 trillion US dollars. Secondary Focused
Market: The targeted market for our AI, NN, Prediction software use, where
professionals specialize and focus in the immediate exchange of currencies,
comprises almost 40% of all FX transactions, 1.5 trillion dollars daily. Professionals
involved in this would see greatest value of being able to predict at highest accuracy.
That is our main market who would have greatest market we would be directly
tapping into.
(Continued on next slide)

4. Continued.Market Value & Potential
USE VALUE POTENTIAL: Traditionally, investors have used
intuition, mathematical algorithms, general statistics, and
chartist approaches to making inferences and
predictions/predictions as to what the currency exchange will be
in time, or volume ticks. However, the cutting edge analysis now
implements Neural Networks (NN) and advanced machine
learning algorithms where a robot, computer and/or software
can now learn from data and make more precise and accurate
predictions of what the exchange rates will be.
TRANSFERRED VALUE TO USER: With use of an accurate
prediction software they can spot the best entry and exit points
and make profitable trades.

5. Market Surveys and Interview
Feedback
Post surveys and interviews we have determined our SAAS
“Software-As-A-Service” Model and target market will
remain and is the most viable and accessible to our
prospective consumers.
However, “Use and channel wise” we learned the need for
Forex Traders to have instant access to trading prediction
software via their iphone/tablets, with the mobile and tablet
trends that is no surprise. We will need to add that
component to our short and long term development
strategy.
Pricing Monthly People would pay 9.99 , 12.99 and or
14.99 for different levels of access.

6. Contact AI Futuristics
Feel Free to contact us with any questions or
feedback @ aifuturistics@gmail.com
Phone: 917-974-4658
Ask For Jacob CEO, Matthew CFO, or Hamdy
CIO & Technologist
Reference: Evolving Chart Pattern Sensitive Neural Network Based Forex
Trading Agents
Author Gene I. Sher, University of Central Florida (2006) http://arxiv.
org/ftp/arxiv/papers/1111/1111.5892.pdf

7. TABLE OF TOP TEN FOREX
TRADERS
Rank Name Market share
1 Deutsche Bank 14.57%
2 Citi 12.26%
3 Barclays Investment Bank 10.95%
4 UBS AG 10.48%
5 HSBC 6.72%
6 JPMorgan 6.6%
7 Royal Bank of Scotland 5.86%
8 Credit Suisse 4.68%
9 Morgan Stanley 3.52%
10 Goldman Sachs 3.12%