Content Technologies develops proprietary artificial intelligence systems using deep learning techniques. It has two business units: CTI Education which uses AI to monitor 25,000 academic disciplines and publish over 40,000 educational titles; and CTI Financial Markets which uses AI for currency trading, achieving a 60% success rate over 167 currencies and returning over 7 times the initial capital in 151 consecutive trades during testing. CTI Financial Markets is seeking financial partners to help launch its AI trading system for foreign exchange markets.

1. Content Technologies, Inc.
Developers of proprietary artificial intelligence (AI) systems.
Specializing in deep learning systems characterized by providing definitive
decisions and by self-learning, acquiring non-mentored expertize in targeted
fields of interest, where information continues to evolve.
Current business units:
CTI Education,
CTI Financial Markets, L.L.C.

2. CTI Education (CTIE)
CTI Education AI systems currently monitor and maintain expertise in 25,000
academic disciplines.
Coupled with proprietary production automation technology, CTIE has a catalog
in excess of 40,000 unique higher education titles published as textbook
alternatives, courseware, student resources, and online laboratories in print, E-
books, and online.
CTIE distributes through partnerships with Ingram Industries, Amazon, and
others to cover a global opportunity.

3. CTI Financial Markets, L.L.C. (CTIFM)
Trading in the financial markets has become increasingly dominated by
quantitative methods trading.
Powered by advanced computer systems with mathematical modeling software
and multivariate statistical analysis, traders empowered by such systems are
returning greater yields while minimizing risk.
CTIFM has introduced an altogether different approach to trading in financial
markets leveraging its AI technology. Its first AI engine for financial markets is
dedicated to foreign exchange markets.
CTIFM AI follows the company’s deep learning AI philosophy to the letter:
providing a definitive decision and acquiring expertise on a self-learning non-
mentored basis where information changes readily.

4. CTI Financial Markets, L.L.C. (CTIFM)
Unlike Quant Methods, CTIFM AI does not need to reduce information into
smaller bits of information to detect a trend.
•Reducing information equates to a loss of information.
•The AI engine utilizes each bit of information at each time interval for each
entity of interest, in this case a currency.
• Since the engine does not require statistical techniques, it does not
require long intervals of time to validate a change in currently held
information.
• Thus, AI has faster response rates than quantitative techniques.
• With briefer response intervals, the mass of data in an AI decision is less
than that of quantitative system resulting in a more elegant pattern of
the currency’s behavior allowing the engine to render one, rather than
a group, of preferred trades per session.
•In large part due to the smaller time intervals in which to denote a change or
upcoming change in a currency’s behavior, CTIFM systems do not require
advanced computer or hardware technology nor do they require large numbers
of human experts to select trades from the data.

5. CTI Financial Markets, L.L.C. (CTIFM)
CTIFM Ai technology is certainly not without its risks.
In stress-tested 24 months of trial trading across 167 different currencies the
engine produced 60% positive trades. In 151 consecutive trades, CTIFM AI
returned 7.2 times the original capitalization.
Sample follows …

8. Trade Results Capital: $100,000

9. Trade Results Capital: $100,000
Return: $714,533

10. CTI Financial Markets, L.L.C. (CTIFM)
State of the business unit. CTIFM is prelaunch as a business unit.
The business components of CTIFM include infrastructure and core.
•The core is the AI engine as demonstrated and discussed. The core has
sufficiently passed premarket testing and is ready for deployment within a
minimal infrastructure.
•CTI is seeking financial partners for up to 20% ownership of CTIFM.
•For additional information contact Scott R. Parfitt, PhD, CEO
• Scott.Parfitt@ContentTechnologies.org