ALGO MARKET ACCOUNTS

ALGO MARKET ACCOUNTS - PASSIVE INCOME

ALGO MARKET – Level Brokerage Income Monthly

USA – 1000$ & above only applicable* Singapore – 3000$ & above only applicable* India & other Country – 500$ & above packages applicable* Yearly Fees applicable as per account size :- 50$ - (500$ & 1000$)* 100$ - (3000$)* 250$ - (5000$ & 10000$)* 500$ - 1000$ - 10000$+ accounts

ALGO MARKET – CASH Rewards

Direct Brokerage Income – 3% per account sign up onetime

Quarterly Performance Incentive as per company policy

Rewards & Awards

Current Situation: Individual

Fixed Deposit

Unit Trust Funds

Structured Deposits

Insurance

Property

Business

Stocks

Bonds

Low returns

Low returns

Volatile Inconsistent

Cyclical

Cyclical

Low yield / loss making

Loss making or very low returns

Loss making or very low returns

Current Situation: Corporate

Fixed Deposit

Unit Trust Funds

Structured Deposits

Insurance

Property

Business

Stocks

Bonds

Low returns

Low returns

Volatile Inconsistent

Cyclical

Cyclical

Low yield / loss making

Loss making or very low returns

Loss making or very low returns

“ If only I could make money

without all these headaches and worries…

”

I want returns that are…

The Future of Investing

D/W/M Liquidity Algo Notes

Unit Trust powered by algo

Structured Products (Algo)

Insurance with algo as ILP*

Property

Business

Stocks Algo

Fixed Income Algo

Fixed Deposit

Unit Trust Funds

Structured Deposits

Insurance

Property

Business

Stocks

Bonds

Capital Insured, High yield

Fixed stable returns, regardless of interest rates, capital insured

High stable returns, regardless of stock market direction, insured

High stable returns, regardless of stock market direction

Same insurance, with higher stable returns, and lower costs

Capital guaranteed, with high stable returns, variable maturity

Today Future

* Child education insurance fund

Liquidity note, higher yield, low risk

The Company About us

Background

Clone Algo Inc. is a US-based technology firm, incorporated in Las Vegas, Nevada, U.S. (22 Feb 2010)

Clone Algo Inc. is primarily an R&D firm investing heavily in Artificial Intelligence(AI) & Algorithm technology for financial trading

We research timing sciences, develop algorithms and risk management systems, spending around 10% of revenues per year in R&D

We own the IP rights to 12 unique and effective algorithms used to power the AI automated trading system

All pertinent information on the company is also filed with the US Securities and Exchange Commission (SEC)

Company Structure & Ownership

Clone Algo Inc. (US)

Clone Algo Pte. Ltd. (SG)

Algo Markets Limited (MY)

Niraj Goel

65%

71.8%

35%

100%

Our Mission

To sustainably develop evolving, artificial intelligence-based trading algorithm technology in the wealth management industry, enabling our customers to meet current and future financial needs.

Our Value Proposition

Make artificial Intelligence enhanced algorithm trading

available to everyone at an affordable price

Built-in risk management system avoids account blow up

Proven results, used to manage over US$1 billion fund

Little monitoring or expertise from users

Generates passive income 24 hours a day, 6 days a week

Minimum capital required, US$10,000 upwards

Insurance guarantee on trading capital losses

Tradable markets: FX, Futures, Contract for differences(CFD), Shares, Crude oil and Gold, with more markets to be added

The Evolution of Trading

Pit Trading

Probability Based Trading

Timing Technology

Bot/Algo Trading

Technical Analysis Manual Trading

AI Trading (Dynamic)

Past 2014

Use

s h

isto

rica

l d

ata

Use

s c

urre

nt d

ata

1989

1997

2000 2002 2012

AI Trading (Static)

Trading Styles: Where are we?

Manual Trading

Computer Assisted Trading

Fully Automated Trading (Technical Analysis)

Fully Automated Trading (Timing Technology)

Fully Automated Trading (AI-Static)

Fully Automated Trading (AI-Dynamic)

We are

here.

The Technology Artificial Intelligence and Trading

Artificial Intelligence: Applications

Algo-based Financial Trading

Artificial

Intelligence

Natural

Speech

Robotics in Manufacturing

Surveillance

Analysis

Automated Driverless

Cars

Imaging

Optics

Effective Algos

Risk Management

Self Learning Systems

Highly Customizable

Important Concepts

Artificial intelligence (AI): intelligence exhibited by machines or software, where the system is dynamic and self learning, given set of objectives, will take multiple actions to maximizes its chances of success.

Algorithms trading: pre-programmed trading instructions with an algorithm whose variables may include timing, price, or quantity of the order usually initiated by automated programs

Timing technology involves algorithms that use timing rules, trade logic and speed to enter and exit trades, using non-predictive models

Human vs AI Trading

Advantages of using AI Algo Trading • Operates on a set of rules without greed, fear,

ego or bias • Monitors the markets 24 hours a day • Identifies and reacts to opportunities faster

• Consistently carries out the trading plan • Executes trades error-free

• Trades simultaneous multiple positions with different time frames

Human Trader AI Algorithm Trader

Performance Consistency!

What goes into an AI Algo?

Profitable AI

Trading algos

Artificial Intelligence

Timing

Technology

Defined Trade Logic

Risk Management

Testing

The right mix of cutting-edge technologies, risk management & raw computing power

Testing & Selection Process

100 algos are tested (Real Time Data)

20 profitable

50 profitable

5 released

0

5

6

8

Yr 1000 tra

din

g d

ays

10

reworked

All algorithms are rigorously tested to determine effectiveness. Non effective algos are continuously reworked.

Step 1

Step 2

Step 3

Step 4

Step 5

1 Drug to

Market

Target Discovery

Clinical Phase III

Drug Discovery

Safety & Drug Metabolism

Clinical Phase I - II

FDA Approval & Registration

10,000 – 20,000 candidate drugs Drug Discovery Process

10

8

2

1

7

0

Year

Step 1

Step 2

Step 3

Step 4

Step 5

5 Algo to

Market

Target Performance

Phase III: Testing with more scenarios, black swan, validation

Trade logic & timing technology

Risk Management & drawdown management

Phase I – II: Testing with real time data & AI

Effective algos are registered as product

7,000 – 10,000 candidate Algos Algo Discovery Process

10

8

2

1

7

0

Year

Sustainable Advantage

Performance Consistency

High initial costs in R&D and

infrastructure

Long gestation 8-10 years to discover

Effective Algos

Technically skilled R&D team & Patent Protection

8-10 year

Lead time

Retail Customers The results

Number of Retail Accounts

5,000

6,400

10,100

4.000

6.000

8.000

10.000

12.000

FY2013 FY2014 FY2015

Retail accounts gaining traction More than 10,000 active accounts and growing…

Clone Algo for Retail (on mobile)

Login

Screen Trade

History Accounts

Screen

95% Profitable Investors

Best

Retu

rn

Avera

ge

Retu

rn

130%

52%

Wo

rst

Re

turn

-17%

2013 Performance by Retail Algo Clients* (Product offered via Brokers)

* Performance of 5,000 accounts

Win-Loss Ratio: 90:10

Type of

Trades

Number of

Trades

Profitable

Trades

Manual 700,000 60%

Clone Trades 4,300,000 87%

Average Weekly Performance

+6.2% -2.2%

2013 Trading Statistics by Retail Algorithm (Product offered via Brokers)

0 Worst Best

Management Team Experience Counts

Organization Chart Board of Directors

Compliance, Risk, Legal Teams

Corporate Governance

Audit Committee

Remuneration Committee

Audit Team

Asia

CEO

CFO CTO CMO

Finance Team

Sales & Marketing

Team

R&D Product Team

USA

CEO

CFO CTO CMO

Niraj Goel Non-Executive Chairman India’s youngest self-made multi-billionaire. Mr. Goel has spent his

formative years studying at India’s renowned Bishop Cotton School in

Shimla. He graduated from Punjab University in Chandigarh and

holds MBA in Consumer Behavior and Marketing from Newport

University (1993).

He started his career as a trader on the Delhi Stock Exchange and

was a market maker on the Chicago Mercantile Exchange. In the

1980s he started developing financial technologies and trading

algorithms. Artificial intelligence was incorporated into the

technology in the late 1990s today he has developed highly

effective AI algorithms to trade the financial markets.

Founder

Dr Stephen Lee Chief of Research and Strategic Planning Dr Lee has been working actively with Mr. Goel since 2002 in strategizing the direction of the Goel Group of Companies including of Clone Algo Inc, as well as being dedicated to the conception, gestation, testing and development of algorithms and artificial intelligence. Dr Lee has contributed upward of 30 thousand hours towards achieving these goals. The use of algorithms and artificial intelligence within Clone Algo has its foundations in the efforts of the founder and co-founder. Professionally, Dr. Lee is a surgeon who specializes in the medical sciences associated with Ear, Nose and Throat (ENT).

Co-Founder

Recipient of Top Sales Growth Award Singapore 2009

Received from Lee Yi Shyan Minister of Trade and Industry & National Development, Singapore

Sale

s G

row

th A

ward

Sin

gap

ore

20

09

Singapore SME 500 Awards 2009

Ranked one of the top 500 SMEs in Singapore

Nitin Damodaran

CEO

Management Team

Nitin leads Clone Algo group with more than 17 years of experience in banking. He was the Director of Private Banking at Emirates NBD Singapore and Assistant Vice President Citibank Singapore Ltd.

Has more than 25 years of investment record: investing in most asset classes including alternative investments including venture capital/private equity. He worked with several Sovereign Wealth Funds.

He has worked as a private banker with major banks with wealth management experience.

Proficient software researcher and developer, with a Bachelors of Technology Degree in Computer Science. He specialises in developing algorithms for software applications using artificial intelligence. Ability to capitalise on new technologies using AI.

Alvin G Yap

CFO

Tony Thampy

CMO

Nakul Gupta

CTO

Disclaimer & Risk Disclosure

Disclaimer: The information in this presentation (including any attachments) is confidential and may be legally privileged. It is intended solely for the recipients. If you are not the intended recipient, any disclosure, copying, distribution or any action taken or omitted to be taken in reliance on it or on any information contained in it, is prohibited and may be unlawful. This document does not comprise a financial communication from this firm and is not intended to be, nor ought it or any other communication from this firm to be construed as comprising, an inducement, invitation or recommendation to participate in or to refrain from any investment activity. Please note that we are a technology company and do not sell financial services. All technology systems and software can only be used with connected Brokers , Banks , FCMS and Clearing houses. Please contact your broker for use of the products ( trading systems and algorithms).

Risk Disclosure: Futures, Foreign Exchange(FX) or Precious Metals trading contains substantial risk, only risk capital should be used. Past performance is not indicative of future results. No representation is being made that any account will or is likely to achieve profits or losses. Nothing contained herein shall be construed as a recommendation to buy or sell Financial derivatives or FX products.

Thank You Questions & Answers