ALGO MARKET ACCOUNTS ALGO MARKET ACCOUNTS - PASSIVE INCOME ALGO - - PowerPoint PPT Presentation

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

• f interest rates, capital insured

High stable returns, regardless

• f stock market direction, insured

High stable returns, regardless

• f 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 Uses historical data Uses current data

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
• r 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

5 6 8 Yr

1000 trading days

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

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

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 Return

Average Return

130% 52%

Worst Return

• 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)

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

Sales Growth Award Singapore 2009

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

• mitted 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