ALGO MARKET ACCOUNTS
ALGO MARKET ACCOUNTS - PASSIVE INCOME
ALGO MARKET – Level Brokerage Income Monthly – 1000$ & above only applicable* USA – 3000$ & above only applicable* Singapore – 500$ & above packages applicable* India & other Country 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 Low returns Fixed Deposit Bonds Loss making or Low returns Insurance very low returns Loss making or Volatile Unit Trust Funds Stocks very low Inconsistent returns Structured Low yield / loss Property Cyclical making Deposits Business Cyclical
Current Situation: Corporate Low returns Fixed Deposit Bonds Loss making or Low returns Insurance very low returns Loss making or Volatile Unit Trust Funds Stocks very low Inconsistent returns Structured Low yield / loss Property Cyclical making Deposits Business Cyclical
“ If only I could make money without all these headaches and worries… ”
I want returns that are…
The Future of Investing Future Today D/W/M Liquidity Capital Insured , High yield Fixed Deposit Algo Notes Fixed stable returns, regardless Bonds Fixed Income Algo of interest rates, capital insured High stable returns, regardless Stocks Stocks Algo of stock market direction, insured Unit Trust powered High stable returns, regardless Unit Trust Funds by algo of stock market direction Insurance Same insurance, with higher Insurance with algo as ILP* stable returns, and lower costs Capital guaranteed , with high Structured Structured stable returns, variable maturity Deposits Products (Algo) Liquidity note, higher yield, Business Business low risk Property Property * Child education insurance fund
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. 71.8% Niraj Goel (US) 35% 65% Clone Algo Pte. Ltd. (SG) 100% Algo Markets Limited (MY)
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 Uses historical data AI Trading (Dynamic) Bot/Algo Pit Trading Trading 2000 2002 1989 2012 Past Uses current data 1997 2014 AI Trading (Static) Timing Probability Based Trading Technology Technical Analysis Manual Trading
Trading Styles: Where are we? Fully Automated We are Trading (AI-Dynamic) here. Fully Automated Trading (AI-Static) Fully Automated Trading (Timing Technology) Fully Automated Trading (Technical Analysis) Computer Assisted Trading Manual Trading
The Technology Artificial Intelligence and Trading
Artificial Intelligence: Applications Automated Imaging Driverless Optics Cars Artificial Natural Surveillance Speech Intelligence Analysis Effective Algos Algo-based Risk Management Robotics in Financial Manufacturing Self Learning Systems Trading 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 AI Algorithm Trader Human Trader Advantages of using AI Algo Trading • Operates on a set of rules without greed, fear, ego or bias • Performance Monitors the markets 24 hours a day • Identifies and reacts to opportunities faster Consistency! • Consistently carries out the trading plan • Executes trades error-free • Trades simultaneous multiple positions with different time frames
What goes into an AI Algo ? Risk Defined Trade Management Logic The right mix of cutting-edge technologies, risk management Artificial & raw computing power Intelligence Timing Technology Testing Profitable AI Trading algos
Testing & Selection Process All algorithms are rigorously tested to determine effectiveness. Non effective algos are continuously reworked. Yr 0 1000 trading days 100 algos are tested ( Real Time Data) 5 20 profitable reworked 6 50 profitable 8 5 released 10
10,000 – 20,000 candidate drugs Drug Discovery Process Year 0 Target Discovery Step 1 1 Drug Discovery Step 2 2 Safety & Drug Step 3 Metabolism Clinical Phase I - II Step 4 7 Clinical Phase III Step 5 8 FDA Approval & 1 Drug to Registration Market 10
7,000 – 10,000 candidate Algos Algo Discovery Process Year 0 Trade logic & timing Step 1 technology 1 Risk Management & Step 2 drawdown management 2 Phase I – II: Testing with Step 3 real time data & AI Phase III: Testing with Step 4 more scenarios, 7 black swan, validation Step 5 Target Performance 8 Effective algos are 5 Algo to Market registered as product 10
Sustainable Advantage Performance Consistency Technically skilled High initial costs 8-10 year R&D team in R&D and Lead time & Patent infrastructure Protection Long gestation 8-10 years to discover Effective Algos
Retail Customers The results
Number of Retail Accounts Retail accounts gaining traction 12.000 More than 10,000 active accounts and growing… 10.000 10,100 8.000 6,400 6.000 5,000 4.000 FY2013 FY2014 FY2015
Clone Algo for Retail (on mobile) Login Trade Accounts Screen History Screen
2013 Performance by Retail Algo Clients * (Product offered via Brokers) 130% Best Return 95% 52% Profitable Investors Average Return Return Worst -17% * Performance of 5,000 accounts
2013 Trading Statistics by Retail Algorithm (Product offered via Brokers) Type of Number of Profitable Trades Trades Trades Manual 700,000 60% Clone Trades 4,300,000 87% Average Weekly Performance Win-Loss Ratio: 90:10 -2.2% +6.2% Best Worst 0
Management Team Experience Counts
Organization Chart Board of Directors Corporate Compliance, Risk, Governance Legal Teams Audit Committee Asia USA Remuneration Committee CEO CEO CFO CTO CMO CMO CTO CFO Audit Finance Sales & R&D Product Team Team Marketing Team Team
Founder 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.
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