I Know First is a financial tech company that provides daily market forecasts to investors based on an advanced self-learning algorithm.

1. Daily Forecast Based on an Advanced Self-Learning Algorithm

2.  I Know First provides daily investment forecast based on an
advanced self-learning algorithm (time frames: 3 days, 7 days, 14
days, 1 month, 3 months and 1 year)
 Technology based on artificial intelligence & machine learning,
incorporating elements of artificial neural networks and genetic
algorithms, developed to analyze and predict financial markets.
 The algorithm is self-Learning, adaptable and scalable, is applied to
discover best investment opportunities or as a decision support
system of an existing investment process
 Tracks over 3000 assets (Stocks, World Indexes, ETFs, Interest rates)
and growing
 Customized algorithmic solutions (extended tailored access to
algorithmic predictions, integration of additional markets/securities)
 Clients: Family Offices, WM Companies, Advisors, Retail Clients –
grown by 400% during 2013-2015
Predictive Algorithm
Artificial
Intelligence
(AI)
Genetic
Algorithms
(GA)
I Know First
predicts 3000
securities daily
2
Joint Venture: I Know First is launching a fund this year with a financial agency in Israel

3. I Know First Team
Yaron Golgher - Co-Founder and CEO
• Previously division manager at OIC with over 15
years of experience in managing and leading
consulting projects for industrial and financial
institutions.
• EMBA from Ben Gurion University, B.Sc. in
Industrial Engineering from Tel-Aviv University
Dr. Lipa Roitman - Co-Founder and CTO:
• Over 20 years of research and experience in artificial
intelligence and machine learning fields
• Concept of IKF’s algorithm has crystallized following
years of his prior research into the nature of chaotic
systems
• Head of IKF’s R&D Team
• Ph.D. from the Weizmann Institute of Science
3
&
• R&D Team: professionals
with backgrounds in
computer science, applied
mathematics, and finance
• Operations Team: finance
and marketing

4. How It Works – Daily Prediction Process
The results are constantly improving as the algorithm learns from its successes and failures
Daily data added to our
15 years historical file
Run a learning & prediction cycle with
new combined data.
Daily predictions for each stock,
currency, commodity, etc..
4

5. • Every day the algorithm generates heat maps demonstrating the
overall direction of the markets in the 6 time frames.
• The algorithm outputs a predicted trend as an absolute number
(not a percentage) known as signal strength
• Table is ordered by signal strength.
Example: A bullish asset would be indicated by a green “buy” signal at the top of the table.
A bearish asset would be denominated by a red “sell” prediction at the bottom of the
table.
Algorithmic Forecast
Daily Market Heatmap
5

6. XOMA returned 61.45% in
1 month from this forecast
Two indicators:
• Signal – Predicted movement of the asset
• Predictability Indicator – the fitness function (simplified: a correlation based quality measure of the signal)
 Key to identify and focus on most predictable markets and securities, enhancing the overall performance
6
Algorithmic Forecast
Signal & Predictability

7. 7
Performance
signal strength (relative on a given day) weakest 10% middle 80% strongest 10% all S&P500 constituents
avg daily close-to-close return 0.012% 0.054% 0.139% 0.122%
annualized (252 business days) 3.19% 14.59% 41.75% 35.94%
signal strength (relative on a given day) weakest 10% middle 80% strongest 10% all S&P500 constituents
avg daily close-to-close return 0.005% 0.074% 0.250% 0.122%
annualized (252 business days) 1.29% 20.50% 87.63% 35.94%
Focusing on a higher level of predictability further improves the returns for stronger signals:
Predictability
filter
 Good foundation for systematic trading

8. 8
Performance – Systematic Trading
Custom Strategy
Rules
Strong Signal
High Predictability
Level
$9,000.00
$9,500.00
$10,000.00
$10,500.00
$11,000.00
$11,500.00
$12,000.00
$12,500.00
$13,000.00
$13,500.00
Daily trading - rankings based on the short-term signals, filtered predictability
S&P500_equity IKF_Top20_pure IKF_Top20_acc_cons_filter
IKF_Top20_consist_streak IKF_Top20_pure_cons_comb IKF_Top20_trend_avg_signal
+3.77%
+19.97%
+23.97%
+30.97%
+25.98%
+27.71%
S&P 500

9. Debt/
Equity
PTBV
EPS
Growth
9
P/E
Bottom-up approach:
• Investment analysis starts with and focuses on individual stocks
• IKF’s algorithmic predictions are integrated:
a) To discover additional opportunities and/or
b) To perform algorithmic screening in parallel
Top-down approach:
• merged “By Industry” and major “World Indexes” forecasts within
(macro-) economic analysis
• identifying most promising markets/industries (i.e. sub-universes)
•  focus on those sub-universes and go deeper from there, integrating
the individual stocks forecasts (as DSS or opportunities identifier)
Fundamentally
healthy, reasonably
priced sub-universe
SWN MUR REGN PXD MNST
114.82 62.46 60.97 59.66 54.96
0.3 0.39 0.33 0.45 0.24
CNX CHK ALXN PCLN OKE
54.47 53.12 50.40 50.20 49.40
0.37 0.28 0.29 0.3 0.36
CPB PRGO GAS PCG AAL
-2.89 -3.08 -3.28 -3.41 -4.22
0.19 0.36 0.06 0.11 0.13
KMB DPS CLX TE HRB
-7.11 -7.41 -7.81 -9.08 -17.19
0.09 0.11 0.09 0.04 0.2
+
Algorithmic screen
(pattern recognition in
historical trading data)
Constructing
Final Portfolio
Forecast Utilization: Different
Investment Approaches

10. I Know First Customized Solutions for
Financial Institutions
From out of 3000 financial assets that I Know First is tracking, the predictions universe can be tailored according to
client’s investment focus. Various filtering criteria:
• Asset classes - Stocks, ETFs, Interest Rates etc.
• Sector/Industry specific forecasts, “merged” signals
• Local markets/exchanges, e.g. DAX 30 companies and the German market
• Market Capitalization, Liquidity
• Risk (volatility)
• Dividend paying stocks
• Fundamental key ratios, e.g. P/E, P/S, EPS Growth etc.
• Reported insider trades
• Custom universe, received from client – can be integrated if a) enough historical data and b) sufficient predictability level
We work closely with clients and partners to customize the prediction table for best performance with your portfolio,
with hardware designed to keep the system optimized to their trading universe.
10

11. 11
IKF Predictive
Algorithm
Prediction
Services
Institutional
Clients
Extended access to
algorithmic
predictions
Customization,
Integration of
additional
securities
Retail Clients
Best Picks
(predefined sub-
universes)
Robo-Advisor
Platform
Fund
Management
In partnership with
institutional clients
Involved in
launching IKF’s
own fund
Other
Industries
Incoming
Requests for:
- Automotive (lots of
sensors’ data -> Real time
prevention of
engine/parts failures;
sales forecasts)
- Financing (loan risk
based on socioeconomic
factors, age, payment
patterns etc.)
- Insurance (e.g. car
insurance policies based
on driving patterns)
Business Model
and Solutions We Offer

12. Thank you!