President / CEO

R. Harrison

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Event

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Corialent Now Conference
Wed
, 
October
 
26
LET'S DO THIS
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R. Harrison

CEO Barkbook

Caption

The Event
Speakers
Attendees
Schedule
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A HANDS-ON APPROACH TO QUANT-TRADING

A conference for B2B marketers, by B2B marketers.

Brought to you by the company who makes B2B marketing sexy.

Wednesday
October
 
26
 
2016
 
7:00am
11:00pm
LET'S DO THis
Text goes here
X

Speakers

R. Harrison

CEO Barkbook

R. Harrison

CEO Barkbook

R. Harrison

CEO Barkbook

R. Harrison

CEO Barkbook

R. Harrison

CEO Barkbook

R. Harrison

CEO Barkbook

DETAILS

DATE

DATE

October
 
26
 
2016
 
7:00am
 
11:00pm
 

LOCATION

TIME

Wednesday
7:00am
 
11:00pm
 

WHO SHOULD ATTEND

Quant Montreal welcomes everyone who wants to learn about algorithmic trading, quantitative finance, machine learning, and Fintech. 

 
Students, data scientists, programmers, researchers,  portfolio managers, and professionals are all welcome.

 

Participate at your school and get the chance to win cash prizes and lots more. Sign up today!

The day we've all been waiting for

Sharing is caring.

WHAT TO EXPECT

01

Learn new skills

An interactive workshop day to help you improve on your trading strategies.

02

GAIN INSIGHT

A main conference day featuring: talks, tutorials, and breakout sessions from experts across the quant finance universe.

03

Network

At the end of the day? Network with financial experts, your peers, and other expert members of the community.

WHAT WILL GO DOWN

Saturday, April 8

9:00AM

Introduction to Algorithmic Trading

An introduction to leverage in algorithmic trading and how it works.

10:00AM

Overview of Quantopian

 A simple overview to help you get up to speed on how the quantopian platform works.

11:00AM

Break

An opportunity to ask questions, stretch your legs, meet the people around you, or even charge your laptop.

11:15AM

Hands on with Pairs Trading

A complete workflow to building a basic pairs trading strategy on Quantopian.

12:15pM

Quantitative Research

A walk-through of Quant Equity Workflow image and philosophy.

12:45pm

Lunch

Lunch will be included.

1:30pm

Overfitting lecture

The dangers of overfitting and how overfitting can trick you into thinking your algorithm is good.

2:00PM

Good vs bad Backtesting

Backtesting used for analysis of how your strategy holds up to real market conditions.

3:00PM

Break

An opportunity to ask questions, stretch your legs, meet the people around you, or even charge your laptop.

3:15PM

test some hypotheses

Deciding whether certain property of the market is true within a set confidence amount.

4:15PM

Applying Machine learning

Implement machine learning based strategies to make trading decisions using real-world data.

4:45PM

Wrap-up


Text Block #2

Montreal’s only Algo Quant Trading full-day Bootcamp!

 

What:

Our quantitative finance and algorithmic trading workshop will feature expert tutorials on algorithmic trading. This introductory level workshop will give you the ability to create and backtest your own basic trading strategies, put algorithmic trading tools to use, and teach you how to correct for some of the statistical biases that can disrupt analysis.

 

The curriculum has been vetted and used to teach lectures by professors at top-tier universities, including: Harvard, Cornell, Stanford and UdeM.

 

Prerequisites to attend: beginner’s knowledge of Python, college level math, laptop

 

Why:

-An interactive workshop day to help you improve on your trading strategies.

-Network with financial experts, your peers, and other expert members of the community.

LOCATION

Tickets

For full-time students and academics with a business background (Finance, management, accounting, etc).

For full-time students and academics with a technical background (Engineering, Computer Science, Mathematics, etc).

If you are paying for yourself to attend, or are an employee of a non-profit
with a business background (Finance, management, accounting, etc).

If you are paying for yourself to attend, or are an employee of a non-profit
with a technical background (Engineering, Computer Science, Mathematics, etc).

TECHNOLOGY IS BEST WHEN IT BRINGS PEOPLE TOGETHER

MATT MULLENWEG

OUR SPONSORS

Thank you so much for your support.

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