OFFER EXPIRES: Saturday, December 7th at 5PM EST.
Build and Backtest Algorithmic Trading Portfolios with Python
...So You Can Grow Your Investments responsibly WITHOUT Risky Single-Stock Strategies Or Algorithmic Trading Experience
How Matt Grew His Portfolio to $5,674,854 (using the skills covered in this course) 👇👇👇
Get Started Growing Your Investment Portfolio Now...
We've trained over 500+ Students learning algorithmic trading with Python
Why beginners fail at growing their investments...
Don’t Know How to Get Started
Are you overwhelmed with the number of strategies out there for algorithmic trading?
Losing Money With Risky Single-Stock Strategies
Are you losing money on your first trades, do you feel uneasy with your single-stock risk, or are your trades underwater?
Lack of Financial Domain Experience
Do you find yourself struggling to gain confidence, understand financial jargon, and make sense of it all?
Have you ever...?
Spent hours on YouTube trying to figure out how to trade with Python
Paid for a course on trading but have not learned anything
Heard about "algorithmic trading" but not sure how it works
Felt scared to make the first step
Felt overwhelmed with all of the trading strategies (and wanted a more systematic plan)
Tried to trade by "reading charts" and failed losing money and more confused
Panicked because a trade didn't go the way you anticipated (and let emotions take over)
Held onto losing trades until you were underwater
Lost a ton of money trading and felt helpless because you didn’t have anyone to talk to
If that's you...
Then keep reading, my friend, because what happens in the next few minutes could decide if you stay stuck for another year or gain the knowledge that will help you grow your investment portfolio responsibly.
Trust us, we know what it’s like…
Trying single-stock moving average crossover strategies (and "bleeding red")
Spending money on courses that do NOT work
To feel like I could be growing my investments more (but not knowing how)
To feel like I'm taking on too much risk
To try every YouTube trading strategy there is, and still lose money
The truth is...
WE WEREN'T ALWAYS THIS FINANCIALLY INDEPENDENT
And we made many of the same mistakes as you
Matt lost $30,000 in his first 6 months of trading. Matt made the mistake of listening to a strong TV personality and holding onto losing trades too long.
Jason lost $9,000 on his first options trade. He paid his "Market Tuition", which is money many beginners lose when they first start trading.
Matt dropped $5,000 on a "technical trading" course. And lost $13,000+ applying their "chart reading" framework.
But we overcame our mistakes and built 7-figure investment portfolios.
Matt's $5,323,717 Investment Portfolio
Algorithmic Trading Can Give You:
Confidence in your financial situation.
A way out of your current career.
A way to become your own boss.
Algorithmic Trading Gave Us:
Financial freedom to travel, raise a family, and improve our lifestyles.
10X growth in our financial portfolios. In just the last 2 years our portfolios have grown into the multi-7-figures.
The ability to help friends and family. Matt was able to help his family out financially during tough times when a member of his family couldn't work for over 3 years.
Freedom to pay off debts, loans, and mortgages. We now live debt-free. No loans. No mortgages. Zero debt.
Growth in our retirement savings. Building a retirement fund and planning for the future.
No boss. We grew our independence. And, now, we can call our shots.
The ability to reinvest the money. The biggest secret to our financial freedom has been reinvesting the money.
This is How Algorithmic Trading Works:
This is how it starts:
1. Make the commitment.
2. Learn how to trade.
3. Then scale.
This is what scale looks like:
$1 a day
$10 a day
$100 a day <-- This is what we're focused on now.
$1,000 a day
Why $100 a day?
Because $100 a day is $2,100 a month.
And $2,100 a month is $25,200 a year.
And, $25,200 a year is a 5-Figure Side Hustle.
You can make $100 a day with algorithmic trading
JUST USING YOUR COMPUTER...
That Equals:
Up to
$525 a week
Up to
$2,100 a month
Up to
$25,200 a year
SOUNDS TOO GOOD TO BE TRUE?
With the right mentors, it's easier than you'd think...
It's been done over and over again with 150+ students who we are helping to become financially independent and fulfill their investment dreams with algorithmic trading.
Leo was up $11,500 in 13 trading days (11.5%).
GCLNYC was up $1,300 (+13%) in a week.
Jonathan was up $7,600 (+7.6%) in 14 trading days.
Jim had a $1,100 (+5.3%) return in 14 trading days.
Ethan was up $15,001 (+15%) in 10 days.
Doc was up +5.6% return in 7 days.
Michal was up $5,352 (+5.2%) in 1 day.
By this point, you've realized you can trade with algorithms and build your investment portfolio faster.
Whether you want to:
Build your investment portfolio more quickly
Prepare for retirement (build an IRA)
Experience life, travel, and have fun
Buy a home
Get rid of debt
Have financial freedom
And save, grow, and reinvest more money
Making $100 a day is NOT a pipe dream
The truth is that algorithmic trading can consistently return alpha, in other words excess returns vs "the market".
Keep reading, and we'll share how this is possible.
You Can Grow Your Investment Portfolio When You Implement The Professional-Grade 3-Step Process We Give You In The Course
You will...
Set up an trading portfolio project and Quant Lab software and get started (even if you’re a beginner with no prior algorithmic trading experience)
Get 4 algorithmic portfolio trading strategies. Plan your way to success, minimize risk, and protect your money (using volatility targeting, portfolio construction optimization, and setting minimum return thresholds so your portfolio grows in a risk-managed way).
Professionally backtest your portfolio trading strategy so you can test how your strategy would have performed under different market conditions.
Make trading for growing your investment portfolio a reality without losing money, sleep, or your mind!
These outcomes are totally within reach for you and your investment goals (even if you're starting from scratch or have traded before).
This is Matt's $5.6 million portfolio that he used to battle-test the algorithmic trading strategies used in this program.
Matt's portfolio grew at 70% for the 2-years that the trading strategies in the course were tested. The results below are provided to demonstrate what can happen with a professional-grade portfolio and trading strategy. Your results may differ. Trading involves a high level of risk. See our full disclaimer here.
Build Confidence in Your Trading
"This gives me the confidence that I'm able to do better." -- Adam
What's It Like for Python Enthusiasts with No Finance Background?
Hear what students with no or minimal finance backgrounds thought.
Leo Timmermans
⭐️⭐️⭐️⭐️⭐️
"I am really amazed about Jason's knowledge and the way he can explain stuff even to guys like me, that don't have a finance background."
Jonathan Ng
⭐️⭐️⭐️⭐️⭐️
"This program is structured really well with a nice level of progression and focus on the fundamentals, and some really cool trading strategies that I haven't seen covered elsewhere."
David Tello
⭐️⭐️⭐️⭐️⭐️
"It is clear to me that Jason is very skilled in math/stats and its applications. I like that I can ask him questions about the math and he knows exactly how that applies to the finance."
THE FASTEST WAY TO...
Build And Backtest A Profitable Investment Portfolio Responsibly WITHOUT Risky Single-Stock Strategies Or Algorithmic Trading Experience.
Step 1: Trading Project and Python Quant Lab Setup ($500 Value)
Get the Quant Stack Python Software installed
Set up your algorithmic trading project
Create your Python environment
Everything you need to begin building and backtesting portfolio trading strategies
Step 2: How to Create a Profitable Algorithmic Portfolio Trading Strategy ($2,500 Value)
Get our top portfolio-based trading strategy: Volatility targeting with auto-rebalancing ($2,500 Value)
Get our code template for how to construct a risk-managed portfolio with the Riskfolio-Lib Python library
Discover how to increase returns using the "Ray Dalio Bridgewater Cheat Code"
Step 3: Learn how to Backtest the right way ($2,500 Value)
Detailed walkthrough of event-based backtesting ($2,500 Value)
Backtested portfolio strategies with Zipline Reloaded
How to avoid mistakes in backtesting portfolios
How to include rebalancing, slippage, and trading commissions
LISTEN, WE REALIZE THAT:
1. You need professional market data for high-quality backtests
2. You need free market data for when you are first beginning to backtest non-professionally
3. You need more portfolio trading strategies for different market conditions
SO, WE'VE POURED 250 HOURS INTO OUR PROGRAM TO SOLVE THESE TOP PROBLEMS.
(Read On To Learn More...)
Bonus #1: Code to Backtest 21,000+ US Equities using Premium Data ($1,500 Value)
Solves the "I need professional market data for high-quality backtesting" Problem
Get code templates for how to ingest professional data for 21,000+ US Equites ($1,500 value)
Get code to covert the data to Zipline Bundles
Requires a $50/month Premium Market Data Subscription (only needed for this section of the course)
Bonus #2: Code to Use Free Market Data for Backtesting ($1,500 Value)
Solves the "I need free market data for when I am first beginning to backtest non-professionally" Problem
Get code templates for how to ingest free market data
Get code to covert the data to Zipline Bundles ($1,500 value)
Does NOT require a data subscription (it's free data)
Bonus #3: Top 3 Variations of Volatility Targeting Strategy ($3,000 Value)
Solves the "I need more portfolio trading strategies for different market conditions" problem
Get 3 different variants of the portfolio-based algorithmic trading strategy
Variant #1: Hierarchical Risk Parity ($1,000 value)
Variant #2: CVaR Risk Measure ($1,000 value)
Variant #3: Risk Factor with Principal Component Regression ($1,000 value)
The Quant Science Algorithmic Trading System
A comprehensive learning program designed to help you grow your financial investments faster with algorithmic trading.
(even if you don't have financial knowledge, trading experience, or tons of money to invest)
Summary of Everything that Comes Included:
Based on an independent evaluation, this program is packed with $62,097 in value.
Let us show you how to go from a novice to a pro capable of making $100 a day (or more) and charting your own financial destiny.
The Quant Scientist Algorithmic Trading System 2.0
Algorithmic Trading Fast Track ($997)
Trading Strategy Clinic ($11,300 value)
Backtesting Clinic ($7,100 value)
Risk Management Clinic ($9,100 value)
Advanced Backtesting & Trade Execution Clinic ($7,100 value)
Bonus #1: Lifetime Access to Trader Community ($1,500 value)
Bonus #2: Machine Learning for Trading Clinic ($10,000 value)
Bonus #3: Proprietary Omega "Hedge Fund in a Box" Software ($15,000 value)
$62,097 in value.
Enroll today for only:
$2,499
** Guaranteed SAFE Checkout Powered by Stripe **
You Don’t Need A "Large Account Size" To Make This Work
These results are on $10K initial investment.
GCLNYC up $1,300 on an initial $10K.
Jim was up $534 on an initial $10K.
THIS COURSE IS EVERYTHING WE WISH WE KNEW BEFORE WE STARTED ALGORITHMIC TRADING
We will share the exact same trading strategies that helped us grow 6-figure and 7-figure investment portfolios.
Build and Backtest Algorithmic Trading Portfolios with Python
$497
** Guaranteed SAFE Checkout Powered by Stripe **
Get the Technical Knowledge to Become a More Successful Trader.
"The depth of technical knowledge is exactly what I was looking for." --Joey
"It was a 5.6% return (on $10,000 in 1 week)." --Joey
I've Seen Enough
WHAT OTHERS ASKED BEFORE THEY ENROLLED
Frequently Asked Questions (FAQs)
I have no investing knowledge. Is this for me?
Absolutely! This course starts with the foundational principles and takes you all the way through intermediate portfolio-based algorithmic trading strategies.
I have no finance knowledge. Is this for me?
Absolutely! We cover the core financial topics in depth during the course so you can rest assured you will know exactly how to implement the strategies and techniques covered.
I have no Python knowledge. Is this for me?
This course does not cover the basics of Python. However, we provide full code lessons and we have detailed instructions on how to install the Python software environment used in the course.
We recommend knowledge of Python, Pandas, and Conda Environments. You can learn these in either the PyQuantNews Course (best for finance enthusiasts) or the Python for Data Science Automation Course (best for data science enthusiasts).
Do you cover trade execution in this course?
We cover portfolio construction and backtesting in this course. Trade execution can be accomplished manually or via Interactive Brokers API.
Automated trade execution via Interactive Brokers API is covered in our flagship course, The Quant Scientist Algorithmic Trading Program.
This course is intentionally designed to be the first course to help prepare you for our flagship course.
Do you cover paper trading in this course?
We cover portfolio construction and backtesting in this course.
Paper Trading is covered in our flagship course, The Quant Scientist Algorithmic Trading Program.
This course is intentionally designed to be the first course to help prepare you for our flagship course.
Do you cover how to avoid look-ahead bias and overfitting in this course?
Lookahead bias is reduced by using Event-Based Backtesters. Event-based backtesters inherently have safegaurds to reduce the potential for look-ahead bias by excluding future data from the backtest.
Overfitting is reduced by using Portfolio-based strategies. This avoids single-stock risks that arise from moving-average crossover strategies that tend to overfit.
We also cover handling market data, ingestion, accounting for slippage, handling transaction costs, portfolio rebalancing inside of the event-based backtesting software.
Do you cover real-world backtesting parameters like slippage, commissions, spreads, and liquidity in this course?
Yes! This is covered in the 3rd step in the course on backtesting. We cover handling market data, data ingestion, accounting for slippage, handling transaction costs, portfolio rebalancing inside of the event-based backtesting software. We also cover how to avoid biases using event-based backtesting, how to reduce overfitting using Portfolio-based trading strategies, using realistic trading calendars, and other parameters to improve investment performance.
Do you cover how to set up the Python environment and the libraries needed for backtesting in this course?
Yes! This is covered in the 1st step in the course on trading project and Python Quant Lab setup.
We cover software installation with 4 downloadable guides to help you properly install Anaconda, set up your custom Quant Lab, install the Quant Stack, and Troubleshoot Installation (Common Installation Issues).
Will you advise on what stocks to trade?
Quant Science, LLC is an educational platform. We do not provide personal trading advice or trade on your behalf. With that said, the trading algorithms and strategies are designed to do a lot of the heavy lifting. We give you our "Core 3" trading strategies in the course.
How does this impact my taxes?
You should consult your tax advisor about any tax consequences and your financial advisor for any impact to your personal taxes.
Do you offer refunds?
Due to the digital nature of this product and the fact that we provide all code including the bonus code upfront, we do not offer refunds.
Do you guarantee results?
There are lots of factors that can impact whether you make money with the stock market. We are confident that if you follow our strategies that you will increase your chances of making consistent gains. However, we do not guarantee results.
Are there any additional costs required to complete the program beyond the enrollment fee?
We've done our best to minimize the costs.
Once you begin to grow your investment account and do backtesting more frequently, we recommend additional data subscriptions including Nasdaq Data Link for 21,000+ US Equities ($50/month). But this is not required to complete the course. (See Bonus #1)
Do you offer a trading community with this course?
We do not offer access to a trading community with this program. We've done our best to minimize cost to you, and because of the scale we must reserve access to our trading community for the larger flagship program, The Quant Scientists Algorithmic Trading System.
This course is intentionally designed to be the first course to help prepare you for our flagship course.
What happens when I enroll?
You will receive a Welcome Email (allow 60 seconds for the server to process). The welcome email will give you step by step instructions on how to access the course and get started.
If you get stuck with accessing your course, please email us at info@quantscience.io.
Do I get lifetime access?
Yes, once you purchase the program, you get lifetime access to the program content.
Get on board and start on your journey to responsible investment growth!
Everything that's included:
Build and Backtest Algorithmic Trading Portfolios with Python
$497
** Guaranteed SAFE Checkout Powered by Stripe **
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