The Exact Algorithmic Trading Strategies & Professional Tools That We Use To Automate Our Proprietary Hedge Fund—Simplified For The Solo Trader.
Finally start automating your investments with algorithmic trading in 2025.
How To Become A PRO Algorithmic Trader with Python
Learn the Exact Algorithmic Trading Strategies & Professional Tools That We Use In Our Proprietary Hedge Fund
Start growing your investments with our hedge fund-grade algorithms & professional tools in 2025.
The year was 1987. While Wall Street showcased ruthless ambition, greed, and a trade-by-gut-instincts attitude, a quiet revolution was brewing...
44% PER YEAR (AFTER FEES)
By 1994, David E. Shaw's hedge fund was managing $2 billion with 26% annual returns that rivaled even the best traditional hedge funds.
The Medallion Fund has been closed to outside investors since 1993
Quant hedge funds require $1 million+ net worth, putting them far beyond most individual traders
Professional tools like Bloomberg and Reuters terminals cost $30,000+ per year
The hedge funds have LOCKED THE DOORS on tools and algorithms so they can profit
Interactive Brokers opened up direct-market access to everyone from hedge funds to home offices.
❌ The Old Way (1980s): Human brokers, slow phone execution, $25-$50 commissions
✅ The New Way (1990s-2000s): Electronic Communications Networks, 1000X faster computer processing, $0.007 per share
From 2010 to 2020, the Python ecosystem for algorithmic trading exploded.
Python got core data foundations, backtesting frameworks, and professional tools that empowered individual algorithmic traders for the first time.
Dear Friend,
If you've been, like us, thinking of starting your own solo-trading operation with algorithms, automation, and Python to grow your investments faster than "the market", then this is for you.
In 2022, Jason Strimpel and Matt Dancho (me) came together with one mission:
To give you the exact algorithmic trading strategies and professional-grade automation tools that hedge funds actually use and execution with Python.
And it was working.
From 2022 through 2025, our investments were already growing at double the S&P 500 with the same amount of risk...
But most importantly, using only our trading algorithms, our students were getting results too.
In days from starting our initial program, our students were growing their accounts.
In June of 2024, Jason and I decided to make the leap- To build a hedge fund from scratch using our 20+ years of experience in Data Science and Quantitative Finance.
We were already making good money in the market...
...But now, Jason and I wanted to implement an even more powerful system so we could grow our trading faster with an automated system.
Honestly, Jason and I thought building the hedge fund would take one month (maybe two) to get the fund up and running.
We were wrong!
We were up against giants.
Hedge funds have teams of quants, cutting-edge software, and real-time data feeds costing $10,000,000+ annually—tools far beyond basic charting platforms or delayed data that we have access to.
They analyze markets, seize opportunities, and execute trades with precision while we're left guessing- Not because we are any less smart or capable. They have better tools, algorithms, and execution.
This isn’t just an uneven playing field—it’s a financial disadvantage that cost us profits daily.
Tools Gap: Hedge funds ingest live market data through $30,000 terminals, deploy clusters for backtesting, and automate micro-second execution. Most retail traders juggle delayed charts, spreadsheets, and mouse-clicks.
Research Bottleneck: A single parameter tweak can take hours to test. Meanwhile, quants sweep thousands of variations overnight, discarding losers and trading winners.
Execution Risk: One fat-finger order, slippage, or stale price can erase a month’s gains. Institutional desks have algorithmic monitors and fail-safes; the average trader has… hope.
This is why individual traders like you and me are at a huge disadvantage.
Once Jason and I started building our hedge fund, we discovered the algorithmic trading ecosystem in Python was fragmented and incomplete.
We uncovered 3 critical needs:
ZIP files and random CSVs weren't tracked
Fundamental data was missing
Pipelines for data ingestion and cleaning were absent
Professional-grade data warehouse/data lake storage wasn't available
"I was tired of messy CSVs and slow data analysis killing my profits"
Jupyter files are untrackable: strategy_v1.ipynb, strategy_v2_final.ipynb
No quant/data science experimentation pipeline
Makes tracking experiment parameters and performance comparison impossible
"It's tough to track strategies when my best one is in a file named 'Use_This_One.ipynb'"
No automated execution pipeline set up for trading
No trade monitoring and reporting KPIs
No audit trail connecting trades to specific backtests
No multi-strategy management capabilities
"How do I know if I'm my trades are making money when I'm not notified when things are going wrong?"
Our data bundles would be outdated or broken
We'd read in the wrong data
We'd inadvertently use incorrect trading strategies
Trading strategies contained data errors
Strategies would overfit because we'd backtest incorrectly
Trade executions would fail
You would start by automatically downloading all of your trading data into a high-performance data lake.
Then you would create and backtest dozens of algorithmic trading strategies from a unified research lab that is connected to the data lake.
Once you found a strategy that worked, you would use a robust execution engine to not only submit trades but monitor them to make sure they were profitable and in alignment with your backtest results.
Every individual trader LACKS the two things that hedge funds use to automate their trading: professional tools and algorithmic trading strategies.
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
One Platform, Three Pillars, Powering Our Hedge Fund
Open a trading account with Interactive Brokers and learn the basics of getting started (if you’re a beginner with no prior algorithmic trading experience)
Get an algorithmic trading system. Plan your way to success, minimize risk, and protect your money (you’ll practice your skills in Paper Trading, i.e. you’ll trade with fake money, build your confidence before you make the leap to live trading).
Automate trading just like the "Big Guys". Get our exact automated trading system that is powering our hedge fund (the same system that makes us money while we sleep).
Make trading for growing your investments a reality without losing money, sleep, or your mind!
Pillar #1
Professional-grade financial data storage and processing
Pillar #2
Track and compare 100's of trading experiments
Pillar #3
Automated trading with real-time monitoring
This is 18 months of software development to give you the exact professional tools we use in our hedge fund so you can stack the odds in your favor and win at an unfair game.
Pillar #1
Professional-grade financial data storage and processing
Pillar 1 — QSConnect: The Financial Data Backbone
High-performance financial data lake (DuckDB + Parquet)
90,000 Equities & ETFs
30+ Years of Fundamental Data
90,000,000 Rows of Price Data (OHLCV)
Cache Management File System
High-Speed Database
Automatic Zipline Bundling
Yahoo Finance & FMP API Integration
Pillar #2
Track and compare 100's of trading experiments
Pillar 2 — QSResearch: Your Scalable Research Lab
Complete A-Z Quant Research Lab Workflow
Statistical Analysis of Alpha, Returns, and Performance Metrics
10+ Built-In Feature Engineering Tools
Zipline Backtest Automation
MLFlow Experiment Tracking & Artifact Bundling
1st Class Machine Learning Integration: Scikit-Learn, XGBoost & H2O
Everything you need to manage 1,000’s of trading strategies
Pillar #3
Automated trading with real-time monitoring
Pillar 3 — Omega: Your Automated Trade Execution Engine
1,000 software development hours went into building this
Streamlines trade execution
32 API connections between Python and Interactive Brokers API
SQL Database Trade Logging
Realtime Profit & Loss
Target Percent Positions
Automatic Portfolio Rebalancing
Proven Trading Strategies: These are battle-tested algorithms like volatility targeting and momentum factors that we use in our hedge fund.
Proprietary Software Suite:
QSConnect: High-performance data management for 90,000+ equities and ETFs.
QSResearch: Advanced strategy development and backtesting lab.
Omega: Precision trade execution and real-time monitoring.
Advanced Training: From foundational skills (Level I) to pro-grade automation and machine learning (Level II).
Live Coaching & Mentorship: Learn directly from Matt and Jason in interactive clinics, mastering their top strategies.
WHAT'S INSIDE OUR UNIQUELY POWERFUL SYSTEM:
First, you'll need the exact hedge fund-grade algorithmic trading strategies we use. So for that we have...
Get our 5-Step Framework for Profitable Trading
Learn our Top 3 Algorithmic Trading Strategies
Trade 1: Volatility targeting with auto-rebalancing
Trade 2: Momentum factor with auto-rebalancing
Trade 3: Algorithmic crack spread versus refiner
Detailed walkthrough of event-based backtesting
Backtested portfolio strategies with Zipline Reloaded
How to avoid mistakes in backtesting
Use past data to determine if strategy makes money by skill or luck
Detailed walkthrough of key performance and risk metrics
Risk analysis with Pyfolio Reloaded
Which KPIs actually matter (and which to avoid)
When to iterate (core key risk levels)
How to go directly into paper trading
Detailed walkthrough of executing and managing trades
1 New Trade: Multi-asset trading strategy
1 New Backtesting Technique: 100X faster backtesting
Next, you'll need the exact professional tools we use to automate our hedge fund. So for that we have...
Build your high-performance quantamental database
Integrate financial data APIs
Ingest price & fundamental data (90,000+ equities and ETFs)
Automate Zipline bundling
Monitor, track, and manage 500+ cached files
Develop and test 100's of factor and ML experiments
Implement price and fundamental factor strategies
Track and compare 100's of algorithmic trading experiments
Statistical analysis and alpha generation analysis
Solve the "I struggle with predicting future price movements" problem
Advanced feature engineering for ML strategies
Make 100's of predictive ML strategies
Combine price and fundamental data inside predictive ML strategies
Avoid overfitting with proper hyperparameter tuning
Learn the EXACT production execution pipeline from our hedge fund
Multi-strategy orchestration
Strategy watcher for monitoring trades
Automatic P&L reporting and real-time monitoring
Automated rebalancing workflows
2. Having lifetime access to Professional Tools is a necessity.
3. Executing trades and rebalancing (last mile) is difficult.
(Read On To Learn More...)
For a limited time, we have 4 exclusive bonuses that solve each one of these problems
Solves the "I need help getting started" problem
Very beginner friendly setup guide
Get the Quant Scientist Python Stack installed
Create an account with Interactive Brokers
Set up your Trader Workstation
Connect Python to the Trader Workstation
And execute a paper trading strategy risk-free
Solves the "I need to organize data for 90,000+ assets" problem
90,000 Equities & ETFs
30+ Years of Fundamental Data
90,000,000 Rows of Price Data (OHLCV)
Cache Management File System
High-Speed Database
Automatic Zipline Bundling
Lifetime Access to our Proprietary Software
Solves the "I need help managing 100's of algorithmic trading strategies" problem
Complete A-Z Quant Research Lab Workflow
Statistical Analysis of Alpha, Returns, and
Performance Metrics
10+ Built-In Feature Engineering Tools
MLFlow Experiment Tracking & Artifact Bundling
1st Class Machine Learning Integration
Everything you need to manage 1,000's of trading strategies
Lifetime Access to our Proprietary Software
Solves the "Last Mile" problem
1,000 software development hours went into building this
Streamlines trade execution
32 API connections between Python and Interactive Brokers API
SQL Database Trade Logging
Real-time Profit & Loss
Target Percent Positions
Automatic Portfolio Rebalancing
Lifetime Access to our Proprietary Software
You get the exact workflow we use in our fully automated hedge fund—simplified for the solo trader.
Increase Your Returns: Tap alpha-generating trading frameworks and institutional-grade algorithmic trading strategies.
Slash Risk: Volatility targeting, fail-safe orders, Black-Litterman diversification all in one easy-to-use system.
Reclaim Time: Automated data pulls, overnight grid searches, automatic rebalancing so you can focus on the most important part: your strategies.
Compete Fairly: Same hedge fund-quality algorithms, professional-grade tools, and automated execution edge as billion-dollar funds. Designed for the solo-trader.
Grow in Community: Private Discord mastermind, live Q&A with Matt & Jason.
Here's everything you get:
8 Live Clinics & Recordings ($19,992)
BONUS #1: Python Fast-Track Bootcamp ($997)
BONUS #2: QSConnect Licence ($10,000)
BONUS #3: QSResearch License ($10,000)
BONUS #4: Omega License ($10,000)
Lifetime Access & Private Discord (Priceless)
Total value: $50,989
Today Just $4999
** Guaranteed SAFE Checkout Powered by Stripe **
"Up 11.5% in my first 13 days of trading!"
"It is very much a more scientific way of investing." - Leo
Proprietary Software: QSConnect, QSResearch, and Omega—proprietary trading tools you won’t find elsewhere.
Proven Wins: Students results that speak for themselves.
All-in-One: From basics of algorithmic trading to advanced automation, it’s all here.
Expert Guidance: Matt and Jason bring real-world quant success.
New to Python? Our Fast-Track Bootcamp and copy-paste notebooks get beginners running their first paper trade in under an hour.
Let our easy-to-use system help you get started today!
** Guaranteed SAFE Checkout Powered by Stripe **
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."
This is why we are the right mentors to help you grow your investments.
I started algorithmic trading in early 2000 with stocks and options. I have over 20 years of quant experience at companies including:
Global Head of Derivatives Market Risk Development at BP Trading
Derivatives Trader at Trade Group
Trading Risk Manager at JP Morgan Chase
Head of Engineering, Data Science, and Analytics at Rio Tinto
And I have been developing Python trading software and algorithmic trading strategies ever since!
I started trading in 2008. But my learning path as been far from "linear":
I am not a "traditional quant"
I have 15+ years experience in data science, analytics, and time series
I lost $30,000 on my first trades
I've since grew my investment portfolio to $7.5 million
Jason and I teamed up to combine our strengths in quant finance, trading, and data science!
Don't worry, we can help you troubleshoot software, implement strategies, and build your confidence!
Here's a curated list of the most common questions students had before they enrolled with us.
Absolutely! This course starts with the foundational principles and takes you all the way through more advanced algorithmic trading strategies. The course is eight weeks long and gives you ample time to practice what you learn, watch and re-watch the content as well as ask questions and get support from our coaches.
Absolutely! We cover the core financial topics in depth during the live clinics so you can rest assured you will know exactly how to implement the strategies and techniques covered. Plus, you have access to our trader community where you can ask questions if something is tripping you up.
This course does not cover the basics of Python. However, we provide full code templates and support you during the Python software installation process. 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).
We use Interactive Brokers and the Interactive Brokers API. The Omega "Hedge Fund in a Box" is set up for Interactive Brokers. We apologize, but we do not use other brokers at this time.
We use Interactive Brokers and the Interactive Brokers API. The Omega "Hedge Fund in a Box" is set up for Interactive Brokers only at this time. We will guide you on how to open up an account with Interactive Brokers. We apologize, but there's a ton of setup required to support other brokers, and it's not feasible at this time.
Solution: If you are open to starting a brokerage account with Interactive Brokers, we will teach you everything you need to know on how to trade with it and get up to speed fast.
Most students are trading within the first 3 to 5 days. However, there is setup time for getting an Interactive Brokers account (typically takes 24 to 48 hours). In addition, paper trading account resets take 24 hours. So figure 3 days for account setup and Python software environment setup.
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.
You should consult your tax advisor about any tax consequences and your financial advisor for any impact to your personal taxes.
This is a limited seat cohort-based system. When you enroll, you are taking a seat from someone else. Therefore we do not offer refunds.
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 and ask questions in the coaching community that you will increase your chances of making consistent gains. However, we do not guarantee results.
We've done our best to minimize the costs. However, most students opt for the $14.99/mo Interactive Brokers Market Data subscription available for Non-Professional Investors. This allows Omega to access Real-Time Market Data across 100s of exchanges via Interactive Brokers.
Once you begin to grow your account and do backtesting more frequently, we recommend additional data subscriptions including Financial Modeling Prep (FMP), which we have 30% OFF discount that we've negotiated to help our students. But this is not required to complete the course.
Also optional (not required), you may consider VectorBT PRO, which we will cover in the Advanced Backtesting Clinic (Clinic #4).
No problem. All live clinics are recorded and uploaded within 24 hours. You'll have access to the code, video recording, slides, and resources for all clinics.
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, join our trader community, and get started. Note that the live content will be announced at the kickoff meeting for your cohort.
If you get stuck with accessing your course, please email us at info@quantscience.io.
We understand that life is busy and things come up. That's why all live clinics are recorded and provided within 24 hours. The clinic recordings come with code and resources. And you can watch on your schedule.
Yes, once you purchase the program, you get lifetime access to the program content and community.
** Guaranteed SAFE Checkout Powered by Stripe **
Copyright Quant Science, LLC 2025
Open a trading account with Interactive Brokers and learn the basics of getting started (if you’re a beginner with no prior algorithmic trading experience)
Get an algorithmic trading system. Plan your way to success, minimize risk, and protect your money (you’ll practice your skills in Paper Trading, i.e. you’ll trade with fake money, build your confidence before you make the leap to live trading).
Automate trading just like the "Big Guys". Get our exact automated trading system that is powering our hedge fund (making us money while we sleep).
Make trading for growing your investments a reality without losing money, sleep, or your mind!
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.
Get the Quant Scientist Python Stack installed
Create an account with Interactive Brokers
Set up your Trader Workstation
Connect Python to the Trader Workstation
And execute a paper trading strategy risk-free
(Read On To Learn More...)
Get our 5-Step Framework for Profitable Trading
Learn our Top 3 Trading Strategies
Strategy 1: Volatility targeting with auto-rebalancing
Strategy 2: Momentum factor with auto-rebalancing ($2,100 Value)
Strategy 3: Algorithmic crack spread versus refiner ($2,100 Value)
Get Jason and Matt live for an hour and a half ($3,000 Value)
Detailed walkthrough of event-based backtesting ($1,999 Value)
Backtested portfolio strategies with Zipline Reloaded
Introduction to factor-based trading strategies ($2,100 Value)
How to avoid mistakes in backtesting
And you get Jason and Matt live for an hour and a half ($3,000 Value)
Detailed walkthrough of key performance and risk metrics ($1,999 Value)
Risk analysis of our trades with Pyfolio Reloaded
Which KPIs actually matter (and which ones to avoid)
($2,100 Value)
When to iterate (our core key risk levels) ($1,999 Value)
How to go directly into paper trading
Jason and Matt live for an hour and a half ($3,000 Value)
Detailed walkthrough of how to execute and manage your trades ($1,999 Value)
1 New Trade: A multi-asset trading strategy ($2,100 Value)
1 new technique that gives you 100X faster backtesting ($1,999 Value)
Jason and Matt live for an hour and a half ($3,000 Value)
Absolutely! This course starts with the foundational principles and takes you all the way through more advanced algorithmic trading strategies. The course is eight weeks long and gives you ample time to practice what you learn, watch and re-watch the content as well as ask questions and get support from our coaches.
Absolutely! We cover the core financial topics in depth during the live clinics so you can rest assured you will know exactly how to implement the strategies and techniques covered. Plus, you have access to our trader community where you can ask questions if something is tripping you up.
This course does not cover the basics of Python. However, we provide full code lessons and support you during the Python software installation process. 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).
We use Interactive Brokers and the Interactive Brokers API. The Omega "Hedge Fund in a Box" is set up for Interactive Brokers. We apologize, but we do not use other brokers at this time.
We use Interactive Brokers and the Interactive Brokers API. The Omega "Hedge Fund in a Box" is set up for Interactive Brokers only at this time. We will guide you on how to open up an account with Interactive Brokers. We apologize, but there's a ton of setup required to support other brokers, and it's not feasible at this time.
Solution: If you are open to starting a brokerage account with Interactive Brokers, we will teach you everything you need to know on how to trade with it and get up to speed fast.
Most students are trading within the first 3 to 5 days. However, there is setup time for getting an Interactive Brokers account (typically takes 24 to 48 hours). In addition, paper trading account resets take 24 hours. So figure 3 days for account setup and Python software environment setup.
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.
You should consult your tax advisor about any tax consequences and your financial advisor for any impact to your personal taxes.
This is a limited seat cohort-based system. When you enroll, you are taking a seat from someone else. Therefore we do not offer refunds.
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 and ask questions in the coaching community that you will increase your chances of making consistent gains. However, we do not guarantee results.
We've done our best to minimize the costs. However, most students opt for the $14.99/mo Interactive Brokers Market Data subscription available for Non-Professional Investors. This allows Omega to access Real-Time Market Data across 100s of exchanges via Interactive Brokers.
Once you begin to grow your 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.
Also optional (not required), you may consider VectorBT PRO, which we will cover in the Advanced Backtesting Clinic (Clinic #4).
No problem. All live clinics are recorded and uploaded within 24 hours. You'll have access to the code, video recording, slides, and resources for all clinics.
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, join our trader community, and get started. Note that the live content will be announced at the kickoff meeting for your cohort.
If you get stuck with accessing your course, please email us at info@quantscience.io.
We understand that life is busy and things come up. That's why all live clinics are recorded and provided within 24 hours. The clinic recordings come with code and resources. And you can watch on your schedule.
Yes, once you purchase the program, you get lifetime access to the program content and community.