Algo Trading Masterclass
The Algo Trading Masterclass (ATM) is a $3,499 one-time course - $2,999 for waitlist members - that teaches systematic traders to build, validate and run their own trading process, without writing code, taught end to end in StrategyQuant X. It is for traders who want a method they can defend, not signals to follow. Enrolment is closed. The next window opens September 22, 2026.
At $3,499 the second list matters more than the first. If any line on the right describes you, the honest answer is not to enrol.
Take a trading idea from a sentence to a tested, documented strategy with a stated edge.
Tell an overfit backtest from a robust one, and say which test caught it.
Run a walk-forward analysis on your own strategy and read the result honestly.
Work out how much capital a portfolio actually needs, rather than guessing.
Assemble uncorrelated strategies into a portfolio, and know when to retire one.
Five modules, 94 lessons, in the order they are taught. Every method here has public research behind it - the study library and the methodology it is run to are free to read before you spend anything.
Why some strategies work on crude oil and fail on the euro - and how to tell the difference before you build anything.
The development process broken into its parts, so a strategy is assembled deliberately rather than stumbled into.
Three independent ways to check a strategy will survive outside its backtest - because one is not enough to trust it.
Build projects that generate strategies, run them through robustness testing and save what passes - unattended.
Once you have a portfolio of robust strategies: how much capital it needs, how to run it, and when to retire a strategy.
Seven tools, templates and data sets, included with enrolment and yours permanently - they do not expire.
An Excel tool for finding intraday seasonal patterns: load a market, get the best hour and day to go long or short, with average profit, win rate and activity heatmaps.
Two proprietary indicators that classify a market into 2-25 regimes by volatility and direction. No optimisation needed, and they work as filters or signal generators.
Liquid futures, forex, ETFs and stocks with slippage, daily range, volume, margin, tick size and edge classification - so you know which markets suit which strategy before building.
Ready-made StrategyQuant X templates for breakout, mean-reversion and swing strategies, all configurable.
Project templates that run the whole robust workflow unattended - build, test, save what passes, move on.
Custom StrategyQuant X blocks usable as filters or signal generators, each with randomisation variables for generating thousands of variations.
Intraday futures data, formatted and ready to use with the seasonal strategy builder.
Every method in the course is taught without writing a line of code. That is not a concession - it is the position. Learning to program and learning to tell a real edge from an overfit one are two different skills, and mixing them is why so many traders finish a Python course with working scripts and no way to know whether the edge is real.
The workflow is built in StrategyQuant X, which is licensed separately from the course. It has a free, fully functional trial you can start with, and the code STATOASIS takes 23% off their best price if you decide to buy. Saying so here rather than in a footnote is deliberate: it is the one dependency that would otherwise be a surprise after paying.
Strategies export to the platform you actually trade on. Note that training on those execution platforms is not included - the course is about developing strategies, and every platform ships its own.
StrategyQuant X
The workflow: build, test, automate
MultiCharts
Execution, via SQX code export
TradeStation
Execution, via SQX code export
MetaTrader 4/5
Execution, via SQX code export
Excel
Seasonal analysis and portfolio tracking
Python
Advanced analysis, via SQX pseudo-code
Chosen because each answers a different objection. None of them is a return figure - what a past student earned tells you nothing about what you would.
Brad F.
The Algo Trading Materclass is exactly what I was looking for. As a non programmer I found it very easy to follow along and use powerful tools like SQX, Tradestation, and Multicharts to develop automated trading systems without writing any code. The bonus materials which included custom blocks and indicators made my purchase well worth the investment. The StatOasis community is a great place to learn from other traders and we all help each other.
Marcus N.
I found out about Strategyquant in 2016. One of the best softwares out there when it comes to automatic trading. Unfortunately it was way to complex to learn. I dropped my interest in it for a while. Then I found Ali Casey. He was the only skilled youtuber to put out lesson videos about the software structure and how you can develop strategies from a bunch of different ways. I followed him for quite a while. Then found out about this masterclass of his. As soon as I got a free spot to buy the masterclass, I did. It was worth every penny. He goes through every step to explain all the details about the software. But not only that, he also change your mindset to develop strategies of your own. Making sure you actually understand how the process works. I have already made robust and profitable algos from following Casey's course, saving years of headache
Shawn M.
I have been trading futures off and on for over 20 years and have purchased several trading programs and completed many courses. The masterclass is by far the most comprehensive approach to strategy development I have experienced and my trading has definitely reached a new level giving me a significant amount of confidence moving forward. Ali has been very responsive to all students questions. I would recommend taking your time and complete all the examples in each module many times in order to become proficient
Evan W.
I have been an active algo trader for years, and I have purchased many services, indicators, and classes in an effort to become more consistently profitable. Without a doubt, Ali is offering the most complete, comprehensive training (YouTube videos, StatOasis Community, and ATM course) that I have seen. Many newer traders may not fully grasp the value that Ali is offering, an education in how to develop profitable trading strategies and properly combine them into a robust portfolio. Taking Ali's ATM class, joining his StatOasis online community, and watching his YouTube videos will help all traders save time and money on their journey to become proficient traders.
Ron H.
I had an excellent learning experience with StatOasis. The Algo Trading Masterclass was outstanding, providing not only foundational knowledge but also practical tools for implementation and testing. Ali's materials were top-notch, and he goes the extra mile by spending time in one-on-one sessions to help solve specific problems. Additionally, the free offerings like the AlgoTrader Newsletter and StatOasis Community were of high quality and very useful, complementing the Masterclass materials and aiding in continuous learning.
Chris Markwart
I recently completed the Algo Trading Masterclass, and it exceeded my expectations! The course is well-structured, making complex concepts easy to understand. It provides numerous trade secrets and tips that you wouldn’t normally learn elsewhere. Ali Casey’s dedication to his students is evident, as he generously spent over an hour answering my questions one-on-one, which was immensely beneficial. I highly recommend this course to anyone interested in algorithmic trading and using StrategyQuant X as part of their strategy-building process. Top recommendations!
$3,499, paid once - or $2,999 if you are on the waitlist, which is free to join and commits you to nothing. There is no subscription and the fee does not renew.
Buy-now-pay-later options such as Affirm may appear at checkout depending on where you are, and there is a 30-day refund - judged after the second module, so you can see the method before deciding. StrategyQuant X is licensed separately and is not included in either figure.
Then it probably isn’t a process problem yet, and there is plenty here that costs nothing. The free community is where the start-here path lives, and every method the course teaches has a public study behind it in the research library, run to a published methodology - including the studies that failed. Neither is a lesser version of the course. They are what to do instead of buying it.
Enrolment closed
Enrolment is closed. The next window opens September 22, 2026. Enrolment opens four times a year and stays open for six days - deliberately short, so every cohort gets answered directly.
Ali Casey has been building and testing systematic trading strategies since 2014. He founded StatOasis, created AlgoChef, and publishes the research library this course is built on - every study run on the same workflow the course teaches, and published whether or not the result was flattering. He runs the StatOasis YouTube channel and teaches the Masterclass himself, including the one-to-one session every student gets.
The public price is $3,499, paid once - no subscription, and the fee does not renew. Waitlist members receive a private $500 coupon when a window opens, which brings it to $2,999. Joining the waitlist is free and does not commit you to anything, so $2,999 is the price most people actually pay.
No. The entire workflow is built in StrategyQuant X, which builds and tests strategies without writing a line of code. Many students start with no algo trading experience at all.
Yes - it is the tool the course is taught in, and it is licensed separately from the course. It has a free, fully functional trial you can start with, and the code STATOASIS takes 23% off their best price if you decide to buy. The concepts - robustness testing, portfolio construction, risk - apply on any platform.
There is no single number, and anyone who gives you one is guessing. How much capital a portfolio needs depends on its strategies and their worst-case drawdown. The course teaches you to derive that figure for your own portfolio using Monte Carlo simulation, in the final module - which is a more useful answer than a number.
14 hours of video across five modules, plus 16+ hours of recorded Q&A. Plan for roughly 20 hours of learning and another 20 of practice; at 2-4 hours a week most students work through it in 4-6 weeks. There is no deadline - access is for life.
You join the waitlist, which is free and commits you to nothing. It gets you three things: a private $500 coupon when the window opens, priority booking for the 1-on-1 session with Ali, and notice before the six days window closes. Nothing else about this page changes.
Enrolment opens four times a year and stays open for six days each time - deliberately short, so every cohort gets answered directly. The current window is shown at the top of this page, and the waitlist is told before it closes.
Depending on where you are, buy-now-pay-later options such as Affirm may appear at checkout. Payment is processed by Stripe. Cryptocurrency is accepted by arrangement - email casey@statoasis.com.
Yes, 30 days. If after the second module you do not believe it can add real value to your trading, ask for a full refund. No questions, no process to go through.
Then you have most likely been taught strategies rather than validation. The honest test: if you cannot say which check would have caught your last failed strategy, this covers ground those courses did not.
StrategyQuant X exports strategies to TradeStation, MultiCharts, MetaTrader 4 and 5, and plain-English pseudo-code for anything else. Note that training on those execution platforms is not included - the course is about strategy development.
All results referenced anywhere on this site are historical and educational. Nothing here is investment advice, and no course can make trading profitable.