Learn the fundamentals of successful trading with Trade Like a Quant
If you’ve been jumping from one idea to the next, hoping to find that one strategy that will make you a profitable trader, it’s time to get serious.
Trade Like a Quant is designed to equip you with the tools and insights gained from 20+ years in the markets. It’s what I wish I’d had when I started out.
Why trading is hard (and how to make it easier)
Most traders don’t take the problem seriously enough. They jump from idea to idea. They pass over high-probability edges in favor of heroic ideas that are unlikely to pay off.
But what if you could develop a deep understanding of the market, combined with some high-probability trading approaches?
That’s exactly what Trade Like a Quant offers.
This course is for the trader ready to get serious about realistic, high-probability trading approaches.
What you’ll gain in Trade Like a Quant:
Market intuition
Understanding the market isn’t about numbers. It’s about knowing who the players are, what drives their decisions, and how you can profit from their actions.
We’ll teach you to see the market for what it truly is: a highly efficient machine, not a casino.
Realistic business plan
Every successful trader needs a plan.
You wouldn’t start a business without one, so why trade without one?
We’ll help you craft a business strategy that leverages “stonkingly-obvious high-probability edges” and avoids common pitfalls that torch trading capital.
Many examples of specific systematic trading strategies spanning multiple asset classes
You’ll learn explicit, actionable strategies that have been and continue to be traded:
- Risk premia harvesting in equity indexes and government bonds.
- Crypto carry trades that exploit supply and demand imbalances in leveraged crypto futures.
- Turn-of-the-month effects in treasury bonds.
- Trading large rebalance flows in stock and bond indexes
- Exploiting lopsided positioning in VIX derivatives
- Trend and seasonality effects in cryptocurrencies
- And many more…
These are simple uncompetitive strategies that you could trade as a part-time trader.
Robot Wealth Bootcamps have been tried and tested by over 1,200 traders.
Get a glimpse of what’s inside Trade Like a Quant
Module 0
Enrolment & Initiation
You will get immediate access to the Discord community from the time you sign up. So introduce yourself, say hello, and spark up any discussion with us and the team.
Module 1
Seeing the Market for What It Really Is
In this module, you’ll build up a mental model of the market as it really is (not as you’d like it to be!) and start to put together a business plan for making money as a part-time trader.
Buy too cheap / Sell too rich / Don’t get rekt
We start with the simple observation that successful trading requires you to:
- Buy things that are too cheap
- Sell things that are too rich
- Avoid unnecessary risks that lead to you losing lots of money.
We explore how trades would play out if you were the perfect trader, acting with perfect information.
And even then, luck or randomness plays a significant role in trading outcomes.
A good trade isn’t one that makes money, it’s one with positive expectation.
Market Structure and Price Discovery
Next, we confront reality.
You’ll learn that the goal of the market mechanism is to find the price that balances supply and demand – the point where the most trading happens.
Through many examples, you’ll see how this plays out in:
- Batch auctions, such as the closing auction in stocks
- The central limit order book
- Automated market makers in crypto swaps
A Realistic Model of the Market
Many traders start off on the wrong foot, thinking of the market as a big casino – a game driven by fear, greed, and emotion.
They see people throwing money around in unsophisticated ways and assume the market must be highly inefficient.
Running through these examples, you’ll begin to understand why the market is, in fact, highly efficient, despite the presence of lots of gambling maniacs.
And why trading is so difficult.
We’re trading with many others, and although there may be plenty of people willing to trade at bad prices, there’s an extremely competitive race to get to those trades.
Just because there’s “dumb money” in the market doesn’t mean you get to trade with it!
Appreciation of the true nature of the highly competitive game leads to two important realizations:
First, it’s quite hard to lose money consistently without doing something dumb.
We call these dumb things “The Mortal Sins”, and they include:
- Trading Too Much
- Trading Too Big
- Trying To Be a Hero.
These behaviors are sure to lose you money in the long run.
Avoiding these is your first and most important mission as a trader.
Second, as a small part-time trader, you can’t outcompete the best in the business.
You need to seek out the easiest, least competitive opportunities and build your business plan around them.
And that’s what we start to do in Module 1.
You’ll begin outlining a core strategy to exploit market returns, visualized as a pyramid.
At the base of this pyramid, you need at least one “stonkingly-obvious high-probability edge” to build our trading upon. It should be as “win-win” and uncompetitive as possible – something you can be very certain about.
As long as you avoid the Mortal Sins, the market doesn’t punish you too harshly for being wrong.
This gives us the confidence to go after slightly more competitive active edges.
So we look to “Trade More Sh*t” – adding simple systematic strategies that exploit market inefficiencies.
These could include taking advantage of large rebalance flows or misaligned trader objectives – noisy edges that are less attractive to big players.
When we combine noisy edges together, the whole is greater than the sum of the parts.
Diversifying in this way is a good idea because it spreads our bets and tends to reduce the variance of our trading portfolio.
By the end of module 1, you’ll start seeing the market realistically, rather than hopefully.
And you’ll begin building a realistic strategy for exploiting it.
Module 2
Stonkingly Obvious High-Probability Edges
When you start a business venture, it’s clear you need an obvious, reliable way to make money.
You wouldn’t try to wing it.
“I’m smart and hard-working” is not a business case.
You need a stonkingly obvious way to get paid.
Drawing lines on a chart and hoping you can figure out when to buy and sell is NOT a stonkingly obvious way to get paid.
It depends on your discretion and skill, hardly a solid business case.
I wouldn’t lend you money to do that.
Throwing features into a machine learning algorithm is another poor business case.
There’s no reason to think you’d get paid for that. I wouldn’t lend you money to do that either.
In this module, you’ll learn about systematic strategies which have historically been very effective:
- Market-making
- ETF arbitrage
- Commodity carry and trend-following
- Equity pairs trading
- Risk premia harvesting
- Crypto basis effects
- VIX futures basis effects.
You’ll discover they share a few key features.
And the most important one is this: these trades “worked” because you were getting paid for:
- Doing something useful (even if it’s not immediately obvious)
- Taking on risk or “unattractive” work (otherwise everyone would do it)
- Doing it well
If module 1 was about putting together a high-level business strategy, this is about making sure the business case is rock solid.
Every business needs a business case that makes sense.
So we focus on building your portfolio around at least one specific “stonkingly obvious edge”.
We select a “stonkingly obvious edge” and dive deep, helping you to specify fully systematic trading rules and processes to trade it effectively.
For instance, Risk Premia Harvesting in stock indexes and government bonds, diversified with alternative assets.
We look to exploit the long-run positive drift of risk assets in a diversified, risk-managed way.
And we’ll close out with a discussion on how not to screw up the best edges by overcomplicating them.
Module 3
Inefficiencies and Where to Find Them
In Module 3, you’re going to dive into Finding and Exploiting Inefficiencies.
Now that we’ve covered “stonkingly obvious high-probability” edges, we can begin exploring slightly more competitive games that exploit market inefficiencies.
Strategies like risk premia harvesting are “win-win”.
Nobody needs to “lose out” for you to capture excess returns, which is why these strategies are likely to persist.
Exploiting market inefficiencies, however, is “win-lose”, at least if you think about expected returns.
Your excess returns come from “buying from someone too cheap”. Or “selling to someone too expensive”.
In other words, someone loses out.
So how do we find these opportunities?
First, we find other traders who are prepared to sell to us too cheap or buy from us too rich.
We’ll revisit our model of market structure and price discovery and show how tradeable inefficiencies can arise due to:
- Market microstructure (stale orders or AMM prices)
- Conditional risk premia, or a desire for certain “fashionable” exposures
- Lumpy trading flow due to random large trades or forced trading
- Under-reaction (trend)
- Over-reaction (reversion)
But maybe even more importantly, we need inefficiencies that aren’t being completely “gobbled up” by the bigger, more aggressive players.
And how do we ensure that we’re the ones that get to trade these inefficiencies, especially with more sophisticated, faster players trying to do the same thing?
These are the questions we’ll explore together in this module.
You’ll discover that you need two things to be true:
- You need to find a time when a large group is willing or forced to trade at inopportune prices. This requires understanding the constraints and incentives of the big “end users” in the market.
- You need inefficiencies that aren’t completely “gobbled up” by the bigger, “aggressive” players.
There is a reason trading firms buy order flow from Robinhood. They can eat up all the edge there. But not everything is so neatly contained.
Inefficiencies can “leak out” because:
- The inefficiency is too big to be fully absorbed by the market.
- The flows that generate it are too noisy or unpredictable to be fully absorbed.
- The opportunity is too small, too noisy, too capital intensive, or too awkward to attract bigger players.
Understanding this enables us to identify inefficiencies that you can exploit.
To help you through this process, you’ll learn how to craft simply,e testable “elevator pitches” for the inefficiencies we’ll explore.
These “elevator pitches” are simple statements that explain:
- Why you think the inefficiency exists.
- Why you think you can exploit it.
A five-year-old should be able to understand why your edge makes money.
You’ll work through examples with the team. They’ll look like this:
- What: Mechanical wealth management equity/bond rebalance flows are very large.
- Why: Due to their size, they might not be fully dispersed when performance differences between the asset classes (and, therefore, rebalance trades) are very large.
- How: We might get paid for buying what they’re selling around month-end.
If doing this sounds intimidating, it’s probably because it is, a little.
You’re probably not used to thinking like this, and maybe you don’t have the experience to trust your instincts.
But, through plenty of discussion, examples, and investigation, we will work with you to make sure you “get it”.
You’ll learn about 13 different inefficiencies across a variety of asset classes and how they might be exploited using simple, systematic trading rules:
- Turn-of-the-month “window dressing” effects in treasury bonds
- Business day seasonality effects in foreign exchange
- Supplying liquidity to large rebalance flows
- Post-earnings announcement drift in stocks
- Taking advantage of lopsided positioning in VIX derivatives
- Buying close-end funds or ETFs trading at discounts during market stress
- ADR pairs trading or futures spreading in market stress
- Trading leveraged token rebalances
- Trading brand-new products
- Shorting crypto perpetual swaps with structural supply/demand imbalances
- Trend and seasonality effects in crypto
- Buying liquidations in crypto futures
- Cross-exchange spread trading in crypto
What Makes Trade Like a Quant Different?
Unlike other trading courses that focus on generic strategies or flashy tactics, this course is grounded in reality.
It’s designed for serious traders who want to build a sustainable, profitable trading business.
You’ll not only learn the “what” and “how” of trading but also the “why” – the underlying principles that drive market behaviour and create opportunities for profit.
$249 USD
One payment
Your enrollment includes:
Three modules of training including video lessons, written content and custom tools
Private Discord server for real-time discussion with your instructors and peers
Lifetime access to all training material
BONUS Equity Pairs Trading and Stat Arb lecture
BONUS Previous Course Webinar Recordings
BONUS The Historical Crypto Basis Arb video series
Money-Back Guarantee
If you want a refund for any reason, just let us know within seven days and we’ll send your money back, no questions asked.
If you have any pre-purchase questions about Bootcamp, we are happy to help. Email us at [email protected]
Here’s what some of our past students have to say about their Robot Wealth Bootcamp experience…
100% No Questions Asked Money-Back Guarantee
If you start the course and decide it’s not quite what you need at this point in your trading journey, we genuinely don’t want your money.
This means you can dive in and experience the entire course for seven days — watch the training videos, have a go at implementing the strategies, get support and make some genuine connections in the private Discord server.
If the Bootcamp experience still isn’t hitting the mark for you, let us know within seven days and we will refund your full enrollment fee, no questions asked.
More testimonials from past Bootcampers…
