🧠Edge funds are not the only one using ML for trading

Learn Real-World Machine Learning
for Trading. Without a PhD.
in 14 Days!

Machine Learning Doesn’t Fail. Traders Do…When They Use It Wrong! Learn the Right Way. Trade Smarter.

📍If you’re a trader but Machine Learning still feels out of reach…
📍If you’re curious about how hedge funds actually use Machine Learning to make trading decisions…
📍If you want to learn the only kind of ML that truly works in trading (without wasting 6 months on useless theory)…

Keep reading! What’s on this page could change the way you trade FOREVER.

💥 You’ve probably already tried:

➤ Theoretical YouTube tutorials

➤ Medium articles with catchy titles but zero real results

➤ GitHub notebooks you only half understand

➤ Online courses full of Titanic survivors, flowers, and handwritten digits, but never real market data

➤ Maybe you even tried slapping an XGBoost or LSTM model onto your strategy, hoping for a miracle

➤ Or you built the “perfect” backtest… only to watch it collapse as soon as the market shifted

👉 If any of that sounds familiar, know this: it’s not your fault.

You were taught Machine Learning on problems that are simple, clean, and static.

But financial markets are the opposite: non-stationary, noisy, unstable, and full of complex time dependencies.

It’s not that you had the wrong ambition, you just had the wrong framework.

🎯 Stick with me.

Because in the next few lines, I’ll show you how to apply Machine Learning to your trading strategies the right way:

✅ No pointless theory

✅ Real-life Examples

✅ Tailor Made Mentoring

Learn a clear, proven process that actually works in the markets and that you can apply in 14 days , no PhD required.

Oh, and in case we haven’t met yet…

My name is Lucas Inglese, and I’m a professional independent quant.

You probably know me from my bestselling book 📚, “Python for Finance and Algorithmic Trading”.

Or maybe you’ve already used the Quantreo lib the Python library I created to make Machine Learning actually work in the real world of quantitative trading.

‼️ But not too long ago, I was exactly where you are now…

The truth is, most traders fail with Machine Learning not because they’re lazy or not smart enough but because they believe three powerful myths that silently sabotage their results.

Let’s break them down.

🧠 Myth #1 – "Trading is just luck."

I used to spend my days testing strategies with Machine Learning. Tweaking models, adjusting features, going back and forth, re-reading everything…
And despite all that, nothing held up in live trading.

My code was clean. The metrics looked great.
So why did everything fall apart the moment the market changed?

Slowly, doubt crept in.
Not just about my technical choices. About ME.

Am I doing something wrong? Is this even possible? Is it all… just luck?

I deployed “my miracle” bot and we went to bed.

I barely slept, too excited to see how much I had made while sleeping.

I was stuck in an endless loop: hope → failure → confusion .

The more I searched for logic, the more I started to believe there wasn’t any.
That trading was just a glorified coin toss.

✅ But that’s not true! (Fortunately)

Trading isn’t random.
It’s just far more complex than what most tutorials or courses will ever show you.

Markets are non-stationary, noisy, full of weak, nonlinear, hidden patterns… And above all, deeply time-dependent.

And as long as you don’t know how to model that complexity , everything will look chaotic.

🔍 But there’s a tool built for that.

A tool that doesn’t try to blindly predict, but rather to detect subtle, invisible structures beneath the noise.

That tool is Machine Learning (when used the right way).

“It is what is called Machine Learning. […] You find things that are predictive.”

Jim Simons, founder of Renaissance Technologies (66% average annual return over 40 years)

🧠 No, it’s not luck.

You just weren’t looking at the right signals. But, I’m going to show you how to find them.

💼 Myth #2 – "Pros are just better than you."

For a long time, I believed there was a huge gap between “them” and “us”.
That professional traders had some kind of secret edge I’d never access.
That they had the brains, the tools, the knowledge… and I was just trying to catch up.

But here’s what I realized:

Pros aren’t better than you.
They’re just people, like you and me, who happen to use the right tools with the right framework.

❌They’re not geniuses.
❌They’re not guessing the market.
❌They’re following a process.
A process you can follow too, once you know how it works.

🔓 And today, more than ever…

You have access to:
✅The same data
✅The same algorithms
✅ The same open-source libraries
✅And more computing power than most hedge funds had in 2005

The difference isn’t about intelligence or resources.

It’s about methodology .

What separates most independent traders from the pros today isn’t talent or money. It’s structure. It’s process. It’s knowing how to think and test like they do.

And that’s exactly what I’ll show you here.
Not by copying them.
But by learning to build like them, in a way that fits you.

🤖 Myth #3 – "Machine Learning isn’t for me."

I used to think that too.

❌That Machine Learning was only for, Engineers with PhDs, Research teams in labs, Big hedge funds with entire quant departments.

❌I thought “not for me“. Not for an independent trader. Not for someone who just wanted to build solid, smart, reliable strategies.

But then I tried.
And I finally understood why it felt so out of reach.

The real problem is NOT Machine Learning.

It’s how it’s taught.⛔

You’re shown:
• Models that don’t make sense in financial markets
• Metrics that don’t matter in real trading
• Clean datasets that behave nothing like actual price data
• Theoretical lessons meant to pass a Google interview, not to generate alpha

So of course it feels overwhelming.
Of course it feels like you’re not good enough.

But the truth is, you’re not the problem.
👉You just haven’t been shown how to use ML like a trader, not like a data scientist.

Machine Learning has never been the issue.
The issue is not knowing how to apply it to the chaos of real markets.

And that’s exactly what I’m going to show you.

✅Not with complex theory.
✅Not by starting from zero.

But with a clear, focused approach built for one thing only:
✅ Creating real signals in real markets, in a way that’s practical, stable, and reliable.

Ready to discover how?
Let’s keep going.

🧠 That’s exactly why I created ML4Trading

To avoid the confusion, the wasted time, and the frustration that comes from using powerful tools in the wrong context.

To help independent traders like you stop guessing, start understanding, and finally build Machine Learning strategies that work in real markets.

❌Not with theory.
❌Not with academic code snippets.
✅But with a clear, structured method, made for traders.

Building ML4Trading wasn’t quick or easy

I didn’t just repurpose generic ML theory.
I spent months testing, failing, optimizing… Across different markets, assets, and regimes.

❌I tried models that looked great on paper but collapsed in live trading.
❌I spent entire weeks trying to fix problems that no textbook even mentions.
❌I had to build my own features, target, tools…

It took me a long time to figure out:
✅How to engineer the right features
✅How to structure targets that don’t lie
✅How to train models that survive real volatility
✅How to turn them into strategies that actually execute

And that’s exactly what I packaged for you inside ML4Trading, so you don’t have to waste the months (or years) I did.

39% Annualized Return, 7% Drawdown

Once I realized the key wasn’t just the model…
But the process behind it, everything changed.

By applying a scientific, data-driven approach based on statistical robustness and real market validation, I stopped guessing and started understanding.

This methodology allows me to build, test, and filter ML signals, not just for performance, but for stability and consistency over time.

It’s what tells me which signals to deploy in live trading…
And more importantly, which ones to walk away from, before they cost me money.

Thanks to this method, I was able to build my own portfolio of trading strategies and offer it to a hand-picked group of investors via copy trading, an annualized return of 39% with a maximum drawdown of just 7%.

With ML4Trading, you skip the trial and errors...

❌You don’t need to test 17 models just to realize none of them work in live conditions.
❌You don’t need to spend hours wondering if your feature is useful or if your target makes sense.
❌You don’t need to guess how to plug Machine Learning into your strategy, and hope it doesn’t break everything.

✅I’ve done the heavy lifting.
✅You get the framework, the code, the examples, and the process. All in one place.

Instead of spending months figuring it out alone,
You can start building smart, adaptive ML strategies in just 14 days.

You can start building smart, adaptive ML strategies in just 14 days.

So now, instead of overthinking every decision…
Instead of constantly wondering if you’re doing it right…

You can finally focus on what matters:

• Building strategies that make sense.
• Understanding your signals instead of blindly trusting them
• Deploying models that don’t fall apart the moment the market shifts

You stop improvising.

You start designing with structure, confidence, and control

…

🔥 What is ML4Trading?

Before we dive into the content, let me ask you this:

Do you want to learn how to actually use Machine Learning in real trading, not just toy examples?

ML4Trading is the only course designed specifically to teach practical Machine Learning for quantitative trading, using real data, real targets, and real strategies.

It’s built around a field-tested methodology and a set of powerful tools I created from scratch to solve the exact problems most traders face when trying to use ML on financial markets.

With a structured methodology and advanced tools, you’ll be able to build a fully functional trading bot in less than 28 days .

🚀 What’s Included in the Program ?

ML4Trading is structured in 7 powerful modules, each one designed to help you go from raw market data to smart, robust, and automated Machine Learning trading strategies.

SECTION 1: FEATURE ENGINEERING

(Value: 299$) – INCLUDED IN ML4TRADING

E-LEARNING (videos)

✅ Intra-bar features (short-term price behavior, candle structure, micro-movements)
✅ Inter-bar features (technical indicators, statistical indicators, multi-bar logic)
✅ Over-bar features (trend filters, market regimes, macro view)
✅ Feature scaling, transformation, and stationarity
✅ Hurst exponent, autocorrelation, Yang-Zhang volatility estimator, and more

20+ feature templates included

You’ll never be stuck wondering “what to feed your model” again.

SECTION 2: TARGET ENGINEERING

(Value: 299$) – INCLUDED IN ML4TRADING

E-LEARNING (videos)

✅ Learn how to create real, meaningful targets from market structure and price behavior
✅ Create multiple types of signals: candle color, trend continuation, volatility regime, and more
✅ Work with directional changes, triple barrier methods, and dummy labeling
✅ Understand the role of time horizons and outcome clarity
✅ Learn how to build ML targets that your models can actually learn from

5+ ready-to-use target templates included

Walk-Forward Optimization, Monte Carlo and Robustness test. Perfect, test any strategies in a few minutes !

SECTION 3: FEATURE SELECTION & PREPROCESSING

(Value: 199$) – INCLUDED IN ML4TRADING

E-LEARNING (videos)

✅ Use variance inflation factor (VIF) to remove multicollinearity
✅ Combine correlation, non-linear correlation, and mutual information
✅ Build a clean, structured dataset tailored to your signal
✅ Select only features that truly impact your target
✅ Avoid the classic trap of using “more data” instead of using “better data”

Integrated with Quantreo’s feature selection tools !

So your pipeline stays fast, clean, and relevant.

SECTION 4: 7 MACHINE LEARNING MODELS

(Value: 199$) – INCLUDED IN ML4TRADING

E-LEARNING (videos)

✅ Overview of linear vs. non-linear models
✅ Apply Random Forests, Extra Trees, Neural Networks, and SVMs to trading targets
✅ Learn which models fit which type of signal (trend vs. mean-reversion, volatility, regime detection)
✅ Build ensemble models with voting or bagging to improve robustness
✅ Understand the metrics that matter in trading (confusion matrix, PnL impact, trade frequency)

+ All models fully coded and explained, nothing hidden, no guesswork

SECTION 5: UNDERSTAND & EVALUATE YOUR MODELS

(Value: 199$) – INCLUDED IN ML4TRADING

E-LEARNING (videos)

✅ Avoid the black box trap: Learn how to analyze your model’s decisions with Shapley Values and feature importance.
✅ Focus on the metrics that matter for trading (not academic accuracy) — like precision by class, to protect your capital.
✅ Evaluate your models over multiple periods with Time Series Cross-Validation, not just a single backtest.
✅ Learn how to detect signal collapse early, before you waste time and money in live markets.
✅ Use specific signal analysis tools to find exactly where and why your model fails — and how to fix it.

💬 “Why is my model wrong?” becomes “Here’s what to fix and how.”

SECTION 6: CONDITION YOUR ANALYSIS

(Value: 199$) – INCLUDED IN ML4TRADING

E-LEARNING (videos)

✅ Learn to condition your signals based on market context, like volatility regimes, momentum strength, or technical setups
✅ Discover how to isolate the right moments to apply your model — instead of applying it blindly to every bar
✅ Filter out low-quality trades and increase model precision without changing the algorithm
✅ Build targeted signals that match specific market behaviors

SECTION 7: MULTI-ASSET MACHINE LEARNING

(Value: 299$) – INCLUDED IN ML4TRADING

E-LEARNING (videos)

✅ Learn how to combine data from multiple assets to train stronger, more generalizable models
✅ Increase the number of quality observations without introducing bias
✅ Avoid overfitting by testing your signals on correlated assets
✅ Build models that work across markets, not just on EUR/USD or BTC/USDT
✅ Develop advanced preprocessing workflows to balance targets and preserve structure

💡 Robust models aren’t trained on more data — they’re trained on better data from diverse sources.

🎁 BONUS 1: PERSONAL MENTORING FROM LUCAS

(Value: 499$) – INCLUDED FOR FREE

Whenever you’re stuck — you’re not alone.

You can ask me directly, anytime, and get a reply in under 24 hours.
Whether it’s a bug, a modeling question, or help adapting the method to your strategy, I’m here to guide you.

⚠️ This is not a chatbot or a generic support team.
It’s real support, from a real quant, focused on your real problems.

🎁 BONUS 2: REAL-WORLD MACHINE LEARNING EXERCISES

(Value: 299$) – INCLUDED FOR FREE

You won’t just watch theory.
You’ll solve real ML trading problems — just like a quant would.

Each notebook ends with a practical exercise based on real data, real conditions, and real constraints.
It’s the fastest way to go from “I get the concept” to “I built something that works.”

No toy datasets. No irrelevant tasks.
Just concrete, high-impact work that sharpens your edge.

🎁 BONUS 3: PRIVATE TRADER COMMUNITY

(Value: 299$) – INCLUDED FOR FREE

You’ll also join a private group of traders who are building real ML strategies — just like you.
Share insights, get feedback, improve faster.

🚀 One idea from the community can save you hours of testing or unlock the signal you were missing.

With ML4Trading, you get everything you need to integrate real, effective Machine Learning into your trading strategies — without wasting months on theory or broken code.

From feature and target engineering to model validation and signal deployment, it’s all there, step-by-step.

The total value of everything inside is $2,790.

But let me ask you this…

Wouldn’t investing $2,790 be worth it to avoid the frustration, save months of trial and error, and finally build adaptive, ML-powered strategies that actually survive the market?

Well, that’s not what you’ll pay today.

👉 Today only, you can get lifetime access to ML4Trading for just $197.

SUPPORT & MENTORING are KEY. That’s why we limit the seats.

You take no risk

30-Day Money Back Guarantee

To make sure this is 100% risk-free for you, your purchase is protected by my 30-day money back guarantee.

The only real risk you’re taking is missing out on this opportunity. Why? Because personal support I provide to every member of the ML4Trading program, which is why I have to limit the number of available spots.

Right now, there are only 2 spots left to join the program

🧠Your First Bot, Your First Profits: Closer Than You Think

Take a moment to imagine how it will feel when you’ve built your first automated trading strategies—and you finally start generating your first streams of passive income.

Picture the satisfaction and sense of accomplishment after creating your very own trading bot…

All you have to do is click the button below to access a secure checkout page.

Once your spot is confirmed, you’ll immediately receive an email with access to your personal member area.

SUPPORT & MENTORING are KEY. That’s why we limit the seats.

You’re All Set—Let’s Build Your Bot!

For those of you who have already joined, here are your next steps:

1️⃣You’ve received an email with a link to your personal member area, where you’ll find the “Machine Learning for Trading” module.

2️⃣You’ll also have the instructions to enroll into the private Quantreo community, and I highly recommend you to join !

3️⃣Finally, you’ll get access to all the program’s code templates via the ML4Trading private GitHub repository (link available in the “Introduction” section).

Take the First Step—See You on the Other Side

You’re free to walk away. Just know you might keep searching online, stuck in the same loop, hoping for something that finally works

For me, nothing will really change. Of course, I’d be happy to help you and see your name on our members’ list.

But the choice is yours—the next move is up to you. Take a step toward us, and you’ll get the support you need.

See you on the other side.

Your Last Chance…

Remember,

For just $197, you’ll get full access to the ML4Trading Program (with real support and hands-on exercises) and finally learn how to integrate Machine Learning into your trading strategies, in less than 14 days.

💡 ML4Trading – Real Machine Learning for Real Trading

📍 Feature Engineering (Value: $299)

✅ Intra-bar, inter-bar, and over-bar features
✅ Transformations, scaling, and advanced indicators like Hurst, autocorrelation, Yang-Zhang volatility
✅ 20+ templates to feed your models with clean, high-impact features

📍 Target Engineering (Value: $299)

✅ Learn how to build real ML targets: directional change, volatility zones, price barriers
✅ Create clean, consistent labels your models can actually learn from
✅ 5+ reusable templates for instant signal creation

📍 Feature Selection & Preprocessing (Value: $199)

✅ Eliminate multicollinearity and noise
✅ Combine correlation, mutual information, and domain knowledge
✅ Build a dataset optimized for real-world signals, not toy problems

📍 7 Machine Learning Models for Trading (Value: $199)

✅ Train and test Random Forests, Neural Nets, SVMs, Extra Trees, and more
✅ Understand which models fit which type of signal
✅ Build ensemble models that boost robustness

📍 Understand & Evaluate Your Models (Value: $199)

✅ Use Shapley Values to open the black box
✅ Track what actually matters in trading: signal quality, precision per class, and robustness
✅ Spot signal collapse before it hurts your portfolio

📍 Condition Your Analysis (Value: $199)

✅ Apply your models only in high-quality conditions (volatility zones, specific patterns, etc.)
✅ Filter out noise without touching the model
✅ Improve precision without overfitting

📍 Multi-Asset Machine Learning (Value: $299)

✅ Train across multiple assets to improve generalization
✅ Combine diverse datasets without bias
✅ Build robust signals that work across markets

LUCAS’S SUPPORT + EXCLUSIVE BONUSES

🎁 BONUS 1: Mentoring from Lucas (Value: $499)

✅ Ask your questions, get clear answers — directly from me
✅ 7d/7 support, reply in under 24h
✅ Real help, from a real quant, on your real projects

🎁 BONUS 2: Real-World ML Trading Exercises (Value: $299)

✅ End-of-notebook challenges inspired by real market conditions
✅ Apply what you learn to real signals, not dummy data
✅ From theory → to your own working strategies

🎁 BONUS 3: Private Trader Community (Value: $299)

✅ Join traders who are building and testing real ML signals
✅ Share ideas, get unstuck, and accelerate your learning
✅ A single insight can save you days of testing

💎 Total Value of Program + Bonuses: $2,790

👉 Today, you get access to everything for just $197

SUPPORT & MENTORING are KEY. That’s why we limit the seats.

PS: You’ve come this far. Why stop now? Take the next step.

Lucas Inglese

Learn Real-World Machine Learning for Trading. Without a PhD. in 14 Days!

My name is Lucas Inglese, and I’m a professional independent quant.

🧠 Myth #1 – "Trading is just luck."

💼 Myth #2 – "Pros are just better than you."

🤖 Myth #3 – "Machine Learning isn’t for me."

🧠 That’s exactly why I created ML4Trading

Building ML4Trading wasn’t quick or easy

39% Annualized Return, 7% Drawdown

With ML4Trading, you skip the trial and errors...

🔥 What is ML4Trading?

🚀 What’s Included in the Program ?

SECTION 1: FEATURE ENGINEERING

SECTION 2: TARGET ENGINEERING

SECTION 3: FEATURE SELECTION & PREPROCESSING

SECTION 4: 7 MACHINE LEARNING MODELS

SECTION 5: UNDERSTAND & EVALUATE YOUR MODELS

SECTION 6: CONDITION YOUR ANALYSIS

SECTION 7: MULTI-ASSET MACHINE LEARNING

🎁 BONUS 1: PERSONAL MENTORING FROM LUCAS

🎁 BONUS 2: REAL-WORLD MACHINE LEARNING EXERCISES

🎁 BONUS 3: PRIVATE TRADER COMMUNITY

30-Day Money Back Guarantee

🧠Your First Bot, Your First Profits: Closer Than You Think

You’re All Set—Let’s Build Your Bot!

Take the First Step—See You on the Other Side

Your Last Chance…

Obtain 1 week of Content 100% Free!

Learn Real-World Machine Learning
for Trading. Without a PhD.
in 14 Days!