🧠 Learn the Real Science Behind Strategy Design
Exploit market anomalies like a quant desk.
With a strict scientific process.
Powered by AI agents, in 28 days !
Stop chasing ‘secret strategies’. Learn to create your own, from data, through a deliberate, scientific process. Not by chance!
I have a question for you,
Have you ever felt like your results depend more on luck than on your method?
➔ Whether you’re tired of guessing and want a repeatable, scientific method or start building your own systematic strategies from scratch…
Keep reading! What follows could change EVERYTHING.
You’ve probably already tried:
➤ Copying strategies you saw on YouTube or trading blogs.
➤ Tweaking “magic” indicators hoping to find the missing piece.
➤ Backtesting dozens of ideas… without really understanding why they win or lose.
➤ Learning alone, without structure, until you burn out.
And then?
You got lost in complexity and no real progress.
It’s NOT your fault.
❌ You were never taught the real process.
The methods used by quant funds are rarely shared.
You were led to believe that “testing a lot” was enough.
But without a clear process, all you’re really testing is luck.
The truth is,
Almost no one shares the complete process behind a real strategy.
The proper processes aren’t readily available to the general public.
It takes years of trial, error, and frustration to connect all the dots.
And that’s no easy task… (But more on that in a moment.)
Stay with me until the end, because I’m going to show you the full scientific process to design real trading strategies, and how to use AI agents to supercharge it in just 28 days ✅
By the way, I forgot to introduce myself
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’re one of the 67,821 people who have engaged with my content on automated trading which is the art of automating trading strategies to trade better, faster, and without emotions.
‼️ But not too long ago, I was exactly where you are now…
I thought I was getting closer… but I was just overfitting noise.
For 9 months, I was obsessed.
I tested 961 strategies I found on YouTube, Reddit, and trading forums.
Each one looked brilliant in-sample.
And every single one collapsed out-of-sample.
I spent nights optimizing, tweaking, fine-tuning indicators.
Nothing held up.
It always ended the same way: excitement, hope, then disappointment.
However, I was doing everything “right.”
I had followed all the advice.
I read academic papers, joined forums, bought expensive courses (spending over $4,500 in the process).
I thought the problem was the tools, or maybe the data.
But the truth was simpler…
I had no framework. No real process.
I was testing luck, not building knowledge.
That’s when everything changed.
I stopped looking for “the strategy”and started developing a scientific process instead.
Observe → Formulate → Test → Interpret → Iterate. (I’ll get back to that in a moment)
That’s how real edges are born.
The Breakthrough That Changed Everything…
When I Realized Research Alone Wasn’t Enough
After hundreds of failures, I turned to real research.
I started reading Advances in Financial Machine Learning by Marco Lopez de Prado.
The first chapter fascinated me. It described the inner structure of a quant fund:
strategists, data analysts, researchers… each with a specific role in turning ideas into alpha.
But there was a problem. And a big one.
There were no real examples, no practical frameworks, no “how-to.”
Just theory. Brilliant, but out of reach for anyone outside those institutions.
That’s when I started digging deeper.
I combined insights from different books, academic papers, and discussions with quants from my private community and LinkedIn network.
I finally had a way to create strategies with SOLID theoretical and economic FOUNDATIONS.
But there was a new problem. TIME.
Even working full-time, it took me months to design a single strategy.
The fastest one I ever built took almost two months from idea to backtest.
I needed a team....
But hiring professional quants at $200,000 a year wasn’t an option.
Then it clicked. 💡
I had seen some naive examples of AI agents reading balance sheets or doing basic analysis…
and I thought: what if I could turn that concept into a real quant research team?
So I did it.
I broke down my entire research process into +10 specialized AI agents
Each responsible for one task:
➔ idea generation
➔ feature creation
➔ alpha modeling
➔ validation
➔ documentation
…
A quick focus on my performance
39% Annualized Return, 7% Drawdown
Once I realized that the key was to implement a scientific process based on the statistical significance of my strategies, everything changed.
(Statistical significance: a process that ensures an observed result is unlikely to be due to chance.)
This approach allows me to analyze the trading strategies I develop and determine which ones to deploy in live trading, and more importantly, which ones to discard.
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%.
Quant Funds Are Using AI More Than Ever...
Why not You?
Every day, Euronext, the New York Stock Exchange, and the Tokyo Stock Exchange process over $43 billion in algorithmic trades, that’s roughly equivalent to the daily GDP of a small country.
And behind these numbers, something is changing fast.
Top institutions like BlackRock and J.P. Morgan now have entire divisions dedicated to AI-driven quantitative research.
They use agents and automated systems to analyze data, detect patterns, and build strategies faster than ever before.
The father of quantitative finance, Jim Simons (who achieved 66% annual returns for nearly 40 years with Renaissance Technologies) said:
“Our scheme is to analyze data and markets to test for statistical significance and consistency over time.” Jim Simons
He didn’t rely on instinct.
He relied on a process, and more importantly, a team.
But here’s the good news:
➔ You don’t need a multimillion-dollar team.
➔ With today’s technology, you can replicate that same structure using AI research agents that act like your own quant desk: fast, consistent, and scientific.
The Hidden Advantage of Independent Quants…
At first glance, working solo looks like a disadvantage.
No big team. No billion-dollar infrastructure.
But in reality, it’s an edge. 🚨
You don’t have to move markets or wait for internal approvals.
You don’t need five signatures for a single experiment.
You’re not trapped by compliance departments or rigid protocols.
While large funds spend weeks validating a single idea,
you can test, iterate, and deploy in hours.
And now, with AI agents acting as your personal quant team, you keep that independence without losing scale.
You only need about 5 hours a week to build your strategies, often even less. (I’ll break that down for you in just a moment.)
The only system you need
Years of Research Condensed Into a Simple, Actionable System
I created the AI Trading Lab to help independent quants and traders who were stuck like I once was, full of ideas, but no real process.
It took me years of coding, research, and testing.
I studied hundreds of papers, trained in AI and automation frameworks, and built dozens of prototypes before finding what actually worked.
Once I acquired all this knowledge, I used my math background to strip away the complex math formulas and distill everything down to the core logic.
But the hardest part wasn’t the research.
It was turning complex, technical workflows into something clear, structured, and reusable.
So I spent months refining everything, simplifying scripts, automating repetitive steps, and turning the full research process into ready-to-use templates that anyone can follow.
Now, what once took me weeks (or even months) to design a single strategy can be done in less than 1 day.
That’s the power of combining quant research principles with AI-driven structure.
This gave me enough free time to build my own open-source Python library dedicated to quantitative analysis and financial machine learning.
🤖 What is the AI Trading Lab?
Before we go any further, let me ask you a quick question:
Do you want access to the exact processes I use?
The AI Trading Lab gives you everything you need to research, design, and conceptualize your own trading strategies using a scientific process powered by AI agents, the same structured approach used inside quantitative research teams.
It is built around THREE CORE PILLARS:
📍The E-LEARNING PLATFORM, where you’ll learn and practice with real-world examples.
📍The PRIVATE COMMUNITY, where you’ll connect with top-tier quant traders to collaborate and grow together.
📍 7D/7 SUPPORT FROM ME, Lucas (professional quant researcher), ask anything about the course or your projects, and get a reply in under 24 hours. (This is the most appreciated feature!)
With a structured methodology and powerful AI tools, you’ll be able to conceptualize complete, test-ready trading strategies in less than 28 days .
🚀 What’s Included in the Program ?
SECTION 1: AI AGENTS & LANGCHAIN FOUNDATIONS
(Value: 399$) – INCLUDED INTO AI TRADING LAB
E-LEARNING (videos)
- ✅ FROM LLMs TO AGENTS (Learn the core logic behind AI agents. What they are, how they think, and how to control them through LangChain.)
- ✅CONNECTING TO GROQ & MODEL PARAMETERS (Set up your Groq environment, connect to ultra-fast LLMs, and understand key parameters like temperature, seed, and model size.)
- ✅ PROMPT DESIGN MASTERY (Learn how to craft structured prompts with clear roles, context, and output formats to get consistent, reliable results every time.)
- ✅ CHAINING LOGIC WITH RUNNABLESEQUENCE (Build your first agent workflow by connecting multiple logical steps, transforming simple models into structured research pipelines.)
3 TEMPLATES OFFERED IN THIS SECTION !
LLM Connection, Prompt Builder, RunnableSequence Demo.
SECTION 2: THE 4-STEP STRATEGY CONCEPTION FRAMEWORK
(Value: 499$) – INCLUDED INTO AI TRADING LAB
E-LEARNING (videos)
- ✅ FROM DATA TO HYPOTHESIS (Learn to move from raw data to testable hypotheses, following a reproducible and evidence-based approach.)
- ✅ FEATURE ENGINEERING OVERVIEW (Understand why features are the true “language” of your model and how to create the right ones for different market structures.)
- ✅ FEATURE INFORMATION ANALYSIS (Identify which features truly carry predictive information — and which only create noise.)
- ✅ ALPHA FORMULATION PRINCIPLES (Combine multiple features and economic reasoning to build alpha candidates that have a measurable edge.)
- ✅ STRATEGY CONCEPTION BLUEPRINT (Assemble your alphas into coherent strategies with clear entry, exit, and position sizing rules.)
- ✅ CASE STUDIES & VISUAL MAPS (Follow real-world examples and visual frameworks to see exactly how each phase connects to the next.)
SECTION 3: FEATURE ENGINEERING
(Value: 399$) – INCLUDED INTO THE ALPHA QUANT PROGRAM
E-LEARNING (videos)
- ✅ AUTOMATED FEATURE IDEA GENERATION (Learn how to generate new feature ideas from raw market data using statistical, technical, or event-driven logic. Create hundreds of candidates in minutes.)
- ✅ AUTOMATIC FEATURE CODING (Transform your chosen ideas into production-ready Python functions. No manual rewriting, each feature is standardized, documented, and testable instantly.)
- ✅ DOCUMENTATION & TRACEABILITY (Automatically generate feature reports with all metrics, so every research iteration stays transparent and reproducible.)
- ✅ PRACTICAL MINI-PROJECT (Build your first complete feature pipeline, from generation to profiling, fully automated by your AI workflow.)
5 TEMPLATES OFFERED IN THIS SECTION !
Each template corresponds to a key step of the Feature Engineering process, from automated idea generation to final selection and documentation.
SECTION 4: FEATURE INFORMATION
(Value: 299$) – INCLUDED INTO AI TRADING LAB
E-LEARNING (videos)
- ✅ GENERATING RELIABLE AGENT OUTPUTS (Learn how to structure and validate your agents’ responses so they always produce clean, consistent, and exploitable outputs.)
- ✅ UNDERSTANDING AI LIMITS (Identify where automation stops and where expert supervision becomes essential, avoid the typical pitfalls of overtrusting AI models.)
- ✅ OBSERVATION FORMALIZATION METHOD (DSR) (Use a rigorous framework to describe and record the relationships and anomalies observed in your data, turning raw insights into structured knowledge.)
- ✅ HUMAN-IN-THE-LOOP DECISION MAKING (Design a workflow where human reasoning complements AI efficiency, ensuring both precision and interpretability in your research.)
2 TEMPLATES OFFERED IN THIS SECTION !
Output Validation Notebook, DSR Creation Template!
SECTION 5: ALPHA BUILDING
(Value: 399$) – INCLUDED INTO THE ALPHA QUANT PROGRAM
E-LEARNING (videos)
- ✅ ALPHA IDEA GENERATION (Learn how to generate new trading hypotheses automatically by combining statistical relationships, feature interactions, and economic intuition.)
- ✅ FORMULATING TESTABLE ALPHAS (Translate your ideas into structured mathematical expressions ready to be tested. Understand how to express predictive logic clearly and reproducibly.)
- ✅ CREATING STRUCTURED ALPHA FILES (LBP METHOD) (Use a dedicated agent to automatically generate structured alpha sheets using the LBP method, a systematic framework to design robust and economically consistent alphas.)
- ✅ ALPHA CODING AUTOMATION (Automatically transform each alpha formula into Python code that’s clean, consistent, and directly compatible with your data.)
5 TEMPLATES OFFERED IN THIS SECTION !
Each template corresponds to a key step in the alpha creation process, from idea formulation to LBP-based documentation and final validation.
SECTION 6: 7 TRADING STRATEGIES INCLUDED
(Value: 399$) – INCLUDED INTO THE ALPHA QUANT PROGRAM
E-LEARNING (videos)
- ✅ ASSEMBLING ALPHAS INTO COMPLETE STRATEGIES (Learn how to combine several validated alphas into structured trading systems with clear entry, exit, and allocation logic.)
- ✅ STRATEGY DOCUMENTATION CREATION (Automatically generate structured strategy sheets summarizing hypotheses, logic, validation, and risk assumptions.)
- ✅ DESIGNING STRATEGY RULES (Understand how to transform signal timing into practical trading conditions, using volatility filters, thresholds, or multi-factor confirmation.)
2 TEMPLATES OFFERED IN THIS SECTION !
Each template helps you assemble, validate, and document your strategies, including entry/exit logic, position sizing, robustness checks, and structured strategy reports.
🎁 BONUS 1: PRIVATE COMMUNITY + MENTORING
(Value: 499$) – INCLUDED INTO THE ALPHA QUANT PROGRAM
Being stuck when you are learning algorithmic trading can discourage you… I know it, I was in your shoes few years ago!
That’s why I offer for FREE a community and the possibility to contact me directly to ask your questions (7d/7 to have an answer in less than 24H).
🎁 BONUS 2: LIFETIME UPDATES
(Value: 199$) – INCLUDED INTO AI TRADING LAB
AI moves fast, and so does this program.
Every new agent, method, or feature added in the future is yours for free.
Stay ahead of the curve without ever paying again. ⚡️
🎁 BONUS 3 (Only during Black Friday): PRACTICAL EXERCISES
(Value: 399$) – INCLUDED INTO AI TRADING LAB
Practice what you learn with guided exercises designed to help you master each agent and adapt them to your own trading style.
Learn by doing, and turn every concept into a real, working system. ⚙️
With this program, you have everything you need to conceptualize, structure, and document complete trading strategies, even if you’re starting from scratch.
The total value of everything inside is $3,391
But think about it for a second…
Wouldn’t investing $3,391 be worth it to finally learn the real scientific process used by quant teams, and start building your own strategies, faster, clearer, and with confidence?
Well, that’s not what I’m asking you to pay today.
👉 Today, you can get access to the AI Trading Lab for just $297.
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 AI Trading Lab, which is why I have to limit the number of available spots.
Right now, there are only 1 spot left to join the program
🧠Your First Strategy, 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.
You’re All Set. Let’s Build Your Strategy!
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 “AI Trading Lab” modules.
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 AI Trading Lab 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 $297, you’ll get full access to the AI Trading Lab (with expert support) and finally build your first trading bot in less than 28 days.
💎 AI TRADING LAB – The Scientific Process of Strategy Design, Powered by AI Agents
📍 AI Agents & LangChain Foundations (Value: 399$)
✅ Understand how LLMs become controllable research agents through LangChain.
✅ Connect to Groq and configure ultra-fast models with the right parameters.
✅ Master prompt design to structure roles, context, and formats.
✅ Build your first agent workflow to organize multi-step reasoning.
📍 The 4-Step Strategy Conception Framework (Value: 499$)
✅ Learn the complete quant process: from features to strategy design.
✅ Move from raw data to structured hypotheses ready for testing.
✅ Combine features into alphas with clear economic logic.
✅ Assemble full strategies with entry, exit, and position sizing rules.
📍 Feature Engineering (Value: 399$)
✅ Generate and code new market features automatically with AI.
✅ Profile and filter high-value predictors using statistical and information-based metrics.
✅ Document every iteration automatically for full transparency.
✅ Build your first complete, AI-assisted feature pipeline.
📍 Feature Information (Value: 299$)
✅ Validate agent outputs and understand when human control is needed.
✅ Formalize observations in structured reports using the DSR method.
✅ Create a human-in-the-loop workflow to balance automation and judgment.
📍 Alpha Building (Value: 399$)
✅ Generate, formulate, and code alphas automatically from your data insights.
✅ Create structured alpha sheets with the LBP method for robust, explainable logic.
✅ Validate, refine, and document your alphas across assets and regimes.
📍 Strategy Conception (Value: 499$)
✅ Combine validated alphas into coherent strategies ready for testing.
✅ Design entry/exit logic, position sizing, and risk management frameworks.
✅ Automatically generate strategy documentation and consistency checks.
LUCAS’S SUPPORT + EXCLUSIVE BONUSES
🎁 Private Community + Mentoring (Value: 499$)
✅ Ask your questions and get fast answers.
✅ Debugging and direct help on your strategies so you never stay stuck.
✅ A private space for members to collaborate, ask questions, and share progress.
✅ Connect with a motivated community of algo traders helping each other grow.
🎁 Lifetime Updates (Value: 199$)
✅ AI moves fast, every new agent, tool, or method added to the lab is yours for free.
✅ Stay ahead without ever paying again. ⚡️
🎁 Practical Exercises (Black Friday Exclusive) (Value: 399$)
✅ Apply what you learn with guided hands-on exercises.
✅ Master each agent and adapt them to your own trading workflow.
💎 Total Value of Program + Bonuses: $3,391
👉 Today, you get access to everything for just $297
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
© 2025 — Quantreo. All Rights Reserved.