Try for free
Foresee Markets
Foresee Markets

Episode 7: The Six-Dimensional System That Beats the Market

19 May 2026 29:15 Foresee Markets

Listen to episode

About this episode

Most people have heard of the stock market. Very few understand what's actually moving it.

In this episode, Alejandro and Serhii walk through the full system live on screen — what the six-dimensional model is, how it measures a stock's position inside its sector, how risk morphs over time, and how the algorithm decides to buy, hold, trim or exit. With real backtest results from 2020 to 2026.

No predictions. No hype. Just the infrastructure, explained clearly for anyone who wants to understand how a quantitative system actually works.
One thing worth knowing before you dive in: a 37% win rate can still beat the S&P by 2x — if the system manages risk better than the market does.
Foresee Markets — AI, quantitative research, and structured thinking applied to real market conditions. Hosted by Alejandro Ramirez Lemus and Serhii Nikolaiev.

⏱️ Timestamps:
0:00 – Introduction
0:33 – The idea behind the model
1:52 – What is a six-dimensional system?
3:40 – Quantum mechanics and the particle metaphor
8:46 – Backtest results: 2020–2026
11:00 – Polymorphic risk — how the system adapts
13:15 – Trouble assets: when to exit
18:00 – Overnight gap risk analysis
22:20 – Live portfolio walkthrough
27:00 – How the product works for brokers
28:49 – Recap & next steps

---

Foresee Markets — AI, quantitative research, and structured thinking applied to real market conditions.

🎙️ Hosted by Alejandro Ramirez Lemus and Serhii Nikolaiev.

---

💬 Tell us in the comments: What part of the system do you want us to go deeper on next? Like, subscribe, and hit the bell so you never miss an episode of Foresee Markets.

---

📹 During the podcast, important visual information is sometimes presented alongside the discussion. For the full experience, we recommend watching the episode on https://www.youtube.com/@ForeseeMarkets

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Foresee Markets. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support