Everyone knows you can't time the market. But most people don't realise there's something you actually can control — the price at which you enter.

In this episode, Alejandro walks through his personal live portfolio on screen and breaks down exactly how he sets daily entry targets for stocks like AMD, Google, and FIX using a combination of the prediction algorithm, extended hours trading data, and limit orders.

The result: he bought FIX at $19.50, watched it climb to $19.71, and made $1,500 in a single session. Enough to cover a Friday night out paid for entirely by the market.

He also explains why the S&P 500 opening in the red on May 15th was actually a signal to buy, not a reason to panic. And why Friday afternoon before market close is one of the most overlooked entry windows of the week.

Three things to watch before placing any entry order. Why the opening minutes of trading can give you a better price than you expected. And why AI is a powerful tool for understanding trends, but not a crystal ball.

One thing worth knowing: these are tools, not guarantees. The market rewards preparation, not prediction.

⏱️ Timestamps:

0:00 – Introduction

1:02 – You can't time the market. But you can control your entry price.

1:53 – Live portfolio walkthrough: AMD, Google, FIX, UnitedHealthcare, and more

3:14 – Why AMD at $431 is still speculation, and what to wait for

4:11 – S&P 500 opens red on May 15th: what that signals

4:41 – Setting a limit order for AMD at $410 using options

5:58 – FIX: bought at $19.50, up $1,500 in one session

7:19 – Google: predicted low vs extended hours. How to read the gap

8:27 – Three markers to use before every entry

9:31 – Why the opening minutes of trading matter

10:14 – What AI can and can't tell you about the market

11:00 – Recap and weekend outlook

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

🎙️ Hosted by Alejandro Ramirez Lemus and Serhii Nikolaiev.

💬 What theme do you want us to cover next? Leave it in the comments. Like, subscribe, and hit the bell so you never miss an episode of Foresee Markets.

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📹 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

This podcast is intended for educational purposes only and should not be considered financial or investment advice.

Episode 10: Google Is Up 45%. Seagate Is Up 1,200%. Here's What's Actually Driving It

Most people see a stock spike and think they missed it. This episode explains why some of these moves are just getting started.

Alejandro and Serhii break down three stories moving the market right now: Google's 45% run from $273 to $397, what the earnings surprise meant, and the difference between GOOG and GOOGL that most retail investors ignore. Then Seagate Technologies, up 1,200% over the last year, why hardware companies are the quiet winners of the AI race, and why STX keeps beating earnings expectations. And finally, Bank of New York Mellon's partnership with Abu Dhabi to build digital asset infrastructure in the UAE. $59.4 trillion in assets under custody. And the market hasn't priced it in yet.

One thing worth knowing before you start: past performance of any stock does not guarantee future results. Position sizing and risk management matter as much as the strategy itself.

⏱️ Timestamps:

0:00 – Introduction

1:05 – Google: from $273 to $397 and what drove the move

3:56 – Why court proceedings were holding Google back

5:13 – April 26 earnings surprise and what's next

5:44 – GOOG vs GOOGL: class A shares and voting rights explained

8:11 – Seagate Technologies: up 1,200% in one year

8:56 – STX earnings history and this week's $50/share move

9:33 – How the algorithm picks stocks: live portfolio update

10:14 – Why hardware companies win when AI spending accelerates

11:50 – Intel, Micron, Western Digital, Nvidia: the full picture

13:09 – Bank of New York Mellon and Abu Dhabi: digital asset infrastructure

14:18 – $59.4 trillion in assets and the market hasn't moved yet

15:15 – Why BNY is a strong entry point in the financial sector

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

🎙️ Hosted by Alejandro Ramirez Lemus and Serhii Nikolaiev.

💬 Which stock do you want us to analyse next? Leave it in the comments. 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

This podcast is intended for educational purposes only and should not be considered financial or investment advice.

On May 1st, 2026, the algorithm did something unexpected — it exited all positions and moved to cash. No stocks to buy. No trades to place. Just a signal that said: wait.

In this episode, Alejandro and Serhii explain why that's not a failure — it's the system working exactly as intended.

They walk through three live paper accounts sitting entirely in cash, a portfolio that returned 25% from January to May while the S&P 500 returned 5.8% over the same period, and a recovery rate of 92% on overnight gap exits — meaning when the algorithm said sell, it almost always knew when to get back in.

The core insight: holding cash is a position. And knowing when not to buy is just as valuable as knowing what to buy.

One stock per sector. Always the top performer. Rotated out the moment something better appears. A win rate of 33% — and still 25% return in four months.

The algorithm doesn't predict. It measures. And sometimes what it measures tells you to do nothing.

⏱️ Timestamps:

0:00 – Introduction

0:39 – Why the algorithm exited everything

1:49 – Cash as a position — what it signals

2:23 – Live account walkthrough: three paper portfolios in cash

3:02 – Portfolio performance: 25% vs S&P's 5.8% (Jan–May)

5:32 – One stock per sector — why this works

8:55 – Win rate 33.3% and what it actually means

10:35 – What a full cash position tells you about the market

13:36 – Overnight gap risk and the 92% recovery rate

16:01 – What happens Monday when the algorithm reruns

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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: Would you trust an algorithm to move you to cash automatically? Like, subscribe, and hit the bell so you never miss an episode of Foresee Markets.

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📹 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

This podcast is intended for educational purposes only and should not be considered financial or investment advice.

Two weeks. $387,000 deployed. $17,500 returned. Zero manual trades.

In this episode, Alejandro and Serhii check back in on the live paper portfolio and the numbers are hard to ignore. The algorithm ran completely on its own, selected four stocks from a universe of 3,000 assets, managed trail stops automatically via API, and produced a 2.2% weekly gain. Annualised, that's 116%.

No news feed. No human intervention. Just technical data, volume analysis, and how each stock was performing against its benchmark and the S&P 500.

They also walk through BKR Baker Hughes which the algorithm bought right before a strong earnings call, without reading a single headline. The system identified the signal from technical data and volume analysis alone. Then, live on screen during the episode, the portfolio crossed $18,000 in gains.

No predictions. No hype. Just a system doing exactly what it was built to do.

⏱️ Timestamps:

0:00 – Introduction

1:36 – How the algorithm works — quick recap

2:41 – Live portfolio walkthrough

3:53 – Calculating the annualised yield

8:00 – Current positions and how they were selected

11:35 – BKR: bought before earnings without reading the news

18:52 – Portfolio hits $18,000 live on screen

20:02 – What comes next: bringing this to the public

21:31 – Paper trading explained

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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 would you want the algorithm to analyse next? Like, subscribe, and hit the bell so you never miss an episode of Foresee Markets.

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📹 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

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

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

🎙️ Hosted by Alejandro Ramirez Lemus and Serhii Nikolaiev.

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💬 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.

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📹 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

A lot of people are curious about crypto but don't know where actually to start, not because it's complicated, but because no one explains the basics without assuming you already know them.

In this episode of the Foresee Markets Podcast, Alejandro and Serhii walk through everything from scratch, live on screen. What crypto actually is, how to set up a MetaMask wallet, how to fund it using fiat, and how to spend it in a real store using the Coinbase debit card.

Alejandro sets up the full infrastructure during the episode. Serhii provides the systems context — how blockchains, tokens, wallets, and exchanges connect.

The key honest point from the conversation: crypto is not a traditional currency. It doesn't preserve value the way cash does — it moves with the market. Understanding that risk before you enter is what makes the difference.

One reminder worth repeating: your private keys are your responsibility. Never share them. If lost, there is no recovery — unlike a bank account.

A practical, no-hype episode for anyone who's been waiting for a clear starting point.

During the podcast, important visual information is sometimes presented alongside the discussion. For the full experience, we recommend watching the episode on YouTube.

This podcast is intended for educational purposes only and should not be considered financial or investment advice.

In October 2025, a stock dropped 50% in a single session. Alejandro had been watching it — and the volume data had been signalling something was wrong for weeks before it happened.

This episode walks through that case study in detail on a live chart. The core observation: when you see unusually high volume with almost no price movement, that is not noise. It means large participants are exchanging positions without moving the market — and a significant price move is likely to follow. Whether it goes up or down depends on the broader context, but the signal itself is reliable.

Alejandro and Serhii also cover how to use trail stop-losses to protect open positions, why after-hours order placement matters, and how to track a stock against its sector benchmark — in this case consumer staples via XLP — to anticipate broader selloffs before they hit individual positions.

The lesson is not to avoid volatile stocks. It is to read the data they are already giving you.

During the podcast, important visual information is sometimes presented alongside the discussion. For the full experience, we recommend watching the episode on YouTube.

This podcast is intended for educational purposes only and should not be considered financial or investment advice.

A $1,000,000 portfolio built on AI-driven equity selection returned 62% over the period — compared to 46% on the S&P 500 over the same timeframe. That's 16 percentage points ahead of the benchmark on a fully automated system. 

In this episode, Alejandro walks through how that system actually works — starting from a universe of 3,100 companies filtered by market capitalisation ($400M+ threshold) and liquidity, down to 127 investable positions selected by the algorithm. Serhii walks through the mathematical logic behind the filtering and portfolio construction. 

They also address something most quantitative content avoids: the limitations. The system underperformed early while it was learning. There were periods where the S&P recovered faster. And AI cannot process unstructured signals like geopolitical events unless explicitly programmed to — that gap still requires human judgment. 

The takeaway is not that automation beats everything. It's that the right combination of systematic discipline and informed oversight is what actually outperforms. 

During the podcast, important visual information is sometimes presented alongside the discussion. For the full experience, we recommend watching the episode on platforms where the video version is available.

This podcast is intended for educational purposes only and should not be considered financial or investment advice.

Several weeks ago, Alejandro and Serhii built a portfolio based on a straightforward thesis: during supply shocks, commodity ETFs and broad equity markets tend to move in opposite directions. The portfolio — built around oil, wheat, corn and diversified commodity funds — has since grown by 13.04% while the S&P 500 declined by 1.89% over the same period. 

This episode walks through why that happened. The difference between owning a commodity and owning a commodity company. How oil supply disruptions create negative correlation with equities. Why Exxonand crude oil diverged sharply over the same five-day window. All of it shown on screen, with live data. 

The numbers are real. The portfolio is real. The analysis is grounded in what markets actually did, not what they were supposed to do. 

During the podcast, important visual information is sometimes presented alongside the discussion. For the full experience, we recommend watching the episode on platforms where the video version is available.

This podcast is intended for educational purposes only and should not be considered financial or investment advice.

The same geometric pattern in the S&P 500 that appeared during the 2018–2020 period and repeated through 2025 is showing up again in March 2026. Different macroeconomic triggers each time — tariffs, a pandemic, geopolitical tension — but the same market structure on the chart.

In this episode, Alejandro and Serhii map all three cycles side by side on live SPY data. Based on prior cycles, they identify early April as a potential inflection point where the current drop may begin to stabilise. They're clear that this is pattern recognition, not prediction — and that the math can be misleading.

They also discuss where they are personally positioning capital while waiting for the market to find its floor, including short-duration government bonds currently yielding around 4%.

During the podcast, important visual information is sometimes presented alongside the discussion. For the full experience, we recommend watching the episode on platforms where the video version is available.

This podcast is intended for educational purposes only and should not be considered financial or investment advice.