Foresee Markets

The largest IPO in history hits June 12th. SpaceX: rockets, Starlink with 15,000 satellites and 9 million users, and AI infrastructure in orbit. $1.75 trillion valuation. $28.5 trillion addressable market. The thesis: 20x growth from here.Alejandro and Serhii walk through the full picture of the energy problem AI can't solve on Earth, how to submit a COTP through your broker, the real risks, and why Alejandro is going in for 2k shares.⚠️ Past performance does not guarantee future results. IPOs carry elevated volatility. Position sizing and risk management matter as much as the opportunity itself.――――――――――――――――――――⏱️ Timestamps:0:00 – Introduction0:26 – Why SpaceX is the biggest IPO in history0:40 – Life, evolution, and why space is the next frontier1:56 – From the Renaissance to AI — how civilizations leap forward3:12 – The energy problem: crypto → AI → space4:02 – Dyson sphere, Elon sphere, and data centers in orbit5:09 – Why Earth's power grid cannot keep up with AI demand6:06 – The Louisiana data center: 6 gigawatts and a city-sized power problem6:59 – Anthropic's $1B AI lab and what it means for compute demand7:41 – Dyson Sphere as a satellite constellation — the math behind it9:05 – As we colonize space — the first real leap forward for our species9:45 – Fermi's paradox: where is everybody? We are everybody.10:08 – What is SpaceX? Three companies in one10:38 – The grid can't keep up — SpaceX bypasses it entirely11:41 – SpaceX builds the highway, power store, and communication layer for AI in space13:07 – Starship 12 flight test — what's actually inside the rocket14:12 – 75 demo satellites in one launch — the Elon Sphere is already real14:47 – 15,000 satellites already in orbit — half of all satellites on Earth15:10 – The SpaceX fact sheet: $370B today, $22.7T addressable market16:53 – $28.5 trillion industry — and the IPO is in two days17:06 – 555 million shares, $135 per share — the math on 20x growth19:43 – 1.4 terawatts by 2034 — why space-based data centers are inevitable21:13 – Space fixes heat, batteries, and power — the three problems solved22:08 – What runs out next: raw materials and where to get them23:37 – How to participate: COTP — Conditional Offer to Purchase explained24:44 – Call your broker, say SpaceX, June 12th — how it actually works25:05 – Warning: scams to avoid — use Robinhood, Charles Schwab, Interactive Brokers26:02 – Charles Schwab step-by-step: how to find and submit an IPO order27:14 – You don't need $270K — skip two months of Starbucks and you're in28:08 – Risks: no financial history, elevated volatility, market sentiment29:02 – How to set your exit threshold before you buy――――――――――――――――――――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: Are you buying SPCX on June 12th — and how many shares?👍 Like, subscribe, and hit the bell――――――――――――――――――――📹 During the podcast, important visual information is sometimes presented alongside the discussion. For the full experience, we recommend watching the episode on https://youtu.be/iayo78Cpzi0This podcast is intended for educational purposes only and should not be considered financial or investment advice.

What if you could see where the S&P 500 is heading — six hours before it moves?In this episode, Alejandro and Serhii share a pattern they've been tracking for 12 weeks: an indirect correlation between USO (United States Oil Fund) and the S&P 500 with a six-hour lag. When the Strait of Hormuz closed and oil prices spiked, money started moving between systems, and the pattern became impossible to ignore. They walk through the math behind it, show it live on TradingView, and explain exactly how to use it: when USO shifts direction, you have a 24-hour window to enter or exit a position in the S&P 500 before the signal expires.They also break down why this strategy only works in wartime conditions, why USO was flat for five years before this, and what will happen to the pattern once the conflict ends. Plus: how to test it yourself with as little as $700.⚠️ One thing worth knowing before you start: past performance of any pattern does not guarantee future results. Position sizing and risk management matter as much as the strategy itself.――――――――――――――――――――⏱️ Timestamps:0:00 – Introduction1:04 – Why the Strait of Hormuz matters for your portfolio1:26 – How Alejandro tracks oil with USO and the S&P 500 with SPY1:33 – The discovery: USO and S&P 500 are indirectly correlated with a 6-hour lag2:08 – Live chart walkthrough on TradingView — the pattern explained visually3:08 – Why money moves between oil and equities — and how to track it4:29 – How to use USO as a sell signal for your S&P 500 positions5:30 – Serhii breaks down the mathematics behind the correlation8:01 – What is the best lag? How many hours do you have to act?9:14 – Plain English: USO goes down → buy SPY. USO goes up → sell SPY.11:01 – How to test this with $700 and one stock12:25 – The 6-hour window: how long the signal stays valid13:08 – Why this pattern started 12 weeks ago — and when it will stop working13:49 – USO on a 5-year chart: what wartime volatility actually looks like14:38 – How long to use this strategy — and when to stop――――――――――――――――――――🎙️ Foresee Markets — AI, quantitative research, and structured thinking applied to real market conditions. Hosted by Alejandro Ramirez Lemus and Serhii Nikolaiev.🛠 Tools & platforms mentioned in this episode: TradingView https://tradingview.com/💬 Tell us in the comments: What other patterns do you want us to investigate 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://youtu.be/iayo78Cpzi0This podcast is intended for educational purposes only and should not be considered financial or investment advice.

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 – Introduction1:02 – You can't time the market. But you can control your entry price.1:53 – Live portfolio walkthrough: AMD, Google, FIX, UnitedHealthcare, and more3:14 – Why AMD at $431 is still speculation, and what to wait for4:11 – S&P 500 opens red on May 15th: what that signals4:41 – Setting a limit order for AMD at $410 using options5:58 – FIX: bought at $19.50, up $1,500 in one session7:19 – Google: predicted low vs extended hours. How to read the gap8:27 – Three markers to use before every entry9:31 – Why the opening minutes of trading matter10:14 – What AI can and can't tell you about the market11:00 – Recap and weekend outlook――――――――――――――――――――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.――――――――――――――――――――📹 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/@ForeseeMarketsThis 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 ItMost 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 – Introduction1:05 – Google: from $273 to $397 and what drove the move3:56 – Why court proceedings were holding Google back5:13 – April 26 earnings surprise and what's next5:44 – GOOG vs GOOGL: class A shares and voting rights explained8:11 – Seagate Technologies: up 1,200% in one year8:56 – STX earnings history and this week's $50/share move9:33 – How the algorithm picks stocks: live portfolio update10:14 – Why hardware companies win when AI spending accelerates11:50 – Intel, Micron, Western Digital, Nvidia: the full picture13:09 – Bank of New York Mellon and Abu Dhabi: digital asset infrastructure14:18 – $59.4 trillion in assets and the market hasn't moved yet15:15 – Why BNY is a strong entry point in the financial sector――――――――――――――――――――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/@ForeseeMarketsThis 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 – Introduction0:39 – Why the algorithm exited everything1:49 – Cash as a position — what it signals2:23 – Live account walkthrough: three paper portfolios in cash3:02 – Portfolio performance: 25% vs S&P's 5.8% (Jan–May)5:32 – One stock per sector — why this works8:55 – Win rate 33.3% and what it actually means10:35 – What a full cash position tells you about the market13:36 – Overnight gap risk and the 92% recovery rate16:01 – What happens Monday when the algorithm reruns――――――――――――――――――――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.――――――――――――――――――――📹 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/@ForeseeMarketsThis 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 – Introduction1:36 – How the algorithm works — quick recap2:41 – Live portfolio walkthrough3:53 – Calculating the annualised yield8:00 – Current positions and how they were selected11:35 – BKR: bought before earnings without reading the news18:52 – Portfolio hits $18,000 live on screen20:02 – What comes next: bringing this to the public21:31 – Paper trading explained――――――――――――――――――――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.――――――――――――――――――――📹 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 – Introduction0:33 – The idea behind the model1:52 – What is a six-dimensional system?3:40 – Quantum mechanics and the particle metaphor8:46 – Backtest results: 2020–202611:00 – Polymorphic risk — how the system adapts13:15 – Trouble assets: when to exit18:00 – Overnight gap risk analysis22:20 – Live portfolio walkthrough27:00 – How the product works for brokers28:49 – 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

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.

Before you can participate in markets, you need the infrastructure to do so. This episode is about exactly that — opening a brokerage account, understanding the account types available, preparing the right documentation, and navigating the platform from a blank account to a live trade order including what happens when your first order gets rejected and how to adjust it.Alejandro and Serhii walk through the full process on screen. They also get into order types, limit pricing, and what the platform flags when your order can’t be executed — and why — the kind of detail that only becomes clear when you're actually inside the interface.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.

Geopolitical shocks don’t just move headlines — they move markets, currencies, and access to capital. In this special episode of the Foresee Markets Podcast, Alejandro Ramirez Lemus and Serhii Nikolaiev discuss how individuals can think about financial resilience during periods of sudden uncertainty. The conversation explores practical considerations such as digitizing money, maintaining liquidity across borders, and how different asset classes can behave during volatility. A timely discussion on financial preparedness when stability cannot be taken for granted. 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.

Leaving money in cash feels responsible. But inflation doesn't wait, and doing nothing is still a decision.In pilot episode, Alejandro is joined by mathematician and AI researcher Serhii Nikolaiev to break down what it actually takes to move from idle capital to a structured portfolio.They explore acquisition power, liquidity risks, and how sectors like real estate and ETFs really behave when you treat your money like an employee that works 24/7.This episode is not about tips or forecasts. Just clear thinking on where to start — and why most people don't.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.