Trying to understand the power of compounding (aka The Compound Effect), and patiently and consistently trying to put the 'theory' into practice. Not Fin Advice
Avoid risk of ruin, understand what I am doing, buy what might appreciate in value, sell what might decrease in value, minimize risk: position sizing, ride winners, cut losers fast, 9 EMA, support and resistance, keep it simple, patience and discipline. Only do/repeat what works.
High cortisol is the real reason you wake up at 3-4 AM.
It also shaves 5 years off your life — tanks testosterone, locks belly fat, literally shrinks your brain.
If I wanted to fix it without medication, here are 8 things I'd do every day:
1. No food 3 hours before bed.
Before this conversation, I thought I understood Bruno Fernandes.
I knew the numbers. The goals, the assists, the leadership, the criticism he’s faced over the years at Manchester United.
But I didn’t understand the mentality behind it.
Bruno has arguably become United’s greatest player of the post-Ferguson era, carrying their creativity season after season.
He’s won more club player of the year awards than Ronaldo, and only five players have scored more than his 70 league goals.
So I went to Manchester United Training Ground to ask him questions the footballing world wants to know.
Bruno spoke about growing up in Porto, watching his father sacrifice his own football career to provide for the family. He told me his dad never praised him for scoring goals. Instead, he’d point out the small things he still needed to improve.
And somehow that mindset shaped one of the most resilient athletes in world football.
We spoke about:
- Why he believes character matters more than talent in elite teams.
- How dressing room culture determines whether talent succeeds or fails.
- Why taking risks is essential if you want to create anything extraordinary!
- His honest opinion on pressure and why he thinks it’s a privilege.
- His thoughts on having Michael Carrick as a manager.
- Addressing Roy Keane’s criticism.
When you listen to Bruno speak, you understand that what makes him exceptional isn’t just technical ability. It’s his standards.
The standards he holds himself to.
The standards he expects from teammates.
The standards he believes define culture.
I really respect how Bruno chose to join United during instability because he believed in rebuilding something meaningful rather than joining an “easy” project.
I saw a much softer and more thoughtful side of Bruno that I don’t think people will expect. So, thank you Bruno for taking the time to sit down with me and for being so vulnerable.
Even if you don’t care about football, there’s a huge amount to learn from this conversation about leadership, resilience and high performance.
This Nigerian lady who teaches at a school in Japan broke down the Japanese style of learning that makes them very intelligent and productive.
I think this is smart learning. It will be helpful to Nigerian students, if it is adopted in our educational system.✍️
Show me on the doll where Apex disappointed you for the last time.
If you're looking to switch, here is a list of mathematically superior firms with better ROI, bigger payouts, and easier rules, in the same category.
https://t.co/BDGiG2JTAg
A big pivot from Ken Griffin on AI:
“Number one is, in the last few months, there has been a step change in the productivity of the AI toolkit. It is profoundly more powerful than it was just nine months ago.
And for us at Citadel, that has allowed us to unleash a much broader array of use cases for AI. And it has been really interesting to watch, to be blunt, work that we would usually do with people with masters and PhDs in finance over the course of weeks or months being done by AI agents over the course of hours or days.
These are not these are not mid-tier white collar jobs. These are like extraordinarily high skilled jobs being, I'm going to pick a word, automated by agentic AI. And I gotta tell you, I went home one Friday actually fairly depressed by this because you could just see how this was going to have such a dramatic impact on society.
When you witness it in your own four walls, when you see work that used to be man years of work being done in days or weeks, it's like, wow, like that's the first time I've seen real impact in our four walls.”
This echoes my own experience with agents and the conversations I am having with students, friends & clients. The toolkit has dramatically transformed and it feels like in finance, for the first time, AI is real.
⚡️This is the moment AI stops being a productivity tool and becomes a replacement architecture for elite cognitive labor.
Citadel is not a random corporation automating low-level admin. It is one of the most competitive intelligence machines in finance. The work Griffin is describing sits near the top of the white-collar pyramid: research, modeling, financial reasoning, market analysis, scenario work, probably pieces of strategy design and investment process. If that work is moving from “PhDs over months” to “agents over days,” then the protected class is no longer protected by intelligence alone.
That is the earthquake.
For years, the comforting story was that AI would eat repetitive white-collar work while elite judgment stayed safely human. That story is breaking. The machine is now moving into work that looked elite because it required credentials, stamina, math, domain knowledge, and long-form synthesis. A lot of that work turns out to be decomposable into agentic loops: gather data, structure problem, run model, test variants, summarize findings, compare assumptions, stress scenarios, refine output, escalate uncertainty.
That does not eliminate the human at the top. It makes the top human massively more leveraged. The portfolio manager, senior analyst, or strategist who can frame the right question and judge the output becomes more powerful. But the pyramid underneath them gets thinner. The machine does the grind. The human becomes conductor, evaluator, risk owner, and taste layer.
That breaks the apprenticeship model.
The junior analyst’s old job was not just to produce work. It was to become someone through the work. The grind built pattern recognition. The model-building built intuition. The memo-writing built synthesis. The repetition built judgment. If agents now do the repetition, firms get efficiency today while quietly destroying the training pipeline that produced senior judgment tomorrow.
That is the social bomb inside this.
Finance can automate the ladder faster than it can rebuild the ladder. Law, consulting, software, accounting, corporate finance, marketing, research, medicine, and education all face the same problem. The entry-level layer was always partly inefficient, but it was also how humans absorbed tacit knowledge. AI attacks the inefficiency and accidentally attacks the formation process.
The winners become extremely powerful.
One elite operator with agents can produce what used to require a team. One small fund can run research breadth that used to require institutional scale. One independent analyst with the right workflow can compete far above their formal weight class. That is the opening.
But inside big institutions, the same force compresses headcount. Fewer juniors. Fewer middle managers. Fewer generic analysts. More pressure on everyone to prove actual judgment. The credential stops being enough. The market asks a colder question: can this person command the machine toward truth better than someone else?
That is the new meritocracy.
The most valuable skill becomes agentic command: knowing what to ask, how to decompose a problem, which outputs are fake, where the hidden assumption lives, when the model is overconfident, what data matters, what contradiction breaks the thesis, and when the machine has produced coherence without truth.
Griffin feeling depressed is the tell. He saw the labor impact inside the walls before the public narrative caught up. This is not about a chatbot writing emails. This is about high-end cognitive production being mechanized.
AI is revealing that a shocking amount of elite knowledge work was structured pattern labor protected by credential scarcity.
Once agents can perform that pattern labor, the real scarce asset becomes judgment under uncertainty.
Everyone else gets repriced.
99% of options traders are gambling because they never learned the fundamentals.
This 1-hour Yale lecture changes everything.
In just 60 minutes, you’ll learn more about options trading than most overpriced trading courses ever teach.
No hype. No fake gurus. Just real knowledge.
Save this and watch it without distractions. 📌
Cancelé $2.000/mes en suscripciones de Trading
Reemplacé casi todo por repositorios Open-Source 100% gratis
Este es el stack completo:
1. TradingView Pro ($30/mes) → lightweight-charts
14K estrellas. Creado por el propio equipo de TradingView. 45KB. Gratis.
> https://t.co/VqpSa8RNuR
2. Bloomberg Terminal ($2.000/mes) → fredapi + Claude
Acceso a todos los datasets macroeconómicos publicados por la Fed mediante API gratuita
> https://t.co/1dvvJRkXVB
3. Plataforma de backtesting ($100/mes) → prediction-market-backtesting
Fork de NautilusTrader con adaptadores para Polymarket y Kalshi
> https://t.co/wzFhoGQNbG
4. Ingeniería inversa de estrategias → polybot
Infraestructura de ejecución y datos de mercado con paper trading.
Kafka, ClickHouse y Grafana como pipeline completo de analíticas
> https://t.co/x3rufeBuyX
5. Paper trading para agentes IA → polymarket-paper-trader
Order books reales, modelo exacto de fees y tracking de slippage tu agente de Claude recibe $10K ficticios para operar
> https://t.co/kp9IZyacpF
6. Ahorro de tokens → rtk
Proxy CLI que reduce entre un 60-90% el consumo de tokens en Claude Code
escrito en Rust, binario único y compatible con 10 herramientas IA
> https://t.co/9n4E6OdxA6
7. Claude Code ($200/mes) → goose
35K estrellas. Desarrollado por Block (Jack Dorsey). Escrito en Rust. Funciona con cualquier LLM y ofrece un loop completo de agentes IA
> https://t.co/S8SDZjNbwz
Antes: +$2.600/mes
Ahora: prácticamente $0
Guárdate este post, me lo agradecerás. 🔖
Jim Simons: "If you're going to trade using models, you just slavishly use the models. You do whatever the hell it says, no matter how smart or dumb you might think it is at that moment."
The best trader in history said this in a 1 hour MIT talk that shaped my entire approach to trading.
Bookmark it. Watch it. Then read the article below.
Once you learn to trade, you’ve won in life.
- No 9-5
- No networking
- No asking for vacation
There’s no better playing field in the world.
And the skill is yours forever.
Paul Tudor Jones predicted the 1987 crash, made $100 million, then spent years trying to destroy this footage
you will watch him lose $6 million in one afternoon, sit in his chair and say "total devastation" then make it all back with 100% interest
This documentary will change how you think about risk forever
Bookmark & watch it. Then read the post below - $90 billion from being right just 54% of the time↓
Every trading style has a cost.
- High win rate = leaving money on the table
- Short timeframes = anxiety and overtrading
- Longer holds = sitting with uncertainty for days
- High reward setups = long stretches of nothing
You're always paying a price in this game.
I chose patience and concentration.
- Few tickers
- Few trades
- Long waits
That's my price.
Find yours and stop fighting it.
Today, history was made.
The United Nations General Assembly has passed the resolution declaring the trafficking of enslaved Africans and the racialised chattel enslavement of Africans as among the gravest crimes against humanity.
This historic vote marks a significant step forward in the global pursuit of truth, accountability, and reparatory justice. For generations, communities across the African diaspora have carried the weight of this injustice. Today, the world has taken an important step toward acknowledging that truth.
We honor those who fought, those who suffered, and those who continue to demand justice. The vote is not the end of the journey. It is the beginning of a new chapter.
The work continues.