📊 US February jobs report signals labor market cooling

The latest US labor market data came in mixed, with job growth sharply missing expectations while wage growth stayed firm.

🔴 Nonfarm Payrolls: -92K vs +59K expected
🟡 Unemployment rate: 4.4% vs 4.3% expected
🟡 Average hourly earnings: +0.4% M/M vs +0.3% expected
🟡 Average hourly earnings: +3.8% Y/Y vs +3.7% expected

Nonfarm Payrolls measure how many jobs were added or lost across the US economy, excluding farming. A negative print signals contraction in hiring.

The unemployment rate rising to 4.4% suggests the labor market is starting to soften, but wage growth remaining strong indicates inflation pressure from salaries is still present.

For markets, weaker employment with still rising wages complicates the Federal Reserve’s outlook on rate cuts.

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🎙 Stan Druckenmiller on edge, sizing, and nerve

Stan Druckenmiller’s latest interview with Morgan Stanley is worth your time. A lot of it cuts straight to how real money is made.

📊 Contrarianism is overrated. The crowd is right 80% of the time. Just don’t get trapped in the other 20%.

📊 Edge is not being right. It’s sizing when you’re right and cutting when you’re wrong. Pure Soros playbook.

📊 You don’t need to understand every detail. He couldn’t spell Nvidia. He trusted smarter people on the tech and made the call.

📊 Volatility is not the enemy. It’s your entry if you have conviction.

📊 TA and price/news signals worked until everyone learned them. Edge fades once it becomes consensus.

📊 Courage matters more than wisdom. He says he’s smarter now, but was a better PM in his 30s because he had more nerve.

📊 Scars stay. Mistakes are just moments. Move on.

📊 Teva sat between growth and value. Nobody wanted it. That’s where opportunity lives.

📊 Watch where the smartest young people go. He tracked Stanford kids moving from crypto to AI before it was obvious.

📊 Knowing something is big doesn’t mean you’ll hold it perfectly. He sold Nvidia at 800. It went to 1400.

📊 Pattern recognition compounds. There’s no shortcut. Just decades of reps.

Hard to argue with 40 years of scars and sizing.

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⚠️ Key Events This Week

The week is centered around US inflation. Wednesday brings the February CPI report, while Friday delivers a dense macro block with the Fed’s preferred inflation gauge, GDP data, and labor market indicators. Markets will mainly be watching whether inflation continues to cool or remains sticky enough to delay rate cuts.

🟡 Monday

● US Daylight Saving Time shift

US markets move to daylight saving time, which shifts the trading schedule relative to Europe and other regions. For many traders outside the US, the New York session and US data will arrive one hour earlier.

🟡 Tuesday

● Oracle $ORCL earnings
● Existing Home Sales

Oracle earnings may influence sentiment around enterprise tech and AI infrastructure. Housing data gives a quick read on demand in the US property market under current mortgage rates.

🔴 Wednesday

● February CPI Inflation data

This is the key macro release of the week. The report shows how quickly consumer prices are rising and strongly influences expectations for Federal Reserve rate policy.

🔴 Thursday

● Initial Jobless Claims
● Adobe $ADBE earnings

Jobless claims provide an early signal of labor market conditions. Adobe earnings will be watched for signals about enterprise software demand and broader tech spending.

🔴 Friday

● Core PCE Inflation data
● Q4 GDP data
● JOLTS Job Openings
● Consumer Sentiment

Main focus: Wednesday’s CPI and Friday’s macro cluster.

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⚡️ JUST IN: US military has been put on high alert for a ground invasion in Iran.

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⚡️ JUST IN: G7 official says energy ministers meet Tuesday and leaders later this week, with leaders likely deciding on oil reserve releases as timing and analysis are still needed.

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🃏 5 Poker Lessons That Make You a Better Trader

One of the largest hedge funds in the world trains traders with poker.

Jeff Yass built Susquehanna into a $500B+ firm, and poker is part of their internal training.

The logic is simple.

Poker teaches the same skills that define good traders: probability thinking, risk control, position sizing, and emotional discipline during variance.

Here are five poker concepts that translate directly into trading.

📊 Position sizing

Even pocket aces lose about 1 out of 5 times in Texas Hold’em. If a player pushed their entire bankroll every time, they would eventually go broke.

Trading works the same way. Even the best setup loses sometimes. Large position sizes turn normal losing streaks into deep drawdowns. Professionals focus on how much they can afford to lose. Survival through variance is the game.

📊 Table selection

Even the 10th best poker player will struggle if everyone at the table is elite.

Markets behave similarly. Many retail traders jump straight into the most competitive arenas like major FX pairs or index futures. Less crowded markets often offer better opportunities because large institutions cannot deploy capital there efficiently.

📊 Conviction should change size

In poker, stronger hands justify larger bets.

Many traders ignore this and use the same size on every trade. Experienced traders scale exposure with conviction. When the setup is strong, size increases. When conditions are unclear, size stays small or the trade is skipped.

📊 Process over outcome

A correct decision can still lose money. A bad decision can still win.

Short term results are driven by variance. Professionals judge the decision, not the single outcome. The key question is whether the system was followed.

📊 Emotional resilience

Poker forces players to deal with swings. There will be losing streaks and hot streaks.

The best players focus only on the next decision. Traders need the same mindset. Execute the process and let probabilities play out over many trades.

Poker compresses the core lessons of trading into one game: probabilities, discipline, and risk management. No surprise some of the best trading firms still use it as training.

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Oil pumped nearly 30% intraday and erased the entire move in the same day.

One of the most violent single-day reversals the market has seen in decades.

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