Trade Watcher

⚡️ JUST IN: A Tesla $TSLA and SpaceX $SPCX merger could reportedly be announced as early as December. ✅ Trade on WEEX 💸

⚡️ JUST IN: Jensen Huang reportedly had an “intimate relationship” with a second Nvidia employee, per Reuters. This marks the third alleged affair for the now-former Nvidia CEO. ✅ Trade on WEEX 💸

⚡️ JUST IN: Trump Administration reportedly considers firing Commerce Secretary Howard Lutnick over China chip scandal. Reports say Lutnick stalled curbing chip sales to China. ✅ Trade on WEEX 💸

⚡️ JUST IN: Kalshi ends Trump Jr.'s advisor contract, a spokesperson confirmed to Reuters. ✅ Trade on WEEX 💸

📈 Size Trades From Risk Per Unit A promising setup can still expose too much of your account if you choose the trade size without checking the potential loss. Position sizing controls how much capital a single losing trade can put at risk, however attractive the opportunity looks. The key link is risk per unit: the same number of shares can carry different risk when the distance between entry and stop changes. Van Tharp’s CPR formula makes that relationship explicit:

position size = capital at risk / risk per unit

For example, if you choose to risk 1% of a $100,000 account, your risk budget is $1,000. With a stock stop $10 below entry, the risk per share is $10, so the formula gives 100 shares; the 1% is an illustration, not a recommendation for every trader. Before placing the trade, check both your current account equity and the risk per unit. If you use a fixed percentage risk budget, recalculate the position size as equity changes so the planned risk remains aligned with your chosen percentage. ✅ Trade on WEEX 💸

⚡️ JUST IN: US stocks add over $1 trillion in market value in just two hours. ✅ Trade on WEEX 💸

⚡️ JUST IN: Iran reportedly launches a large anti-ship missile salvo at US Navy warships in the Arabian Sea. ✅ Trade on WEEX 💸

⚡️ JUST IN: Trump calls for former Apple CEO Tim Cook to become Nvidia’s next CEO, $NVDA. “A legend replaces a legend,” Trump says. ✅ Trade on WEEX 💸

⚡️ JUST IN: Alice Huang's companies reportedly invested in DeepSeek, promising Nvidia $NVDA chips. ✅ Trade on WEEX 💸

⚡️ JUST IN: Nvidia $NVDA was downgraded by Bernstein, Oppenheimer, William Blair, Evercore and Melius, with Bernstein halving its price target to $200 from $400. ✅ Trade on WEEX 💸

⚡️ JUST IN: OpenAI raises $15 billion at a $1.25 trillion valuation, valuing Sam Altman's company above almost every public company on Earth. ✅ Trade on WEEX 💸

In the United States, mortgage rates have fallen for the fourth consecutive week, encouraging home purchases. The 30-year mortgage rate fell to 7.21%, its lowest in nearly a month. Home-purchase applications rose 7.5% week-on-week, the strongest increase since mid-April. ✅ Trade on WEEX 💸

⚡️ JUST IN: Nvidia $NVDA crashes 10% after Jensen Huang resigns as CEO. Kress becomes interim CEO and keeps her CFO role. ✅ Trade on WEEX 💸

⚡️ JUST IN: Nvidia $NVDA names Harvey Jones first-ever board chair. ✅ Trade on WEEX 💸

⚡️ JUST IN: Nvidia $NVDA CEO Jensen Huang has resigned as CEO, President, and board member, effective immediately. ✅ Trade on WEEX 💸

⚡️ JUST IN: Nvidia $NVDA CEO Jensen Huang is out, with CFO Colette Kress named interim CEO while the board searches for a permanent successor. ✅ Trade on WEEX 💸

⚡️ JUST IN: US weekly jobless claims rose to 200K vs 195K expected, while continuing claims came in at 1.697M vs 1.710M expected, per the US Labor Department. ✅ Trade on WEEX 💸

⚡️ JUST IN: Strategy (MSTR) plunges 6% after news of its removal from MSCI indices. JPMorgan estimates $2.5 billion in index selling at the end of the month, while Metaplanet is also being removed. ✅ Trade on WEEX 💸

⚡️ JUST IN: Trump threatens to double tariffs on Mexico if it does not stop “caravans” heading to the US. ✅ Trade on WEEX 💸

📈 AI Focus Shifts to Efficiency AI cost effectiveness is becoming a hot topic. As AI adoption accelerates, focus is shifting from more powerful models to maximizing value per dollar. Not every task requires the most expensive or advanced AI model. The global AI inference software market is projected to grow from $21.1 billion in 2026 to $80.9 billion by 2033, or +283%. At scale, companies will need to cut costs without sacrificing performance. The next phase of AI is about efficiency, not just computing power. ✅ Trade on WEEX 💸