đ¨ Bitcoin Volatility Alert đ¨ Bitcoin has slipped below the $70K level, dropping over 6% intraday and now sitting more than 40% down from its $126K peak last October. Prediction markets are hinting that $65K could be the next key level to watch. With BTC moving, crypto-related stocks like $IBIT, $COIN, and $MSTR may see increased volatility. đ Key levels to watch: ⢠Support: ~$65K ⢠Sentiment: Turning cautious short-term ⢠Opportunity: Potential accumulation zone if strong support holds Are you buying the dip, holding, or staying on the sidelines? #Bitcoin #Crypto #BTC #StockMarket #Trading #TigerTrade
$Oracle(ORCL)$ The AI rally is no longer driven by hype â earnings now decide the next move.â¨This week, Oracle (ORCL) becomes one of the most important reality checks for the entire AI sector. Why this matters: ⢠Oracle reflects real enterprise AI usage, not just chip demandâ¨â˘ Markets are priced for near-perfect growthâ¨â˘ Even âgood but not greatâ guidance could trigger an AI pullbackâ¨â˘ A strong beat = next leg up for AI stocksâ¨â˘ Weak cloud growth = valuation reset risk Nvidia shows AI supply. Oracle shows AI demand. This is a volatility event, not just an earnings report. â Breakout â momentum continuesâ¨â Rejection â short-term AI top AIâs next chapter may be decided by Oracle. đŹ Bullish confirmation or reality check â whatâs your view?
[IDEA] My Simple but Effective Buy Rule for Long-Term Investors View: Only buy companies you believe will still be dominant in 20 years â and only when they are undervalued. Reasons:â¨A lot of people say âjust buy and hold,â but that only works if youâre buying high-quality assets at reasonable prices.â¨I use a simple comparison: An LV bag is good quality, but you wouldnât pay $10k for something worth $1k.â¨Stocks work the same way. I focus on companies like Apple, Microsoft, Amazon, Costco â businesses with strong balance sheets, sticky ecosystems, and consistent free cash flow. But even great companies can become bad investments if bought at overpriced valuations. My rule: * Identify quality businesses * Monitor their long-term moat * Wait for periods of fear or broad market corrections * A
đ Market Patterns Donât Lie: Why Iâm Watching the Next 3 Months Closely One thing Iâve learned from trading over the years is that markets move in cyclesâsometimes loud, sometimes subtle, but always present if you know where to look. A fascinating stat many overlook: * Markets typically see a correction every 3 months * A significant pullback or major event every year * And roughly double in size every 10 years (driven by innovation, population growth, productivity, tech, and monetary expansion) Right now, with global rates stabilising and earnings holding up stronger than expected, Iâm keeping a close eye on:â¨đš Tech and AI leaders consolidating after big runsâ¨đš Energy stocks reacting to geopolitical shiftsâ¨đš Financials benefiting from early signals of rate cuts My strategy for the next 90
đ Market Patterns Donât Lie: Why Iâm Watching the Next 3 Months Closely One thing Iâve learned from trading over the years is that markets move in cyclesâsometimes loud, sometimes subtle, but always present if you know where to look. A fascinating stat many overlook: * Markets typically see a correction every 3 months * A significant pullback or major event every year * And roughly double in size every 10 years (driven by innovation, population growth, productivity, tech, and monetary expansion) Right now, with global rates stabilising and earnings holding up stronger than expected, Iâm keeping a close eye on:â¨đš Tech and AI leaders consolidating after big runsâ¨đš Energy stocks reacting to geopolitical shiftsâ¨đš Financials benefiting from early signals of rate cuts My strategy for the next 90