To The Moon

My prediction is for oil prices to stay on the high side and soon it will rise to over $100 again. Most if not all countries are dependent on oil, especially after the post-covid recovery period as oil is much needed to drive their economies. The case of renewabke energy replacing oil can be seen as very remote. Yes it might replace oil one day but definitely not in the next 20 or 30 years I dare say. Countries are slow in adpting to electric vehicles and ICE vehicles will continue to compete with EVs. With the ongoing political tensions especially within the oill producing block, oil prices cannot help but will keep its sttength moving toward $100 and beyond. You can safely bet on that if you just look around at what countries are quarrelling about in trying to dominate the oil sector. US

On Friday, financial markets experienced a tumultuous session. The $DJIA(.DJI)$ recorded a 0.8% decline, the $S&P 500(.SPX)$ dropped 1.2%, while the $NASDAQ(.IXIC)$ fell by 1.6%. This decline followed a rebound observed the previous day, which turned out to be a false alarm, according to analysts. The session was characterized by high volatility due to the convergence of several events. Most active stocks : $Tesla Motors(TSLA)$ $NVIDIA Corp(NVDA)$ $Apple(AAPL)$ Most active stocks Key Events of the Week: The week was marked by seve

Many readers here are mostly beginners to stocks and options, and the allure of high-risk day trading strategies can be tempting but also daunting. Instead of sharing a day trading options strategy that involves super high risk, I will be sharing a relatively low-risk strategy with around an 84% win rate. It's designed to help those new to options trading build wealth steadily while managing risks. [Allin] Choosing the Right Stock GOOG Daily Chart First and foremost, selecting the right stock is crucial. For this example, I am using $Alphabet(GOOG)$, a large-cap, relatively low-volatility stock. I sold $GOOG 20231027 123.0 PUT$ on 11 Sep and

🌟🌟🌟$Tesla Motors(TSLA)$ Tesla's share price dropped 5% on Friday after it cut prices on some models in the US and reduced its premium driver assistance software. However its share price is still up 126% year todate. Tesla has cut the US price of its full self driving (FSD) driver assistant software by 20% to USD 12,000 from USD 15,000 in the US and by CAD 3,500 in Canada from USD 19,500 to USD 16,000. Tesla has also just launched a new Model 3 sedan in China. This is the 1st time Tesla has rolled out a vehicle in China ahead of the US. This vehicle is being built at Tesla's Shanghai Giga Factory and has a starting price which is 12% higher than the previous older model. In raising t

The "August curse” has occurred, the $S&P 500(.SPX)$, $NASDAQ(.IXIC)$ , $DJIA(.DJI)$ closed down 1.77%, 2.17% and 2.36%, respectively, on a monthly basis.September is usually the worst month for U.S. stocks in history.According to CFRA data, since 1945, the $S&P 500(.SPX)$ has fallen more than half the time in September since 1945, with an average return of -0.73%.But this September may not be as bad as history predicts.This is according to statistics from Carson Investment Research: based on the statistics when the $S&P 500(.SPX)$ has risen more than 15% in the fir

As of the close on Friday,$S&P/ASX 200(XJO.AU)$ closed at 7,148.10 points, down 2.62% n the past 5 days.During the last 5 trading days, $Inghams Group(ING.AU)$ was up 19.01%; $Carsales.Com(CAR.AU)$ added 13.37%; $Lake Resources NL(LKE.AU)$ was up 12.82%; $GUD Holdings Ltd(GUD.AU)$ rose 12.54%; and $COCHLEAR LIMITED(COH.AU)$ increased 11.91%.1. $Inghams Group(ING.AU)$ jumped 19% on comprehensive improvement in revenue, profit and EPSInghams Group

$Meta Platforms, Inc.(META)$ announced this week that it will partner with major cloud computing providers including Microsoft to bring its large AI language model Llama 2 into commercial applications. This is indeed a major strategic move, signaling that Meta is actively transforming its business for the future. 1.Llama 2 Competes with ChatGPT According to Meta's official data, Llama 2 has 40% more training data compared to the previous version, and includes 70 billion, 130 billion and 700 billion parameter versions. Llama 2 pre-trained models were trained on 200 trillion tokens, with context length twice as long as Llama 1. Its fine-tuned models have already been trained on over 1 million human annotations. Similar to ChatGPT, Llama 2 also went