Consumer-centric fintech firms are poised to thrive during the interest rate reduction cycle, with companies like $Affirm Holdings, Inc.(AFRM)$ , $Upstart Holdings, Inc.(UPST)$ , and $Payoneer Global Inc.(PAYO)$ at the forefront.
Adobe Analytics reported on November 30th that during the "Black Friday" sales event, American consumers set a new record by spending $10.8 billion online, marking a 10.2% increase in total Black Friday sales compared to the previous year. The top-selling items for this year included toys, jewelry, home appliances, skincare and haircare products, clothing, and electronic devices.
Notably, online sales this year surpassed the $10 billion threshold, signifying a milestone for U.S. e-commerce. Adobe Analytics noted that websites utilizing AI to assist consumers experienced a staggering 1,800% increase in traffic compared to last year's "Black Friday." AI appears to have been instrumental in this success, and online fintech companies are set to continue reaping the benefits.
Several companies deserve attention in this context:
$Affirm Holdings, Inc.(AFRM)$ is a leading "Buy Now, Pay Later" (BNPL) service provider, offering payment and consumer credit options, particularly catering to millennials who may not yet qualify for traditional credit card loans. The company has recently expanded its reach, entering the UK market.
$Upstart Holdings, Inc.(UPST)$ is an AI-driven lending platform that leverages advanced AI to analyze potential borrowers' data and partners with banks to offer personal unsecured loans. Upstart primarily serves individuals who are typically deemed ineligible for loans, such as young borrowers, immigrants, and those with poor credit histories or rejections from banks.
$Payoneer Global Inc.(PAYO)$ specializes in offering cross-border B2B financial solutions for small and medium-sized businesses (SMBs), enabling them to conduct international transactions at reduced costs and with greater speed. Its brand recognition in the cross-border payment sector is second only to PayPal.
Try to use the moving average of technical analysis to identify support levels and find the best buying point
In stock trading, support is an extremely important concept. It refers to the price level where the stock price may encounter support and stabilize when it falls. The formation of support is often related to a variety of factors.
From the perspective of technical analysis, the support level may be the low point of the previous stock price, or the location of an important moving average. When the stock price approaches these support levels, the buying power in the market tends to increase, thereby preventing the stock price from falling further.
From a fundamental perspective, support levels may also be related to the intrinsic value of the company. When the stock price falls to the bottom line of the company's valuation, investors may think that the stock has a high cost-effectiveness at this time, so they buy it and form support.
The above 3 stocks reflect the role of moving average support very well
Prices usually rebound when they hit important moving averages.
$Upstart Holdings, Inc.(UPST)$
As shown in the figure above, the stock price rebounded when it hit MA5 (orange), MA30 (green), and MA10 (yellow) respectively at points A, B, and C.
As a rule of thumb, the longer the time frame of the candlestick chart and the longer the time frame of the moving average, the stronger their support and resistance are. That is, the 30-day moving average in the daily chart may be the strongest support and resistance level. The support and resistance of the moving average in the 1-minute candlestick chart are often not as strong.
Weekly > Daily > 5-minute candlestick > 1-minute candlestick
For day traders, it is best to draw support and resistance lines at the position of the extreme price or long shadow in the daily chart, rather than at the position of the candlestick closing price.
It should be noted that support levels are not absolute. Sometimes, the stock price may break through the support level and continue to fall, which may be due to a significant change in market conditions or some unforeseen factors.
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