MENU
Go to the list of all blogs
Allana's Avatar
published in Blogs
Mar 26, 2019

Goldman Sachs (GS) enters credit card business

Goldman Sachs is taking a swipe at the consumer finance market, with the launch of a credit card in partnership with Apple. This is the first ever credit card to be offered by Goldman Sachs.

According to a memo obtained by CNBC, David Solomon, CEO at Goldman Sachs said, “This partnership is a major step in the growth of our consumer franchise, furthering our vision to create the leading digital consumer platform.”

Customers will be eligible for cashbacks, including 2% cashback on all Apple Pay purchases made with the card and 3% upon buying at the Apple Stores or at the App Store. These cashbacks would be added to the users Apple Cash card daily and could be put to use instantly. 

Related Ticker: GS

GS in upward trend: price may jump up because it broke its lower Bollinger Band on September 03, 2024

GS may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. In of 34 cases where GS's price broke its lower Bollinger Band, its price rose further in the following month. The odds of a continued upward trend are .

Price Prediction Chart
Show more

Notable companies

The most notable companies in this group are Morgan Stanley (NYSE:MS), Goldman Sachs Group (NYSE:GS), Charles Schwab Corp (The) (NYSE:SCHW), CME Group (NASDAQ:CME).

Industry description

These banks specialize in underwriting (helping companies with debt financing or equity issuances), IPOs, facilitating mergers and other corporate reorganizations and acting as a broker or financial advisor for institutions. They might also trade securities on their own accounts. Investment banks potentially thrive on expanding its network of clients, since that could help them increase profits. Goldman Sachs, Morgan Stanley and CME Group Inc are some of the largest investment banking companies.

Market Cap

The average market capitalization across the Investment Banks/Brokers Industry is 11.26B. The market cap for tickers in the group ranges from 13 to 928.5B. PKRSF holds the highest valuation in this group at 928.5B. The lowest valued company is BFCH at 13.

High and low price notable news

The average weekly price growth across all stocks in the Investment Banks/Brokers Industry was -4%. For the same Industry, the average monthly price growth was 6%, and the average quarterly price growth was 1%. MNTR experienced the highest price growth at 52%, while LNTO experienced the biggest fall at -41%.

Volume

The average weekly volume growth across all stocks in the Investment Banks/Brokers Industry was -13%. For the same stocks of the Industry, the average monthly volume growth was -21% and the average quarterly volume growth was -52%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 59
P/E Growth Rating: 68
Price Growth Rating: 54
SMR Rating: 65
Profit Risk Rating: 72
Seasonality Score: -19 (-100 ... +100)
Related Portfolios: Credit Services
View a ticker or compare two or three
GS
Daily Signalchanged days ago
Gain/Loss if shorted
Show more...
Ad is loading...
A.I.Advisor
published price charts
A.I. Advisor
published General Information

General Information

a provider of investment banking, securities and asset management services

Industry InvestmentBanksBrokers

Profile
Fundamentals
Details
Industry
Investment Banks Or Brokers
Address
200 West Street
Phone
+1 212 902-1000
Employees
45300
Web
https://www.goldmansachs.com
Ad is loading...
The latest insights from the AI trading robots, specifically those accessible through "Swing Trader, Popular Stocks: Short Bias Strategy (TA&FA)," have proven to be noteworthy. One standout performer in their portfolio is DLTR, which boasted a commendable +5.60% gain over the previous week. DLTR has been on an impressive uptrend, recording gains for three consecutive days as of December 04, 2023. In the realm of technical analysis, a three-day upward movement is often perceived as a bullish signal.
The Tickeron quant team is delighted to introduce our best robot of the week tailored for Trend Traders. Our sophisticated AI Robot, has been designed for manual trading enthusiasts who value independent signal selection.
In the dynamic world of stock trading, the utilization of AI trading robots has become increasingly prevalent. One such example is the "Trend Trader, Popular Stocks: Price Action Trading Strategy (TA&FA)," which showcased its prowess by yielding a remarkable +4.98% gain while trading ZIM over the previous week. As we delve into the intricacies of ZIM's recent performance, let's analyze the earnings results, market indicators, and industry trends that shape the narrative.
In the ever-evolving landscape of financial markets, artificial intelligence (AI) trading bots have emerged as powerful tools, providing investors with automated strategies to navigate the complexities of stock trading. In this analysis, we delve into the recent performance of AI trading robots, specifically those accessible through "Trend Trader, Popular Stocks: Price Action Trading Strategy (TA&FA)," which demonstrated a remarkable +4.67% gain while trading MRVL over the previous week.
The Tickeron quant team proudly presents our top-performing AI robot for swing traders. This robot stands out with its remarkable accuracy, empowering traders to capitalize on diverse market conditions and transaction types. Demonstrating its proficiency, it achieved profitability in short trades during last week's strong uptrend in the US stock markets.
The use of artificial intelligence (AI) in trading has become increasingly prevalent, with bots proving their mettle in the dynamic world of stocks. In this analysis, we delve into the recent performance of AI trading robots, specifically those accessible through "Swing Trader: High Volatility Stocks for Active Trading (TA&FA)." One noteworthy achievement is the impressive +4.65% gain generated by these bots while trading AMD over the course of the previous week.
One such example is the "Trend Trader: Popular Stocks (TA&FA)" platform, where AI trading robots demonstrated their prowess by generating a notable gain while actively trading Adobe Inc. (ADBE) over the previous week. In this article, we delve into a technical analysis of ADBE's recent performance, shedding light on key indicators and recent earnings results.
These sophisticated algorithms leverage data analytics and machine learning to execute trades with speed and precision, aiming to capitalize on market fluctuations and volatility. In a recent demonstration of their prowess, the Swing Trader: Top High-Volatility Stocks v.2 (TA) platform showcased remarkable performance, yielding a notable +4.50% gain while trading XLK over the previous week.
This is particularly evident in the recent performance of bots accessible via "Day Trader: High Volatility Stocks for Active Trading (TA&FA)." These bots, often likened to efficient bot factories, have demonstrated remarkable proficiency, yielding a notable +4.08% gain while actively trading LRCX over the past week.
One notable example comes from "Swing Trader: Stocks from Financial Sector (TA&FA)," where these AI trading robots have proven their mettle, securing a commendable +4,07% gain while trading WABC over the past week. This achievement underscores the potential of AI-driven strategies in navigating the complexities of the financial markets.
The 'metabolic' category within the biotechnology industry has been witnessing remarkable growth, particularly in companies focused on developing drugs for gastrointestinal and metabolism disorders.
The portable device sector, encompassing companies involved in the production and sale of portable devices, witnessed a notable performance surge of +8.63% over the past week. This surge was led by prominent players including Apple (AAPL), CEVA, and Generac Holdings (GNRC). Despite this recent uptick, however, the sector currently faces a negative outlook, as indicated by various technical indicators and market sentiment analyses.
The Pulp & Paper industry, encompassing companies involved in the production of pulp, paper, and specialty paper products, has witnessed an impressive average stock gain of 11.68% over the last week.
In the whirlwind of the current mergers and acquisitions frenzy, investors are reaping substantial rewards as stocks within the merger industry theme surged by an impressive 20.9% on average over the past month.
The Tickeron quant team proudly introduces our premier AI Robot, tailor-made for trend traders who prefer manual trading and selecting their own signals. This AI Robot stands out with its impressive track record of consistent trading predictions, empowering traders to align their decisions with personal preferences.
Tickeron is excited to highlight the exceptional performance of our top AI robot this week, given the recent downturn in major US stock indices. While the SP500, NASDAQ 100, and Dow Jones Industrial all experienced declines, our AI robot, thanks to its well-calibrated diversification across various industries, demonstrated remarkable resilience.
As the trading week came to a close on Friday, there were notable movements across various asset classes:
Tickeron's quant team diligently monitors developed trading algorithms daily to determine the most effective ones. Today, we are delighted to present three of the best robots tailored for swing traders, showcasing consistently positive results over several months, irrespective of market conditions. This week, they underscored their efficacy by yielding impressive gains across various stocks, even as major US stock indexes dipped.
Tickeron is excited to highlight the exceptional performance of our top AI robot this week. The US stock market has experienced a consistent upward trend for the past five months, heightening the anticipation of a forthcoming correction with each passing day.
Introducing our top-performing best AI Robot of the week, designed by Tickeron's expert quant team for trading small-cap stocks. This algorithm blends classical and proprietary technical indicators, honed through advanced machine learning, to empower users with effective portfolio diversification and maximum profitability in the dynamic market.