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Sergey Savastiouk's Avatar
published in Blogs
Mar 06, 2021

Big Banks Learning to Love A.I.

While not historically associated with technological advances like other industries, the financial sector has come around to artificial intelligence for a variety of reasons. AI can quickly comb through massive amounts of data, making certain tasks that would previously have required extensive human labor. The result is something that any business can embrace – extensive cost savings, projected by Autonomous to be $1 trillion by 2030.

Fraud is extremely costly to banks – HSBC coughed up roughly $1.9 billion in 2012 following allegations of allowing cross-border money laundering from drug cartels, while ING paid $900 million in 2018 after admitting that criminals had used their accounts for similar purposes. AI could have helped detect the kind of behavior that would have been difficult for a human to pick up on in an ever-growing sea of transactions, creating valuable financial savings – not to mention a way to avoid a PR nightmare.

Additionally, AI can minimize false positive fraudulent transactions by automating decision-making about those transactions based on data, growing steadily more perceptive with the more information it analyzes. AI can mitigate human error that would have otherwise adverse effects on business – Amy Zirkle, a global payments expert with the Electronic Transaction Association, touted AI as a chance to be “two steps ahead” regarding security, allowing for “a healthy payments ecosystem, one that is viable, one that is sustainable, one that customers come to with trust and confidence.”

AI can also create the kind of personalized customer experience that engenders long-term loyalty (and increases profit). Its ability to aggregate data across banking systems, then intelligently derive insight from it allows for individually tailored, seamless experiences. Chuck Monroe of Wells Fargo Artificial Intelligence Enterprise Solutions explained to AZBigMedia that AI allows banks “to more efficiently analyze” the masses of data in their possession and “pull key insights, often in real-time, to deliver personalized guidance to customers in the moment, wherever they are.” This means banks can offer personal advice, anticipate customer needs, and “[offer] them something they value, to make their lives easier” – especially with customer service, where AI can ask big picture questions and free employees to handle situations better suited for human-to-human interaction.

By augmenting existing functions and processes with artificial intelligence, banks are becoming smarter and more efficient, making customers happy, and growing profits. Fraud, personalization, and customer support are just a few of the many areas that AI can help banks. The financial sector is learning to love AI, and both business and customer are better for it.

The Investment and Financial Industry Faces the Same A.I.-Driven Revolution

Hedge funds and large institutional investors have been using Artificial Intelligence to analyze large data sets for investment opportunities, and they have also unleashed A.I. on charts to discover patterns and trends. Not only can the A.I. scan thousands of individual securities and cryptocurrencies for patterns and trends, and it generate trade ideas based on what it finds. Hedge funds have had a leg-up on the retail investor for some time now.

Not anymore. Tickeron has launched a new investment platform, and it is designed to give retail investors access to sophisticated AI for a multitude of functions:

  • Finding stock patterns in the market
  • Finding trends in the stock market
  • Testing portfolios to see if they are well-diversified
  • Back-testing statistics to see how different stock patterns generated trading results
  • Making Predictions for price movements in the future, with “A.I. Rank” and level of confidence in the trade.                    
  • And much more. No longer is AI just confined to the biggest hedge funds in the world. It can now be accessed by everyday investors. Learn how on Tickeron.com.

 

Related Ticker: IYF

IYF in -4.53% downward trend, declining for three consecutive days on December 18, 2024

Moving lower for three straight days is viewed as a bearish sign. Keep an eye on this stock for future declines. Considering data from situations where IYF declined for three days, in of 263 cases, the price declined further within the following month. The odds of a continued downward trend are .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on December 09, 2024. You may want to consider selling the stock, shorting the stock, or exploring put options on IYF as a result. In of 81 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .

The Moving Average Convergence Divergence Histogram (MACD) for IYF turned negative on December 03, 2024. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 44 similar instances when the indicator turned negative. In of the 44 cases the stock turned lower in the days that followed. This puts the odds of success at .

IYF moved below its 50-day moving average on December 18, 2024 date and that indicates a change from an upward trend to a downward trend.

Bullish Trend Analysis

The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where IYF's RSI Indicator exited the oversold zone, of 29 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .

The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 9 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where IYF advanced for three days, in of 366 cases, the price rose further within the following month. The odds of a continued upward trend are .

IYF may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

The Aroon Indicator entered an Uptrend today. In of 331 cases where IYF Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .

Notable companies

The most notable companies in this group are JPMorgan Chase & Co (NYSE:JPM), Bank of America Corp (NYSE:BAC), Wells Fargo & Co (NYSE:WFC), Morgan Stanley (NYSE:MS), Goldman Sachs Group (NYSE:GS), Charles Schwab Corp (The) (NYSE:SCHW), Citigroup (NYSE:C), CME Group (NASDAQ:CME), US Bancorp (NYSE:USB), PNC Financial Services Group (NYSE:PNC).

Industry description

The investment seeks to track the investment results of the Russell 1000 Financials 40 Act 15/22.5 Daily Capped Index composed of U.S. equities in the financial sector. The fund generally will invest at least 80% of its assets in the component securities of its underlying index. The underlying index measures the performance of the financials sector of the U.S. equity market.

Market Cap

The average market capitalization across the iShares US Financials ETF ETF is 35.12B. The market cap for tickers in the group ranges from 686.13M to 632.33B. BRK.B holds the highest valuation in this group at 632.33B. The lowest valued company is UWMC at 686.13M.

High and low price notable news

The average weekly price growth across all stocks in the iShares US Financials ETF ETF was -3%. For the same ETF, the average monthly price growth was -3%, and the average quarterly price growth was 18%. GL experienced the highest price growth at 4%, while NU experienced the biggest fall at -13%.

Volume

The average weekly volume growth across all stocks in the iShares US Financials ETF ETF was 152%. For the same stocks of the ETF, the average monthly volume growth was 142% and the average quarterly volume growth was 19%

Fundamental Analysis Ratings

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

Valuation Rating: 67
P/E Growth Rating: 46
Price Growth Rating: 48
SMR Rating: 48
Profit Risk Rating: 41
Seasonality Score: 34 (-100 ... +100)
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General Information

Category Financial

Profile
Fundamentals
Details
Category
Financial
Address
iShares Trust400 Howard StreetSan Francisco
Phone
1-800-474-2737
Web
www.ishares.com
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