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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

Momentum Indicator for IYF turns positive, indicating new upward trend

IYF saw its Momentum Indicator move above the 0 level on February 14, 2024. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 83 similar instances where the indicator turned positive. In of the 83 cases, the stock moved higher in the following days. The odds of a move higher are at .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Moving Average Convergence Divergence (MACD) for IYF just turned positive on February 15, 2024. Looking at past instances where IYF's MACD turned positive, the stock continued to rise in of 45 cases over the following month. The odds of a continued upward trend are .

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where IYF advanced for three days, in of 360 cases, the price rose further within the following month. The odds of a continued upward trend are .

The Aroon Indicator entered an Uptrend today. In of 358 cases where IYF Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .

Bearish Trend Analysis

The RSI Indicator has been in the overbought zone for 1 day. Expect a price pull-back in the near future.

The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 5 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where IYF declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

IYF broke above its upper Bollinger Band on February 15, 2024. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.

Fundamental Analysis (Ratings)

Fear & Greed

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), Citigroup (NYSE:C), Charles Schwab Corp (The) (NYSE:SCHW), 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 and in investments that have economic characteristics that are substantially identical to 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 34.83B. The market cap for tickers in the group ranges from 626.55M to 632.33B. BRK.B holds the highest valuation in this group at 632.33B. The lowest valued company is UWMC at 626.55M.

High and low price notable news

The average weekly price growth across all stocks in the iShares US Financials ETF ETF was 1%. For the same ETF, the average monthly price growth was 5%, and the average quarterly price growth was 21%. DFS experienced the highest price growth at 11%, while COIN experienced the biggest fall at -8%.

Volume

The average weekly volume growth across all stocks in the iShares US Financials ETF ETF was -18%. For the same stocks of the ETF, the average monthly volume growth was -5% and the average quarterly volume growth was 42%

Fundamental Analysis Ratings

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

Valuation Rating: 69
P/E Growth Rating: 51
Price Growth Rating: 44
SMR Rating: 56
Profit Risk Rating: 54
Seasonality Score: -55 (-100 ... +100)
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IYFDaily Signal changed days agoGain/Loss if shorted
 
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A.I.Advisor
published price charts
A.I. Advisor
published General Information

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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IYF and

Correlation & Price change

A.I.dvisor indicates that over the last year, IYF has been closely correlated with FNCL. These tickers have moved in lockstep 99% of the time. This A.I.-generated data suggests there is a high statistical probability that if IYF jumps, then FNCL could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To IYF
1D Price
Change %
IYF100%
+0.31%
FNCL - IYF
99%
Closely correlated
+0.42%
VFH - IYF
99%
Closely correlated
+0.37%
XLF - IYF
99%
Closely correlated
+0.50%
IYG - IYF
98%
Closely correlated
+0.27%
FXO - IYF
95%
Closely correlated
+0.36%
More
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