Go to the list of all blogs
Sergey Savastiouk's Avatar
published in Blogs
Dec 26, 2018
CNBC: Retail is on pace for worst December ever, but new year rally could be ahead

CNBC: Retail is on pace for worst December ever, but new year rally could be ahead

There's been little yuletide cheer for the retailers.

The XRT retail ETF is down 17 percent this month, tracking for its worst December since its inception in 2006.

One market watcher says indiscriminate selling may have unfairly taken retail down. READ MORE...

Related Ticker: XRT

Momentum Indicator for XRT turns negative, indicating new downward trend

XRT saw its Momentum Indicator move below the 0 level on March 02, 2026. This is an indication that the stock could be shifting in to a new downward move. Traders may want to consider selling the stock or exploring put options. Tickeron's A.I.dvisor looked at 93 similar instances where the indicator turned negative. In of the 93 cases, the stock moved further down in the following days. The odds of a decline are at .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

XRT moved below its 50-day moving average on February 23, 2026 date and that indicates a change from an upward trend to a downward trend.

The 10-day moving average for XRT crossed bearishly below the 50-day moving average on February 19, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In of 17 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .

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

The Aroon Indicator for XRT entered a downward trend on February 27, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

Bullish Trend Analysis

The RSI Indicator demonstrates that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.

The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.

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

Notable companies

The most notable companies in this group are Amazon.com (NASDAQ:AMZN), Walmart (NASDAQ:WMT), Costco Wholesale Corp (NASDAQ:COST), TJX Companies (NYSE:TJX), AutoZone (NYSE:AZO), Target Corp (NYSE:TGT), Kroger Co (The) (NYSE:KR), eBay (NASDAQ:EBAY), Dollar General Corp (NYSE:DG), Ulta Beauty (NASDAQ:ULTA).

Industry description

The investment seeks to provide investment results that, before fees and expenses, correspond generally to the total return performance of an index derived from the retail segment of a U.S. total market composite index. In seeking to track the performance of the S&P Retail Select Industry Index (the "index"), the fund employs a sampling strategy. It generally invests substantially all, but at least 80%, of its total assets in the securities comprising the index. The index represents the retail segment of the S&P Total Market Index ("S&P TMI").

Market Cap

The average market capitalization across the State Street® SPDR® S&P® Retail ETF ETF is 64.09B. The market cap for tickers in the group ranges from 170.38M to 2.35T. AMZN holds the highest valuation in this group at 2.35T. The lowest valued company is CRMT at 170.38M.

High and low price notable news

The average weekly price growth across all stocks in the State Street® SPDR® S&P® Retail ETF ETF was 16%. For the same ETF, the average monthly price growth was 15%, and the average quarterly price growth was 79%. MUSA experienced the highest price growth at 12%, while GO experienced the biggest fall at -33%.

Volume

The average weekly volume growth across all stocks in the State Street® SPDR® S&P® Retail ETF ETF was -9%. For the same stocks of the ETF, the average monthly volume growth was -91% and the average quarterly volume growth was -91%

Fundamental Analysis Ratings

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

Valuation Rating: 56
P/E Growth Rating: 42
Price Growth Rating: 57
SMR Rating: 54
Profit Risk Rating: 68
Seasonality Score: -17 (-100 ... +100)
Related Portfolios: CONSUMER STAPLES ETFs
View a ticker or compare two or three
XRT
Daily Signal:
Gain/Loss:
Interact to see
Advertisement
A.I.Advisor
published price charts
These past five trading days, the ETF lost 0.00% with an average daily volume of 0 shares traded.The ETF tracked a drawdown of 0% for this period.
A.I. Advisor
published General Information

General Information

Category ConsumerDiscretionary

Profile
Fundamentals
Details
Category
Consumer Cyclical
Address
SPDR Series TrustOne Lincoln Street Cph0326Boston
Phone
N/A
Web
www.spdrs.com
Interact to see
Advertisement
Financial Learning Models (FLMs) and machine learning (ML) to operate at unprecedented speeds. These agents, now optimized for 5-minute (M5) timeframes, have demonstrated extraordinary annualized returns, with the top agent exceeding +160%.
AI-Driven Market Insights A.I.dvisor’s latest analysis compares SPY and VOO, two leading ETFs, revealing near-identical year-to-date (YTD) gains of 9.82% for SPY and 9.87% for VOO, a 99% parity.
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These innovative brokerage agents provide real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced groundbreaking results from its AI Trading Agents, showcasing exceptional performance in real-time trading signals powered by machine learning. Utilizing tick-level brokerage data and precise trade amounts, these agents operate on 5-, 15-, and 60-minute timeframes to provide traders with actionable insights in volatile markets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These cutting-edge brokerage agents deliver real-time trading signals powered by machine learning, leveraging tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes. Designed to empower traders with superior insights, the agents have demonstrated exceptional performance, including annualized returns as high as 82%.
#artificial_intelligence
The financial markets have undergone a profound transformation in recent years, driven by the integration of artificial intelligence (AI) into trading strategies. As a financial analyst, writer, and AI specialist, one observes that AI trading agents represent a pinnacle of this evolution, blending machine learning algorithms with real-time data analysis to execute trades with unprecedented precision.
#artificial_intelligence
AI trading represents a revolutionary shift in how financial markets operate, combining artificial intelligence, machine learning, and sophisticated algorithmic trading strategies to execute trades with unprecedented precision and speed.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced exceptional trading results from its AI Trading Agent focused on Hubbell Incorporated (HUBB). The agent, operating on a 5-minute timeframe, delivered a +105% annualized return, starting from an initial balance of $100,000.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents, delivering real-time trading signals and sophisticated money management for retail and institutional traders. Powered by Financial Learning Models (FLMs) and machine learning, these agents operate across 5-, 15-, and 60-minute timeframes, achieving annualized returns of up to 145% on select portfolios.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the exceptional performance of its AI Trading Agents, achieving annualized returns of up to 162%, profitable trade percentages as high as 90.51%, and a robust profit factor across multiple assets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, proudly announces the exceptional performance of its AI Trading Agents, delivering annualized returns of up to 188% on a 5-minute timeframe.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced the launch of its advanced Pattern Search Engine (PSE), a revolutionary platform that scans 39 distinct trading patterns across stocks, penny stocks, ETFs, crypto, and forex.
#artificial_intelligence
AI trading bots represent the pinnacle of financial technology innovation, transforming how traders and investors interact with global markets.
#artificial_intelligence
As a financial analyst, writer, and AI specialist, I've always pushed for innovations that merge artificial intelligence with actionable trading tools. In the fast-paced world of modern markets, where volatility demands quick decisions, Tickeron's new "My Trades Aggregator (from AI Robots Followed)" aggregator stands out as a revolutionary feature.
#artificial_intelligence#trading
Tickeron, a leading provider of AI-driven trading solutions, is thrilled to announce the exceptional performance of its AI Trading Agents, delivering outstanding results across multiple high-profile stocks.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technologies, today announced groundbreaking results from its AI Crypto Trading Virtual Agents. These innovative tools provide real-time trading signals, integrated money management, and customizable balances, all powered by advanced machine learning algorithms operating on 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technologies, today announced the launch of its advanced AI Trading Brokerage Agents. These cutting-edge tools deliver real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
This remarkable rally represents far more than typical market volatility – it signals a fundamental transformation in investor sentiment toward AI connectivity infrastructure and the critical role of semiconductor-based solutions in enabling next-generation artificial intelligence systems
Tickeron, a leader in AI-driven financial tools, today announced the launch of its comprehensive subscription package combining AI Trading Robots for cryptocurrencies with Real-Time Patterns (RTP) analysis.
#artificial_intelligence
Kinross Gold Corporation (KGC), a leading Canada-based gold producer, yielded approximately 2.1 million gold equivalent ounces in 2024.
#artificial_intelligence